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Engineer Director of Web Platform & Engineering

Leads web platform and engineering strategy, overseeing development teams, architecture, and delivery of scalable web systems.

Exec Posted about 4 hours ago Jobicy AI
What this role involves
At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As...
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Engineer Director of Engineering, Data Products

Leads engineering teams building and delivering healthcare data products and technology for primary care.

Exec Posted about 4 hours ago Jobicy AI
What this role involves
At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver...
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Engineer VP, Engineering, Network Observability at BlueCat

Leads engineering strategy, architecture, delivery, and distributed teams building BlueCat’s data-intensive network observability platform.

Exec Posted 1 day ago RemoteFirstJobs Product
What this role involves

We’re BlueCat—a Great Place to Work for good reason. Our team solves critical network challenges for some of the world’s largest organizations. In simple terms, we manage the systems that keep networks running smoothly, securely, and reliably—the backbone infrastructure that powers digital transformation for enterprises globally. Our Intelligent Network Operations platform delivers and enables AI-driven agentic ops at scale, automating and simplifying how companies manage, secure, and optimize their networks.

But what makes us different is how we work: we believe great work happens in an environment where you’re trusted, heard, and supported. With teams globally, we’re building a workplace culture that values collaboration and integrity as much as innovation. If you’re looking to advance your career with a company that invests in its people, this is it.

BlueCat is seeking a VP, Engineering, Network Observability to lead the engineering organization behind LiveAction, BlueCat’s Network Observability product line. This leader will own the technical direction, architecture, delivery, and operational excellence of a complex, data-intensive platform that gives enterprises, telcos, and government agencies deep, predictive visibility into network health, performance, and behavior — from the data center and campus to the WAN, cloud, and edge.

This is a highly cross-functional leadership role partnering closely with Product Management, Customer Care, Sales, Marketing, and Customer Success to ensure tight alignment between engineering execution, customer experience, and business outcomes.

Experience

We are looking for someone who has experience:

  • Setting the technical direction and multi-year engineering roadmap for a network observability, network performance monitoring (NPM), or infrastructure monitoring product line
  • Leading engineering teams that have delivered successful enterprise infrastructure products and services, both SaaS and on-prem
  • Architecting and scaling data-intensive platforms that ingest, process, and analyze network telemetry — flow data (NetFlow/IPFIX/sFlow), SNMP, packet capture, synthetic testing, and streaming telemetry
  • Delivering AI (ML, Generative, Agentic) capabilities for anomaly detection, root-cause analysis, and predictive insights that reduce mean-time-to-resolution
  • Evolving long-lived code bases and developing a pragmatic go-forward plan to retire tech debt
  • Building high-performing, geographically distributed engineering teams, including managing work transitions to offshore teams and multiple sites
  • Coaching, mentoring, and developing top talent, including managers and senior technical leaders
  • Establishing software development standards, processes, and best practices for the entire organization
  • Developing strategic plans to accomplish technical and business objectives with Product Management, executive leadership, and your team members
  • Engaging directly with enterprise and government strategic accounts to understand technical requirements and resolve escalations

Required Qualifications

  • MS/BS in Computer Science, Engineering, or related fields
  • 15+ years of experience in a software engineering environment
  • 10+ years managing senior individual contributors and other leads/managers, including leading managers of managers
  • Direct experience building network observability, network performance monitoring, or network/infrastructure management products
  • Strong technical fluency in networking fundamentals and telemetry (TCP/IP, routing/switching, NetFlow/IPFIX, SNMP, packet analysis, WAN/SD-WAN) and key open source technologies – e.g. clickhouse, Prometheus/Grafana, K8s
  • Experience in delivering high performance hardware/appliances system for network telemetry/packets.
  • Strong experience and detailed technical knowledge in SaaS or PaaS engineering, as well as on-prem enterprise software delivery
  • Strong development experience in Java, C++, or similar OO languages
  • Experience operating at, or reporting directly to, the C-level
  • Strong written and verbal communication skills
  • Experience in a collaborative, agile development environment

Preferred Qualifications

  • Hands-on experience developing services on a public cloud platform (AWS, Azure, GCP, Oracle)
  • Experience with high-throughput data pipelines and analytics (e.g., streaming, time-series, and large-scale storage technologies)
  • Background in AIOps, machine learning for anomaly detection, or predictive analytics applied to network or IT operations
  • Experience transitioning a product tech stack toward a more open-source, cloud-portable architecture
  • Familiarity with government/public sector requirements (e.g., FedRAMP, StateRAMP, ATO processes)
  • Post-acquisition technology integration experience
  • Prior experience in a customer-facing technical role (e.g., sales engineering, professional services, support, product management)
  • A mix of smaller-company (<$100M revenue) and larger-company (>$1B revenue) experience

If you share our enthusiasm for the future of our company and are eager to contribute to our vibrant workplace, we look forward to receiving your application! Our comprehensive benefits encompass your health, financial well-being, and overall wellness, and we are committed to providing an exceptional work environment, enriching employee programs, and fostering a remarkable company culture. At our core, we champion values such as transparency, curiosity, respect, and above all, the pursuit of enjoyment.

In addition, we offer a range of appealing perks, including:

A Professional Development Budget

Dedicated Wellness Days and Wellness Week

A Lifestyle Spending Account

An Employee Recognition Program

Join us in shaping the future of our organization, where your talent and dedication can truly thrive. We invite you to apply and become a valuable member of our team!

BlueCat is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. BlueCat will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Read the full description
Engineer VP, Engineering, Network Observability at BlueCat

Leads engineering strategy, architecture, delivery, and distributed teams building BlueCat’s AI-enabled network observability platform.

Exec Posted 1 day ago RemoteFirstJobs Product
What this role involves

We’re BlueCat—a Great Place to Work for good reason. Our team solves critical network challenges for some of the world’s largest organizations. In simple terms, we manage the systems that keep networks running smoothly, securely, and reliably—the backbone infrastructure that powers digital transformation for enterprises globally. Our Intelligent Network Operations platform delivers and enables AI-driven agentic ops at scale, automating and simplifying how companies manage, secure, and optimize their networks.

But what makes us different is how we work: we believe great work happens in an environment where you’re trusted, heard, and supported. With teams globally, we’re building a workplace culture that values collaboration and integrity as much as innovation. If you’re looking to advance your career with a company that invests in its people, this is it.

BlueCat is seeking a VP, Engineering, Network Observability to lead the engineering organization behind LiveAction, BlueCat’s Network Observability product line. This leader will own the technical direction, architecture, delivery, and operational excellence of a complex, data-intensive platform that gives enterprises, telcos, and government agencies deep, predictive visibility into network health, performance, and behavior — from the data center and campus to the WAN, cloud, and edge.

This is a highly cross-functional leadership role partnering closely with Product Management, Customer Care, Sales, Marketing, and Customer Success to ensure tight alignment between engineering execution, customer experience, and business outcomes.

Experience

We are looking for someone who has experience:

  • Setting the technical direction and multi-year engineering roadmap for a network observability, network performance monitoring (NPM), or infrastructure monitoring product line
  • Leading engineering teams that have delivered successful enterprise infrastructure products and services, both SaaS and on-prem
  • Architecting and scaling data-intensive platforms that ingest, process, and analyze network telemetry — flow data (NetFlow/IPFIX/sFlow), SNMP, packet capture, synthetic testing, and streaming telemetry
  • Delivering AI (ML, Generative, Agentic) capabilities for anomaly detection, root-cause analysis, and predictive insights that reduce mean-time-to-resolution
  • Evolving long-lived code bases and developing a pragmatic go-forward plan to retire tech debt
  • Building high-performing, geographically distributed engineering teams, including managing work transitions to offshore teams and multiple sites
  • Coaching, mentoring, and developing top talent, including managers and senior technical leaders
  • Establishing software development standards, processes, and best practices for the entire organization
  • Developing strategic plans to accomplish technical and business objectives with Product Management, executive leadership, and your team members
  • Engaging directly with enterprise and government strategic accounts to understand technical requirements and resolve escalations

Required Qualifications

  • MS/BS in Computer Science, Engineering, or related fields
  • 15+ years of experience in a software engineering environment
  • 10+ years managing senior individual contributors and other leads/managers, including leading managers of managers
  • Direct experience building network observability, network performance monitoring, or network/infrastructure management products
  • Strong technical fluency in networking fundamentals and telemetry (TCP/IP, routing/switching, NetFlow/IPFIX, SNMP, packet analysis, WAN/SD-WAN) and key open source technologies – e.g. clickhouse, Prometheus/Grafana, K8s
  • Experience in delivering high performance hardware/appliances system for network telemetry/packets.
  • Strong experience and detailed technical knowledge in SaaS or PaaS engineering, as well as on-prem enterprise software delivery
  • Strong development experience in Java, C++, or similar OO languages
  • Experience operating at, or reporting directly to, the C-level
  • Strong written and verbal communication skills
  • Experience in a collaborative, agile development environment

Preferred Qualifications

  • Hands-on experience developing services on a public cloud platform (AWS, Azure, GCP, Oracle)
  • Experience with high-throughput data pipelines and analytics (e.g., streaming, time-series, and large-scale storage technologies)
  • Background in AIOps, machine learning for anomaly detection, or predictive analytics applied to network or IT operations
  • Experience transitioning a product tech stack toward a more open-source, cloud-portable architecture
  • Familiarity with government/public sector requirements (e.g., FedRAMP, StateRAMP, ATO processes)
  • Post-acquisition technology integration experience
  • Prior experience in a customer-facing technical role (e.g., sales engineering, professional services, support, product management)
  • A mix of smaller-company (<$100M revenue) and larger-company (>$1B revenue) experience

If you share our enthusiasm for the future of our company and are eager to contribute to our vibrant workplace, we look forward to receiving your application! Our comprehensive benefits encompass your health, financial well-being, and overall wellness, and we are committed to providing an exceptional work environment, enriching employee programs, and fostering a remarkable company culture. At our core, we champion values such as transparency, curiosity, respect, and above all, the pursuit of enjoyment.

In addition, we offer a range of appealing perks, including:

A Professional Development Budget

Dedicated Wellness Days and Wellness Week

A Lifestyle Spending Account

An Employee Recognition Program

Join us in shaping the future of our organization, where your talent and dedication can truly thrive. We invite you to apply and become a valuable member of our team!

BlueCat is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. BlueCat will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Read the full description
Engineer Director, Engineering – Platform

Leads platform engineering strategy, teams, and delivery for a cybersecurity-focused company.

Exec Remote Posted 1 day ago Jobicy AI
What this role involves
Reports to: Vice President, Engineering Location: Remote US Compensation: $240,000 to $300,000 base with bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by...
Read the full description
Engineer VP of Engineering at Lone Wolf Technologies

Leads engineering strategy, teams, software delivery, technical standards, and AI-enabled development practices across product lines.

Exec Posted 2 days ago RemoteFirstJobs Product
What this role involves

Lone Wolf is a leading real estate technology organization that specializes in developing innovative software solutions for the real estate industry. Our cutting-edge products empower real estate professionals, streamline operations, and enhance client experiences. As the Vice President of Engineering, you will be responsible for leading and overseeing all aspects of engineering for one or more product lines, driving technical excellence, and ensuring the successful delivery of our software products.

Responsibilities:

  • Provide strategic vision and technical leadership to the engineering team, aligning technology initiatives with the company’s goals and objectives.

  • Lead, mentor, and inspire a high-performing engineering organization, fostering a culture of innovation, collaboration, and continuous improvement.

  • Oversee the entire software development lifecycle, from requirements gathering to deployment, ensuring the successful and timely delivery of high-quality software products. Champion the adoption of AI-powered tools and automation across the SDLC—including AI-assisted code generation, automated code review, intelligent testing and QA, and CI/CD pipeline automation—to accelerate delivery velocity, improve code quality, and reduce manual overhead.

  • Develop and execute a technology roadmap that aligns with the company’s long-term vision, leveraging emerging technologies to drive innovation and maintain a competitive edge.

  • Collaborate closely with product management, design, and operations teams to ensure effective coordination, communication, and alignment of engineering efforts.

  • Promote and implement agile development methodologies, such as Scrum or Kanban, to enhance development efficiency and responsiveness to changing market needs.

  • Optimize resource allocation, including personnel, infrastructure, and budget, to support project priorities and business objectives.

  • Attract, recruit, and retain top engineering talent, fostering a diverse and inclusive team. Provide mentoring, coaching, and professional development opportunities to nurture individual growth and career advancement.

  • Establish and enforce engineering standards, best practices, and quality control processes to ensure the delivery of robust and reliable software solutions.

  • Identify and mitigate risks associated with engineering projects, including technical, operational, and security risks.

  • Collaborate with internal and external stakeholders, including executives, clients, and partners, to understand their needs, address concerns, and ensure alignment with business objectives.

  • Stay abreast of industry trends, emerging technologies, and best practices in real estate technology, applying relevant insights to drive innovation and competitive advantage.

Requirments:

  • Proven track record of successfully delivering complex software products on time and within budget.

  • Strong technical background, with expertise in software development methodologies, modern architectures, and cloud technologies.

  • Experience leading and managing high-performing engineering teams, fostering collaboration, innovation, and a customer-centric mindset.

  • Strategic thinker with the ability to translate business goals into actionable technology strategies.

  • Excellent communication, interpersonal, and leadership skills, with the ability to influence and inspire teams and stakeholders.

  • Solid understanding of agile development methodologies and experience implementing agile practices in an engineering organization.

  • Demonstrated experience leveraging AI tools and automation to streamline the software development lifecycle, including AI-assisted coding, automated testing, and CI/CD pipeline automation.

  • Familiarity with real estate industry concepts, processes, and technologies is a plus.

  • Strong business acumen and the ability to balance technical considerations with business priorities.

  • Demonstrated ability to navigate through ambiguity, make sound decisions, and drive results in a fast-paced and dynamic environment.

Qualifications:

  • EDUCATION:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • EXPERIENCE:10+ years of progressive experience in software development, with at least 5+ years in engineering leadership roles leading software teams, preferably within the real estate or technology industry.

$175,000 - $225,000 a year

Read the full description
Engineer Chief Technology Officer

Leads Prerender’s technology strategy, engineering organization, architecture, and product development as the company’s chief technical executive.

Exec Posted 2 days ago Jobicy AI
What this role involves
This role is part of our Prerender team, one of our largest brands at saas.group. Prerender is a dynamic rendering SaaS platform within the saas.group portfolio. Since 2017, we’ve revolutionized...
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Engineer Director, Engineering – Commerce

Leads engineering teams building and scaling commerce systems for a digital health and wellness platform.

Exec Posted 3 days ago Jobicy AI
What this role involves
Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by...
Read the full description
Engineer Director, Enterprise AI & Machine Learning Engineering at Instacart

Leads engineering and machine learning teams building and scaling agentic AI solutions for Instacart’s retail partners.

Exec Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities.

In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment.

This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems.

About the Job

  • Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
  • Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution.
  • Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products.
  • Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value.
  • Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements.
  • Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams.

You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up.

About You

Minimum Qualifications

  • Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
  • Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery.
  • Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems.
  • Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.
  • Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment.

Preferred Qualifications

  • Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence.
  • Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners.
  • Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams.
  • Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions.
  • A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$313,000—$330,500 CAD

Read the full description
Engineer Director, Enterprise AI & Machine Learning Engineering at Instacart

Leads engineering and machine learning teams building and scaling agentic AI solutions for enterprise retail customers.

Exec Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities.

In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment.

This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems.

About the Job

  • Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
  • Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution.
  • Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products.
  • Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value.
  • Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements.
  • Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams.

You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up.

About You

Minimum Qualifications

  • Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
  • Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery.
  • Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems.
  • Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.
  • Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment.

Preferred Qualifications

  • Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence.
  • Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners.
  • Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams.
  • Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions.
  • A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$313,000—$330,500 USD

WA

$301,000—$317,500 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$287,000—$303,000 USD

All other states

$261,000—$275,500 USD

Read the full description
Engineer VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From

Leads engineering applications and turns artificial intelligence capabilities into production software products.

Exec Remote Posted 8 days ago Himalayas
What this role involves
VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home As the VP of Engineering Applications, you will turn intelligence into a real product.
Read the full description
Engineer Director of Engineering, Enterprise Product

Leads engineering teams and technology delivery for SeatGeek’s enterprise product organization.

Exec Posted 10 days ago Jobicy AI
What this role involves
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. Reporting to the VP of Engineering,...
Read the full description
Engineer Hands on CTO & Co-founder

Leads the company’s technical direction as a hands-on CTO and co-founder while building and overseeing software systems.

Exec Posted 10 days ago Himalayas
What this role involves
Our technical lead is way more than a skilled programmer.
Read the full description
Engineer Director of Engineering, Artificial Intelligence (AI) at Egen

Leads AI engineering teams, develops operational frameworks, and advises clients on AI systems, governance, agentic deployments, and cloud architecture.

Exec Posted 11 days ago RemoteFirstJobs Product
What this role involves

About Egen

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

Meet Egen

Life at Egen

Culture and Values at Egen

Career Development at Egen

Benefits at Egen

About the opportunity

We are seeking a high-impact Director of Engineering to spearhead a vital span of our AI Practice during a period of explosive growth. This is a dynamic player-coach role for a strategic engineering leader who excels at cultivating managerial talent and developing high-performing teams while staying directly engaged in transformative client delivery.

Our AI Practice comprises roughly 78 top-tier engineers across North America, Europe, and India, delivering cutting-edge AI and machine learning solutions for global enterprise clients in healthcare, life sciences, hospitality, the public sector, and industrial markets. We don’t just build proofs of concept—we architect and deploy robust, mission-critical production systems.

Role Overview

As our first dedicated engineering leader in this role, you will take full ownership of a team of roughly twenty engineers—shaping team structure, staffing engagements, and fostering accelerated professional growth. Beyond leading your span, you will partner with the AI Practice Lead to architect and refine practice-wide operational frameworks for hiring, onboarding, and continuous engineering enablement.

Reporting directly to the AI Practice Lead, you will work side-by-side with practice leadership, particularly during your initial two quarters. Approximately 50% of your role will be billable client engagement, positioning you as a high-value fractional advisor and platform leader across critical technical domains: AI SDLC, AI governance, agentic deployments, and cloud platform/pipeline architecture.

This position is tailored for a battle-tested leader with a proven track record of managing managers and engineering leaders. You have built and scaled the operational machinery that powers high-performing engineering organizations—and can showcase tangible, measurable outcomes from organizations that flourished under your design.

What You’ll Do:

  • Span Leadership and People Management

  • Practice Machinery: Hiring, Onboarding, and Enablement

  • Hands-on Delivery and Client Engagement

Span Leadership and People Management

  • Empower and lead a dedicated span of roughly twenty world-class engineers.

  • Drive performance management, professional growth, career paths, and promotion pathways for everyone in your span in close alignment with the practice lead.

  • Serve as the primary leadership point of escalation for engineering challenges within your span.

  • Direct team staffing strategy in partnership with Resource Management and the practice lead, seamlessly matching engineering talent to high-impact engagements.

  • Oversee contractor operations to ensure smooth onboarding, strategic contract extensions, and healthy engagement delivery.

  • Mentor and coach team leads through crucial career conversations, performance coaching, and complex staffing decisions.

Practice Machinery: Hiring, Onboarding and Enablement

  • Spearhead the practice-wide hiring engine in collaboration with the practice lead: optimize interview panels, calibrate interviewer standards, expand capacity, prioritize top candidates, and elevate our partnership with Talent Acquisition.

  • Champion the entire career progression pipeline from onboarding to senior technical leader—refining mentorship, management enablement, and performance review cycles on top of existing practice frameworks.

  • Lead the practice’s internal accelerator program alongside the practice lead, defining production-ready client standards, driving practice-wide adoption, and curating internal assets.

Hands-on Delivery and Client Engagement

  • Maintain an active billable portfolio (~50% focus) across strategic, fractional advisory and platform consulting roles spread intentionally across key client accounts.

  • Provide overarching technical leadership on AI SDLC initiatives—guiding client leadership in adopting modern AI tooling, setting standards of excellence, and measuring ROI.

  • Drive robust AI governance solutions within highly regulated industries, establishing comprehensive evaluation frameworks, observability platforms, audit trails, and production safety controls.

  • Architect enterprise platform and pipeline deployments, including agentic AI frameworks, automated promotion pipelines, and the operational infrastructure supporting them.

  • Serve as a trusted executive advisor to client engineering leaders, delivering expert guidance and constructively challenging technical approaches when needed.

What We’re Looking For (Basic Qualifications)

  • 12+ years of progressive engineering experience, including significant leadership experience guiding full engineering organizations rather than single development teams.

  • Demonstrated experience managing engineering leaders and managers, with a track record of scaling teams and organizational structures effectively.

  • Proven ability to build high-functioning organizational infrastructure—recruiting engines, onboarding programs, engineering standards, and career pathways—with measurable outcomes.

  • Deep technical strength in platform, pipeline, and infrastructure architecture required to command respect and direct technical strategy in executive client settings.

  • Hands-on expertise deploying production AI/ML systems, with primary focus on platform architecture, MLOps/LLMOps pipelines, governance, and operational resilience over pure model research.

  • Deep Google Cloud Platform (GCP) experience, or the proven technical agility to master our GCP-centric delivery stack rapidly.

  • Sharp consulting acumen: adept at managing ambiguity, navigating client-facing dynamics, leading concurrent engagements, and balancing business drivers.

Preferred Qualifications

  • Professional services experience preferred.

  • Collaborative mindset and comfort partnering closely with practice leadership during a transitional quarter as operational authority shifts.

  • Exceptional communication and executive presence, with the ability to influence C-suite client stakeholders and internal executive leadership alike.

$218,000 - $265,000 a year

This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate’s experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.

Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.

Compensation & Benefits:

This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

- Comprehensive Health Insurance

- Paid Leave (Vacation/PTO)

- Paid Holidays

- Sick Leave

- Parental Leave

- Bereavement Leave

- 401 (k) Employer Match

- Employee Referral Bonuses

Check out our complete list of benefits here - >https://egen.ai/people/#benefits

Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.

EEO and Accommodations:

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Read the full description
Engineer Director of IT Engineering

Leads IT engineering strategy, teams, and delivery for an identity-assured transaction management platform.

Exec Posted 11 days ago Himalayas
What this role involves
Proof is the world's first identity-assured transaction management platform and we are on a mission to digitize trust for all of life’s most critical transactions.
Read the full description
Engineer Director, IT

Leads the company's IT organization, overseeing technology infrastructure, systems, security, and internal IT operations.

Exec Posted 11 days ago Jobicy AI
What this role involves
About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the...
Read the full description
Engineer Sr. Director of Software Engineering at Denmark in USA

Senior Director leads engineering teams across HR product portfolio, driving AI-native development and establishing technical standards while managing cross-functional alignment and execution.

Exec Hybrid Posted 12 days ago RemoteFirstJobs Product
What this role involves

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

At BambooHR, the employee journey begins with hiring and continues through onboarding, performance, compensation, benefits, development and learning, rewards and recognition, and community. As Senior Director of Software Engineering, you will own engineering across this portfolio and transform these experiences into a coherent employee journey powered by applied AI. You will play a central role in realizing the full vision of Bamboo AI while delivering secure, reliable products that help people do great work. You will model BambooHR’s values and build a culture of ownership, learning, collaboration, and accountability.

You will:

  • Own the engineering outcomes for the employee journey across multiple teams, proactively identifying the most important problems and building the path to solve them.
  • Align Product, Technology, Customer Experience, and go-to-market leaders around a unified employee-journey strategy. Communicate tradeoffs, decisions, priorities, and risks clearly enough that teams and executives can act.
  • Lead AI-native product development across the employee journey, turning customer problems into applied-AI experiences with measurable value.
  • Transform how engineering teams build by establishing agentic practices that improve speed, quality, and learning.
  • Turn decisions into reliable execution by establishing operating mechanisms, surfacing risk early, resolving cross-team dependencies, and staying with the work until it produces measurable results.
  • Build a results-oriented leadership team of engineering managers and senior technical leaders, with clear accountability, strong judgment, and succession depth.
  • Set the technical bar for architecture, quality, reliability, security, privacy, and technical health across the portfolio, making the tradeoffs required to modernize while continuing to deliver.

What You Need to Get the Job Done

  • 15+ years of experience in software development and engineering leadership, including 5+ years in a Director-level or comparable leader-of-leaders role across multiple SaaS product teams.
  • A demonstrated record of independently spotting important, ambiguous problems and owning measurable outcomes across organizational boundaries.
  • Exceptional product and business judgment, including the ability to work backward from customer outcomes, make company-level tradeoffs, and decide what not to pursue.
  • Fluency using AI in your own leadership work, with experience guiding engineering teams through an agentic transformation and sound judgment about where human review remains essential.
  • Experience leading AI-native products from problem selection through production, with measurable customer value.
  • Strong execution discipline, including turning strategy into priorities, owners, operating mechanisms, metrics, and reliable delivery.
  • A record of developing results-oriented engineering managers and senior technical leaders who increased their judgment, scope, and organizational impact, while building leadership depth and succession coverage.
  • Strong architectural and technical depth, with experience modernizing and operating secure, reliable SaaS systems at scale.
  • Exceptional cross-functional and executive communication, with a record of aligning Product, Technology, Customer Experience, and go-to-market leaders around shared outcomes.
  • A bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

What Will Make Us REALLY Love You

  • Experience in HR technology or adjacent employee-experience domains, especially benefits administration or payroll, including unifying fragmented product areas into a coherent customer journey.
  • Experience building SaaS products for small and medium-sized businesses.

What You’ll Love About Us

  • List Benefits found on Boilerplate SOP

About Us

At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Read the full description
Engineer Sr. Director of Software Engineering at Denmark in USA

Senior Director of Software Engineering leads engineering teams across an HR product portfolio, driving AI-native product development and establishing engineering excellence standards.

Exec Hybrid Posted 12 days ago RemoteFirstJobs Product
What this role involves

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

At BambooHR, the employee journey begins with hiring and continues through onboarding, performance, compensation, benefits, development and learning, rewards and recognition, and community. As Senior Director of Software Engineering, you will own engineering across this portfolio and transform these experiences into a coherent employee journey powered by applied AI. You will play a central role in realizing the full vision of Bamboo AI while delivering secure, reliable products that help people do great work. You will model BambooHR’s values and build a culture of ownership, learning, collaboration, and accountability.

You will:

  • Own the engineering outcomes for the employee journey across multiple teams, proactively identifying the most important problems and building the path to solve them.
  • Align Product, Technology, Customer Experience, and go-to-market leaders around a unified employee-journey strategy. Communicate tradeoffs, decisions, priorities, and risks clearly enough that teams and executives can act.
  • Lead AI-native product development across the employee journey, turning customer problems into applied-AI experiences with measurable value.
  • Transform how engineering teams build by establishing agentic practices that improve speed, quality, and learning.
  • Turn decisions into reliable execution by establishing operating mechanisms, surfacing risk early, resolving cross-team dependencies, and staying with the work until it produces measurable results.
  • Build a results-oriented leadership team of engineering managers and senior technical leaders, with clear accountability, strong judgment, and succession depth.
  • Set the technical bar for architecture, quality, reliability, security, privacy, and technical health across the portfolio, making the tradeoffs required to modernize while continuing to deliver.

What You Need to Get the Job Done

  • 15+ years of experience in software development and engineering leadership, including 5+ years in a Director-level or comparable leader-of-leaders role across multiple SaaS product teams.
  • A demonstrated record of independently spotting important, ambiguous problems and owning measurable outcomes across organizational boundaries.
  • Exceptional product and business judgment, including the ability to work backward from customer outcomes, make company-level tradeoffs, and decide what not to pursue.
  • Fluency using AI in your own leadership work, with experience guiding engineering teams through an agentic transformation and sound judgment about where human review remains essential.
  • Experience leading AI-native products from problem selection through production, with measurable customer value.
  • Strong execution discipline, including turning strategy into priorities, owners, operating mechanisms, metrics, and reliable delivery.
  • A record of developing results-oriented engineering managers and senior technical leaders who increased their judgment, scope, and organizational impact, while building leadership depth and succession coverage.
  • Strong architectural and technical depth, with experience modernizing and operating secure, reliable SaaS systems at scale.
  • Exceptional cross-functional and executive communication, with a record of aligning Product, Technology, Customer Experience, and go-to-market leaders around shared outcomes.
  • A bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

What Will Make Us REALLY Love You

  • Experience in HR technology or adjacent employee-experience domains, especially benefits administration or payroll, including unifying fragmented product areas into a coherent customer journey.
  • Experience building SaaS products for small and medium-sized businesses.

What You’ll Love About Us

  • List Benefits found on Boilerplate SOP

About Us

At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Read the full description
Engineer Legion: Chief Architect

Chief Architect leads technical strategy and hands-on system design across AI, distributed systems, and platform architecture for a workforce management platform.

Exec Remote Posted 14 days ago We Work Remotely — Programming
What this role involves

Headquarters: Remote, United States

Chief Architect

Remote - US

Legion Technologies is building the AI-powered operating system for the hourly workforce. We are hiring a Chief Architect to serve as Legion’s most senior hands-on technical leader and to shape the technical foundation that will power the next decade of product innovation.

This is not a strategy-only or advisory role. The Chief Architect must live close to the code, go deep with engineering teams, challenge assumptions, write and review technical designs, make high-consequence architecture decisions, and help turn bold product ambitions into scalable, reliable production systems.

This person will own architecture and technical decision-making for the most complex parts of Legion’s Workforce Management platform, including AI, optimization, forecasting, scheduling, distributed systems, data platforms, real-time decisioning, enterprise scalability, security, compliance, and developer productivity.

The ideal candidate has built and scaled mission-critical software used by large enterprise customers, has deep technical credibility with senior engineers, and can operate fluidly between code-level decisions and long-term platform strategy. They are pragmatic, decisive, opinionated, and comfortable making hard tradeoffs when simplicity, scalability, reliability, or customer trust require it.

This role reports to the Head of Product, Engineering, and Support. This is an open role currently being filled on an interim basis by the CEO.

Responsibilities and Duties

Hands-On Architecture and Technical Decision-Making

Serve as Legion’s senior-most hands-on technical authority for complex architecture, system design, and platform evolution.

  • Personally dive into code, design documents, production incidents, performance bottlenecks, and implementation tradeoffs to diagnose root causes and guide technical direction.
  • Lead the hardest technical decisions across AI systems, optimization engines, distributed systems, data architecture, reliability, scalability, security, and platform modernization.
  • Write prototypes, reference implementations, architecture decision records, technical specifications, and design patterns where needed to unblock teams and establish clear direction.
  • Make high-consequence technical decisions with incomplete information, balancing correctness, simplicity, speed, scalability, reliability, cost, and long-term maintainability.
  • Challenge architectural drift, unnecessary complexity, weak abstractions, and short-term decisions that create long-term platform risk.
  • Partner directly with Staff, Principal, and senior engineering leaders in design reviews, code-level discussions, and implementation planning.

Platform Architecture and Technical Vision

  • Define and own the long-term architecture for Legion’s AI-driven Workforce Management platform across application services, data infrastructure, ML systems, optimization engines, APIs, integration architecture, developer platforms, and enterprise-scale operations.
  • Establish engineering-wide standards for system design, scalability, performance, reliability, extensibility, observability, security, and maintainability.
  • Serve as the final architectural authority for major platform initiatives and technical decisions with long-term consequences.
  • Identify opportunities to reduce complexity, improve system efficiency, accelerate engineering velocity, and unlock new product capabilities.
  • Proactively surface technical debt, architectural risk, and platform constraints before they compound into customer, product, or engineering velocity issues.
  • Create pragmatic migration paths from current-state architecture to target-state architecture while maintaining uptime, customer trust, backward compatibility, and delivery speed.
  • Ensure Legion’s architecture supports enterprise configurability and extensibility without allowing uncontrolled customization or product fragmentation.

AI, Optimization, and Decision Systems

  • Architect AI-native product capabilities across forecasting, scheduling, labor optimization, recommendations, copilots or agents, anomaly detection, decision automation, and other intelligent workforce management use cases.
  • Define the architecture for production AI systems, including data pipelines, feature platforms, model training, model serving, retrieval, evaluation, monitoring, feedback loops, and continuous improvement.
  • Make clear build-versus-buy decisions across LLMs, classical ML, optimization solvers, retrieval systems, evaluation frameworks, and internal AI platforms.
  • Partner closely with Product, Data Science, and Engineering to turn mathematically complex labor optimization problems into reliable, scalable, explainable production systems.
  • Establish standards for AI system quality, including accuracy, latency, cost, explainability, drift detection, reliability, customer-specific behavior, and production observability.
  • Ensure Legion’s AI capabilities remain differentiated, defensible, enterprise-ready, and deeply integrated into operational workflows rather than bolted on as superficial features.

Distributed Systems, Data, and Enterprise Scale

  • Drive architecture for large-scale, multi-tenant SaaS systems serving complex enterprise customers with high availability, performance, security, and compliance expectations.
  • Lead technical decisions involving microservices, APIs, event-driven architecture, distributed data processing, real-time systems, data governance, and large-scale analytics.
  • Improve the architecture for observability, incident analysis, performance engineering, capacity planning, reliability, and operational excellence.
  • Use production data, incidents, escalations, and customer operational patterns as inputs into architecture and platform improvement.
  • Ensure architectural decisions support global scale, data residency, enterprise integrations, configurability, extensibility, and long-term platform leverage.

Product, Business, and Customer Impact

  • Connect technical decisions directly to customer value, product velocity, implementation speed, scalability, reliability, and long-term platform advantage.
  • Partner with Product and Engineering leadership to translate ambitious product goals into executable architecture and technical roadmaps.
  • Understand enterprise customer complexity and design systems that support real-world operational variability without creating unsustainable technical debt.
  • Support strategic customer, partner, and vendor architecture discussions where deep technical credibility is required.
  • Help evaluate technical implications of major product, partner, platform, and commercial decisions.

Engineering Culture and Technical Talent

  • Mentor and elevate Staff Engineers, Principal Engineers, architects, and senior engineering leaders across the organization.
  • Raise the bar for technical judgment, system design, architecture reviews, documentation, code quality, operational discipline, and engineering craftsmanship.
  • Help assess, attract, and develop senior technical talent, including Staff, Principal, and architect-level engineers.
  • Build a culture of disciplined technical thinking, direct debate, clear decision-making, and pragmatic execution.
  • Ensure architectural decisions are documented clearly, understood broadly, and translated into executable engineering plans.

Security, Compliance, and Enterprise Readiness

  • Own the architectural approach to enterprise security, data governance, privacy, compliance, auditability, and resilience.
  • Ensure architecture supports SOC 2, ISO 27001, data residency, access control, tenant isolation, regulatory requirements, and other needs of large global enterprise customers.
  • Partner with Security, Infrastructure, Product, and Engineering teams to make security and compliance foundational architectural properties rather than after-the-fact controls.

Travel Requirements

  • Up to 15% travel for leadership collaboration, engineering offsites, strategic customer engagements, and other business-critical meetings.

Required Skills and Qualifications

Experience Level

15+ years of experience building and scaling large-scale software systems.Prior experience as a Chief Architect, Distinguished Engineer, Principal Architect, very senior Principal Engineer, or equivalent senior technical leadership role.

  • Demonstrated success designing and scaling mission-critical, multi-tenant SaaS platforms for enterprise customers.
  • Deep hands-on experience with large-scale distributed systems, cloud-native architecture, data platforms, APIs, event-driven systems, platform engineering, and high-availability production environments.
  • Proven ability to operate as a hands-on technical leader who can credibly engage in code-level and design-level discussions with senior engineers.
  • Experience making major architecture decisions for systems with high scale, high reliability requirements, complex domain logic, and long product lifecycles.
  • Experience modernizing large production systems incrementally while maintaining uptime, backward compatibility, customer trust, and engineering velocity.
  • Experience building or supporting AI, ML, optimization, decisioning, forecasting, or data-intensive products in production.
  • Strong understanding of observability, incident response, performance engineering, reliability architecture, capacity planning, and operational excellence.
  • Ability to communicate complex technical concepts clearly to engineering teams, executives, customers, and cross-functional partners.

Technical Depth

  • Deep expertise in distributed systems, system design, cloud architecture, service-oriented or microservices architectures, APIs, event-driven systems, and large-scale data processing.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong experience with modern engineering practices, including architecture reviews, design documents, code reviews, testing strategy, deployment architecture, observability, and production operations.
  • Experience with languages such as Java, Kotlin, Go, Python, Scala, or similar modern backend languages.
  • Ability to reason deeply about tradeoffs involving performance, latency, throughput, cost, reliability, developer productivity, extensibility, and maintainability.

Leadership and Judgment

  • Strong architectural judgment: knows when to simplify, when to re-platform, when to tolerate debt, and when to force a hard technical reset.
  • Demonstrated ability to make bold technical decisions with incomplete information and drive alignment across senior technical and executive stakeholders.
  • Ability to influence without relying on hierarchy, while still being willing to make clear decisions when consensus is insufficient.
  • Strong product and business judgment; able to connect architecture decisions to customer outcomes, implementation speed, product differentiation, and company strategy.
  • Pragmatic builder mindset: balances long-term architecture with startup speed, customer urgency, and execution realities.

Preferred Qualifications and Attributes

  • Experience building platforms used by millions of users or supporting very large-scale enterprise operations.
  • Experience at companies known for large-scale distributed systems, AI, cloud infrastructure, enterprise SaaS, workforce management, supply chain, fintech, commerce, logistics, or other complex operational domains.
  • Familiarity with optimization engines, scheduling algorithms, forecasting systems, constraint solvers, real-time decision systems, or mathematically complex production systems.
  • Experience architecting AI-native product capabilities, including LLM-enabled workflows, AI agents or copilots, model evaluation, retrieval systems, feedback loops, and production monitoring.
  • Experience building internal developer platforms, platform infrastructure, data platforms, ML pipelines, or large-scale analytics systems.
  • Experience designing highly configurable enterprise platforms without creating unbounded customization or implementation complexity.
  • Experience participating in strategic customer architecture reviews or technical due diligence with large enterprise customers.
  • Bachelor’s or Master’s degree in Computer Science or a related technical field; PhD a plus but not required.

Candidate Profile

The strongest candidate will be a deeply technical, hands-on architect who still has the range to shape company-level technical direction. They are not a generic enterprise architect, process owner, or strategy-only leader. They are a builder and technical decision-maker who can personally engage with Legion’s hardest problems and earn the respect of the strongest engineers in the company.

They should be comfortable moving between:

  • Code and architecture.
  • Product ambition and technical feasibility.
  • AI innovation and production reliability.
  • Startup speed and enterprise-grade rigor.
  • Long-term platform strategy and immediate technical execution.

They should be opinionated but not dogmatic, decisive but not reckless, and pragmatic without accepting mediocrity. They should be able to simplify complex systems, identify the real technical risks, and force clarity where teams are stuck in ambiguity.

Compensation and Benefits

Salary Range: Base Salary Range $300,000- $385,000 + Bonus + Stock Equity.

At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data.

Our posted salary range is done in good faith based on national data and may be refined for a candidate's region, town, or cost of living. We strive to make competitive offers that allow employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount budgeted internally, and internal equity for the same position within the company.

Benefits include, but are not limited to:

  • $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment.
  • 401k plan.
  • Discretionary Paid Time Off and Paid Holidays.
  • Parental Leave.
  • Equity.
  • Monthly Wellness Reimbursement.
  • Monthly Lunch on Legion.

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission.

Legion Technologies delivers the industry’s most innovative workforce management platform. It enables businesses to maximize labor efficiency and employee engagement simultaneously. The award-winning, AI-driven Legion WFM platform is intelligent, automated, and employee-centric. It’s proven to deliver 13x ROI through schedule optimization, reduced attrition, increased productivity, and increased operational efficiency. Legion delivers cutting-edge technology in an easy-to-use platform and mobile app that employees love. 

If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY 

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees.  Our team is comprised of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones.

For more information, visit https://legion.co 

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Legion recruiting email communications will always come from the @legion.co domain. Any outreach claiming to be from Legion via other sources should be ignored. If you are uncertain whether you have been contacted by an official Legion employee, reach out to recruiting@legion.co

 

Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.

How We Determine What We Pay

As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.

Job Applicant Privacy Policy

This Job Applicant Privacy Policy (“Policy”) describes how Legion Technologies, Inc. (“Legion”, “we”, “us” and “our”) collects, uses, and discloses “personal information” as defined under California law from and about job applicants who are residents of California.

This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role, the Legion Privacy Policy applies.

  1. Types of Personal Information We Handle

    We collect, store, and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity, such as an employment agency or consultancy, background check provider, or other referral sources. This information includes:

    • Identification and contact information, and related identifiers such as full name, date and place of birth, citizenship and permanent residence, home and business addresses, telephone numbers, email addresses, and such information about your beneficiaries or emergency contacts.
    • Professional or employment-related information, including:
      • Recruitment, employment, or engagement information such as application forms and information included in a resume, cover letter, or otherwise provided through any application or engagement process; and copies of identification documents, such as driver’s licenses, passports, and visas; and background screening results and references.
      • Career information such as job titles; work history; work dates and work locations; information about skills, qualifications, experience, publications, speaking engagements, and preferences; and professional memberships
    • Education Information such as institutions attended, degrees, certifications, training courses, publications, and transcript information.
    • Legally protected classification information such as race, sex/gender, religious/ philosophical beliefs, gender identity/expression, sexual orientation, marital status, military service, nationality, ethnicity, request for family care leave, political opinions, and criminal history.
    • Other information such as any information you voluntarily choose to provide in connection with your job application.
  2. How We Use Personal Information

    We collect, use, share, and store personal information from job applicants for our and our service providers’ business and operational purposes in the recruitment process such as: processing your application, tracking your application through the recruitment process, contacting references with your authorization, conducting background checks you authorize, and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes, such as in connection with any challenges made to our hiring decisions.

  3. With Whom We Share Personal Information

    We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable):

    • Internally: to other Legion personnel involved in the recruiting and hiring process.
    • Vendors: such as technology service providers, travel management providers, human resources suppliers, background check companies, and employment agencies or recruiters, where applicable.
    • Legal Compliance: when required to do so by law, regulation, or court order or in response to a request for assistance by the police or other law enforcement agency.
    • Litigation Purposes: to seek legal advice from our external lawyers or in connection with litigation with a third party.
    • Business Transaction Purposes: in connection with the sale, purchase, or merger.
  4. How to Contact Us About this Policy – If you have any questions about this Policy, please contact privacy@legion.co.

To apply: https://weworkremotely.com/remote-jobs/legion-chief-architect

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Engineer Head of Engineering at Trial Library

Leads engineering organization building AI-native healthcare platform, overseeing architecture, infrastructure, AI systems, and high-performing engineering teams.

Exec Posted 15 days ago RemoteFirstJobs Product
What this role involves

Trial Library is an AI-native research platform with a mission to improve healthcare outcomes by expanding access to precision medicine.

About Trial Library

Trial Library is an AI-native enrollment and care navigation platform that accelerates access to precision medicine. In collaboration with biopharmaceutical manufacturers, payers, and health systems, Trial Library enables the delivery of clinical trials as a standard care option - improving patient access, advancing oncology outcomes, and reducing the total cost of care. Backed by leading healthcare venture capital firms, Trial Library’s platform is currently deployed in 840+ clinics and 3,000+ providers nationwide.

Trial Library is seeking an experienced Head of Engineering to lead our engineering organization and build the next generation of our AI-native platform. You will lead Engineering and Infrastructure while partnering closely with Product to deliver secure, scalable, and high-performing software. This is a hands-on leadership role for an engineering leader who enjoys solving complex technical challenges, building production AI systems, and mentoring exceptional engineering teams in a fast-paced startup environment. You’ll help shape the technical direction of our platform while remaining deeply engaged in architecture, engineering execution, and technical decision-making.

Your Responsibilities:

  • Lead and scale Trial Library’s Engineering organization, fostering a collaborative and high-performing culture.

  • Partner with Product to translate business and customer needs into scalable technical solutions.

  • Own software architecture, engineering execution, platform reliability, and technical delivery.

  • Lead application engineering, AI engineering, infrastructure, DevSecOps, IT, and platform operations.

  • Design and build cloud-native systems supporting AI-powered products, including LLM applications, retrieval-augmented generation (RAG), AI agents, model evaluation, and production inference services.

  • Drive engineering excellence through modern software development practices, CI/CD, testing, observability, and operational excellence.

  • Build resilient, scalable infrastructure capable of supporting rapid product growth and evolving AI workloads.

  • Recruit, mentor, and develop high-performing engineering teams while creating an environment of continuous learning.

  • Partner cross-functionally with Clinical, Customer Success, Commercial, and Operations to deliver reliable customer experiences.

  • Ensure platform security, privacy, and compliance with HIPAA and SOC 2 requirements.

  • Balance engineering velocity with scalability, reliability, maintainability, and long-term technical health.

  • Stay current on emerging AI technologies and engineering best practices to continuously improve our platform.

Your Requirements:

  • 8+ years of progressive software engineering experience, including engineering leadership in startup or high-growth environments.

  • Experience leading engineering teams responsible for building and scaling SaaS platforms.

  • Strong technical background in distributed systems, cloud-native architecture, APIs, and modern software engineering practices.

  • Experience building and operating production AI systems using large language models (LLMs), retrieval-augmented generation (RAG), AI agents, machine learning infrastructure, or related technologies.

  • Experience designing scalable cloud infrastructure on AWS, GCP, or Azure, including Kubernetes, CI/CD, infrastructure automation, and observability.

  • Demonstrated success recruiting, mentoring, and growing high-performing engineering teams.

  • Ability to balance rapid product delivery with platform reliability, security, and long-term maintainability.

  • Excellent communication skills with the ability to collaborate across departments

  • Experience within healthcare, life sciences, clinical research, or another regulated industry is preferred.

  • Familiarity with FHIR, HL7, HIPAA, and SOC 2 is a plus.

$228,000 - $285,000 a year

Compensation & On-Site Requirement

This is a hybrid role based in San Francisco, CA, with a requirement of three days per week in the office (Wednesday, Thursday, & Friday). The salary range for this position is $228,000–$285,000 per year, plus performance incentives and equity, and reflects a good faith estimate of base pay for candidates working in this location. Final compensation will be based on experience, skills, qualifications, and network depth relevant to the role.

Why Trial Library

  • Meaningful impact — helping patients access clinical trials faster through better technology and workflows
  • High ownership environment — autonomy to build, test, and influence strategy across the business
  • Collaborative team culture — low ego, high trust, and close partnership across functions
  • Opportunity for growth — join at an early stage with meaningful exposure to company-building and decision-making

Our Core Values

  • Ally is our favorite moniker
  • The broadest reach is worth the effort
  • Celebrate measurable improvements in access and  outcomes
  • Fearless advocates for representation in research
  • Incentives matter to stakeholders choosing our products
  • Taking initiative is actually giving
  • We are accountable for the experience of patients and providers
  • Empathy and humility are the real dynamic duo

Our Benefits & Perks

  • Health & Wellness: Comprehensive medical, dental, and vision coverage for employees and eligible dependents, along with disability, life, and supplemental insurance options designed to support your overall well-being.
  • Time Off & Workplace Support: Flexible paid time off, observed company holidays, and a one-time home office stipend to help you create a productive and comfortable remote workspace within our hybrid environment.
  • Financial & Lifestyle Benefits:401(k) program, pre-tax HSA and FSA options, commuter benefits, financial wellness resources, and access to legal protection plans to support both short- and long-term planning.
  • Additional Support & Voluntary Benefits: Access to voluntary benefit offerings including pet wellness support, domestic partner coverage, and additional programs that support the diverse needs of our team members and their families.

Our Interview Process

Our interview process typically includes four stages, followed by reference checks and an offer. Depending on the role, particularly for technical or senior positions, the process may vary slightly and can include a technical assessment, case study, presentation, practical exercise, additional interview conversations, or conversations with members of our leadership team and investors.

Trial Library, Inc. is an equal opportunity employer committed to building an inclusive workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any kind without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran status, military status, medical condition, family or medical leave status, political affiliation, or any other characteristic protected by applicable federal, state, or local law.

Trial Library, Inc. is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the recruiting process. If you require assistance or accommodation, please contact [email protected]

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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