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Owns the strategy, experiments, conversion metrics, and outcomes for Multiverse’s AI-enabled learner prescription product.
Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.
Join Multiverse and power our mission to equip the workforce to win in the AI era.
We are at an inflection point in our journey. Our platform now serves tens of thousands of learners, demand for AI skills is accelerating, and we are investing seriously in the product and technology that will take us to the next stage of scale. This is a role for someone who wants to build the product that gets more people into transformative learning, and upskill people with critical data and AI skills faster.
We are looking for a Lead Product Manager to own Prescribe: the product that helps a prospective learner find the right programme for their skills and their employer’s goals, then takes them to a confident commitment and a successful start. You will be the strategic counterpart to a Senior Engineering Manager, working alongside design and data, and closely with our go-to-market and fulfilment teams.
Growth at Multiverse means getting more people from first interest to a confident start, and it is a product problem, not a marketing problem. You will own the conversion metrics, set the strategy, run the experiments, and drive the outcomes. AI will drive much of the improvement, and you will decide where it helps.
As a Lead, you will work regularly with the most senior leaders across the company. You will report to the Single Threaded Leader for Diagnose & Prescribe and will not manage other product managers. The role is based in London, hybrid, three days a week in the office.
AI-native product experiences
Shape new conversational, AI-first experiences that help learners and customers understand the best programme for their skills and career development.
Decide where AI genuinely improves a match and where it only adds noise, and build the evaluation and guardrails that keep it trustworthy in front of real users.
Turn learner and customer behaviour into product direction.
Prescription and eligibility
Own the logic that connects a learner’s skills to a programme and to a customer’s levy funding, where mistakes carry a real financial and regulatory cost.
Work with Legal, Compliance and Fulfilment to make eligibility and compliance rules configurable and explainable, so business owners can change them without a rebuild.
Make every recommendation something a learner and a customer can understand and challenge.
Recommendation, commitment and finalisation
Own the journey from recommendation to a learner committing and starting.
Identify high-leverage drop-off points and own the experimentation roadmap.
Design product interventions that adapt to learner needs and behaviour and shorten the time to a confident start.
Collaborate with GTM, Operations and Data teams to improve attribution and the quality of what enters the funnel.
Metrics and experimentation
Own conversion from prospect to committed learner, with retention and programme fit as the guardrails.
Champion a culture of hypothesis-led, structured experimentation.
Cross-functional Leadership
Co-own the strategy and roadmap with your Senior Engineering Manager, with disagreement surfaced early and alignment as your shared deliverable.
Involve GTM, Fulfilment and Support before changes ship. They run what we build, so know their biggest pain points.
Author the narratives the group needs, from the press release and FAQ (PRFAQ) for your area to the sales-facing briefing for a launch.
Represent Prescribe in roadmap conversations with senior leadership.
The best candidates will have owned a growth-critical product before, ideally in a B2B or ideally a B2B2C context. You should have hands-on experience shipping AI-powered features and the ability to navigate complexity without losing sight of the learner.
Must-have experience:
Substantial experience as a PM with a track record of improving measurable growth metrics (acquisition, activation, retention, automation).
Confidence with data: pulling analysis, running cohort studies, and building dashboards.
Experience designing and running rigorous A/B and multivariate experiments.
Strong instincts for user experience and a focus on sustainable long-term strategies.
Ability to build alignment across cross-functional teams without formal authority, including with commercial, GTM and operations counterparts.
Hands-on experience building products using AI/LLMs to generate or personalise content.
AI Builder mindset with experience of using AI as your engine to drive repeatable and automated systems, processes and artefacts that create step changes in performance and efficiencies.
Strong signals we look for:
Familiarity with product-led growth (PLG) in a B2B context.
Experience designing personalisation systems, including data models and trigger logic.
Previous work in a company that has scaled from hundreds to thousands of users.
A point of view on where AI genuinely improves outcomes versus creating noise.
A bonus if you’ve done this in a regulated environment, such as funding, eligibility or compliance-heavy products. Knowledge of UK apprenticeships and the levy is an additional plus.
How you work:
Solve for Customer Value: You’re direct about data, even when it challenges existing priorities.
Drivers, Not Passengers: You think in systems, take completion seriously, and raise bad news as quickly as good.
Be Decisive, Even in Ambiguity: You’re comfortable with ambiguity and define structure in new spaces.
AI to Deliver Outcomes: You have a bias for action (ship, measure, iterate) and ask “how would AI help do this?” before scoping the work.
Not for you if:
This role won’t fit if you’d rather write specs than stay close to the data, the design, and the customer. It also won’t fit if you see AI as a productivity tweak rather than a step change in how a product team works. And it needs someone who renegotiates scope out loud when it’s wrong, not someone who absorbs it and hopes it works out.
The opportunity to work on a product that genuinely changes economic trajectories.
A team that takes craft seriously and holds a high bar.
Direct access to senior leadership and meaningful influence over product direction.
A place in a company rebuilding itself as product-powered and AI-native, where you help define the result rather than inherit it.
Benefits
Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme- you’ll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Owns strategy, conversion metrics, experiments, and AI-enabled improvements for Multiverse’s learner programme recommendation and onboarding product.
Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.
Join Multiverse and power our mission to equip the workforce to win in the AI era.
We are at an inflection point in our journey. Our platform now serves tens of thousands of learners, demand for AI skills is accelerating, and we are investing seriously in the product and technology that will take us to the next stage of scale. This is a role for someone who wants to build the product that gets more people into transformative learning, and upskill people with critical data and AI skills faster.
We are looking for a Lead Product Manager to own Prescribe: the product that helps a prospective learner find the right programme for their skills and their employer’s goals, then takes them to a confident commitment and a successful start. You will be the strategic counterpart to a Senior Engineering Manager, working alongside design and data, and closely with our go-to-market and fulfilment teams.
Growth at Multiverse means getting more people from first interest to a confident start, and it is a product problem, not a marketing problem. You will own the conversion metrics, set the strategy, run the experiments, and drive the outcomes. AI will drive much of the improvement, and you will decide where it helps.
As a Lead, you will work regularly with the most senior leaders across the company. You will report to the Single Threaded Leader for Diagnose & Prescribe and will not manage other product managers. The role is based in London, hybrid, three days a week in the office.
AI-native product experiences
Shape new conversational, AI-first experiences that help learners and customers understand the best programme for their skills and career development.
Decide where AI genuinely improves a match and where it only adds noise, and build the evaluation and guardrails that keep it trustworthy in front of real users.
Turn learner and customer behaviour into product direction.
Prescription and eligibility
Own the logic that connects a learner’s skills to a programme and to a customer’s levy funding, where mistakes carry a real financial and regulatory cost.
Work with Legal, Compliance and Fulfilment to make eligibility and compliance rules configurable and explainable, so business owners can change them without a rebuild.
Make every recommendation something a learner and a customer can understand and challenge.
Recommendation, commitment and finalisation
Own the journey from recommendation to a learner committing and starting.
Identify high-leverage drop-off points and own the experimentation roadmap.
Design product interventions that adapt to learner needs and behaviour and shorten the time to a confident start.
Collaborate with GTM, Operations and Data teams to improve attribution and the quality of what enters the funnel.
Metrics and experimentation
Own conversion from prospect to committed learner, with retention and programme fit as the guardrails.
Champion a culture of hypothesis-led, structured experimentation.
Cross-functional Leadership
Co-own the strategy and roadmap with your Senior Engineering Manager, with disagreement surfaced early and alignment as your shared deliverable.
Involve GTM, Fulfilment and Support before changes ship. They run what we build, so know their biggest pain points.
Author the narratives the group needs, from the press release and FAQ (PRFAQ) for your area to the sales-facing briefing for a launch.
Represent Prescribe in roadmap conversations with senior leadership.
The best candidates will have owned a growth-critical product before, ideally in a B2B or ideally a B2B2C context. You should have hands-on experience shipping AI-powered features and the ability to navigate complexity without losing sight of the learner.
Must-have experience:
Substantial experience as a PM with a track record of improving measurable growth metrics (acquisition, activation, retention, automation).
Confidence with data: pulling analysis, running cohort studies, and building dashboards.
Experience designing and running rigorous A/B and multivariate experiments.
Strong instincts for user experience and a focus on sustainable long-term strategies.
Ability to build alignment across cross-functional teams without formal authority, including with commercial, GTM and operations counterparts.
Hands-on experience building products using AI/LLMs to generate or personalise content.
AI Builder mindset with experience of using AI as your engine to drive repeatable and automated systems, processes and artefacts that create step changes in performance and efficiencies.
Strong signals we look for:
Familiarity with product-led growth (PLG) in a B2B context.
Experience designing personalisation systems, including data models and trigger logic.
Previous work in a company that has scaled from hundreds to thousands of users.
A point of view on where AI genuinely improves outcomes versus creating noise.
A bonus if you’ve done this in a regulated environment, such as funding, eligibility or compliance-heavy products. Knowledge of UK apprenticeships and the levy is an additional plus.
How you work:
Solve for Customer Value: You’re direct about data, even when it challenges existing priorities.
Drivers, Not Passengers: You think in systems, take completion seriously, and raise bad news as quickly as good.
Be Decisive, Even in Ambiguity: You’re comfortable with ambiguity and define structure in new spaces.
AI to Deliver Outcomes: You have a bias for action (ship, measure, iterate) and ask “how would AI help do this?” before scoping the work.
Not for you if:
This role won’t fit if you’d rather write specs than stay close to the data, the design, and the customer. It also won’t fit if you see AI as a productivity tweak rather than a step change in how a product team works. And it needs someone who renegotiates scope out loud when it’s wrong, not someone who absorbs it and hopes it works out.
The opportunity to work on a product that genuinely changes economic trajectories.
A team that takes craft seriously and holds a high bar.
Direct access to senior leadership and meaningful influence over product direction.
A place in a company rebuilding itself as product-powered and AI-native, where you help define the result rather than inherit it.
Benefits
Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme- you’ll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Owns strategy, experiments, conversion metrics, and AI-driven improvements for Multiverse’s learner programme recommendation and onboarding product.
Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.
Join Multiverse and power our mission to equip the workforce to win in the AI era.
We are at an inflection point in our journey. Our platform now serves tens of thousands of learners, demand for AI skills is accelerating, and we are investing seriously in the product and technology that will take us to the next stage of scale. This is a role for someone who wants to build the product that gets more people into transformative learning, and upskill people with critical data and AI skills faster.
We are looking for a Lead Product Manager to own Prescribe: the product that helps a prospective learner find the right programme for their skills and their employer’s goals, then takes them to a confident commitment and a successful start. You will be the strategic counterpart to a Senior Engineering Manager, working alongside design and data, and closely with our go-to-market and fulfilment teams.
Growth at Multiverse means getting more people from first interest to a confident start, and it is a product problem, not a marketing problem. You will own the conversion metrics, set the strategy, run the experiments, and drive the outcomes. AI will drive much of the improvement, and you will decide where it helps.
As a Lead, you will work regularly with the most senior leaders across the company. You will report to the Single Threaded Leader for Diagnose & Prescribe and will not manage other product managers. The role is based in London, hybrid, three days a week in the office.
AI-native product experiences
Shape new conversational, AI-first experiences that help learners and customers understand the best programme for their skills and career development.
Decide where AI genuinely improves a match and where it only adds noise, and build the evaluation and guardrails that keep it trustworthy in front of real users.
Turn learner and customer behaviour into product direction.
Prescription and eligibility
Own the logic that connects a learner’s skills to a programme and to a customer’s levy funding, where mistakes carry a real financial and regulatory cost.
Work with Legal, Compliance and Fulfilment to make eligibility and compliance rules configurable and explainable, so business owners can change them without a rebuild.
Make every recommendation something a learner and a customer can understand and challenge.
Recommendation, commitment and finalisation
Own the journey from recommendation to a learner committing and starting.
Identify high-leverage drop-off points and own the experimentation roadmap.
Design product interventions that adapt to learner needs and behaviour and shorten the time to a confident start.
Collaborate with GTM, Operations and Data teams to improve attribution and the quality of what enters the funnel.
Metrics and experimentation
Own conversion from prospect to committed learner, with retention and programme fit as the guardrails.
Champion a culture of hypothesis-led, structured experimentation.
Cross-functional Leadership
Co-own the strategy and roadmap with your Senior Engineering Manager, with disagreement surfaced early and alignment as your shared deliverable.
Involve GTM, Fulfilment and Support before changes ship. They run what we build, so know their biggest pain points.
Author the narratives the group needs, from the press release and FAQ (PRFAQ) for your area to the sales-facing briefing for a launch.
Represent Prescribe in roadmap conversations with senior leadership.
The best candidates will have owned a growth-critical product before, ideally in a B2B or ideally a B2B2C context. You should have hands-on experience shipping AI-powered features and the ability to navigate complexity without losing sight of the learner.
Must-have experience:
Substantial experience as a PM with a track record of improving measurable growth metrics (acquisition, activation, retention, automation).
Confidence with data: pulling analysis, running cohort studies, and building dashboards.
Experience designing and running rigorous A/B and multivariate experiments.
Strong instincts for user experience and a focus on sustainable long-term strategies.
Ability to build alignment across cross-functional teams without formal authority, including with commercial, GTM and operations counterparts.
Hands-on experience building products using AI/LLMs to generate or personalise content.
AI Builder mindset with experience of using AI as your engine to drive repeatable and automated systems, processes and artefacts that create step changes in performance and efficiencies.
Strong signals we look for:
Familiarity with product-led growth (PLG) in a B2B context.
Experience designing personalisation systems, including data models and trigger logic.
Previous work in a company that has scaled from hundreds to thousands of users.
A point of view on where AI genuinely improves outcomes versus creating noise.
A bonus if you’ve done this in a regulated environment, such as funding, eligibility or compliance-heavy products. Knowledge of UK apprenticeships and the levy is an additional plus.
How you work:
Solve for Customer Value: You’re direct about data, even when it challenges existing priorities.
Drivers, Not Passengers: You think in systems, take completion seriously, and raise bad news as quickly as good.
Be Decisive, Even in Ambiguity: You’re comfortable with ambiguity and define structure in new spaces.
AI to Deliver Outcomes: You have a bias for action (ship, measure, iterate) and ask “how would AI help do this?” before scoping the work.
Not for you if:
This role won’t fit if you’d rather write specs than stay close to the data, the design, and the customer. It also won’t fit if you see AI as a productivity tweak rather than a step change in how a product team works. And it needs someone who renegotiates scope out loud when it’s wrong, not someone who absorbs it and hopes it works out.
The opportunity to work on a product that genuinely changes economic trajectories.
A team that takes craft seriously and holds a high bar.
Direct access to senior leadership and meaningful influence over product direction.
A place in a company rebuilding itself as product-powered and AI-native, where you help define the result rather than inherit it.
Benefits
Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme- you’ll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Owns the vision, roadmap, and user experience of Vercel’s developer dashboard and agent-powered platform controls.
Headquarters: Remote - United States
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to own the Vercel Dashboard, the control plane for every Vercel user, defining how developers and teams interact with Vercel from first login through daily use, across both individual accounts and enterprise organizations. You will lead the shift from what is a project listing page today to a personalized, agent-powered surface that proactively helps users ship and discover value. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.Â
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
To apply: https://weworkremotely.com/remote-jobs/vercel-product-manager-dashboard
Owns the vision, roadmap, workflows, quality standards, and customer adoption of an AI-powered software development automation product.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Software Factory, a new product area that puts AI agents on every stage of the development loop — triaging an issue, planning it, writing the code, and checking the result — while keeping people on the judgment calls. Human time and human attention has become the bottleneck, and the opportunity is to move towards automation of continuous software maintenance and improvement. You will define how agents help fix bugs, implement features, improve performance, mitigate security issues, improve code quality, and increase test coverage. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns the vision, roadmap, developer experience, pricing, and customer requirements for Vercel’s compute platform.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Vercel’s compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid is can deliver. This is a senior role with wide latitude: you’ll decide where that platform goes next.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns an HR technology product area, roadmap, requirements, prototypes, customer discovery, AI feature evaluation, and collaboration with engineering.
Location: Princeton, NJ (Hybrid, 3 days per week onsite)
Full-Time, Exempt
Join our AI-native talent and skills intelligence platform, helping organizations understand the skills their people have, the skills their business needs, and the path between the two.
We’re looking for a Product Manager, ideally with a background in HR tech, LMS, or talent platforms, to own a product area end to end and turn product vision into the specs, prototypes, and decisions that engineering builds from. This role has real scope from day one, including mentorship of associate product talent as the team grows.
If you’re an exceptional communicator, a structured thinker, and someone who already uses AI tools every day to produce better work faster, we’d love to meet you.
About the Role
This product is built within Infopro Learning, a global learning and talent solutions company, giving us access to enterprise customers from day one. It’s already in use by real customers, and we’re building rapidly as we help organizations make smarter talent, skills, learning, and workforce decisions through AI.
This role requires some overlap with our India-based team, typically in the Eastern Time morning.
What You’ll Do
Own the product roadmap for a defined area, turning customer feedback and business priorities into clear requirements, feature briefs, and product documentation
Partner closely with engineering leads on scope and tradeoffs, and direct the creation of wireframes, prototypes, and product artifacts using AI-powered tools
Build working prototypes with AI tools to validate ideas before engineering commits, and define the evaluation criteria that tell us whether an AI feature is working
Work daily with engineers to resolve ambiguity and keep delivery on track
Lead customer and user conversations, translating insights into prioritized product decisions
Maintain and evolve product documentation as priorities shift
Mentor associate product managers and help shape how the product team works
Build deep expertise in AI, skills intelligence, learning, and talent management
What We’re Looking For
5+ years of experience in Product Management, ideally at an HR tech, LMS, or talent platform company, with a track record of owning features or a product area end to end
Excellent written communication and the ability to simplify complex topics for both technical and non-technical audiences
Demonstrated experience gathering requirements from business stakeholders and translating them into prioritized, actionable plans
Strong product thinking and a structured, data-informed approach to problem-solving
Experience mentoring or supporting more junior product talent
Comfort working in a fast-moving environment where priorities shift and ownership is expected
Daily, hands-on use of AI tools, not as an occasional aid, but as a core part of how you think, write, and build
Authorization to work in the United States. We are unable to sponsor or take over sponsorship of employment visas for this role.
AI-Native Product Deliverables
Modern product work goes beyond traditional PRDs. In an AI-assisted world, product managers deliver spec documents that both engineers and AI coding tools build from, working prototypes that test ideas before engineering commits, and the prompts and evaluation criteria that define what “good” looks like for AI features.
Who Might Be a Great Fit?
You’ve spent several years around HR tech, LMS, or talent platforms, owning product decisions in a role such as product management, implementation, or customer success with product ownership. What matters most is your ability to think clearly, communicate effectively, drive ambiguous problems to resolution, and use AI to accelerate your work.
What You’ll Gain
Ownership of a product area within an AI-native platform, built from the ground up
Direct exposure to enterprise customers and high-visibility product decisions
Deep expertise in the talent, skills, and learning technology space
The opportunity to help shape the product team as it grows
Compensation and Benefits
Salary range: $85,000 to $120,000. Final compensation depends on experience and skill alignment.
Comprehensive benefits package including medical, dental, and vision insurance, a 401(k) retirement plan, and paid time off and holidays.
If you’re excited by AI, enjoy solving ambiguous problems, and want to lead product decisions on a fast-growing platform, we’d love to hear from you.
Infopro Learning is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. If you need a reasonable accommodation during the application process, please contact learningtalent@infoprolearning.com .
Owns the vision, roadmap, workflows, quality controls, and customer adoption of Vercel’s AI-powered Software Factory product.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Software Factory, a new product area that puts AI agents on every stage of the development loop — triaging an issue, planning it, writing the code, and checking the result — while keeping people on the judgment calls. Human time and human attention has become the bottleneck, and the opportunity is to move towards automation of continuous software maintenance and improvement. You will define how agents help fix bugs, implement features, improve performance, mitigate security issues, improve code quality, and increase test coverage. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns the vision, roadmap, workflows, quality standards, and customer adoption of an AI-powered software development automation product.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Software Factory, a new product area that puts AI agents on every stage of the development loop — triaging an issue, planning it, writing the code, and checking the result — while keeping people on the judgment calls. Human time and human attention has become the bottleneck, and the opportunity is to move towards automation of continuous software maintenance and improvement. You will define how agents help fix bugs, implement features, improve performance, mitigate security issues, improve code quality, and increase test coverage. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns the vision, roadmap, developer experience, pricing, and customer requirements for Vercel’s compute platform.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Vercel’s compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid is can deliver. This is a senior role with wide latitude: you’ll decide where that platform goes next.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns the vision, roadmap, pricing, and customer strategy for Vercel’s networking and CDN products.
Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Product Manager to join our Product team. You will own Vercel’s networking and CDN product areas. Networking includes the service mesh, Perimeter, VPC connectivity, and Microfrontends. CDN includes the caching layer, traffic security through WAF and DDoS mitigation, domains, and general ingress. You will set direction for how applications and services connect securely, how traffic enters Vercel, and how content is delivered quickly and reliably around the world. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you’re located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Owns growth, onboarding, activation, and AI-enabled product initiatives for Toast’s restaurant guest solutions.
Location(s): US (remote), Boston (hybrid), or New York (hybrid) -Â EST preferred
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
Toast IQ Grow is an all-in-one growth and lifecycle solution designed to help restaurants attract more guests, keep them coming back, and increase revenue without adding extra work for operators. Delivering this value involves a complex mix of product, systems, operations and more.
The IQ Grow Flex team owns the top of the Toast IQ Grow funnel - everything from sale close to first campaign. We’re building the AI-powered context, onboarding and activation layer that compresses time-to-value, captures restaurant context and removes human bottlenecks from the path to go-live.
This is a growth PM role. You’ll start deep in onboarding, but the mandate is broader: find the leverage points across Guest products where product investment can drive direct business impact at scale.
AI at Toast
At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-REMOTE
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
Zone A
$133,000—$213,000 USD
Zone B
$115,000—$184,000 USD
Zone C
$104,000—$166,000 USD
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region:Â https://careers.toasttab.com/locations-toast
People Are the Secret Ingredient in Our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Owns the vision, roadmap, backlog, governance, and cross-functional delivery of consumer-grade agentic AI commerce platforms.
👋🏼 We’re Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world, with 18,000+ experts across 39 countries. Our work culture is dynamic and non-hierarchical, empowering our people to take ownership, collaborate openly, and create meaningful impact.
Context & Mission
As the Senior Product Lead, you will own the product vision, roadmap, and delivery governance for the Beauty Conversations Factory. You will act as the key bridge between business stakeholders, product management, technology, and design teams to accelerate time-to-value for consumer-grade AI platforms.
Key Responsibilities
Hybrid working model based in Paris (2-3days/week on-site) with strong autonomy and a hands-on approach.
Owns discovery, requirements, and delivery for an AI-ready customer operations platform, improving workflows through automation and scalable product solutions.
At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.
We are looking for a Product Owner to join our team of around 1,700 people worldwide and help us shape the next generation of internal platforms supporting the traveller’s journey.
If you are passionate about building impactful internal tools, leveraging AI to improve operational workflows, and turning complex processes into simple, scalable solutions, keep on reading — you might be the perfect fit for this role.
The job in brief:
What your impact will be:
You will play a key role in shaping the technology that supports our customer care and operations teams. Your goal will be to build tools that simplify daily work, improve efficiency, and contribute to a smoother experience for our travellers.
You will join a dynamic environment where priorities can evolve, with a strong focus on shaping and delivering a new AI-ready back-office and customer operations platform.
This role requires strong ownership, structured thinking, and the ability to translate complex operational needs into clear, actionable product requirements. You will work closely with stakeholders, engineering teams, and internal users to deliver scalable solutions step by step.
What You Will Need to Solve:
Shape and deliver a new customer operations platform:
Drive AI and automation initiatives:
Shape product delivery and roadmap execution:
Enhance the customer operations ecosystem:
Collaborate with stakeholders and teams:
Your expertise:
Desirable:
Why join us:
Perks of working with us:
How we work together:
Wish you were here? We do, too!
Selection process steps*:
(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)
Our commitment to celebrate diversity and generate belonging:
At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.
Eligibility criteria:
By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.
Owns the vision, roadmap, backlog, governance, and cross-functional delivery of consumer-facing agentic AI commerce platforms.
👋🏼 We’re Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world, with 18,000+ experts across 39 countries. Our work culture is dynamic and non-hierarchical, empowering our people to take ownership, collaborate openly, and create meaningful impact.
Context & Mission
As the Senior Product Lead, you will own the product vision, roadmap, and delivery governance for the Beauty Conversations Factory. You will act as the key bridge between business stakeholders, product management, technology, and design teams to accelerate time-to-value for consumer-grade AI platforms.
Key Responsibilities
Hybrid working model based in Paris (2-3days/week on-site) with strong autonomy and a hands-on approach.
Shapes and delivers an AI-ready customer operations platform by defining requirements, improving workflows, and coordinating stakeholders and engineering teams.
At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.
We are looking for a Product Owner to join our team of around 1,700 people worldwide and help us shape the next generation of internal platforms supporting the traveller’s journey.
If you are passionate about building impactful internal tools, leveraging AI to improve operational workflows, and turning complex processes into simple, scalable solutions, keep on reading — you might be the perfect fit for this role.
The job in brief:
What your impact will be:
You will play a key role in shaping the technology that supports our customer care and operations teams. Your goal will be to build tools that simplify daily work, improve efficiency, and contribute to a smoother experience for our travellers.
You will join a dynamic environment where priorities can evolve, with a strong focus on shaping and delivering a new AI-ready back-office and customer operations platform.
This role requires strong ownership, structured thinking, and the ability to translate complex operational needs into clear, actionable product requirements. You will work closely with stakeholders, engineering teams, and internal users to deliver scalable solutions step by step.
What You Will Need to Solve:
Shape and deliver a new customer operations platform:
Drive AI and automation initiatives:
Shape product delivery and roadmap execution:
Enhance the customer operations ecosystem:
Collaborate with stakeholders and teams:
Your expertise:
Desirable:
Why join us:
Perks of working with us:
How we work together:
Wish you were here? We do, too!
Selection process steps*:
(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)
Our commitment to celebrate diversity and generate belonging:
At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.
Eligibility criteria:
By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.
Translates customer and business needs into product requirements, prototypes, documentation, and delivery support for an AI-powered HR talent platform.
Associate Product Manager | HR Tech, LMS & Talent Platforms | Hybrid, Princeton, NJ | Open to US-based candidates only
Location: Princeton, NJ (Hybrid, 3 days per week onsite)
Full-Time, Exempt
Join our AI-native talent and skills intelligence platform, helping organizations understand the skills their people have, the skills their business needs, and the path between the two.
We’re looking for an Associate Product Manager, ideally with a background in HR tech, LMS, or talent platforms, to help turn product vision into the documents, decisions, and experiences that engineering builds from. This is a growth-oriented role for someone who wants to build a long-term career in product management, with mentorship and a clear path to Product Manager.
If you’re an exceptional communicator, a structured thinker, and someone who already uses AI tools every day to produce better work faster, we’d love to meet you.
About the Role
This product is built within Infopro Learning, a global learning and talent solutions company, giving us access to enterprise customers from day one. It’s already in use by real customers, and we’re building rapidly as we help organizations make smarter talent, skills, learning, and workforce decisions through AI.
This role requires some overlap with our India-based team, typically in the Eastern Time morning.
What You’ll Do
Transform ideas, customer feedback, and business needs into clear product requirements, feature briefs, and product documentation
Create wireframes, mockups, presentations, and product artifacts using AI-powered tools
Build quick working prototypes with AI tools to test ideas early, and support the team in defining the evaluation criteria that tell us whether an AI feature is working
Work daily with engineers to clarify requirements and support product delivery
Participate in customer and user conversations, translating insights into product improvements
Maintain and refine product documentation as priorities evolve
Build deep expertise in AI, skills intelligence, learning, and talent management
What We’re Looking For
3+ years of experience in Product Management, Business Analysis, Implementation, or Customer Success, ideally at an HR tech, LMS, or talent platform company
Excellent written communication and the ability to simplify complex topics clearly
Experience gathering requirements from business stakeholders and translating them into actionable plans
Strong product thinking and a structured approach to problem-solving
Eagerness to learn quickly and take on more ownership over time
Comfort working in a fast-moving environment where priorities can shift
Daily, hands-on use of AI tools, not as an occasional aid, but as a core part of how you think, write, and build
Authorization to work in the United States. We are unable to sponsor or take over sponsorship of employment visas for this role.
AI-Native Product Deliverables
Modern product work goes beyond traditional PRDs. In an AI-assisted world, product owners deliver spec documents that both engineers and AI coding tools build from, working prototypes that test ideas before engineering commits, and the prompts and evaluation criteria that define what “good” looks like for AI features.
Who Might Be a Great Fit?
You’ve spent your career around HR tech, LMS, or talent platforms, in a role such as product management, implementation, customer success, or business analysis. What matters most is your ability to think clearly, communicate effectively, learn quickly, and use AI to accelerate your work.
What You’ll Gain
Hands-on experience building an AI-native product from the ground up
Mentorship and direct exposure to enterprise customers and real-world product decisions
Deep expertise in the talent, skills, and learning technology space
A clear growth path from Associate Product Manager to Product Manager
Compensation and Benefits
Salary range: $62,000 to $93,000. Final compensation depends on experience and skill alignment.
Comprehensive benefits package including medical, dental, and vision insurance, a 401(k) retirement plan, and paid time off and holidays.
If you’re excited by AI, enjoy solving ambiguous problems, and want to accelerate your product management career, we’d love to hear from you.
Infopro Learning is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. If you need a reasonable accommodation during the application process, please contact learningtalent@infoprolearning.com .
Owns the vision, roadmap, discovery, launch, metrics, and regulatory delivery of an app-based vision care product.
SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!
As a Product Manager, you’ll help make getting an eye exam and prescription easier for millions of glasses and contacts wearers. You’ll own the customer experience for an innovative, app-based vision exam and help shape the product vision, roadmap, and go-to-market strategy. You’ll work closely with engineering, design, data, legal, and compliance teams to turn big ideas into a simple, seamless experience that makes it easier for customers to get the vision care they need and buy glasses online.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI-Hybrid
Leads product strategy, roadmap, revenue performance, and a team of product managers for Squarespace's customer engagement platform.
Headquarters: Remote, United States
At Squarespace, we empower our product teams to solve hard problems in ways that our customers love and strengthen our business. As Senior Director of Product for the Client Engagement Group (CEG), you will lead the product strategy and execution for Squarespace's customer engagement platform: the CRM, email campaigns, automations, and transactional communications that enable our merchants to build lasting customer relationships and grow their businesses on Squarespace.
The Client Engagement Group sits at the center of Squarespace's growth strategy. Our marketing tools are a critical lever in increasing product attach, reducing merchant churn, and building a differentiated position in the service commerce landscape. You will own the vision for transforming our current communications offering into a unified customer engagement hub… one that competes with best-in-class tools while leveraging Squarespace's unique data and ecosystem advantages.
You will report directly to the President of Squarespace and serve as a member of the Product leadership team. You will have the option of working on-site (hybrid) at our NYC headquarters or remotely within the U.S.
The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.
In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.Â
Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
#LI-Hybrid
Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process.
Â
Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.
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If you plan to use AI in any capacity during your candidate journey, please review our Candidate AI Policy.
To apply: https://weworkremotely.com/remote-jobs/squarespace-senior-product-director-client-engagement-group
Leads consumer product strategy, growth, partnerships, analytics, and business performance for CouponFollow’s browser extension and mobile apps.
At CouponFollow (NextGen), a System1 company (NYSE: SST), we help over 25 million monthly users save money by connecting them with real, verified coupon codes from thousands of leading retailers. As one of the world’s leading organic coupon sites, CouponFollow.com, we’re rapidly expanding our product offerings, user experience, and strategic partnerships.
We are looking for a Vice President, Consumer Products & Growth to take end-to-end ownership of our browser extension and related mobile apps business, as well as new strategic growth products in the deals and savings space. This is a hybrid business owner / growth / product-owner role. You’ll set the strategy for how we grow these businesses: marketing, installs, retention, and monetization, own the partner relationships that make that growth possible, and work hand-in-hand with product and engineering to ship the roadmap that gets us there. You will be the single point of accountability for the business’s performance and growth trajectory.
Strategy & Business Ownership
Own the extension and related business plans and operating cadence, with accountability for revenue, forecasting, KPI performance, and resource allocation; identify performance gaps early and lead corrective actions across the organization.
Define the growth strategy for the consumer product portfolio, setting the strategic priorities, growth levers, and market-positioning choices that will drive sustainable scale.
Set strategic product direction and roadmap priorities to enhance the product experience and business metrics.
Source and prioritize new business opportunities, evaluating build-vs-partner tradeoffs and sizing potential impact.
Build and scale a high-performing team to drive the business, establishing clear processes, staffing models, and quality standards to maintain strong user experience as volume grows.
Performance & Analytics
Own performance management of the CouponFollow browser extensions and mobile apps — analyzing, interpreting, and reporting on funnel, acquisition, retention, and cashback performance data.
Establish the reporting cadence and metrics framework the business is run against, surfacing insights and recommendations to leadership.
Growth Partnerships & Distribution
Own the strategy and execution for performance-based CPA/CPI partnerships that drive installs, activation, and monetization.
Manage the creator/UGC growth function against clear performance targets.
Build and grow high-value partner distribution relationships across affiliate networks, merchants, and other distribution partners, with a clear focus on scalable, pay-for-performance models.
Design, test, and optimize CPA (cost per action) and CPI (cost per install) offers, payout structures, and tracking frameworks to maximize efficient growth and LTV.
Work closely with the partnerships team to align affiliate network and merchant relationships with the extension/app business, ensuring clear KPIs, attribution, and payout accountability.
Define and track partner performance metrics (e.g., eCPI, eCPA, ROAS, retention cohorts) and run regular partner reviews to scale winners and cut underperformers.
Compliance & Risk
Ensure compliance with tracking technologies, digital marketing standards, and affiliate network stand-down rules.
Collaborate with product, data, and legal to ensure compliant tracking, fraud prevention, and clean integration of partner-sourced traffic into the extension funnel.
Cross-functional Execution
Manage and develop the paid growth function responsible for day-to-day channel execution - approve budgets, targets, and LTV-based guardrails while holding the team accountable for efficient, scalable growth.
Partner closely with product and engineering to translate strategy into a shipped roadmap.
Act as the connective tissue between partnerships, product, engineering, and leadership to keep the extension business aligned and moving.
8+ years of relevant experience with responsibility for consumer and product activities (e.g. product growth, product management, GM or P&L owner).
Demonstrated success developing and scaling performance-based growth programs, including CPA/CPI partnerships, affiliate channels, or other pay-for-performance distribution models.
Proven track record building, launching, and maintaining high-scale, successful products.
Experience strategically influencing and aligning senior stakeholders and key partners to consistently drive action, results, and change.
Hands-on, “roll up your sleeves” mindset, with the ability to be a driver and change agent in an organization.
Strong business acumen and data analytics proficiency.
Bachelor’s degree in business, engineering, marketing, or a related field (or equivalent practical experience).
Experience managing app and/or browser extension products.
Experience in affiliate marketing or digital partnerships.
Experience in the shopping and deals space.
Equal Employment Opportunity:
System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
This role is a fully-remote role, and can work in the following states: Connecticut, Georgia, Illinois, Massachusetts, Missouri, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Virginia.
SECURITY NOTICE:
Please be aware that fraudulent individuals or organizations may pose as System1 Recruiters or Hiring Managers in an attempt to solicit personal or financial information.  All legitimate System1 career opportunities are published directly on our official website, www.System1.com.  Authentic emails from our recruiting team will only come from an official @system1.com email address.  System1 will never ask candidates for money, banking information, processing fees, or equipment purchases during any stage of the recruitment 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.