Senior Product Manager

Role Description

At LearnLux, you will build a product that changes lives. Our mission is to empower people to take control of their financial future, whether that means getting out of debt, buying their first home, or preparing for retirement.

As a Senior Product Manager, Platform, you’ll own strategy and roadmap across several foundational areas of our enterprise SaaS platform:

• Data
• AI
• Data compliance
• Global platform strategy
• Client integrations
• Strategic vendor partnerships

You’ll collaborate with stakeholders across the company to proactively identify the highest-leverage problems and opportunities and turn them into clear product priorities.

This is a highly hands-on role for a Product Manager who is comfortable operating in ambiguity and moving between long-term strategy and detailed execution. You’ll analyze data directly, shape requirements, evaluate tradeoffs, work through complex client and regulatory needs, and partner closely with Engineering and Data to drive initiatives from discovery through delivery.

As LearnLux continues to expand globally, you’ll help define the platform investments required to win in international markets, including:

• Regional data privacy and residency requirements
• Global performance and infrastructure needs
• Other capabilities required to serve complex enterprise customers around the world

AI will also be an important part of how you work. You’ll use AI alongside SQL and other analytical methods to uncover insights and improve decision-making, while helping define how LearnLux evaluates the quality and reliability of AI-powered product experiences.

This role is based in Denver, Colorado. Remote candidates will be evaluated on a case-by-case basis.

Qualifications

• Strong Product Management experience in B2B or enterprise SaaS, with demonstrated ownership of product strategy and roadmap. Ideally within the benefits space.
• Experience owning data-heavy products, platforms, or capabilities and making product decisions based on complex data.
• Experience with complex B2B integrations, APIs, client implementations, or other integration-heavy platform work.
• Fluency in SQL and the ability to independently query and analyze data.
• Demonstrated ability to use AI tools to conduct analysis, uncover product or data insights, and improve product decision-making.
• Ability to contribute to the design and execution of AI evaluations, including test cases, expected behaviors, and criteria for assessing AI output quality.
• Experience working in a startup or similarly fast-moving environment where priorities, processes, and requirements are not already well-defined.
• Strong strategic and analytical thinking, with the ability to take ambiguous problem spaces and turn customer, business, data, and technical inputs into a clear strategy and path to execution.
• Experience partnering closely with engineering teams on technically complex products or platform initiatives.
• Strong cross-functional collaboration and communication skills, including the ability to build alignment and explain complex product and technical tradeoffs clearly.

Requirements

• Own product strategy and roadmap across data, AI, data compliance, global platform capabilities, client integrations, and strategic vendor partnerships.
• Partner with stakeholders across the company to identify client, business, operational, and technical needs and translate them into clear priorities.
• Define and prioritize platform investments required for global scale, including regional privacy, data residency, performance, and infrastructure considerations.
• Own product direction for data capabilities, including data quality, governance, internal analytics infrastructure, data architecture priorities, and AI/data products.
• Use Business Intelligence, AI tools, and agentic workflows to investigate data, validate assumptions, uncover opportunities, and inform product decisions.
• Define requirements related to data privacy and governance, including GDPR, CCPA, data retention and deletion, residency, and contractual client requirements.
• Own product direction for client and partner integrations, including HRIS and eligibility feeds, data vendors, implementation partners, and integrations between LearnLux and client systems.
• Evaluate vendor and partner capabilities, drive build-versus-buy decisions, and manage product considerations across strategic vendor relationships.
• Partner closely with Engineering and Data to scope complex initiatives, make thoughtful tradeoffs, define success metrics, and drive work from discovery through delivery.
• Develop and maintain AI evaluations (Evals) that assess the quality, reliability, and usefulness of AI-powered product experiences.
• Bring structure to ambiguous problems and communicate strategy, decisions, tradeoffs, and progress clearly to technical and non-technical stakeholders.

Benefits

• Remote-first company structure
• Medical, dental, and vision
• 401(k)
• Mental wellbeing (Talkspace)
• Financial wellbeing (LearnLux)
• Paid vacation and sick leave
• Paid sabbatical after 5 years of service
• A supportive, inclusive team culture
• Opportunities for continuous learning and growth at a fast-growing startup at the cutting edge intersection of financial wellness and technology