Senior Product Manager, Platform
New
L
LearnLuxFinancial technology
Remote candidates will be evaluated on a case-by-case basis.Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- SQLArtificial IntelligenceData AnalysisProduct ManagementRESTful APIs
Requirements
- Strong Product Management experience in B2B or enterprise SaaS, with demonstrated ownership of product strategy and roadmap.
- 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.
Responsibilities
- 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.
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