Product Manager, Data Products

Alembic•San Francisco, CA

51d

About The Position

We're looking for a Senior Product Manager to define and lead product strategy for Alembic's Data Products division. This is a high-impact founding role where you'll own the vision, roadmap, and execution for the tools and APIs that eliminate integration friction and accelerate customer time-to-value.

Requirements

7-10 years in product management with focus on B2B/enterprise products, including at least 3 years on developer-facing or platform products
Track record of defining product strategy and shipping impactful products in 0-to-1 or high-growth environments
Experience working in agile/sprint-based development processes with engineering teams
Demonstrated ability to balance strategic thinking with hands-on execution
Deep technical understanding-can engage in detailed discussions about APIs, SDKs, data models, and system architecture with engineering teams
Solid grasp of data engineering fundamentals: ETL/ELT pipelines, data validation, schema evolution, data quality
Understanding of what makes great developer experience and tooling
Comfortable writing technical requirements, API specifications, and working closely with engineers during development
Strong analytical and metrics-driven approach-experience defining KPIs and using data to inform product decisions
Excellent stakeholder management across engineering, GTM, operations, and executive leadership
Proven ability to conduct customer discovery and translate insights into actionable product requirements
Outstanding communication skills-can explain technical concepts clearly to non-technical audiences and business concepts to engineers

Nice To Haves

Engineering or data science background (you've written production code)
Experience in marketing technology, advertising technology, or data analytics domains
Startup experience, particularly in founding or very early roles (first 5-10 employees)
Direct experience selling to or working with Fortune 100 enterprises
Exposure to AI/ML products or infrastructure

Responsibilities

Own product vision and strategy for data products that eliminate integration friction and accelerate customer time-to-value from weeks to days
Conduct deep customer discovery through direct engagement with Fortune 100 companies to identify pain points and translate them into clearly scoped product requirements
Partner closely with engineering to prioritize and ship SDKs, APIs, and tools-making strategic trade-offs between immediate customer needs and long-term platform scalability
Define and track metrics that measure product impact: adoption rates, integration time reduction, developer satisfaction, and revenue influence
Drive cross-functional alignment with GTM, engineering, operations, and leadership to ensure successful launches and rapid iteration based on customer feedback
Build systematic feedback loops with customers and internal teams to continuously improve product quality and developer experience
Make strategic product decisions that balance the needs of multiple stakeholders while maintaining focus on outcomes that drive business growth

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