Senior Product Manager - AI Migrations
Senior PM owning GenAI-powered migration features that simplify enterprise data and application modernization. Requires 6+ years enterprise PM experience, strong data/ETL technical foundation, and GenAI familiarity.
About the job
Responsibilities
- Own Feature Direction & Alignment: Provide clarity, conviction, and insight for owned features. Ensure roadmap and projects align with broader company strategy and migration goals.
- Balance Technical Constraints: Deeply understand customer migration needs (data types, ETL pipelines, post-migration validation). Weave technical constraints into product decisions, balancing engineering effort, customer value, and feasibility.
- Execute with Transparency: Help engineering team prioritize effectively, explaining rationale behind technical trade-offs. Keep cross-functional stakeholders updated on status with precise, succinct communication.
- Drive with an MVP Mindset: Partner with engineering to foster high-velocity culture focused on speed and unblocking customer pipelines. Define and ship MVPs to select customers to validate core hypotheses and iterate based on real-world feedback.
- Understand GTM & Enablement: Learn how migration features are taken to market. Understand required collateral, enablement pathways, and partner ecosystems (Professional Services and GSIs).
- Analyze Metrics & Insights: Track usage and health metrics. Conduct regular data analysis to deliver insights and make data-driven decisions that push north star metric: reducing overall customer migration time.
- Contribute to the Team Culture: Act as a mentor, help solve team-wide issues (quality or process optimization), and participate as interviewer to scale the PM organization.
Requirements
- 6+ years of enterprise product management experience, with proven track record of independently running features through the full product lifecycle.
- Solid technical foundation: Strong familiarity with data ecosystems (databases, SQL platforms, data engineering, ETL workloads) and ability to factor technical limitations into feature design.
- Developer/Partner focus: Experience building or working with developer tools, APIs, or data platforms where user ergonomics and clarity are critical.
- GenAI / LLM familiarity: Practical exposure to or strong understanding of delivering AI-powered features (e.g., code translation, developer co-pilots, semantic validation, or working with frameworks like LangChain).
- Strong collaboration skills: Ability to build relationships across functions (Engineering, Professional Services, Partners) and leverage direct and indirect influence.
Skills
Product Management, Enterprise Software, Data Ecosystems, SQL, Data Engineering, ETL, Developer Tools, APIs, Generative AI, LLMs, LangChain
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