Senior Technical Product Manager

Job Description

What You’ll Do

• Own Product Areas Across the Platform: Take end-to-end ownership of product areas spanning Ingestion, Reverse ETL, Observability, and Catalog, translating complex technical and data challenges into clear priorities, crisp specifications, and measurable outcomes.
• Go Deep on Data Infrastructure: Immerse yourself in the nooks and crannies of database replication and pipelines, including Postgres WAL and logical decoding, MySQL binlog, CDC edge cases, sync performance, and schema evolution, and turn that depth into better product decisions.
• Be the Voice of US Customers: Speak regularly with customers to uncover pain points, validate product direction, and ensure what we build resonates with real-world data teams. Represent customer needs in every roadmap conversation.
• Partner with Engineering Across an Ocean: Build strong remote working relationships with our Israel-based engineering team. Write specs that stand on their own, communicate asynchronously with precision, and engage deeply on technical tradeoffs.
• Iterate and Prioritize Ruthlessly: Continuously refine the roadmap based on data, user feedback, and results. Focus engineering effort on the highest-impact work, making tough tradeoffs and cutting scope when needed to ship faster and learn sooner.
• Know the Competitive Landscape: Develop a sharp point of view on the data integration and observability market, and use it to inform positioning, prioritization, and where Matia can win.
• Shape Product Culture: Work with the VP of Product to establish Matia’s product rituals and standards, from specs and prioritization frameworks to how we define success and learn from customers.

What We’re Looking For

We’re looking for a hungry, deeply technical Senior Product Manager who thrives in fast-moving, ambiguous environments and wants to be close to both the customer and the metal. We value entrepreneurial spirit and genuine technical depth, and we care far more about what you can do than where you’ve been.

Must-Haves:

• Experience: 5+ years as a Product Manager, with at least 2 years on data-intensive or infrastructure products (data pipelines, databases, observability, data catalogs, developer tools).
• Database Depth: Genuine working knowledge of relational database internals, especially Postgres and MySQL: replication mechanisms, change data capture, transaction logs, schema evolution, and performance characteristics. You can hold your own in a design discussion about a CDC pipeline.
• Technical Fluency: Strong SQL, comfort reasoning about data structures and data quality (freshness, completeness, lineage), and the ability to engage deeply with engineers on tradeoffs.
• Execution Track Record: Demonstrated success shipping technical products end-to-end, from discovery through delivery with clear metrics moved.
• Customer Fluency: Comfortable and credible in front of technical customers, from data engineers to heads of data, and able to translate their problems into product direction.
• Remote Collaboration: A track record of working effectively with distributed engineering teams. Writing-first, proactive, and able to keep momentum across time zones.
• Startup DNA: Hungry. Thrives in hectic, noisy, resource-constrained environments. Able to work with ambiguity, act autonomously, and keep engineers focused on outcomes.
• AI Productivity: Skilled at using modern AI tools (e.g., for research, drafting specs, analyzing data) to accelerate product workflows and increase day-to-day velocity.

Nice-to-Haves:

• Experience at a data integration, data movement, or data observability company.
• A prior background as a software engineer, data engineer, or DBA.
• Experience as the first or early PM at a startup.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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