Build and maintain a prioritized Lab portfolio/backlog with clear hypotheses, expected upside, effort, dependencies, and status.
Define the riskiest assumptions for each bet and design experiments with explicit kill criteria.
Run fast experiments (spikes, prototypes, wizard-of-oz, pilots) and ship “just enough” product to learn—without overbuilding.
Partner tightly with engineering and design to deliver pilots and instrument them to capture meaningful signals.
Synthesize outcomes into crisp decisions: Scale / Iterate / Pivot / Kill—and prevent “zombie projects.”
Create lightweight decision logs and learning summaries to keep leadership and GTM aligned.
Identify GTM dependencies early (positioning, enablement, pricing, legal, support, etc.) and coordinate cross-functionally.
When signal is strong, prepare a clean handoff package (what was validated, evidence, remaining risks, success metrics, recommended scaling plan).

Senior PM experience in 0→1 / incubation / new bets (or equivalent track record).
Strong product judgment and technical fluency: can write specs, reason about feasibility, tradeoffs, instrumentation, and data needs.
Comfort operating as the driver: minimal delegation, maximal ownership.
Proven ability to run fast, scrappy experiments and move from ambiguity to decisions.
Strong communication: can produce concise decision logs, learning summaries, and alignment artifacts.
Uses AI as leverage for research, synthesis, prototyping, and analysis—while maintaining high-quality judgment.

Private medical insurance for the employee and their family
23 paid vacation days per year
11 paid public holidays per year
5 company-paid sick leave days
English learning courses.
Relevant professional education.
Gym or swimming pool.
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
Co-working.
Remote working.

Senior Product Manager, Lab

Key skills