Job responsibilities
- Own the Lab portfolio. Build and run a single, visible, prioritised portfolio. Every bet has a clear hypothesis, expected upside, effort, dependencies, owner and next decision point.
- Set a repeatable prioritisation method. Weigh signals, confidence, upside, GTM dependency and effort so bets are chosen on evidence, not enthusiasm.
- Design experiments that can fail cleanly. Name the riskiest assumptions for each bet and set explicit kill criteria before you start. Deliver a 4–8 week experiment plan in your first months.
- Run fast and ship just enough. Use spikes, prototypes, Wizard of Oz tests and pilots to learn quickly without overbuilding.
- Instrument every pilot to capture meaningful signals. Make the call. Turn outcomes into crisp Scale, Iterate, Pivot or Kill decisions, with no zombie projects. Keep lightweight decision logs and learning summaries so leadership and GTM stay aligned.
- Secure the team per bet. Engineering and Design support is assigned on demand, so make it explicit for each top-priority initiative and set a working cadence.
- Get ahead of GTM. Coordination with GTM is usually the hardest part. Flag dependencies early (positioning, enablement, pricing, legal, support) and drive alignment across teams.
- Hand over winners cleanly. When the signal is strong, package what was validated, the evidence, remaining risks, success metrics and a recommended scaling plan.
- Work AI-native. Use AI actively in day-to-day work for research, synthesis, prototyping and analysis to move faster, while keeping judgement sharp.
What you'll do
- Drive discovery, experimentation and early delivery with Engineering and Design in the Lab.
- Make explicit Scale, Iterate, Pivot or Kill calls based on evidence.
- Own and manage the Lab portfolio through to initial pilots and evidence-based scaling decisions.
- Collaborate with GTM to align positioning, enablement and go-to-market motions.
Who you are
- Senior PM with 0→1, incubation or new bets experience, or an equivalent track record.
- Strong product judgement and technical fluency: write specs and reason about feasibility, trade-offs, instrumentation and data needs.
- A proven record of running fast, scrappy experiments and moving from ambiguity to decisions.
- Comfort as the driver, with minimal delegation and maximum ownership.
- Strong written communication: concise decision logs, learning summaries and alignment artifacts.
- Practical use of AI as leverage for research, synthesis, prototyping and analysis.
- Fluent written and spoken English.
Tech stack
Not specified in the description.
Team description
The Lab runs like a small startup inside the company, turning ambiguous opportunities into shipped pilots and clear investment decisions. You’ll work with Engineering and Design, and coordinate with GTM.
Qualifications
- Senior PM experience in 0→1, incubation or new bets, or an equivalent track record
- Strong product judgement and technical fluency
- A proven record of running fast, scrappy experiments
- Comfort as the driver with minimal delegation
- Strong written communication
- Practical use of AI for research, synthesis, prototyping and analysis
- Fluent written and spoken English
Benefits & perks
- Private medical insurance for employee and family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses and relevant professional education
- Gym or swimming pool
- Home Office Setup Assistance
- Co-working and remote working
- €50 monthly allowance for internet and mobile phone expenses
- Equal opportunity employer; inclusive environment
Location
Portugal, Remote (core hours 9:00–18:00 CET)
