Job Responsibilities
1) Product strategy + business outcomes
- Define the product strategy for a major Rize product area (platform + ops), aligned to business goals.
- Translate company strategy into an execution plan: clear bets, sequencing, and tradeoffs.
- Own the unit economics and financial impact of your product area (revenue, cost-to-serve, loss rates, throughput) as it grows toward P&L accountability.
2) End-to-end delivery leadership
- Drive discovery, prioritization, roadmap, and execution with Engineering + Design.
- Write crisp problem statements, requirements, and acceptance criteria.
- Run stakeholder reviews with speed: push decisions to closure, manage risk, and unblock teams.
3) Stakeholder alignment + decision-making
- Bring together Operations, Country teams, Finance, MRV, and Engineering to align on goals and constraints.
- Operate as the “decision integrator” — when inputs conflict, synthesize them into a single recommended path.
- Communicate with extreme clarity: narratives, memos, async updates, and structured meeting outcomes.
4) AI-enabled product management (not buzzwords)
We want someone who has already used AI to produce real leverage — and can do it again inside our product and our workflows.
You will:
- Use AI tools to accelerate research, PRDs, analysis, and iteration speed.
- Design AI-assisted workflows and agent behavior (scheduling, exception surfacing, data suggestions).
- Define what “good” looks like: evaluation, monitoring, feedback loops, and human override patterns.
5) Remote sensing & satellite-first product thinking
- Identify where satellite-derived signals (e.g., planting/harvest timing, anomalies) can reduce field workload, improve decision quality, and tighten verification loops.
- Partner with data/RS teams to translate satellite outputs into product surfaces: alerts, planning views, risk scores, and exception queues.
6) Data + analytics rigor
- Define leading/lagging indicators and instrumentation for every major release.
- Partner with analytics to translate platform events into a product insight loop.
- Use data to settle debates, not opinions.
