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.

Must-haves

• 5+ years of product management experience shipping digital products.
• Proven ability to lead cross-functional teams and drive execution through ambiguity.
• Exceptional written and verbal communication (you can produce clarity quickly).
• Strong stakeholder management: you can influence without authority and drive decisions.
• Strong product fundamentals: discovery, prioritization, roadmap, delivery, and iteration.
• Comfort with technical systems: APIs, data flows, event-driven systems, and constraints of mobile + web platforms.

AI experience (Required)

We are looking for evidence that you’ve used AI to materially improve outcomes.

Examples:

• You’ve built or shipped an AI-assisted product feature or internal tool
• You’ve implemented LLM workflows (structured outputs, tool use, evals)
• You’ve used AI to automate analysis, documentation, customer insights, or ops processes in a measurable way

Show us proof: demos, repos, case studies, or concrete before/after outcomes.

Nice-to-haves

• Experience in marketplaces, fintech/credit, operations-heavy products, or B2B/B2B2C platforms
• Familiarity with field operations, low-connectivity design, or emerging-market user constraints
• Experience working across Indonesia/India/SEA (or equivalent multicultural environments)