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Senior Product Manager (Ai-Native)

Umba

full time Nairobi Posted 1 day ago

Qualifications & Experience

  • 5+ years in product management.

  • Direct experience shipping consumer or SME products in fintech, banking, or lending.

  • Track record of owning outcomes. You measure yourself by the metric that moved (revenue, active users,

  • default rate, deposit growth), not by what was planned or shipped.

  • Strong stakeholder coordination. You drive alignment across the cross-functional set above without losing your own thread.

  • Strong written communication. You can write a spec a senior engineer does not need to ask questions about.

  • Comfortable reading production data yourself. SQL fluency, or willing to get there in week one.

  • Demonstrated proficiency with AI tools in your daily workflow (Claude Code, Claude Design, Codex, and similar tools). You have shipped real work with them, not just experimented.

  • Comfortable reading and writing code, enough to ship a small PR with Claude Code.

  • High agency. You move from problem to validated solution to shipped product without waiting to be told.

  • Able to read CBK / CBN guidance and translate it into product requirements

Strategy & Discovery**

  • Own the roadmap across Lending (Logbook, Asset Finance, UmbaPay Loans), Savings & Fixed Deposits, FX (Exchange, Virtual Account Numbers, international payouts), and the upcoming Trade Finance line.

  • Run customer discovery directly with target segments: freelancers, SME exporters and importers, individual borrowers and savers.

  • Size opportunities, instrument funnels, and validate hypotheses against production data. You do not wait for an analyst.

  • Make prioritization calls across very different product lines (a credit-policy tweak vs. a new FX corridor vs. a deposit campaign) and defend them with numbers.

  • Track competitor moves across African fintech (Eversend, Wave, Flutterwave, Kuda) and translate them into product decisions.                                   

Execution & Delivery**

  • Write product and technical specifications that engineers and AI coding agents can implement directly.

  • Tight, unambiguous, testable.

  • Prototype in Claude Design to validate concepts before committing engineering time.

  • Code and ship small PRs yourself with Claude Code when it is faster than handing off. PMs at Umba live in the codebase.

  • Drive delivery end to end. Own scope, timeline, and quality.

  • Run delivery in Linear, our next-gen product and project management surface.

  • Run the cadence with Engineering: standups, sprint reviews, unblocking, bug triage, and trade-off calls when things slip.

  • Coordinate across stakeholders (CEO, Engineering, Data, Credit, Operations, Risk, Compliance, Marketing).

  • Align scope, ship dates, and trade-offs across teams that have different incentives.

  • Own outcomes, not output. Tie every initiative to a revenue, growth, or risk metric. Track it post-launch and iterate until the metric moves.

  • Review AI-generated implementations, prototypes, and analyses for correctness, edge cases, and business fit.

  • Build feedback loops: customer signal, spec, AI-assisted build, metric, next spec. Compress the cycle.

  • Own launch comms and internal enablement.