
Senior Product Manager – AI-Native
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in Kenya.
• Take ownership of product strategy and execution for financial technology offerings from initial discovery through to specification, delivery, launch, and post-launch evaluation.
• Manage the roadmap for areas including credit and lending, savings and deposits, payments and foreign exchange, as well as new product development.
• Engage in customer discovery processes with individual borrowers, savers, SMEs, business operators, and freelancers.
• Assess market opportunities, create funnels, and validate hypotheses using production data.
• Make and justify prioritization choices across various product lines utilizing quantitative data.
• Monitor competitor activities and incorporate insights into product strategy.
• Craft product and technical specifications that can be directly implemented by engineers and AI coding agents.
• Develop prototypes in Claude Design prior to allocating engineering resources.
• Write and deploy small pull requests using Claude Code when expedient compared to handing off tasks.
• Oversee delivery processes from start to finish, ensuring control over scope, timeline, and quality.
• Manage the delivery rhythm in Linear, including standups, sprint reviews, unblocking issues, bug triage, and trade-off discussions.
• Collaborate with stakeholders in Leadership, Engineering, Data, Credit, Operations, Risk, Compliance, and Marketing.
• Take responsibility for revenue, growth, and risk outcomes; monitor metrics post-launch and iterate as necessary.
• Evaluate AI-generated implementations, prototypes, and analyses for accuracy, edge cases, and alignment with business needs.
• Establish feedback loops from customer insights through specification, AI-assisted development, metrics analysis, and subsequent specifications.
• Handle launch communications and facilitate internal enablement.
• A minimum of 5 years of experience in product management.
• Proven experience in launching consumer or SME products within fintech, banking, lending, or payment sectors.
• Demonstrated history of owning outcomes gauged by metrics such as revenue, active users, default rates, or deposit growth.
• Strong capability in coordinating with stakeholders across Leadership, Engineering, Data, Credit, Operations, Risk, Compliance, and Marketing.
• Excellent written communication skills with the ability to produce clear, unambiguous, and testable specifications.
• Comfortable independently interpreting production data.
• Proficiency in SQL or a commitment to achieving it within the first week.
• Proven ability to utilize AI tools such as Claude Code, Claude Design, Codex, and similar applications in everyday tasks.
• Experience in delivering tangible results using AI tools.
• Adept at reading and writing code, and capable of submitting small pull requests with Claude Code.
• High degree of independence and the ability to transition from problem identification to validated solutions and shipped products autonomously.
• Ability to interpret financial regulatory guidance and translate it into product specifications.
• Highly preferred: experience with credit products, including origination, scoring, and collections.
• Highly preferred: experience with deposit products, covering rate strategies, treasury, and funding.
• Highly preferred: familiarity with foreign exchange, cross-border payments, stablecoins, or virtual account infrastructures.
• Highly preferred: experience working with engineering teams that utilize AI coding agents in production workflows.
• Highly preferred: previous involvement in emerging markets, especially in Africa, Southeast Asia, or Latin American fintech.
• Bonus: experience as a founder or in 0-to-1 product development.
• Bonus: knowledge of trade finance instruments, such as invoice factoring, LPO financing, and purchase order financing.
• Salary expectations should be stated in Kenyan Shillings.
• Valid work authorization for Kenya is required.
• A brief description of a project built end-to-end using AI, detailing the project, AI applications, and the final outcome.
• Equal opportunity employer.
• Rolling-basis interviews due to the urgency of the position.
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