Technical Product Manager

About The Agency Fund The Agency Fund (TAF) is a nonprofit accelerator working at the intersection of technology, AI, and behavioral science in global development. We embed engineers and product managers directly inside evidence-based nonprofits — helping them build data infrastructure, run experiments, and use product thinking to scale their impact. Our small, distributed team of ~22 works across multiple time zones with partners spanning East Africa, South Asia, and beyond. We are growing our technical team to meet accelerating demand from our portfolio. As part of that growth, we are hiring a Technical PM who will work at the heart of our accelerator — embedded with 3–4 NGO partners at a time, leading product engagements end-to-end, and helping shape how we deliver at scale. The Role The Technical Product Manager is a senior, delivery-focused role at the center of TAF's accelerator work. You'll split your time roughly 50/50 between partner-facing and internal-facing work: building trusted relationships with NGO partners and translating their needs into actionable product roadmaps on one side; driving execution with TAF's engineering team through structured agile processes on the other. You'll get your hands dirty building dashboards, scoping data pipelines, designing A/B tests, and unblocking engineers. You're expected to be as comfortable in a SQL query as in a partner discovery call. Within 90 days, you should have sufficient agency to run engagements independently. Within a year, you should be training others. What You'll Do Partner Engagement (50%) Act as the primary interface with 3–4 NGO partners at any given time — building trust, scoping collaborations, and surfacing pain points through structured discovery Translate partner needs into roadmaps and technical advisory on product, data, evaluation, and experimentation Report back on learnings from partner work, trace patterns across organizations, and help release lessons learned as public goods that benefit the broader sector Product & Engineering Execution (50%) Get your hands dirty with partners' platforms: build dashboards, data pipelines, AI evaluations and production integrations, analyze data to extract trends, run A/B tests, and perform user research Define and drive product roadmaps across TAF's tools, translating complex partner workflows into clear engineering requirements Run agile sprints with TAF's engineering team; ship critical features and own the full loop from partner need to shipped product to feedback Team & Talent (ongoing) Coach partner organization staff on process, upskill their technical and leadership capabilities, and help them hire for critical roles Coach and mentor Lighthouse Fellows on how to navigate nonprofit partners, run structured engagements, and operate effectively in a resource-constrained environment Contribute to TAF's internal playbook: document what works, codify engagement frameworks, and build the institutional knowledge that makes the team better over time Who You Are 5+ years in technical product management, solutions engineering, or tech consulting — ideally with both client-facing and engineering-facing responsibilities Meaningful track record in a low-resource, mission-driven, or Tech for International Development context You've shipped AI/LLM product features, data pipelines or warehouses, and production APIs — not just managed people who did, but actually built alongside them Can read and write SQL, navigate a codebase, and build data pipelines and dashboards Demonstrated experience using quantitative methods for causal inference (A/B tests, etc.) or predictive analytics — you can design a study, interpret the results, and present them to a non-technical program director Fluent in agile: sprints, backlog grooming, estimation, retrospectives — you run these processes well even when the team is small and everyone is wearing multiple hats Track record managing competing stakeholder needs across engineers, behavioral scientists, and NGO program teams — without formal authority over any of them Bonus Points Experience with global development data stacks: ODK, DHIS2, Kobo, Metabase, dbt, or similar Familiarity with the evidence-based development ecosystem — J-PAL, IPA, IDinsight, or similar RCT/MEL contexts Prior experience at a B2B product company balancing customer success with internal engineering priorities Exposure to GenAI product development: evaluation frameworks, prompt engineering, LLM integrations What Success Looks Like At 90 days: Fully ramped with independent agency on at least two NGO partners, running your own sprint cadence, and making decisions without needing to escalate routine calls. At least one quick win delivered — an experiment run, a feature shipped, or a dashboard built with a partner. At one year: Led 3–4 partner engagements end-to-end with meaningful technical outcomes. Training others — coaching or hiring partner organization staff and Fellows. Meaningfully contributed to how TAF does this work: a framework improved, a process documented, a playbook built. Applications are reviewed on a rolling basis.