Senior Product Engineer (AI)

Dataro, Inc • San Francisco, CA

1d • Remote

About The Position

Dataro is an ethically minded SaaS startup using machine learning to help not-for-profits raise more money and do more good. Our platform powers fundraising for organizations across the world, helping them run smarter campaigns and improve donor engagement using data-driven insights. Every day we ingest and process hundreds of millions of records from a wide range of fundraising and CRM systems. This data underpins our predictive modeling and analytics products. As we expand in the United States, we're looking for an exceptional engineer who is also an excellent communicator - someone who can work directly with customers, solve technical problems end-to-end, and act as the bridge between clients and our Sydney-based engineering team.

Requirements

• Strong product engineering experience across full-stack web applications: frontend, backend, APIs, data flows, and third-party integrations
• AI or LLM features you have shipped to real users, with a practical grasp of evaluation, prompt and workflow iteration, failure modes, and cost and performance tradeoffs
• Strong Python or TypeScript, or both
• AI-native ways of working. You use AI agents and tools as a core part of how you build, and it makes you fast
• Product judgment. You care about user value more than technical novelty, and you ship, learn, and improve
• Comfort with messy data. You do not need a data science title, but these problems should interest you rather than put you off

Nice To Haves

• Agentic workflows, RAG, eval harnesses, AI observability, or human-in-the-loop systems
• Applied ML or a data science background, or work on data-heavy products, CRM data, or prospect research
• Startup or founding-engineer experience in high-ambiguity product work

Responsibilities

• Design and build new AI experiences across our products: agentic workflows, research assistants, natural-language interfaces, human-in-the-loop review, recommendation flows, and workflow automation for nonprofit teams.
• Take a loosely defined opportunity, find the smallest useful experiment, and build it fast. You will prototype with LLMs, internal data, third-party APIs, and product interfaces. You will test with real users, and help decide what to kill, iterate, or scale.
• When an experiment works, make it real. This means secure architecture, reliable data flows and pipelines, observability, permissions, cost and latency controls, and code that others can maintain.
• Build the eval harnesses, instrumentation, and experiment scaffolding that tell us whether a feature works. This applies before launch, after launch, and every time a prompt, model, or pipeline changes.
• Build AI-powered internal tools that create leverage across engineering, product, and customer-facing teams.

Benefits

• Fully covered "silver" tier healthcare plan (with medical/dental/optical)
• 401k plan, matched up to 5%
• 4 weeks paid leave (with additional leave if moving house, having a baby, etc, subject to our internal policies)
• 10 days paid sick leave
• Professional development budget for courses, mentoring or conferences and additional home office budget
• Additional Paid Volunteering Leave to give back to the causes that matter to you

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed