Richard "Rich" Nelson
Engineering Leader — EM / Sr. EM / VP Engineering · New York, NY · a hands-on manager who codes
Engineering leader with ~11 years in software and ~9 leading teams (up to 3 teams / 16 reports, including managing managers). A consistent thread runs through every role: machine learning, growth and experimentation, and data-intensive product engineering — across media (HBO, NYT, MLB, Spotify), fintech, e-commerce, ads (Amazon), and marketplace support automation (DoorDash).
Currently an applied-AI leader: personally builds and ships agentic LLM systems — including an autonomous ticket-to-PR pipeline built from 13 composable Claude Code skills — and runs a cross-team AI-adoption program. Management philosophy: a great EM optimizes for growing their people and works themselves out of a job.
Employment
| Years | Employer | Role |
|---|---|---|
| 2026–now | DoorDash | Engineering Manager, Support Intelligence & Growth |
| 2025–26 | Amazon | Software Development Manager, Ads |
| 2022–25 | Spotify | Engineering Manager II, Growth Platform |
| 2019–21 | Major League Baseball | Sr. Engineering Manager, Machine Learning |
| 2018–19 | MaxMyInterest | VP of Engineering |
| 2017–18 | Vroom.com | Engineering Manager |
| 2017 | The New York Times | Software Engineer |
| 2016–17 | Vroom.com | Software Engineer |
| 2016 | Bespoke Post | Software Engineer |
| 2015–16 | Joystick Interactive | Software Developer |
- DoorDash: 10-engineer team owning AI support automation and DashPass growth across DoorDash and Wolt. Built ticket-to-pr, an autonomous bug-fixing system (labeled ticket → verified, reviewed PR, no human in the loop, typical cost $5–10 per fix). Founded and leads ACE, a Director-sponsored AI-adoption working group.
- Amazon: two teams on ads data pipelines processing 10B+ events/day; cut incoming support tickets >15% with internal GenAI experimentation.
- Spotify: shipped Podcast Comments and Polls (engagement +20% YoY); user acquisition +12%; monolith→services (time-to-market +33%); localization to 30+ languages.
- MLB: stood the ML department up from zero (3 teams incl. EMs); first personalization/recommendation systems (Week-1 retention +18%); CV and predictive analytics on national broadcasts.
- MaxMyInterest: head of engineering for a fintech moving $5B+/month; password-only auth → full MFA.
- Vroom: company's first front-line EM (3 teams / 16 reports); ML inventory pricing (+12% margin); test coverage 30%→80% in ~3 months.
Selected Public Work & Press
- "Make Donald Drumpf Again" for HBO's Last Week Tonight (2016) — microsite + Chrome extension; 1M+ views in 24 hours; covered by the Washington Post, The Guardian, The Daily Beast.
- #GiveAShit for WaterAid (2016 Webby nominee) — iOS emoji-builder app; 230M+ media impressions across 53 countries.
- HBO's GameOfThrones.com — lead developer during the run-up to season six.
- Burberry Festive Photobooth — in-store multipeer iOS capture experience at the Regent Street flagship; covered in The Telegraph.
- Open Source Selfie Stick — iOS multipeer camera remote, MPL 2.0.
Education
- Georgia Institute of Technology — M.S., Computer Science (2020), completed while working full-time; graduate TA for Reinforcement Learning, 3 semesters.
- University of Pennsylvania — B.A., American History (2007).
- App Academy (2015) · Certified ScrumMaster
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