Jason Fennell is a seasoned engineering leader with 15+ years building and scaling data-driven product and infrastructure organizations, most notably growing Yelp’s engineering function from a small search team into a 900-person organization and later leading Meta’s Privacy engineering to operational maturity. He combines hands-on technical fluency (real-time stream processing, large-scale data scanning, PETs and applied ML) with cross-cutting skills in org design, acquisition diligence, and recruiting, consistently delivering efficiency and measurable time/cost savings at scale. At Meta he introduced LLM-driven task structuring and unified exabyte-scale sensitive-data tooling, turning chaotic distributed work into repeatable, auditable processes. Based in San Francisco, he now targets senior roles where he can set strategy for ~100–250 person teams, mentor engineers at all levels, and drive high-level technical direction across product, infra and data. An early adopter of kappa architecture and production deep learning for consumer features, he’s equally comfortable shipping user-facing products and architecting backend systems.
15 years of coding experience
7 years of employment as a software developer
Bachelor of Science CS & Math, Bachelor of Science CS & Math at Harvey Mudd College
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