Feanix Autopilot combines whole-genome sequencing, DairyComp, EZfeed, milk checks, feed costs, health records, and real farm performance data into one prediction engine that prices every cow on your economics — not the industry average. Backed by Y Combinator.
About the role
Feanix is expanding its product offerings based on our farmers' needs and moving into other species, and engineering has to scale with these business goals. Today we're a small, tight engineering team behind one core product: Autopilot and sire mating, the decision engine farmers act on every day. We're shifting from individuals carrying whole systems to teams that share them, and we're growing in close partnership with our product organization. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 10+ years in software engineering, including 5+ years managing engineers and at least 2 years managing managers. You reached a senior engineering level as an IC first
- A track record of scaling an engineering org at a startup through a growth phase, ideally from around 10 to 30+ engineers, including splitting teams and adding a management layer as you went
- Managers you can point to: people you hired or promoted into management and developed into strong leaders
- Experience building engineering hiring processes that attract strong talent, including calibrating interviewers and closing senior candidates
- Experience leading delivery across several products or teams at once, and balancing customer-facing roadmap work against platform and infrastructure investment
- A strong partnership record with product leaders: you've worked as an equal partner to a head of product, not as an order-taker or a gatekeeper
More about this role
Feanix is rebuilding animal breeding from the genome up.
We’re a YC-backed startup using whole-genome sequencing and custom ML models to help dairy farmers make better breeding and herd management decisions. Our technology is genuinely novel: we can sequence a full genome from a single hair at a fraction of traditional industry costs, our models achieve ~90% prediction accuracy on traits where existing approaches sit closer to ~30%, and we’re pioneering farm-specific genomic predictions that turn genetics into practical, actionable decisions.
That technology is translating into real adoption. In a short time, we’ve grown to serve roughly 1% of the U.S. dairy industry, with many customers in the pipeline. We started with dairy because our founders grew up on dairy farms and understand firsthand the problems we’re solving. But genetics is foundational to every agricultural industry, and dairy is only the beginning.
We’re building Feanix with a small, high-caliber team where people have meaningful ownership and work end to end. There are no unnecessary layers and very little room for busywork — just difficult problems at the intersection of biology, data, and software that haven’t...
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