
11 - 50 employees
Founded 2024
🌾 Agriculture
🧬 Biotechnology
🤖 Artificial Intelligence
Agriculture • Biotechnology • Artificial Intelligence
Feanix is a farm-focused biotech and software company that automates genetic and herd-management decisions for dairy operations. Its Autopilot product combines whole-genome sequencing, herd-management data (DairyComp, milk records, feed, health, activity monitors), and farm-specific economics into a machine-learning prediction engine that prices every cow on the farm’s actual economics. Autopilot converts trillions of datapoints into ranked, actionable recommendations (breed, beef, DNB, sell, cull, watchlist) that sync into existing farm systems and prioritize profit rather than generic genetic rankings. The platform is built to reduce low-value replacements, improve semen allocation, maintain herd-size targets, and accelerate economic gain for farms.
🔥 0 minutes ago
🇺🇸 United States – Remote
đź’µ $200k - $230k / year
⏰ Full Time
đź”´ Lead
🧑‍💻 Full-stack Engineer
đź‘» Ghost score 0%
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11 - 50 employees
Founded 2024
🌾 Agriculture
🧬 Biotechnology
🤖 Artificial Intelligence
Agriculture • Biotechnology • Artificial Intelligence
Feanix is a farm-focused biotech and software company that automates genetic and herd-management decisions for dairy operations. Its Autopilot product combines whole-genome sequencing, herd-management data (DairyComp, milk records, feed, health, activity monitors), and farm-specific economics into a machine-learning prediction engine that prices every cow on the farm’s actual economics. Autopilot converts trillions of datapoints into ranked, actionable recommendations (breed, beef, DNB, sell, cull, watchlist) that sync into existing farm systems and prioritize profit rather than generic genetic rankings. The platform is built to reduce low-value replacements, improve semen allocation, maintain herd-size targets, and accelerate economic gain for farms.
• Lead and support engineering managers, providing context, support, expectations, cross-team unblocking, and accountability • Hire additional engineering managers as the organization grows • Design and scale the engineering organization with the CTO and fellow directors • Decide when and how teams split and define architecture-oriented team boundaries • Build and refine engineering hiring and onboarding processes • Make product delivery predictable and report progress based on outcomes reaching farms • Protect platform and infrastructure investment alongside customer-facing work • Set standards for AI-native engineering, including specifications, evaluations, testing, CI, and security • Decide where coding agents should be used and improve specifications or harnesses when agent output fails • Establish escalation paths, incident response, release discipline, and ownership clarity • Shape technical leveling, planning cycles, and performance review systems • Partner with Product, Hardware, Farm Success, Farm Ops, and science teams • Join farm visits and stay close to customers • Lead software development while reporting to the CTO
• 10+ years in software engineering, including 5+ years managing engineers and at least 2 years managing managers • Reached a senior engineering level as an individual contributor first • Track record of scaling a startup engineering organization through a growth phase, ideally from around 10 to 30+ engineers • Experience splitting teams and adding a management layer during organizational growth • Hired or promoted managers and developed them into strong leaders • Experience building engineering hiring processes, calibrating interviewers, and closing senior candidates • Experience leading delivery across several products or teams simultaneously • Experience balancing customer-facing roadmap work with platform and infrastructure investment • Deep fluency with AI-native engineering, including spec-first and agentic development, specs, evals, verification, and quality • Uses AI daily in leadership work • Strong partnership experience with product leaders • Experience partnering with hardware or science leaders to deliver products spanning physical devices, data, and software • Clear written communication and judgment to report status, risk, and tradeoffs to the CTO, CEO, and board • Applicants must be authorized to work in the United States • Must be able to work west coast hours ideally • Preferred: experience leading ML, data-intensive, or decision-support products; platform re-architecture; software/hardware, sensors, or edge compute; remote-first engineering organizations; agriculture, biology, genomics, or physical industries
• Equity options • Medical coverage • Dental coverage • Vision coverage • 401(k) • Flexible PTO • Paid parental leave, including up to twelve weeks of paid leave and/or supplemental pay coordination with applicable state benefits • Pet insurance • Flexible, remote-friendly work environment • Reasonable accommodations throughout the application and interview process
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