
11 - 50 employees
Founded 2024
πΎ Agriculture
𧬠Biotechnology
π€ Artificial Intelligence
Agriculture β’ Biotechnology β’ 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 farmβs 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.
π₯ 58 minutes ago
πΊπΈ United States β Remote
π΅ $150k - $180k / year
β° Full Time
π΄ Lead
π Onboarding Specialist
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11 - 50 employees
Founded 2024
πΎ Agriculture
𧬠Biotechnology
π€ Artificial Intelligence
Agriculture β’ Biotechnology β’ 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 farmβs 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.
β’ Own the farm onboarding lifecycle end to end-from contract signature through initial data ingestion, farm configuration, first report delivery, and steady-state handoff. β’ Design and manage structured onboarding projects for each new farm, with clear milestones, owners, and timelines that are visible to both the internal team and the client. β’ Build repeatable onboarding playbooks that reduce time-to-value for each new farm and scale across different farm sizes, herd management systems, and data environments. β’ Coordinate cross-functional dependencies during onboarding-genomic sample collection, data pipeline setup, configuration validation, and client training. β’ Ensure farm configurations are accurate, well-documented, and auditable before first report delivery. β’ Run the operational cadence for the onboarding team; weekly planning, onboarding status reviews,and retrospectives β’ Define and track KPIs (onboarding time-to-value, milestone hit rate, configuration accuracy and onboarding satisfaction) and hold the team to them. β’ Manage the portfolio of active onboarding projects across all client farms, ensuring nothing slips through the cracks as farm count grows. β’ Identify bottlenecks, dependencies, and scaling risks in current workflows and design solutions before they become problems. β’ Build the systems and tooling that allow the onboarding team to scale from tens of farms to hundreds. β’ Hire, manage, and develop a high-performing onboarding team, starting with Onboarding/Ops Analysts and scaling headcount as the business grows. β’ Set clear goals, standards, and accountability for the team's output-onboarding velocity, report quality, turnaround time. β’ Run structured 1:1s, performance reviews, and career development conversations. β’ Foster a culture of ownership, precision, and continuous improvement. β’ Build feedback loops so that learnings from each onboarding cycle improve the next one. β’ Partner with the commercial team to set realistic onboarding timelines and manage client expectations during implementation. β’ Work closely with engineering and data science to improve internal tools, flag pipeline issues, and prioritize onboarding-facing product work. β’ Partner with the CEO and commercial team on capacity planning, pricing inputs, and go-to-market readiness for new farm segments. β’ Represent onboarding in leadership discussions and contribute to company-level strategy. β’ Build and maintain a comprehensive onboarding knowledge base (Gitbook, Notion, or similar) covering every recurring workflow. β’ Standardize how the team documents decisions, escalations, and process changes so institutional knowledge doesn't live in anyone's head.
β’ 7-10+ years of experience in operations, implementation or customer onboarding with at least 3 years managing a team in a fast-paced, data-intensive environment. β’ Experience owning customer onboarding or implementation programs, ideally for a technical or data-driven product. β’ Proven track record building operational processes and teams from scratch at a startup or high-growth company (Series A-C preferred). β’ Strong project management skills-you've managed complex, multi-stakeholder implementations with many moving parts and kept them on track. β’ Deep fluency with data-you can dig into a messy dataset, spot what's wrong, and design a system so it doesn't happen again. Comfortable with Excel, SQL, Python, or similar tools. β’ Strong people manager who develops talent, sets clear expectations, and creates accountability without micromanaging. β’ Excellent written communicator-you write SOPs, docs, and postmortems that are clear, concise, and actually useful. β’ Highly organized with a bias toward systems thinking-you solve classes of problems, not individual fires. β’ Self-directed and decisive-you operate well with limited guidance and make good calls under ambiguity. β’ Ability to travel within the United States up to 25% of the time to customer locations and our headquarters
β’ medical, dental, and vision coverage β’ retirement savings support through CalSavers for California-based employees β’ flexible paid time off β’ paid parental leave, including up to four weeks of paid leave and/or supplemental pay coordination with applicable state benefits
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