Director, Software Engineering
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Job Description
Director of Software Engineering scaling AI-native teams and software for Feanix’s genomic dairy-farming platform. Leading managers, delivery, architecture, hiring, and farm-focused product growth.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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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