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Feanix

Director, Software Engineering

Feanix

. Lead and support engineering managers, providing context, support, expectations, cross-team unblocking, and accountability .

Posted 10/28/2026full-timeRemote • United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in scaling engineering organizations, leading teams through growth phases, and establishing effective hiring and onboarding processes. Proficient in AI-native engineering practices and fostering strong partnerships across product, hardware, and science teams.

Highest-signal resume keywords
10+ Years In Software Engineering5+ Years Managing EngineersExperience Scaling Startup Engineering OrganizationsDeep Fluency With AI-Native EngineeringStrong Partnership Experience With Product Leaders

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentEngineering ManagementTeam SplittingHiring ProcessesPerformance Review SystemsIncident ResponseArchitecture-Oriented Team BoundariesSpec-First DevelopmentQuality VerificationDelivery Across Multiple Products
Soft Skills
Clear Written CommunicationJudgment To Report StatusRisk AssessmentTradeoff Analysis
Tools & Technologies
AI ToolsCI ToolsIncident Management Systems
Industry Keywords
AgricultureBiologyGenomicsPhysical IndustriesRemote-First Engineering

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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