Director, Software Engineering

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

💵 $200 000 - $230 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 5%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Feanix

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2024

🌾 Agriculture

🧬 Biotechnologie

🤖 Intelligence artificielle

Agriculture • Biotechnology • Artificial Intelligence

Feanix est une entreprise biotechnologique et logicielle axée sur les exploitations laitières qui automatise les décisions génétiques et de gestion des troupeaux. Son produit Autopilot combine le séquençage complet du génome, les données de gestion des troupeaux (DairyComp, archives laitières, alimentation, santé, moniteurs d'activité) et l'économie spécifique des exploitations pour créer un moteur de prédiction basé sur le machine learning qui évalue chaque vache selon l'économie réelle de la ferme. Autopilot convertit des billions de points de données en recommandations classées et exploitables (reproduction, viande bovine, DNB, vente, réforme, liste de surveillance) qui s'intègrent dans les systèmes existants de la ferme et priorisent le profit au lieu de classements génétiques génériques. La plateforme est conçue pour réduire les remplacements de faible valeur, améliorer l'allocation de semence, maintenir les objectifs de taille de troupeau et accélérer le gain économique pour les exploitations.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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