foodsmart - Senior Manager, Software Engineering
Requirements
• 10+ years of software engineering experience, including 5+ years managing engineering teams, with a track record leading 10+ engineers (startup or high-growth environment preferred). • Strong, hands-on AI-native development experience building products with agentic systems, LLM integrations, or AI-first architectures and a track record applying AI to both engineering workflows and product features. • A proven track record managing multiple engineering teams simultaneously, with clear accountability for delivery, quality, and velocity. • Experience managing cross-team dependencies and risk in a fast-moving, multi-pod environment. • Experience running engineering delivery with Agile/Lean practices (Scrum/Kanban) using tools like Jira and Confluence. • A track record of setting technical direction and making sound architecture decisions for scalable, full-stack web applications. • Deep working knowledge of our core stack: React.js, TypeScript, Node.js, JavaScript, AWS (Lambda, EC2, RDS, SQS, • DynamoDB), PostgreSQL, and Redshift, along with Docker/Kubernetes for containerized, orchestrated deployments, and familiarity with GraphQL and RESTful API design. • A strong outcome/value-oriented mindset, with a track record of tying engineering work to business impact. • Excellent mentorship and coaching skills, with genuine investment in developing people. • Strong communication and collaboration skills across technical and non-technical stakeholders. • Experience in regulated environments (healthcare/digital health preferred), with HIPAA/SOC 2 awareness and audit-friendly change management, is a plus. • Jira, Confluence, Cursor, Figma, Google Workspace, Loom, AWS, PostgreSQL, Redshift, modern CI/CD and observability tooling.
Responsibilities
• Lead AI-native development: Bring strong, hands-on AI experience to guide teams building AI-native software products architected around AI from the ground up spanning agentic workflows, LLM-powered services, and AI-assisted engineering practices, not just AI-adjacent features. • Own four AI pods end to end: Directly manage four AI-focused pods, each accountable for delivering specific features and outcomes. You own execution, delivery, quality, and velocity across all four. • Manage cross-pod dependencies and risk: Identify where pods' roadmaps intersect, sequence work to avoid bottlenecks, and proactively surface and mitigate risks before they threaten delivery. • Shape architecture: Participate in and help drive architecture reviews across our React.js/TypeScript, Node.js, AWS, PostgreSQL, and Redshift stack, ensuring decisions hold up for scalability, reliability, security, and maintainability, including in a HIPAA/SOC 2-aware environment. • Stay outcome-focused: Keep teams anchored to member and business impact rather than pure output, helping them prioritize the work that moves the needle. • Champion AI adoption: Drive the practical use of AI across engineering from AI-assisted development tooling to AI-powered product features, keeping the org current with emerging tools and practices. • Drive engineering excellence: Raise the bar on code quality, testing, observability, incident response, and CI/CD practices across the pods. • Mentor and develop talent: Coach engineers and tech leads at all levels, building the next generation of technical leadership inside the org. • Communicate and collaborate: Act as a clear, consistent communicator and trusted partner across engineering, product, design, and leadership, translating technical realities for non-technical stakeholders and vice versa. • A people-first, hands-on leader who invests in coaching engineers at every level and has led organizations of a similar size (10+ engineers). • A systems thinker who brings clarity to ambiguity, balances speed against risk, and earns trust across both technical and non-technical stakeholders. • Calm under pressure, with crisp written, verbal, and executive communication, and comfortable making and documenting decisions. • Genuinely curious about AI, with real interest in its application to both engineering workflows and product development , not just familiarity with the term. • Highly adaptable, quick to pivot as priorities shift, consistently responsive, and detail-oriented without losing sight of the bigger picture. • An outcome-driven operator who ties engineering decisions back to measurable business and member impact.
Benefits
• 🏠 Remote-First Culture — Work from anywhere with a flexible schedule. • 🏝️ Unlimited PTO — We prioritize rest and recharging. • 🏥 Comprehensive Healthcare — Robust medical, dental, and vision coverage. • 💰 Financial Wellness — 401k & performance bonuses • 🥗 Personalized Nutrition — Access to our network of Registered Dietitians.
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