Senior Manager of Software Engineering

Foodsmart; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Paid health insurance

Flexible working location

Unlimited PTO

401k, bonus & stock options

Job summary

Foodsmart’s Engineering, Product, and Design team seeks a Senior Engineering Manager to lead an org of ~16 engineers and set technical direction for a HIPAA/SOC 2–aware web stack. You will partner with product and design to turn roadmaps into well-architected systems, champion AI adoption, and raise the bar on quality and velocity.

You will own four AI pods end-to-end, manage cross-pod dependencies, and ensure delivery aligns with measurable member and business impact while mentoring engineers

Qualifications

• 10+ years of software engineering experience, including 5+ years managing engineering teams.
• Experience leading 10+ engineers in startup or high-growth environments.
• Experience in regulated environments (healthcare/digital health) is a plus.
• Hands-on AI-native development experience with agentic systems and LLM integrations.
• Excellent mentorship and coaching skills.
• Strong communication with technical and non-technical stakeholders.
• Experience in Agile/Lean practices (Scrum/Kanban) with Jira/Confluence.

Responsibilities

• Lead AI-native development and four AI pods end to end.
• Manage cross-pod dependencies and mitigate delivery risks.
• Shape scalable architecture across React.js/TypeScript, Node.js, AWS, PostgreSQL, Redshift.
• Stay outcome-focused, tying engineering decisions to member and business impact.
• Champion AI adoption across tooling and product features.
• Raise engineering quality with testing, observability, CI/CD.
• Mentor engineers and tech leads; build future tech leadership.
• Communicate clearly with stakeholders across the organization.

Skills

AI-native development

Leadership

Architecture reviews

Cross-functional collaboration

Mentorship

Communication

Agile/Lean practices

AWS

PostgreSQL/Redshift

Docker/Kubernetes

React/TypeScript

HIPAA/SOC2 awareness

Tools

Jira

Confluence

Cursor

Figma

Google Workspace

Loom

AWS

PostgreSQL

Redshift

Docker/Kubernetes

GraphQL

RESTful API

Job description

• Foodsmart’s Engineering, Product, and Design (EPD) team builds the telenutrition and foodcare platform used by members, providers, and partners. As a Senior Engineering Manager, you will lead and grow an engineering organization of approximately 16 engineers, setting technical direction and management practices that keep the team shipping reliable, high-quality software
• You’ll partner closely with product and design to translate roadmap priorities into well-architected systems, champion the adoption of AI throughout our engineering practices, and raise the bar on our full-stack web platform
• 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

Tools we use:

• Jira
• Confluence
• Cursor
• Figma
• Google Workspace
• Loom
• AWS
• PostgreSQL
• Redshift
• modern CI/CD and observability tooling

Benefits

• Paid health insurance
• Flexible working location
• Flexible working hours
• Unlimited PTO
• 401k, bonus & stock options

A people-first, hands-on leader who invests in coaching engineers at every level and has led organizations of a similar size (10+ engineers)Genuinely curious about AI, with real interest in its application to both engineering workflows and product development , not just familiarity with the termAn outcome-driven operator who ties engineering decisions back to measurable business and member impactCalm under pressure, with crisp written, verbal, and executive communication, and comfortable making and documenting decisionsA systems thinker who brings clarity to ambiguity, balances speed against risk, and earns trust across both technical and non-technical stakeholdersHighly adaptable, quick to pivot as priorities shift, consistently responsive, and detail-oriented without losing sight of the bigger pictureDeep working knowledge of our core stack: React.js, TypeScript, Node.js, JavaScript, AWS (Lambda, EC2, RDS, SQS,A proven track record managing multiple engineering teams simultaneously, with clear accountability for delivery, quality, and velocityA strong outcome/value-oriented mindset, with a track record of tying engineering work to business impactExperience managing cross-team dependencies and risk in a fast-moving, multi-pod environmentStrong, 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 featuresA track record of setting technical direction and making sound architecture decisions for scalable, full-stack web applicationsExcellent mentorship and coaching skills, with genuine investment in developing peopleDynamoDB), PostgreSQL, and Redshift, along with Docker/Kubernetes for containerized, orchestrated deployments, and familiarity with GraphQL and RESTful API designExperience running engineering delivery with Agile/Lean practices (Scrum/Kanban) using tools like Jira and Confluence10+ 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 communication and collaboration skills across technical and non-technical stakeholdersExperience in regulated environments (healthcare/digital health preferred), with HIPAA/SOC 2 awareness and audit-friendly change management, is a plus