Lead Full Stack Engineer - WorkHero at Workshop Venture Partners

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Full Stack Development, Backend Systems, Infrastructure, AI, LLMs, Technical Leadership, Product Sense, Communication Skills, Workflow Engines, Event-Driven Architectures, Startup Experience, Mentoring, HVAC Knowledge

Industry

Venture Capital and Private Equity Principals

Description

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. We have exciting traction and just closed a $5M seed round to expand our engineering and product organization, as well as add additional services. We’re looking for the technical leader who can help drive our next chapter of growth. About WorkHero Tens of thousands of small HVAC contractors—who keep our homes comfortable and enable the climate transition—are drowning in administrative work. Legacy software is clunky, full-time admins are costly, and owners spend over 20 hours a week on paperwork. WorkHero is changing that. Our platform combines agentic AI with human-in-the-loop operations to autonomously handle the back-office workflows that crush small business owners — from invoicing, permits, and rebates to pricebooks and warranty registration. Instead of forcing contractors to learn new tools, our AI agents do the work — executing complex administrative tasks end-to-end while human account managers provide oversight and operational coaching. The result: real work gets done, autonomously — helping small contractors grow profitable, resilient businesses and accelerating heat pump adoption nationwide. We’re proud to have the support of Navitas Capital, Workshop Ventures, York IE, and strategic angels including a former ServiceTitan executive. Our advisors include Chad Laurans (Founder of SimpliSafe) and Gerald Chertavian (Founder of Year Up). The Role We're hiring a Lead Full Stack Engineer to help build the technical foundation of our agentic back office platform. You'll be a foundational member of our growing engineering team, working directly with our CTO and founders to design and build the workflow engine and platform systems that power WorkHero. This is a high-impact role where you'll architect scalable backend systems, build AI-enabled workflows, and create tools that supercharge our operations team. You'll have significant ownership and autonomy, with a clear path to technical leadership as we scale. You Will Design and build our workflow engine and platform core—creating scalable, event-driven systems that orchestrate complex multi-step workflows and AI-enabled automation for real-world business processes Architect and implement AI-powered systems—building robust integrations with LLM APIs, designing agent logic and prompts, and creating tools that blend human expertise with AI capabilities Partner with operations and product teams—translating business needs into elegant technical solutions and building internal tools that make our office managers more effective Own technical decisions in your domain—making architectural choices, balancing speed with quality, and contributing to engineering best practices as a foundational team member What We're Looking For We're looking for an innovative, expert engineer who can take ownership of complex technical problems and deliver high-quality solutions. You're excited about building systems that blend human expertise with AI capabilities, and you want to be a foundational member of a high-growth startup. You Have 5+ years of software engineering experience with a track record of building and shipping production systems Strong full-stack fundamentals with a spike in backend & infrastructure. You’ve built scalable backend systems, but have also worked with modern frontend frameworks Demonstrated ability to own technical projects end-to-end from design through deployment Familiarity with AI & LLMs: You have worked with or experimented with LLMs and AI tools and are aware of how they are changing software Strong product sense and communication skills: you understand user needs and can collaborate effectively across technical and non-technical teams Comfort with ambiguity and fast-moving environments: you thrive at early-stage companies where you might need to figure things out on your own and wear many hats Bonus / Nice-to-haves Preference for those located in greater Boston area or willing to relocate Experience building workflow engines, orchestration systems, or event-driven architectures Hands-on experience working with LLM APIs or building AI-powered features Previous startup experience, especially early stage (pre-Series A) Experience mentoring engineers or growing into technical leadership roles Knowledge of the skilled trades, HVAC, or similar service industries Our Tech Stack We currently run on a modern Typescript stack. Here's a glimpse of what you'll be working with: Typescript Frontend & Backend with React & Koa in NodeJS NX Monorepo with shared typing & libraries MongoDB Atlas AWS - Docker in ECS, S3, Hosted RabbitMQ IAC Managed in Terraform Firebase Auth & GCP services AI Tools: Anthropic, OpenAI, Gemini, Deepgram Why Join Us Shape the future of a high-growth, venture-backed company as a critical member Be at the forefront of Human-AI systems, building transformative tech that scales small business support in ways previously unattainable Build tech that makes life easier for thousands of small business owners Competitive salary, meaningful equity, and full benefits Flexible, hybrid work environment A mission-driven team that values impact and integrity We are committed to creating a diverse and inclusive work environment. We welcome applicants from all backgrounds and experiences.

Responsibilities

Design and build the workflow engine and platform core, creating scalable systems that orchestrate complex workflows. Architect and implement AI-powered systems, integrating with LLM APIs and designing agent logic.