Embed on-site with customers to scope workflows, prototype fast, and ship production-grade software on their infrastructure. In parallel, build the reusable tooling that makes the next deployment faster than the last.
Location In-person only. TBD based on travel.
Compensation $100K+
Equity TBD
Experience 0–1+ years
- new grads welcome
What We Do
AI automation for manufacturing. We help factories eliminate paper, manual data entry, and disconnected systems, replacing them with intelligent workflows that learn directly from the floor. Our software connects machines, ERPs, and people in real time, turning tribal knowledge, production, and quality data into systems that run smoother, faster, and smarter. Backed by the founders of HubSpot, Typeform, Apollo, Hustle Fund, Brickyard, and more.
Our Mission
We are here to reindustrialize America. That means bringing world-class technology back to the factory floor, empowering operators, restoring pride in American manufacturing, and helping people do their best work again.
About The Role
On-site, forward-deployed, end-to-end.
Success is measured by customer outcomes (time-to-value, adoption, reliability) and platform leverage (reusable modules merged upstream).
Do not apply if you
- Will not relocate or travel.
- Are unwilling to work in person and put in long hours.
- Are not passionate about working closely with people.
- Do not want to reindustrialize America.
What you'll do
- Embed with operators and stakeholders to map workflows, define success criteria, and iterate from prototype to production directly on customer infrastructure.
- Build across the stack with Python, TypeScript, React, Postgres, and containerized services (Docker/K8s) using Terraform for infrastructure as code.
- Own the full lifecycle: scoping, prototyping, hardening, deployment, documentation, enablement, and knowledge transfer.
- Operate and improve: instrument services, set SLAs and evals, optimize latency and reliability, and debug complex enterprise setups.
Build for reuse (platform & tooling)
- Create monorepo-friendly scaffolds (Turborepo/Nx patterns), code-generation templates, and CI/CD blueprints for repeatable, high-quality deployments.
- Ship internal SDKs and adapters for common systems (auth, data ingestion, messaging, observability), plus CLI tools to spin up new services quickly.
- Establish golden paths for linting, testing, release and versioning, and environment bootstrapping.
- Channel field learnings into the core Harmony platform, deciding when to customize and when to productize.
Partner cross-functionally.
- Work with GTM and Sales teams to unblock integrations, activate accounts, and expand usage through tangible technical outcomes.
- Contribute documentation, runbooks, and training to enable both customer and internal teams.
Tech stack
- Languages & frontend: Python, TypeScript, React.
- Data & services: Postgres, REST/GraphQL, queues, caching.
- Infrastructure: Docker, Kubernetes, Terraform (AWS/GCP preferred).
- Developer experience: Monorepo (Turborepo/Nx), CI/CD, testing, observability (logs, metrics, traces).
- Nice to have: AI/LLM productionization, batching, evals, latency optimization, guardrails.
Minimum Qualifications
- 0–1+ years building and shipping production systems with strong CS fundamentals. New college grads are welcome to apply.
- Proficient in Python and TypeScript/React; comfortable moving across APIs, services, front end, and data.
- Hands-on experience with Docker/K8s, Terraform, CI/CD, and observability in production environments.
- Experience integrating with enterprise systems (SSO/OIDC/SAML, data sources) under security and compliance constraints.
- Excellent communication with non-technical stakeholders; thrives in ambiguous, customer-facing, on-site work.
Preferred Qualifications
- Prior forward-deployed, solutions, or consulting experience on customer infrastructure.
- Monorepo expertise (Turborepo/Nx), trunk-based development, semantic versioning, internal CLIs/codegen.
- Experience building developer platforms, SDKs, abstractions, templates, and golden paths.
- AI/LLM delivery experience: eval design, batching, latency optimization, and prompt/tool hygiene.
- Change management and training: enabling customer teams to adopt new systems.
Success metrics
- Time-to-value: speed from scoping to first production deployment.
- Reliability and performance: latency, uptime, and error budgets achieved in customer environments.
- Customer impact: usage growth, references, and expansion driven by deployed solutions.
- Platform leverage: number and impact of reusable modules, scaffolds, and tools reused across accounts.
Culture & perks
- In-person only full-time, with frequent travel to other customer sites.
- Free housing if deployed.
- Gym, sauna, and cold plunge access, plus a personal trainer two times a week. HQ is in Chattanooga, TN.
- High-equity compensation.
- Work directly with the founders every day with full ownership.
- High-trust, high-intensity environment built on craft, speed, and impact.
- Often, weekly team dinners with the community.
Think this is you?
Apply
An AI-native operating system for American manufacturing. Built alongside the plants that run it.
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