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Form Energy

Iron-air multi-day energy storage systems

Staff Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of experience building and shipping production software, with a track record of owning complex applications end to end.
  • Strong full-stack engineering skills, including a modern web framework such as React, Next.js, or TypeScript and a production back-end language and framework; Python and FastAPI are strongly preferred. Solid relational data modeling using PostgreSQL, SQLAlchemy, or equivalent is required.
  • Demonstrated command of AI-assisted and agentic development, and a track record of embedding AI or machine learning into applications and workflows to remove toil and create leverage.
  • Ability to enter unfamiliar domains, become fluent quickly, and ship; comfort serving as the sole or primary engineer on a system and owning its outcome.
  • Ability to model complex real-world domains in software by translating expert-held knowledge into correct, maintainable systems and enforcing data invariants at the data layer.
  • Ability to work directly with non-engineering domain experts in their environments, translate ambiguous problems into shipped software, and exercise judgment about what to build.
  • Solid engineering fundamentals, including version control with Git, automated testing, continuous integration and continuous delivery, and containerized deployment with Docker; Kubernetes is a plus.
  • A pragmatic, ownership-minded approach to shipping value quickly while recognizing when software needs to be built for long-term reliability.

Responsibilities

  • Embed with teams across research and development, manufacturing, field and commercial operations, and supporting functions to understand their problems firsthand and design and build software solutions.
  • Diagnose bottlenecks caused by missing software, manual processes, or brittle tooling; determine what is worth building and deliver it.
  • Lead adoption of AI-driven automation in assigned functions by prototyping and shipping AI-enabled tools and agents and driving user adoption within the company's AI-governance guardrails.
  • Own full-stack web applications, including React, Next.js, or TypeScript front ends; Python or FastAPI back ends; and PostgreSQL, from data model and user interface through production deployment and support for users.
  • Convert spreadsheets, notebooks, and tribal knowledge into correct, maintainable, owner-attributed systems that the organization can trust and build on.
  • Build governed, traceable data models with versioned, append-only revision history and role-based access so decision-driving assumptions and records are defensible and reconstructable.
  • Integrate with the Snowflake data platform, enterprise applications such as Oracle, Arena, and Jama, and shop-floor and operational systems while respecting authoritative system boundaries and not writing into systems the engineer does not own.
  • Ship reliable production software using containerized services, continuous integration and continuous delivery, and deployment on the internal Kubernetes platform, with observability, testing, and documentation.
  • Use AI-assisted and agentic development to increase delivery speed and quality.
  • Work in a prototype-to-product cycle by putting working software in front of users quickly, iterating with them, and hardening it without accumulating unmanageable technical debt.

Desired Qualifications

  • Experience as a forward-deployed, solutions, or embedded engineer, working alongside users rather than behind a backlog.
  • Experience building agentic or AI-automation systems for operational workflows and a point of view on where AI is appropriate.
  • Experience with operations research, optimization, or simulation, including linear or mixed-integer programming or discrete-event simulation.
  • Experience with enterprise data platforms such as Snowflake and dbt, including managing read-only versus writable system boundaries.
  • Experience integrating with ERP systems such as Oracle, PLM systems such as Arena, MES, or requirements-management systems such as Jama.
  • Experience with enterprise identity and single sign-on, including Microsoft Entra ID and OIDC.
  • Fluency in a technical domain adjacent to the company's work, such as hardware, manufacturing, energy, scientific computing, or laboratory and industrial environments.
  • Experience in a high-growth technology or first-of-a-kind manufacturing environment.

About the Company

Form Energy

Iron-air multi-day energy storage systems

Form Energy develops and sells energy storage systems designed for long-duration use in the electric grid. Its main product is an iron-air battery that can store electricity for up to about 100 hours, offering a cost-effective alternative to traditional power plants and enabling a fully renewable grid. The system works by storing energy chemically in iron and air, allowing electricity to be released when needed over multi-day stretches, with a focus on scalable manufacturing and system integration to meet utility and municipal needs. The company differentiates itself by pursuing low-cost, multi-day storage on a large scale, leveraging iron as a plentiful material to deliver affordable, reliable energy storage compared to conventional approaches. Its goal is to support deep decarbonization of the electric system by providing reliable, year-round renewable power through affordable energy storage and deployment alongside grid infrastructure.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$2.6B
Headquarters
Somerville, MA
Founded
2017

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