Member of Deployed Staff, Forward Deployed Engineer

FactoryOur mission is to create a world where software builds and improves itself. We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle. In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).About the RoleFactory is on the cutting edge of software development. We create and deploy AI solutions to accelerate engineering workflows across the world's most innovative companies. We are actively looking for Member of Deployed Staff, Forward Deployed Engineers to ensure our customers have seamless experiences with Factory's technology, optimizing integration to drive meaningful results—from improved developer efficiency to accelerated product delivery.As our customer base rapidly grows, you'll report directly to the CEO and lead Factory's highest-impact customer implementations and special engineering projects. This role sits at the intersection of engineering, product strategy, customer success, and go-to-market, offering you the deepest exposure across multiple aspects of our business.What You Will Do and AchieveLead end-to-end implementation and integration of Factory's platform into customer engineering environments, directly partnering with customer teams to design robust, optimized workflows and build successful, long-term partnershipsAct as the CEO's primary technical lead on customer engagements, frequently traveling on-site to champion rapid product adoption, solve complex engineering challenges, and reduce customer time-to-valueLead special engineering projects that expand Factory's product capabilities, directly influencing the product roadmap and ensuring alignment with customer needsRespond rapidly to customer needs, which may include integrating with new systems, troubleshooting and fixing critical issues in diverse codebases, or innovating on the fly to leverage Factory in novel ways that solve customers' specific problems.Deeply understand our customers' use cases and develop the tooling and documentation necessary to support their growth at scaleWork closely with Product, Engineering, Sales and Operations, acting as a bridge between our customers and our internal teams, translating customer feedback into actionable product improvements and collaborating closely with internal teams to implement these enhancements swiftly and efficientlyContinuously learn and stay updated on the latest in software development practices, tools, and technologies to ensure Factory remains at the forefront of automation and AI in engineeringQualificationsIdeal candidates will have 3-10 years of experience, preferably with a background in companies known for their innovation in AI and software engineering, such as Palantir, OpenAI, Hugging Face, Applied Intuition, and GleanDemonstrable capability to quickly grasp new technologies, programming languages, and software development practices. Proficiency across a broad tech stack is highly valued, as is the ability to make code changes across various parts of the Factory codebaseStrong problem-solving abilities, including quickly diagnosing, debugging, and resolving technical challenges in customer-facing rolesExcellent communication and interpersonal skills, with proven experience building positive relationships and effectively collaborating with technical and non-technical stakeholdersA hunger for learning and a drive to continuously improve, both in terms of personal skills and the product's value to customers. Must be motivated, proactive, and capable of thriving in a fast-paced, evolving startup environmentThis is an in-office position (5 days/week).