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Salary: USD 175,000 - 215,000 / annual
Forgepoint is building AI workers for manufacturing back-office departments (quoting, purchasing, invoicing, sales coordination) to help US manufacturers compete globally. This is a client-facing technical role at the intersection of customers, product, and applied AI.
You will own customer agent deployments end-to-end: map workflows, prioritize requirements, write SOPs and prompts, build evals, configure tools and guardrails, launch with users, and improve performance over time. The work involves understanding how American manufacturers operate, turning messy real-world requirements into clear agent behaviors, and deploying reliable systems that deliver measurable value. You'll work with dirty PDFs, legacy data, tribal knowledge, and edge cases that break naive systems.
Key responsibilities:
- Lead agent deployments from discovery through configuration, go-live, quantified ROI, and ongoing improvement
- Map complex customer workflows and translate them into focused requirements, SOPs, prompts, tools, guardrails, approvals, and handoffs
- Build evals and test cases that measure agent quality, expose failure modes, and guide iteration
- Configure and launch agents, monitor real-world performance, investigate failures, and improve reliability
- Run customer workshops, communicate tradeoffs clearly, and close dependencies to keep deployments moving
- Learn complex customer domains quickly and advocate for customer needs with product and engineering teams
- Turn repeated deployment problems into reusable patterns, tooling, and product improvements
You'll work in person five days a week in NYC, travel to customer sites across the US, and collaborate directly with customer teams and internal product/engineering. The role is hands-on, fast-moving, and deeply user-centric.
Requirements:
- 4+ years of experience in software engineering or client-facing technical roles (forward deployed engineering, solutions engineering, implementation consulting)
- Technical strength: comfortable writing code, prompting LLMs, building evals, and learning new agent-engineering techniques
- Ability to scope ambiguous requirements, prioritize aggressively, and design simple solutions within real constraints
- Exceptional communication skills: run customer workshops, present with confidence, build trust from shop floor to executive team
- Highly organized and process-oriented: manage multiple deployments, track details, use metrics, close every loop
- Quick domain learning with customer empathy and product mindset
- Ambitious, resourceful, action-oriented, team-first; committed to strengthening American manufacturing
Bonus experience:
- Building and operating agentic systems in production
- Manufacturing or industrial/operationally complex settings
- Creating SOPs or leading change-management work
- Integrating and deploying third-party APIs or legacy systems
