[Hiring] Forward Deployed Engineer @forgd, inc.

Role Description

As an FDE, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability.

• Most engagements start in engineering.
• Work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance.
• Expand work by co-building agentic applications and modernizing legacy systems on the Claude developer platform.
• Partner with business stakeholders to deploy agents into core operations like sales, customer service, and finance.
• Build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment.
• Collaborate directly with Anthropic on customer engagements — joint working sessions, early access to product changes, and a direct line to their product and engineering teams.

Responsibilities

• Enable:
  • Lead Claude Code Labs and customer workshops.
  • Take customer teams from beginner to power user across Claude Code, Claude for Work, Cowork, and the developer platform.
  • Codify deployment patterns and feed them back to forgd's methodology and Anthropic's product teams.
• Transform:
  • Lead discovery into customer environments — engineering toolchains and workflows, business operations, and organizational dynamics — and turn that into clear technical plans.
  • Advise on how AI-native development changes existing engineering practices: issue management, branching, testing, code review, and security.
  • Guide adoption programs that scale Claude across engineering organizations and into business teams.
• Build:
  • Scope engagements: assumptions, risks, milestones, and dependencies.
  • Embed with customer teams to co-build agentic applications on the Claude developer platform.
  • Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack.

What Success Looks Like

• Customers move from proof-of-value to production.
• Engineering teams measurably change how they ship software.
• Customers become references.
• Accounts expand on the strength of the work.

Qualifications

• 3–5 years in a customer-facing technical role — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical Consultant — or in a hands-on engineering role as a Software Engineer or Product Engineer.
• Software development experience in a high-scale startup or enterprise environment; you know what it takes to write, ship, and operate production code.
• Production experience with LLMs — prompt engineering, agent design, and evaluation frameworks.
• Power user of Claude Code or equivalent AI coding assistants; you live in AI-native development yourself.
• Familiarity with enterprise development toolchains, CI/CD, and modern SDLC practices, and cloud-native deployment on AWS, GCP, or Azure.
• Communication skills that work across the room — individual contributors, engineering leadership, and business stakeholders.
• High agency and comfort with ambiguity; you operate autonomously in customer environments.

Nice to Have

• Background in professional services or consulting.
• Track record leading developer productivity or developer experience at scale.
• Vertical experience in financial services, healthcare, or other regulated industries.
• Experience driving organizational change.

Benefits

• Work at the frontier: Direct partnership with Anthropic — joint engagements, early access to product changes, and working sessions with their Applied AI team.
• Founding team: You shape how we work and grow as we scale.
• Remote: Fully remote across North American and European time zones.
• Compensation and benefits: Competitive salary, equity, and full benefits.

How to Apply

We encourage you to apply even if you don't meet every qualification. Research shows people from underrepresented groups often hesitate unless they meet every requirement, and we don't want you to exclude yourself prematurely. If you're excited about AI-native engineering and want to help enterprises change how they build software, we'd love to hear from you.