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Senior Forward Deployed Engineer

$180K - $250K Remote Senior Posted May 30, 2026

Role Description

About ForgeVista

ForgeVista deploys AI inside real businesses: production systems that change how work gets done, not slide decks or proofs of concept. Our forward-deployed teams embed with operating companies to build, ship, and scale AI at startup speed with enterprise quality. We work AI-first and CLI-native, and we hire for evidence, not pedigree.

Three things define how we work: AI Now (we ship with AI daily, not "someday"), CLI Native (the terminal is our cockpit, every role, every person), and High Agency (you own the outcome and move without waiting for permission).

Before you apply, please read our culture deck: https://forgevista.ai/culture — our culture isn't aspirational, it's how we actually operate. If it doesn't resonate, this probably isn't the right fit.

Full role, time-allocation, and skills map: https://forgevista.ai/careers/senior-forward-deployed-engineer

The role ------------

You'll run client engagements end to end: set the technical and delivery strategy, make the customer successful, and make the engineers around you better. You still build and stay in the CLI daily, and you own the outcome of the whole engagement, not just a workstream. Remote-first, with travel set by each client (fully remote to ~25–50% on-site).

How we work: ship with AI daily, live in the CLI, and operate with high agency. Please read our culture deck before applying.

What you'll do ------------------

  • Lead discovery with client operators and executives; map the real workflow and find where AI creates outsized impact
  • Architect multi-workstream deployment plans and define measurable "done"
  • Build eval frameworks that prove the system works against acceptance criteria the client can verify
  • Unblock other engineers by pairing in the CLI, then turn the fix into a reusable pattern
  • Run executive reviews in business terms: hours saved, error rates, adoption
  • Codify deployment patterns into playbooks the next engagement starts from

What we look for --------------------

  • 5–8 years spanning business operations and AI-powered delivery
  • A track record of leading engagements or deployments end to end
  • Deep CLI fluency; you pair with AI agents and build reproducible workflows by default
  • Ability to scope ambiguous problems, set acceptance criteria, and ship solutions that stick
  • Experience leveling up other team members, formally or informally
  • Executive presence: present to a C-suite and debug a pipeline in the same afternoon

We hire on outcomes, not titles. Show us an engagement you led, including one that went sideways and what you changed.

Nice to have ----------------

  • Your own frameworks or patterns for recurring deployment challenges
  • Experience standing up a delivery pod (strategist + builders + AI agents) around 1–2 high-leverage use cases

Compensation & logistics -----------------------------

  • $180K–$250K base, benchmarked and paid regardless of outcomes, plus Sprint Point Velocity incentives tied to engagement outcomes
  • Health, dental, and vision coverage, plus a professional-development budget
  • Remote-first; travel depends on the client (fully remote to ~25–50% on-site)
  • To apply: share a case study or portfolio of an engagement you've led

If you're tired of organizations that move too slowly or mistake strategy for execution, we should talk.

*ForgeVista is an equal opportunity employer. We evaluate candidates based on demonstrated ability and proven immersion — not pedigree or credentials.*

The pay range for this role is:

180,000 - 250,000 USD per year(Remote)

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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