Eliza

GTM Forward Deployed Engineer

Eliza
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3 months ago
USA (city not specified)Senior

Responsibilities

  • Partner with sales to run a high-quality pre-sales motion, qualify opportunities, and provide technical credibility during client discussions.
  • Translate client business goals into technical architectures, orchestration frameworks, data-access methods, model selections, engagement scope, and delivery phases.
  • Build and deliver technically defensible proofs of concept that demonstrate value and support deal wins.
  • Author clear statements of work and develop estimates for effort, timelines, and pricing with delivery leads.
  • Create templates, playbooks, and repeatable processes for moving opportunities from initial conversation to signed statement of work.

Requirements

  • Demonstrated ability to communicate effectively while balancing client perspectives with commercial interests.
  • Deep fluency across LLMs, databases, orchestration tools, and cloud APIs, including the ability to select appropriate models for specific use cases.
  • Hands-on ability to build and deliver proofs of concept rather than only describe solutions.
  • Ability to partner naturally with sales and focus on client ROI and successful deal outcomes.
  • Comfort working with ambiguity and at an early-stage company.
  • Preferred experience in pre-sales, solutions engineering, or forward-deployed roles at a consulting or AI services firm.
  • Preferred experience authoring statements of work and estimating effort, timelines, and pricing.

Benefits

  • Competitive compensation.
  • Equity options in a growing AI services company.
  • Flexibility to work across industries and problem domains.
  • Collaborative, mission-driven team focused on the real-world impact of AI.

Categories

Forward DeployedSolutions Engineering
Eliza

About Eliza

51-200 employees

Eliza is a New York–based technology services firm that designs and delivers enterprise AI solutions. The company helps organizations adopt ChatGPT Enterprise, build custom LLM integrations and agents, and implement predictive analytics and intelligent automation. It operates on a consulting and implementation model, partnering across industries to move prototypes into production; privately held with a headquarters in New York City.

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