Lead Forward Deployed Engineer

🕒 July 29

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eliza

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• Own Portfolio Delivery Quality: Maintain a clear view of delivery status, risks, blockers, and priorities across assigned accounts • Set Technical Direction Across Engagements: Guide solution architecture and technical decision-making across multiple concurrent engagements • Coach and Develop the Field Team: Provide direct, timely, actionable feedback on technical execution, client communication, ownership, and judgment • Maintain Client Confidence: Serve as the senior technical and delivery presence for clients across your portfolio • Establish Execution Discipline: Define the right operating cadence for each account • Manage Delivery Risk and Escalation: Identify technical, staffing, scope, timeline, and client-alignment risks across the portfolio

🎯 Requirements

• 8+ years of software engineering experience, with meaningful time in client-facing or field delivery roles • Demonstrated ownership of delivery quality across multiple concurrent engagements or accounts • Deep hands-on technical credibility: strong Python, production AI/ML delivery, and sound architectural judgment. You still read the code • Proven experience developing engineers through direct, specific, timely feedback • Excellent executive and technical communication—credible with a client CTO and with an engineer on the same day • Deep comfort with modern cloud platforms (AWS, GCP, or Azure), CI/CD, and production deployment practices • Strong commercial awareness: you understand how delivery decisions affect account health and business outcomes

🏖️ Benefits

• Competitive compensation (salary + deployment bonuses or client uplift incentives) • Equity options in a growing AI services company • Fully remote work • Remote work perks include a WFH stipend and monthly lifestyle stipend • Real ownership of a client portfolio and the team delivering it • A leadership role that keeps you technical and in the field • Flexibility to work across industries and problem domains • A collaborative, mission-driven team passionate about the real-world impact of AI