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Turgon AI

Forward Deployed Engineer

Turgon AI

Forward Deployed Engineer collaborating on AI solutions at Turgon, bridging engineering and customer needs. Responsible for customer deployments and influencing product roadmap.

Posted 7/7/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong technical expertise in coding and LLM-based systems, with a focus on customer deployment and troubleshooting of AI solutions. Capable of synthesizing customer feedback into actionable insights for product development while effectively communicating complex technical concepts to diverse stakeholders.

Highest-signal resume keywords
7+ Years Engineering ExperienceLLM-Based Systems UnderstandingData Engineering SkillsExcellent Communication SkillsExperience with Data Lakes and Warehouses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CodingAI Solution CustomizationTroubleshootingData EngineeringBuilding AI Agents
Soft Skills
Excellent CommunicationComfortable with Ambiguity
Tools & Technologies
SnowflakeDatabricksERPs
Industry Keywords
Customer DeploymentData LandscapeProduct RoadmapCustomer EscalationImplementation Work

About the role

Key responsibilities & impact
  • Own the last-mile execution of customer deployments – configuring, coding, customizing, and troubleshooting our AI solutions to ensure they work reliably in the customer's specific environment, data landscape, and workflows.
  • Serve as the intelligent backstop when our AI agents require human judgment, review, or escalation. Identify patterns in these interventions and feed them back to the product and engineering teams to continuously reduce manual effort over time.
  • Act as the voice of the customer inside Turgon. Synthesize customer pain points, edge cases, and feature requests into crisp, actionable briefs for the Product and Engineering teams. You will directly influence the product roadmap.

Requirements

What you’ll need
  • 7+ years of engineering or technical experience, with meaningful exposure to customer-facing or implementation work.
  • Strong technical foundation – you can code, understand how LLM-based systems work at a practical level, build your own agents, and have basic data engineering skills.
  • Excellent communication skills: you can explain a complex technical constraint to a non-technical stakeholder without breaking a sweat, and then turn around and write a precise bug report for an engineer.
  • Experience working in data lakes, data warehouses (Snowflake, Databricks, etc), ERPs, and other similar systems of record.
  • Comfortable with ambiguity and the pace of an early-stage startup – you can context-switch between a customer escalation, a product scoping session, and a sales call in the same day.

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements