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Clera

GTM Engineer (Mid-Level)

San Francisco
Salary
$160,000 - $220,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Not stated

Open. First seen 17 October 2026.

Apply on jobs.ashbyhq.com →

The team: Engineering HIRES STEADILY

This role is one of 250 open in Engineering. 184 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 250), TypeScript (114 of 250), Python (105 of 250), React (93 of 250), Machine Learning (63 of 250), PostgreSQL (45 of 250), JavaScript (42 of 250)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Join the go-to-market team at an AI infrastructure startup, working closely with the founding team and engineers. You will help technical teams evaluate AI and machine learning tools, turn successful pilots into customers, and build a repeatable approach to reaching the market.

What You'll Do

  • Research promising customer segments and build targeted outreach lists using research and automation tools.
  • Start conversations with decision-makers through email, LinkedIn, and warm introductions.
  • Lead discovery calls and tailor live product demonstrations to customer workflows.
  • Define pilot scope and success criteria, coordinate with engineering, and help customers achieve measurable results.
  • Create public content, including posts, demo videos, talks, and case studies informed by customer insights.
  • Track results, automate workflows, and document a repeatable go-to-market playbook.
  • Share customer feedback with the founding team to inform product and positioning decisions.

What We're Looking For

  • Two to five years of technical go-to-market experience, such as founding sales, solutions engineering, developer relations, technical product marketing, or growth at a developer-focused startup.
  • Hands-on familiarity with AI agents and models, with the ability to read code and discuss technical topics with machine learning engineers.
  • Experience moving technical buyers from initial outreach through signed pilots.
  • Strong writing skills for content, documentation, or talks aimed at technical audiences.
  • A systems mindset, comfort building processes from scratch, and experience using AI tools to automate work.
  • An existing network or audience in the AI engineering community is a plus.

Compensation & Benefits

Base salary is $160,000 to $220,000 annually, plus stock options. Compensation is discussed during the first call.

Location

On-site in San Francisco, California.

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