GTM Engineer

Clera

$120K — $200K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Technical background in Computer Science, Data Science, or equivalent expertise
  • Proficiency with Python, TypeScript, and/or SQL, and AI coding tools
  • Experience with PLG growth strategies and reverse-engineering successful models
  • Ability to navigate ambiguity and drive change independently
  • Strong commitment to data hygiene practices
  • Experience in designing and owning growth data layers and dashboards
  • Hands-on experience in building data pipelines using APIs and webhooks
  • Familiarity with PLG growth experiments including A/B testing and lookalike modeling
  • Capability to develop AI-powered internal tools from prototypes through adoption.

Responsibilities

  • Own the entire growth data layer and ensure it is the company's source of truth
  • Convert ideal customers into sales pipeline using various modeling techniques
  • Execute and analyze growth experiments across multiple platforms and channels
  • Connect data tools through APIs to streamline information flow
  • Make decisions regarding the tools and technologies used for growth metrics
  • Develop and manage AI internal tools, overseeing their implementation and compliance.

Benefits

  • Early-stage equity in a fast-growing company
  • Collaborative work environment fostering innovation and creativity
  • Opportunity to shape the direction of the company's growth strategy.
Full Job Description
About the Role

We're hiring a GTM Engineer to build the machine behind our growth: the data pipeline, the outbound engine, and the source of truth the whole company runs on. This is a build-and-own role, not a support role.

We're an early-stage AI infrastructure company building core communication and identity primitives for AI agents - think programmable inboxes, structured message parsing, webhook routing, and persistent agent identity. We're moving fast in a category without a playbook, and this role sits at the intersection of engineering and growth.
What You'll Do
  • Own the growth data layer end to end: instrument the funnel, enrich every signup, and build dashboards that become the company's source of truth
  • Turn best-fit customers into pipeline: lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions and buyers inside companies already using the product
  • Run experiments across the PLG engine - content, integrations, backlinks, paid channels - and double down on what moves signups
  • Connect the stack through APIs, webhooks, and automation so data flows cleanly between analytics platforms (e.g. PostHog), CRMs, enrichment providers, and outbound tooling
  • Decide what tools stay and what gets cut - you own the stack
  • Build AI-powered internal tools; ship systems from prototype through rollout and adoption, then own governance and compliance
What We're Looking For

Required:
  • Technical foundation in CS, data science, or equivalent - you write real scripts in Python, TypeScript, and/or SQL, wire APIs together, and are comfortable with AI coding tools (Claude Code, Codex, etc.)
  • You've seen a great growth motion up close, or have been obsessively reverse-engineering how the best PLG companies grow
  • High agency in ambiguity: you call out what's broken, come with an opinion, and fix things without being asked
  • Disciplined about data hygiene - clean data is a practice, not a checkbox
  • Experience designing, instrumenting, and owning a growth data layer and dashboards that serve as the company's source of truth
  • Hands-on experience building and maintaining data pipelines that move data between analytics platforms, CRMs, enrichment providers, and outbound tools via APIs and webhooks
  • Experience with PLG growth experiments including A/B testing, content, integrations, backlinks, paid channels, and lookalike modeling for outbound campaigns
  • Ability to ship AI-powered internal tools and take systems from prototype through rollout with adoption and governance
  • Willingness to work on-site in San Francisco, Los Angeles, or New York City

Nice to Have:
  • You want to help invent a market, not just run someone else's process
  • Background at or close to high-growth developer tools or AI/ML infrastructure companies
Compensation & Benefits
  • Salary: $120,000 - $200,000 USD annually, depending on experience
  • Early-stage equity
  • Visa sponsorship: Not available
Location

This is a full-time, on-site role. Candidates must be willing to work on-site in San Francisco, CA, Los Angeles, CA, or New York City, NY. San Francisco is the primary location.

Similar Jobs

More Jobs at Clera

  • GTM Engineer
    $120K — $200K *
    San Francisco, CA 94112 (San Francisco County)
    Enterprise Technology
    In-Person
  • Account Executive
    $100K — $150K *
    San Francisco, CA 94112 (San Francisco County)
    Business Services
    In-Person
  • Senior Fullstack Engineer
    $150K — $220K *
    New York, NY 10025 (New York County)
    Finance & Insurance
    In-Person
  • Software Engineer
    $150K — $300K *
    Los Angeles, CA 90011 (Los Angeles County)
    Enterprise Technology
    In-Person
  • Product Operations Manager - Housing
    $150K — $200K *
    New York, NY 10025 (New York County)
    Real Estate & Construction
    In-Person

More Enterprise Technology Jobs

Find similar GTM Engineer jobs: