Connecting Odds
Fractal Analytics

GTM Engineer

Fractal Analytics
Posted 2 days agoDiscoveredMatch locked
On-sitefull time1+ years exp

Role Details

Company: US-headquartered AI business Location: San Francisco, California Employment Type: Full-time Work Arrangement: In-office Work Intensity: 9-9-5 Salary: $130,000-$170,000 Equity: 0.1%-0.7% Visa Sponsorship: Available Experience: 1-4 years Company Stage: Seed Company Size: 1-10 employees

About the Company

An early-stage AI business focused on developing AI-powered creative tools.

About the Role

The company is hiring a GTM Engineer to build its outbound engine from scratch and take ownership of revenue and growth. The role focuses on lead generation, qualification, email outreach, tracking buying signals, and generating marketing-qualified leads (MQLs). The successful candidate will build and optimise go-to-market systems and automations hands-on.

Responsibilities

  • Build an outbound engine from scratch.
  • Source and qualify leads and manage email outreach.
  • Track responses, buying signals, and pipeline performance.
  • Build, test, and optimise measurable go-to-market channels.
  • Develop AI-driven automations and operational systems.
  • Contribute to paid advertising, SEO/AEO, and broader growth initiatives.

Requirements

  • Experience building agentic go-to-market systems for a product or company.
  • Strong hands-on outbound experience, including lead generation, qualification, email outreach, and tracking.
  • Proficiency in Apollo and Clay.
  • Experience using AI agents and automations across GTM workflows.
  • Knowledge of media buying, analytics, SEO/AEO, and growth hacking is advantageous.

Ideal Candidate

  • Hands-on outbound operator who can build systems from scratch.
  • Strong lead-generation and conversion optimisation skills.
  • AI-native, with practical experience using Apollo, Clay, and AI agents.
  • Comfortable taking ownership of revenue and growth in an early-stage startup.
  • Candidate Scorecard
  • Built agentic GTM systems for a product or company.
  • Deep hands-on outbound experience.
  • Proficiency in Apollo, Clay, and AI-driven workflows.

Green Flags

  • Strong Apollo and Clay expertise.
  • Built an outbound engine from scratch with measurable results.
  • Demonstrates a strong interest in lead generation and conversion optimisation.
  • Experience with agentic automations across GTM workflows.
  • Additional experience in paid advertising and SEO/AEO.

Red Flags

  • Primarily strategic experience without hands-on execution.
  • Limited outbound experience or reliance on others to execute.
  • Lack of AI proficiency or Apollo and Clay experience.
  • Brand-awareness experience without measurable pipeline results.

Interview Process

  • Initial screening with the Head of Operations.
  • On-site outbound and systems assessment.
  • Culture and motivation interview with the CEO.
  • Reference checks.
  • Offer and hiring.

Required Screening Question

Are you able to work in person in San Francisco?

Not included in the source posting: benefits.

Skills

artificial-intelligenceseogo

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.