Growth.Talent
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AI Engineer (GTM)

HumanSignal β€’ San Francisco, CA

Growth MarketingPlenoOn-siteFull time$180K - $220K
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AI/MLGTM EngineeringOn-site (SF/Austin/Lisbon)$180K-$220KFull-timeEarly-stage Impact

The Challenge

HumanSignal powers data labeling and evaluation for the world's leading AI teams β€” Label Studio is the de facto standard with 250K+ users. As the founding GTM engineer, you'll architect the AI systems that transform how the company acquires and scales customers, becoming a force multiplier for the entire go-to-market motion.

Your Mission

First 3 Months
1

Design and architect the GTM AI stack, mapping integrations across CRM, marketing automation, product analytics, and data warehouse

2

Deploy first AI-powered agent for lead qualification and routing, measuring accuracy and time-to-triage improvements

3

Build foundational internal tools and lightweight services that eliminate 3+ manual GTM workflows

4

Establish performance baselines and feedback loops for all AI systems to enable rapid iteration

By 6 Months
1

Scale AI agents across full funnel: lead qualification, personalized lifecycle marketing, sales assist, account intelligence, and user activation

2

Achieve 30%+ improvement in GTM team velocity (time-to-action, deals researched, accounts analyzed per FTE)

3

Implement continuous feedback loops that improve AI system performance by 20%+ quarter-over-quarter

4

Build out 4-5 mission-critical AI workflows that reduce manual GTM work by 40%+ across marketing, sales, and customer success

KPIs You'll Own

GTM Velocity (manual tasks eliminated)

Measure time saved per GTM team member per week through automation; target 30%+ improvement in FTE throughput.

AI System Accuracy

Track precision/recall on lead qualification, routing, and enrichment; maintain >85% accuracy on core workflows.

Pipeline Influence

Measure incremental revenue influenced by AI-powered account insights, sales assist, and activation signals.

System Reliability & Uptime

Ensure 99.5%+ uptime on production AI agents and integrations; track error rates and incident response time.

Learning Velocity

Monitor time-to-insight across funnel (lead-to-qualified, opportunity-to-decision, user-to-activation) and track improvement.

Tools & Stack

AI agents & LLMsCRM (likely Salesforce/HubSpot)Marketing automation platformsProduct analyticsData warehouse (Snowflake/BigQuery)Lead enrichment toolsPython/Node.js for service developmentLabel Studio (internal product)

Your Team

Your Manager

Likely VP/Head of GTM or Chief Revenue Officer (not specified)

Current Team

Founding GTM engineer role β€” you'll be building the team from scratch

New role β€” founding GTM engineer position

The Package

Salary

$180K-$220K base

Equity

Likely included (Series stage company, not specified)

Remote

On-site preferred (San Francisco, Austin, or Lisbon); hybrid or remote negotiable

Benefits & Perks

Equity stake in a pre-Series B AI data platform with strong traction (250K+ OSS users)
Work directly with leading AI teams (customer-facing impact across LLM fine-tuning, agent evaluation, model training)
Founding role: shape GTM tech stack, culture, and processes from day one
Flexible location (SF, Austin, Lisbon preferred; hybrid/remote possible)
High autonomy: ship fast, experiment, own the full AI systems lifecycle

Company Intelligence

HumanSignal builds the platform for creating, curating, and evaluating high-quality training data for AI systems. Label Studio, their open-source flagship, is used by 250K+ teams and powers hundreds of millions of labeled samples. They're scaling from bottom-up OSS adoption into enterprise-grade Label Studio Enterprise with security, collaboration, and production-grade AI pipelines.

Customers

Leading AI teams (implied: OpenAI, Anthropic, Google, Meta, and enterprise AI builders)

Culture

Fast-shipping, hands-on, product-obsessed, solving real-world AI data quality problems

Is This Role For You?

For You If
  • You've shipped production AI systems and agents β€” RAG, fine-tuning pipelines, LLM-powered workflows, or agentic tools
  • You thrive building integrations across multiple data sources and tools (CRM, analytics, data warehouse, enrichment APIs)
  • You love founding ambition: architecting systems from scratch, defining workflows with stakeholders, and measuring impact
  • You're comfortable with rapid iteration and trade-offs β€” you'll prototype, test, learn, and scale based on real GTM feedback
  • You understand GTM motion (lead generation, qualification, sales workflows, customer activation) and can translate problems into AI solutions
Won't Work If
  • You're a pure ML researcher or prefer theoretical work over shipping pragmatic systems β€” this role is 80% systems engineering, 20% ML
  • You need geographic flexibility β€” on-site presence in SF/Austin/Lisbon is strongly preferred for this founding role
  • You want a clear roadmap and stable requirements β€” GTM priorities shift, feedback loops are messy, and you'll navigate ambiguity constantly

Interview Process

1

Initial Conversation

Discuss your AI systems shipped, GTM problem-solving experience, and what excites you about the HumanSignal opportunity

2

Technical Deep Dive

Walk through a past AI/agent system you built β€” architecture, integrations, performance loops, challenges, and iteration

3

GTM System Design

Design a real GTM workflow (e.g., lead qualification agent) β€” scope, integrations, success metrics, and rollout plan

4

Founder Conversations

Meet GTM, product, or engineering leadership to align on vision, pace, and working style

Interested in this role?

Apply now and hear back within days, not weeks.

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