GTM Engineer

Rockstar

San Francisco (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Equity
Unlimited PTO
401k

Job summary

A pioneering tech company in San Francisco seeks a GTM Engineer to build and manage the infrastructure behind its go-to-market strategy. This role includes defining target accounts, monitoring buying signals, and creating a unified GTM engine. Ideal candidates have 3–6 years in growth or RevOps in B2B SaaS, with strong skills in building GTM systems. The position offers competitive salary, equity, and benefits including 401k and unlimited PTO. Join a world-class team in reshaping enterprise accounting.

Qualifications

  • 3–6 years in GTM systems, RevOps, or similar roles in B2B SaaS.
  • Experience in building GTM systems from scratch.
  • Strong understanding of sales-led growth and pipeline mechanics.

Responsibilities

  • Define and maintain the addressable account universe.
  • Build systems to monitor signals across the TAM.
  • Design and build the core infrastructure for account-based motion.
  • Build scalable outbound generation systems from scratch.

Skills

GTM systems building
Data fluency
Sales-led growth understanding
Project management

Tools

Clay
HubSpot
Salesforce
Apollo
Clearbit

Job description

Rockstar is recruiting for a pioneering agentic AI platform for enterprise accounting, purpose-built to deliver SOX-compliant, real-time close. Our client's founders have experience coming from both sides of the problem, having overseen finance organizations at major tech companies and built critical financial systems at industry leaders. They are a well-funded, venture-backed company supported by top-tier investors and finance executives from renowned technology firms.

Role Overview

This company is hiring a GTM Engineer to build and own the infrastructure behind its go-to-market motion. This is not a traditional growth marketing or demand gen role.

The candidate will not be managing campaigns or optimizing channels. They will be responsible for building a unified, system-level GTM engine:

  • defining target accounts
  • identifying buying signals
  • enriching and structuring data
  • triggering the right actions at the right time
  • continuously improving conversion through experimentation

This role sits at the intersection of growth, RevOps, and data engineering. The candidate will operate as the system owner of pipeline generation.

Key Responsibilities
  • TAM Mapping and Targeting Strategy: Define and maintain the addressable account universe. Build ICP models, account scoring frameworks, segmentation logic, and tiering to ensure GTM efforts focus on the highest-fit, highest-intent accounts.
  • Signal Detection and Intent Monitoring: Build systems to monitor first-party, second-party, and third-party signals across the TAM. Identify buying triggers such as job changes, hiring patterns, category engagement, website activity, partner referrals, and lookalike account behavior, then operationalize them into timely GTM actions.
  • Account-Based GTM Infrastructure: Design and build the core infrastructure behind the account-based motion, including targeting workflows, enrichment pipelines, trigger-based prospecting systems, and lifecycle automations that support a sales-led GTM model.
  • Systematic Pipeline Generation: Build scalable outbound and pipeline generation systems from scratch: enrichment logic, signal-triggered campaigns, AI-assisted personalization, routing logic, and human review checkpoints, all tied to a single output: qualified pipeline.
  • Tiered GTM Workflows: Design differentiated workflows for Tier 1, Tier 2, and Tier 3 accounts. Build systems that support deeper personalization and multi-threading for high-priority accounts, while enabling efficient automation and scaled touches across the broader account base.
  • Outbound Infrastructure: Own the technical backbone of the outbound motion, from account research and enrichment waterfalls to prospecting logic, sequencing infrastructure, and workflow automation.
  • Lifecycle Automation: Build full-funnel lifecycle systems that connect signals, account stages, outreach, and follow-up motions across marketing and sales. Ensure accounts move intelligently through the funnel based on behavior, fit, and engagement.
  • Tech Stack Ownership: Evaluate, implement, and optimize the GTM tool stack across data enrichment, sequencing, CRM, website tracking, routing, and automation. Build a tightly integrated system that is reliable, flexible, and high leverage.
  • Data Integrity and Systems Reliability: Own data quality end-to-end. Build and maintain enrichment logic, deduplication rules, sync architecture, and system hygiene so the GTM engine runs on accurate, trustworthy data.
  • Experimentation and Performance Analytics: Run hypothesis-driven experiments across targeting, signals, workflows, and sequencing. Build reporting that surfaces which signals, systems, and motions are generating pipeline so the team can invest more in what works.
  • Cross-Functional Feedback Loops: Build feedback loops between sales, marketing, and RevOps that continuously improve ICP targeting, scoring, messaging, and workflow design. Use closed-won/lost data, rep feedback, and engagement patterns to refine the system over time.
About You
  • 3–6 years in growth, GTM systems, RevOps, or similar roles in B2B SaaS
  • Experience building GTM systems from scratch, not just maintaining them
  • Strong understanding of sales-led growth and pipeline mechanics
You Are
  • Systems-first — you think in workflows, not campaigns
  • AI-native — tools like Claude, Clay, and ChatGPT are core to how you work
  • Highly data fluent — comfortable with enrichment, scoring, and experimentation
  • Technical — you can build complex systems without relying on engineering
  • Commercially sharp — you understand how your work translates to revenue
  • Fast and scrappy — you ship quickly and iterate based on results
What you've likely done
  • Built enrichment pipelines, scoring models, and outbound systems
  • Worked with tools like Clay, HubSpot, Salesforce, Apollo, Clearbit
  • Designed workflows that convert signals into pipeline
  • Run structured experiments to improve conversion
Strong plus
  • RevOps experience or deep understanding of revenue systems
  • Experience working with first-, second-, and third-party signals
  • Familiarity with APIs, integrations, or automation tools
  • Ability to write SQL, Python, or JavaScript
  • Experience selling into enterprise or finance personas
What this role is not
  • Not a demand gen role
  • Not a paid ads or SEO role
  • Not a content role

You are building the system behind growth, not running the channels.

Why Join Us
  • Build growth infrastructure from scratch at a company with a clear ICP and strong product-market fit
  • Work with a world-class team of engineers, finance leaders, and investors who are reshaping enterprise accounting
  • Join an AI-native company where AI is core to how we build and operate
  • Competitive salary, equity, and benefits (401k, unlimited PTO)
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