GTM Engineer

Rockstar•Berkeley, CA

About The Position

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.

Requirements

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
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
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

Nice To Haves

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

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.