GTM Engineer

Responsibilities

• Own the CRM enrichment strategy — design and maintain the data foundation our GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack (Clay, Harmonic, Salesforce, and beyond)
• Audit the stack and generate your own backlog — identify what's missing or broken, and prioritize accordingly
• Ship rep productivity workflows fast — triage asks from the field, identify the low-hanging fruit, and build it
• Know when to go custom — spin up bespoke AI-powered solutions in Claude Code or similar when the problem calls for it
• Think in systems, not solutions — anticipate upstream and downstream implications, design for them, and avoid technical debt
• Integrate third-party APIs to sync events and information across disparate systems
• Think long-term about stack consolidation — build toward a smaller, more intentional stack
• Document what you build

Requirements

• 3–5 years of startup experience with a focus on campaign management or integrated marketing. Developer audience a plus.
• Demonstrated ability to manage multi-channel campaigns end-to-end with strong project management instincts.
• Familiarity with modern marketing tech stacks (HubSpot, Clay, Apollo, etc.).
• Strong analytical skills and comfort with campaign metrics and attribution. Excel mandatory. BI tool familiarity mandatory. SQL preferred, or a willingness to learn on the job.
• Sharp storytelling instincts — translate a product narrative into a campaign that lands with a technical audience.
• Comfortable working autonomously in high-growth, early-stage environments.
• Automation- and AI-native mindset; ability to leverage tools to move fast and scale impact.

Benefits

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups