GTM Engineer

Responsibilities

Within 3 months:

• Complete a full audit of the GTM stack and bring data quality to a reliable foundation.
• Build enrichment pipelines that keep account and contact data accurate and current.
• Deploy and configure all core integrations so tools are talking to each other cleanly.
• Identify website visitors, tweak lead scoring, and create automated routing so the right accounts surface to the right people without manual work.
• Launch the first fully automated campaign end to end — list builds, sequences fire, responses route, pipeline gets attributed.

Within 6 months:

• Create a solution that ensures data quality stays reliable.
• Deploy outbound sequencing across the full AE team with personalized, data-driven messaging at scale.
• Deliver full marketing attribution so every dollar spent is connected to pipeline, including renewal and expansion.
• Have a custom intent signal engine surfacing buying signals the team can act on in real time across both new logo and customer accounts.

Within 9 months:

• Run multi-channel orchestration where a single trigger fires coordinated actions across tools — including CS touch points with no human handoff required.
• Deploy renewal risk scoring that flags accounts showing early churn signals — before CS has to manually notice.
• Own a GTM infrastructure that operates with meaningful autonomy — and have a clear point of view on where it goes next.
• Build a customer health score that informs both Sales and Marketing, not just CS.

Requirements

• 3–5 years in a RevOps, Sales Ops, or GTM Systems role.
• Hands-on Salesforce experience — built flows, fields, object relationships, and integrations.
• HubSpot experience, including managing the HubSpot ↔ Salesforce sync.
• Experience with AI tools and prompt-based workflow.
• Experience building enrichment pipelines (e.g., Clay) that pull external data into CRM records.
• Familiarity with outbound and sequencing tools like Apollo or Salesloft.
• Comfortable with ambiguity — can scope a problem and propose a solution without waiting for step-by-step direction.
• High ownership mindset — catch your own mistakes, communicate proactively.
• B2B SaaS experience.
• Experience partnering with Finance, CS, and post-sale teams.
• Comfortable writing lightweight scripts or automation logic (Python, JavaScript, or similar) to move and transform data between systems.

Nice-to-Haves

• Fintech or financial services experience.
• Familiarity with tools like Gong, RB2B, or similar.
• Flexibility and adaptability as the role may evolve.