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GTM Engineer

San Francisco, CA
·In Office·Full Time

Our client is a Sequoia-backed AI agent platform — enabling any team to build, deploy, and manage AI agents connected to their data across Slack, Notion, GitHub, and 20+ sources. $21.5M raised, 80K+ agents created, 12M+ conversations. Customers include Qonto, Alan, and PayFit. Founded by ex-Stripe and ex-OpenAI researchers.

About the Role

Our client is building an enterprise AI platform that is fundamentally changing how companies operate — enabling any employee to shape and deploy the exact AI agents they need to accelerate their work. Backed by a top-tier investor, the company serves a fast-growing roster of high-growth B2B and AI-native companies, with weekly active user retention rivalling the stickiness of tools teams rely on every day. They are growing fast and targeting significant expansion by end of 2026. This GTM engineering role sits at the intersection of engineering and revenue generation. You will build the automated outbound prospecting systems that fuel pipeline growth in the US market — working directly with RevOps and Sales to design end-to-end workflows, integrations, and AI-powered systems. You will use the product itself to build the GTM engine, and have the opportunity to define what world-class GTM engineering looks like at a company shaping the future of work.

What You'll Own

  • Design and implement end-to-end outbound workflows across the full GTM stack — from prospect identification and data enrichment through to personalised outreach and lead routing

  • Build scalable systems that continuously improve prospecting efficiency and pipeline generation in the US market

  • Automate repetitive GTM workflows to increase sales team productivity and free them up for high-value conversations

  • Own outbound campaigns end-to-end — tracking performance metrics, running rapid A/B experiments on messaging and targeting, and scaling what works into repeatable playbooks

  • Develop documentation and train Sales teams on automation tools and workflows

  • Help define what world-class GTM engineering looks like as the discipline evolves at an AI-first company

What We're Looking For

  • 1–3 years of experience in an operations or engineering-focused role — you have built systems and workflows, not just used them

  • Technical fluency across SaaS tools, APIs, webhooks, and automation platforms — comfortable with basic scripting to get things done

  • Strong interest in AI and its role in transforming GTM strategies — you follow the space and have opinions about where it is going

  • Business-oriented mindset with a solid understanding of sales processes and what drives commercial outcomes

  • Data-driven approach to experimentation — you track what matters, run structured tests, and optimise based on evidence

  • Scrappy, resourceful problem solver who is comfortable operating at pace in a fast-moving environment

Nice to have

  • Hands-on familiarity with modern GTM tooling — Clay, CommonRoom, Lemlist, HubSpot, or similar

  • Experience in early-stage startups or high-growth environments

  • Programming experience in Python or JavaScript

Tech Stack

Clay, HubSpot, CommonRoom, Lemlist, AI Automation, GTM Systems, Outbound, RevOps, APIs, Webhooks

Interested?

Reach out to our Talent Team on LinkedIn or share your profile here.

Connect with Deep

Compensation

Base

$95k–$135k

Equity

Significant equity package

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