GTM Engineer
Acclaim AI
Job Description
We're looking for a Founding GTM Engineer to design, build, and own the revenue technology infrastructure for both Acclaim and Overtime. This is not a SalesOps role. We're not looking for someone to run commission plans or build headcount models.
We need a technical builder — someone who lives at the intersection of sales, data, and AI — who can architect a unified GTM system and make it hum. The north star is simple: sellers should spend their time selling, not messing around with tools. Your job is to make that a reality.
You'll report directly to the Head of Sales and work closely with Acclaim’s executive leadership. Requirements Must-haves 3 years experience in similar GTM Engineering role, or as Software Engineer focused on GTM initiatives Deep, hands-on experience integrating and administering tools like HubSpot, Apollo.io, Salesforce, Attio, Clay, or comparable platforms. Strong technical skills — proficient in APIs, webhooks, no-code/low-code automation (Zapier, Make, n8n), and able to write or direct code when needed to connect systems cleanly Experience evaluating and implementing AI-native tools — you know the landscape, you have opinions, and you can separate signal from noise Demonstrated ability to build data enrichment pipelines and automate workflows at scale Experience working in a fast-moving startup or scale-up environment where you've had to build, not just manage Strong differentiators You’re a builder - you spend your day in Claude Code, set up your own OpenClaw, and if a system doesn’t fit your needs, you build around it Prior experience with AI-first CRMs (e.g., Attio, Twenty, Hubspot AI features, or similar emerging players) Experience building automations and workflows for outbound pipeline development using Apollo and Clay Familiarity with intent data platforms (e.g., Bombora, G2, 6sense) and how to operationalize signals Experience supporting both an SDR function and a field/enterprise AE function simultaneously Background in regulated industries or selling complex technical products Responsibilities GTM Stack Architecture & Integration Own the end-to-end GTM tech stack across Demand Gen, SDR, and Sales for both Acclaim and Overtime Integrate and maintain an AI-first stack that delivers a single source of truth for every contact, deal, and account Lead vendor selection, evaluation and implementation for future tech-stack requirements Evaluate and implement a dialer solution and any additional tooling needed to complete the stack Connect all systems so data flows cleanly and automatically — no manual syncing, no duplicate records, no black holes AI-Powered GTM Automation Build automated data enrichment workflows that keep contact and account records clean and current without human intervention Identify and operationalize purchasing signals — intent data, buyer behavior, engagement triggers — so SDRs are reaching out at exactly the right moment Build AI-driven personalization workflows that generate high-quality, contextually relevant email and LinkedIn copy for SDRs to send, review, and fire — not write from scratch Ensure the CRM surfaces revenue intelligence out of the box: call transcription, deal health scoring, at-risk deal alerts, forecasting strength indicators, next-step recommendations, and sales blocker identification Adoption & Enablement Train the trainers; equip SDR leads and AE leads to own day-to-day usage so the team isn't dependent on you for every question Build workflows and AI outputs that are intuitive enough for non-technical sellers to act on immediately Track and own adoption metrics; login rates, sequence usage, AI suggestion acceptance — because a tool no one uses is just expensive shelfware Partner with sales and marketing leadership to continuously refine the stack as the team scales What We Offer You'll own the entire GTM infrastructure You're joining at the ground floor of a company where AI is the product, not a pilot program Direct line to the Head of Sales and executive leadership — your work will be visible and your impact will be measurable Competitive compensation, fully remote, and the chance to build something that scales #J-18808-Ljbffr