[Hiring] GTM Engineer @Acclaim

Role 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.

Qualifications

• 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

Requirements

• 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

• 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
• 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
• 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

Benefits

• 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