Map GTM bottlenecks: Partner with RevOps, Sales, Marketing, and CS to identify where AI can reduce manual effort, increase speed, or improve targeting.
Prototype fast: Use GPT-4, Claude, Zapier, Clay, Hex, Notion, and similar tools to quickly ship working workflows.
Run pilots: Deploy in-field with SDRs, AEs, and CSMs. Shadow, iterate, and learn.
Measure ROI: Quantify hours saved, pipeline influenced, and conversion lifts.
Operationalize workflows: Document and transition working flows to GTM Systems, Enablement, or Marketing Ops for scale.
Translate GTM strategy into execution: Operationalize Piper artifacts into real-time workflows that drive pipeline growth and faster prospect follow-up.
Deploy self-serve AI tools: Launch Slack-triggered workflows that reduce prep/admin time by 25–40% and dynamically prioritize accounts.
Automate connected workflows: Improve hand-offs across Salesforce, Salesloft, Gong, and G2 Intent, cutting time-to-action by 20–30%.
Partner across functions: Increase adoption of GTM tools by 60–80% by aligning AI workflows with how reps and CSMs actually work.
Benchmark against best-in-class: Build internal orchestration modeled on leading GTM platforms like Qualified.

3–5+ years in RevOps, GTM strategy, or growth—preferably in B2B SaaS
Demonstrated success deploying AI into GTM workflows (lead scoring, pipeline insights, AI summaries, outbound triggers, etc.)
Hands-on experience with GenAI and automation tools (e.g., GPT-4, Claude, Zapier, Clay, Airtable, Notion)
Strong data literacy across Salesforce, Snowflake, Looker, and/or equivalent platforms
Cross-functional operator who collaborates with Sales, CS, and Marketing—not just for them
Bias for speed: quick iteration, hypothesis testing, and continuous learning

GTM Engineer

Key skills