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Perk (formerly TravelPerk) is building a modern, AI-powered outbound and pipeline generation motion. The Senior GTM Engineer is a hands-on builder responsible for designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable revenue teams to execute at scale.
This is not a traditional RevOps or systems admin role. You will construct sophisticated Clay workflows from scratch, engineer AI-powered enrichment pipelines, and translate signal-based prospecting strategies into production-ready systems. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership.
Key Responsibilities:
Clay Engineering & AI-Powered Outbound Infrastructure: Own the design, build, and maintenance of Clay tables, waterfall enrichment flows, and AI column logic powering Perk's outbound engine. Engineer multi-step Clay workflows using webhooks, HTTP API integrations, and conditional branching to automate account and contact sourcing at scale. Build and iterate on AI prompt layers within Clay using LLM columns to generate personalised outreach snippets, research account context, and qualify leads programmatically. Construct and maintain signal-based prospecting systems that ingest buying triggers and route them into prioritised Clay tables for Sales activation. Integrate Clay with Salesforce, Outreach, and data providers (Clearbit, Apollo, LinkedIn, PredictLeads, and others).
AI Workflow Design & Automation: Evaluate and implement AI tooling, including LLM-based research agents, AI SDRs, and prompt-engineered enrichment flows. Design and maintain Outreach sequences that incorporate AI-generated personalisation. Identify and automate repetitive GTM operations using Clay, Make, and custom API scripts. Maintain working knowledge of the AI GTM vendor landscape.
Data Quality & Enrichment Architecture: Own TAM sourcing and enrichment workflows, building waterfall logic that sequences providers to maximise contact coverage and data completeness. Engineer matching logic and scoring systems to accurately identify net-new accounts against existing CRM data. Maintain accurate account and contact data across Salesforce and connected GTM tools with automated hygiene rules. Define and enforce data quality standards for ICP segmentation, territory assignment, and pipeline attribution.
GTM Systems & Sales Productivity: Configure and maintain the core GTM stack (Salesforce, Outreach, Gong, Clay). Partner directly with Sales to diagnose productivity bottlenecks and build systems solutions. Rapidly troubleshoot system and workflow failures to minimise lost selling time.
Cross-Functional Collaboration: Serve as the primary systems contact for Revenue Systems and GTM Engineering support. Execute against the Revenue Systems roadmap in partnership with the Senior Manager and central GTM Engineering team. Share learnings, workflow templates, and Clay builds with the global GTM Engineering team. Provide ground-level feedback to inform roadmap prioritisation.
Requirements:
Must-Have:
- 6+ years in GTM Engineering, Revenue Operations, or Sales Operations in a B2B SaaS environment, with a strong technical orientation
- Hands-on Clay expertise; you have built complex Clay tables, waterfall enrichment flows, webhook integrations, and AI column prompts in a production environment
- Direct experience applying AI to GTM workflows: prompt engineering for LLM-based enrichment, AI-powered personalisation at scale, or building/evaluating AI SDR tooling
- Salesforce proficiency: building and maintaining custom objects, flows, reports, and data integrity logic
- Familiarity with sales engagement platforms (Outreach or SalesLoft) and their integration with CRM and enrichment tooling
- Ability to work with APIs, webhooks, and lightweight automation tools (Make, Zapier, or equivalent) without requiring engineering support for every integration
- Strong data instincts: you build systems that keep data clean, catch decay early, and ensure Sales operates from a high-quality foundation
Strong Advantage:
- Experience building signal-based outbound systems using intent data, hiring signals, or funding triggers surfaced through Clay or similar infrastructure
- Familiarity with data providers in the GTM stack: Clearbit, Apollo, PredictLeads, LinkedIn Sales Navigator, Bombora, or similar
- Exposure to Gong data and using conversation intelligence to inform outbound strategy or sequence design
- Experience in a high-growth SaaS environment
