Original listing text, shown exactly as published by the company.
The Role
Perk is building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable our revenue teams to execute at scale.
This is not a traditional RevOps or systems admin role. The Senior GTM Engineer is a hands-on builder: someone who constructs sophisticated Clay workflows from scratch, engineers AI-powered enrichment pipelines, and translates signal-based prospecting strategies into production-ready systems. As AI continues to reshape B2B sales, this role is responsible for staying ahead of the curve and identifying where LLMs, AI agents, and intelligent automation can replace manual effort and improve outbound precision.
The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how Perk builds and scales its commercial engine.
What You’ll Do
Clay Engineering & AI-Powered Outbound Infrastructure
- Own the design, build, and maintenance of Clay tables, waterfall enrichment flows, and AI column logic that power 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 (hiring signals, funding events, intent data) and route them into prioritised Clay tables for Sales activation.
- Integrate Clay with Salesforce, Outreach, and data providers (Clearbit, Apollo, LinkedIn, PredictLeads, and others) to maintain clean, enriched, and timely GTM data.
AI Workflow Design & Automation
- Evaluate and implement AI tooling, including LLM-based research agents, AI SDRs, and prompt-engineered enrichment flows, to scale outbound relevance without scaling headcount.
- Design and maintain Outreach sequences that incorporate AI-generated personalisation, ensuring high-volume dialling and email campaigns feel 1:1 at scale.
- Identify and automate repetitive GTM operations (list building, data hygiene, routing, deduplication) using Clay, Make, and custom API scripts.
- Maintain a working knowledge of the AI GTM vendor landscape and bring forward well-reasoned recommendations on new tooling.
Data Quality & Enrichment Architecture
- Own TAM sourcing and enrichment workflows, building waterfall logic that sequences providers (e.g. Clearbit -> Fullenrich -> LinkedIn) to maximise contact coverage and data completeness. This includes engineering matching logic and scoring systems to accurately identify net-new accounts against existing CRM data (using identifiers like domain, LinkedIn, and country) before routing them to Sales.
- Maintain accurate account and contact data across Salesforce and connected GTM tools, with automated hygiene rules to catch decay before it reaches Sales.
- 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) to support high-volume outbound activity and ambitious pipeline targets.
- Partner directly with Sales to diagnose productivity bottlenecks and build systems solutions, from routing logic to sequence architecture to dialler integrations.
- Rapidly troubleshoot system and workflow failures to minimise lost selling time during core business hours.
Cross-Functional Collaboration & Roadmap Execution
- Serve as the primary systems contact for Revenue Systems and GTM Engineering support, owning issue resolution end-to-end.
- 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 to drive consistency and compound improvement across regions.
- Provide ground-level feedback to inform roadmap prioritisation, surfacing patterns in what's breaking, slowing, or blocking revenue teams.
What We’re Looking For
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, not just experimented with the tool.
- 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 always 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.
