Gtm Engineer - Tam, Whitespace & Prioritized Prospecting

Toast Toast · Enterprise · United States · Remote · Sales : Growth Operations

This role focuses on building and maintaining the prospecting intelligence layer for sales, using tools like Clay and third-party signals to identify and prioritize potential customers. It involves data pipeline management, scoring model refinement, and integration roadmapping, with a strong emphasis on SQL and data warehouse environments. While it uses AI tools and involves 'agent building' in a sales context, the core function is GTM operations and data engineering for sales enablement, not direct AI/ML model development.

What you'd actually do

  1. Build and maintain Clay workflows to map intent signals, build outbound lists and identify whitespace across segments and territories
  2. Enrich and score accounts using third-party signals (intent data, firmographics, technographics) to create prioritized prospect lists
  3. Partner with Sales and SDR teams to deliver dynamic, targeted outreach sequences based on account tier and buying signals
  4. Own the data pipeline from Clay into CRM and Sales Assistant, ensuring enrichment is accurate, deduplicated, and actionable
  5. Continuously refine scoring models based on conversion data and sales feedback

Skills

Required

  • 6+ years in Revenue Operations, Sales Operations, or GTM Engineering, with at least 2 years focused on prospecting infrastructure, account intelligence, or pipeline generation tooling
  • Hands-on experience building and owning Clay workflows at scale: including enrichment waterfalls, scoring logic, and CRM sync or equivalent experience with a comparable data orchestration platform
  • Deep familiarity with third-party signal providers (intent data, firmographics, technographics) and how to activate those signals in prioritized outreach and territory planning
  • Agent building: Demonstrated experience designing, building, and deploying AI agents and agentic workflows that transformed real work
  • Strong understanding of the B2B sales process end-to-end — you've embedded with sales teams, understand how reps prioritize their day, and can build tooling that surfaces the right account at the right time
  • Strong SQL skills and comfort working directly in a data warehouse environment (Snowflake, BigQuery) for enrichment validation, pipeline QA, and model iteration
  • Systems thinker who can connect tools, trace data flows, and build integrations that scale — comfortable with APIs, Salesforce flows, and no-code/low-code automation tooling

Nice to have

  • Experience with identity resolution and deduplication tooling (Ringlead, Openprise, or similar) to ensure enriched records are clean before entering the CRM
  • Familiarity with outbound sequencing platforms (Outreach, Salesloft) and how to connect Clay-enriched signals into automated sequence enrollment
  • Experience contributing to or owning territory design and quota planning models using TAM data
  • Background in a high-growth SaaS or fintech environment where you've scaled prospecting infrastructure from scratch across multiple segments or geographies

What the JD emphasized

  • Agent building: Demonstrated experience designing, building, and deploying AI agents and agentic workflows that transformed real work
  • Hands-on experience building and owning Clay workflows at scale: including enrichment waterfalls, scoring logic, and CRM sync or equivalent experience with a comparable data orchestration platform
  • Strong SQL skills and comfort working directly in a data warehouse environment (Snowflake, BigQuery) for enrichment validation, pipeline QA, and model iteration