Growth GTM Engineer, Revenue Operations
Perplexity
San Francisco, CA • 19m ago • Hybrid
Senior
Hybrid
175,000 - 235,000 USD/yr
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Potential salary for Growth GTM Engineer, Revenue Operations role
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$175,000 – $235,000/year
Quick Facts
- Focus: Lead-to-engagement engine for growth and revenue operations
Description
Own lead enrichment orchestration, fit/intent scoring, and routing of marketing/product leads to the right next step. Build and maintain the data layer connecting Snowflake and Salesforce, and deliver rep-facing tools and agentic capabilities to improve prospect engagement. Optimize the full funnel using measurable outcomes like speed to lead, MQL-to-meeting, and meeting-to-opportunity conversion.
Responsibilities
- Own enrichment orchestration for marketing and product leads, including waterfall enrichment, lead/account matching, deduplication, field governance, data freshness, and provider cost management
- Build and iterate unified lead and account scoring models combining firmographic/technographic fit with intent and behavior signals; calibrate against closed-won/closed-lost and explain scoring to Sales
- Own lead routing and decision logic to send leads to Marketing nurture or to BDR/AE/Account Manager engagement based on score, segment, territory, ownership, capacity, and opportunities; enforce rules in Salesforce and routing tools and define lifecycle stages and SLAs
- Close the feedback loop by instrumenting the funnel end-to-end and feeding insights back into scoring, routing, and marketing programs
- Help build internal rep-facing engagement apps/agents (research briefs, signal-triggered alerts, prioritized outreach queues, and LLM-powered personalization) and integrate vendor tools with Salesforce and the data layer
- Be the technical owner of the lead data layer by building dbt models, reverse ETL syncs, APIs, and webhooks; ensure observability, testing, and trusted data flows; support marketing automation platform rollout via Salesforce and warehouse sync
- Partner with Marketing, Growth, BDR/Sales leadership, Data Science, and Sales Systems to turn messy processes into durable systems and incorporate PLG signals into scoring and routing
Requirements
- 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment (including at least 2 years building enrichment, scoring, or routing systems)
- Commercial instinct focused on revenue problems and working back to data, logic, or tools
- Strong SQL and experience building data models in a warehouse (e.g., Snowflake, dbt or similar)
- Production code experience in Python or TypeScript; shipped internal tools/integrations/agents used by real users
- Deep working knowledge of Salesforce (leads, contacts, accounts, opportunities, campaigns, ownership) plus experience automating and integrating within it
- Hands-on enrichment and intent provider experience (e.g., Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase, Common Room)
- Fluency with funnel mechanics: lead lifecycle, scoring, routing/assignment logic, SLAs, attribution, and conversion metrics
- Comfort with REST APIs, webhooks, OAuth, rate limits, and error handling across third-party GTM tools
- Operator/business-partner mindset; ships fixes quickly with reps and marketers
Benefits
- Own and ship an end-to-end lead-to-engagement system with measurable impact on pipeline and revenue
- Build product-style internal tools and AI-powered agents used by BDRs and AEs
- Work closely with GTM, Sales Operations, Data Science, and Sales Systems leadership
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