Growth GTM Engineer, Revenue Operations

Details

In 2026, Perplexity launched Computer, a product for the era of agentic AI. Millions of people and teams adopt Perplexity and Computer, while marketing programs generate thousands of additional leads. This role will help turn that demand into pipeline by ensuring every lead is enriched, scored, and routed to the appropriate next step within minutes.

The Growth GTM Engineer will join the Revenue Operations team and own the lead-to-engagement engine. The role involves writing production code, owning the data and logic between the warehouse and Salesforce, and measuring systems against meetings, pipeline, and revenue.

Tech Stack

• Salesforce
• Snowflake
• dbt
• Python
• TypeScript
• Clay
• Reverse ETL, including Hightouch or similar tools
• Routing and scheduling tools, including Default and Chili Piper
• LLM APIs

Responsibilities

• Design and operate waterfall enrichment across third-party data providers, AI research agents, and first-party data for marketing and product leads.
• Handle lead-to-account matching, deduplication, field governance, data freshness, and provider costs.
• Build and iterate on lead and account scoring models using firmographic and technographic attributes, intent signals, engagement data, event activity, and product usage signals.
• Calibrate scoring models against closed-won and closed-lost data, version them, and explain scoring decisions to Sales.
• Design lead-routing logic that directs leads to Marketing for nurture or to BDRs, AEs, and Account Managers for engagement based on score, segment, territory, account ownership, capacity, and existing opportunities.
• Co-define lifecycle stages, handoff SLAs, recycle rules, and speed-to-lead triggers, and enforce them in Salesforce and routing tools.
• Instrument the funnel from lead creation through MQL, meeting, opportunity, and closed-won.
• Identify where leads stall, which sources and signals predict pipeline, and whether qualification criteria remain effective.
• Provide attribution data and feed funnel insights back into scoring, routing, and marketing programs.
• Build custom internal prospect-engagement applications, including account and prospect research briefs, signal-triggered Slack and Salesforce alerts, prioritized call and outreach queues, and LLM-powered agents for personalized outreach and rep preparation.
• Integrate vendor tools with Salesforce and the data layer.
• Build and maintain dbt models, reverse ETL syncs, APIs, and webhooks connecting Snowflake, Salesforce, marketing automation, enrichment providers, and engagement tools.
• Ensure data flows are observable, tested, and trusted.
• Support the rollout of the first marketing automation platform by building the Salesforce and warehouse components of its sync.
• Partner with Marketing, Growth, BDR and Sales leadership, Data Science, and Sales Systems to turn complex processes into durable systems.

Success Measures

First 30 Days

• Audit enrichment coverage, scoring logic, routing rules, and lead SLAs.
• Document gaps that negatively affect pipeline.

First 90 Days

• Ship an enrichment waterfall with measurable improvements in fill rate and accuracy.
• Ship an updated unified scoring model combining fit, intent, and product signals, with a published rubric trusted by Sales.
• Ship routing that sends every lead to nurture or sales within an agreed SLA, supported by dashboards showing speed to lead and conversion by route.

First 6 Months

• Ship at least one rep-facing engagement application or agent with sustained weekly use by BDRs and AEs.
• Demonstrate measurable improvements in MQL-to-meeting and meeting-to-opportunity conversion.

Requirements

• 4+ years of experience in GTM engineering, Revenue Operations, Marketing Operations engineering, growth engineering, or data engineering in a B2B SaaS environment.
• At least 2 years of experience building enrichment, scoring, or routing systems.
• Commercial instinct and the ability to work backward from revenue problems to the data, logic, or tools that solve them.
• Strong SQL skills and experience building data models in a warehouse such as Snowflake, dbt, or similar technologies.
• Production coding experience in Python or TypeScript, including shipping internal tools, integrations, or agents used by real users.
• Deep working knowledge of the Salesforce data model, including leads, contacts, accounts, opportunities, campaigns, and ownership.
• Experience automating within Salesforce and integrating with it.
• Hands-on experience with enrichment and intent providers and orchestration tools such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase, or Common Room.
• Fluency with lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data, and conversion metrics.
• Experience with REST APIs, webhooks, OAuth, rate limits, and error handling across third-party GTM tools.
• Ability to work directly with representatives and marketers, ship fixes quickly, and operate without requiring a product manager to translate requests.

Nice to Have

• Experience with hybrid PLG and sales-led motions, including product-qualified leads, mapping users to accounts, and sales-assist routing.
• Experience with routing and scheduling tools such as Default, Chili Piper, or LeanData.
• Experience with reverse ETL tools such as Hightouch, Census, or Polytomic.
• Experience building LLM-powered research, personalization, or qualification agents, including evaluation and monitoring.
• Experience with statistical or machine-learning-based scoring, including logistic regression, gradient boosting, and model calibration.
• Experience with entity resolution and domain matching at scale.
• Previous GTM Engineer experience at a GTM-tooling or AI-native company.

Company Values

• Craftsmanship: Build high-quality, thoughtful products for AI-native and AI-curious users.
• Ownership: Identify problems, design solutions, and ship them.
• Entrepreneurship: Think like founders, act with urgency, and deliver for colleagues and users.
• Scholarship: Pursue knowledge and help develop teams and products.
• Partnership: Amplify colleagues' strengths, break down silos, and help others deliver excellence.

Benefits

Full-time U.S. employees receive benefits including equity, health, dental, vision, retirement, fitness, commuter, and dependent care accounts. Benefits for international employees are tailored to their region of residence. U.S. salary ranges apply only to U.S.-based positions; international salaries are based on the local market.