Sales Systems Engineer, Enterprise Operations
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
Salesforce · CPQ · Snowflake · SQL · dbt · Polytomic · Hightouch · Workato · REST APIs · Python · JavaScript · Apex
About Perplexity
Conversational AI answer engine and agentic browser (Comet) that researches, shops, and executes tasks for consumers and enterprises.
Series E
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
About Perplexity Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship. The Role We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack. You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business. This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows,
More from the job description
About Perplexity Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship. The Role We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack. You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business. This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices. What You Will Own CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails. Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL [... source excerpt omitted ...] ng model, Apex if needed Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic. Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale) Comfort with REST APIs, webhooks, and scripting in Python or JavaScript A bias for building. You have shipped custom solutions when the vendor option was wrong. Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests. Nice to Have Familiarity with PLG-to-enterprise mo
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