Perplexity

2 months ago

Sales Systems Engineer, Enterprise Operations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Sales Systems Engineer to own the technical layer of our enterprise sales motion. Own CPQ, account and lead scoring, data orchestration, and integrations connecting Salesforce, Snowflake, and the GTM stack. Build scalable quote-to-cash, scoring models, data pipelines, and API integrations to support multi-hundred-million ARR growth in a builder-focused, cross-functional role.

Location: San Francisco, New York, Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•CPQ: Configure quote-to-cash processes, product catalog, pricing rules, approval workflows, discount governance, and contract generation; collaborate with Finance and Legal on guardrails.
•Scoring: Build and maintain account/lead/intent scoring models in Snowflake and push scores to Salesforce via reverse ETL.
•Data orchestration: Create pipelines (Polytomic, Hightouch, Workato) moving data across Snowflake, Salesforce, NetSuite, Apollo, Unify; own SLAs and incident response.
•Salesforce engineering: Develop flows, validation rules, custom objects, Apex when needed, and Lightning page configurations; manage sandbox and permissions.
•Integrations: Implement API-level integrations across GTM tools; build custom connectors when off-the-shelf options fall short.

Pay and Benefits

Salary: USD 200,000 - 230,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company
•Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing 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)

Experience:5+ yearsSaaSEnterprise software

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:SQLSnowflakeSalesforceCPQWorkatoPythonJavaScriptREST APIsDbtApexLightningNetSuiteHightouchPolytomicApolloUnify

Company Brief

Perplexity

Perplexity AI provides an AI-powered answer engine that returns conversational, citation-backed answers to user queries and offers Pro/Enterprise products and APIs for research, knowledge work, and search augmentation.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Perplexity

2 months ago

Sales Systems Engineer, Enterprise Operations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•CPQ: Configure quote-to-cash processes, product catalog, pricing rules, approval workflows, discount governance, and contract generation; collaborate with Finance and Legal on guardrails.
•Scoring: Build and maintain account/lead/intent scoring models in Snowflake and push scores to Salesforce via reverse ETL.
•Data orchestration: Create pipelines (Polytomic, Hightouch, Workato) moving data across Snowflake, Salesforce, NetSuite, Apollo, Unify; own SLAs and incident response.
•Salesforce engineering: Develop flows, validation rules, custom objects, Apex when needed, and Lightning page configurations; manage sandbox and permissions.
•Integrations: Implement API-level integrations across GTM tools; build custom connectors when off-the-shelf options fall short.

Pay and Benefits

Salary: USD 200,000 - 230,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company
•Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing 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)

Experience:5+ yearsSaaSEnterprise software

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:SQLSnowflakeSalesforceCPQWorkatoPythonJavaScriptREST APIsDbtApexLightningNetSuiteHightouchPolytomicApolloUnify

Company Brief

Perplexity

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor