AI Revenue Engineer: Autonomous Growth Workflows

Turn/River

San Francisco (CA)

Hybrid

USD 170,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary + bonus
Medical, dental, and vision insurance
Flexible vacation policy
401K matching
Paid parental leave
Commuter benefits
Wellness benefits
Home Office equipment reimbursement
Donation matching
Work from home Monday & Friday

Job summary

Turn/River is seeking an AI Engineer to build AI and automation layers for revenue operations in a San Francisco hybrid setting. You will enable faster, more predictable workflows across sales, renewals, and retention using AI agents, LLM tools, and automation frameworks.

The role emphasizes hands-on coding, end-to-end system building, and collaboration with portfolio firm revenue teams to scale growth and optimize retention.

Qualifications

  • Hands-on experience building AI agents and automation in production.
  • Independent contributor who ships end-to-end work.
  • Real-world AI applied to revenue in a commercial business.

Responsibilities

  • Design, build, and ship autonomous AI agents for revenue workflows.
  • Collaborate with sales, CS, and finance leaders and data teams.
  • Identify high‑value automation opportunities across customer lifecycle.
  • Partner with portfolio revenue teams on AI-powered initiatives.
  • Develop AI-assisted reporting and forecasting for pipeline health.

Skills

AI agent design
LLM-powered workflows
Automation systems
CRM integration (Salesforce)
Data-driven revenue ops
Production-grade coding

Tools

CRM platforms
Revenue intelligence tools
CPQ systems

Job description

Turn/River is seeking an AI Engineer to build AI and automation layers for revenue operations in a San Francisco hybrid setting. You will enable faster, more predictable workflows across sales, renewals, and retention using AI agents, LLM tools, and automation frameworks.

The role emphasizes hands-on coding, end-to-end system building, and collaboration with portfolio firm revenue teams to scale growth and optimize retention.

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