About Turn/River

Turn/River Capital is a private equity firm that partners with software businesses to drive AI transformation and catalyze capital-efficient growth. As a team of equal parts software operators and investors, we have the people, data-driven playbooks and flexible capital to re-architect engineering, product, go-to-market, talent and resourcing to build enduring value. Founded in 2012 and based in San Francisco, Turn/River has $5.6bn in committed capital and invests globally with a focus on North America and Europe.

About the Role

We are seeking an AI Engineer to build the AI and automation layer of our revenue operations—designing, building, and shipping intelligent workflows that make our sales, renewal, and retention motions faster, more predictable, and scalable. Ultimately, this role is helping the Customer and Sales organizations deliver more revenue sustainably.

This is a building role where you will embed with portfolio company revenue teams and bring a point of view on where AI can create the most leverage—spanning pipeline creation + advancement, forecasting, renewal automation, churn prediction, and more—then re-engineer those workflows using AI agents, LLM-powered tools, and automation frameworks. You will build working systems, put them into production, and iterate based on real performance data.

The ideal candidate is a structured thinker, a relentless builder, and a lifelong learner who thrives on bringing order to complexity. You should be equally comfortable writing a prompt chain as you are configuring a workflow inside of a CRM or revenue intelligence platform, and you should be energized by the challenge of turning a manual, repetitive process into something an AI agent handles autonomously.

Key Responsibilities

AI Agent Design & Development: Design, build, and ship autonomous AI agents that execute revenue workflows end to end—including lead qualification, opportunity scoring, account health monitoring, renewal triggers, and win/loss analysis—with minimal human intervention. You will be the one writing the code.

Cross-Functional Partnership: Collaborate with Turn/River’s sales, customer success, and finance leads, as well as the data team and portfolio companies, as a thought partner on how AI can accelerate revenue growth, retention, and renewal performance.

Workflow Identification & Re-Engineering: Bring a systematic lens to revenue operations, identifying high-value automation opportunities across the full customer lifecycle. Decompose manual workflows—from pipeline creation to renewal processing—into agent-ready components: skills, tools, evaluation frameworks, and feedback loops.

Portfolio Company Collaboration: On a project basis, partner directly with portfolio company revenue teams on specific initiatives—for example, building and testing AI-powered workflows that support a portfolio company’s sales productivity, renewal automation, or churn reduction programs.

Pipeline & Forecast Analytics: Build AI-assisted reporting and forecasting frameworks that provide real-time visibility into pipeline health, deal velocity, and revenue risk. Surface insights that help sales and CS leadership identify gaps, prioritize accounts, and improve forecast accuracy.

Renewal & Retention Automation: Design and deploy intelligent workflows that automate the renewal cycle—including proactive risk identification, renewal outreach sequencing, expansion opportunity detection, and churn propensity modeling—to protect and grow net revenue retention.

Frontier AI Adoption: Stay current with the rapidly evolving AI landscape—new models, agent frameworks, and revenue intelligence tooling—and rapidly prototype and deploy new capabilities to keep Turn/River’s revenue function at the cutting edge.

Qualifications

Hands-on experience building AI agents, LLM-powered workflows, or intelligent automation systems in a production environment.

Individual contributor by preference. You are accountable for building and shipping the work yourself rather than directing others who do — this role is measured in systems running in production, not specifications handed off.