Manager, AI Agent Operator - Marketing

About the role

Turn/River Capital is a private equity firm that applies a proprietary growth engineering strategy to investing, partnering with software businesses to accelerate growth and build enduring value. The firm's team of equal parts investors and operators provides hands-on operational support and the flexible capital to systematically scale marketing, sales, and customer success at its portfolio companies. 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.

Key Responsibilities

• Cross-Functional Partnership: Collaborate with Turn/River’s marketing leads, data team, and portfolio companies as a thought partner on how AI can accelerate the team’s strategic priorities.
• Workflow Identification & Re-Engineering: Bring a systematic lens to the team’s operations, identifying high-value automation opportunities. Decompose manual workflows into agent-ready components: skills, tools, evaluation frameworks, and feedback loops.
• Portfolio Company Collaboration: On a project basis, partner directly with portfolio company teams on specific initiatives—for example, building and testing AI-powered workflows that support a portfolio company’s marketing campaigns and revenue growth initiatives.
• Attribution & Funnel Analytics: Build AI-assisted reporting and attribution frameworks that connect marketing activity to pipeline and revenue. Surface insights that help the team identify gaps and double down on what’s working.
• AI Agent Design & Development: Design and build autonomous AI agents that execute marketing workflows—including campaign setup, audience segmentation, content generation, A/B testing, and performance reporting—with minimal human intervention.
• Frontier AI Adoption: Stay current with the rapidly evolving AI landscape—new models, agent frameworks, and tooling—and rapidly prototype and deploy new capabilities to keep Turn/River’s marketing function at the cutting edge.

Qualifications

• 3–7 years of experience in marketing, marketing technology, marketing operations, or growth engineering, with demonstrated experience applying AI/ML tools to marketing workflows.
• Hands-on experience building AI agents, LLM-powered workflows, or intelligent automation systems in a production environment.
• Deep familiarity with the B2B SaaS MarTech ecosystem: marketing automation platforms, CRM systems, web analytics, and digital advertising platforms.
• Data-driven mindset with experience building dashboards, funnel analytics, and attribution models.
• Structured thinker who can break complex problems into systems of components, root causes, and dependencies.
• Strong communicator who can distill technical concepts for non-technical stakeholders and collaborate effectively with marketing leaders.
• Hands-on, execution-oriented, and accountable for results—this is a building role, not an advisory one.
• Curious, experimental operator who continuously tests new approaches and technologies.