Red Ventures is a global portfolio of high-growth companies, and they are seeking a Senior AI Product Manager to join their Agentic Delivery team. This role involves building and operationalizing a Growth Operating System that enhances agentic workflows to drive scalable growth across their partner portfolio.
Responsibilities:
- Develop starter kits and accelerator kits: Package your agents, orchestration patterns, and workflows into reusable kits that enable business delivery teams to adopt agentic execution within their client engagements. You will drive adoption by making it easy for others to use and extend what you build
- Roadmap and build agentic systems: You will sit with the business team to identify opportunities and then design, create, and deploy the agents that power our coordinated execution systems. These frameworks will be the foundation for enabling others to build bespoke solutions as well. You will work to compose these agents into end-to-end workflows that replace fragmented manual processes with scalable, intelligent systems
- Own workstreams across the delivery workflow: Operate as the day-to-day product lead across key workstreams within the agentic delivery workflow. You will define the “how” for your areas of ownership, turning strategic vision into execution plans and driving progress across cross-functional teams
- Shape the Growth Intelligence integration: Partner with data science, engineering, and client teams to define how structured business context — experiment outcomes, market signals, compliance rules, design system specifications, and partner configurations — is made accessible and actionable by the agents you build
- Measure and communicate impact: Define success criteria for your workstreams, track outcomes, and communicate ROI and areas of opportunity to leadership. You own the results of what you ship
Requirements:
- This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp
- You must analyze complex operational processes, identify where agents can accelerate manual work, and then build the roadmaps, frameworks, and agents to unlock these processes
- You will lead key workflows and be a direct contributor to building the agents within them
- You can write prompts, read code, build prototypes, and debug agent behavior
- You have a strong technical and data foundation that enables you to partner deeply with data scientists and engineers while also being a direct contributor to the systems you're building
- You can break down complex processes into the individual units of work agents can perform, connect those units into orchestrated workflows, and design the intelligence layer that makes the whole system smarter over time
- You thrive in 0→1 environments, working through ambiguity, testing emerging capabilities, and creating new playbooks
- You communicate with clarity, build trust across cross-functional and client stakeholders, and drive alignment in ambiguous environments
- You have built and deployed agents and agentic workflows that solve real problems, moving beyond demos to create systems operating in production
- You understand how to scope an agent's role, connect it to data sources and tools, define its rules of engagement, and compose multiple agents into reliable systems
- You are fluent in the development patterns emerging across agentic environments like Claude Code, Claude Cowork, OpenAI Codex, OpenClaw, NemoClaw, or similar tools
- Experience influencing cross-functional leaders, navigating competing priorities, and making high-impact product decisions in fast-paced, ambiguous settings
- Proven track record of driving behavior change, optimizing key metrics, and demonstrating clear ROI through AI-powered products or systems
- Comfortable with SQL, python, data modeling, experimentation frameworks, and the analytical rigor required to evaluate whether agentic systems are creating real value versus just running tasks