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2 Agent Product Manager

In Office Lunch & Dinner💼 Full-time🗓 2026-07-25

Core

Design, build, and optimize AI-powered workflows and agents for enterprise customers to transform their Go-To-Market (GTM) strategies.

Role type

B2B Product Manager (AI Agents & GTM)

Builds

Custom AI agents and automated workflows for sales and marketing teams

Domain

B2B SaaS, AI, Go-To-Market strategy

Deliverable

production ML models | product features

Required skills

Product management, AI agent logic understanding, prompt engineering, workflow automation, SQL, cross-functional collaboration, customer stakeholder management, process design from scratch

Preferred skills

Early-stage startup experience, technical background (CS/Stats/Engineering/Economics), AI/ML product implementation, track record in product adoption

Technologies

SQL, AI agents, workflow automation tools

Responsibilities

Design and deploy AI agents tailored to customer GTM workflows, own post-sale lifecycle for enterprise customers, collaborate with stakeholders to map processes and identify optimization opportunities, run continuous optimization cycles on agent performance, act as technical product advisor to customer leadership, partner with engineers to deliver customized solutions, build enablement programs for sales teams, translate insights into scalable product improvements

Seniority

Mid-Senior, hands-on IC

Rewrite
## About the Role As one of our Agent Product Managers, you'll be at the forefront of how B2B companies transform their GTM strategies with AI. You'll work directly with enterprise customers to design, build, and optimize AI-powered workflows that revolutionize how their sales and marketing teams identify and engage prospects. This is a high-impact, hands-on role that combines product management, technical implementation, and direct customer-facing work. You'll embed with customer teams to understand their unique GTM processes, then architect and deploy AI agents that integrate into, complement or replace their existing workflows. Working closely with Sales, Forward Deployed Engineers, and leadership, you'll ensure customers aren't just adopting our platform but fundamentally changing how they approach revenue generation as an AI-first GTM org. ## What You'll Do - Design and deploy AI agents tailored to each customer's specific GTM workflows, pain points, and objectives - Own the full post-sale lifecycle for a portfolio of enterprise customers, implementing repeatable methodologies for agent deployment, training, and ongoing optimization - Collaborate directly with customer stakeholders (SDRs, AEs, Sales Leaders) to map existing processes and identify optimization opportunities - Run continuous optimization cycles — analyzing performance data, gathering user feedback, and iterating on agent configurations to maximize ROI - Act as technical product advisor to customer leadership teams, helping them envision and execute their AI-driven GTM roadmap - Partner with Forward Deployed Engineers to build and deliver customized product solutions that fit and enhance customer workflows - Build and manage enablement programs for SDRs and AEs to ensure successful adoption of AI-powered workflows - Translate frontline insights into scalable product improvements and new use case opportunities ## Who You Are - 4+ years experience in one or more of the following: Product Management, Consulting, Investment Banking, former founder, GTM operator in early stage startups - Technical fluency with ability to understand AI agent logic, prompt engineering, and workflow automation - Skilled at working cross-functionally with technical teams like Product Engineering and FDEs - Proficient in SQL with strong analytical instincts for measuring and optimizing performance - Customer-obsessed problem solver who thrives on building trust and driving measurable business outcomes - Excited to build processes from scratch in a fast-moving environment with high ambiguity - Comfortable wearing multiple hats and stepping into complex technical and business challenges ## Nice to Haves - Experience at an early-stage startup building and scaling functions and processes - Background in a technical field (CS, Stats, Engineering, Economics, etc) - Previous experience with AI/ML product implementation or prompt engineering - Track record of driving product adoption and measurable customer outcomes
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