About the role
Job Application for Product Manager - AI Agent at Superblocks Back to jobs Product Manager - AI Agent New York, NY Apply Superblocks is reimagining software development for a billion builders. Our mission is to help every team build, deploy, and manage AI-powered software with full control and flexibility.
Why Join Us? We’re one of the fastest-growing AI startups, backed by top-tier investors and widely adopted by companies like Instacart, Sofi, Betterment, and Carrier. Our team comes from Uber, Stripe, Datadog, Confluent, Elastic, and Google, and has founded/architected systems like Kafka, Kibana, Debezium, Datadog APM, and more. Since launching Clark, our AI builder, the response has been overwhelming with strong adoption from enterprises across different industries. We’re fully in-person at our NYC HQ near Union Square and are looking for exceptional engineers who are passionate about creating great products.
The Role: You will own the roadmap for Superblocks’ AI agent capabilities, defining how builders create, govern, and scale AI agents across their organizations. You’ll thrive here if you’re deeply technical, love working in fast feedback loops with customers and engineers, and are motivated by building a category-defining product from the ground up.
Responsibilities: Define and own the product roadmap for AI agent orchestration, governance, and execution Partner closely with engineering to design new agent capabilities (e.g., multi-step reasoning, workflow orchestration, integrations with enterprise systems) Work directly with enterprise customers to deeply understand their use cases, pain points, and success criteria Establish metrics for agent performance, trust, and reliability and use them to drive continuous improvement Build frameworks for agent governance, access control, auditability, and compliance that scale with customer needs Drive clarity and alignment across design, engineering, and go-to-market teams Must Haves: 3+ years of experience as a product manager with a track record of shipping complex technical products Deep familiarity with AI/ML products, preferably with experience building agent frameworks, LLM-powered systems, or developer platforms Strong technical acumen—you can discuss trade-offs with engineers and translate them into customer value Exceptional product sense and user empathy, especially when balancing cutting-edge AI capabilities with enterprise