Product Manager

New York City (hq)full-timemid

Product ManagementProduct Manager

0 views0 saves0 applied

Apply Now

Quick Summary

Key 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,

Requirements Summary

The base salary ranges between $150,000 - $185,000+ USD, plus a generous equity package and benefits. Final comp will be based on experience and skills.

Technical Tools

Product ManagementProduct Manager

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.

What We Offer

~1 min read

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 base salary ranges between $150,000 - $185,000+ USD, plus a generous equity package and benefits. Final comp will be based on experience and skills.

If you’re excited to build the internal systems powering the next billion AI-powered apps, let’s talk.

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 requirements
You’re all-in and committed to building a generational AI company, far beyond a 9 to 5 job