Product Manager, CrewAI
Agent Experience
Multi-agent automation platform
Open for applications
Multi-agent automation platform
21-100 employees
Open for applications
21-100 employees
Company mission
To streamline workflows across industries with powerful AI agents.
Role
Who you are
- Several years of product management experience, including shaping a product or surface through meaningful ambiguity
- Direct experience building AI/agentic products — ideally agent platforms, no-code/visual builders, or developer-facing tools — and real fluency with how modern agents are built and evaluated (prompting, tool orchestration, evals)
- A track record of operating independently and taking genuine ownership of outcomes. You don't need a lot of scaffolding to move
- Strong collaborator with engineering and design; comfortable bringing a technical point of view (and a rough prototype) to the table and having it challenged
- Sharp prioritization instincts and the discipline to say no
- Comfort in front of enterprise customers, and comfort with imperfect data
- Bonus: experience with open-source-driven or PLG-into-enterprise motions; hands-on with AI tooling in your own workflow
What the job involves
- We're hiring a Product Manager to drive our agent experience — the surface where users build, deploy, and interact with agents
- This centers on our no-code Studio builder, which is at the heart of our product: easier to build with than the alternatives, while still capable of production-grade agents
- It extends to how users interact with deployed agents and bring them into the tools they already work in (CLI, SDK, and surfaces like Slack and Teams)
- It's an early, fast-evolving surface with a lot of room to shape where it goes. You'll work closely with the VP of Product and the rest of the product team to set direction and deliver against it
- Drive the agent-experience roadmap — discovery, prioritization, and delivery — for our Studio no-code builder and the broader agent-interaction surface
- Develop a sharp point of view on what to build first and what to hold back, in a space where you could justify almost anything
- Work shoulder-to-shoulder with engineering and design from the earliest stage. We believe the best products come from collaborative, non-sequential solutioning and healthy tension between craft, pragmatism, and technical reality — not from specs handed down a line
- Partner closely with our Platform PM, who owns runtime, tooling, RBAC, and our governance offering, to make agent experience and platform interlock cleanly
- Spend real time with customers — many of them large, less-technical enterprises — and translate what you learn into product, without becoming a pure feature-request conduit
- Ship on a two-week cadence: every cycle, something real we can point to
Our take
CrewAI is a multi-agent platform designed to streamline workflows across industries using powerful AI agents. By enabling organisations to build and deploy automated workflows with any large language model (LLM) and cloud platform, CrewAI transforms complex tasks into seamless automations.
The platform empowers millions of AI agents monthly, catering to diverse use cases ranging from research and analysis to coding and reporting. Boasting features like self-iteration, performance evaluation and persistent memory, CrewAI provides organisations with the tools they need to manage AI agents effectively while keeping humans in the loop for oversight and feedback.
This proposition has caught the attention of investors, seeing the company raise significant funds. This will support CrewAI's growth and development efforts, enabling it to expand operations. With a strong user base of over 150 customers across the globe, CrewAI is in a good place for continued success in the AI automation space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2024
$12.5m
SERIES A
Total funding: $12.5m
Company benefits
- Mission-driven team
- Remote-first culture
- Strong ownership and impact opportunities
Company HQ
Bela Vista, SP
Leadership
João Moura
(Co-Founder & CEO)Previously founded Urdog. They also served as the Director of AI Engineering at Clearbit, as an Engineering Manager at Toptal, and as the Lead Software Engineer at Packlane.
Rob Bailey
(Co-Founder & COO)Previously founded BackboneAI and MState where they served as the CEO. They were also a Strategic Advisor for over 9 years and the COO and GTM at Kustomer (acquired by Facebook).
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