Senior Product Manager, AI
BubbleAbout the role
We built Bubble with a clear mission in mind: to empower everyone to create software. We believe anyone with an idea should be able to build it, so we’re making software creation accessible to everyone. Our AI visual development platform enables anyone, whether they’re first-time entrepreneurs or enterprise teams, to take an idea from prompt to fully-functional, scalable reality across web, iOS, and Android — all on one platform, all without writing or managing a single line of code.
As the only full-stack, cross-device no-code platform on the market with over 5 million users in over 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation across the globe.
What we’ve achieved:
Our product is working, and we are thriving. Entire VC-backed companies have been built entirely on Bubble. After finding product market fit and 8 years of bootstrapping, we raised a $100 million Series A and we’re one of the fastest-growing companies in the New York tech ecosystem.
You can build just about anything on Bubble - and our community is living proof. More than just launching products, people are turning their ideas into real businesses. Mailead grew a $10k investment in a Bubble product into a $2M valuation, while Faceless.video went from 0 to $1M+ ARR in less than a year, among many other examples.
About the team and role:
The AI team is responsible for the generation of new Bubble apps and the in-editor agent that allows users to edit, debug, and learn about their apps. The team is focused in the following areas:
AI foundation: Ensuring Bubble AI has the agentic foundations to build Bubble apps effectively.
Building with AI: Ensuring Bubble AI has the context and tools to build functional & polished Bubble apps.
AI experience and user guidance: Ensuring Bubble AI offers users an intuitive experience across application generation and the in-editor agent, including educating users on what’s getting built and how best to use the editor.
The AI team is currently splitting into two pods and we plan to add a third in the near future. This role will oversee one of these pods - driving roadmap and execution for that area - working closely with the current Senior PM on the AI team. We will match the candidate with the AI pod and focus area(s) that are the best fit.
In addition to driving our end user facing AI capabilities forward, this role will have an opportunity to help shape how our team leverages AI internally to accelerate product and development.
In this role, you'll:
Drive the product strategy, OKRs, and roadmap for an AI focus area
Drive product initiatives from concept through delivery, balancing long-term thinking with near-term execution
Partner closely with design and engineering in product discovery and delivery, and with marketing and success in go-to-market
Leverage AI to accelerate prototyping, research and validation, engineering & GTM hand-off, and more
Conduct user research to validate product opportunities, and use evals and feedback to iterate on the experience
Clearly scope MVPs and make informed prioritization decisions while maintaining high standards
Mentor junior members of the team and help shape product team processes and best practices
Get hands-on building with Bubble to become an expert on our platform
About you:
5-8+ years of product management experience including experience building AI products and working on end user facing products at scale
Experience shaping evidenced-based roadmaps and leading high-impact projects from discovery through launch and iteration
Proficient in AI, including building agents and leveraging AI tools in your work
Excited about AI and no-code app development, and about becoming an expert-level Bubble developer
Strong product judgment: you can spot high-impact opportunities and turn them into concrete, actionable plans
Experience working with design to find intuitive and easy to use solutions to complex UX problems
Comfortable partnering with engineering: You engage on technical tradeoffs and help shape implementation decisions
Experience using research and data to inform product decisions, not just validate t
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