Product Manager, AI Capabilities
Perplexity is hiring a Product Manager, AI Capabilities for a remote role open to applicants in United States. It pays $230k-$330k a year and Level rates it ; you can apply on Perplexity.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI product manager role: the job is building AI systems.
- The listed pay starts 28% above the typical AI product manager posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include product management, agentic systems and AI capabilities.
- Level lists 130 other open roles at Perplexity.
AI in this role
Product Manager for AI Capabilities owning foundational AI structures like skills, collaboration, and agentic workflows.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing.
The Role
The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work.
You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use.
What You'll Do
Anticipate opportunities for innovation and value in reusable, composable AI capabilities.
Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects.
Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth.
Work closely with engineering and design to align product expectations with model, tool, and platform capabilities.
Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users.
Have conviction to make difficult product decisions in the face of uncertainty.
Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI.
Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback.
Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams.
Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
Qualifications
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience building AI-native productivity, collaboration, platform, or developer-facing products.
Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration.
Experience with rapid prototyping and designing systems that produce high-quality artifacts.
Experience building data-driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Our Mission
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
How we rate this
Product Manager, AI Capabilities at Perplexity rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $230k
- Typical AI product manager job
- $180k
This posting starts 28% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where agentic systems was part of your work. What did you do?
- Tell me about a project where ai capabilities was part of your work. What did you do?
- Tell me about a project where collaboration tools was part of your work. What did you do?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Product Management, Agentic Systems, AI Capabilities, and Collaboration Tools. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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