AI Agent Product Manager (intern)
Spira AI
Sunnyvale, CAFresher2h agovia LinkedIn
Posted 13 Nov 2026, 19:06 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Product managementSQLExcel
- Nice to have
- LLMsFigmaSocial media
- Work
- On-site in Sunnyvale · internship
- Pay
- Not stated by the employer.
- Skill demand
- LLMs51%Product management49%SQL17%Excel9%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
This is a full-time internship based on-site at Spira AI’s Sunnyvale, California office. You’ll help shape how people work with AI agents, from briefing a single agent to coordinating several. You’ll work with engineers and designers to answer these questions through research, prototypes, and product specs, and help ship the resulting features.
Key Responsibilities
- Design workflows for briefing agents, tracking progress, intervening, and reviewing output. Make responsibilities and handoffs clear when multiple agents work together.
- Interview creators, marketers, and small businesses, run usability tests, and turn what you learn into product requirements.
- Write short PRDs, user stories, and acceptance criteria with engineers. Work through edge cases such as failed runs, retries, long-running jobs, and ambiguous instructions. Stay involved through QA and launch.
- Prototype workflows with prompts, no-code tools, or AI coding tools and test them with users.
- Define what good agent output looks like, write test cases, and review results with engineering.
- Use activation, drop-off, and retention data to find friction in agent workflows. Track how other agent and creator tools solve similar problems.
Requirements & Tech Stack
- Regular hands-on use of AI agents or LLM tools such as ChatGPT, Claude, Gemini, or Cursor. You understand how prompts, context, tools, and memory affect their behavior and where they can fail.
- Curiosity about customer needs and the ability to turn research into clear, actionable specs.
- Comfort reading a funnel, analyzing data in a spreadsheet or SQL, and explaining what you find.
- Clear writing, sound technical questions, and the ability to weigh trade-offs with engineers and designers.
- Ownership and follow-through, including flagging blockers early.
Qualifications (Nice to Have)
- A technical background or a side project built with LLMs, agent frameworks, or workflow tools.
- Experience with product, design, engineering, research, or consulting, including user interviews, usability testing, or Figma wireframes.
- Interest in social media, the creator economy, or AI video and image tools.
What You’ll Get
You’ll own a product project from research to launch and work closely with engineers, designers, and founders building products around AI agents.