Assembled Products Corporation

Product Manager – AI Agents

Assembled Products Corporation

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $180,000 - $220,000 per year

Job Level

Mid-LevelSenior

About the role

  • Work with prospects and customers to deeply understand problems and needs. Conduct research and interviews, partner across functions, and analyze feedback and usage data.
  • Collaborate with engineering and design teams to design and deliver impactful solutions. Provide clear requirements and direction, prioritize key features, and remove blockers.
  • Evangelize the product vision and roadmap to internal and external stakeholders. Share the "why" behind key decisions and rally teams around the product strategy.
  • Foster a culture of experimentation and iteration. Design ways to test and validate new features or strategies, measuring impact & adoption and incorporating learnings.
  • Drive product performance and key metrics. Report on insights to leadership and cross-functional teams and craft strategies to drive adoption and value.
  • Champion high product quality. We hold a high bar for usability, visual design, as well as relevance to complex user workflows.
  • Foster a fast-paced, growth-mindset, empathetic culture.

Requirements

  • Minimum of 3 years of product management experience in fast-growing tech environments (Enterprise SaaS experience strongly preferred)
  • Passion for AI and experience either as a deep personal user and/or in work
  • Collaborative style, with a track record of building strong partnerships, trust, and respect across functions and making the people around you more effective
  • You've led and shipped complex, impactful products that show you know how to handle tradeoffs and obstacles
  • Strong written and verbal communication skills: this is a rigorous writing culture that welcomes discussion and feedback
  • Customer orientation, with a passion for translating business problems into product solutions
  • Analytical mindset and ability to meaningfully engage with data
  • Technical fluency to drill into complex design and implementation challenges