Principal Product Manager, Gen AI Agents

As a Principal Product Manager at Deputy, your key responsibilities include defining the vision and strategy for Gen AI agents, leading the end-to-end development of the minimum viable product (MVP), and collaborating with engineering and design to create intelligent automation solutions. You will also partner with customers to understand their pain points and design workflows that add real value, focusing on balancing innovation with practicality.

To qualify for the Principal Product Manager role at Deputy, you should have at least 7 years of product management experience, particularly in AI, automation, or enterprise SaaS. Experience in building and launching AI/ML products in a B2B environment is essential, and a deep understanding of large language models and agentic workflows will significantly enhance your candidacy.

Deputy supports its employees by providing a myriad of perks that include stock options, flexible remote working conditions, maternity and paternity leave policies, and comprehensive mental health support. They also emphasize continuous development and coaching, along with opportunities for team bonding through social events and hackathons.

The work culture at Deputy is collaborative, inclusive, and oriented towards innovation. As a Principal Product Manager, you will have the opportunity to work with team members from diverse backgrounds, promoting creativity and differing perspectives as key drivers of product innovation. Expect a supportive environment where your insights and contributions greatly influence product direction.

The Principal Product Manager role is crucial in enhancing Deputy's workforce management solutions. By leading the development of AI-driven automation, this position directly influences how effectively businesses can operate their workforce, creating efficiencies that positively impact employee engagement and business profitability.

This question allows you to share detailed examples of your previous roles in developing AI products, outlining the challenges you faced, how you approached them, and the results achieved. Highlight specific methodologies used like Agile or Lean and illustrate your understanding of machine learning in real-world applications.

Discuss your approach to balancing innovation with customer needs. Explain how market research, user feedback, and business objectives shape your prioritization process, possibly mentioning relevant frameworks like MoSCoW or RICE.

Share your methods for gathering customer insights such as conducting interviews, surveys, and using analytics tools. Emphasize how this feedback loop informs product design and leads to successful feature implementations.

Explain how you facilitate communication and collaboration between various stakeholders, including engineering, design, and marketing teams. Discuss your experience with running workshops or using tools like Slack or Trello to keep everyone on the same page.

Use a specific example to illustrate your ability to adapt. Describe the conditions that necessitated the pivot, the steps you took to execute the new strategy, and the impact this decision had on the product's success.

Discuss how you establish key performance indicators (KPIs) that align with business goals. Mention your techniques for data analysis and review how you utilize metrics to refine product features over time.

Talk about your structured approach to collecting user feedback through surveys, beta testing, and user interviews, and how you systematically apply that feedback to enhance product features and user experience.

Identify a couple of challenges such as ethical considerations or data privacy concerns that you have encountered in developing AI products. Discuss how you addressed these challenges effectively.

Share your commitment to continual learning through following industry leaders, reading research papers, attending conferences, or participating in relevant online courses. Discuss how you incorporate these learnings into your work.

Emphasize the importance of understanding your users' perspectives in shaping product decisions. Cite experiences where empathy has led to positive changes in your product offerings and overall user satisfaction.