Senior, Technical Product Manager - ML Operations Tools and Services

As a Senior Technical Product Manager - ML Operations Tools and Services at Torc, your main responsibilities include aligning leadership on a unified vision for machine learning operations, translating that vision into detailed product milestones, and managing execution plans across the technology organization. You will proactively identify project risks and dependencies while ensuring that our internal customers' needs are voiced and prioritized throughout the product lifecycle.

To succeed as a Senior Technical Product Manager - ML Operations Tools and Services at Torc, you need a strong educational background with a BS and 5 years of experience or an MS with 3 years in engineering disciplines such as computer science or robotics. Experience leading machine learning teams or product ownership in robotics is essential, along with solid technical knowledge and project management skills in both Agile and Waterfall methodologies.

At Torc, we believe in cultivating talent. As a Senior Technical Product Manager - ML Operations Tools and Services, you will have opportunities for professional development, including training in product management. We also provide a collaborative and energetic company culture that encourages innovation and fresh ideas, allowing you to grow alongside your projects.

A Senior Technical Product Manager - ML Operations Tools and Services at Torc should be well-versed in data-driven machine learning pipelining and familiar with tools like Jira and Confluence. Additionally, knowledge of deploying models on NVIDIA hardware and verifying ROS components in autonomous driving contexts would significantly enhance your effectiveness in this role.

The expected salary range for a Senior Technical Product Manager - ML Operations Tools and Services at Torc is between $177,300 and $212,800. This competitive compensation package often includes a bonus component, stock options, and comprehensive benefits that support your health and work-life balance.

When answering this question, highlight specific projects where you've led machine learning initiatives. Discuss the methodologies you applied, the challenges you faced, and how you overcame them. Be sure to illustrate the impact your work had on the company's objectives.

To effectively answer this question, discuss your approach to prioritization. Mention frameworks or techniques you use, such as the Eisenhower Matrix or MoSCoW prioritization. Emphasize the importance of aligning with stakeholder needs and business goals when making decisions.

Discuss your experience with tools like Jira or Confluence and explain how you use them to manage projects, track progress, and facilitate communication among teams. Providing specific examples of how these tools have helped you in previous roles will showcase your practical knowledge.

Effective communication with engineering teams is key to successful project management. Share your strategies, such as regular check-ins, using visual aids to clarify concepts, tailoring your communication style to the audience, and fostering an open and collaborative environment.

When answering this question, provide a concrete example of a project that faced challenges. Discuss the specific issues that arose, how you analyzed the situation, the steps you took to get back on track, and the lessons learned from the experience.

Describe your understanding of agile methodologies and how you implement them in projects. Provide examples of agile practices you've successfully utilized, such as sprint planning, daily stand-ups, retrospective meetings, and how you've fostered continuous improvement within your teams.

Discuss your methods for gathering user feedback, such as surveys, interviews, and usability tests. Highlight your analytical skills in interpreting data and making informed decisions to enhance product features and user experience based on that feedback.

When responding, choose a technical term relevant to the role, and demonstrate your ability to simplify and explain it clearly. Use analogies or relatable examples to ensure the audience understands the concept without being overwhelmed by jargon.

Share your commitment to continuous learning by mentioning specific resources you follow, such as industry newsletters, academic journals, podcasts, or networking events. This shows your passion for the industry and your proactive approach to professional development.

When addressing this question, reflect on current trends and challenges facing the industry, such as regulatory hurdles, safety concerns, and technological limitations. This not only shows your awareness of the subject but also your ability to think critically about potential solutions.