Machine Learning Product Manager

As an ML Product Manager at Dynamo AI, you will be responsible for ideating and developing new product features to advance our mission of developing AI with safety, privacy, and real-world responsibility in mind. You will be responsible for delivering novel ML product features for our DynamoGuard product. Working closely with research, engineering, and design teams, you will translate cutting-edge research to real-world customer value. This role is a unique opportunity to help shape the future of AI and craft innovative and valuable user experiences. 

• Product ownership, taking on responsibilities covering the full product lifecycle— from defining product vision to detailing product requirements and overseeing product development and launch
• Developing a deep understanding of customer pain-points, strategic opportunities, and technologies to inform product requirements in the Machine Learning domain
• Work closely with cross-functional teams across research, engineering, design, and policy to introduce groundbreaking AI solutions, bridging the gap between cutting-edge research and real-world production scenarios
• Evaluate product performance and customer feedback meticulously. Iterate on features and functionalities to constantly elevate the user experience and maintain product leadership in the rapidly evolving AI landscape

• Demonstrated experience building research-driven ML solutions. Experience with CV or LLMs is a plus.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Physics, Applied Sciences, or a related field
• Proven ability to create clarity and drive focus in dynamic, fast-paced environments.
• Strong technical acumen and willingness to delve into the intricacies of the technology
• Enjoy building 0-1 products from the ground up

Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates.

Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.