Senior Product Manager - ML Ops

at  Relativity

Are you looking to be in a workplace where colleagues inspire one another? Are you interested in competitive and impactful benefits? Do you prefer flexible work arrangements?
At Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery SaaS platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects.
The Product Management team is looking for a Senior Product Manager to lead the product roadmap and success of Relativity’s ML Operations and AI Services functions. These teams oversee the AI platform infrastructure and tooling that are used by AI application teams and Data Science teams to design, develop, and operate AI solutions at scale, with a focus on generative AI-powered innovation.

PREFERRED QUALIFICATIONS

• Professional experience with ML Ops (including working throughout the model lifecycle), AI tooling, generative AI, and LLMs
• Very strong proficiency with data, including ability to use data to analyze and monitor product health, set goals, back up assumptions, and track success.
• History of working with OKRs (or other outcome-based frameworks) that prioritizes outcomes over feature lists

MINIMUM QUALIFICATIONS

• 5+ years of experience in software product management with 3+ years in AI specifically
• Formal / collegiate education is not required to be considered for this role

• Lead product development teams that build AI platform solutions to power RelativityOne’s AI feature set, including aiR for Review, while adhering to Relativity’s AI Principles
• Evangelize AI platform infrastructure and tooling to drive adoption of generative AI and LLM capabilities (e.g.leveraging GPT-4o) that deliver on product needs and operate at massive scale
• Oversee AI service procurement with a strategic approach that ensures capacity planning, cost-effectiveness, and the enhancement of broader product capabilities, ultimately driving world-class customer experiences.
• Build user empathy and a deep understanding of user needs amongst your team and the broader business
• The ideal candidate will have substantive AI experience, especially in the AI model lifecycle. They will bias towards data and have a strong proficiency in using data to monitor product health, set ambitious goals, and track success. They will passionately advocate for the benefits of our AI platform products and give confidence to the business and our customers that the world’s most powerful AI tooling for Legal Data Intelligence is underpinned by a reliable, highly-efficient, and principled foundation.