Sr.
Product Manager - ML Ops Apply
Remote Type: Product Management
Locations: Illinois
Time Type: Full time
Posted on: Posted 16 Days Ago
Job Requisition ID: 24-0287
Posting Type: Hybrid
Job Overview 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.
Job Description and Requirements In this role, you will: 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. 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. Build user empathy and a deep understanding of user needs amongst your team and the broader business. Oversee AI service procurement with a strategic approach that ensures capacity planning, cost-effectiveness, and the enhancement of broader product capabilities. Evangelize AI platform infrastructure and tooling to drive adoption of generative AI and LLM capabilities. Customer Centric: Connect frequently with internal customers in Data Science and AI application teams to gain a deep understanding of their day-to-day needs and business goals. Act as AI platform SME when external customers have detailed questions about our approach to building and supporting AI products in RelativityOne. Partner with Engineering in product discovery to build deep alignment on the problems to solve and key results we should target. Evangelize to internal AI application teams about the benefits of adopting AI platform components and tooling. Ensure we are solving business problems with the proper balance between delivering on immediate customer needs while also building capabilities for mid/long-term success. Product Leadership: Own the product roadmap and backlog for your products, focusing on outcomes we want to achieve over features we want to ship. Set, track, and report on key product metrics that are relevant to your domain. Possess and apply an in-depth understanding of our AI product suite. Partner with AI service providers like Microsoft to evaluate AI offerings and lead planning on procurement. Advocate for Relativity's AI Principles throughout internal decision-making. Own the strategy and vision for your products, ensuring that we are maturing quarterly in each aspect of the ML Ops lifecycle. Technical Leadership: Work closely with your Engineering counterparts to ensure that the team delivers a product that meets our scalability, reliability, usability, observability, efficiency, and performance standards. Cultivate a deep understanding of generative AI technology and large language models. Possess the technical acumen needed to understand the challenges faced by our internal customers. Be well versed in technical aspects of ML Operations and broader AI tooling. Product Implementation: Break down large projects into iterative releases. Help the team to translate validated designs and analysis into story cards with acceptance criteria. Anticipate the need to create alignment with cross-functional teams to solve problems together. Preferred Qualifications: Professional experience with ML Ops, AI tooling, generative AI, and LLMs. History of working with OKRs or other outcome-based frameworks. Very strong proficiency with data. 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. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between $140,000 and $210,000.
The final offered salary will be based on several factors.
About Us: We're solving big data challenges in the legal tech industry, and we're always looking for more people to join us on the journey.
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