Relativity Inc
Senior Product Manager - ML Ops
Relativity Inc, Chicago, Illinois, United States, 60290
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.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 .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.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, in addition to validating solutions with them for feedback in product discovery.Ensure we are solving business problems with the proper balance between delivering on immediate customer needs while also building capabilities that will deliver mid/long-term success.Evangelize to internal AI application teams about the benefits of adopting AI platform components and tooling.Partner with Engineering in product discovery to build deep alignment on the problems to solve and key results we should target that define success.Act as AI platform SME when external customers have detailed questions about our approach to building and supporting AI products in RelativityOne.Product Leadership:
Own the product roadmap and backlog for your products, focusing on outcomes we want to achieve over features we want to ship.Own the strategy and vision for your products, ensuring that we are maturing quarterly in each aspect of the ML Ops lifecycle.Advocate for Relativity’s AI Principles throughout internal decision-making.Partner with AI service providers like Microsoft to evaluate AI offerings and lead planning on procurement.Possess and apply an in-depth understanding of our AI product suite.Set, track, and report on key product metrics that are relevant to your domain.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.Be well versed in technical aspects of ML Operations and broader AI tooling.Possess the technical acumen needed to understand the challenges faced by our internal customers, including the root cause of production incidents.Cultivate a deep understanding of generative AI technology and large language models.Product Implementation:
Break down large projects into iterative releases.Anticipate the need to create alignment with cross-functional teams to solve problems together.Help the team to translate validated designs and analysis into story cards with acceptance criteria.Preferred qualifications:
Professional experience with ML Ops, AI tooling, generative AI, and LLMs.Very strong proficiency with data.History of working with OKRs (or other outcome-based frameworks).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.Compensation:
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 target of 10%, and long-term incentives.Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless of how you identify.Benefit Highlights:Comprehensive health, dental, and vision plans.Parental leave for primary and secondary caregivers.Flexible work arrangements.Two, week-long company breaks per year.Unlimited time off.Long-term incentive program.Training investment program.
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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.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 .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.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, in addition to validating solutions with them for feedback in product discovery.Ensure we are solving business problems with the proper balance between delivering on immediate customer needs while also building capabilities that will deliver mid/long-term success.Evangelize to internal AI application teams about the benefits of adopting AI platform components and tooling.Partner with Engineering in product discovery to build deep alignment on the problems to solve and key results we should target that define success.Act as AI platform SME when external customers have detailed questions about our approach to building and supporting AI products in RelativityOne.Product Leadership:
Own the product roadmap and backlog for your products, focusing on outcomes we want to achieve over features we want to ship.Own the strategy and vision for your products, ensuring that we are maturing quarterly in each aspect of the ML Ops lifecycle.Advocate for Relativity’s AI Principles throughout internal decision-making.Partner with AI service providers like Microsoft to evaluate AI offerings and lead planning on procurement.Possess and apply an in-depth understanding of our AI product suite.Set, track, and report on key product metrics that are relevant to your domain.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.Be well versed in technical aspects of ML Operations and broader AI tooling.Possess the technical acumen needed to understand the challenges faced by our internal customers, including the root cause of production incidents.Cultivate a deep understanding of generative AI technology and large language models.Product Implementation:
Break down large projects into iterative releases.Anticipate the need to create alignment with cross-functional teams to solve problems together.Help the team to translate validated designs and analysis into story cards with acceptance criteria.Preferred qualifications:
Professional experience with ML Ops, AI tooling, generative AI, and LLMs.Very strong proficiency with data.History of working with OKRs (or other outcome-based frameworks).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.Compensation:
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 target of 10%, and long-term incentives.Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless of how you identify.Benefit Highlights:Comprehensive health, dental, and vision plans.Parental leave for primary and secondary caregivers.Flexible work arrangements.Two, week-long company breaks per year.Unlimited time off.Long-term incentive program.Training investment program.
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