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Product Manager

2 months ago

Chicago, Illinois, United States Relativity Inc Full time
About the Role

We are seeking a highly skilled Senior Product Manager to lead the product roadmap and success of Relativity's AI Operations and AI Services functions. This role will 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.

Key Responsibilities
  • Lead Product Development Teams: Manage 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: 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: Ensure capacity planning, cost-effectiveness, and the enhancement of broader product capabilities, ultimately driving world-class customer experiences.
  • Build User Empathy: Develop a deep understanding of user needs amongst your team and the broader business.
  • Advocate for AI Platform Products: Passionately advocate for the benefits of our AI platform products.
Customer Centric
  • Connect with Internal Customers: 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 Business Problem Solving: 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 Teams: Evangelize to internal AI application teams about the benefits of adopting AI platform components and tooling.
  • Partner with Engineering: 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: 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 Product Roadmap and Backlog: Own the product roadmap and backlog for your products, focusing on outcomes we want to achieve over features we want to ship.
  • Own Strategy and Vision: Own the strategy and vision for your products, ensuring that we are maturing quarterly in each aspect of the ML Ops lifecycle.
  • Advocate for AI Principles: Advocate for Relativity's AI Principles throughout internal decision-making.
  • Partner with AI Service Providers: Partner with AI service providers like Microsoft to evaluate AI offerings and lead planning on procurement.
  • Possess In-Depth Understanding: Possess and apply an in-depth understanding of our AI product suite.
  • Set and Track Key Metrics: Set, track, and report on key product metrics that are relevant to your domain.
Technical Leadership
  • Work with Engineering Counterparts: 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: Be well-versed in technical aspects of ML Operations and broader AI tooling.
  • Possess Technical Acumen: Possess the technical acumen needed to understand the challenges faced by our internal customers, including the root cause of production incidents.
  • Cultivate Understanding of Generative AI: Cultivate a deep understanding of generative AI technology and large language models.
Product Implementation
  • Break Down Large Projects: Break down large projects into iterative releases.
  • Anticipate Need for Alignment: Anticipate the need to create alignment with cross-functional teams to solve problems together.
  • Help Team Translate Designs: Help the team to translate validated designs and analysis into story cards with acceptance criteria.
Preferred Qualifications
  • Professional Experience with ML Ops: Professional experience with ML Ops, AI tooling, generative AI, and LLMs.
  • Strong Proficiency with Data: Very strong proficiency with data.
  • History of Working with OKRs: History of working with OKRs (or other outcome-based frameworks).
Minimum Qualifications
  • 5+ Years of Experience: 5+ years of experience in software product management with 3+ years in AI specifically.
  • Formal Education Not Required: Formal / collegiate education is not required to be considered for this role.
Compensation
  • Competitive Compensation: Relativity is committed to competitive, fair, and equitable compensation practices.
  • Total Compensation: This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus target of 10%, and long-term incentives.

We are 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.