Note: The job is a remote job and is open to candidates in USA. Cornerstone Research is a consulting firm specializing in economic and financial analysis for complex disputes. They are seeking a Product Manager to define, build, and scale AI-enabled products, owning the full breadth of product management across their Data Science Center's initiatives.
Responsibilities
- Own products end-to-end across the Data Science Center’s growing portfolio, with accountability for product outcomes and user impact across the full lifecycle, including (but not limited to):
- Leading discovery and validation efforts to engage users and stakeholders, surface unknowns, synthesize qualitative insights, and define product scope and success criteria before committing
- Driving delivery execution, coordinating across designers, engineers, data scientists, and consultants while tracking timelines, risks, dependencies, and scope drift to surface tradeoffs and ensure delivery readiness
- Establish and own Cornerstone Research’s product operating model, shaping lightweight practices for planning, prioritization, and delivery that fit team capacity and firm-specific constraints
- Communicate product direction and drive adoption, translating plans, timelines, and tradeoffs into clear updates for senior stakeholders, while enabling user feedback, rollout, training, and effective use of delivered tools
Skills
- 4–6 years of experience in product management or a closely related role, with demonstrated end-to-end ownership conceiving, shaping, and delivering multiple software products
- Proven ability to frame product problems and commit to prioritization or sequencing decisions in situations with incomplete information or competing constraints, and to defend those decisions to stakeholders
- Strong product sense, with the ability to interpret user needs, synthesize qualitative input, and identify when additional discovery or validation is needed
- Experience driving structured product execution, including maintaining feature backlogs, writing specifications and acceptance criteria, and coordinating across design and engineering partners
- Strong communication skills, with the ability to clearly articulate priorities, tradeoffs, and progress to both technical teams and senior stakeholders, including executives
- Comfort working in fast-paced, evolving environments and willingness to learn and adopt new tools and workflows, including using AI-assisted techniques to support early product exploration and prototyping
- Ability to reason about AI-product tradeoffs, including human-in-the-loop workflows, accuracy, explainability, and trust, in collaboration with engineering and data science partners
- Experience adapting common product development and delivery patterns, with the judgment to tailor processes to the organization's constraints and operating context
- Experience using AI-powered coding assistants as part of lightweight prototyping to explore and refine product ideas, communicate product intent, and validate workflows with engineers and stakeholders before committing to build
- Familiarity with internal-facing products, data platforms, or enterprise tools used by professional or knowledge-based organizations
Benefits
- Starting bonus
- Discretionary bonus based on performance and other factors
- Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website
- Visa support to full-time candidates
Company Overview
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