Job Description
The Senior Product Manager will lead the strategy, planning, development, and launch of AI-powered products supporting Sidley's transactional legal practices. This person will partner closely with attorneys, engineering, IT, knowledge management, marketing, and business stakeholders to build AI solutions that improve attorney efficiency and transform how legal work is delivered.
The role owns product vision within their portfolio, develops 1-2 year roadmaps, and manages multiple AI products across different practice groups.
Required Qualifications (Must Haves)
- Bachelor's degree in Computer Science, Engineering, or related field
- Minimum of 5 years of Product Management or Product Development leadership experience
- Experience working within Agile methodologies
- Experience with product management tools (Jira preferred)
- Demonstrated ability to make data-driven decisions
Ideal Candidate Profile
The hiring manager is looking for an experienced enterprise Product Manager who understands AI, rather than a deeply technical AI engineer who transitioned into Product Management.
Core Product Management Skills
- Owns products from ideation through launch
- Creates product strategy and roadmap
- Writes user stories and manages product backlogs
- Works closely with design and engineering teams
- Strong executive presence and stakeholder management
- Excellent written and verbal communication
- Results-oriented with measurable business outcomes
- Can clearly articulate problems, solutions, and product impact
AI Experience
- Candidates should have practical AI product exposure and be comfortable discussing:
- AI-powered product development
- LLMs (Claude, ChatGPT, Anthropic, etc.)
- Prompt engineering
- AI product architecture
- AI product tradeoffs and implementation
- Experience shipping AI features is strongly preferred
Current AI technologies we use today:
- Claude
- Anthropic
- ChatGPT
- Internal AI tools
- Databricks
- Enterprise data architecture
Preferred Industry Background
- Legal Technology (Relativity, Litera, iManage)
- Professional Services
- Financial Services
- Enterprise B2B SaaS
- Healthcare AI
- Enterprise software organizations
Candidates do not need prior legal experience if they have strong enterprise product management experience and can quickly learn the legal domain.
Stakeholder Environment
This role partners extensively with:
- Transactional attorneys
- M&A teams
- Investment funds
- Tax practices
- Engineering
- IT
- Knowledge Management
- Marketing
- Executive leadership
Success requires influencing highly educated, non-technical stakeholders and translating complex business problems into scalable AI products.
Job Responsibilities
The Senior Product Manager is responsible for leading the planning, development and management of AI-driven products and services within the firm. This role involves overseeing the entire product lifecycle, from ideation to execution and launch, ensuring that AI products meet market demands and deliver high value to customers. This role blends expertise in artificial intelligence, product management, and leadership to ensure the successful execution of AI initiatives aligned with business goals. The Senior Product Manager will collaborate closely with internal teams, including legal stakeholders, engineering, IT, knowledge management, and marketing, to create innovative AI solutions that drive business outcomes.
Duties and Responsibilities:
- Define and drive the product strategy and roadmap for AI-powered solutions in alignment with the firm's goals.
- Maintain a robust roadmap for AI products, balancing near-term customer needs with long-term vision.
- Stay informed of advancements in AI/ML technologies, cloud infrastructures, and software development methodologies to inform product decisions and foster innovation.
- Stay abreast of AI trends, customer feedback, and the competitive landscape to identify growth opportunities and maintain a competitive edge.
- Identify opportunities to integrate AI across the firm's application and product portfolio.
- Manage the lifecycle of AI products, including ideation, development, launch, and iteration.
- Influence leadership on issues within the professional discipline and foster cross-departmental collaboration to ensure the successful execution of AI initiatives.
- Define and prioritize product features based on customer needs, market research, and technical feasibility.
- Foster cross-departmental collaboration to ensure seamless delivery of AI projects.
- Collaborate with key stakeholders to understand their AI workloads, pain points, and future requirements.
- Collaborate with stakeholders to establish product goals, KPIs, and success metrics.
- Engage with stakeholders to gather insights and feedback on AI solutions.
- Ensure that AI-driven products address real-world problems and provide measurable value.
- Develop creative solutions and make improvements to processes, programs, and policies to enhance the effectiveness and efficiency of AI-driven products.
- Oversee the integration of AI models into various workflows, ensuring high-performing production AI and ML products.
- Implement and uphold responsible AI development practices to ensure ethical, transparent, and fair usage of AI technologies.
Education and/or Experience:
Required:
- Bachelor's degree in Computer Science, Engineering, or a related field
- A minimum of 5 years of experience in product management or product development leadership
- Experience with agile methodologies and product management tools
- Demonstrated ability to make data-driven decisions
Preferred:
- Master's degree in Computer Science, Engineering, or a related field
- Juris Doctor degree
Other Skills and Abilities:
The following will also be required of the successful candidate:
- Strong organizational skills
- Strong attention to detail
- Good judgment
- Strong interpersonal communication skills
- Strong analytical and problem-solving skills
- Able to work harmoniously and effectively with others
- Able to preserve confidentiality and exercise discretion
- Able to work under pressure
- Able to manage multiple projects with competing deadlines and priorities