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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for B2B SaaS, with a strong focus on platform architecture, data modeling, and AI integration. Proven ability to drive platform adoption and collaborate with cross-functional teams to achieve business outcomes.
Highest-signal resume keywords
Product Management ExperiencePlatform Architecture DefinitionAI and Generative AI KnowledgeData Modeling and APIsLegal Technology Experience
ATS Keywords
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Hard Skills
Product ManagementPlatform ArchitectureData ModelingAPIsAI and Generative AICloud-Native ArchitectureService-Oriented ArchitectureSecurityMulti-TenancyAI/ML Product Shipping
Soft Skills
Cross-Functional Team LeadershipInfluence Without Authority
Industry Keywords
B2B SaaSLegal TechnologyProfessional ServicesEnterprise EnvironmentsData SecurityPrivacy ComplianceRegulated Industries
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own the vision, strategy, and multi-year roadmap for the Firm Intelligence Platform
- Drive platform adoption, customer impact, and business outcomes across Litera’s product portfolio
- Define platform architecture requirements with Engineering and Architecture, including data models, ingestion patterns, APIs, extensibility, security, and scalability
- Decide when AI capabilities and MCP services should be used versus traditional APIs and integrations
- Engage law firm leaders, practitioners, and IT stakeholders to understand data and intelligence needs
- Translate customer needs into personas, use cases, and prioritized requirements
- Make and document build-versus-buy, sequencing, and trade-off decisions
- Define success metrics, instrument the platform for adoption and performance, and adjust priorities using data
- Partner with Marketing, Sales, and Customer Success on positioning, packaging, and launch
- Equip go-to-market teams with narratives for technical and executive audiences
Requirements
What you’ll need- 5+ years of product management experience in B2B SaaS
- At least 3 years owning platform, data, or infrastructure products
- Experience building platform products and defining platform architecture
- Working knowledge of AI and generative AI, including LLMs, retrieval, and agents
- Understanding of Model Context Protocol (MCP) and agent-facing service design
- Technical fluency in data modeling, APIs, cloud-native and service-oriented architectures, security, and multi-tenancy
- Ability to lead cross-functional teams through influence without direct authority
- Hands-on experience shipping AI/ML products or defining MCP servers and tools in production is preferred
- Experience in legal technology, professional services, or complex enterprise environments is preferred
- Background as a software engineer, data engineer, or solutions architect is preferred
- Familiarity with data security, privacy, and compliance requirements in regulated industries is preferred
Benefits
Comp & perks- Medical, dental, and vision coverage
- Retirement savings plan with company match
- Incentive and recognition programs
- Career development
- Meaningful stretch opportunities
- Hybrid work arrangement
- Reasonable accommodations throughout the recruitment process