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- Contract
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Litera

Senior Product Manager

Toronto, ON, Canada
Canada-Toronto, ON-Office, Canada

Full-time

Apply on litera.wd12.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of product management experience in B2B SaaS, including at least 3 years owning platform, data, or infrastructure products.
Posting language: English
Posted: Oct 27, 2026

Original job description

Ready to Help Shape the Future of Legal Tech?!

At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar™ for what’s possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you’re energized by scale, real impact, and meaningful challenges, you’ll feel right at home here.

Where You’ll Work

Hybrid: This is a hybrid role based in Toronto, Raleigh, or Denver with the expectation to be in office at least 3 days a week for collaboration and connection.

Why this Role Matters

As a Senior Product Manager, you’ll own the vision, strategy, and roadmap for Litera’s Firm Intelligence Platform - the foundational layer that turns the data flowing through a law firm’s work into intelligence that Litera’s products and customers can act on with confidence. You’ll partner with Engineering, Architecture, and cross-functional leaders to define platform architecture, make critical build-versus-buy decisions, and apply an AI-first approach to designing services that work for agents, people, and integrations alike. This is a zero-to-one opportunity with high visibility across the organization, where your ability to bridge deep technical fluency with customer insight and business strategy will directly shape Litera’s next generation of products. If you’re energized by building platforms that power an entire product ecosystem, this is your role.

What You’ll Deliver

Own the vision, strategy, and multi-year roadmap for the Firm Intelligence Platform - driving 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 - applying an AI-first approach to where AI capabilities and MCP services deliver the most value.

Engage directly with law firm leaders, practitioners, and IT stakeholders to deeply understand how firms use data and intelligence - translating those needs into clear personas, use cases, and prioritized requirements.

Make and document build-versus-buy, sequencing, and trade-off decisions that balance near-term customer value with long-term platform health.

Define success metrics, instrument the platform for adoption and performance, and use data to continuously adjust priorities and demonstrate value.

Partner with Marketing, Sales, and Customer Success on positioning, packaging, and launch - equipping them with clear narratives for both technical and executive audiences.

Litera is committed to providing reasonable accommodations throughout the recruitment process. If you need an accommodation, please let us know and we’ll work with you to meet your needs.

What You’ll Bring

Must-Haves:

5+ years of product management experience in B2B SaaS, including at least 3 years owning platform, data, or infrastructure products.

Proven experience building platform products and defining platform architecture - such as data platforms, API and integration layers, or shared services consumed by multiple products or teams.

Working knowledge of AI and generative AI (LLMs, retrieval, agents), including practical trade-offs in quality, cost, latency, and trust, with an AI-first mindset for designing capabilities usable by agents, people, and conventional integrations.

Strong technical fluency with engineers and architects on data modeling, APIs, cloud-native and service-oriented architectures, and security and multi-tenancy.

Demonstrated ability to lead cross-functional teams through influence, without direct authority.

Bachelor’s degree or equivalent practical experience.

Nice to Haves:

Hands-on experience shipping AI/ML products (such as search, retrieval, or generative AI) or defining MCP servers and tools in production.

Experience in legal technology, professional services, or enterprise environments with complex, document-heavy, data-heavy workflows.

Background as a software engineer, data engineer, or solutions architect, with a track record of taking products from zero to one.

Familiarity with data security, privacy, and compliance requirements in regulated industries, including law firm confidentiality expectations.

Great candidates don’t check every box. If this role excites you but your experience doesn’t perfectly match every qualification, we encourage you to apply. You may be just the right person for this or another role at Litera.

What You’ll Experience

• A team that shows up. Work alongside people who collaborate, support one another, and lead with integrity.

• Global Reach. Partner with teams around the world to solve complex challenges that matter.

• Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.

• AI-driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting-edge AI.

Pay Transparency for Ontario Applicants

The base salary range for this role is $120,000 to $150,000 CAD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to earn commission based on performance. In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, retirement savings plan with company match, and incentive and recognition programs. Benefits are subject to eligibility requirements.

Pay Transparency for Colorado Applicants

The base salary range for this role is $125,000 USD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to participate in a company bonus plan. In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company match, and incentive and recognition programs. Benefits are subject to eligibility requirements.

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply on litera.wd12.myworkdayjobs.com About employer

More about this job

Responsibilities

You will own the vision, strategy, and roadmap for the Firm Intelligence Platform, driving adoption and business outcomes across the product portfolio. You will partner with engineering and architecture teams to define platform requirements and implement AI-first solutions that enhance data intelligence.

Requirements

Candidates must have at least 5 years of product management experience in B2B SaaS, with a minimum of 3 years focused on platform, data, or infrastructure products. Strong technical fluency in AI, APIs, and cloud-native architectures is required, along with the ability to lead cross-functional teams.

Skills

Product management
B2B SaaS
Platform architecture
Data modeling
Generative AI
LLMs
API design
Cloud-native architecture
Service-oriented architecture
Cross-functional leadership
Strategic planning
Roadmap development
Customer insight
Technical fluency
Data security
AI-first mindset

Benefits

Medical coverage
Dental coverage
Vision coverage
Retirement savings plan
Company match
Incentive programs
Recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Product Manager
B2B SaaS
Firm Intelligence Platform
AI
Generative AI
LLMs
Data modeling
APIs
Cloud-native
Service-oriented architecture
Legal Tech
Platform strategy
Roadmap
Data security
Privacy
Compliance
MCP services
Zero-to-one
Cross-functional leadership
Scalability
Multi-tenancy
Software engineering
Data engineering
Solutions architect
Professional services
Enterprise software
Product ecosystem
Technical fluency
Customer success
Market positioning

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Work requirements

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