Product Manager - FDE
About the role
This role is customer-facing and requires familiarity or keen interest with the legal industry and how legal teams operate in practice. The Product Manager will work directly with corporate customers and Forward Deployed Engineers to ensure bespoke products & integration patterns as part of FDE engagements are well defined, well managed, and intentionally productized into scalable AI product capabilities over time.
Responsibilities
- Customer Engagement & Use-Case discovery: Partner directly with legal stakeholders to understand workflows, pain points, and operational constraints. Oversee execution & delivery and support engagements with customers alongside Forward Deployed Engineers. Translate customer input into clear product requirements and acceptance criteria.
- Backlog & Execution Management: Own & maintain backlogs across FDE engagements, ensuring strong hygiene, prioritization, and transparency. Ensure work is clearly scoped, sequenced, and tracked across discovery, build, validation and hand-off. Support dependency management and execution planning with engineering partners.
- End-End Product Lifecycle Ownership: Manage product work from initial intake through development, launch and transition to core product teams. Ensure decisions, context, and learnings from deployments are well documented and reusable. Support release readiness and communication with internal stakeholders.
- Productizing Bespoke Work: Identify opportunities to convert customer-specific solutions into repeatable product capabilities. Work with Senior Product Managers and core product teams to define when work should remain custom-specific versus when it should be generalized.
Requirements
You’re a fit for the role of Product Manager - FDE, if your background includes:
- 4–6 years of product management experience, ideally in enterprise SaaS or integration / implementation-heavy environments.
- Customer-facing interest or experience with legal teams, legal operations, or related enterprise workflows.
- Strong organizational skills and comfort managing complex backlogs across multiple engagements.
- Ability to translate ambiguous customer needs into clear product requirements.
- Exposure to AI-enabled products, APIs, or workflow platforms is a plus.
Qualifications
Essential qualifications include:
- Bachelor's degree in Computer Science, Engineering, Business Administration, or related field.
- Experience in product management, preferably in enterprise SaaS or integration / implementation-heavy environments.
- Experience with Agile methodologies and project management tools.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills.
Skills
- Strong understanding of AI and machine learning concepts.
- Experience with product development lifecycle.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and deadlines.
- Experience with customer relationship management (CRM) systems.
Benefits
The role offers a competitive benefits package including:
- Flexible vacation, sick, and safe time off.
- Two company-wide Mental Health Days off.
- Access to the Headspace app.
- Retirement savings.
- Tuition reimbursement.
- Employee incentive programs.
- Resources for mental, physical, and financial wellbeing.
- Comprehensive health, dental, and vision insurance.
- Life and AD&D insurance.
- Group Legal Identity Theft Protection benefit.
- Access to Employee Assistance Program.
- Access to 529 Plan.
- Commuter benefits.
- Adoption & Surrogacy Assistance.
- Tuition Reimbursement.
- Access to Employee Stock Purchase Plan.
Pay
The base compensation range for the role in any of the specified locations is $104,900 USD - $194,700 USD in the United States and $93,000 CAD - $143,000 CAD in Ontario, Canada.
Schedule
The role is offered on a hybrid schedule, with 2-3 days a week in the office depending on the role.