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Dilitrust

AI-driven contract lifecycle management platform

Product Manager

Product ManagementPosted on Nov 5
Full-timeWilmington, DE, USANo salary listed

About the Job

Requirements

  • At least 5 years of product management experience, including managing B2B SaaS or enterprise software products through discovery, delivery, and iteration, and the ability to explain decisions, supporting evidence, and post-launch outcomes.
  • Experience turning complex business workflows into clear requirements and usable software.
  • Ability to balance requests from customer-facing teams with shared product strategy, discuss deal-blocking requests with Sales, and work through feasibility and scope with Engineering while focusing on the underlying problem.
  • Strong prioritization skills, including making difficult trade-offs and explaining them respectfully.
  • Technical fluency with APIs, integrations, data models, and access controls sufficient to work closely with Engineering and product stakeholders.
  • Hands-on use of AI tools in product work, with an approach to validating outputs and protecting confidential information.
  • Experience managing product backlogs and sprint priorities in Jira or a similar product-management environment.
  • Strong analytical and communication skills, including defining success measures and collaborating across teams and time zones.

Responsibilities

  • Understand US legal and governance teams' workflows and customer friction by working with Customer Success, Customer Care, Sales, Project Management, and Account Management; use customer feedback and interviews, product usage, support feedback, and market research to distinguish recurring needs from one-off requests.
  • Maintain an evidence-based roadmap and backlog across assigned products; weigh customer value, commercial impact, product strategy, and technical complexity, explain priorities and trade-offs, and bring US market needs to the broader Product team.
  • Own product backlog and sprint organization in Jira for the assigned scope, translate agreed priorities into sprint-ready work, coordinate sprint priorities with Engineering, and keep scope, priorities, and status current throughout delivery.
  • Partner with Product Design and Engineering to explore solutions and validate assumptions; write problem statements, functional requirements, and acceptance criteria, including edge cases and permissions, and provide implementation context to Engineering.
  • Help execute functional tests based on requirements, acceptance criteria, workflows, permissions, and edge cases; document findings, confirm expected behavior, and help verify fixes before release.
  • Work with Engineering to reproduce and document defects, clarify product impact, prioritize issues, and retest fixes when needed.
  • Provide product input on whether delivered work meets agreed requirements and acceptance criteria before production release.
  • Help Sales and Customer Success assess product fit, evaluate requests, and prepare proposals; work with Project Management, implementation teams, and integration specialists to distinguish configuration, integration work, and reusable product improvements; keep roadmap communications grounded in confirmed delivery plans.
  • Give Product Enablement context for documentation and training; measure adoption and customer outcomes after release, investigate gaps, and decide what needs to change.
  • Help Customer Care distinguish expected behavior from functional gaps, route improvement requests to the product backlog and defects through the Engineering process, and work with cross-functional partners to identify recurring issues, clarify priorities, and improve product workflows.
  • Use AI in product work, including research synthesis, prototyping, specification drafting, analysis, and workflow automation; check AI-generated work, protect confidential information, identify when human review is needed, and work with Engineering and product stakeholders to define customer problem fit, intended behavior, evaluation criteria, and human controls.

Desired Qualifications

  • Experience in legal technology, corporate governance, compliance, or another regulated software environment.
  • Experience managing priorities across several products.

About the Company

Dilitrust

AI-driven contract lifecycle management platform

Preparing company summary.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$151M
Headquarters
Puteaux, France
Founded
2008

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