Product Manager, US Market

DiliTrust•Wilmington, DE

8h•Hybrid

About The Position

The Product Manager will shape DiliTrust products for the US market, working across multiple products to turn customer and market input into clear product decisions and guide those decisions through discovery, development, release, and adoption. The role owns product priorities, backlog organization, sprint coordination, and product release decisions within its assigned scope; Engineering leadership owns delivery planning and technical execution. The Product Manager works with customer-facing teams, Product Design, Engineering, and other stakeholders to understand US legal and governance workflows, identify recurring customer needs, set evidence-based priorities, define requirements and acceptance criteria, and support testing, defect triage, and release readiness. After release, the role measures adoption and customer outcomes and identifies needed improvements. AI is part of the company’s business processes and software development. The Product Manager is expected to use AI tools in product work, validate AI-generated outputs, protect confidential information, and collaborate with Engineering and product stakeholders to define customer-focused AI behavior, evaluation criteria, and human controls. R&D remains responsible for reviewing and merging all code, including AI-generated code. The position follows a hybrid schedule: three days in the office each week and remaining workdays remote, subject to business needs and team schedules. Benefits may vary by location, employment status, and plan eligibility; further approved US benefits information will be added by Human Resources.

Requirements

At least 5 years of product management experience.
Experience managing B2B SaaS or enterprise software products through discovery, delivery, and iteration, and ability to explain product decisions, supporting evidence, and post-launch outcomes.
Experience turning complex business workflows into clear requirements and usable software.
Strong prioritization skills, including the ability to make difficult trade-offs and explain 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 data confidentiality.
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.
Ability to balance requests surfaced by customer-facing teams against shared product strategy and to discuss deal-blocking requests with Sales while working through feasibility and scope with Engineering.

Nice To Haves

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

Responsibilities

Understand US legal and governance team workflows and customer friction by working with Customer Success, Customer Care, Sales, Project Management, and Account Management.
Use customer feedback, interviews, product usage, support feedback, and market research to distinguish recurring needs from one-off requests.
Maintain an evidence-based roadmap and backlog across the assigned product scope, balancing customer value, commercial impact, product strategy, and technical complexity.
Communicate product priorities and trade-offs, including what will and will not be done, and bring US market needs into discussions with the broader Product team.
Own the product backlog and sprint organization in Jira; translate priorities into sprint-ready work and coordinate sprint priorities with Engineering.
Partner with Product Design and Engineering to explore solutions, validate assumptions, and write problem statements, functional requirements, and acceptance criteria, including edge cases and permissions.
Provide Engineering with product context needed to implement and validate functional behavior.
Help execute functional test scenarios and product validation based on requirements, workflows, permissions, and edge cases; document findings, confirm expected behavior, and verify fixes before release.
Support defect triage by working with Engineering to reproduce and document issues, clarify product impact, prioritize appropriately, 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 needs, integration work, and reusable product improvements.
Keep roadmap communication grounded in confirmed delivery plans and connect product decisions with customer commitments.
Give Product Enablement context for documentation and training; measure post-release adoption and customer outcomes, investigate gaps, and determine needed changes.
Help Customer Care distinguish expected behavior from functional gaps, route improvement requests to the product backlog, and ensure defects follow the Engineering process.
Work with cross-functional partners to identify recurring issues, clarify priorities, and improve product workflows over time.
Use AI tools in product work such as research synthesis, prototyping, specification drafting, analysis, and workflow automation; validate outputs and protect confidential information.
Work with Engineering and product stakeholders to identify useful customer applications of AI and define intended behavior, evaluation criteria, and human controls.