Research & Development Program Manager

Cellebrite•New York, NY

About The Position

Cellebrite is seeking an experienced Program Manager based in New York City to drive delivery of its SaaS and AI-powered solutions. The role works closely with R&D teams in the US and the Americas and partners with cross-functional teams in EU time zones. The Program Manager owns the program lifecycle from concept through deployment and uses AI to make delivery faster, more predictable, and more transparent. The role builds and maintains program plans covering requirements, development, AI/ML model readiness, documentation, and SaaS deployment. It leads distributed, cross-functional teams, tracks progress and dependencies, resolves conflicts and blockers, and coordinates releases across multiple SaaS products. As the primary program partner to R&D leaders, architects, and product managers, the Program Manager runs planning cadences and keeps teams aligned on decisions and delivery. The position applies generative AI and AI/BI insights to program operations, including reporting, risk detection, meeting summaries, roadmap analysis, documentation, and delivery metrics. It also identifies opportunities to adopt AI in delivery processes, coaches teams on practical use, champions program-management best practices and continuous improvement, and provides stakeholders and executives with regular updates on status, risks, and issues.

Requirements

Ability to work effectively in a global matrixed organization and lead through influence.
Proven experience managing programs across distributed teams and time zones, including the US/Americas and EU.
Ability to create short-term and long-term program plans.
Strong analytical, logical, and critical-thinking skills.
Deep understanding of SaaS deployment models, cloud technologies, and Agile methodologies.
Hands-on experience using AI tools, such as LLM assistants and AI features in Jira, Confluence, or Microsoft 365, to improve planning, reporting, and execution.
Working knowledge of AI/ML product lifecycle concepts, including data dependencies, model evaluation, versioning, and responsible-AI and compliance considerations.
Proficiency in Jira and Atlassian tools and in Excel.
Excellent written, verbal, presentation, and executive communication skills.
Up-to-date knowledge of program-management methodology and trends.
B.Sc. in Computer Science, Information Systems, or equivalent.
At least 5 years of program or project management experience with a record of success.
Experience with Agile methodology and project-management tools.
Experience working with R&D and Product teams and closely with architects.
Proven ability to work with multidisciplinary teams including product managers, developers, QA, and DevOps.
Excellent written and verbal English.
Strong problem-solving skills and attention to detail, with a record of delivering complex projects on time and to quality.
Proficiency with project-management tools such as Jira or Asana, version control such as Git, and collaboration platforms such as Slack or Microsoft Teams.
Must be a U.S. Citizen.

Nice To Haves

Data analysis with Excel and BI tools.
Experience with Agile portfolio management, such as SAFe, Jira Align, or similar.
Experience with AI workflow automation or agents for program operations.
Experience in security, digital forensics, or other regulated environments.
PMP, PgMP, SAFe, or similar certification.

Responsibilities

Build and maintain program plans across requirements, development, AI/ML model readiness, documentation, and SaaS deployment.
Lead cross-functional teams across the US, the Americas, and EU time zones to deliver SaaS and AI-enabled capabilities on time and to quality standards.
Apply program methodologies and AI-assisted tools to improve productivity, forecast risks, and remove blockers.
Track progress and dependencies, and proactively resolve conflicts.
Serve as the primary program partner to R&D leaders, architects, and product managers.
Run planning cadences across functions to keep teams aligned and decisions moving.
Manage releases of updates, enhancements, and features across multiple SaaS products.
Coordinate with development, DevOps, and Product to prioritize and schedule smooth deployments.
Use generative AI tools to automate status reporting, risk detection, meeting summaries, roadmap analysis, and documentation.
Define and track delivery metrics, including velocity, cycle time, and predictability, using AI and BI insights to drive improvement.
Identify and lead AI adoption in program and delivery processes, and coach teams on practical use.
Champion program-management best practices and continuous improvement across teams.
Provide internal stakeholders and executives with clear, regular updates on status, risks, and issues.
Bring industry trends and benchmarks into SaaS and AI delivery.