Program Manager

As a Program Manager (AI Native), you will drive delivery across a multi-product program—owning cross-functional outcomes for a product line, anticipating problems before they surface, forcing timely decisions, removing blockers across teams, and holding product, engineering, and partner teams to their commitments. You are a driver and a doer: you act without waiting to be asked, you own the outcome, and you never confuse reporting on delivery with delivering. Status reporting is an output of this role, not the job itself.

You will operate in an environment with multiple products, many cross-functional stakeholders, and competing priorities. You will manage program scope, schedule, resources, communications, risks, issues, cross-product dependencies, roadmap capacity, and release readiness, and ensure that Wrike, Agility (or Jira or other ALM), Smartsheet, Domo, and related planning systems accurately reflect reality so they can be used to act, not just to report.

AI gives you leverage. You bring judgment. You remain accountable for validating AI-assisted outputs, protecting sensitive information, and making delivery decisions that are accurate, transparent, and aligned to business needs.

Key Outcomes

· Drive program, release, and roadmap commitments across multiple products and teams to completion, with predictable, on-time delivery.

· Get ahead of cross-product risks, dependencies, and slippage—act on them and drive them to resolution before they become delivery problems.

· Force clarity on competing priorities: bring executives and stakeholders the decisions, trade-offs, and escalations needed to keep the program on track, not just status updates.

· Keep program delivery data in Wrike, Agility (or Jira or other ALM), Smartsheet, and Domo accurate, current, and traceable across products so it can be used to make decisions and trigger action.

· Ground program and release commitments in real team and roadmap capacity across the product line.

· Ensure every release is ready across product, engineering, and cross-functional teams.

· Use AI, analytics, and approved agentic AI tools responsibly to anticipate risks, forecast capacity, and accelerate delivery decisions.

Success Measures / Accountable Outcomes

· Program and release commitments across the product line are met with strong say/do, predictability, and minimal spillover.

· Project Managers assigned to the product line’s delivery teams, whether direct or dotted-line reports, consistently meet their delivery commitments and keep their project data accurate and current.

· Cross-product risks, issues, dependencies, and slippage are anticipated early and driven to resolution, not just surfaced.

· Competing priorities are resolved through timely, well-framed decisions; stalled decisions are escalated before they put delivery at risk.

· Wrike, Agility (or Jira or other ALM), Smartsheet, and Domo data is accurate, current, and traceable, with the program RAID log updated at least weekly.

· Program and release commitments reflect real team and roadmap capacity.

· Releases are ready on time across all cross-functional teams.

· Agentic software development KPIs are tracked, understood, and acted on, so AI-agent contributions improve delivery speed and quality without adding hidden rework or risk.

· Executives and cross-functional stakeholders get timely decisions, trade-offs, and escalations that keep delivery on track, backed by transparent reporting on actual program health and progress.

· AI-assisted work is reviewed, validated, and used responsibly. 

• →Serve as the accountable program manager for a product line; own end-to-end program delivery outcomes across multiple products, teams, and releases.
• →Hold the Project Managers assigned to the product line’s delivery teams accountable for their delivery commitments, whether they report directly to this role or on a dotted-line basis; set clear expectations, review their plans, RAID logs, and delivery data, intervene early when commitments are at risk, and escalate performance concerns to their line manager as needed.
• →Plan and drive cross-organization programs using Agile and traditional program management practices; translate roadmap and portfolio priorities into integrated program plans, milestones, and release commitments.
• →Personally drive the work forward: anticipate obstacles, identify cross-product trends before they become delivery problems, take early corrective action, and escalate when appropriate—without waiting to be asked.
• →Navigate competing priorities across products and stakeholders; surface conflicts early, frame options and trade-offs, drive decisions to closure, and hold owners accountable for follow-through.
• →Manage program scope, schedule, budget, resources, communications, cross-product and cross-team dependencies, and delivery progress.
• →Regularly communicate with and manage expectations of executive stakeholders; represent the product line’s programs, plans, timelines, risks, and required decisions in a concise, action-oriented way.
• →Serve on the product leadership team alongside development and product management; foster effective communication and alignment across product areas and cross-functional partners.
• →Maintain accurate, current program information in Wrike, including release milestones and a program-level RAID log updated at least weekly; ensure risks, assumptions, issues, and dependencies across products are visible, owned, actively managed, and escalated as needed.
• →Keep Smartsheet program plans, trackers, and status reporting updated so they accurately reflect current milestones, progress, risks, and dependencies, and use them to drive follow-through on actions and owners.
• →Ensure Agility, Jira, or other ALM data is accurate and traceable across the product line, including correct release/project tagging, accurate capability and feature mapping, and alignment from roadmap and PRD capabilities through FDDs and execution artifacts.
• →Partner with product, engineering, and leadership to manage roadmap and release capacity across multiple teams, including realistic commitments, sequencing, cross-team dependency impacts, and trade-off visibility; challenge commitments that are not grounded in real capacity.
• →Drive risk management and impediment removal across products; distinguish risks from issues, assign owners and due dates, document decisions and actions, and escalate early with clear options and a recommendation.
• →Use Domo and other approved reporting to monitor agile and delivery metrics across teams, including churn, say/do, quality, feature progress, spillover, and delivery health, along with agentic software development KPIs such as the share of work completed by AI agents, agent task success and acceptance rates, human review and rework rates, defect escape on AI-generated code, and cycle-time impact, to decide where to intervene; turn insights into specific actions with owners and dates rather than simply reporting status.
• →Coordinate with cross-functional teams (product, engineering, quality, implementation, support, training, and go-to-market) to ensure release readiness; drive readiness gaps to closure before release.
• →Coordinate and facilitate user-feedback sessions throughout the development life cycle, and ensure feedback is converted into actionable decisions.
• →Keep the broader organization aware of the product line’s activities, upcoming releases, and impacts.
• →Serve as a subject matter expert in work item tracking and project tracking software.
• →Manage vendor contracts and relationships for the product line.
• →Ensure compliance with regulatory requirements and maintain documentation for audit readiness.
• →Follow established PMO and product delivery processes; evaluate and optimize processes within the PMO and product line, and lead improvements when a process is not achieving its intended outcome.
• →Support development and implementation of agentic AI-enabled PMO workflows, including requirements input, workflow design, validation, adoption support, and ongoing performance monitoring.
• →Mentor Project Managers and Agile Project Managers on proactive delivery practices and responsible AI use; may serve as a direct line manager for Project Managers.
• →Model and foster a culture of ownership, accountability, innovation, transparency, continuous improvement, and learning.

• Use approved AI-enabled and agentic AI tools to anticipate risks, forecast capacity, monitor team health across products, and accelerate planning and delivery decisions; use AI to reduce time spent compiling status so more time goes to driving outcomes.
• Review and validate AI-generated summaries, status reports, forecasts, risk assessments, and recommendations before use.
• Ensure underlying data quality, traceability, and governance support reliable AI-enabled insights.
• Do not expose confidential, customer, production, proprietary, credential, or restricted data through AI tools unless explicitly approved.
• Escalate inaccurate, incomplete, biased, insecure, or unclear AI outputs.
• Maintain human ownership of delivery decisions, commitments, escalations, and final deliverables.