Technical Program Manager

We are looking for a Technical Program Manager (L5) who is a firstline program leader responsible for driving execution across one to two engineering teams ensuring predictable delivery crossfunctional alignment and measurable business outcomes. With 58 years of experience this role blends structured program execution with handson coordination risk management and delivery governance.

You will manage program plans track dependencies maintain execution health run Agile ceremonies and partner closely with engineering product design/UX data architecture and QA teams. This role is accountable for transparent reporting issue resolution stakeholder engagement and ensuring programs meet scope quality timeline and compliance expectations.

Core Responsibilities:

• Run endtoend program execution across one to two engineering teams ensuring predictable delivery of commitments.

• Maintain detailed program plans sequencing timelines and dependency maps across engineering product and partner teams.

• Lead Agile ceremonies including planning daily standups backlog grooming reviews and retrospectives.

• Identify track and mitigate program risks blockers and crossteam impacts; maintain RAID visibility.

• Partner with Product Management to ensure requirements clarity grooming quality and alignment around increments and milestones.

• Collaborate with Engineering Managers and Tech Leads to sequence work assess complexity and resolve architectural or resource constraints.

• Produce clear and consistent reporting: delivery health dashboards KPIs burn charts forecasts and executive summaries.

• Facilitate communication and alignment among stakeholders ensuring clarity across teams and minimizing strategyexecution gaps.

• Support estimation capacity planning and quarterly/PIstyle planning for multiteam initiatives.

• Contribute to continuous improvement in delivery practices operational excellence and organizational cadence.

Qualifications :

Required qualifications:

• 58 years of experience in technical program management software delivery or related roles.

• Demonstrated ability to manage programs across 12 engineering teams with predictable execution.

• Strong understanding of Agile frameworks (Scrum Kanban) backlog management and crossteam delivery coordination.

• Experience identifying escalating and resolving delivery risks dependencies and crossfunctional issues.

• Proficiency with structured communication executive reporting and stakeholder management.

• Familiarity with technical concepts including APIs cloud services CI/CD workflows and modern software architectures.

• Bachelors degree in Engineering Computer Science Business or equivalent practical experience.

• Advanced English level (written and spoken) to communicate effectively across global teams.

  Preferred experience:

• Experience in enterprise software consulting engagements or regulated industries such as Life Sciences healthcare medical devices or finance.

• Exposure to AI/ML programs datadriven engineering cloud modernization or distributed systems.

• Experience participating in discovery workshops estimation or SOWrelated planning.

• PMP CSM PMIACP or SAFe PM/PO certification.
  
  Technical skills
  
  Software and delivery leaders at this level are expected to demonstrate familiarity with one or more tools platforms or frameworks in each of the following categories:

• Program & Delivery Tools

  • Jira Azure Boards ClickUp

  • Confluence Notion Miro Mural

  • Roadmap and execution tracking tools (Aha! Roadmaps Portfolio dashboards)

  • OKR tracking and KPI monitoring tools.

• Data & Metrics

  • Velocity throughput cycle time burndown/burnup analysis

  • KPI development and reporting for delivery health

  • Basic SQL or dataquerying for operational insight

• Technical & Architectural Fluency

  • REST APIs microservices fundamentals

  • Cloud platforms (AWS Azure GCP)

  • CI/CD patterns Gitbased workflows DevOps basics

  • Understanding of Kubernetesbased environments (K3s AKS EKS GKE)

• AI & Modern Delivery Context (Awareness)

  • Working knowledge of LLMenabled applications and AIassisted engineering practices

  • Awareness of RAG vector search and common model integration patterns

  • Understanding of guardrails model safety and evaluation workflows (conceptual level).

Soft Skills

• Excellent written and verbal communication with ability to establish clarity across teams.

• Structured problemsolving and comfort with complexity.

• Ability to align stakeholders with competing priorities and maintain delivery focus.

• Leadership presence and strong facilitation skills.

• Bias for execution accountability and transparent decisionmaking.

• Adaptability and resilience in ambiguous or fastchanging environments.
   

Organizational Competencies

• Remote Collaboration: Works effectively in distributed teams using asynchronous communication.

• Continuous Learning: Actively explores new models frameworks and safety techniques.

• Cultural Fit: Embodies Veritas Automatas values of innovation integrity and ownership.

• Strategic Impact: Contributes reusable AI building blocks that accelerate future product delivery.

Additional Information :

Workplace Conditions and Physical Expectations

• Prolonged periods of sitting at a desk and working on a computer.

• Must be able to lift 15 pounds at times.

• Must access and navigate each department at the organizations facilities.

• Preference may be given to candidates willing to travel internationally for the company on a limited basis.

Work-life integration: We support work-life balance and create greater synergy among work home family and personal well-being.

Remote Work :

Yes

Employment Type :

Full-time