Description

• Run end-to-end 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 cross-team 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 strategy-execution gaps.
• Support estimation, capacity planning, and quarterly/PI-style planning for multi-team initiatives.
• Contribute to continuous improvement in delivery practices, operational excellence, and organizational cadence.

• 5-8 years of experience in technical program management, software delivery, or related roles.
• Demonstrated ability to manage programs across 1-2 engineering teams with predictable execution.
• Strong understanding of Agile frameworks (Scrum, Kanban), backlog management, and cross-team delivery coordination.
• Experience identifying, escalating, and resolving delivery risks, dependencies, and cross-functional 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.
• Bachelor's 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, data-driven engineering, cloud modernization, or distributed systems.
• Experience participating in discovery workshops, estimation, or SOW-related planning.
• PMP, CSM, PMI-ACP, 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 data-querying for operational insight
• Technical & Architectural Fluency
  
  • REST APIs, microservices fundamentals
  • Cloud platforms (AWS, Azure, GCP)
  • CI/CD patterns, Git-based workflows, DevOps basics
  • Understanding of Kubernetes-based environments (K3s, AKS, EKS, GKE)
• AI & Modern Delivery Context (Awareness)
  
  • Working knowledge of LLM-enabled applications and AI-assisted engineering practices
  • Awareness of RAG, vector search, and common model integration patterns
  • Understanding of guardrails, model safety, and evaluation workflows (conceptual level).

• Excellent written and verbal communication with ability to establish clarity across teams.
• Structured problem-solving 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 decision-making.
• Adaptability and resilience in ambiguous or fast-changing environments.

• Remote Collaboration: Works effectively in distributed teams using asynchronous communication.
• Continuous Learning: Actively explores new models, frameworks, and safety techniques.
• Cultural Fit: Embodies Veritas Automata's values of innovation, integrity, and ownership.
• Strategic Impact: Contributes reusable AI building blocks that accelerate future product delivery.

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