Program Manager

Role Purpose

The Program Manager is responsible for ensuring that Techkraft’s engineering organization delivers commitments predictably, transparently, and with appropriate engineering discipline. This role sits at the intersection of engineering leadership, execution management, client/stakeholder coordination, and operational governance. The Program Manager reports directly to the Director of Engineering and works closely with the Staff Engineer to translate engineering priorities into well-structured, measurable, and consistently executed delivery. The role does not own technical architecture or engineering decisions. Technical direction remains with the Staff Engineer and relevant engineering leads. Instead, the Program Manager owns the system through which engineering work is planned, coordinated, tracked, escalated, communicated, and delivered.

Key Responsibilities

• Own end-to-end delivery governance for assigned engineering teams and projects.
  
• Translate strategic priorities into structured delivery plans, milestones, dependencies, and measurable outcomes.
  
• Ensure engineering commitments have clear scope, ownership, timelines, acceptance criteria, and dependencies.
  
• Maintain visibility into whether initiatives are on-track, at-risk, blocked, or off-track.
  
• Identify delivery risks early and drive appropriate escalation and resolution.
  
• Ensure teams close the loop between planning, execution, review, and retrospective.
  

2.     Engineering Planning & Execution

Work with the Staff Engineer and engineering leads to:

• Establish realistic engineering plans based on technical complexity and team capacity.
  
• Coordinate sprint and iteration planning.
  
• Maintain visibility into engineering capacity and competing priorities.
  
• Identify cross-team dependencies.
  
• Track milestones and critical-path items.
  
• Ensure blockers are surfaced quickly.
  
• Prevent unplanned work from silently disrupting committed delivery.
  
• Facilitate trade-off discussions when scope, capacity, quality, and deadlines conflict.
  

Establish and continuously improve metrics such as:

• Planned vs. completed work
  
• Milestone predictability
  
• Cycle time
  
• Lead time
  
• Work-in-progress
  
• Blocked work
  
• Delivery variance
  
• Defect/rework trends
  
• Release frequency
  
• Capacity allocation
  
• Dependency aging
  

Maintain visibility across:

• Technical dependencies
  
• External/client dependencies
  
• Infrastructure dependencies
  
• Security and compliance dependencies
  
• Staffing and capacity constraints
  
• Third-party/vendor dependencies
  
• Scope changes
  
• Critical delivery assumptions
  

Establish lightweight but consistent engineering delivery governance across teams.

Ensure that appropriate checkpoints exist for:

• Requirements readiness
  
• Technical design readiness
  
• Security considerations
  
• Infrastructure readiness
  
• Testing and QA
  
• Release readiness
  
• Operational handover
  
• Documentation
  
• Post-release review
  

Act as the primary source of delivery visibility for engineering initiatives. Provide leadership and relevant stakeholders with concise communication covering:

• Current status
  
• Progress against milestones
  
• Key accomplishments
  
• Upcoming milestones
  
• Risks
  
• Blockers
  
• Dependencies
  
• Decisions required
  
• Changes to scope or timeline
  

For client-facing engineering engagements:

• Maintain alignment between engineering commitments and client expectations.
  
• Participate in appropriate client delivery discussions.
  
• Coordinate delivery schedules and dependencies.
  
• Surface scope changes and risks.
  
• Ensure commitments communicated externally have engineering validation.
  
• Maintain clear boundaries between committed scope and additional requests.
  
• Support change-control processes where necessary.
  

Identify recurring delivery problems across teams and drive systemic improvements.

Examples include:

• Poor estimation
  
• Excessive work-in-progress
  
• Requirement ambiguity
  
• Slow technical decisions
  
• Cross-team dependency bottlenecks
  
• Release friction
  
• Environment instability
  
• Excessive rework
  
• Ineffective ceremonies
  
• Lack of ownership
  
• Poor stakeholder communication