Director, Technical Program Management

The role

This individual contributor role owns end-to-end planning and execution for complex, cross-organizational product initiatives. You will manage the engineering operating cadence, drive release predictability, and build AI-enabled automation for reporting and visibility.

What you will do

• Own end-to-end planning, execution, and coordination across complex, multi-team programs.
• Set strategy for improving release model predictability and tracking dependencies.
• Architect and run the engineering operating cadence including monthly and quarterly business reviews.
• Partner with engineering leadership to translate strategy into execution plans and reporting standards.
• Define and standardize org-wide success metrics for quality, release health, and velocity.
• Build and own review cadences, status reporting, and leadership readout systems.
• Establish data hygiene and governance standards in systems like Jira.
• Lead ambiguous, high-priority engineering initiatives.
• Act as a thought partner and mentor to other program managers and engineering leaders.
• Set direction for AI-assisted dashboards and reporting workflows.

Required qualifications

• 10+ years of experience in Technical Program Management, Release Management, Engineering Operations, or a similar technical cross-functional role.
• Track record of operating at Director-level scope as an individual contributor.
• Prior startup experience.
• Experience owning end-to-end planning and execution for complex engineering initiatives spanning multiple teams.
• Strong technical fluency and systems thinking in engineering process and release workflows.
• Ability to drive accountability and coordination across an engineering organization without direct authority.
• Experience defining success metrics and turning operational signals into executive-level reporting.
• Excellent written and verbal communication skills.
• Deep familiarity with Jira-based workflows, reporting, and process hygiene at scale.
• Strong judgment in prioritization and escalation.
• Comfort using automation and AI to improve reporting and workflows.
• Located in the Eastern Timezone.

Nice to have

• Experience owning QBRs, executive reporting, and engineering metrics programs at the org or company level.
• Familiarity with DORA-style metrics, SLO/SLA thinking, release hygiene, and delivery scorecards.
• Experience building AI-assisted dashboards, automations, or reporting systems.
• Experience working in security, SaaS, endpoint, platform, or infrastructure-heavy environments.
• Experience supporting globally distributed engineering organizations.
• Prior experience operating at Director or Principal level as an individual contributor.

About the company

Cyberhaven is building the AI-native data security platform for the agentic enterprise. Their data lineage technology traces the full lifecycle of enterprise data across endpoints, browsers, SaaS, and cloud.