Director of Technical Program Management

Cyberhaven is building the AI-native data security platform for the agentic enterprise. Our data lineage technology traces the full lifecycle of enterprise data across endpoints, browsers, SaaS, and cloud, making us a market leader in DLP and DSPM. This role is the launch pad for the next generation of products we're bringing to market.

What you'll do

Program Leadership and Executive Support

• Own end-to-end planning, execution, and coordination across Cyberhaven's most complex, multi-team, cross-organizational programs, partnering directly with engineering and product leadership

• Set the strategy for improving predictability in the release model, including tracking and escalating scope changes, readiness risks, and cross-team dependencies

• Architect and run the engineering operating cadence, including monthly and quarterly business reviews, by consolidating team updates, preparing leadership readouts, and driving follow-through on action items at the executive level

• Partner with engineering leadership to translate company and organizational strategy into clear execution plans, success criteria, reporting standards, and operating mechanisms across the entire engineering org

• Define and standardize org-wide success metrics across quality, release health, and velocity, driving greater predictability company-wide while enabling team-specific metrics where needed

• Build and own the review cadences, status reporting, leadership readouts, and action follow-up systems used to surface execution risk and intervention needs across all teams and programs

• Establish data hygiene and governance standards in systems like Jira and related planning artifacts so that release, ownership, status, and progress signals are reliable at scale

• Lead the most ambiguous, highest-priority engineering initiatives that require additional structure, executive visibility, and follow-through, often stepping in where no clear owner exists

• Act as a thought partner and mentor to other program managers and engineering leaders, raising the bar on operating discipline, accountability, and reporting consistency across the org, without formal management authority

AI-Enabled Automation

• Set the direction for AI-assisted dashboards and reporting workflows that give leadership visibility into program health, release scope, delivery risk, and team performance

• Design and build automations that connect tools like Jira, Notion, GitHub, and Slack to surface planning, execution, release, and other delivery signals across the org

• Automate recurring program management processes such as status collection, follow-up tracking, review preparation, and stakeholder reporting at scale

• Use these workflows to transform release reporting, business review inputs, leadership updates, and recurring status reporting, materially reducing manual status chasing across engineering