C

Cyberhaven

AI-driven data lineage for insider risk

Director of Technical Program Management

Program ManagementConfirmed live in the last 24 hours
Full-time$200k - $220k /yr

About the Job

Requirements

  • 10+ years of experience in Technical Program Management, Release Management, Engineering Operations, or a similar technical cross-functional role, with a track record of operating at Director-level scope as an individual contributor.
  • Prior startup experience and the ability to thrive in high-growth, fast-moving environments where ambiguity is the norm and structure must be built rather than inherited.
  • Experience owning the operating cadence, cross-functional execution, executive reporting, prioritization, and accountability across a broad engineering organization.
  • Demonstrated experience owning end-to-end planning and execution for complex engineering initiatives spanning multiple teams and organizations.
  • Strong technical fluency and systems thinking, especially in engineering process, release workflows, operational reporting, and execution management.
  • Ability to drive accountability, coordination, and follow-through across an entire engineering organization without direct authority.
  • Experience defining success metrics, tracking execution health, and turning operational signals into clear, executive-level reporting and decision support.
  • Experience owning monthly and quarterly business reviews, executive-facing updates, and cross-functional status reporting.
  • Deep familiarity with Jira-based workflows, reporting, and process hygiene at scale.
  • Strong judgment in prioritization, escalation, and leadership support in ambiguous or fast-moving situations, with the credibility to influence senior stakeholders.
  • Comfort using automation and AI to improve reporting quality, operating efficiency, and recurring workflow execution.
  • Located in the Eastern Time Zone to support the global team.

Responsibilities

  • Own end-to-end planning, execution, and coordination across complex, multi-team, cross-organizational programs, partnering directly with engineering and product leadership.
  • Set the strategy for improving release predictability, 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 executive-level follow-through on action items.
  • Partner with engineering leadership to translate company and organizational strategy into execution plans, success criteria, reporting standards, and operating mechanisms across the engineering organization.
  • Define and standardize organization-wide success metrics across quality, release health, and velocity, while enabling team-specific metrics where needed.
  • Build and own review cadences, status reporting, leadership readouts, and action follow-up systems to surface execution risks and intervention needs across teams and programs.
  • Establish data hygiene and governance standards in Jira and related planning artifacts so release, ownership, status, and progress signals are reliable at scale.
  • Lead ambiguous, high-priority engineering initiatives requiring structure, executive visibility, and follow-through, including initiatives without a clear owner.
  • Act as a thought partner and mentor to program managers and engineering leaders, improving operating discipline, accountability, and reporting consistency without formal management authority.
  • Set the direction for AI-assisted dashboards and reporting workflows that provide leadership visibility into program health, release scope, delivery risk, and team performance.
  • Design and build automations connecting Jira, Notion, GitHub, and Slack to surface planning, execution, release, and delivery signals across the organization.
  • Automate recurring program management processes, including status collection, follow-up tracking, review preparation, and stakeholder reporting.
  • Use workflows to transform release reporting, business review inputs, leadership updates, and recurring status reporting, reducing manual status chasing across engineering.

Desired Qualifications

  • Experience owning QBRs, executive reporting, and engineering metrics programs at the organization 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, not as a people manager.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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