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Chief of Staff, Engineering

Job not on LinkedIn

🔥 8 minutes ago

🐊 Florida, New York, +1 more states – Remote

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💵 $200k - $220k / year

⏰ Full Time

🔴 Lead

👩🏽‍✈️ Chief of Staff

👻 Ghost score 10%

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Logo of Cyberhaven

Cyberhaven

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 $33M Series B on 2021-12

Cybersecurity • SaaS • Enterprise

Cyberhaven is a company specializing in data security and insider risk management solutions. They offer a comprehensive data detection and response platform designed to detect and stop insider threats and data exfiltration. Cyberhaven's unique approach includes data lineage technology, which traces data from its origin to better understand and classify it, ensuring it remains protected across different platforms and situations. This technology enables businesses to stop the unauthorized flow of important data through various channels such as cloud, web, email, and removable storage. With a focus on cloud data security, insider risk management, and data loss prevention, Cyberhaven's solutions empower companies to safeguard their critical information and accelerate internal investigations.

📋 Description

• Act as a trusted advisor and thought partner to engineering leadership • Translate strategic priorities into execution plans, success criteria, and operating mechanisms • Own engineering leadership operating cadence, including staff meetings, monthly and quarterly business reviews, org planning, and leadership offsites • Set agendas, prepare materials, and drive follow-through on decisions and action items • Represent engineering leadership priorities across the organization • Align engineering, product, and go-to-market teams on key initiatives • Prepare executive-facing communications, board and all-hands content, and cross-functional updates • Support headcount planning, org design, and prioritization tradeoffs • Plan, execute, and coordinate complex multi-team programs and strategic projects • Track scope changes, readiness risks, and cross-team dependencies • Build review cadences, status updates, and action follow-up systems • Improve Jira data hygiene and governance • Define and standardize metrics for quality, release health, velocity, and team health • Produce data-backed reporting and decision support for engineering leadership • Own metrics and narratives for monthly and quarterly business reviews • Build AI-assisted dashboards and reporting workflows • Connect Jira, Notion, GitHub, and Slack through automations • Automate status collection, follow-up tracking, review preparation, and stakeholder reporting • Improve business review inputs and leadership updates while reducing manual status chasing

🎯 Requirements

• 7+ years of experience in a role combining program management, project management, and executive or leadership support • Prior experience as a Chief of Staff or in Engineering Leadership is a plus • Strong executive presence and judgment • Data-driven, metrics-driven decision making • Ability to drive accountability, coordination, and follow-through without direct authority • Strong written and verbal communication skills • Experience owning monthly and quarterly business reviews, executive-facing updates, and cross-functional status reporting • Comfort using automation and AI • Good judgment in prioritization, escalation, and leadership support • Experience owning QBRs, executive reporting, all-hands content, or org planning processes • Familiarity with DORA-style metrics, SLO/SLA thinking, release hygiene, and delivery scorecards • Experience building AI-assisted dashboards, automations, or reporting systems • Experience in security, SaaS, endpoint, platform, or infrastructure-heavy environments • Experience supporting globally distributed engineering organizations • Prior technical or program management background transitioning into a Chief of Staff or executive operations role • Ability to work in the United States; legally authorized to work in the United States without sponsorship now or in the future

🏖️ Benefits

• Equity • Bonus plan • Market-competitive compensation • Geo-based compensation adjustments • AI-assisted interview note-taking opt-out • Equal opportunity employer

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