--- title: 'Director, Product Management – Ecosystem & Integrations at Cyberhaven' canonical: 'https://feeny.ai/job/director-product-management-ecosystem-integrations-cyberhaven-san-francisco-v8a1gpy7cts3' type: 'job' last_seen: '2026-09-10' --- # Director, Product Management – Ecosystem & Integrations at Cyberhaven - **Company:** Cyberhaven - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/cyberhaven/74fd5970-79f8-47d5-ba5e-5734a0e81911 ## Job description 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, and that foundation has made us a market leader in DLP and DSPM. It's also the launch pad for the next generation of products we're bringing to market. We are looking for a driven and dynamic product management leader to push the envelope of Cyberhaven's market presence by growing our integration ecosystem. As Director of Product Management you will own that ecosystem end to end, both the strategy for what we build with partners, and the execution that gets it built, launched, and adopted. This is a high-impact role, and if you're passionate about improving customer security and engaging with a vibrant community, we're looking for you. Your charter will be building the integrations that accelerate our revenue growth, increase customer value delivery, and provide long-term strategic impact to the business. ## What you'll do - Own the ecosystem thesis. Decide where our ecosystem investment goes, which categories matter, which partners within them, and in what sequence and keep that thesis current as the market moves. - Set the integration roadmap. Own the roadmap for every partner-facing surface connectors, APIs, data sharing, marketplace listings and prioritize it against the same bar as the rest of the product portfolio. - Make the build, partner, or pass call. Bring a clear recommendation on where a lightweight integration is enough, where a deeper joint product is warranted, and where a category is better served by our own roadmap. - Lead partner technical discovery. Run architecture and product conversations directly with partner product and engineering teams: what is feasible, who owns which half, and what the joint customer actually experiences on day one. - Program-manage each integration end to end. From planning and joint scoping, through co-development with the partner's engineering team, to certification, documentation, enablement, and launch. You will run the schedule across two companies, hold both sides to it, unblock what stalls, and be accountable for the integration reaching customers, not just being announced. - Land the launch. Equip sales, customer experience, and marketing before an integration ships, and keep the portfolio view current afterward, reference architectures, integration documentation, demo paths, and enablement that people actually use. - Deliver integrations that change outcomes. Define success before you build shorter time to value, broader coverage, accounts we cannot win alone and hold the work to it after launch. ## Who you are - 8+ years in product management, including at least 3 in cybersecurity, data security, or enterprise infrastructure - You have owned an integration, platform, or ecosystem surface at an enterprise cloud company, connectors, public APIs, a partner platform, or marketplace presence - You have personally shaped a partner strategy: chosen the partners, argued the case internally, and shipped the integrations that followed - Technical enough to earn credibility with partner engineering teams, and you can hold a design conversation about APIs, data models, identity, and telemetry without a solutions architect in the room - Deep knowledge of the cybersecurity ecosystem and the emerging AI landscape - Comfortable operating as an individual contributor with executive exposure - Bachelor's degree or equivalent experience; MBA welcome but not required Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ## About Cyberhaven ## Company Overview - **One-liner**: Cyberhaven provides an AI-native data security platform that unifies Data Loss Prevention (DLP), Data Security Posture Management (DSPM), Insider Risk Management (IRM), and AI Security to protect sensitive data across endpoints, cloud, SaaS, and AI tools. - **Entity Type**: Private (Venture Capital-backed) - **Headquarters**: Mountain View, California, USA - **Founded**: 2016 - **Founders**: Dr. Volodymyr Kuznetsov (CEO), Nishant Doshi (CTO) ## Core Business - **Primary industry**: Cybersecurity (Data Security, AI Security) - **Target customers**: B2B, Enterprise, Mid-Market - **Mission or purpose statement**: To secure data and secure AI, enabling organizations to protect their most sensitive information wherever it lives and goes, without blocking innovation. ## Products & Services - **Cyberhaven AI & Data Security Platform**: A unified, AI-native platform that combines Data Loss Prevention (DLP), Data Security Posture Management (DSPM), Insider Risk Management (IRM), and AI Security. The platform uses a unique "data lineage" technology to trace the full lifecycle of sensitive data—where it originates, how it moves, and who uses it—across endpoints, cloud, on-premises, SaaS, and AI tools. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company). - **Key Metric**: Total Funding raised (amount not specified in search results, but backed by notable investors). - **Notable Investors/Partners**: The company is backed by prominent venture capital firms, though specific names were not detailed in the provided search results. Leadership includes a VP of Engineering from Meta and a former CIO/author Mark Settle on the team. - **Growth Signals**: The company has a significant global presence with offices in Mountain View (HQ), Austin, Denver, Bangalore, Romania, and Switzerland. It employs 237 total employees, with 125 in Product + Tech roles, indicating a strong engineering focus. The company is actively hiring across multiple roles (Engineering, Sales, Support), signaling growth. ## Competitive Advantages - **Data Lineage Technology**: Cyberhaven’s core differentiator is its "data lineage" technology, which records every event for every piece of data (moves, copies, edits, shares) to understand its full context and risk, rather than just monitoring at the perimeter. - **Unified Platform**: It combines DSPM, DLP, IRM, and AI Security into a single platform, providing comprehensive visibility and control that competitors often offer as separate, siloed products. - **AI-Native Approach**: The platform is built from the ground up to handle the complexities of AI tool usage (shadow AI, data leaks to LLMs), a rapidly growing and critical market need. ## Strategic Focus - **AI Security Leadership**: Cyberhaven is heavily focused on enabling secure AI adoption. A key priority is helping enterprises understand and control "shadow AI" usage, assess AI risk posture, and prevent data leaks to AI tools without blocking productivity. - **Unified Data Security**: The company is moving away from siloed security tools, aiming to be the single, unified platform for all data security needs, from discovery and classification to real-time protection and insider threat detection. - **Global Expansion**: With offices in the US, Europe, and India, the company is scaling its global workforce to support a growing international customer base. ## Why Work Here - **Culture & Values**: Cyberhaven describes its employees as "Tracers," emphasizing a culture of curiosity, creativity, and drive. The company values solving ambitious challenges at the intersection of AI, security, and scale. - **Work Policy**: Cyberhaven offers a hybrid work model. Employees within 45 miles of the Bay Area (Mountain View) or Austin offices are expected to work on-site 2 days a week. Remote roles are also available for other locations. - **Global Team**: With hubs in Mountain View (HQ), Austin, Denver, Bangalore, Romania, and Switzerland, the company offers a diverse, global work environment. - **Engineering Focus**: With over half of its employees in Product + Tech roles, the company is heavily engineering-driven, offering challenging work on a complex, high-scale data platform. ## Sources 1. [cyberhaven.com](https://www.cyberhaven.com/) 2. [cyberhaven.com](https://www.cyberhaven.com/about) 3. [cyberhaven.com](https://www.cyberhaven.com/careers) 4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/cyberhaven) 5. 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