Cyberhaven is building Flow, a unified data security platform spanning Human Data Security, Agentic Data Security, and Data Security Posture Management. Our data lineage technology traces the full lifecycle of enterprise data across endpoints, browsers, SaaS, cloud, and now AI agents. That foundation has made us a leader in DLP and DSPM, and it is the launch pad for the next generation of products we are bringing to market.
We are looking for a Director of Product Management, Strategy & Monetization to own how that platform goes to market. You will own pricing, packaging, positioning, field enablement, and partnerships for the complete product platform, and you will define the go-to-market strategy that wins: the sales plays we run, how we position against every competitor, how analysts understand us, and how the market understands what Cyberhaven is. This is the outbound half of product management, the commercial counterpart to the module product managers who own what we build.
You will report to the Chief Product Officer and work across the company every day: with Sales and Sales Engineering on plays and deals, with Marketing on messaging and analyst relations, with Customer Experience on the installed base, with Finance and Deal Desk on price realization, and with product and engineering leaders on what the roadmap needs to make the strategy true. This is a hands-on, high-visibility role. You will build the models, write the plays, present to the executive team and the board, and be accountable for whether the platform is priced, packaged, and positioned to win.
What you'll doOwn platform pricing and packaging. Define the SKU architecture for Flow and its modules: what is in the platform, what is in each module, the tiers, bundles, and add-ons, and the pricing model behind each, from per-endpoint licensing to consumption-based metering for data and AI workloads. Set list prices, discount structures, and approval thresholds, and keep the price book coherent as the product grows.
Run the monetization lifecycle. Lead new-customer and installed-base transitions when packaging changes, including migration rules, promotions, and true-up policy. Run quarterly pricing reviews, and partner with Finance and Deal Desk on price realization, discounting, and the deal guidance the field works from.
Define the platform go-to-market strategy. Decide which segments, buyers, and use cases we lead with, where the platform is sold as one product and where a module leads, and how land, cross-sell, and expansion fit together. Own the written strategy and the metrics that show whether it is working.
Build the sales plays. Design the plays the field runs, from the first-call narrative and discovery questions to demo paths, proof-of-value criteria, objection handling, and the commercial structure of the offer. Pressure-test them in live deals and retire the ones that do not convert.
Own competitive positioning. Maintain the competitive point of view across incumbent DLP suites, SSE and endpoint platforms, DSPM specialists, and AI security entrants: battlecards, win/loss analysis, and the positioning that lets a rep win head-to-head. Feed what you learn back into the roadmap.
Lead analyst activity. Own Cyberhaven's relationship with Gartner, Forrester, IDC, KuppingerCole, and the independent analysts who shape data security buying: briefings, inquiries, evaluations, and the category narrative we want them to carry. Partner with Marketing on the program and own the product substance.
Set market and product positioning. Define what Cyberhaven is, what category we are creating, and how each module fits that story. Own the product positioning hierarchy, platform-level messaging, and the proof points behind it, and keep them consistent across sales decks, the website, analysts, and partners.
Enable the field. Own product enablement for Sales, Sales Engineering, and Customer Experience: launch enablement for every pricing, packaging, or positioning change, certification on the plays, and the reference content the field uses day to day. Measure adoption, not attendance.
Drive strategic partnerships. Set the partnership strategy for the platform: which alliance, cloud, and channel partners matter to how we go to market, what we sell with each, and how partner-sourced and partner-influenced deals fit the plays. Work with the ecosystem and integrations product manager on what gets built, and own the commercial and positioning side of each partnership.
Measure and report. Define the metrics for the function, including price realization, discount depth, new-SKU mix, attach and cross-sell rates, win rate by competitor, and play adoption, and report against them in business reviews and board materials.
10+ years in product management, product strategy, or product marketing, including at least 3 in cybersecurity, with time in a role that owned pricing and packaging decisions rather than advised on them.
You have priced and packaged a multi-product platform: designed the SKU structure, set the list prices and discount rules, and run a packaging transition across an installed base without breaking renewals.
You have built sales plays that reps ran, and you can show the before and after on win rate or deal size.
You have owned competitive positioning in a crowded market and won deals head-to-head against larger incumbents.
You have briefed industry analysts and shaped how a category was defined, ideally in data security, DLP, DSPM, insider risk, or AI security.
You are fluent in the financial side of the job: pricing models, elasticity, ARR and ASP mechanics, consumption metering, and the spreadsheet model behind a pricing decision.
Technical enough to position the platform credibly with security architects and to tell the difference between a feature gap and a messaging gap.
You influence without authority. You can get Sales, Marketing, Finance, and Engineering to adopt a decision they did not make, and you leave executive meetings with a decision rather than a follow-up.
An exceptional writer and presenter: strategy documents, plays, battlecards, and board slides that people read and use.
You operate with urgency and judgment in a fast-moving environment, and you are comfortable making a pricing call before every input is in hand.
Bachelor's degree or equivalent experience; MBA welcome but not required.
Bonus points if you have:
Worked as an outbound product manager or product line manager at a security vendor, or in a pricing and monetization role at a platform company.
Priced AI or agentic products, including token- or consumption-based models, and worked out how they sit alongside per-seat licensing.
Led the go-to-market side of a platform launch that consolidated several products into one.
Run, or been a primary contributor to, an analyst evaluation such as a Magic Quadrant, Wave, or MarketScape in a data security category.
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.
Skills Required
- 8+ years of product management experience
- At least 3 years of experience in cybersecurity, data security, or enterprise infrastructure
- Experience owning an integration, platform, or ecosystem surface at an enterprise cloud company
- Experience with connectors, public APIs, partner platforms, or marketplace presence
- Experience shaping partner strategy, selecting partners, building internal support, and shipping integrations
- Technical fluency in APIs, data models, identity, and telemetry
- Deep knowledge of the cybersecurity ecosystem and emerging AI landscape
- Comfort operating as an individual contributor with executive exposure
- Bachelor’s degree or equivalent experience
- MBA
Cyberhaven Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cyberhaven and has not been reviewed or approved by Cyberhaven.
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Leave & Time Off Breadth — Time off is described as flexible or “unlimited,” with paid holidays and sick time, alongside remote‑friendly scheduling.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans via major carriers, with mentions of mental‑health resources, wellness days, and even pet insurance in some listings.
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Wellbeing & Lifestyle Benefits — Perks include monthly phone/internet stipends and home‑office support, plus professional development opportunities such as mentorship, conferences, and employee awards.
Cyberhaven Insights
What We Do
Cyberhaven was founded by computer scientists and security experts from MIT and EPFL to rethink data security. Instead of stopping threats at the perimeter, we trace the full lineage of sensitive data, where it originates, how it moves, and who uses it. This breakthrough became the foundation of our data lineage platform, now powering Cyberhaven’s leadership in data detection and response and protecting enterprises from insider threats and data loss. Our Data Detection and Response solution transforms how enterprises protect their data with a unique technology called data lineage. Cyberhaven records every event for every piece of data – every move, copy, edit, and share to fully understand how data moves throughout your company. We developed an architecture that achieves complete visibility of your data, including as it transits unmanaged cloud apps and unmanaged devices. As data moves throughout your company, from person to person and application to application, it fragments and gets combined with other data. We calculate the lineage for every piece of data starting with its origin through every step it takes. Our product allows you to define what is risky for your organization, enforce actions to protect data, and educate your workforce in real time.
Why Work With Us
Cyberhaven is a Series D unicorn in AI-driven data security, protecting 300+ customers like Motorola, Reddit, and Snowflake. We solve next-gen DLP by tracing full data lineage and enabling real-time insights. As a value-driven company with remote and hybrid work, you’ll grow alongside bold thinkers, making real impact.
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