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# Senior Product Manager, AI and Endpoint

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/teramind.md)Share3 Sep 2026Published39Listing views4Application actions3 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryTeramind is seeking a senior individual-contributor Product Manager to own the endpoint agent roadmap and AI Usage Control capabilities across Windows, macOS, and Linux. The role translates enterprise security, customer, and business needs into technically credible priorities for a large systems-focused engineering organization. Core outcomes include reliable agent deployment, low endpoint footprint, tamper resistance, AI activity detection, telemetry quality, and measurable adoption and stability KPIs. The ideal candidate brings deep product-management experience with endpoint security, systems software, device agents, or comparable OS-level platforms, alongside strong written communication and technical judgment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a highly technical, strategically pivotal PM role spanning low-level endpoint architecture, AI governance, security trade-offs, and cross-platform product delivery. The PM is the single accountable product leader for a major engineering area and must influence senior stakeholders without direct people management.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$175,000US market range$150k–$210k0$231k

AI insightNo salary was disclosed, so these are estimated US-market annual base-salary figures for a Senior Product Manager leading endpoint security, systems-platform, and AI governance products. Compensation can vary materially by employer size, location, equity, bonus structure, and the candidate's endpoint-security depth.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Product management](https://jobicy.com/jobs?search_keywords=Product%20management.md)[Endpoint security](https://jobicy.com/jobs?search_keywords=Endpoint%20security.md)[AI governance](https://jobicy.com/jobs?search_keywords=AI%20governance.md)[Data loss prevention](https://jobicy.com/jobs?search_keywords=Data%20loss%20prevention.md)[Insider risk](https://jobicy.com/jobs?search_keywords=Insider%20risk.md)[Windows](https://jobicy.com/jobs?search_keywords=Windows.md)[macOS](https://jobicy.com/jobs?search_keywords=macOS.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Telemetry platforms](https://jobicy.com/jobs?search_keywords=Telemetry%20platforms.md)[Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md)

Sample interview questionsHow would you prioritize competing requests for new endpoint telemetry, agent performance improvements, and OS compatibility work?I would first define the measurable customer and business outcomes for each request, such as detection coverage, rollout success, crash rate, or revenue risk. I would then assess customer impact, security urgency, engineering effort, platform dependencies, and the cost of delay. The resulting prioritization framework would be visible to engineering and stakeholders, with explicit capacity reserved for critical OS changes and reliability work.

How would you approach detecting AI activity that is invisible to browser and network-based controls?

I would map AI interaction modes by operating-system surface: native clients, IDE extensions, terminal agents, local model runtimes, clipboard activity, file access, and process execution. For each surface, I would define the minimum useful audit signals, privacy boundaries, collection reliability, and likely evasion paths. I would validate the design with representative enterprise workflows before scaling it into a cross-platform roadmap.

Describe how you would set success metrics for a new endpoint-agent release.

I would use a balanced KPI set covering deployment success rate, rollout velocity, upgrade completion, CPU and memory footprint, crash-free sessions, detection coverage, and support-ticket volume. Each metric would have a baseline, target, owner, and instrumentation plan before release. I would monitor leading indicators during phased rollout and use predefined rollback thresholds for reliability or performance regressions.

How do you handle a disagreement with engineering about the feasibility or value of a requested feature?

I would make the disagreement concrete by documenting the user problem, expected outcome, constraints, technical alternatives, and evidence behind each option. I would ask engineering to explain implementation risks and operational consequences, then jointly evaluate whether a reduced-scope solution can achieve the core outcome. If trade-offs remain, I would make a clear decision recommendation and record the rationale for stakeholders.

What security and privacy considerations would you apply when designing AI Usage Control features?

I would apply data minimization, role-based access, retention controls, encryption, auditable administrative actions, and clear policy configuration from the start. I would distinguish between signals needed for security investigation and unnecessary collection of personal content. The product should give enterprise customers defensible controls while maintaining transparency, reliability, and usability for end users and IT administrators.

### About Teramind

Teramind is a global leader in workforce intelligence, insider risk management, and data loss prevention. Used by thousands of companies across 60+ countries, our platform gives organizations the visibility to protect their people, their data, and their operations. We sit at the intersection of three converging markets – Insider Risk, DLP, and Workforce Analytics – and we are one of the few players that spans all three on a unified behavioral data layer.

The Teramind Endpoint Agent is one of the key differentiators of our platform. It runs on hundreds of thousands of endpoints across Windows, macOS, and Linux, capturing the behavioral signal that powers our detection, DLP enforcement, analytics, and AI. The depth and quality of what the Agent sees is a primary reason customers choose Teramind over the alternatives – and the product leader who owns it plays a pivotal role in the company’s success.

### About the Role

We are hiring a Senior Product Manager to own the Teramind Endpoint Agent, and the AI Usage Control capabilities built on top of it, end to end. You will be the single accountable product leader for the roadmap, priorities, and outcomes of the Agent organization – approximately half of Teramind engineering, working across operating systems, low-level platform components, and the server-side telemetry pipeline. This is a pivotal role. The Agent is one of the strongest competitive moats Teramind has, and the next chapter of the product strategy depends on what we build into it. You are coming in to bring product rigor, customer insight, prioritization discipline, and technical judgment to a team that is capable of shipping world-class endpoint technology. AI Usage Control is one of the most important things you will build here. Companies have spent twenty years governing what employees do with sensitive data, and they now have a second workforce: AI agents reading files, calling tools, and executing commands on the same machines, with none of the accountability. Nobody has worked out what supervising them looks like, and much of it never touches the network, so the endpoint is the only place you can see it. You will own that end to end. You will sit alongside other product managers, reporting to the VP of Product. Together, you own Teramind’s product surface area.

### What You Will Own

* The Agent roadmap across all platforms. Windows, macOS, Linux, and the platforms after them. You decide what ships, in what order, and why, balancing customer demand, platform modernization, performance, and security hardening on one prioritized backlog.
* The endpoint layer of AI Usage Control. Detecting AI that never touches the network – native desktop clients, IDE-embedded assistants, terminal-based coding agents, AI-native Teramind | Senior Product Manager, AI and Endpoint browsers, and local models running offline – and capturing the prompts, pastes, uploads, and agent-executed commands that browser and network DLP cannot see.
* Translating business vision into engineering reality. You turn signals from executives, sales, customers, competitors and the engineering org into a coherent technical roadmap. You are the interpreter between “we need to detect AI exfiltration” and “here is how we instrument the endpoint to see it.”
* Building for the enterprise: bulletproof and undetectable. Enterprise customers expect the Agent to be invisible to end users, resilient against tampering, and reliable in conditions that break weaker products. You own the roadmap that keeps it that way.
* Performance, footprint, and reliability. Every CPU cycle, megabyte and battery percent we consume is felt by the end user and argued about by the customer’s IT team. You set and defend the performance bar.
* Define, measure, and meet product KPIs. Adoption, rollout velocity, deployment success rate, crash rates, detection coverage, time-to-patch on OS changes. You set the numbers and hold the team and the company to them.
* Industry and ecosystem relationships. Microsoft, Apple, the Linux ecosystem, MDM vendors, and the major AV and EDR vendors. You represent Teramind in technical conversations where the agent’s architecture is the subject.

### Who You Are

* 5+ years of product management experience, with at least 3 owning a technical platform, SDK, agent, or systems-level product. This is a senior IC seat: influence without headcount.
* Technical depth is non-negotiable. You do not need to write C++, but you should reason about Windows architecture, macOS system extensions, and the trade-offs between Endpoint Security and Network Extension frameworks. You can push back credibly in a design review.
* You understand how AI actually runs on a computer. A hosted model in a browser tab, a native desktop client, an IDE-embedded assistant, a CLI coding agent, and a local model under Ollama are five different detection problems, and several are invisible to anything watching the network. You know why, and you know what an audit trail for an autonomous agent has to capture.
* Endpoint or systems background. You have shipped endpoint security (EDR, EPP, XDR), monitoring or management agents, OS-level tools, or systems software. CrowdStrike, SentinelOne, Defender, Tanium and similar are directly relevant. Pure SaaS and application PMs without systems exposure will struggle here.
* You think in outcomes, not features. Success is “95% of customers roll out a new agent version within 30 days,” not “shipped version 27.0.”
* You are comfortable with security trade-offs. Visibility versus privacy, tamper protection versus usability, cloud processing versus on-device intelligence. You can hold the attacker’s perspective and the IT buyer’s perspective in the same conversation.
* You work with AI, not just about it. You use AI in your own practice, prototyping to pressure-test concepts before spending engineering cycles, and evaluating model behavior rather than trusting vendor claims.
*  You bring rigor, and you write. PRDs, decision memos, prioritization frameworks, release cadence, credible engineering-facing specs. In a distributed team, writing is how product management scales.

### Nice to Have

* Engineering background earlier in your career: systems, kernel, driver, or low-level platform work
* Windows Filter Drivers, Minifilters or WFP; macOS Endpoint Security or Network Extensions; Linux eBPF, kernel modules or userspace agents
* MDM ecosystems (Jamf, Intune, Workspace ONE, Kandji)
* Insider risk, DLP, or behavioral analytics
*  Local model runtimes and on-device inference (Ollama, LM Studio, llama.cpp)
* Agentic AI: tool calling, MCP, and autonomous coding or workflow agents
* AI governance, AI security, or shadow AI discovery products
* EDR and AV co-existence and exclusion lists at scale

### Why This Role

Endpoint agents are having a moment. The convergence of insider risk, DLP, AI, and hybrid work is making the endpoint the most strategically important surface in enterprise security and workforce intelligence. Teramind’s Agent is one of the deepest data-collection engines in the market – we see things the rest of the category does not – and it is one of the strongest competitive moats we have.

You are coming in to take a genuinely differentiated technical platform and make it the backbone of the next generation of workforce intelligence. The engineering talent is here. The customer demand is here. The strategic priority is here. Your role is pivotal to where Teramind goes next.

### Interested?

We’d love to hear what you have shipped, what you have owned, and why this role fits what you want to do next. Send us your resume and a short note.

### Compensation

### Additional Information

About Us

At Teramind, we’re pioneering a predictive, AI-driven approach to safeguarding organizations’ people, data, and operations. As a global leader in user behavior analytics, insider risk management, and workforce intelligence, we empower businesses to transform data into a strategic asset – delivering clear visibility, control, and proactive protection across digital environments.

We’re open to hiring in just about every country in the world! Feel free to apply even if you don’t live in the country listed in the job description.

Benefits

This is a remote job. Work from anywhere! We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

Additionally:

• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.

• Competitive compensation

• Career growth opportunities

• Flexible paid time off

• Laptop reimbursement

• Ongoing training and development opportunities

Our Recruitment Process

We don’t expect you to check every box on the list. If you can picture yourself contributing to this team, we want to hear your story!

Most roles move through three interviews, though some can move quicker with fewer rounds. Leadership and technical roles may move through a more thorough process with multiple interview stages. All roles require reference and background checks.

Equal Opportunity

Teramind is proud to provide equal employment opportunities to all employees and applicants, and we do not discriminate on the basis of any characteristic protected by applicable local law. We provide reasonable accommodations to individuals with disabilities. If you need an accommodation to complete this application, participate on an interview, or perform this role, contact [hr@teramind.co](mailto:hr@teramind.co).

Show more

[Apply now >](https://jobicy.com/jobs/152497-senior-product-manager-ai-and-endpoint.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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