СШАStaff Product Manager - AI Detection & Discovery
2 нед. назад
139.7k–186.3k USD / годСШАLead
Staff Product Manager responsible for AI Detection & Discovery, managing discovery and governance of AI models and applications.
Требования
- Bachelor’s degree in Computer Science , Engineering, Business, or a related field.
- 8+ years of Product Management experience.
- Proven success managing a product through its full lifecycle, including end-of-life planning.
- Experience shipping discovery, inventory, or detection products in security, data discovery, asset management, CSPM/SSPM/CASB, observability, or a comparable domain where coverage and signal quality are the product.
- Working fluency with cloud platforms and AI services, as well as on-premises and self-hosted inference stacks; able to contribute effectively in architecture reviews.
- Experience with integration and connector-heavy products, including maintaining them as upstream APIs change.
- Experience contributing to technical debt and automation-backlog planning.
- Recent experience using Agile/Scrum methodology .
- Hands-on professional use of AI tools (e.g., Claude, ChatGPT, Notion AI, or similar) to accelerate research synthesis, PRD writing, or roadmap analysis, with genuine enthusiasm for applying AI to product work.
Будет плюсом
- Familiarity with AI governance frameworks and regulation , including the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
- Background in enterprise security or IT tooling, or experience selling to CISO and Chief Data/AI Officer buyers.
- Experience with data-quality or ML-driven classification problems where precision and recall are negotiated with customers.
- Exposure to agentic systems, MCP, or AI supply-chain risk.
Условия
- For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
- Salary Range
- $139,725 — $186,300 USD
- As an employee at , you will be part of the OneTeam . That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit .com/careers.
Другое
- ’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, is once again redefining what responsible innovation looks like. , the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, is shaping the future where trusted data becomes a transformative force for business and society.
- You cannot govern what you cannot see. AI is entering the enterprise faster than any technology before it—often without a ticket: a team deploys a foundation model endpoint in an unmonitored cloud account, an engineer self-hosts an open-weight model, or a SaaS vendor quietly adds an AI feature to a widely used tool.
- is looking for a Staff Product Manager to own Detection—the discovery layer that finds AI models, LLM applications, agents, and AI-enabled features wherever they run, and turns that visibility into a governable inventory. Detection is the front door to AI governance: every downstream risk assessment, policy control, and compliance obligation depends on the completeness and accuracy of what you surface.
- Own product strategy for the Detection area across multiple related products, balancing delivery across the full product line.
- Set the Shadow AI detection strategy: discover unsanctioned models, applications, and agents; attribute owners; risk-rank assets; and route them into governance and remediation workflows.
- Define and sequence the coverage roadmap across detection surfaces, weighing build vs. partner decisions, connector investment, and the risk retired by each incremental surface.
- Establish the detection taxonomy and definition of a “discovered AI asset,” bringing models, hosted endpoints, fine-tunes, RAG pipelines, agents, and embedded vendor features into one coherent inventory.
- Own the quality bar with measurable targets for coverage, precision, recall, time-to-discovery, and false-positive rate ; make tradeoffs explicit.
- Identify adjacent opportunities, including continuous monitoring, AI bill of materials, third-party and supply-chain AI risk, and usage telemetry.
- Lead geographically distributed engineering, design, data science, and detection research teams through ambiguous, discovery-heavy problems.
- Align with Product Marketing, Sales, and Partners on positioning and go-to-market in a category where buyers compare coverage claims.
- Partner with Security, IT, and Legal stakeholders—internally and at design-partner customers—to test detection signals against real enterprise adoption.
- Work with Ecosystem and Partnerships on cloud marketplaces and integrations with adjacent tools (CSPM, SSPM, CASB, IdP, EDR, and SaaS management) where telemetry can be shared rather than rebuilt.
- Serve as the Detection subject matter expert while building knowledge of adjacent AI governance and privacy products.
- Bring deep understanding of AI deployment, including managed model services (Bedrock, Azure OpenAI, Vertex AI), commercial LLM APIs, self-hosted open-weight models and inference servers, fine-tuning and training pipelines, vector databases, RAG architectures, and agent frameworks.
- Understand detection mechanics well enough to make hard approach decisions across API and control-plane enumeration, log and network telemetry, OAuth and identity analysis, code and dependency scanning, endpoint and browser signals, and vendor questionnaires or attestations where technical discovery cannot reach.
- Translate requirements from the EU AI Act, NIST AI RMF, ISO/IEC 42001, and emerging state AI laws into concrete detection and inventory requirements.
- Serve as the primary escalation point for the product line, de-escalating issues and communicating clearly from individual engineers to executives.
- Represent Detection strategy with customers, analysts, and prospects, and bring those insights back into the roadmap.
- Informally mentor Product Managers and Associate Product Managers, sharing strategic and domain expertise .
- Raise the broader product organization’s bar for reasoning about AI systems, detection quality, and evidence-based prioritization.
- A subject matter expert who handles significant complexity and exercises independent judgment. You set direction when the problem space is still forming, are sought out by Product Managers for strategic guidance, and thrive while juggling multiple priorities under aggressive timelines. You are intellectually honest about detection quality: you would rather ship narrower coverage you can defend than a number that fails a customer audit.
- We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
- Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
- Check out the following to learn more about and its people:
- Careers on YouTube
- @LifeatOneTrust on Instagram
- You have the right to have your personal data updated or removed. You also have the right to have a copy of the information holds about you. Further details about these rights are available on the website in our Privacy Overview . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form .
- Recruitment fraud warning: is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a recruiter with an "@.com" email address. You may also receive legitimate emails from "@ ". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@ " email address. For more information or if you have been targeted please reach out to askrecruiting@.com.
- When you join you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
- provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.