Staff Product Manager, AI Governance & Supply Chain Integration Risk

Remote from: UK
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Product & Operations
Employment type: Full Time,
Job posted: 10 Jun 2026
Apply before: 10 Jul 2026
Experience level: Senior
Views / Applies: 83 / 12

Obsidian solves the challenges of SaaS security so you can secure business-critical data with ease and confidence.

Computer & Network Security
2017

AI Summary

Obsidian Security is a SaaS security platform backed by top investors, seeking a Staff Product Manager for AI Governance and Supply Chain Risk. The role involves defining product strategy for understanding and reducing third-party risk, AI enablement, and governance gaps. The PM will work closely with engineering, design, and go-to-market teams to deliver measurable outcomes. The position is based in the United Kingdom and requires 7+ years of product management experience. This is an opportunity to shape the future of SaaS security in the era of agentic AI.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires deep understanding of AI governance, supply chain risk, and SaaS security, along with strategic outcome-driven product management, making it highly complex and ambiguous.

Salary Analysis

AI Insight While the salary is not explicitly listed, for a Staff Product Manager role in AI Governance and Security, the US market median is approximately $200,000. This role likely offers competitive compensation including equity given the startup's strong backing.

Key Skills

Product Management AI Governance Supply Chain Risk SaaS Security Risk Management Cross-functional Leadership Strategy Data Analysis Customer Focus Agile

Cover Letter Sample

I am writing to express my strong interest in the Staff Product Manager role for AI Governance & Supply Chain Integration Risk at Obsidian Security. With over 7 years of experience in product management, particularly in security and risk domains, I have a proven track record of defining and delivering complex, outcome-driven products.

My expertise aligns perfectly with the challenges enterprises face in managing AI and third-party risk in SaaS environments. I have successfully led cross-functional teams to translate ambiguous customer problems into clear product strategies and measurable business outcomes.

I am particularly excited about Obsidian's mission to secure the modern SaaS ecosystem and its focus on agentic AI governance. I am confident that my skills in strategic product leadership, deep technical understanding, and customer-centric approach would drive significant value for your team and customers.

Thank you for considering my application. I look forward to the opportunity to discuss how I can contribute to Obsidian's growth and innovation.

Possible Interview Questions

How would you approach defining the product strategy for AI governance in a SaaS platform?

I would start by deeply understanding customer pain points through interviews and market research, focusing on key questions like 'Is AI enabled? What data does it access? Who can use it?' Then I would prioritize outcomes such as risk reduction and compliance, align with engineering on technical feasibility, and create a roadmap that balances quick wins with long-term platform capabilities.

Describe a time you had to manage a product with high ambiguity. How did you drive clarity?

In a previous role, I was tasked with defining a new third-party risk module. I conducted user research, created journey maps, and facilitated workshops to align stakeholders. I broke down the problem into smaller hypotheses, defined success metrics, and iterated based on feedback. This led to a clear product vision and roadmap.

How do you measure success for a product like AI governance?

Success should be measured by customer outcomes such as reduction in unknown third-party risks, adoption rate of governance features, time to detect AI enablement, and customer satisfaction. Business metrics include revenue impact and retention. I'd set targets for these and track them regularly.

How would you handle a situation where engineering and design have conflicting priorities on a feature?

I would facilitate a discussion focusing on user needs and business value. I'd use data and customer evidence to weigh trade-offs, and perhaps suggest a minimal viable version that satisfies both concerns. If needed, I'd escalate to leadership but aim to resolve through collaborative prioritization.

What experience do you have with AI or agentic technologies in a product context?

I have worked on products that incorporate AI for anomaly detection and automation. I collaborate with data science teams to define model requirements, explainability, and user workflows. I also stay updated on industry trends through conferences and research, ensuring our product anticipates market shifts.

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.

Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.

Now, we’re transforming how SaaS is secured—in the era of agentic AI.

Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies.

With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!

Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem.

We’re looking for a PM who thinks beyond product features and focuses on the key outcomes customers care about most: reducing unknown third-party risk, understanding where AI and agentic capabilities are enabled, prioritizing what matters, making risk explainable, and helping teams take action.

As SaaS vendors rapidly add AI and agentic capabilities into their applications, enterprises are struggling to answer basic but critical questions: Is AI enabled in our tenants? What does it do? What data can it access? Who can use it? Which agents, apps, or integrations can act on behalf of users? Is any of this governed consistently?

This role is not about managing a feature backlog. It is about identifying the most important customer and business problems, defining the outcomes we need to drive, and partnering with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value.

This role is based in the United Kingdom.

Responsibilities

Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.

Required qualifications

7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
Experience owning a product area from strategy through execution, launch, adoption, and iteration.
Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
Proven ability to lead cross-functional teams without formal authority.
Excellent written and verbal communication skills.
Based in the United Kingdom, with ability to collaborate across UK, European, and US time zones.

Apply now >