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Platform Product Manager

Obsidian Security
CompanyObsidian Security
CategoryProduct
LocationPalo Alto
RemoteOn-site (inferred)
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted8 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 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. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. Obsidian Security is looking for a  Platform Product Manager to lead the strategy and execution of core platform capabilities that power multiple products. You’ll work closely with engineering and the PM team to design, scope, and deliver shared services, data foundations, and integration patterns that help product teams ship faster and unlock cross-product value. This role is technical and hands-on: you’ll drive the platform roadmap, define APIs and contracts, evaluate build vs. buy, and ensure platform components are reliable, scalable, and secure. You’ll also lead OEM and partner integrations that extend the platform. Examples of what you’ll work with Engineering to build and own: 1) Knowledge Graph Partner with Engineering to shape the identity model and core services (human + non-human identities, apps, auth artifacts, entitlements, relationships). Turn product needs into platform requirements that power access understanding, SaaS exposure insights, and risk assessment. Work closely with PMs to identify dependencies and manage overlapping delivery timelines Prioritize and validate capabilities like identity resolution/enrichment, relationship mapping, and change tracking for broad product adoption. 2) Workflow Automation (OEM + Integration) Partner with Engineering to evaluate and select an OEM workflow automation engine for remediation. Define requirements for one-click and policy-driven auto-remediation, and drive adoption/rollout. Collaborate with Engineering to ensure a secure, reusable integration and run a structured evaluation. 3) Sensitive Data Context via Integrations (DSPM/DLP) Define a platform approach for integrating with DSPM and/or DLP tools. Ingest and normalize signals such as: where sensitive data resides, who has access, and who actually accessed it. Partner with product stakeholders to ensure integrations deliver actionable context for risk scoring and remediation. 4) Aggregated Customer Intelligence Platform Partner with Engineering/Architecture to establish a secure approach for aggregating and analyzing customer signals to generate intelligence that improves our products. Define the product requirements and use cases, plus the governance expectations and success metrics. Work with Engineering to make the outputs usable by product teams through consistent schemas, APIs, reusable datasets, and clear onboarding/docu
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