StackOne
Technology
SeniorEngineer(AIGovernance)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineer (AI Governance) at StackOne. Skills: AI Governance, API Gateway, Identity Management, Policy Enforcement. Manage provisioning lifecycle. Grant tool access”
Industry & Context.
Anomaly detection; Root cause analysis
What They're Looking For.
Must Have
Software engineering fundamentals, Own a system end-to-end, Built API gateway/management platform, Built MDM/UEM platform, Built EDR/XDR platform, Built policy-driven provisioning platform, Built posture control platform, Built access-control platform, Built a policy or rules engine, Understand policy authoring, Understand policy evaluation, Understand policy enforcement, Understand policy versioning, Understand policy vs enforcement, Understand Identity systems, Understand OAuth/OIDC, Understand SAML, Understand SSO, Understand SCIM, Understand scopes, Understand grants, Understand token lifecycle, Understand least privilege, Understand telemetry instrumentation, Understand request path monitoring, Understand monitoring trade-offs, Understand AI governance problems, Understand AI guardrails problems, Created AI Agents before
Nice to Have
Crossover across multiple platforms, Security background, Vulnerability management experience, Threat detection experience, Compliance posture experience, Experience shipping developer product, Platform empathy, API empathy, Contributed in public
What You'll Do.
Manage provisioning lifecycle
Shape policy authoring
Shape policy versioning
Shape runtime enforcement
Generate LLM policies
Assess connected tools
Identify risky scopes
Identify stale grants
Identify anomalous patterns
Instrument tool calls
Bind access to identity
Define 'bad' behavior
How You'll Work.
Team & Collaboration
Engineering leadership; Founders; Security engineers; Platform engineers
Full Job Description
About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. Own how enterprises govern the tools their agents can reach: the enrollment, provisioning, policy, posture, and identity-bound access layer that does for agent tooling what MDM and EDR (Jamf, Iru, CrowdStrike) do for devices, and what API gateways do for API traffic, at gateway scale. WHY THIS ROLE EXISTS StackOne is the tools gateway for agents: the secure, token-efficient layer through which AI agents reach 200+ enterprise SaaS systems. As enterprises connect agents to real tools and real data, governance becomes the defining problem: who or what may invoke which tool, with which scopes, against which data, under which conditions, and how you catch it when something drifts, misbehaves, or turns into a vulnerability. THE MENTAL MODEL What MDM, EDR, and identity platforms did for devices & software access, and what API gateways did for API traffic, applied to the tools agents use: - Enroll & inventory devices → register and inventory the tools agents can reach (servers, APIs, connected accounts) - Provision apps and configs to devices → provision agent and user access to specific tools and scopes - Compliance baselines and config profiles → policy for tool, scope, and data access, with conditional rules and guardrails - Authenticate, authorize, and rate-limit every API call (API gateway) → authenticate, authorize, and govern every tool call an agent makes through the gateway - Continuous posture and v
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