Senior Engineer – AI Governance

🕒 June 2

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StackOne

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

API • Artificial Intelligence • SaaS

StackOne is a tech company specializing in advanced integration solutions that facilitate seamless connections between various SaaS products. Their platform offers a Universal Integration Layer featuring Unified APIs and AI Agent Actions, enabling users to create hundreds of integrations quickly and efficiently. They focus on providing real-time data access with a commitment to security and compliance, making it easier for businesses to manage their operations and improve their products.

📋 Description

• Own how enterprises govern the tools their agents can reach: the enrollment, provisioning, policy, posture, and identity-bound access layer• Provisioning lifecycle for tool access — enroll, grant, rotate, revoke — across our managed auth and connector-profile layer• Policy and enforcement – shape the authoring, versioning, and runtime enforcement of access policies• Posture and risk – continuous assessment of connected tools and the SaaS behind them• Instrumentation and telemetry – deepen structured, queryable visibility into the tool calls flowing through the gateway• Identity integration – extend our OAuth 2.1, SSO, and SCIM story• Detection and response – define what bad looks like, surface it, and give operators the controls to contain it.

🎯 Requirements

• Strong software engineering fundamentals• Built or operated at least one of: an API gateway / management platform (Kong, Apigee, Zuplo, AWS API Gateway, and similar), MDM/UEM (Jamf, Kandji, Intune, Workspace ONE, Google Workspace MDM), EDR/XDR (CrowdStrike, SentinelOne, and similar), or a comparable policy-driven provisioning, posture, or access-control platform. Crossover across more than one of these is a real plus.• Built a policy or rules engine• Identity systems — OAuth/OIDC, SAML, SSO, SCIM — with a real grasp of scopes, grants, token lifecycle, and least privilege in practice.• Telemetry and instrumentation of a system on the request path, and the trade-offs of monitoring without adding meaningful latency.• LLM an AI experience - you've used if not built MCP servers before, you understand the governance and guardrails problems linked to AI usage and have created AI Agents before • Nice to have: Security background: vulnerability management, threat detection, or compliance posture (SOC 2 / ISO 27001 environments).• Experience shipping a product that other developers configure and rely on (platform / API empathy).• Built or contributed in public (OSS, specs, write-ups).

🏖️ Benefits

• Not specified