okta

Solutions Architect, Partner Solutions

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At a Glance

Location
Bellevue, Washington; Chicago, Illinois; New York, New York; San Francisco, California; Washington, DC
Experience
5+ years
Posted
2026-02-10T18:34:56-05:00

Key Requirements

Required Skills

AIAWSMachine LearningSalesforce

Domain Knowledge

  • Engineering
  • Insurance
  • Legal

Benefits & Perks

Health Insurance

health, dental and vision insurance, 401(k), flexible spending account, and

Requirements

5+ years of experience in partner-facing technical roles such as Solutions Architect, Partner Engineer, or Technical Alliance Manager

Track record of successfully partnering with technology vendors, GSIs, or cloud providers to solve complex technical challenges

Strong foundation in identity and security: OAuth 2.0, OIDC, token exchange, API security

Hands-on experience with AI platforms and agent frameworks: Claude, ChatGPT, Copilot, Salesforce Agentforce, AWS Bedrock, LangChain, or similar

Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, from engineering teams to executives

Experience designing cloud architectures and integrating with enterprise systems

Responsibilities

Strategic Technical Partnership:

Serve as a technical thought partner to Okta's GTM partnerships team. Embed with partner technical teams to enable their AI security practices, support troubleshooting, and serve as an escalation point for complex technical issues.

Integration Architecture:

Design integration patterns between Okta's AI security platform and partners including Anthropic, Salesforce, ServiceNow, AWS, Azure, and Google. Build reference implementations and sample code that partners use to build and sell.

Partner Enablement:

Lead technical enablement for partner teams through workshops, certification programs, and office hours. Represent Okta at partner events, developer conferences, and joint customer engagements.

About the Company

Okta for AI Agents is a new business unit focused on securing agentic identity. As enterprises move AI agents from pilots to production, they face fundamental questions: How do agents authenticate? How do you control what they can access? How do you govern agent-to-agent communication? We're building the products and go-to-market motion to answer these questions at scale.

This team reports to the SVP & GM, Okta for AI Agents, and operates with startup speed inside Okta. We're defining a new category.