Solution Architect - Strategic Alliances

Cyera Cyera · Vertical AI · United States · Remote · Sales

This role focuses on building and enabling integrations between Cyera's data security platform and strategic technology partners, including AI platforms and agent frameworks. The Solution Architect will drive technical execution, define integration roadmaps, and collaborate with engineering, product, and sales teams to accelerate secure AI adoption for customers. The role requires a strong understanding of cloud, data, and AI platforms, as well as API-based integration experience.

What you'd actually do

  1. Translate product strategy into executable integration and platform roadmaps with clear milestones and accountability.
  2. Build and maintain strong technical relationships with strategic partners (cloud providers, SaaS platforms, data platforms, security vendors).
  3. Identify, evaluate, and prioritize high-impact integrations that strengthen or expand Cyera’s strategic alliances and unlock new revenue opportunities.
  4. Lead technical discovery and alignment sessions with partner engineering teams to define scope, architecture, and joint success metrics.
  5. Drive integrations from concept through GA launch, ensuring scalability, security, and enterprise readiness.

Skills

Required

  • 6+ years of experience in similar roles within cybersecurity or SaaS.
  • Experience building and launching API-based integrations in cloud-native environments.
  • Hands-on proficiency with modern APIs, SDKs, and integration workflows, including those used in AI platforms, automation tools, agent frameworks, and data-driven services.
  • Experience building prototypes, proofs of concept, or reference implementations that demonstrate secure and governed access to AI services, using scripting or general-purpose languages (e.g., Python, Go).
  • Strong understanding of cloud platforms (AWS, Azure, GCP), data platforms (Snowflake, Databricks), AI platforms (Anthropic, OpenAI), enterprise SaaS architectures, and data security concepts.
  • Basic understanding of private LLM deployments, agent frameworks, agent platforms, and AI-driven enterprise applications.
  • Demonstrated success working with external technology partners and driving joint technical initiatives.
  • Strong ability to lead and navigate technical and architectural discussions with clarity and confidence.
  • Experience collaborating with Product Marketing and Sales Enablement to produce technical customer-facing content.
  • Skilled at simplifying complex concepts to make them accessible to diverse audiences.
  • Exceptional communication skills with the ability to translate complex technical concepts into clear business value.
  • Able to confidently discuss technical topics with business stakeholders and business priorities with technical teams.
  • Ability to influence across engineering, go-to-market, and executive stakeholders without direct authority.
  • Hunger to rapidly learn cutting-edge technologies while context-switching.
  • Excellent multi-tasking and follow-up skills, with a solution mindset to proactively fix problems, overcome challenges, and create opportunities rather than dwelling on obstacles.

What the JD emphasized

  • AI platforms
  • agent frameworks
  • AI services
  • AI-driven enterprise applications
  • secure and governed access to AI services

Other signals

  • AI adoption securely
  • AI platforms
  • agent frameworks
  • AI services
  • AI-driven enterprise applications