Partner Technical Solutions Lead

About the role

The Technical Solutions Lead will bridge the gap between Iron Mountain's InSight Digital Experience Platform (DXP) SaaS, Hyperscaler AI/Data ecosystems, ISVs, and SIs. The role involves transitioning from a technical generalist to an AI Orchestrator, designing and maintaining technical blueprints that allow field teams to solve complex business challenges with Agentic AI.

Responsibilities

• Design, build, and maintain repeatable "SaaS-to-Cloud" joint technical blueprints, reference architectures, and SDK productions that seamlessly integrate InSight DXP with Hyperscaler AI capabilities (such as Google Cloud Platform Vertex AI and Amazon Web Services Bedrock).
• Collaborate with Vertical Product Leads, Partner Development Managers, Systems Integrators, and Channel Partners to align the software roadmap with native hyperscaler services, train teams on new co-sell plays, and enable powerful multi-partner strategic outcomes.
• Ensure compliance with organizational engineering and cloud standards by owning Cloud Admin access, coordinating system migration updates and resource tagging, and establishing standardized Proof of Value (PoV) success criteria and sandbox environments.

Requirements

• 8+ years of extensive experience in Cloud Architecture, Software as a Service (SaaS) Engineering, or Technical PreSales.
• Strong knowledge of Application Programming Interface (API) integrations, Vector Databases, Large Language Model (LLM) grounding logic, and hyperscaler native service capabilities.
• Proven ability in technical validation, field enablement, cross-functional stakeholder management, and translating complex technical ecosystems into repeatable, scalable business blueprints.
• Active professional certifications in at least two major cloud platforms (Google Cloud Platform, Amazon Web Services, or Microsoft Azure).

Qualifications

• BS/BA degree in Computer Science, Information Technology, or related field.
• Experience with Agile methodologies and DevOps practices.
• Excellent communication and interpersonal skills.

Skills

• Technical leadership and project management skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Knowledge of industry trends and best practices in cloud computing and AI.

Benefits

• Competitive compensation and benefits aligned with experience.
• Comprehensive health, wellness, and retirement plans.
• Generous paid time off and annual holidays.
• Flexible work options and alternative work arrangements.
• Abundant opportunities for continuous learning, cloud certifications, and professional growth.

Pay

Reasonably expected salary range: $163,400.00 - $217,900.00 + commissions.

Schedule

Full-time position.