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. This role involves transitioning from a technical generalist to an AI Orchestrator, engineering repeatable 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 the "Gold Standard" for 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

• Experience with InSight DXP and its integration with Hyperscaler AI/Data ecosystems.
• Understanding of large language models and their applications in AI orchestration.
• Knowledge of API integrations and vector databases.

Skills

• Technical validation and field enablement skills.
• Ability to manage cross-functional stakeholders.
• Experience with cloud platforms such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
• Knowledge of large language models and their grounding logic.

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

Flexible work options and alternative work arrangements to support a healthy work-life balance.