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Partner Technical Solutions Lead

Other Skills

  • Collaboration
  • Problem Solving
  • Training And Development
  • Communication

Roles & Responsibilities

  • 8+ years in Cloud Architecture, SaaS Engineering, or Technical PreSales
  • Expertise in API integrations, Vector Databases, and LLM grounding logic
  • Certifications in at least two major cloud platforms (GCP, AWS, or Azure)

Requirements:

  • Build and maintain joint technical blueprints for compliance
  • Collaborate with Vertical Product Leads to align SaaS roadmap with Hyperscaler AI capabilities
  • Own the 'Gold Standard' for Proof of Value (PoV) success criteria across all clouds
  • Provide Level-3 technical support and training for PreSales and Solution Architects

Job description

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Reports to: Senior Director, Partner GTM

Role Summary: The Technical Solutions Lead is the bridge between InSight DXP SaaS, the Hyperscaler AI/Data ecosystems including but not limited to other ISVs and SIs. Transitioning from a "Technical Generalist" to an "AI Orchestrator," this role engineers the repeatable technical blueprints that allow our field teams to solve complex business challenges with Agentic AI.

Key Responsibilities:

  • Reference Architectures: Build and maintain joint technical blueprints (e.g., InSight DXP + Vertex AI for MLR40 compliance).

  • Product Interlock: Collaborate with Vertical Product Leads to ensure the SaaS roadmap aligns with Hyperscaler AI capabilities (Gemini, Bedrock).

  • Technical Validation: Own the "Gold Standard" for Proof of Value (PoV) success criteria across all clouds.

  • Field Enablement: Provide Level-3 technical support and training for PreSales and Solution Architects.

Key Requirements:

  • 8+ years in Cloud Architecture, SaaS Engineering, or Technical PreSales.

  • Expertise in API integrations, Vector Databases, and LLM grounding logic.

  • Certifications in at least two major cloud platforms (GCP, AWS, or Azure).

Tasks

  • Creating / orchestrating "SaaS-to-Cloud" reference architectures (e.g., how InSight DXP integrates with GCP's Vertex AI or AWS Bedrock)

  • Creating / orchestrating reference architectures for partner ecosystem to enable power of 3+ plays - ie SI’s and CPs - ideally by use cases / vertical

  • Organising SDK production for partners & sandbox utilization 

  • Creating standardized Proof of Value (PoV) success criteria and "SaaS Sandboxes" for the field to use during technical discovery

  • Weekly syncs with Vertical Product Leads to ensure the software roadmap utilizes latest hyperscaler native services (e.g., Gemini 1.5 Pro)

  • Training Co-Sell PDMs how to use new sales plays to open doors at the Hyperscalers

  • Cloud Admin access ownership, Coordination and ownership for updates for migrations, tagging.

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

Please note that an employee's starting salary may vary based on a variety of factors. Where State, Municipal, Provincial, Territorial or other legal minimum wages exceed the federal minimum wage, employees are entitled to the higher rate.

Category: Sales

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