Pre-Sales Solution Architect

Reposted 16 Days Ago
6 Locations
Remote
108K-143K Annually
Senior level
Big Data • Cloud • Information Technology
The Role
Designs and implements enterprise cloud and AI solutions for unstructured data workloads. Responsibilities include building ingestion pipelines, API integrations, document extraction and HITL workflows, tuning machine learning models, benchmarking performance, and ensuring security, availability, disaster recovery, and data isolation. The role also supports customer developers, leads technical proofs of concept, mentors engineering teams, develops reusable blueprints, and provides feedback to product engineering.
Summary Generated by Built In

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.

Job Description: Pre-Sales Solution ArchitectRole Overview

Are you ready to shape the future of enterprise cloud and AI? As a Pre-Sales Solution Architect for Iron Mountain InSight® DXP, you will serve as the deal strategist for enterprise customer engagements. Operating in a high-energy team with the speed and innovation of a tech startup—backed by a global industry leader—you will bridge complex customer business challenges with cutting-edge AI architectures.

Your mission is to win technical validation and accelerate customer deal cycles. Partnering directly with sales teams, you won't just draw diagrams or present slides—you will lead technical discovery, design production-grade solution architectures, build targeted Proof of Concepts (PoCs), tune extraction models, construct automated pipelines, and prove non-functional requirements (NFRs) across complex cloud environments to secure the technical win.


What You’ll Do (Core Responsibilities)


1. Pre-Sales Technical Execution & Discovery (Primary Focus)

  • Lead Technical Validation: Partner with sales teams to drive the technical sales cycle, leading discovery calls, architecture reviews, and technical workshops with customer engineering teams and technical buyers.
  • Execute Targeted PoCs: Design, build, and present hands-on Proof of Concepts (PoCs) and pilot solutions to validate solution viability, extraction accuracy, and non-functional requirements (p95 latency, throughput, security) against strict customer benchmarks.
  • Demonstrate Technical Value: Deliver high-impact technical product demonstrations, solution walk-throughs, and technical pitches that eliminate customer deployment friction and establish platform superiority.

2. Architectural Design & Workload Prototyping

  • End-to-End Solution Architecture: Lead architectural design and pre-sales prototyping of custom enterprise use cases, ensuring platform scalability, security, high availability (HA), disaster recovery (DR), and multi-tenant isolation.
  • Data Pipeline & Workflow Orchestration: Architect and build automated ingestion data pipelines, custom API connections (REST/GraphQL), and Intelligent Document Processing (IDP) workflows operating flawlessly at scale.
  • Extraction Model & HITL Optimization: Configure and fine-tune machine learning models, Document AI extraction pipelines, and Human-in-the-Loop (HITL) validation workflows during evaluation phases to demonstrate speed and accuracy over competitors.

3. Production Readiness & Field Feedback Loop

  • Scope & Transition: Develop version-controlled code repositories, reusable integration patterns, and standardized solution topology blueprints to define Statements of Work (SOWs) and ensure smooth handoffs to post-sales execution.
  • Customer Alignment: Work side-by-side with customer developers and system integrator (SI) teams during evaluations, guiding cloud migration patterns and platform best practices.
  • Co-Defining Tomorrow's Roadmap: Act as the technical voice of the customer, relaying real-world edge cases, model performance data, and builder feedback directly to R&D and Core Engineering to drive next-generation platform features.

What You’ll Bring (Qualifications & Experience)

  • Pre-Sales & Technical Track Record: 5+ years of experience in Solutions Architecture, Pre-Sales Engineering, Data Engineering, or Technical Consulting supporting enterprise cloud platforms.
  • Pre-Sales Execution Ability: Proven track record of guiding technical discovery, executing high-converting PoCs, and securing technical selection in competitive sales cycles.
  • Hands-on Scripting Proficiency: Active experience writing clean, demo-grade code and scripts in Python, Bash, SQL, and REST/GraphQL API integrations for solution prototyping and automation.
  • Cloud & Data Stack Expertise: Strong technical background in GCP or Azure infrastructure, database environments (MongoDB, PostgreSQL), and cloud-native serverless architectures.
  • AI/ML & IDP Mastery: Deep practical understanding of document classification, OCR/ICR extraction, schema design, model evaluation, and fine-tuning.
  • Problem-Solving Mindset: A startup growth mindset with a bias for action, creative problem-solving, and the technical confidence to debug complex deployment edge cases live with customers.

Success Measures

  • Technical win rate on pre-sales opportunities and enterprise deals.
  • Conversion rate of technical PoCs and pilots into active deployments.
  • Quality and velocity of pre-sales PoCs, solution blueprints, and prototype builds.
  • Field feedback contribution toward Product and Engineering roadmap improvements.

Travel Requirements : 20% to 30% dynamically based on customer needs.

What We Offer


  • Location: Fully remote work
  • Day-One Benefits: Enjoy comprehensive health, wellness, and retirement plans with robust benefits starting on your first day of employment.
  • Empowering Your Balance: Flexible vacation plan and flexible schedules to support your personal and professional well-being.
  • Continuous Career Development: Elevate your skills through ongoing training, corporate learning resources, and internal advancement opportunities on a global scale.
  • Compensation & Care: Competitive salary commensurate with your experience, paired with a comprehensive company-wide benefits package.

Reasonably expected salary range: $107,500.00 - $143,300.00

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

Skills Required

  • 5+ years of experience in Solutions Architecture, Data Engineering, or Software Engineering supporting enterprise cloud platforms
  • Hands-on experience with Python, Bash, SQL, and REST or GraphQL API integration development
  • Strong technical background in GCP or Azure infrastructure
  • Experience with MongoDB or PostgreSQL
  • Experience with cloud-native serverless architecture
  • Practical understanding of document classification, OCR/ICR extraction, schema design, and machine learning model fine-tuning
  • Ability to thrive in fast-paced environments with creative problem-solving, continuous learning, and a bias for action

Iron Mountain Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Iron Mountain and has not been reviewed or approved by Iron Mountain.

  • Inclusive Benefits Coverage — Inclusive, modern offerings are emphasized, including support for mental health, gender‑affirming care (with travel/lodging where needed), and family‑planning benefits. Recognition for disability inclusion is also highlighted, which aligns with accessible benefits and leave support.
  • Retirement Support — A formal 401(k) program is described with automatic enrollment and a clear employer match structure, with immediate vesting referenced in the materials. Access to supporting infrastructure and guidance is noted through dedicated benefits portals and administrators.
  • Healthcare Strength — Multiple national medical plan options are outlined, along with care navigation, virtual primary care, and pharmacy coverage. Additional wellbeing support is described via EAP services and structured wellbeing programming.

Iron Mountain Insights

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The Company
HQ: Boston, MA
32,000 Employees
Year Founded: 1951

What We Do

Iron Mountain Incorporated (NYSE: IRM) is the global leader for storage and information management services. Trusted by more than 220,000 organizations around the world, Iron Mountain boasts a real estate network of more than 80 million square feet across more than 1,350 facilities in 45 countries dedicated to protecting and preserving what matters most for its customers. Iron Mountain’s solutions portfolio includes records management, data management, document management, data centers, art storage and logistics, and secure shredding help organizations to lower storage costs, comply with regulations, recover from disaster, and better use their information. Founded in 1951, Iron Mountain stores and protects billions of information assets, including critical business documents, electronic information, medical data and cultural and historical artifacts.

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