Forward Deployed Solutions Engineer [Commercial]

HypersciencePark City, UT
Remote

About The Position

About our Company At Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their mortgage, a patient waiting for insurance coverage, or a student waiting for their visa to study abroad. However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers. As a distinguished leader in its market category, including a Leader in the 2025 Gartner Magic Quadrant for Intelligent Document Processing Solutions and several other leading industry analyst reports , our technology flips the script with an AI platform that reads, understands, and processes documents at massive scale—automatically. The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity. Leading organizations including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, The United States Department of Veterans Affairs, and several others use the Hypercell platform to achieve a faster path to decisions, dramatic increases in productivity, and unparalleled business impact. Hyperscience is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global. About the Role: This role embeds a deep engineering mindset directly into the sales process. You will own the technical engagement end-to-end — ensuring Hyperscience's Intelligent Document Processing (IDP) solutions are not only sold, but designed, prototyped, and successfully deployed with measurable outcomes, supporting Commercial customers pre- and post-sale. This is a remote-first role with travel required for customer site visits and team meetings.

Requirements

  • 5+ years of experience in a customer-facing engineering role, with proven proficiency in Python and developing/debugging code for enterprise applications.
  • Strong comprehension of modern cloud architecture (AWS, Azure, GCP) and containerized deployment patterns (Docker/Kubernetes).
  • BSc in a technical field (Computer Science, Engineering, Data Science) or equivalent hands-on engineering background.
  • Proven ability to translate complex technology concepts (IDP, AI) into clear business value for executive, technical, and non-technical stakeholders.

Nice To Haves

  • Exposure to IDP, RPA, OCR, or ML-based document processing/automation.
  • Experience with Enterprise automation platforms (e.g., Microsoft Power Automate, Appian, Zapier, IFTTT, etc)
  • Enterprise integration scoping: APIs, web services, database connectivity.
  • Infrastructure as Code (Terraform, CloudFormation).

Responsibilities

  • Lead the technical lifecycle from discovery through initial production deployment, ensuring solution designs transition into successful implementations with clear, measurable technical outcomes.
  • Write, prototype, and refine solution logic (e.g., custom Python code, API integrations, workflow configurations) during the Proof of Concept (POC) and initial deployment phases.
  • Act as the technical owner in sales cycles, architecting the end-to-end solution and handling technical objections, while identifying and grooming internal change agents into champions who advocate for Hyperscience across their organization.
  • Collaborate with other Tech & Sales partners to drive the initial forward-deployed engagement, fine-tune models on customer data, and document the final solution for seamless handoff and optimization.
  • Define and document the precise technical scope, compute resourcing, TCO (Total Cost of Ownership), and integration strategy to mitigate deployment risk for enterprise customers.
  • Actively gather and synthesize critical product feedback and emerging field intelligence, serving as the voice of the customer to internal Product and Core Engineering teams.

Benefits

  • Company-covered Healthcare Coverage plans for you and your family, including HSA, PPO, Vision, Dental and Mental Health Wellness plans.
  • 401(k) through Empower with company match up to 6% of your annual salary.
  • Flexible-use PTO, unaccrued and uncapped, subject to manager approval.
  • 12 weeks of paid parental leave, with an additional 4 weeks paid for birthing parents.
  • Opportunity to own Stock Options in the company.
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