Forward Deployed Solutions Engineer [Public Sector]

Hyperscience • Park City, UT

1d • Remote

About The Position

At Hyperscience, we leverage AI to read, understand, and process documents at massive scale, transforming complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to automate end-to-end processes, leading to faster decisions, increased productivity, and enhanced customer experiences. Leading organizations like American Express, Charles Schwab, and the US Social Security Administration utilize the Hypercell platform. This role specifically embeds a deep engineering mindset directly into the sales process, owning the technical engagement from end-to-end. The successful candidate will ensure Hyperscience's Intelligent Document Processing (IDP) solutions are designed, prototyped, and successfully deployed with measurable outcomes, supporting Public Sector customers both 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.
• Proven experience working in or selling into US Federal, State/Local, or public sector technology environments, with an understanding of government procurement cycles, stakeholder structures, and compliance constraints.
• 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

• Active security clearance or demonstrated ability to obtain one.
• Familiarity with FedRAMP, FISMA, or ATO processes.
• Exposure to IDP, RPA, OCR, or ML-based document processing/automation.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees