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.
Key Responsibilities:- Solution Alignment, Deployment & Continuous Outcome Management: Lead the technical lifecycle from discovery through initial production deployment, ensuring solution designs transition into successful implementations with clear, measurable technical outcomes.
- Hands-on Customization & Code: 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.
- Technical Strategy & Deal Acceleration: 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.
- Post-Sale Technical Partnership: 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.
- Risk & Scoping Management: Define and document the precise technical scope, compute resourcing, TCO (Total Cost of Ownership), and integration strategy to mitigate deployment risk for enterprise customers.
- Product Feedback Loop: 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.
Required Qualifications:- Hands-on Engineering & Code Proficiency: 5+ years of experience in a customer-facing engineering role, with proven proficiency in Python and developing/debugging code for enterprise applications.
- Cloud Architecture & Deployments: Strong comprehension of modern cloud architecture (AWS, Azure, GCP) and containerized deployment patterns (Docker/Kubernetes).
- Technical Education & Acumen: BSc in a technical field (Computer Science, Engineering, Data Science) or equivalent hands-on engineering background.
- Consultative & Technical Communication: Proven ability to translate complex technology concepts (IDP, AI) into clear business value for executive, technical, and non-technical stakeholders.
Bonus Qualifications:- Exposure to IDP, RPA, OCR, or ML-based document processing/automation.
- Enterprise integration scoping: APIs, web services, database connectivity.
- Infrastructure as Code (Terraform, CloudFormation).
Company Values & Perks: Hyperscience is a people-first company, committed to empowering our team to make a tangible impact. Our core values, including "Innovation that Transforms," "Lead with Trust," and a "Win Together" ethos, guide our collaborative culture. As a global organization, our benefits vary by region, but we are united by a fundamental belief in work-life flexibility. We support our team with flexible PTO and work-from-home options, recognizing the importance of a healthy balance between professional and personal life.
Benefits:- Health & Wellness: Company-covered Healthcare Coverage plans for you and your family, including HSA, PPO, Vision, Dental and Mental Health Wellness plans.
- Retirement & Financial: 401(k) through Empower with company match up to 6% of your annual salary.
- Paid Time Off (PTO): Flexible-use PTO, unaccrued and uncapped, subject to manager approval.
- Parental Leave: 12 weeks of paid parental leave, with an additional 4 weeks paid for birthing parents.
- Equity: Opportunity to own Stock Options in the company.
