Job DescriptionJob DescriptionAbout 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 However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.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: Senior Data Services EngineerThe Senior Data Services Engineer role is responsible for driving the hands-on technical success of our global enterprise and government clients. This role involves training and refining high-performance Machine Learning models, leading software implementation, and acting as a critical liaison between clients, Sales, Product, and Engineering teams.
This is a hybrid role based in Park City, Utah, requiring a minimum of three days per week in the office, this role will also have the unique opportunity to work alongside C-suite team members.Key Responsibilities:
Model Implementation & Client Success: Lead the end-to-end design, training, and successful deployment of high-performance AI models, ensuring implementation plans meet strategic client goals.
Data Quality & Process Ownership: Independently execute complex data annotation and Quality Assurance (QA) projects, while defining and championing best practices and operational guidelines for the team.
Technical Expertise & Mentorship: Serve as the primary technical expert, handling complex escalations and troubleshooting, while mentoring junior engineers on technical execution and best practices.
Cross-Functional Impact: Act as a critical liaison, translating client needs to technical solutions and providing actionable product feedback and performance insights to internal Product, Design, and Engineering teams.Required Qualifications:
Experience & Scope: 4-5 years of progressive experience in a technical consulting or customer-facing software services role, including proven expertise in enterprise implementation and technical escalation management.
Core Professional Skills: Strong demonstrated analytical, problem-solving, and collaboration skills, with excellent verbal and written communication suitable for both technical teams and client audiences.
Technical Acumen: Proven ability to rapidly learn and master new software platforms and interfaces, coupled with meticulous attention to detail and proficiency in spreadsheet tools (e.g., Excel/G-Sheets).Bonus Qualifications:
Educational Background: Relevant degree (or equivalent ongoing studies) in a technical field such as IT, Economics, Business Administration, or related disciplines.
ML Model Experience: Direct experience with training and iterating Machine Learning models is highly beneficial.
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.
Compensation Philosophy:Our compensation philosophy at Hyperscience is a reflection of our commitment to fairness and equity, designed to attract, motivate, and retain top talent. We believe in a competitive and transparent pay structure that is grounded in a total rewards approach.
The target base salary for this role is $61,500 - $92,000. Final compensation will be determined by skills, experience, qualifications, geographic location, and business needs.
In addition to salary,
every full-time employee is awarded equity in Hyperscience, ensuring that each person has the opportunity to share in the ownership and long-term value we are creating together. We are not just building a company; we are building something that belongs to all of us.
Our total rewards package includes:-Competitive base salary-Equity ownership for every full time employee-Bonus opportunities-Comprehensive benefits and perks (outlined below)
Throughout the hiring process, our Talent Acquisition team will share more about our Total Rewards philosophy and how we support your growth, well-being, and future.
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.
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
---PLEASE BE AWARE of, and cautious about, potential recruitment fraud. All of our open jobs can be found directly on our careers page at:https://www.hyperscience.ai/about-us/careers/open-positions/We will never communicate with candidates except via our @hyperscience.ai email domain. Any communication you receive outside of these parameters is potentially fraudulent.
Additionally, we never conduct interviews solely via online tests, nor do we make job offers without multiple cross functional live interviews via Zoom, phone or onsite. We only ask for personal information via our application process on our careers page or through a verifiable background check company during onboarding.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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