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Hyperscience Jobs (NOW HIRING)

Experience implementing solutions that utilize robotic process automation (RPA), natural language processing (NLP), or Hyperscience TASKS * Provide support for cross-functional teams responsible for ...

Experience with Hyperscience technologies for automating business processes and digitizing documents. * Familiarity with Microsoft Power Automate. * Knowledge of Oracle and Microsoft Database ...

Experience with Hyperscience technologies for automating business processes and digitizing documents. Familiarity with Microsoft Power Automate. Knowledge of Oracle and Microsoft Database ...

Senior AI Engineer

New York, NY · On-site

$180K - $230K/yr

David was co-founder and CEO of Triplemint, which he led to acquisition, and Zander was technical co-founder of Nomad Health (now post-Series D) and most recently led Platform at Hyperscience AI. We ...

Staff AI Engineer

New York, NY · On-site

$210K - $260K/yr

David was co-founder and CEO of Triplemint, which he led to acquisition, and Zander was technical co-founder of Nomad Health (now post-Series D) and most recently led Platform at Hyperscience AI. We ...

Hyperscience information

What is the difference between Hyperscience vs Data Scientist?

AspectHyperscienceData Scientist
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; experience with machine learning and data processing toolsBachelor's or higher in Computer Science, Statistics, or related; advanced knowledge of programming, statistics, and machine learning
Work EnvironmentTechnology companies, data processing firms, automation solutionsResearch labs, tech companies, finance, healthcare, and consulting firms
Employer & Industry UsageUsed in automation and AI-driven data processingUsed in data analysis, predictive modeling, and decision-making

Hyperscience professionals focus on automating data entry and processing using AI, while Data Scientists analyze data to generate insights and build models. Both roles require technical skills, but Hyperscience roles are more centered on automation tools, whereas Data Scientists emphasize statistical analysis and modeling.

What are some common challenges faced by machine learning engineers at Hyperscience, and how are they addressed?

Machine learning engineers at Hyperscience often tackle challenges related to processing large volumes of unstructured data, ensuring model accuracy, and integrating AI solutions seamlessly into enterprise workflows. Collaborating closely with product, engineering, and data science teams helps identify the best approaches to solve these issues. Regular code reviews, robust testing, and knowledge sharing sessions are key strategies used to maintain high standards and foster innovation. Open communication and a supportive team environment encourage creative problem-solving and continuous learning.

What is Hyperscience and what does the company do?

Hyperscience is a technology company that specializes in intelligent document processing and automation solutions for businesses. Their platform uses advanced machine learning and artificial intelligence to help organizations extract, classify, and validate data from various documents, such as forms and invoices, with high accuracy. By automating these processes, Hyperscience helps companies reduce manual data entry, improve efficiency, and decrease operational costs. Their solutions are used in industries like banking, insurance, and government to streamline workflows and enhance productivity.

What are the key skills and qualifications needed to thrive as a Hyperscience Implementation Specialist, and why are they important?

To thrive as a Hyperscience Implementation Specialist, you need a solid understanding of data processing, workflow automation, and experience with enterprise software solutions, often supported by a background in computer science or information systems. Proficiency with Hyperscience’s platform, APIs, and familiarity with related tools such as SQL and document management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for collaborating with clients and internal teams. These skills ensure successful deployment, customization, and support of Hyperscience solutions, leading to improved operational efficiency for clients.
More about Hyperscience jobs
What cities are hiring for Hyperscience jobs? Cities with the most Hyperscience job openings:
What states have the most Hyperscience jobs? States with the most job openings for Hyperscience jobs include:
Infographic showing various Hyperscience job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 60% Physical, and 40% Remote job distribution.
Technical Account Executive [Commercial]

Technical Account Executive [Commercial]

Hyperscience

Dallas, TX • On-site

$300K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

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:

Hyperscience is seeking a strategic, highly technical Enterprise Account Executive to drive new logo acquisition and long-term growth across the commercial space. This role requires a deep understanding of SaaS Infrastructure and Enterprise software, as you will be expected to speak fluently about our platform’s architecture and business impact.

You will lead the full sales lifecycle—from hunting new business to overseeing strategic expansion—while working in lockstep with our embedded technical engineers to ensure seamless implementation. By combining your sophisticated sales approach with a deep command of our AI technology, you will position Hyperscience as a mission-critical partner and accelerate the journey from initial discovery to realized enterprise ROI.
Role Location: Remote (Greater Austin or Dallas, TX preferred)

Travel: Required as needed to accommodate customer meetings and technical deep-dives.

Key Responsibilities:
  • Territory Growth: Drive net-new logo acquisition within strategic enterprise accounts, focusing on the Financial Services, Transportation & Logistics, and Healthcare sectors.

  • Full Lifecycle Management: Own the end-to-end customer journey for accounts you close, including proactive outbound prospecting, renewals, and strategic expansion.

  • Technical Orchestration: Lead a unified GTM strategy alongside Forward Deployed Solution Engineers to bridge complex business problems with AI-driven solutions, accelerating deployment and time-to-value.

  • Executive Relationship Building: Develop multi-threaded relationships with C-level decision-makers by leveraging the deep technical expertise of our embedded engineering partners.

  • Strategic Pipeline Generation: Execute a self-sourced outbound strategy targeting high-value, greenfield accounts to ensure a consistent and healthy sales funnel.

  • Market Intelligence: Influence regional strategy by providing real-time feedback on buyer dynamics to improve sales enablement and product-market fit.

Required Qualifications:
  • 5+ years' experience selling Enterprise B2B SaaS solutions.

  • Technical Fluency: High proficiency in SaaS infrastructure and a deep understanding of how enterprise software and AI models integrate within complex, legacy IT environments.

  • Strategic Growth Mindset: Proven success in a high-growth model, with a track record of both winning new enterprise business and scaling long-term account value.

  • Vertical Expertise: Recent experience selling into one or more of the following sectors: Financial Services, Insurance, Transport & Logistics, or Manufacturing.

  • Agility in Innovation: Success working within "Challenger" technology environments, with a proven ability to navigate ambiguity and sell disruptive solutions.

  • High-Stakes Negotiation: A consistent track record of managing multi-threaded, high-value sales cycles with CxO-level stakeholders.

Bonus Qualifications:
  • Collaborative Selling: Experience leveraging a technical co-selling model with Forward Deployed Solution Engineers (FDSEs) for proactive client engagement and accelerated solution implementation.

  • Domain Expertise: Deep familiarity with AI, Generative AI (GenAI), Automation, or Intelligent Document Processing (IDP) technologies.

  • Sales Rigor: Experience with structured sales methodologies (e.g., MEDDPICC).

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.

[US Applicants] 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.

[EU Applicants] All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI Transparency Notice We use AI tools to assist our team in screening resumes for job-related skills and qualifications, though a human recruiter ultimately reviews all applications before any hiring decisions are made. In accordance with North American, United Kingdom, and European Union (GDPR) regulations,, you have the right to request a manual review of your application or a reasonable accommodation if you prefer an alternative to automated screening. For more details on the logic used or to exercise these rights, please contact recruiting@hyperscience.ai.

Beware of recruitment fraud; all official Hyperscience communication is sent exclusively from the @hyperscience.ai domain and we never extend offers without multiple live interviews. Personal information is only requested through our secure application process or via verified background check partners during onboarding.

Compensation Range: $300K - $330K