At HyperScience, we use modern machine learning to turn documents into machine-readable data. Our customers receive a wide variety of documents, like life insurance applications, paystubs, utility bills, insurance claims, that must be processed quickly and accurately to better serve the people at these organizations, and their customers. Amazingly, this is all done manually today. We’re on a mission to change that!
Our product is already delivering value to large, blue-chip organizations in financial services and insurance, and we see a massive opportunity to expand to more industries and automate more business processes. We are looking for people who are excited to help us build upon this foundation and vision.
Founded in 2014 by Peter Brodsky, Vladimir Tzankov, and Krasimir Marinov, Hyperscience has raised over $48 million from SV Angel, The Stripes Group, Firstmark, Battery Ventures, and Felicis Ventures.
We are looking for a Solutions Engineer to support and help build our growing Sales team in achieving revenue targets. You will serve as the technical liaison between Sales and other parts of the organization, especially Product and Engineering, to help articulate uniquely valuable Enterprise solutions that drive revenue growth. You’ll partner with Enterprise Account Executives to build and execute on custom demos and presentations. You love explaining technical capabilities to non-technical prospects, and can still get into the weeds with the technical experts. You will work with leadership and cross-functional teams to develop new strategies, methods, and tools to enable the sales team to meet and exceed their sales goals.
Serve as the technical liaison, collaborate with internal sales, marketing and services teams to develop customized presentations, demos, and POCs
Contribute to sales scripts, participate in customer discovery, share knowledge expertise, and guide solution development/deployment
Develop internal solutions (tools, demos, assets) to increase sales efficiency and productivity
Communicate customer requirements and potential competitor solutions. Provide a strong technical response in response to specific customer needs
Manage customer POCs, working in collaboration with the Account Executive to ensure that customers are engaged with the product and are moving toward a resulting solution
Educate technical and architectural concepts to a variety of audiences, including business and IT stakeholders
Keep current on product releases and product roadmap features in order to provide guidance and training to current reps and new hires
Document and deliver both product feedback and new requirements from the field
Maintain a deep understanding of HyperScience products, working closely with sales to resolve critical technical issues
3-5+ years experience in a pre-sales, sales engineering, or related role within enterprise SaaS software
Deep interest in commercial problem solving and client facing work
Ability to influence both technical and executive audiences
Savvy presentation and demonstration skills, fluidly translating complex technology concepts
Advocate for team selling, partnering with sales to qualify opportunity and align key customer stakeholders
A passion for enterprise software, and a philosophy of using technology to help solve business problems
Keen analytical and problem solving skills, and a belief that every problem has at least one solution
Curiosity to learn and assimilate technical information quickly, enthusiasm to share and teach others
Ability to travel
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.
is to automate low-, medium-, and high-skill office work in order to help our customers do their jobs better, faster, and cheaper.
is to build products that are drop-in replacements for existing manual business processes. There are no lengthy integration periods and no steep learning curves. Customers do not need to change anything about how they operate, or understand anything about artificial intelligence in order to benefit from our suite of work automation products.