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Sell radiology IT solutions by building strategic account plans, managing long technical sales cycles, maintaining a 3-5× quota pipeline, forecasting in Salesforce, partnering with marketing/inside sales, and representing the company at industry conferences.
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Ai-Driven SolutionsMiller Heiman Blue SheetsMiller Heiman Strategic SellingPacsReporting WorkflowRisSalesforce
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Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.
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Event-Driven ArchitectureGenerative AiGoGraphQLJavaMicroservicesPythonRest ApisRuby
- Build Account Call Plans and/or Miller Heiman Blue Sheets for strategic deals and update them throughout the sales cycle
- Act as a subject matter expert by staying current on radiology, imaging workflow, and industry trends
- Partner closely with Marketing and Inside Sales to develop leads, campaigns, and prospecting strategies
- Represent the company at key industry conferences such as RSNA, SIIM, and additional radiology associations
- Work in Salesforce daily to manage contacts, activities, and opportunities
- Consistently meet or exceed your annual new business sales targets
- Maintain a healthy pipeline at 3–5×quota
- Forecast opportunities accurately using our structured sales process
Requirements
- 5+ years of healthcare sales experience, with a strong record of new business acquisition
- Proven success selling complex technology or service solutions
- Experience in radiology/imaging environments strongly preferred
- Background selling reporting workflow, RIS/PACS, or related imaging applications is a plus
- Strong consultative selling approach and ability to manage long, technical sales cycle
Preferred Qualifications:
- Experience selling AI-driven solutions into clinical environments
- Existing network of radiology leaders (C-suite, Chiefs of Radiology, Imaging Directors)
- Prior success selling to both community practices and large IDNs
- Certification in Miller Heiman Strategic Selling
Benefits
- Join a fast-growing healthcare technology company at the forefront of AI innovation in radiology.
- Own meaningful work that impacts radiologists, healthcare systems, and patient outcomes worldwide.
- Collaborate in a mission-driven, innovative culture built on trust, quality, and purpose.
- Enjoy flexibility, with adaptable hours and up to 80% remote work within the U.S. or Canada.
- Competitive compensation and benefits, including health insurance plans, 401(k), and other perks supporting your well-being.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
