• Demonstrate, showcase, and explain AcuityMD’s approach to core data, data quality, and algorithms to prospects. • Articulate how AcuityMD data products contribute to critical functionality and support our business case with prospects. • Collaborate with prospects and customers to define business requirements related to AcuityMD core data or algorithms. • Serve as the primary point of contact for prospects on all data-related questions. • Maintain deep expertise in the functionality, underlying data and business case for all aspects of the AcuityMD platform. • Collaborate with the sales and product teams to uncover and address business and data challenges in the pre-sales process. • Collaborate with the implementations team to serve as an subject matter expert for using healthcare data (e.g., medical claims) to drive Targeting strategies. • Interface with product and product marketing teams to refine messaging and product roadmap.

Data Solutions EngineerAcuityMD is a software and data platform that accelerates access to medical technologies. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, and Ajax Health and we help MedTech companies identify how their products are used, understand why outcomes vary and identify opportunities where physicians can better serve their patients. We are hiring a Data Solutions Engineer to articulate and champion the AcuityMD approach to data and how it drives business results for our MedTech customers. You will be customer-facing and will build relationships throughout the customer journey, across both pre- and post-sales interactions. You will help prospects overcome data hurdles during the sales process, and help our customers envision the value of AcuityMD for their teams. The TeamWe are building a best-in-class Commercial Team and establishing a repeatable go-to-market motion. We are hiring a team of high caliber Enterprise SaaS sales, marketing, and customer success professionals to thoughtfully engage VPs, General Managers, and other corporate decision makers across the Medical Device Industry. Our Commercial Team takes a proactive, consultative, and high-touch approach when working with customers, investing heavily in pre-sales through onboarding and training to ensure customers are on the road to success from day one. We strongly encourage people of all backgrounds to apply. Responsibilities - Demonstrate, showcase, and explain AcuityMD’s approach to core data, data quality, and algorithms to prospects - Articulate how AcuityMD data products contribute to critical functionality and support our business case with prospects - Collaborate with prospects and customers to define business requirements related to AcuityMD core data or algorithms - Serve as the primary point of contact for prospects on all data-related questions - Maintain deep expertise in the functionality, underlying data and business case for all aspects of the AcuityMD platform - Collaborate with the sales and product teams to uncover and address business and data challenges in the pre-sales process - Collaborate with the implementations team to serve as an subject matter expert for using healthcare data (e.g., medical claims) to drive Targeting strategies - Interface with product and product marketing teams to refine messaging and product roadmap Your Profile - You have 5+ years of experience serving as a healthcare data subject matter expert as a healthcare consultant, sales engineer, account executive, or customer-facing similar role - You have a deep understanding of medical claims and other healthcare data - You are passionate about harnessing data and algorithms to drive MedTech commercial effectiveness or sales enablement - You have an excellent ability to craft and deliver tailored sales and data-centric or technical presentations - You have executive-level communication skills (both in presentation and writing), and can effectively communicate sophisticated business software and data concepts - You are highly empathetic to customer needs - You have great interpersonal skills and are enthusiastic about teaching data Nice to Haves - You have experience managing and/or selling enterprise SaaS, healthcare data, or healthcare consulting projects - You have experience using Looker, Tableau, PowerBI, or similar BI-tools to prepare customer-facing reports - You are proficient in using SQL (or equivalent) to understand and build empathy for healthcare datasets You must have an eligible work permit in the USA to be considered for this position. AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. OTE salary range: We Offer: - Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). - Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. - Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees. - Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. - Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents. - Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement. - Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. - Parental Leave: 8-16 weeks of fully-paid, flexible parental leave. Who We Are:The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

• Own the Analytics Architecture: Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer. • Translate complex business concepts (e.g., employer subsidies, commuter utilization, B2B revenue recognition, trip profitability) into scalable, well-tested data models. • Establish modeling standards using dbt to ensure consistency, reusability, and performance. • Partner Cross-Functionally: Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products. • Serve as a thought partner on metric definitions, experimentation design, and KPI tracking. • Identify opportunities to improve existing data infrastructure and proactively drive implementation of better solutions. • Drive Analytics Engineering Excellence: Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt. • Define best practices for SQL style, modular modeling, CI/CD workflows, and automated data testing. • Ensure high standards of documentation, observability, and auditability across all data assets. • Strengthen Data Governance & Quality: Implement automated data validation and monitoring frameworks. • Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness. • Maintain integrity and reliability of business-critical metrics.

• Own the Analytics Architecture • Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer. • Translate complex business concepts (e.g., employer subsidies, commuter utilization, B2B revenue recognition, trip profitability) into scalable, well-tested data models. • Establish modeling standards using dbt to ensure consistency, reusability, and performance. • Partner Cross-Functionally • Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products. • Serve as a thought partner on metric definitions, experimentation design, and KPI tracking. • Identify opportunities to improve existing data infrastructure and proactively drive implementation of better solutions. • Drive Analytics Engineering Excellence • Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt. • Define best practices for SQL style, modular modeling, CI/CD workflows, and automated data testing. • Ensure high standards of documentation, observability, and auditability across all data assets. • Strengthen Data Governance & Quality • Implement automated data validation and monitoring frameworks. • Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness. • Maintain integrity and reliability of business-critical metrics.