Director or VP of Data Engineering at AcuityMD

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

320000.0

Posted On

08 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Platforms, Technical Leadership, Python, SQL, Cloud Data Warehouses, BigQuery, Data Quality, Data Governance, Data Systems, Analytics Engineering, Team Leadership, Mentoring, Product Strategy, Architectural Decisions, Debugging

Industry

Software Development

Description

Director or VP of Data Engineering AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution 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, ICONIQ Growth, and Ajax Health. We’re a high-growth SaaS company scaling rapidly. As Director or VP of Data Engineering, you will shape the systems that define how we understand healthcare at scale. You will decide what “truth” looks like in a messy, fragmented world and how fast and confidently our customers can act on it. Your technical, product, and leadership decisions will directly impact how quickly medical innovation becomes medical care. If you’re excited by the idea that better data infrastructure can lead to better outcomes for real people this role was built for you. Team Mission Medical technology only changes lives when it’s actually used. Every year, devices that could meaningfully help patients fail to reach the people who need them, not because the technology doesn’t work, but because adoption in the real world is hard. AcuityMD exists to close that gap. We help MedTech companies turn promising technology into real care by giving them the most accurate, actionable model of healthcare reality ever built. The data team sits at the center of that mission. The platforms and products this team builds power every part of our application and agentic experiences. They determine whether our customers can identify the right patients, reach the right providers, make the right decisions, and ultimately help the right people at the right time. When our data is right, billions of dollars of value are unlocked for our customers, and real patients get access to technologies that can improve or save their lives. This data team exerts massive leverage across our company and customer outcomes. Responsibilities Set and own the technical and organizational north star for data engineering at AcuityMD—defining how we build the world’s most accurate and actionable model of healthcare reality. Lead the design, implementation, and evolution of our core data platform, powering every aspect of our product and agentic experiences—from analytics and workflows to AI-driven insights. Translate company and product strategy into clear data investments, and clearly articulate the customer value of those investments to engineering, product, and leadership partners. Go deep when it matters: drive architectural decisions, review critical designs, debug hard problems, and coach the team through complex technical tradeoffs. Build data systems that are constantly improving, reliable, and trusted—supporting massive scale, complex healthcare data, and customer-facing use cases where correctness truly matters. Partner closely with product, data science, and engineering leaders to ensure tight feedback loops between data generation, modeling, and real-world customer outcomes. Lead, mentor, and grow a high-impact team of data engineers, data scientists, and domain experts, setting a high bar for methodological and technical rigor, ownership, and velocity. Establish strong—but pragmatic—standards for data quality, testing, observability, lineage, and governance, without slowing the team down. Shape the culture of the data organization: how we plan, how we ship, how we review work, and how we learn from mistakes. Stay close to the evolving state of modern data engineering and analytics engineering, bringing in new ideas when they meaningfully raise our ceiling. Your Profile 10+ years of professional experience in data engineering, data platforms, or closely related software engineering roles, including significant technical leadership experience. You’re as comfortable discussing schemas, query performance, and orchestration as you are discussing product strategy, customer impact, and team design. You are deeply hands-on and have designed, built, and operated production data systems that matter—pipelines, transformations, analytical models, and platforms that real users rely on. You’re fluent in Python and SQL, and have extensive experience working with modern cloud data warehouses, especially BigQuery. You have strong product instincts and enjoy working directly with product managers and data scientists to shape what gets built and why. You’ve led teams before and genuinely enjoy coaching, mentoring, and raising the bar for others. You think in systems: architecture, incentives, workflows, and failure modes—not just individual pipelines or tools. You communicate clearly and directly, can explain complex tradeoffs without hand-waving, and bring people along with you. You thrive in fast-moving, ambiguous environments and are excited by building foundational systems from an early stage. You care deeply about data quality, correctness, and trust—especially when data drives high-stakes decisions. You love working on a low-ego, high-ownership team building products that materially change how an industry operates. You have a BA/BS or MA/MS in Computer Science, Engineering, Mathematics, or a related field—or equivalent practical experience. Nice to Haves Deep experience with our stack: Python and SQL on GCP, with heavy BigQuery usage, plus tools like dbt, Dagster, Docker, and Kubernetes. Experience building data platforms that directly power customer-facing products and AI or agentic workflows. A background that spans data engineering and data science or ML-adjacent systems. Strong opinions about modern data architectures, analytics engineering, and the evolving role of data teams, backed by deep experience, that you’re constantly seeking to invalidate and refine. You’ve earned real scars from pipelines breaking, data being wrong, or systems buckling under scale—and you’ve used those lessons to build calmer, more resilient platforms. 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. Base Salary Range: $250,000-$320,000 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: 6-12 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.

Responsibilities

Set and own the technical and organizational direction for data engineering at AcuityMD, leading the design and implementation of the core data platform. Mentor and grow a high-impact team while ensuring data quality and supporting customer-facing use cases.