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Engineering Manager - AI/Data image - Rise Careers
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Engineering Manager - AI/Data

We’re looking for a Software Engineering Manager with 3+ years of eng. management experience and 5+ years of hands-on coding experience who wants to make an impact leading our new Automated Intelligence and Clinical Data teams. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery.


*If you want to tackle tough technical challenges*, we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale, the constraints of a distributed labor force working in patients’ homes, and the challenge of reaching millions of patients that have become disengaged from the healthcare system and things get interesting quickly. We need a strong leader who can drive their team to solve the hard problems like how to:


🔍 Uncover care gaps and predict future risk with deep analysis of patient records

📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over past patient records

📊 Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans

🤖 Detect and prevent medical data errors with automated validation and anomaly detection

🏗️ Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data


If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth.


Since just 2021, we've grown to:


👥 >50k patients served

🚀 6x revenue growth last year, 5x the year before

🌍 >60% coverage of the US population

🏥 6 of the 10 largest US health plans

🏦 >$70M raised from a16z, General Catalyst, GV, and Accel


*If you want to grow faster than you ever could at a big company*, we want to talk to you. If you're a fellow industry veteran looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As an engineering leader at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success.


*If you want to make a difference*, we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company.


If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat.


Cameron,

Co-founder / CTO



Direct Experience
  • 3+ years of experience managing and growing engineering teams (5-10 engineers), including hiring, mentoring, and performance management
  • 5+ years of hands-on software engineering experience, with a focus on full-stack development
  • Proven ability to balance fast-paced execution with technical excellence, particularly in startup or high-growth environments
  • Experience working cross-functionally with product, operations, and data teams to drive business and customer impact
  • Experience managing engineering teams


Technical Experience
  • Full-stack engineering background – Node.js and React preferred
  • Experience leading data-intensive teams, working with data pipelines, analytics platforms, or ML infrastructure


Nice to Have
  • Experience in health tech, healthcare operations, or logistics (supply/demand, forecasting, inventory, routing, scheduling)
  • Experience scaling backend systems to support rapid business growth and operational complexity
  • Hands-on experience with Big Data, data platforms, and data pipelines
  • Experience managing in mid-stage or growth-stage startups, particularly in logistics-heavy, scheduling-driven, or operationally complex environments
  • Understanding of data privacy, HIPAA compliance, and security best practices in healthcare or other regulated industries


The Fun Stuff
  • Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar
  • Team offsites, game hours, tech talks, and design sprints
  • Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
  • Dental / vision / wellness benefits
  • 401k matching
  • Unlimited PTO
  • Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days)
  • Relocation assistance
  • Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid)


$170,000 - $215,000 a year
The base salary range for this full-time position is $170,000 - $215,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits

Sprinter Health is an equal opportunity employer. We 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, disability status or other protected classes.


If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today!


Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.


If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

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$170000K
$215000K

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What You Should Know About Engineering Manager - AI/Data, Sprinter Health

At Sprinter Health, we're on the hunt for an Engineering Manager - AI/Data to lead our innovative Automated Intelligence and Clinical Data teams in Menlo Park, CA. If you have a passion for transforming healthcare and a solid background in engineering management, this could be your next big adventure! Here, we are dedicated to reimagining last-mile healthcare delivery for millions of patients who feel disconnected from current systems. As an Engineering Manager with at least 3 years of management experience and a robust 5+ years in hands-on coding, you'll face exciting challenges that blend technology with healthcare logistics. Think of tasks like predicting future healthcare risks through deep analysis of patient records or synthesizing clinical summaries using the latest AI techniques. The role offers you the chance to build incredible systems from the ground up while driving meaningful impact across large health plans. With rapid growth since 2021—serving over 50,000 patients and raising more than $70M in funding—you’ll be working at a company that prizes innovation and dedication. Our team values a friendly, collaborative spirit, and we believe in nurturing our talent. That’s why you’ll enjoy terrific perks like a stocked kitchen, flexible work hours, and even generous parental leave. If you want to grow faster than at a traditional company while making a difference in people's lives, this opportunity with Sprinter Health might just be the perfect fit for you. Let’s connect and chat about your potential future here!

Frequently Asked Questions (FAQs) for Engineering Manager - AI/Data Role at Sprinter Health
What are the responsibilities of the Engineering Manager - AI/Data at Sprinter Health?

The Engineering Manager - AI/Data at Sprinter Health is responsible for leading the Automated Intelligence and Clinical Data teams. This includes designing and executing technical strategies, managing engineering processes, and ensuring successful project delivery. You will work to uncover healthcare gaps, manage data workflows, and harmonize reporting for millions of patients. Your role will also entail mentoring engineers and driving collaborative efforts with product and operations teams.

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What qualifications are required for the Engineering Manager - AI/Data position at Sprinter Health?

To qualify for the Engineering Manager - AI/Data role at Sprinter Health, candidates should have at least 3 years of experience managing and growing engineering teams, along with 5+ years of hands-on software engineering experience. An ideal background would include full-stack development expertise, particularly in Node.js and React, and experience with data-intensive projects, as well as knowledge of health tech, logistics, or related fields.

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What kind of work culture can I expect at Sprinter Health as an Engineering Manager - AI/Data?

Sprinter Health fosters a dynamic and collaborative work culture, particularly for the Engineering Manager - AI/Data role. We emphasize teamwork, innovation, and personal growth, offering perks like flexible work-from-home policies and regular offsite activities. Our leadership encourages professional development and values everyone's contributions, creating an inclusive environment that celebrates diversity.

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What career growth opportunities does the Engineering Manager - AI/Data position at Sprinter Health offer?

The Engineering Manager - AI/Data position at Sprinter Health provides numerous career growth opportunities. As a key team leader in a rapidly growing company, you will have the chance to take on substantial responsibilities, make impactful decisions, and work alongside seasoned professionals from top tech companies. The environment encourages innovation and personal development, making this a fantastic opportunity for career advancement.

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What salary range and benefits can the Engineering Manager - AI/Data expect at Sprinter Health?

The salary range for the Engineering Manager - AI/Data position at Sprinter Health is between $170,000 and $215,000, along with equity and comprehensive benefits. Our offerings include health insurance, 401k matching, unlimited PTO, and generous parental leave policies. The total compensation package fluctuates based on individual skills and experience, and reflects our commitment to investing in our employees.

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Common Interview Questions for Engineering Manager - AI/Data
How do you approach managing an engineering team in a fast-paced environment?

To manage an engineering team effectively in a fast-paced environment, I prioritize clear communication and set specific, measurable goals. I believe in empowering team members to innovate while ensuring that they stay aligned with project objectives. Additionally, implementing agile methodologies allows for quick adaptations to changing priorities.

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What experience do you have with full-stack development?

In my previous roles, I worked extensively on full-stack development, focusing on technologies like Node.js and React. I not only implemented features but collaborated with cross-functional teams to optimize the user experience and backend performance. My experience provides me with a holistic view of projects and their challenges.

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How would you handle conflicts within your team?

I address conflicts within my team with an open dialogue approach, ensuring everyone's perspective is heard. My strategy involves mediating discussions, clarifying misunderstandings, and focusing on team goals to guide us towards resolution. Building a respectful and communicative team culture is key to preventing conflicts.

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Can you discuss a challenging project you've worked on?

In a past position, I led a project requiring integration of complex data pipelines. The challenges included data normalization across different systems. I coordinated efforts between engineering and data teams, facilitating brainstorming sessions that culminated in efficient solutions, ensuring timely project completion.

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What role does mentorship play in your management style?

Mentorship is crucial in my management style. I believe in nurturing growth by providing constructive feedback and guidance. By focusing on personal development, I help team members reach their full potential, fostering both confidence and competence within my team.

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How do you prioritize tasks for your team?

To prioritize tasks effectively, I utilize a combination of urgency and impact assessments. I often engage with stakeholders to understand project needs and align team focus accordingly. Using project management tools also helps ensure transparency and clarity in our workflow.

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How do you keep up with the latest technology trends?

I dedicate time to follow relevant industry news, participate in webinars, and engage with professional communities online. I often explore new technologies through practical experimentation, encouraging my team to adopt and integrate relevant advancements into our projects.

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What strategies do you use to enhance communication in a remote team?

In a remote team setting, I rely on tools like video conferencing, instant messaging, and collaborative platforms to facilitate communication. I also emphasize regular check-ins and one-on-one meetings to ensure everyone is aligned and feels supported, maintaining both productivity and team morale.

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Describe your experience with data analytics and predictive modeling.

I have considerable experience working with data analytics and predictive modeling, where I've leveraged data to detect trends and forecast outcomes. This helps in making informed decisions that drive project direction, particularly in healthcare scenarios to improve patient outcomes.

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Why do you want to work as an Engineering Manager - AI/Data at Sprinter Health?

I'm motivated to work as an Engineering Manager - AI/Data at Sprinter Health because I want to apply my skills towards meaningful changes in the healthcare system. I believe my background in engineering and my desire to innovate aligns perfectly with Sprinter's mission of enhancing patient care.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 21, 2025

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