Senior Vice President of Engineering

Senior Vice President of Engineering – AI Personalization

Build the Learning Brain for Millions of Doctors Marrow is one of the most trusted learning platforms for doctors, operating at a scale few education companies ever reach—millions of learners,

petabytes of high-quality learning data , and

500+ million hours of video streamed

through a system as complex and secure as leading global streaming platforms.

Yet, the biggest opportunity is still ahead.

No one has truly turned this scale of data into an

intelligent learning brain —a system that deeply understands how doctors learn, where they struggle, and what they should do next. We are looking for our

next face of technology : a senior engineering leader who has built and scaled consumer platforms, shipped AI-driven systems into production, and now wants to define a category rather than just operate within one.

This role sits at the intersection of

product, platform, data, and AI , with a potential path to

CTO within ~2 years . We are part of M3, Inc., a global healthcare leader based in Tokyo, trusted by 4 million doctors across 9 countries. Since partnering with M3 in 2019, we’ve scaled to address challenges at the level of leading tech platforms. Learn more about our journey here: DailyRounds Watch our story: Marrow Brand Video.

What this person will be doing

Own the Technology Vision Lead Marrow’s transformation from a content platform into a

personalized learning system . Define and communicate a clear, long-term technical vision aligned with business and product strategy. Serve as a true partner to founders and product leadership, shaping product direction and technical execution.

Turn Learning Into Intelligence Unify videos, QBank, tests, and learner mistakes into a

single continuous feedback loop . Build data and ML-driven personalization that identifies real learning gaps and recommends precise next actions. Lay the foundation for future

AI-assisted test reviews, learning insights, and adaptive pathways .

Run and Evolve the Platform Ensure

Security, Scalability, and Stability (SSS)

across all systems while evolving architecture and reducing long-term tech debt.

Build and Lead High-Impact Teams Grow and lead engineering teams from

10 → 100+

across backend, mobile, data, AI, video, payments, and security, building a culture of ownership and delivery excellence.

What are we looking for

15-20 years (only) of experience

building and scaling complex software systems and consumer products. Proven track record of shipping

ML driven, data-centric features

into production. Strong background as a

backend and systems builder

with deep system-design expertise. Hands-on experience designing

data architectures

that support personalization, analytics, and scale. Led

monolith → microservices

transitions in real production environments. Experience operating under

high business urgency , translating founder-level goals into scalable systems. Built and led large engineering teams with consistent, predictable delivery. Comfortable working across a

diverse tech stack : backend, mobile, data, AI, video, payments, and security.

Preferred Qualifications

Experience spanning both

high-growth startups

and

process-driven, mature organizations . Ability to operate fluidly across layers of the stack—backend, data, and mobility. Led platforms through rapid growth, handling scale, performance, and organizational change. Practical experience applying

security principles

in large-scale systems. Background in large-scale streaming, media platforms, or data-intensive consumer products.

If you’ve already scaled systems and teams—and now want to build something that truly matters—this role was designed for you.

Feel free to drop your updated resume to

.