Lead Engineer, Back End at Real Chemistry Media

Real Chemistry Media is transforming how medical and healthcare marketers engage healthcare professionals (HCPs) and consumers through data, technology, and omnichannel innovation. Real Chemistry Media’s product and technology teams are building an enterprise platform for omnichannel orchestration in healthcare marketing.

The platform enables healthcare organizations to design, deploy, and optimize HCP journeys through a scalable, self-service product that connects to their existing marketing and data systems. The platform is live with early users and on track with rapid growth milestones.

You will lead back-end architecture and hands-on delivery, hire and grow a team of back-end and data engineers, and direct how the platform’s data scales, stays reliable, and connects to the systems around it.

What You’ll Do:

• Lead the platform’s application data model in Aurora and DynamoDB, and the access-pattern decisions behind it, as the product scales.
• Drive the integration contract with our data warehouse—what flows each way, on what cadence—and keep the warehouse out of the platform’s request path.
• Define API contracts together with the front-end lead, ensuring the interface and the data model evolve as one system.
• Direct the reliability, performance, and cost of back-end services, partnering with DevOps on platform-level non-functional requirements.
• Partner with data science to productionize the models and recommendation features built on top of the platform’s data.
• Hire and lead a team of back-end and data engineers, setting a high bar for code quality and CI-enforced testing.
• Support and set standards for agentic coding on your team, backed by real company investment in the tools.
• Partner with product and design on problem definition, scope, and sequencing from the start of each effort.

Ideal Candidate:

• Adaptable, resilient, and open to adjusting scope, responsibilities, and focus as the company grows.
• Proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.
• Highly organized self-starter, able to work independently and under tight deadlines.

Requirements:

• 8+ years in back-end or full-stack engineering, including 2+ years leading a team.
• Experience leading a data model and access patterns for a B2B or enterprise product at meaningful scale, ideally across both a relational and a NoSQL store.
• Track record hiring and growing engineers, and running a technical interview loop from scratch.
• Comfortable directing and reviewing agentic or AI-assisted coding.
• Experience partnering with data science or ML teams to get models into production.
• Fluency defining and maintaining API contracts across a team boundary.
• Comfort with ambiguity and a fast-moving, still-small engineering organization.
• Bonus points for pharma or HCP marketing experience or any complex, regulated marketing data environment.