[Hiring] Lead Back End Architect/Engineer @Real Chemistry

Role Description

We are hiring a Lead Engineer, Back End to drive the services and data model that power the platform. 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. The team is small and we're building a lot, so there are a lot of opportunities for ownership and influence.

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, so the interface and the data model evolve as one system.
• Direct the reliability, performance, and cost of back-end services, partnering with DevOps on the platform-level non-functional requirements that take both teams' input.
• 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, not just tolerance for their use.
• Partner with product and design on problem definition, scope, and sequencing from the start of each effort.

This position is a perfect fit for you if:

• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow.
• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.
• You are a highly organized self-starter, able to work independently and under tight deadlines.

Qualifications

• 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, with the judgment to know what to hold to human review regardless of how the code was produced.
• 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 org.
• Bonus points for pharma or HCP marketing experience — or any complex, regulated marketing data environment (ad tech, financial services marketing, health systems).

Requirements

• Pay Range: $175,000-$200,000
• This is the pay range the Company believes it will pay for this position at the time of this posting.
• Compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location.
• The Company reserves the right to modify this pay range at any time.

Benefits

• Comprehensive benefit program and perks, tailored to your region.
• Offices in key markets with free snacks.
• Generous holiday and paid time off.
• Options for private medical, dental, and vision plans.
• Support in saving for the future.
• Mental wellness coaching and support.
• Access to more than 13,000 online classes with LinkedIn Learning.