2 months ago
Base Salary
$200k - $500k/yr
Responsibilities
- Own the architecture of shared backend systems, including core services, data models, APIs, and cross-product infrastructure.
- Define and drive long-term backend architecture strategy across the organization.
- Design systems for scale, reliability, and evolvability and lead major technical decisions and design reviews.
- Identify and reduce architectural debt and lead complex cross-team migrations.
- Establish backend engineering standards, patterns, and best practices across product teams.
- Prototype critical systems, ship production code, and unblock teams on difficult technical problems.
- Mentor senior engineers and raise the technical bar across the engineering organization.
- Partner with engineering and product leadership on build-versus-buy decisions, platform investments, and technical hiring.
Requirements
- At least 8 years of professional backend engineering experience, including 3 or more years at a Senior level or above.
- Deep expertise in distributed systems, service architecture, data modeling, and API design at scale.
- Experience owning architecture across multiple teams or an entire organization.
- Experience leading large, complex production migrations without interrupting business operations.
- Experience using modern AI development tools such as Cursor, Claude Code, or GitHub Copilot.
- Experience mentoring senior engineers and raising the technical bar across an organization.
- Excellent communication skills for explaining complex technical tradeoffs to engineers and leadership.
- Strong technical judgment, ownership, pragmatism, and bias toward shipping.
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k relocation bonus
- $10K housing bonus for living within 0.5 miles of the office
- $1.5K monthly meal stipend
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, dental, and vision insurance
- In-person work five days a week in San Francisco, NYC, or London offices
Categories
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.