Engineering Manager, Coda - Formula Engine

Superhuman Superhuman · Consumer · Hub - San Francisco · Engineering, Product, Design, and Marketing

Engineering Manager to lead the Formula Engine team within Coda, owning the computational backbone that powers millions of distinct user-built applications. This role involves leading a team of 5+ engineers, owning the technical direction of the formula engine (language design, parsing, execution planning, optimization, runtime performance), driving improvements for responsiveness and scale, building evaluation frameworks, and shaping the formula language. The role requires experience in programming language implementation, query optimization, compiler design, or high-performance runtime systems, and shipping/operating systems at scale.

What you'd actually do

  1. Lead and grow a team of 5+ engineers, providing mentorship, career development, and fostering a high-performance engineering culture.
  2. Own the technical direction for the formula engine — from language design and parsing through execution planning, optimization, and runtime performance.
  3. Drive improvements to formula execution that keep millions of user-built applications responsive as document complexity and platform usage scale.
  4. Build and refine evaluation and benchmarking frameworks to measure formula performance, correctness, and reliability across real-world workloads.
  5. Shape the formula language itself — evolving its expressiveness and usability so users can build increasingly powerful applications without hitting walls.

Skills

Required

  • engineering management
  • team leadership
  • mentorship
  • career development
  • programming language implementation
  • query planning
  • query optimization
  • compiler design
  • high-performance runtime systems
  • systems at scale
  • performance engineering
  • profiling
  • benchmarking
  • API design
  • backward compatibility
  • developer experience
  • strategy definition
  • tradeoff analysis
  • clear communication
  • cross-functional influence

Nice to have

  • distributed systems
  • AI productivity platform
  • AI agents

What the JD emphasized

  • 3+ years of engineering management experience leading teams of 5+ engineers
  • deep technical experience in at least one of: programming language implementation, query planning/optimization, compiler design, or high-performance runtime systems
  • shipped and operated systems at scale where correctness and performance are non-negotiable
  • strong instincts for performance engineering
  • managing teams that own foundational infrastructure consumed by many other teams
  • managing ambiguity