Engineering Manager

Revenue.io

Los Angeles (CA)

Hybrid

USD 185,000 - 215,000

Full time

14 days+

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Benefits offered by this job

Paid parental leave
Flexible time off
Competitive salary
Multiple medical plans
Work from home flexibility

Job summary

Revenue.io is seeking an Engineering Manager in Los Angeles to lead the engineering team, ensuring high technical standards and coaching engineers. This hybrid role emphasizes hands-on building alongside management responsibilities. Candidates should have 4+ years of people management experience, hands-on engineering skills, and experience with AI-augmented workflows. A competitive salary ranging from $185,000 to $215,000 USD is offered, along with flexible benefits including paid parental leave and multiple medical plans.

Qualifications

  • 4+ years of people management experience, including hiring and driving performance.
  • Recent hands-on engineering experience.
  • Fluency with AI-augmented development workflows.

Responsibilities

  • Ship production code across the stack.
  • Raise execution standards across planning and delivery.
  • Coach and develop engineers through direct feedback.

Skills

People management
Hands-on engineering experience
AI-augmented development workflows
Code quality
Direct communication

Job description

Our Core Values
  • We Learn Continuously: We treat every call, commit, and customer moment as a feedback loop. Curiosity is our unfair advantage.
  • We are Human-Centered: AI serves people. We design for trust, clarity, and momentum in real conversations.
  • We Look in the Mirror: When something breaks, we fix it at the root and share what we learned. Accountability travels faster than blame.
  • We Dream Big: We set goals that feel a little uncomfortable and then make them practical. Ambition plus discipline wins.
  • We Champion Every Voice: The best insight can come from the quietest person in the room. Inclusion is how we find it.
The role

We're looking for an Engineering Manager to lead the Revenue pod, the team responsible for core product surfaces including conversation intelligence, Moments real‑time coaching, meeting capture, and supporting services.

This role reports directly to the Chief Engineering & AI Officer and plays a critical role to the EPD org at large. We are looking for a bar raiser— someone who leads from the front, raises the quality of technical decisions, sharpens execution, and sets a higher standard for how the pod builds.

This is a player‑coach builder role with an expected mix of roughly 70% hands‑on building and 30% management.

What you'll do

Build:

  • Ship production code across the stack. You do not need to be a specialist in every layer, but you should be comfortable contributing wherever the work demands it.
  • Set the bar for AI‑native engineering across the pod. Effectively leverage AI tools and workflows deeply in your own work and establish a higher standard for speed, depth, quality, and leverage than the team has today.
  • Raise the technical bar through strong design instincts, substantive code review, and sound architectural judgment.
  • Make pragmatic technical decisions that reduce rework, improve maintainability, and keep the team moving with high quality.

Lead:

  • Raise the pod's execution standard across planning, work breakdown, prioritization, unblocking, and delivery.
  • Partner closely with product on roadmap planning, execution, tradeoffs, and sequencing, bringing clarity and engineering judgment rather than passive delivery management.
  • Coach and develop engineers through direct, timely, actionable feedback against a clear performance bar.
  • Build a high‑clarity, high‑accountability team environment where people know what excellence looks like, where they stand, and what needs to improve.
What success looks like
  • The team ships high‑quality work more consistently and with greater rigor.
  • Engineering judgment improves across the pod e.g., better decisions, stronger reviews, less avoidable rework.
  • The team operates with more clarity, ownership, urgency, and follow‑through.
  • AI becomes a real force multiplier in how the team builds, not a side tool or sporadic experiment.
  • The pod becomes more trusted by product, design, and engineering peers.
  • The overall standard of the team is visibly higher six months from now because you joined.
What we're looking for
  • 4+ years of people management experience, including hiring and driving performance.
  • Recent hands‑on engineering experience.
  • A track record of raising engineering standards across code quality, review rigor, testing discipline, and architecture.
  • Fluency with AI‑augmented development workflows. You use tools like Claude Code, Codex, Cursor, or similar as part of your real day‑to‑day workflow.
  • High standards for code quality, product craft, and execution.
  • Clear, direct communication. You give feedback promptly, set a high bar, and follow through.
  • The ability to inherit a team, quickly form an accurate read, and raise the standard without creating unnecessary drag.
Bonus
  • Experience in a B2B SaaS product environment.
  • Familiarity with Salesforce‑integrated products.

Hybrid in LA is expected to be in the office 1x a week on Tuesday.

Compensation

On target earnings split will be determined at time of offer. Additional incentive compensation may be offered as stock options and company benefits. Actual compensation within the range will be determined on your skills, experience, qualification, location, and market conditions.

Salary Range $185,000—$215,000 USD

Company Benefits Include
  • Paid parental leave (after 1 year of service)
  • Flexible time off (US only)
  • Competitive salary and stock options
  • Multiple medical plans to choose from including HSA and FSA
  • Work from home flexibility
Anti‑Discrimination

We consider applicants without regards to race, color, national origin, sex, age, religion, sexual orientation, gender identity, veteran status, marital status, physical or mental disability, or other protected classes under all local, state, and federal laws and ordinances (AA/EOE/W/M/Vet/Disabled).

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