Engineering Manager

Engineering Manager

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.