Conrad Davis Jr.

Engineering leader. I build teams and ship AI products at scale.

Resume (PDF)LinkedIn (opens in a new tab)Email

  • AILeadership

    GovSpend

    Grew engineering from 2 to 13 and launched six AI products; customers named the four primary ones as deciding factors in $10M+ of new sales and renewals.

    Open case study
  • AIProject

    Hands-on: AI Chief of Staff

    What I build with my own hands - an agent that runs incident response end to end.

    Open case study
  • UIRole

    Google Play

    Change the Game. My animation framework took it from freezing phones to 60 FPS and unblocked launch.

    Open case study
  • UIBackendRole

Engineering leader. I build teams and ship AI products at scale.

  • 2 → 13engineers across 4 product tracks
  • $10M+in new sales and renewals customers credited to AI products my teams shipped
  • 22% → 96%sprint commitment completion in five months
  • 3promotions: 2 engineers to Staff, 1 to engineering manager

Experience

  1. GovSpend · Government procurement intelligence SaaS

    • Director of Software EngineeringJan 2026 - Jul 2026
    • Senior Engineering ManagerMar 2025 - Jan 2026
    • Engineering Manager, Web ApplicationJan 2024 - Mar 2025
  2. Lattice · HR and performance management SaaS

    • Engineering ManagerMay 2023 - Nov 2023
    • Technical Lead / Staff EngineerFeb 2023 - Apr 2023
  3. Little Cinema Digital · Interactive streaming platform

    • Tech Lead (Contract)Oct 2021 - Jan 2023
  4. Izllo · Marketplace startup

    • FounderJun 2020 - Jun 2022
  5. Google

    • Web EngineerSep 2017 - Sep 2019

Earlier: AKQA (Audi USA), 2015 - 2017 · The Barbarian Group (Samsung US), 2015

How can I make myself replaceable?

My management philosophy comes down to one question I ask myself: how can I make myself replaceable? People grow most when they have clarity on what success looks like, the autonomy and trust to find their own way through, and consistent, pointed feedback along the way. My engineers would describe my style as collaborative, structured, trusting and autonomous. I am a hands-on coach early on, then I deliberately step back so people can grow into ownership.

Four tech leads I coached now own their roadmaps and operate without me in the room. At GovSpend I promoted two engineers to Staff and one to engineering manager. That is the measure I actually care about.

The hardest part of working this way is the discipline to refrain from stepping in, especially when you can see something about to go wrong and you know exactly how to fix it. Letting someone experience it and then coaching them through the reflection is almost always more effective than solving it for them. The risk is stepping back too early, before somebody is ready, and I guard against that by being explicit about what success looks like and staying closely observant at the start.

When somebody wants a decision from me, I ask for four things: the problem, the options they considered, the tradeoffs, and their recommendation. I call it the Decision Stack. People stop bringing me problems and start bringing me their call. They own the decision, and I weigh in if I see a risk they missed.

Telling whether a team is actually succeeding comes down to four things, and they build on each other. Clarity: everyone individually understands the why behind the mission. Metrics: measuring cause and effect, so we understand our impact and can realign when we need to. Synergy and ownership: an environment where everyone feels responsible for the outcome, with no egos and no gatekeeping, just a shared urgency to succeed together. And delivery: a target date is the focal point that closes the loop, because knowing the when informs both the strategy and the urgency.

Once a team has clarity, metrics and ownership, I rarely have to chase the date. They hit it on their own.

I evaluate engineers on two pillars. Impact, which is reliability, performance and scalability. And communication and leadership, which is alignment, clarity and knowledge-sharing. At the higher levels I expect engineers to design systems that other teams build on. I wrote these into a career matrix with four levels: Associate, Engineer, Senior and Staff. Using AI well is part of what I expect at every level.

On team structure, I aim for roughly thirty percent senior, forty percent mid and thirty percent junior. It creates growth paths without sacrificing delivery on complex work. I keep a primary and a secondary on every project so no single person is a point of failure. I change the structure as the business changes, and I keep each engineer's growth in mind when I do.

Across a larger org, I made RFCs mandatory for significant work and anchor my reviews on production risk, scale and maintainability: what happens if this fails, how do we mitigate it, what will this cost in production? I lean on the experts on my team. My job is to set things up so the right decisions get made, even when I am not in the room.

End to end

  1. DataIngestion, pipelines, model behavior and cost
  2. ServicesAPIs, cloud infrastructure, reliability and scale
  3. InterfaceDesign systems, performance budgets, motion, accessibility

Hiring an engineering leader? Let's talk. I am open to Engineering Manager, Senior Engineering Manager and Director roles. Email is the most direct, my resume is a PDF you can download, and you can also find me on LinkedIn or GitHub.