Replicant scales your best agents with AI—automating routine calls, improving accuracy, reducing wait times, and giving every customer fast, consistent support. Backed by Norwest.
About the role
We are hiring an Engineering Manager to lead one of our Product Engineering squads: a team of roughly 8 to 15 engineers that takes on a range of projects and products across our platform. You will report directly to the SVP of Engineering, and you will hold full budget and headcount-planning responsibility for your team.
What they're looking for
- You will recognize yourself in Replicant's three core values. Here is how they show up in this role:
- Bread Maker: impact over role, humble and team-first. You contribute wherever the mission needs you, work cleanly across Product, Delivery, and your peers, and follow through so others can plan around you. Confidence without arrogance
- Självdistans (self-distance): ego separated from execution. You give direct, respectful feedback early, and you receive it the same way. You name reality without spin, change your mind when the facts change, and commit once a decision is made
- A people manager and servant leader first. You build trust, grow careers, and get the best out of senior engineers by leading through them, not around them
- Genuinely AI-fluent, and able to show it. You have gone deep on modern AI tools and can walk us through something real you built: what models, what worked, what did not. We expect our managers to lead from the front here
- Technically credible. You reason well about system tradeoffs and stay close enough to the work to earn your engineers' respect, while trusting them to own the details
More about this role
Replicant is building the autonomous contact center: AI that answers every call, decides whether a specific AI or a person is best suited to resolve it, and manages the conversation end to end, getting better with every one. We start with voice, the channel people reach for first and the hardest to automate well, and we have run these agents in production for enterprises since 2020. The bots we deliver are the product, so engineering here sits unusually close to customer outcomes.
Customer service is a nearly trillion-dollar problem that is barely one percent automated and moving fast: the category of the decade, and the question is who leads it. Winning means executing a company's procedures with near-perfect reliability while knowing exactly when to flex, which is why determinism and testability are how we earn trust in production, not relics. Meeting that bar on a complex, AI-heavy platform takes a team that can move quickly without losing rigor.
We are lean by design. A small, senior team does the work of a group several times its size, and every engineer owns multiple initiatives. The engineering organization is about 50 people today and growing, and we hold a high bar as we...
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