The ad says“Demonstrated, hands-on AI fluency: practical experience using modern AI tools in real work, with something you can show”
The ad says“Experience owning team budget and headcount planning”
The ad says“Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure”
The ad says“A track record of hiring, developing, and managing the performance of strong technical talent”
The ad says“A track record of hiring, developing, and managing the performance of strong technical talent”
The ad says“5+ years of experience managing engineers or engineering teams”
The ad says“A track record of hiring, developing, and managing the performance of strong technical talent”
The ad says“Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure”
The ad says“We expect our managers to be outstanding people managers first. You will carry enough technical competency to establish credibility with your engineers and to reason well about tradeoffs, priorities, and risk, while trusting your senior ICs to own the code. Shape a great process, fit the right people to it, then get out of the way so your team can move”
The ad says“Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure”
The ad says“10+ years of experience in a technical field, such as software engineering”
The ad says“Technical depth in system design and tradeoffs, enough to earn credibility with senior engineers”
The ad says“We expect our managers to be outstanding people managers first. You will carry enough technical competency to establish credibility with your engineers and to reason well about tradeoffs, priorities, and risk, while trusting your senior ICs to own the code. Shape a great process, fit the right people to it, then get out of the way so your team can move”
The ad says“Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure”
The ad says“Built or scaled testing and validation for AI or nondeterministic systems”
The ad says“Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure”
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
Your priorities, in order: your people, their growth, the process and norms your team works by, and the delivery that follows from all three. This is a servant-leadership role, not a boss-first one. You are not here to own a team; you are here to unlock one. Replicant has invested in every engineer you will lead, and your job is to help each of them do the best work of their career while making that investment pay off, for them and for the company
We expect our managers to be outstanding people managers first. You will carry enough technical competency to establish credibility with your engineers and to reason well about tradeoffs, priorities, and risk, while trusting your senior ICs to own the code. Shape a great process, fit the right people to it, then get out of the way so your team can move
This is the part we care about most, and the thing that makes the role different from most EM jobs. We are not hiring someone to run their own silo. We are hiring a peer for a tight engineering-management team that makes the decisions for the whole engineering department together
A first-team principle: your first team is the other engineering managers, not only your squad. We solve the department’s challenges together, and we back each other’s teams, covering rituals, 1:1s, and on-call through transitions and leave
We meet several times a week in short, high-intensity working sessions. Cameras on, fully engaged; this is explicitly not a status meeting or a manager vanity meeting. We bias hard toward decisions and action, and we keep a decision journal so calls stick
We disagree and commit. High trust, high candor, direct feedback given early rather than left to fester. Once a decision is made, we all carry it
As a group we own the things that make engineering work here: the hiring bar and interview process; the career ladder, leveling, and competency framework; how the roadmap originates and gets prioritized; quarterly OKRs; testing and validation standards; platform and agent quality; the bot-building and delivery process; developer experience and AI enablement; org design, on-call, and incident culture; and capacity planning. You will have a real voice in all of it
Our platform is broad, and no one person holds all of it. It spans telephony and real-time voice infrastructure; speech recognition and voice models; large language models, model orchestration, and failover across providers; the reasoning runtime that drives each conversation; the bot-building UI, domain language, and conversation-design tooling our teams use to create and tune agents; ML infrastructure and evaluation; and the big-data analytics that tell us how bots perform in production. Expect modern, cloud-native systems and a codebase where AI is part of both the product and how we build it
Raise the bar and build the team. Hire exceptional engineers, grow the ones you have, and make the hard calls quickly when someone is not the right fit. Be a bar-raiser in every loop you run
Set the pace. Create an environment where great engineers want to dig in, because the mission is exciting and their work visibly moves the needle. Push for speed, and challenge the status quo instead of defending how things have always been done
Make your team AI-native. Turn individual AI experimentation into team-level results: better throughput, better quality, faster paths from idea to production. Model it yourself
Own outcomes, not activity. Drive predictable, high-quality delivery of the work that matters most to customers, and stand behind your team’s timelines
Shape the solution, not just the build. Your team owns how the product solves the customer’s problem, not only how it is coded. Keep them close to the customer and to the bots you ship
️ Invest in engineering excellence. Testing and validation that give real confidence in production, a fast and pleasant developer experience, and quality that customers feel
Benefits
Company Equity: We view our employees as the true owners of Replicant and offer company equity.
Health insurance: We offer a competitive package with health, dental, eye care, and retirement benefits.
Remote-friendly: From the Bay to New Brunswick—we have employees across the world, so you can work wherever works for you!
Frequent offsites: We take team-building seriously and love working side by side.
Flexible vacation: Take a break when you need it so you can come back refreshed and ready.
Sabbatical program: After you’ve worked at Replicant for 5 years, you are eligible to take a sabbatical for up to five weeks.
Equipment stipend: All employees are set up with the essential equipment, but if you have special requests, you’re provided a stipend to cover these costs.
Wellness stipend: We want employees to feel empowered to manage your fitness, health, and mental wellbeing so we offer a yearly wellness stipend.
Preferred experience
You will recognize yourself in Replicant’s three core values. Here is how they show up in this role:
Blade Runner: ownership, urgency, and calculated risk. You take responsibility for outcomes and mistakes alike, move before you have perfect clarity, and prefer action over process. You care about the result far more than the ritual, and you escalate early when something is not working
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
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
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
Customer-obsessed. You keep the team anchored to real customer value and close the loop after shipping
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
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
A track record of hiring, developing, and managing the performance of strong technical talent
Demonstrated, hands-on AI fluency: practical experience using modern AI tools in real work, with something you can show
A history of delivering software predictably with a team
Experience owning team budget and headcount planning
Technical depth in system design and tradeoffs, enough to earn credibility with senior engineers
10+ years of experience in a technical field, such as software engineering
5+ years of experience managing engineers or engineering teams
Experience partnering closely with Product and other cross-functional teams
Experience in conversational AI, voice or telephony, ML systems, or real-time infrastructure
Built or scaled testing and validation for AI or nondeterministic systems
Comfort in a lean, fast-moving, remote startup where priorities are ambitious and the bar is high
