Open role · Forward Deployed Engineer · Remote
AI Deployment Lead. No engineering degree required.
You'll work side by side with the teams that use HQ, learn how their business runs, and help them get AI doing real work. Then you stay with them until it feels like second nature.
The job.
Once a company signs on, you're their guide. You kick things off, get to know the team, and stick with them until HQ is part of how they work every day.
- Week 1
Get to know them
Spend time with the team, learn how their work really happens, and find the first thing AI can take off their plate.
- Weeks 1 to 3
Build it together
Set HQ up around them: their knowledge, their tools, and the agents that help. They see it working in the first week.
- Ongoing
Make it stick
Teach the team, notice what's clicking, and keep tuning things until they can't imagine working without it.
- Map how a sales team actually works
- Connect the CRM and Slack to HQ
- Run the kickoff with the CEO
- Turn the Monday report into an agent
- Train a whole team in one afternoon
- Find the workflow nobody owns
- Write the playbook the client keeps
- Clean up three years of shared drives
Who you are.
You like being the person who makes things work. You're curious about how other businesses run, you're comfortable in a room with a client's leadership team, and you get a kick out of watching a team pick up a new way of working.
Most people in this role come from one of three places:
The consultant. You came up at McKinsey, Bain, BCG, Deloitte, Accenture, or a firm like them. You can walk into a client, find the real problem, and run the room, and you'd rather ship the answer than write the deck about it.
The consultant who's built. Most of your career has been in consulting, and along the way you spent time as an FDE, solutions engineer, or implementation lead. You've scoped the work and you've done the work.
The operator. You've done the grind at an early-stage startup, an agency, in ops or implementation, or at your own company. You've set up the systems, cleaned the data, run the onboarding calls, and fixed what broke late at night.
What we expect
- Own your clients from kickoff until they run on HQ by themselves.
- Set HQ up hands-on: their knowledge, tools, workflows, and agents.
- Teach as much as you build. Training is a big part of the job.
- Tell the product team where clients get stuck, and turn what you solve into shared skills.
- Flag problems early and help fix them. Nobody gets in trouble for raising a hand.
You won't stay in one lane.
We move people around on purpose. Client work is home base, and over time you'll spend real stretches in other parts of the business so you understand how all of it fits together. If there's an area you want to learn, tell us and we'll find a way to get you there.
- Client delivery
- Training
- Product
- Sales
- Operations
- Marketing
Your day to day.
No two weeks look the same. A typical one might include:
- A kickoff with a new client's leadership team to learn how their business runs
- A hands-on setup day, connecting their tools and loading their company knowledge into HQ
- A live training session for a team that's just getting started
- Check-ins with clients you're already working with to see what's clicking and what isn't
- Building a new workflow or agent a client asked for
- Joining a sales call to explain what working with us looks like
- Sitting in with the product team to share what clients keep asking for
- Writing up what you learned as a skill so the next client starts further ahead
AI Deployment Lead
Sound like you? Tell us what you've done.
Try HQ first. It's free, and it's what you'll be deploying.
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