01 · Northwind / Careers
Join the team
We’re 38 people across North America, and we measure our work the way clients do: whether the system is still running six months after launch.
4
Open roles
100%
Remote
3 wks
Interview to offer
02 · Why here
Actually true, not recruiting copy
01
You ship to production
Every engagement ends with a live system and a client operating it, not a proof of concept that quietly dies after the readout.
02
You talk to the client
Engineers sit in workflow-mapping sessions and evaluation reviews directly. The distance between “build it” and “why it matters” is short.
How we work
Opinionated about the work,
quiet about the rest.
We’d rather ship something narrow and correct than broad and shaky.
Engagements are staffed in pods of two to four people who stay with a client from scoping through handoff. We write things down: runbooks, evaluation criteria, decision logs. Async by default; meetings are for decisions, not status updates.
Life at Northwind
Toronto · Chicago · Denver · San Francisco
We meet in person at kickoff, at launch and twice a year as a team. The rest happens where you do your best work.
Weekly eval review
Scoping a new engagement
Chicago, before the team arrives
03 · Open roles
Remote · North America
01
Senior Applied AI Engineer
Build agents, RAG systems and document pipelines directly with clients, from architecture through production deployment.
$175k – $215k
Full time
Equity
What you’ll do
Design and ship agent and retrieval systems against real client workflows
Own the evaluation harness for the systems you build
Run shadow-mode rollouts and the first weeks of production
Sit in workflow walkthroughs with the people who do the work
You probably have
5+ years shipping production software, 2+ with LLM or ML systems
Strong Python; comfortable with TypeScript
You have debugged a system at 2am and written the runbook after
02
MLOps Engineer
Own the pipelines, feature stores and monitoring that keep client models accurate long after launch.
$160k – $195k
Full time
Equity
What you’ll do
Build data pipelines with lineage clients can audit
Set up drift monitoring, alerting and retraining triggers
Make rollback a five-minute operation, and prove it
Write the runbooks client teams inherit
You probably have
4+ years in data or platform engineering
Experience with at least one major cloud and infrastructure as code
A healthy suspicion of anything that retrains silently
03
Delivery Lead
Run client engagements end to end: scoping, workflow mapping and keeping a build on schedule without cutting the evaluation work.
$150k – $185k
Full time
Equity
What you’ll do
Scope readiness assessments and write fixed-fee statements of work
Run weekly demos and gate reviews with client sponsors
Protect the pod’s time and the evaluation plan
Own the handoff and the client relationship after launch
You probably have
6+ years delivering technical projects with external clients
Enough engineering depth to push back on an estimate
Calm in steering committees
04
Responsible AI Analyst
Build governance playbooks and run risk reviews across engagements, working directly with client legal and compliance teams.
$120k – $150k
Full time
Equity
What you’ll do
Run risk reviews during Design, not after launch
Write governance playbooks a clinician or partner can read in ten minutes
Set up access logging and quarterly review cadences
Track regulatory change across financial services and healthcare
You probably have
3+ years in AI governance, model risk or compliance
Able to read an architecture diagram and ask the right question
Clear, plain writing
04 · Distributed, on purpose
The practical bits
10–15
Core overlap hours, Eastern
2×
Team gatherings a year, in person
$3k
Yearly learning & conference budget
1 day
Every other week for tooling, research or writing
20 wks
Paid parental leave, every parent
0
Relocation required
1
Client at a time, most of the time
Equity
For every full-time role
05 · How we hire
About three weeks, four conversations
i
Week 1 · 30 min
A conversation with the hiring lead about what you’ve built, what you want next and what the role really involves. You ask as many questions as we do.
ii
Week 1–2 · 3 hours, paid
A real, anonymised problem from a past engagement, worked through with two of the people you’d work with. We pay for your time.
iii
Week 2 · 60 min
How you’d take something from notebook to production: evaluation, monitoring, failure modes, handoff. Whiteboard optional.
iv
Week 3 · 45 min
A conversation with a founder about how we work and disagree. Decisions within three working days, with feedback either way.
06 · Questions
About working here
01
Where is the team based?
Remote across North America, with overlapping hours between 10:00 and 15:00 Eastern. We meet in person twice a year.
02
What does the interview process look like?
03
Do you sponsor visas?
04
How do engineers split their time?
Don’t see your role?
Tell us anyway.
We hire for the gap in the team as often as we hire against an open posting.