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Cohere · NorthOriginal job post

Engineering Manager, North — built to ship and lead.

For a decade Fauzul has led engineering teams while staying hands-on — growing to 22 engineers while serving clients across five time zones, writing the code, setting the bar, and shipping production software into regulated industries. He's the player-coach the North platform team is looking for: someone who can manage engineers, own features end-to-end from concept through CI/CD, flex across the full stack, and bring a customer-first product mindset that treats delivery speed and quality as the same thing. North — a secure, sovereign AI workspace connecting agents to enterprise workflows — is exactly the context where his compliance depth (HIPAA at , GDPR/VAT at , OIDC/RBAC at ), agentic AI production builds, and decade of enterprise delivery compound the most.

01 / In production

Player-coach, already operating at this scope

Engineering Manager is the role I've held since day one at ELO — leading a team of 22, setting the technical bar, writing the critical code, and shipping production software across regulated industries. Now I want to do exactly that for a platform I believe in.
Frontier AI, shipped

A decade of team leadership + production-grade AI

At , Fauzul built and led a distributed engineering team from 0 to 22 engineers while staying hands-on throughout — delivering for clients across five time zones, architecting, reviewing PRs, and shipping alongside the team. Delivery covered five verticals, multiple continents, and the compliance surfaces North's customers demand most: HIPAA ( EHR, 2,212 new patients · 9,650 schedules), GDPR/VAT (, acquired by Loopcloud 2026), federated OIDC + RBAC (). Now he's bringing agentic AI into that stack: a Claude-powered CMS running in a client's production stack, plus , , and using multi-agent reasoning with A2A, MCP, Google ADK, and n8n.

: 0→22 distributed team across London, Zurich, Oslo, Dubai, Florida, Quebec — player-coach throughout.

: HIPAA-compliant EHR pipeline, 2,212 new patients and 9,650 schedules managed in 2026.

: acquired by Loopcloud 2026 — GDPR/VAT-compliant marketplace, proof of outcome-first delivery.

Claude CMS in production: natural-language intent → Claude-authored PR → automated deploy for .

Agentic builds: · · — multi-agent reasoning with A2A, MCP, Google ADK, ReAct, n8n.

01

Team leadership — 0→22 engineers, clients across 5 time zones

Hired, onboarded, coached, and shipped alongside 22 engineers at ELO. Alumni now lead at orgs in Norway (2), Canada, and Germany.

02

Production-grade compliance — HIPAA · GDPR · OIDC/RBAC

Architected the trust surfaces that North's regulated enterprise customers require: EKAGRA, Jamahook, Anygum.

03

Agentic AI already in production

Claude-powered CMS for Global Jute Trading; TagRamp, NewScriber, VisaPros using A2A, MCP, Google ADK, ReAct, n8n orchestration.

02 / Role fit

Point by point

The role is Engineering Manager for North — Cohere's AI workspace platform — leading a team while staying a hands-on technical contributor. Here is how a decade of team leadership, end-to-end delivery, and production-grade AI engineering maps onto each criterion. Pick a topic to explore the evidence.

Strong fit

Experience managing engineering teams and a proven track record of delivering high-quality software.

Evidence

Built and led a distributed team of 22 at over a decade — hiring, onboarding, running 1:1s, setting technical bar, and shipping production software across London, Zurich, Oslo, Dubai, Florida, and Quebec. alumni now lead at organisations in Norway (2), Canada, and Germany. Track record is cross-vertical (healthtech, fintech, HR-tech, hospitality) and cross-stage (0→1 through scaled production for regulatory-grade clients).

Strong fit

Have built, shipped & maintained production-ready applications.

Evidence

Shipped production software continuously across five verticals and multiple continents for a decade — from the HIPAA-compliant EHR platform (2,212 new patients · 9,650 schedules in 2026) to (acquired by Loopcloud, 2026) to a Claude-powered natural-language CMS running in production for . Each one maintained, observable, and compliance-auditable from launch.

Strong fit

Strong coding abilities and comfortable working across the stack.

Evidence

Started as a UX Engineer — still ships polished frontends (React, Next.js, Angular, Tailwind) alongside Go and Node/TypeScript backends, Postgres schemas, and Cloud Run / serverless infra. Full-stack is not a claim, it's the job description he's held since 2015. Currently building with TypeScript / React / Node, Go, and Python for AI and data work.

Strong fit

Customer-focused, product-minded approach to building software, prioritising outcomes and impact.

Evidence

Ran four pop-up test events before committing capital to a restaurant brand; scoped and validated three agentic AI products with real users before building. Enterprise delivery at was always outcome-first: translates fuzzy briefs into user stories, then success criteria, before writing a line of code. Treats the customer's business outcome as the acceptance test.

Strong fit

Thrive in fast-paced environments and stay focused as priorities and objectives evolve.

Evidence

Built and pivoted products across five verticals simultaneously as CIO/co-founder while keeping client SLAs and a team of 22 aligned. Ships agentic 0→1 builds (, , ) while maintaining production obligations to existing clients. Context-switching under real pressure is the daily reality of a decade in enterprise consulting.

Strong fit

Lead and manage engineers, fostering a collaborative and high-performing environment.

Evidence

Grew 's engineering function from 0 to 22 engineers, with delivery spanning five client time zones. Ran structured 1:1s, career frameworks, and code-review culture that produced alumni who now lead engineering orgs in Norway, Canada, and Germany. Coached two alumni into their next senior roles. Delivered across GDPR, HIPAA, and WCAG 2 compliance for five client organisations — high-bar environments where the team's craft directly affects patient safety and legal exposure.

Strong fit

Design, build, ship, and maintain scalable features for North across the full lifecycle — from conceptualisation through production.

Evidence

Every engagement ran this arc: ambiguous brief → scoped story → architected solution → CI/CD to production → post-launch maintenance. Not as a PM handing off to engineers, but as the technical lead writing and reviewing code throughout. North is a workspace platform; the architectural patterns (multi-tenant isolation, RBAC, real-time sync, enterprise auth) are ones Fauzul has shipped into production repeatedly.

Adaptable

Hands-on production stack: Python, TypeScript with React, Postgres, deployed on Kubernetes.

Evidence

TypeScript / React and Postgres are primary production stack. Python is daily in AI and data work (n8n nodes, agentic pipelines, Kaggle's Python for Data Science) but not the primary service language. Kubernetes is a deployment target he knows conceptually (Cloud Run, containerised workloads) but hasn't operated directly as an infra owner.

Adaptation

The North stack is TypeScript-first on the frontend — directly in his wheelhouse. Production Python and Kubernetes operator depth are the two ramps: both are weeks, not months, given the same typed-contracts, CI-gates, and observability discipline he already applies in Go and TypeScript. He'd close them fastest by owning North features from day one and carrying his existing engineering habits across.

Ask Fauzul's AI
03 / Signal

Strengths & honest gaps

Proven player-coach — leads teams and writes the code

Grew to 22 engineers over a decade while staying hands-on throughout: set the architecture, wrote the critical paths, reviewed every PR, and shipped alongside the team. Fauzul doesn't stop coding when he manages — that's the Engineering Manager, North profile: someone who can lead and still flex into whatever technical area the sprint demands.

End-to-end ownership, from blank canvas to production

's model was always full-scope delivery: empty brief → scoped story → CI/CD to production → post-launch maintenance, across health-tech, fintech, HR-tech, and hospitality. That ownership mindset — no handoff, no excuses, no 'someone else owns the infra' — is exactly what North's feature delivery model requires.

Compliance and enterprise trust already baked in

Designed and shipped HIPAA ( EHR), GDPR + VAT (), and federated OIDC with instance-level RBAC () as first-class product surfaces — not as back-office tax. North's enterprise customers in finance, healthcare, and telecom need a platform team that already knows how to build trust with sensitive data. That's exactly the scar tissue Fauzul brings.

Agentic AI already in production

A Claude-powered natural-language CMS running in a client's production stack, plus , , and using multi-agent reasoning (A2A, MCP, Google ADK, ReAct, n8n). North is Cohere's AI workspace platform connecting agents to enterprise workflows — building and managing a team doing exactly this is the natural next chapter.

Models the discipline he asks of a team

A 913-day unbroken French streak and a habit of learning in public (shipping agentic builds in hackathons, open-sourcing the work) — the same consistency, curiosity, and bar-setting an Engineering Manager has to model for the team every day. Cautious enough to probe risk early and bake in tests and compliance before they get expensive; curious enough to live on the frontier.

Closing the gaps

Kubernetes as a primary infra-ownership layer.

2–4 weeks

Fauzul has deployed containerised workloads to Cloud Run and operated serverless functions at scale — the orchestration model is familiar. Moving into K8s as an operator (deployments, namespaces, service accounts, HPA) is a deliberate ramp he'd take in the first sprint cycle by owning a North service end-to-end, not by studying in isolation.

Production-grade Python as the primary service language.

2–4 weeks

Python is where he already does AI and data work. The engineering discipline the role requires — typed contracts, CI gates, test coverage, structured observability — is language-agnostic and exactly how he ships in TypeScript and Go. He'd port those habits into production Python by building real North features from week one.

Ask Fauzul's AI
04 / Hard questions

Candid answers

Candid answers — why a founder-operator wants the EM seat over a pure IC role, the honest read on Python and Kubernetes depth, how he balances velocity with quality, and how he builds psychological safety in distributed teams. Ask the agent anything else.

Q01

You're a co-founder and CIO — why step back into an Engineering Manager role?

I'm not stepping back — I'm stepping toward the work I find most energising. As CIO, my best days are when I'm in the room with a customer, translating an ambiguous problem into a product decision, then leading the team to ship it. The agency overhead — business development, billing, vendor management — has grown around that core. The North EM role is the core, full-time, with frontier AI infrastructure behind it. That's not a step back; it's focus.

Q02

The stack is Python, TypeScript, React, Postgres, on Kubernetes. You've listed Python and Kubernetes as gaps. How fast can you actually be effective?

On the TypeScript / React / Postgres side I'm ready from day one — that's my primary production stack. For Python and Kubernetes, I won't oversell the depth I don't have, but I can be specific about what I do have: Python is where I already do agentic AI and data work; Kubernetes is a deployment target I understand conceptually from Cloud Run and containerised workloads. The engineering discipline the role requires — typed contracts, CI gates, observability, testability — is language and runtime agnostic. I close both ramps fastest by owning real North services from day one, not by studying in isolation. I'd be at productive depth within two to four weeks.

Q03

How do you balance being hands-on technical with the leadership overhead of managing a team?

I've held both roles simultaneously for a decade, so the rhythm is natural: I use management overhead as a forcing function to be a better senior engineer, not a reason to go fully IC. The lead by example discipline — reviewing PRs carefully, pairing on hard problems, setting architectural bar in writing — is what builds the team's craft over time. I protect the ICs from context-switching; I take the coordination cost on myself. The player-coach model only works if the coach still plays, and I do.

Q04

What's your approach to building psychological safety and high performance in a team simultaneously?

They're not in tension. Psychological safety is the mechanism by which the team surfaces problems early — and early is when problems are cheapest to fix. I run 1:1s focused on blockers and growth, not status. I model honesty about my own gaps (the Python / Kubernetes ramp on this application, for instance), which gives the team permission to be honest about theirs. The high-performance bar comes from clarity: clear success criteria, clear code standards, clear architectural principles in writing. People thrive when they know what 'done well' looks like.

Q05

Why Cohere specifically, given there are other frontier AI companies hiring EMs?

North. It's the most serious enterprise deployment platform in the field — sovereign, secure, privacy-first, designed for the regulated industries where real enterprise adoption happens. My decade of scar tissue is in exactly those industries: HIPAA at , GDPR at , OIDC/RBAC at . The North EM role is a chance to lead a team building infrastructure that enterprise customers can actually trust with sensitive data, powered by frontier models. That intersection of technical depth, compliance-as-a-product-surface, and AI is where my work is most compounded.

Q06

London / Europe / Toronto — where are you based and what's the relocation story?

I want to relocate — this isn't 'open to it', it's a deliberate next chapter. Toronto is always my first choice: it's Cohere's co-HQ and the centre of the North team's gravity, I've already lived six months in and around the city, and I've built real professional and personal ties with clients there and in Montreal — so being there puts me in the same building as the people I'd manage and on the ground where I already have roots. London is a strong second: my sister lives there, my best friend is a short hop away in Norway, and it's Cohere's European hub — which would put me closer to the regulated enterprise customers North exists to serve. Europe more broadly (Paris, Dublin, Amsterdam) works too: Cohere has offices and customers across the continent, and being in-timezone with them closes the gap between the team and the field. I process the visa (Canadian work permit, or UK Skilled Worker / EU Blue Card) in parallel with any offer and commit to local presence from week one. See my full relocation intent for Toronto and London.

Ask Fauzul's AI
05 / Track record

The stack & the builds

The builds that prove the player-coach claim — North-relevant: agentic AI in production, full-stack delivery across frontends and backends, and the compliance architectures that make enterprise customers trust a platform with sensitive data. Explore any topic below.

Core skills
Management
High-agency ownership · CSPO · SCRUM · Linear · Jira · 1-on-1 coaching · Stakeholder mgmt · Remote-work lead · GDPR / HIPAA compliance · HR & hiring
Player-Coach Stack
TypeScript / Node.js · React / Next.js · Go · Python (AI & data) · Postgres · Docker & serverless · GitHub Actions (CI/CD) · Kubernetes (familiarity)
Agentic AI & LLM
Claude in production · Multi-step agents (ReAct / Plan-Execute) · A2A & MCP orchestration · n8n agentic workflows · RAG & retrieval · LLM integration & evals
Enterprise Auth & Compliance
OAuth2 · OIDC · RBAC · JWT · Auth0 · Multi-tenancy · Magic-link · Passport · HIPAA · GDPR / VAT · WCAG 2 · Auditability
Client & Delivery
Client communication · Requirements gathering · Specifications management · Enterprise problem identification · Solution architecture · Technical scoping · Delivery management · Stakeholder alignment · Executive communication
Frontend
React · Angular · Next.js · Astro · Redux · RxJS · Tailwind · Web Audio · WebGPU · Storybook · TanStack Query · TanStack Start
Explore all skills →
Analogous builds
Global Jute Trading

Editorial export site for Global Jute Trading Ltd — a Dhaka-based sourcing & exporting house with 26 years as a company and 35 years of jute trading under its principals. Built to support their push into deeper international markets, with a particular focus on Canada.

NewScriber

Agentic news scraper & editorial audio briefing network. Scrapes tech and business news via Firecrawl, curates & scripts dual-host dialogues with Kimi via OpenRouter, and renders high-fidelity multilingual voices via Gemini TTS on Azure.

TagRamp

A new LinkedIn for orgs that actually deal. TagRamp connects organizations from goals to meaningful business deals through AI-mediated intros. Built solo during the World's Largest Hackathon (May 2025) by Bolt.new and submitted to Y Combinator; now scaling with active enterprise pilots and CXO-level partnership discussions.

DotaBD

Bangladesh Dota 2 community hub — a mission to elevate national esports from a fragmented hobby into a structured, sustainable ecosystem. DotaBD consolidates a splintered scene under one canonical roof, tracking 1,207 active players and 47,091 matches. It hosts the first nationwide league via the platform, with full organization, league, and teams registration including local payments, approval, sponsors, and a caster/content creator economy in the loop.

EKAGRA Health

Strategic health-tech partnership and equity investment in Bangladesh's most advanced clinical practice for wound care, diabetes, and nephrology. Spearheaded high-utility, HIPAA-compliant EHR clinical dashboards and scaled digital patient advocacy.

Anygum

Anygum is a working marketplace-style platform where anyone can host their own API and builders can compose bespoke apps that pull services from multiple vendors. Identity runs through Cloudsight — custom auth on Auth0 — so provider and consumer context share single sign-on, RBAC and org controls, multi-instance of the same app for different teams, easy telemetry, and a single payment funnel for consumption. Ideation started as an internal auth problem for SaaS distribution; it was spun out as Anygum. Elobooks.net uses it. Distribution limited wider market reach; the product itself works.

Jamahook

Jamahook AG is a Zürich-based music-tech company and a direct ELO client for over 6 years — the world's first AI-powered music matching ecosystem, launched in October 2020, with a desktop agent, VST/AU/AAX plugins, and a web portal. Producers find complementary material through acoustic and psychoacoustic audio annotation and analysis, on an algorithm developed in collaboration with Fraunhofer IDMT — the institute behind MP3. I created the first web product and admin panel from a blank canvas, then stood up the full-stack team (React + Node/NestJS on an NX monorepo) and stayed hands-on through the first market release. The dedicated team I helped build still ships modern integrations; since 2023 my seat has been primarily client and business relationship. Loopcloud acquired Jamahook in 2026, and the matching engine now powers Loopcloud's AI sound matching.

See all projects →
Ask Fauzul's AI

Ready to put AI to work?

I want to relocate — Toronto is always my first choice, London a strong second, and I'm open across Europe too. Toronto is Cohere's co-HQ: I've lived six months in and around the city and built real professional and personal ties with clients there and in Montreal. London is a natural European hub: my sister lives there and my best friend is a short hop away in Norway. Either base puts me inside Cohere's orbit and closes the gap between the team and the regulated enterprise customers North serves — on local hours, on-site, from day one.