The hardest AI problem isn't the model — it's the context
Hi [Name],
I came across your work on [distributed systems / data pipelines / specific project] and wanted to reach out.
Here's a stat that reframes the AI conversation: 95% of enterprise AI pilots deliver zero ROI (MIT, 2025). Not because the models are bad — but because they don't understand the business they're operating in.
At Atlan, we're building the context layer for AI — the infrastructure that gives AI an organization's business meaning, rules, and relationships so it can actually reason correctly. Think knowledge graphs at scale, real-time context retrieval APIs, and 80+ system integrations — serving companies like Nasdaq, Mastercard, and GM.
If you're looking for hard infrastructure problems with real-world impact (not ad-click optimisation), I'd love to chat.
15 mins this week?
[Your name]
Frontend / Full-Stack EngineerLinkedIn / Email
Enterprise infrastructure that actually needs great UX
Hi [Name],
Your work on [specific project/company] caught my eye — especially [specific detail].
Most enterprise infra companies treat the frontend as an afterthought. Atlan is the opposite. We're building the context layer for AI — the system that helps companies' AI tools understand their business — and the interface has to make incredibly complex data relationships feel intuitive for non-technical domain experts.
Think: interactive knowledge graphs, collaborative workflows, and real-time context exploration across millions of data assets. Our customers include Nasdaq, HubSpot, and Unilever.
If you want to build products where frontend craft genuinely matters in enterprise — let's talk.
[Your name]
Product Management
Product ManagerLinkedIn / Email
Define a product category, not just a feature
Hi [Name],
I noticed your track record at [Company] — particularly [specific product achievement].
Quick question: how often do you get to define an entirely new product category?
Atlan is building the context layer for enterprise AI — the infrastructure that gives AI systems a company's business meaning so they can reason correctly. Gartner named us a Leader. Twice. Our customers include Nasdaq, Mastercard, and General Motors.
The product challenge here is genuinely novel: no established playbook, deeply technical users mixed with business stakeholders, and the need to make knowledge graphs and metadata feel like second nature.
If you're drawn to zero-to-one product thinking at scale, I'd love to chat.
[Your name]
Design
Product Designer / UXLinkedIn / Email
Making the most complex data in the world feel simple
Hi [Name],
I was impressed by your work on [specific product/portfolio piece].
What happens when a company has 6 million data assets and needs every AI tool to understand what they all mean? That's the design challenge at Atlan.
We're building the context layer for enterprise AI — turning the most complex data relationships into experiences that domain experts actually want to use. This isn't dashboard design. This is defining how humans and AI collaborate — a genuinely new design space with no established patterns.
Gartner Leader. Customers include Nasdaq, HubSpot, and Unilever.
Interested in learning more?
[Your name]
Sales
Account Executive / Sales LeaderLinkedIn / Email
Sell the future of AI — not another SaaS tool
Hi [Name],
Your background in [enterprise SaaS / data / AI space] stood out — especially your work at [Company].
A $2T+ problem is emerging: companies are spending billions on AI that doesn't work because it doesn't understand their business. Atlan is the company solving that.
We're the context layer for AI — Gartner Leader (2025 & 2026), trusted by Fortune 500 companies, and defining an entirely new category. The market is pulling, not pushing. Every enterprise needs this.
If you've ever wanted to sell something that genuinely matters — where you're teaching, not just pitching — I'd love to chat.
[Your name]
Customer Success & Support
Customer Success ManagerLinkedIn / Email
Strategic partnerships with the Fortune 500
Hi [Name],
Your experience leading customer relationships at [Company] caught my attention.
At Atlan, Customer Success isn't a support function — it's a strategic one. Our customers are companies like Nasdaq, Mastercard, and General Motors, and they're using our platform to fundamentally transform how their AI systems understand their business.
We're the context layer for enterprise AI — a Gartner Leader building a new category. The CS role here is deeply consultative: helping data leaders map their business context, design governance workflows, and unlock AI that actually delivers ROI.
If you're drawn to deep, strategic partnerships over ticket queues, let's connect.
[Your name]
Marketing
Content / Product MarketingLinkedIn / Email
Write the playbook for a new category in AI
Hi [Name],
Your content work at [Company] — especially [specific piece/campaign] — really resonated.
Atlan is creating a new category: the context layer for enterprise AI. We have the product (Gartner Leader, twice), the customers (Nasdaq, Mastercard, GM), and the market timing ($2T in AI spend). What we need is storytelling that makes CxOs, data leaders, and engineers understand why context is the missing piece of AI.
This isn't writing feature briefs. It's shaping how the market thinks about a brand-new concept. Category creation at its most meaningful.
Would you be open to exploring this?
[Your name]
Finance
Finance / FP&ALinkedIn / Email
Finance at a company defining the AI infrastructure category
Hi [Name],
Your experience at [Company] — especially in [FP&A / strategic finance / SaaS metrics] — stood out.
Atlan is the context layer for enterprise AI — a Gartner Leader trusted by Nasdaq, Mastercard, and General Motors. We're in a rare position: category-defining product, enterprise customers, and a growth trajectory where finance plays a critical strategic role.
If you're interested in a finance seat where you're shaping strategy — not just tracking it — I'd love to connect.
[Your name]
HR, People & Talent Acquisition
HR / People / TALinkedIn / Email
Build the people function for a category-defining company
Hi [Name],
Your work building [people programs / talent strategy / culture] at [Company] is impressive.
Atlan is defining a new category in enterprise AI — the context layer — and we're scaling fast. Gartner Leader, Fortune 500 customers, and a culture built on five core values: Bias for Action, Give 120%, Be Straightforward, Problem First Solution Second, and One Team.
The people challenge here is exciting: hiring world-class talent into a category most people haven't heard of yet, building culture across a distributed team, and creating an employer brand for a company that's genuinely changing how AI works.
Interested in learning more?
[Your name]
Leadership / Executive
VP / Director / C-SuiteEmail (warm intro preferred)
Lead [function] at the company defining AI's context layer
Hi [Name],
I'll be direct — Atlan is building the infrastructure layer that will determine whether enterprise AI delivers on its $2T+ promise or remains stuck in pilot purgatory.
We're the context layer for AI: the system that gives AI an organization's business meaning, rules, and relationships. Gartner has named us a Leader two years running. Nasdaq, Mastercard, and GM are customers.
We're looking for a [VP of Engineering / Head of Design / etc.] who wants to lead [function] at a company where the market is pulling, the product is proven, and the category is being defined right now.
This is a "build the thing that changes how AI works" opportunity. Would you be open to a confidential conversation?
[Your name]
Short Format (Any Role)
UniversalLinkedIn InMail (Short)
The missing layer of the AI stack
Hi [Name] — quick one.
95% of enterprise AI pilots fail. Not because the AI is bad, but because it doesn't understand the business.
Atlan is building the fix — the context layer that gives AI your company's meaning, rules, and relationships. Gartner Leader. Nasdaq, Mastercard, GM as customers.
We're hiring [role] and your background in [X] caught my eye. 15 mins?
[Your name]
Ready-to-use hooks for job posts, social campaigns, career pages, and event marketing.
Awareness
"Your AI doesn't know your business. We're fixing that."
Job post opener, LinkedIn ads, career page hero
Problem
"95% of AI pilots fail. The problem isn't intelligence — it's context."
Social campaigns, blog headers, event intros
Category
"Data warehouses defined BI. The context layer will define AI. We're building it."
Senior hires, thought leadership, investor-facing
Engineer
"Build knowledge graphs at scale — not ad-click optimisers."
Engineering job posts, dev communities, hackathons
Mission
"Context will make AI worthy of humanity's most important moments."
Employer branding, about page, mission-driven candidates
Scale
"Nasdaq. Mastercard. GM. The world's biggest companies trust us with their AI infrastructure."
"$2 trillion is being spent on AI. Most of it will be wasted — unless someone solves context."
Exec-level sourcing, board presentations
Design
"6 million data assets. Every AI tool needs to understand them. Make that feel simple."
Design role posts, portfolio communities
GTM
"We're not selling features. We're teaching the market a new way to think about AI."
Sales/marketing roles, category-creation talent
People
"Five values. No politics. Building the people function for a company that's defining AI infrastructure."
HR/People roles, culture-focused candidates
Intern / New Grad
"Imagine your first job is at the company that makes AI actually understand business. That's Atlan."
Campus hiring, early career campaigns
Ready-to-post content for LinkedIn, Twitter/X, and internal channels. Edit the brackets and post.
LinkedIn — Thought LeadershipPersonal / Company page
95% of enterprise AI pilots deliver zero ROI. (MIT, 2025)
Not because the models are bad.
Because they don't understand the business.
Think about it: when you join a new company, you spend months absorbing context — how teams define metrics, which rules have exceptions, who owns what. Only then can you make good decisions.
Now imagine deploying 1,000 AI agents with none of that context.
That's what's happening at most enterprises right now. And it's why we're building the context layer at Atlan — the infrastructure that gives AI your company's meaning, rules, and relationships.
Data warehouses defined BI. The context layer will define enterprise AI.
We're hiring. Link in comments.
#AI #EnterpriseAI #ContextLayer #Hiring
We're hiring [role] at Atlan.
Here's why this isn't your typical [engineering/product/sales] job:
• We're building a new category — the context layer for AI
• Gartner named us a Leader. Twice.
• Our customers include Nasdaq, Mastercard, and General Motors
• The problem we solve: making AI actually understand business
If you've ever wanted to work on infrastructure that shapes the future of AI — not just another feature factory — let's talk.
[Link to role]
#Hiring #AI #DataEngineering
Twitter/X — Thread StarterCompany / personal
Companies are spending $2T on AI.
95% of pilots fail.
The problem isn't the model. It's the context.
Here's what that means ↓
1/ When you ask an AI "what's our revenue?" it doesn't know if you mean ARR, bookings, or GAAP revenue. It doesn't know Q4 included a one-time deal. It doesn't know "customer" means different things in Finance vs Sales.
2/ That missing business understanding is the "context gap." It's why AI demos work great but AI in production fails.
3/ At @ataboratories we're building the context layer — the infrastructure that captures a company's meaning, rules, and relationships and makes it available to every AI tool.
4/ We're hiring. If this problem excites you: [link]
LinkedIn — Employee AdvocacyFor any Atlaner to share
I get asked "what does Atlan actually do?" a lot.
Here's my simplest explanation:
Every company has data. But the *meaning* behind that data — what "revenue" means in Finance vs Sales, which rules have exceptions, how teams actually make decisions — that lives in people's heads.
AI is brilliant at processing data. It's terrible at understanding meaning.
We build the infrastructure that gives AI that understanding. We call it the context layer.
It's why 95% of enterprise AI projects fail without something like this — and why companies like Nasdaq and Mastercard trust us to fix it.
If this kind of problem excites you, we're hiring: [link]
Templates for internal referral asks and employee sharing.
Slack — Internal Referral Ask#general / #hiring
Hey team! We're actively hiring for [role].
Here's a quick way to explain what we do to friends who aren't in data:
"You know how AI keeps getting things wrong at big companies? That's because it understands language but not the business. Atlan builds the layer that gives AI that business understanding. Think of it as the onboarding guide for AI."
If anyone in your network would be excited about this, send them this page: [link to explainer]
Referral bonus applies!
WhatsApp / DM to a FriendPersonal outreach
Hey! My company Atlan is hiring for [role] and I immediately thought of you.
Quick version: you know how companies are spending billions on AI but most of it doesn't actually work? That's because AI is smart but doesn't understand the business it's working in. We build the "context layer" that fixes that — basically the infrastructure that teaches AI what a company's data actually means.
We're a Gartner Leader, our customers are Nasdaq/Mastercard/GM-level, and we're growing fast.
Here's a page that explains it simply: [link to explainer]
Interested in chatting with the hiring team?
Email — Warm IntroductionForwarding a candidate to TA
Subject: Referral for [Role] — [Candidate Name]
Hi [TA contact],
I'd like to refer [Candidate Name] for the [Role] position.
Background: [Brief on candidate's background and why they'd be a fit]
I've shared this explainer with them so they understand what we do: [link]
They're [actively looking / open to conversations / very interested].
Happy to make an intro or share their contact directly.
[Your name]
Drop these into the "About Us" or opening section of any job description to immediately convey what Atlan does and why it matters.
Standard — All RolesJD "About" section
About Atlan
Atlan is the context layer for AI — the infrastructure that gives enterprise AI systems the business meaning, rules, and relationships they need to actually work. 95% of enterprise AI pilots deliver zero ROI (MIT, 2025) because AI understands language but not business. We're fixing that.
Named a Leader in the Gartner Magic Quadrant (2025 & 2026) and Forrester Wave (2025), Atlan is trusted by companies like Nasdaq, Mastercard, General Motors, HubSpot, and Unilever. Founded in 2019, we're growing fast and building the foundational infrastructure for the AI era.
Our values: Bias for Action. Give 120% & Never Be Satisfied. Be Straightforward. Problem First, Solution Second. One Team.
Engineering-FocusedJD "About" section
About Atlan
We're building the context layer for enterprise AI — the system that captures an organization's business meaning, rules, and knowledge and delivers it to AI agents at inference time. Think: enterprise-scale knowledge graphs, real-time context retrieval APIs, 80+ data system integrations, and AI-powered context bootstrapping.
This is infrastructure, not another SaaS feature factory. Our customers (Nasdaq, Mastercard, GM) depend on us for the critical layer between their data stack and their AI systems. Gartner named us a Leader two years running.
If you want to build hard things that matter, this is the place.
Non-Technical RolesJD "About" section
About Atlan
Companies are spending trillions on AI, but most of it doesn't work. Why? Because AI is smart but doesn't understand the business it's operating in. Atlan fixes that.
We build the "context layer" — the infrastructure that teaches AI what a company's data actually means. Think of it as building the collective brain of an organisation and plugging every AI tool into it.
Named a Leader by Gartner and Forrester, trusted by Nasdaq, Mastercard, and General Motors, and built on five values: Bias for Action, Give 120%, Be Straightforward, Problem First Solution Second, and One Team.