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Why MergeOn

Turn the knowledge you already have into governed context AI can use.

Policies, procedures, manuals, regulations and operating documents were written for people — not AI.

MergeOn Document Intelligence transforms them into structured Tier-3 Review Packs, preserving meaning, relationships, dependencies and source context. Accepted knowledge can then be governed in the Knowledge Center and supplied to AI at execution.

Better context. Less repeated processing. More efficient AI execution.

Explore Governed Knowledge

Build on MergeOn

The application asks for a business outcome. The Runtime governs how it is produced.

An integration calls a published Business Capability rather than a model endpoint, so knowledge, policy, protection, human authority and evidence stay part of the activity instead of becoming your problem to rebuild.

Everything below describes the contract you build against and the architecture behind it.

Explore the developer platform

Know where you stand

Most organizations do not have an AI problem. They have a clarity problem.

Before deciding what to build, it helps to establish what your organization already believes about ownership, governance and decision-making — and where those beliefs disagree with each other.

Start with an honest read of where you are. Everything else follows from it.

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Company/Careers

Build the infrastructure enterprises will need to trust AI with real work.

MergeOn is building the control plane for governed enterprise AI execution. We’re looking for people who want to solve the hard problems between powerful AI models and the organizations expected to trust them.

Why build here

Four reasons the work is different.

Mission-critical impact

Your work will support organizations operating in healthcare, finance, legal, logistics, and other regulated industries where decisions must be explainable, auditable, and trustworthy.

Frontier infrastructure

We are solving problems at the intersection of AI, governance, document intelligence, distributed systems, and operational execution. Many of the systems we need do not exist yet.

High trust, high ownership

Small team. Clear accountability. Meaningful responsibility. You will own systems, not tickets.

Built for close collaboration

The problems we are solving are complex, interconnected, and high-stakes. We believe the best work happens when strong builders collaborate closely, move quickly, and solve hard problems together.

Open roles

Where we need people now.

Most roles are based in Scottsdale, Arizona. We value close collaboration because the systems we are building are complex, high-stakes and deeply interconnected.

Engineering4 roles

Senior Platform Engineer — Intelligence & Data Systems

Hiring now
Scottsdale AZFull-time

Core backend services powering the MergeOn Intelligence Layer (MIL); API design for controlled, policy-driven access to data; search and retrieval systems (keyword, vector, hybrid); event-driven pipelines for large-scale document ingestion and processing — systems where correctness, auditability, and security matter more than UI polish. This is a backend-heavy systems role; you will not be building forms.

TypeScript / Node.jsDistributed systemsSearch & retrievalEvent-driven architectureGCP (Cloud Run, Pub/Sub, GCS)
Apply

Staff Data Engineer — Intelligence, Search & Compliance

Hiring now
Scottsdale AZFull-time

The canonical data layer behind MergeOn's intelligence and compliance systems; schema design for large-scale document and metadata processing; ingestion pipelines that support backfill, replay, and lossless updates; indexing strategies for search, retrieval, and audit; data lineage and access logging for regulated workflows.

Data modeling at scaleSearch indexingEvent-driven ingestionPerformance vs correctnessRegulated systems a plus
Apply

Senior AI Engineer — Retrieval & Governance

Hiring now
Scottsdale AZFull-time

Production AI systems built on retrieval-augmented generation (RAG); vector search and embedding strategies for document intelligence; tool-calling LLM orchestration (models do not “figure it out” here); PII redaction, data minimization, and policy-enforced AI access; latency-aware AI workflows that operate safely in real systems.

RAGVector searchLLM orchestrationDocument intelligencePrivacy-preserving AIProduction ML
Apply

Junior Software Engineer — Platform & Product

Scottsdale AZFull-time

Shipping real features on top of a production intelligence platform; APIs, workflows, and UI surfaces that interact with search and AI systems; learning how large-scale, regulated systems are actually built. This is a growth role for engineers who want exposure to real infrastructure.

JavaScript / TypeScriptReactAPI integrationBackend curiosity
Apply
Go-to-market2 roles

Enterprise Sales Lead

Scottsdale AZFull-time

Sell to healthcare, legal, and financial services. Complex deals, long cycles, high value. You'll shape our entire sales motion.

Enterprise SalesHealthcareLegalFinServ
Apply

Content & Product Marketing

Scottsdale AZFull-time

Tell our story to technical buyers. Case studies, product launches, thought leadership. Writing chops essential.

ContentB2B MarketingTechnical WritingProduct Marketing
Apply

Don’t see a perfect fit? Choose the general application on the application form and tell us what you’d build and why.

Not open yet

Roles we expect to open as the team grows.

These are not currently open. If one is clearly your role, apply anyway and say so — we would rather know early.

DevOps / Platform Engineer

Kubernetes, CI/CD, infrastructure as code

Customer Success Lead

Onboarding, retention, expansion

Solutions Architect

Pre-sales technical lead for healthcare, legal, and financial-services deals.

Hiring process

Four steps, and we tell you where you stand.

We evaluate for capability, curiosity and ownership. The process is designed to be rigorous, respectful and efficient.

01Apply

Send your resume and a short note about why MergeOn interests you.

5 min
02Intro call

Quick chat to learn about each other. Culture fit, role expectations.

30 min
03Technical / skill

Relevant exercise or case study. Take-home or live — your choice.

1–2 hrs
04Final chat

Meet more of the team. Ask anything. Make sure we're right for you.

45 min

Own systems, not tickets.