Build AI workflows that turn signals into outcomes.
AI is changing how companies grow. Become a pioneer in a new type of role building connected multi-tool MCP workflows that help our Sales Marketing and CS teams move faster.
This role doesnt exist in most companies 35 years it will be core to how modern orgs launch and scale. Right now you get to help define it.
About Concord
Were an AIfirst company building the Model Context Protocol (MCP) infrastructure that will make traditional contract management obsolete. While others experiment with tools were creating the protocols connectors and systems that will become industry standards.
Weve already gained traction with 1500 companies and over 1M usersbut were just getting started. The next phase will fundamentally change how businesses sell support and scale.
If you like moving fast using the newest models and solving problems no one has solved yet youll thrive here. If you need detailed playbooks and predictable tasks probably not.
This role is not for you if
If youre looking for:
A customer-facing job in sales or marketing
A role thats more focused on tweaking copy than building automation
A job where you dont have to constantly test and iterate new workflows
A position where youll have weeks to fine-tune every idea
then this role will frustrate you.
This role is for you if
You thrive on:
Building workflow automation that makes teams faster
Using AI to connect tools and trigger the right actions at the right time
Doing your own researchreading docs joining customer calls digging into data
Working as a maker who ships and improves every week
About the role
As our AI Ops Manager (reporting to GTM lead) you will build and run the AI workflows and small agents that power our gotomarket and product operations. About half your time will be systems and agents; the other half will be handson setup testing and improvements.
Were hiring for three of these roles: one that will support our Marketing team one for Sales and one for CS. On each team the mission is the same: turn signals into the next best action with less manual work and faster response.
What youll drive (missions not chores)
Connect the stack with MCP. Use MCP connectors to join product signals website/forms events/webinars and CRM/CS tools into one AI workflow layer. When a signal arrives trigger the next step automaticallyenrich score dedupe assign start the right sequence/nurture or create tasks with SLAs.
Build AI copilots for daily work. Ship lightweight agents that prep teammates before calls/meetings capture the right notes and signals during and coach the next step after. Autoupdate CRM/CS records schedule followups and surface blockers without manual copypaste.
Lead account and ticket autopilot. Keep routing clean across teams: enrichment scoring territory/ownership handoffs and alerts for stuck items (leads opps renewals support tickets). Reduce timetofirsttouch and speed up cycles.
Audience intelligence personalization. Maintain a live profile of accounts and users (role plan usage intent). Use LLMs to infer needs and expose realtime segments and a best next action/message API that any channel can call (site email chat product ads).
Template and asset factory. Turn one approved narrative or play into many assets in a dayemail sequences page sections in Framer sales onepagers CS guides social threads short video scripts. Autogenerate role/industry variants follow naming/taxonomy rules and push to HubSpot Framer and Appcues with one command.
Demo trial and event automation. Build a demo/trial seeder that creates realistic data toggles features and resets with one click. Pair it with a program bot for webinars/roadshows/workshops that creates pages reminders join links clips recordings and routes followups by segment.
What you bring
25 years in ops or automation (marketing ops sales ops/RevOps CS ops growth engineering or product ops)skill proof matters more than years
Ability to use AI tools (ChatGPT Claude Perplexity and others) and to build small agents with MCP connectors
Tool fluency across a modern stack (examples): CRM/automation (HubSpot) analytics (Google Analytics) web (Framer) inproduct guidance (Appcues)
Confidence with APIs webhooks and basic scripting (JavaScript or Python); HTML/CSS for small web updates
Understanding of lifecycle models and funnels (from first touch to activation expansion and renewal)
Clear writing and documentation; steady habits for testing monitoring and version control
Selfdirected researchable to read docs explore product flows and join customer calls without waiting for a brief
Why this is different
Youll connect AI tools in ways most companies wont even think about for years
Your colleagues will include AI agents you helped design
The playbook isnt written because youll help write it
The impact is direct: fewer manual steps and faster outcomes across teams
Important information
Location: Austin TX. This role is fulltime inoffice at our Austin HQ (Northwest Hills)
If youve been waiting to prove how AIdriven automation grows pipelinethis is your boarding call.