- Professional
- Office in Austin
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 doesn’t exist in most companies yet. In 3–5 years, it will be core to how modern orgs launch and scale. Right now, you get to help define it.
About Concord
We’re an AI‑first company building the Model Context Protocol (MCP) infrastructure that will make traditional contract management obsolete. While others experiment with tools, we’re creating the protocols, connectors, and systems that will become industry standards.
We’ve already gained traction with 1,500+ companies and over 1M users—but we’re 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, you’ll thrive here. If you need detailed playbooks and predictable tasks… probably not.
This role is not for you if…
If you’re looking for:
A customer-facing job in sales or marketing
A role that’s more focused on tweaking copy than building automation
A job where you don’t have to constantly test and iterate new workflows
A position where you’ll 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 research—reading 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 go‑to‑market and product operations. About half your time will be systems and agents; the other half will be hands‑on setup, testing, and improvements.
We’re 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 you’ll 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 automatically—enrich, 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. Auto‑update CRM/CS records, schedule follow‑ups, and surface blockers without manual copy‑paste.
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 time‑to‑first‑touch 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 real‑time 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 day—email sequences, page sections in Framer, sales one‑pagers, CS guides, social threads, short video scripts. Auto‑generate 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 follow‑ups by segment.
What you bring
2–5 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), in‑product 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
Self‑directed research—able to read docs, explore product flows, and join customer calls without waiting for a brief
Why this is different
You’ll connect AI tools in ways most companies won’t even think about for years
Your “colleagues” will include AI agents you helped design
The playbook isn’t written, because you’ll help write it
The impact is direct: fewer manual steps and faster outcomes across teams
Important information
Location: Austin, TX. This role is full‑time in‑office at our Austin HQ (Northwest Hills)
If you’ve been waiting to prove how AI‑driven automation grows pipeline—this is your boarding call.
What you’ll drive (missions, not chores)
What you bring
Why this is different
Important information
If you’ve been waiting to prove how AI‑driven automation grows pipeline—this is your boarding call.
Apply Now
