New Roles · AI Operators & Cross-Functional Roles

AI Evangelist. The role, the market signal, and how to build it in your org.

Explains AI capabilities through demonstrations, technical content and workshops. Brings user questions and feedback to product and engineering teams.

In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.

Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.

8 postings · 7 distinct titles · from 264,613 real job postings · see the source snapshot →

Prepare people for this role Explore this role’s hiring evidence Book a 20-minute walkthrough

What the market calls it

Claude EvangelistApplied AI Claude EvangelistAI Developer AdvocateAI Evangelist

Employers in this source snapshot

Mistral AI 3Adobe 2Anthropic 2Infosys 1

What the postings ask this role to do

97 tasks extracted from real AI Evangelist job descriptions, classified Automate / Augment / Human-only. In this source classification, 2.1% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate

Monitor metrics for ai adoption, usage, and impact.
Create regular reports on adoption progress, challenges, and opportunities.

Augment

Surface market signal and developer sentiment from the startup ecosystem back to internal teams
Partner with gtm, sales, and marketing to create developer-focused activation campaigns and messaging for the startup ecosystem
Remain informed about industry trends, best practices, and emerging technologies in ai, continuously updating your knowledge and skills.
Work with the startups partnerships team to ensure vc and accelerator relationships translate into real developer engagement and usage metrics
Develop enterprise-focused, high-quality demos and sample code that enable developers to effectively understand and utilize mistral ai's products and integrations.

Human-only

Establish thought leadership in enterprise ai transformation through strategic initiatives and developer education.
Create scalable processes and grow the team as the startup ecosystem expands
Represent anthropic as a trusted technical resource in the startup ecosystem
Own developer-facing programming at anthropic's builder summits and global startup activations
Collaborate closely with the product team to stay aligned on platform strategy, content, and developer programs

How we build it in your org

From the market's version of this role to your version of it

1. Define workflow responsibilities

Start with the actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.

2. Define your version

Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.

3. Practise and assess readiness

Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.

Reimagine a workflow →Explore Project Readiness →

Start with the work, not the org chart.

Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.

Explore the data →Prepare your people →