AI Enablement Specialist ( SaaS​/Remote

Ready to own it, build it, and grow it?

About us:

We are Publitas! We’re a remote-first, fast-growing SaaS company helping brands turn static content into digital discovery experiences that drive results.

We’re not about busywork, hierarchy, or hand-holding. We hire sharp minds, trust them fully, and measure success by real results, not noise. If you thrive in autonomy, challenge, and high ownership, you’ll love it here.

About the role:

We’re looking for an AI Adoption & Enablement Specialist to help our remote-first team use AI confidently, responsibly, and effectively. Your first focus will be internal adoption: improving how we work, reducing low-value manual effort, and embedding AI into everyday workflows across teams (e.g., People, Customer Success, Marketing, Sales, Product, and Engineering).

Over time, the role will expand into AI adoption for our product—supporting internal readiness, collaborating with Product and Engineering, and helping us translate internal learnings into customer-facing value.

This is a hands-on role that blends enablement, change management, process design, and practical AI tooling.

You’re a practical builder and coach, not just someone who’s excited about AI. You can translate new technology into everyday behaviors, and you’re comfortable working with a diverse, distributed team.

You’ll likely have experience in:

• AI enablement / digital transformation / operations / tooling adoption

• Building training programs and improving ways of working

• Process improvement or operational excellence

• Working cross-functionally in a remote-first environment

Skills & strengths

• Strong understanding of modern AI tools (LLMs, copilots, automation tools) and how to apply them

• Confident communicator who can train and influence across teams

• Strong documentation habits (clear writing, templates, playbooks)

• Analytical mindset: can measure adoption and communicate outcomes

• Practical change management: you know how to drive behavior change

• Comfortable experimenting, iterating, and learning fast

• Familiarity with AI governance / data privacy best practices

• Experience with workflow automation tools (Zapier, Make, n8n, Power Automate, Notion automations, etc.)

• Experience building prototypes (e.g., basic scripts, no-code tools, prompt-based assistants)

• Experience supporting or launching AI features in a SaaS product

• Experience in B2B SaaS environments

• Get excited by taking ownership and figuring things out proactively

• Thrive in a remote, async, fast-paced environment

• Are striving to deliver impact, not just running tasks

• Think in systems but execute with creativity

• Are direct, collaborative, and have a growth mindset

• Need layers of process or someone to constantly tell you what to do

• Prefer “business as usual” over change

• Want a team where mediocre is okay

• Have never worked remotely and think async means “lonely”

• Are waiting for permission instead of taking initiative

1) Drive internal AI adoption (primary focus)

• Build and run a structured internal AI adoption program (onboarding, training, continuous learning)

• Identify high-impact workflows where AI can reduce time, improve quality, and increase speed

• Partner with teams to redesign processes and implement AI-assisted workflows (e.g., docs, automation, support workflows)

• Create “AI playbooks” and templates (prompt libraries, examples, best practices by function)

• Act as a coach and internal consultant—supporting different teams with practical AI usage

• Increase adoption through measurable initiatives (usage engagement, time saved, quality improvements)

2) Enablement & training

• Deliver engaging training sessions (live + async) for different skill levels

• Build self-serve learning materials (guides, short videos, internal wiki content)

• Create role-based AI learning tracks (e.g., “AI for Customer Success,” “AI for Hiring,” “AI for Product Ops”)

• Host office hours and support channels to keep momentum strong

3) Tools, governance, and responsible AI usage

• Help define internal standards for safe and responsible AI use (data handling, prompt hygiene, compliance)

• Recommend and help implement a stack…