Integral SaaS Scale-up | Series B Fully remote in EU or from our offices (Bratislava, Prague, Barcelona) From €3k gross/month depending on experience and location

About CloudTalk

CloudTalk is an AI-powered business phone system and AI Voice Agent platform built for sales and support teams. It brings business calling, AI-powered call intelligence, and autonomous AI voice agents together in one platform, helping small and mid-sized businesses make more calls, handle more conversations, and deliver better customer experiences.

Serving customers in 160+ countries, CloudTalk is backed by $36M in funding from leading investors, including KPN Ventures, Point Nine, and HenQ. We’re investing in making AI a natural part of every business conversation and helping companies get more value from every call.

With a team of 200 people, CloudTalk values growth, innovation, teamwork, customer focus, and human connection. The company moves fast, builds for the future, and cares deeply about creating products and a culture that people genuinely love.

About the role

A feature ships on Tuesday. By Friday, the docs, the in-app tour and the answers our AI tools give are correct, and a person has reviewed them. This role makes that the normal week.

We're creating a new role in Product Marketing to own how we teach customers and our own teams how CloudTalk works. We're looking for a product educator who can build systems: someone who knows how to teach, and uses AI and automation to do it at the pace we ship.

CloudTalk ships more than 100 releases a quarter. Keeping documentation, guides and in-app help in step with that pace by hand doesn't scale,



so this role is about building the systems that do it: documentation that updates as the product ships, AI that drafts and checks, and a clear view of what people need to learn. You’ll put AI to work in a structured, repeatable way, decide what we teach, and keep improving the rules behind the systems so quality gets better over time.

It starts with the product. You’ll know CloudTalk inside out, understand what each change means for the people using it, and decide which parts of the work AI does and which parts need you. If you get excited about product and enjoy explaining it, you’ll feel at home: you’ll present to customers and to our own teams, in webinars, sessions and how-tos.

We want someone who has built the workflow, not just used ChatGPT to draft content. This is a new role with no playbook: we'll set priorities together, and the first 90 days focus on the docs system and the most-asked topics. You’ll work closely with Product, Support and Marketing.

The work runs at three levels:

1. Keep up with releases. Systems that keep docs, tours and screenshots in step with what ships. Success: docs are current within a week of a release, without anyone having to ask.
2. Educate on bigger changes in how the product works. How-to launches that help customers and our teams adopt bigger changes. Success:



a how-to launch run end to end, with in-app guidance reported against activation and adoption goals.
3. Improve what we have. Systems that show what customers and our teams keep asking, so we fix the content that matters most. Success: fewer "how do I" tickets on the topics we fixed.

What success looks like

First 90 days

- A working system that turns product changes into documentation updates, with a weekly review in place.
- A recurring view of the most asked topics, with the first ones fixed.
- Product tours checked against the current product, with a system to keep them current.
- One how-to launch run end to end.

Ongoing

- Docs are current within a week of a release, without anyone having to ask.
- Fewer "how do I" tickets on the topics we fixed.
- In-app flows and education content reported against activation and adoption goals.
- Our AI tools give the same answer a good Support agent would.

What you'll do

1. Keep up with releases

- Build systems that update product documentation automatically as the product ships.
- Set up the review process: every change checked by a person, whether a person or AI wrote it, and every mistake fed back into the rules.
- Run and extend our release notes automation.
- Build regular checks that compare docs, tours and screenshots against the live product and flag what drifted.
- Keep product facts accurate for the AI tools that answer customers and our teams.

2. Educate on changes in how the product works

- Run how-to launches end to end for changes in how the product works, like a new analytics experie

📌 Product Education Manager (Barcelona)
🏢 CloudTalk
📍 Barcelona