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Junior Customer Solutions Engineer @Briink (AI & ESG)

Berlin, London
Full-time
Permanent employee

What we do

Location: Berlin or London · Full-time

At Briink, we build AI tools that help ESG and sustainability teams collect, manage, analyze, and report sustainability data at scale.

We are the AI partner for ESG teams at leading global organizations, including corporations such as Bayer, Deutsche Telekom, and Continental AG, as well as leading standard-setting organizations like CDP. Our platform helps organizations transform how sustainability data is collected, analyzed, and reported.

We are looking for a Customer Success Manager to help enterprise customers implement Briink’s AI workflows in their ESG reporting processes. The role sits at the intersection of customer success, product, and technical implementation, helping large organizations integrate AI into complex sustainability workflows.

READ BEFORE APPLYING: Adding a short intro video (https://briink.fillout.com/t/exY8dQJ3z9us) is mandatory for this position. We do this to get a better sense of candidates before continuing the process and find it really helps.  Any application without a video will be rejected by default. Find instructions at the bottom of the post. No cover letter is required. Thank you! 

Your role

You will work directly with enterprise customers to help them implement AI into their ESG and sustainability workflows.

Your responsibilities will include:

  • Supporting customers during pilots, onboarding, and early deployments

  • Helping customers set up ESG workflows, questionnaires, and document analysis processes in the Briink platform

  • Acting as a trusted partner to customers, helping them apply Briink to their sustainability reporting and ESG analysis processes

  • Running customer check-ins and success meetings to ensure clients are achieving value from the platform

  • Supporting product demos and answering customer questions during implementation

  • Working closely with the product and engineering teams to relay customer feedback and improve the platform

  • Identifying opportunities to expand platform usage and grow accounts

You will gain hands-on experience implementing AI systems for large global organizations.

Your profile

We’re looking for someone who enjoys solving real-world problems with customers and technology.

You likely bring:

  • 1–3 years of experience in a technical, analytical, or customer-facing role (e.g. solutions engineering, customer success, consulting, data analysis, or similar)

  • Comfort working with data and technical tools (APIs, spreadsheets, basic Python or similar)

  • Strong communication and problem-solving skills

  • Curiosity about AI and how it can improve real-world workflows

  • The ability to work directly with enterprise stakeholders

Nice to have:

  • Experience with AI SaaS products or technical customer success roles 

  • Exposure to ESG and sustainability reporting 

  • Experience working with large enterprise clients

What we offer

An impactful mission

Sustainability data is becoming central to how organizations operate and report. We believe AI can transform how this data is collected, managed, and used to drive better decisions.

Trust and ownership

From day one, you will take ownership of real customer implementations and contribute to how our product evolves.

A collaborative environment

Work closely with experienced founders, engineers, and operators building AI systems used by global organizations.

Flexible working setup

We offer flexible working arrangements with team members based in Berlin and London.

Competitive compensation

Salary and equity reflecting your contribution to the company.


We encourage you to apply!

Even if your experience doesn’t perfectly match every requirement, we encourage you to apply. Many great candidates hesitate because they don’t tick every box — we care more about curiosity, motivation, and the ability to learn.

About us

We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.