• Qualify inbound leads from events, webinars, and content downloads and move them quickly through the top of funnel
• Run outbound sequences into target accounts across EMEA, with a focus on data engineering and platform teams
• Personalize outreach using tools like ZoomInfo, LinkedIn Sales Navigator, and HubSpot — we're not a spray-and-pray shop
• Collaborate closely with your AE and the marketing team to align on account strategy and messaging
• Represent DataHub at field events in the region when needed

• 1–2 years of BDR or SDR experience, ideally in B2B SaaS
• Comfortable working both inbound and outbound pipelines
• Strong written and verbal communication — you know how to be concise and still be interesting
• Naturally curious about data and technology — you don't need to be an engineer, but you should want to understand what our buyers care about
• Based in London and eligible to work in the UK

• Experience selling to data engineering, analytics, or platform teams
• Some familiarity with the data or analytics space — enough to hold a credible first conversation
• Proficiency in an additional European language

• Competitive base + commission with uncapped upside
• Clear path to AE for strong performers
• A seat at the table in a scaling GTM org — your work shows up in real pipeline
• Hybrid working from our London office

The role

You'll join a small, high-impact Customer Success team responsible for driving adoption and long-term value across a portfolio of enterprise accounts. Your job is to make sure customers don't just get DataHub up and running — they actually use it, love it, and expand it across their organization.

You'll guide customers through onboarding, help them get unstuck, and build relationships that turn early deployments into lasting programs. You'll work with data teams on practical setup questions one day, and walk an executive through their adoption progress the next.

What you'll do

• Own a portfolio of enterprise accounts end-to-end, from onboarding through renewal and expansion
• Partner with customers to build adoption plans grounded in their specific goals and data maturity
• Help customers through initial setup, configuration questions, and common troubleshooting scenarios
• Translate adoption progress and business value into clear narratives for executive stakeholders
• Identify at-risk accounts early, understand the root cause, and get things back on track
• Collaborate with Product and Engineering to share customer feedback and influence the roadmap
• Build repeatable playbooks and resources that help the CS team scale

What you'll bring

Required

• Familiarity with data governance, data cataloging, or metadata management more broadly
• Exposure to common data stack tools like dbt, Airflow, Snowflake, or Databricks — you don't need to be an expert, but you know what they do
• Three or more years in a client-facing role managing multiple accounts at once (Customer Success, Account Management, Technical Account Management, or similar)
• Comfortable communicating with both data practitioners and business stakeholders — you can adjust your message depending on the room
• Strong written and verbal communication skills — you write clearly, prepare thoroughly, and run meetings that end with decisions

Nice to have

• Real, hands-on experience using DataHub — you've worked with it day-to-day, understand how it's configured, and have helped others get value from it
• Experience driving DataHub adoption inside an organization, ideally as an internal champion or power user before moving into a customer-facing role
• Background in a data-adjacent role (analytics, data operations, data product management) before moving into CS
• Previous startup or consulting experience

Where you'll be based

London, England (hybrid, 2/3 days in Borough High Street office)

The Company

DataHub is the leading AI & Data Context Platform, trusted by more than 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Built with the strength of an open-source community of 13,000+ members, our metadata graph technology provides unmatched scalability, extensibility, and in-depth visibility into AI and data assets.

Our SaaS offering, DataHub Cloud, delivers AI-powered discovery, observability, and governance — empowering organizations to accelerate time-to-value, ensure AI reliability, and bring order to data chaos.

We’re growing fast, and we’re looking for people who are as customer-obsessed as they are technically strong.

The Role

We are seeking a gifted and resourceful Customer Centric Engineer (CCE) to serve as the bridge between our customers and Engineering teams. This is beyond traditional support — it’s a hybrid role where you’ll provide advanced troubleshooting, help guide onboarding, and partner with Engineering and Product teams to shape both the customer experience and the evolution of DataHub itself.

What You’ll Do

• Provide advanced technical support to our growing customer base via multiple channels (Zendesk, Zoom, Slack).
• Troubleshoot complex issues spanning software configuration, networking, and integrations — including analyzing logs, reproducing issues, and debugging code.
• Ensure our customers achieve fast and lasting success with DataHub.
• Act as a trusted advisor, helping customers optimize their usage and proactively address gaps or inefficiencies.
• Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
• Monitor customer health metrics and advocate internally (alongside our Customer Success team) for improvements based on customer feedback.
• Contribute to customer-facing resources: FAQs, troubleshooting guides, training materials, and knowledge base articles.
• Continuously expand your technical skill set through training, certifications, and self-directed learning.
  
  

What You’ll Bring

• 5+ years of experience in software engineering, data engineering, or supporting complex enterprise applications.
• Expertise and understanding of Python; general understanding of frontend technologies like React, TypeScript, JavaScript, etc.; experience with data pipelines, ELT processes, and the modern data stack.
• Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
• Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP). Understanding of (and experience with) modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.)
• Experience with UNIX commands and system administration/navigation
• Experience troubleshooting and debugging code in enterprise environments.
• Excellent written and verbal communication skills — able to explain technical detail clearly to customers at all levels.
• A passion for helping customers succeed and a mindset rooted in collaboration and empathy.
• An appetite for working in a fast-paced startup environment.
• Bachelor’s degree in Computer Science or equivalent practical experience.
  
  

Why Join DataHub?

• Direct impact: Shape the Support function and influence the customer experience.
• Technical depth: Work across software, data platforms, cloud, and modern DevOps.
• Growth culture: A collaborative, diverse, and inclusive environment where learning never stops.
• Competitive package: Salary, health benefits, and equity. You’ll have an ownership stake in the company.