Technical Account Manager, Data Collection Excellence
Job ID: 10534062 | Evi Technologies Limited - C67
As a Technical Account Manager with German you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.
Key job responsibilities
- Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
- Coordinate across teams to ensure seamless delivery and stakeholder alignment
- Own relationships with customer scientists, becoming their go-to partner for ML data solutions
- Provide consultation on ML workflow capabilities, helping customers maximize value
- Monitor and optimize collection health metrics to ensure customer success
- Drive customer adoption through providing technical value and the provision of an exemplary customer experience
- Guide customers on workflow feasibility and data collection best practices
- Collaborate with implementation teams to define and validate technical requirements
- Evaluate scalability of annotation scenarios and provide strategic recommendations
- Influence technical documentation and guidelines
Basic Qualifications
- Speak, write, and read fluently in German and English at C1 level or above
- Strong technical foundation with hands-on experience in Python or SQL, command-line tools (CLI), and JSON
- Minimum 2 years of experience in a customer-facing or client-facing technical role (e.g., technical support, solutions consulting, technical account management, implementation consulting, presales engineering, or similar)
Preferred Qualifications
- Bachelor's degree in Computer Science, Business or a related field
- Experience in AI/ML data workflows, data annotation, or data collection operations
Equal Opportunity & Diversity Statements
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.
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Technical Account Manager, Data Collection Excellence employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
