As a Data Solutions Lead, 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.
You'll also: 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
A day in the life The minimum base pay salary for this position is listed below. Amazon reserves the right to offer a higher base salary, depending on the candidate's skills, competencies, and experience. As a total compensation company, Amazon's package may include further pay components such as a sign on payment, the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA, and sales incentives where applicable. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements. Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being). The minimum base pay for this position is PLN 9,050 monthly.
Basic Qualifications
- CEFR C1+ or equivalent fluency in Italian language
- Written and spoken knowledge of English is essential (CEFR B2+)
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- Associate's degree or equivalent work experience
- 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
- Outstanding customer communication and management skills, especially in technical consultation
- Ability to translate complex technical concepts into tactical applications
Preferred Qualifications
- Bachelor's degree in Computer Science, Business or a related field
- Experience with project management
- Working knowledge of JSON, Command Line, and Python
- Technical account management experience
- Background in customer success or solution consulting
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.
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.