Delivery Solutions Architect (Communications, Media, Entertainment & Games)
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Описание вакансии
TL;DR
Delivery Solutions Architect (Data & AI): Leading post-sale technical strategy and adoption of the Data Intelligence Platform for strategic customers in the media and entertainment sector with an accent on technical accountability and business value realization. Focus on designing execution plans for workload production, driving product adoption, and managing complex technical escalations.
Location: United States
Salary: $180,000 — $247,500 USD
Company
is a data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Lead post-technical win account strategies and execution plans for strategic customers.
- Act as the accountable technical leader for onboarding, enablement, and go-live of workloads.
- Coordinate with Professional Services to create and execute points-of-view for accelerating use cases into production.
- Collaborate with Product and Engineering teams regarding innovations, private previews, and upgrade needs.
- Develop execution plans covering user growth, product adoption, and cloud cost optimization.
- Provide KPI reporting on usage and customer health to the Technical GM.
Requirements
- 5+ years of experience in technical project/program delivery within the Data and AI domain.
- Programming proficiency in Python, SQL, or Scala.
- Experience in customer-facing roles such as pre-sales, technical architecture, customer success, or consulting.
- Deep understanding of solution architecture related to distributed data systems.
- Proven track record of managing complex escalations with senior customer executives.
- Bachelor's degree in Computer Science, Engineering, or equivalent work experience.
- Ability to travel up to 30% when needed.
Culture & Benefits
- Comprehensive benefits package including eligibility for annual performance bonus and equity.
- Opportunity to work at the company founded by the creators of Apache Spark, Delta Lake, and MLflow.
- Commitment to a diverse and inclusive culture with equal employment opportunity standards.
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