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Senior Go-To-Market (GTM) Analytics Engineer (AI & Pipelines)Databricks

Belgrade, Serbia

Bachelor's degree in Statistics, CSE, Economics, Business or a related subject

8–12+ years leading large-scale technical programs.Technical Fluency: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire.AI Strategy: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy.Senior Leadership: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs).Scope: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.

Deadline:22 Oct 2026

15+ years of software engineering experience with a strong track record of technical leadership and impact.5+ years of engineering management experience, including 2+ years managing other managers (or clear readiness to).Technical Depth: A Staff engineer caliber IC background before pivoting to management, with full-stack experience (including back-end, not purely front-end/UI); comfort leading a mix of front-end and full-stack engineers.Scaling: Proven experience scaling engineering teams from 10 to 30+ engineers.Product & Domain Fit:A track record building and scaling consumer-facing products, ideally taking early-stage products from 0→1 through scale. Scope- and impact-driven over team-size-driven.Genuine excitement for product-led growth and putting AI to work in a real product.Systems at scale: Experience designing scalable, distributed, customer-facing systems, ideally in a SaaS environment.Collaboration: Strong ability to align technical strategy with company growth objectives across product, engineering, and go-to-market partners.Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.Local Pay Range$222,000—$300,000 USD

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