Leads product security architecture and builds security-critical services, frameworks, and controls across engineering teams. The role requires 10+ years of software engineering experience, deep expertise in secure distributed systems, and strong cross-team technical leadership.

Leads company-scale search signals programs spanning offsite data, content understanding, relevance, and AI adoption. The role requires 10+ years of technical or analytical experience, strong cross-functional influence, and expertise in search, recommendation systems, ML/AI, data integration, and AI governance.

Leads company-wide measurement strategy, causal inference, experimentation governance, and strategic modeling for executive decisions. Requires 8+ years in data science or a quantitative discipline, advanced statistical expertise, and strong communication with senior stakeholders.

Leads architecture and delivery of secure, highly available backend services for an identity-aware gateway connecting enterprise AI agents to authorized tools and data. Requires 7+ years of distributed backend experience, production Java or Go, and deep OAuth, OIDC, and token-exchange expertise.

Leads the technical direction and development of large-scale, GenAI-powered recommendation and feed-ranking systems. Requires 10+ years of industry experience in relevance-driven products, deep expertise in machine learning and recommendations, and strong organizational influence and mentoring skills.

Leads end-to-end development of production algorithmic systems for healthcare, spanning machine learning, optimization, and LLM applications. The player-coach role requires 6+ years of industry experience, strong problem-solving and metrics judgment, and technical leadership of a small team.

Leads the Cloud Namespace lifecycle and capacity strategy for Temporal Cloud, shaping lifecycle APIs, tiered offerings, operational policies, and SLOs/SLAs. The role requires platform product leadership and strong systems thinking across reliability, performance, cost, and multi-tenant infrastructure.

Maintains Mozilla’s information security management system and leads ISO 27001 and SOC 2 compliance activities, including audit readiness, policy governance, remediation tracking, and stakeholder coordination. Requires at least five years in information security, GRC, or compliance and strong audit experience.

Build and operate ML infrastructure for autonomy teams, including training and deployment pipelines, model observability, inference serving, and compiler platforms across hardware targets. Requires a degree, 3+ years of relevant experience, Python proficiency, and distributed-systems expertise.

Leads technical strategy and architecture for high-scale financial-crimes screening, detection, investigations, and reviewer systems. The role requires 10+ years of software engineering experience, deep distributed-systems expertise, and strong cross-functional technical leadership.

Provides hands-on architectural leadership for strategic enterprise accounts, designing and implementing Databricks solutions across data engineering, analytics, machine learning, and GenAI. Requires 12+ years in data or technical architecture, strong customer-facing consulting experience, coding ability, and expertise with big data and cloud platforms.

Leads the operating model for global partner enablement, including governance, planning cadences, dashboards, automation, and cross-regional execution. Requires 10+ years in operational leadership and strong analytical, stakeholder management, and process improvement capabilities.

Leads end-to-end sales compensation administration, payroll submissions, SOX controls, exception management, and automation for a large payee portfolio. The role requires 10+ years of commissions operations experience, advanced Xactly and modeling skills, cross-functional influence, and practical AI deployment expertise.

Leads global payroll accounting operations, close processes, equity compensation accounting, compliance, automation, and a payroll accounting team. Requires 15+ years of accounting experience, significant payroll expertise, and CA/CPA certification.

Leads the technical strategy and development of large-scale systems that optimize multi-cloud infrastructure efficiency, automate cost governance, and improve resource utilization. Requires 9+ years building distributed systems and expertise across cloud platforms, containers, and high-throughput performance engineering.

Embeds with strategic customers to architect and deliver production-grade full-stack applications on the Databricks platform, spanning data engineering, AI/ML integration, and user-facing development. Requires strong software engineering breadth, enterprise delivery experience, and executive-level communication.

This role partners with account teams to architect and promote Databricks’ Lakebase transactional database product, driving adoption through customer strategy, demos, workshops, and technical leadership. It requires extensive OLTP expertise, customer-facing pre-sales experience, cloud proficiency, and strong SQL and Python skills.

Leads a professional services team delivering technical data-engineering projects and guiding customers through their Databricks journey. The role combines people management, customer escalation ownership, solution design, reusable tooling, and stakeholder partnership.

Leads a team of Delivery Solution Architects responsible for post-sales customer strategy, adoption, growth, and production delivery across Southern Europe and adjacent markets. Requires 10+ years in customer-facing work, leadership of consulting or architecture teams, cloud/data/AI expertise, and fluency in Italian and English.

Leads customer-facing architecture, consulting, and delivery of Databricks-based big data and AI solutions across cloud platforms. Requires extensive big data experience, independent architecture expertise, AI implementation experience, and strong Python or Scala skills.

Leads the architecture and development of large-scale, multi-cloud networking connectivity and observability platforms that support Databricks’ control and compute planes. The role requires deep distributed-systems expertise, extensive production experience in a major programming language, and technical leadership across teams.

Staff-level engineer building and operating high-performance SQL drivers, connectors, and partner integration infrastructure for Databricks. The role requires 10+ years of production software engineering experience, strong architectural leadership, and open-source community engagement.

Leads Databricks’ energy-sector go-to-market strategy across EMEA, shaping AI vision for major energy companies, driving pipeline and adoption, and coordinating sales, product, marketing, and partnership teams. Requires 10+ years of energy leadership experience, substantial GTM or strategy experience, and deep energy-domain expertise.

Leads Databricks’ manufacturing and automotive go-to-market strategy across APJ, driving pipeline growth, customer adoption, executive engagement, and cross-functional commercial programs. Requires 10+ years of manufacturing leadership experience, including 5+ years in enterprise technology GTM, strategy, or business development.

Advises executives and account teams on complex, high-value data and AI platform opportunities across the APJ region. The role requires 10+ years of top-tier enterprise sales experience, strong executive presence, and the ability to accelerate deals while coaching field teams.

Leads a regional Data & AI technical solutions team supporting customer production workloads across APJ and EMEA. The role combines people leadership, customer-facing troubleshooting, data engineering expertise, and collaboration with product engineering to improve reliability and adoption.

Leads technical product strategy for OLTP databases or data governance, translating customer and field insights into product improvements, roadmaps, benchmarks, and adoption initiatives. Requires 5+ years of hands-on technical experience, strong Python and SQL skills, and expertise in relevant database or governance domains.

Leads the engineering team and cross-organizational initiatives responsible for secure, consistent Unity Catalog runtime enforcement across Databricks compute engines and clouds. The role requires extensive distributed-systems experience, security expertise, operational maturity, and technical leadership.

Build scalable backend infrastructure and products for the Databricks platform, including distributed services, cloud storage systems, data pipelines, and pricing infrastructure. Requires a bachelor's degree and 7+ years of production software engineering experience.

Build and operate scalable backend services, distributed systems, data pipelines, and cloud-storage platforms across Databricks’ data and AI infrastructure. The role requires 12+ years of production software experience, a computer science degree, and experience with large-scale systems and SaaS or service-oriented architectures.

Build large-scale backend infrastructure and data products for Databricks across areas such as log analytics, AI/BI, business semantics, and apps. The role requires staff-level software engineering experience, including 10+ years with Java, Scala, or C++ and expertise in distributed systems and cloud technologies.

Build scalable, customer-focused data and AI products across the full stack, spanning user experience, frontend architecture, server-side technologies, cloud platforms, and distributed systems. The role requires extensive experience with web technologies and modern JavaScript frameworks.

Leads the development of machine-learning search relevance systems, including query understanding, ranking, retrieval, and evaluation pipelines. The role requires 10+ years of search relevance experience and expertise in NLP, LLMs, or related discovery technologies.

Leads the development of machine-learning search relevance systems, including query understanding, ranking, retrieval, and evaluation at scale. Requires 10+ years of search relevance experience and expertise in ML, NLP, or related discovery technologies.

Build customer-facing, self-serve workflows and modular UI experiences for the Databricks Control Plane. The role leads large-scale distributed product initiatives, partners cross-functionally, and mentors engineers while requiring 10+ years of industry experience.

Designs and builds next-generation database query engines and structured storage systems, spanning query optimization, distributed execution, vectorized processing, and storage optimization. The role requires 7+ years of related systems experience and includes technical leadership and mentoring.

Build scalable, secure backend services and client libraries for Databricks’ data platform, working across distributed systems, cloud storage, and service-oriented architectures. The role requires a bachelor’s degree and 8+ years of production software engineering experience.

Leads search quality for AI-agent retrieval and human search experiences, optimizing hybrid retrieval, ranking, relevance metrics, and evaluation frameworks. The role requires expertise in information retrieval, embeddings, Elasticsearch or Lucene, and RAG.

Owns search quality across hybrid retrieval systems serving AI agents and human users. The role focuses on ranking, relevance evaluation, embeddings, and grounding RAG outputs across heterogeneous enterprise data.

Build and evolve distributed data infrastructure across storage and query systems, from design through production rollout. The role requires 8+ years of production experience in Java, Scala, or C++, plus strong knowledge of databases, distributed systems, and big data.

Leads the architecture, development, optimization, and reliability of large-scale distributed backend systems processing substantial data volumes. The role requires 15+ years of industry experience, deep systems expertise, cross-team technical leadership, and strong mentoring skills.

Leads the design and operation of Databricks’ large-scale Data Intelligence Platform, including metrics stores, ETL frameworks, multi-cloud pipelines, governance, and infrastructure tooling. Requires extensive industry experience, distributed-systems expertise, and technical leadership across complex data infrastructure initiatives.

Leads development of Lakeflow Connect’s large-scale data ingestion systems, applying database internals expertise to incremental capture and log parsing. The role requires 15+ years building distributed systems, strong algorithms and data structures knowledge, and technical leadership across complex initiatives.

Builds large-scale distributed backend infrastructure for the Databricks platform, including cloud-agnostic abstractions and developer productivity tooling. The role requires 8+ years of software development experience, backend programming expertise, and leadership across architecture, delivery, and operations.

Build large-scale backend infrastructure and distributed services for Databricks’ data and AI platform. The role requires a bachelor’s degree and extensive production experience with a major programming language and distributed systems.

Leads development of Money systems governing usage, billing-related infrastructure, and resource governance across Databricks products. The role requires 12+ years of production software experience, distributed-systems expertise, cloud technologies, security experience, and cross-functional technical leadership.

Build and lead backend networking infrastructure services connecting Databricks’ control and compute planes across large-scale, multi-cloud distributed systems. The role requires extensive networking experience and 12+ years of production software development experience.

Leads end-to-end product management for the Databricks Runtime team, shaping strategy, roadmaps, customer requirements, and launches. Requires 6+ years of product management experience, cloud infrastructure knowledge, SQL and operational data analysis skills, and a bachelor's degree.

Leads architecture, development, optimization, and operation of highly scalable distributed backend systems processing massive data volumes. The role requires 15+ years of experience, deep systems expertise, technical leadership, cross-team influence, and mentorship.

Leads architecture, development, and operation of highly scalable backend distributed systems, while driving technical direction, production reliability, cross-team initiatives, and mentorship. The role requires 15+ years of experience building and supporting large-scale systems.