Databricks

SLSQ327R366 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have • Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. • Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. • Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. • Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. • Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. • Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. • Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. • Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: • Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. • Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: • Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. • Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. • Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. • Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for • Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. • Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. • Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. • Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). • Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. • Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. • Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. • Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. • Bachelor’s degree or equivalent practical experience. Preferred qualifications • Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. • Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. • Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. • Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. • Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. • Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R104 Solutions Architect Israel The location for the role should be in the Tel Aviv region (i.e. within a commutable distance for a hybrid schedule). The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Fluency in both Hebrew and English • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: • Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. • Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems • Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains • Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks • Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: • 7+ years of hands-on industry ML experience in at least one of the following: • ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. • AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI • Experience with data engineering, or a good understanding of the concept of data engineering • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike • Passion for collaboration, life-long learning, and driving business value through ML & AI • [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role • Can meet expectations for technical training and role-specific outcomes within 3 months of hire • Fluency in Hebrew and English • Location: Tel Aviv area, with commutable distance to the Databricks office in Herzliya About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R17 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Strategic Enterprise Account Executive to join the team in Israel to maximise the phenomenal market opportunity that exists for Databricks. As a Strategic Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Senior Director, Enterprise Sales, Israel. The impact you will have: • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals • You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform • You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement • You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: • Extensive experience selling complex solutions to Enterprise Customers • You will have experience managing and leading complex, federated sales campaigns in major accounts • You will have experience working in Data, Cloud industries with some technical sales experience • Proof of exceeding sales quotas in high-growth Enterprise software companies • You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) • Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting • Bachelor's Degree or relevant work experience • Fluent Hebrew and business English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.