FEQ227R193

Global GTM Strategy and Scale Architect

The Impact You Will Have

Databricks is entering entirely new markets, e.g. cybersecurity with Lakewatch (an open, agentic SIEM), agentic AI infrastructure, and more categories on the horizon. Each new product means the field needs to learn a new domain, a new competitive landscape, and a new set of customer conversations fast. This is a founding enablement role for Databricks' next wave of products. You won't be inheriting a playbook, you'll be writing a new one, repeatedly, every time Databricks enters a new category. You will own the end-to-end enablement strategy that takes a product from "just announced" to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between Product teams building new categories and a global field of SAs, translating capabilities into customer outcomes, and representing the field-readiness voice in Product forums - where the narrative is unclear, where SAs stumble on positioning, where demos need to tighten before a brand-new category reaches the field.

What You'll Do

• Own the global GTM and enablement strategy for every new product category Databricks enters - from foundational knowledge through advanced competitive positioning against incumbents
• Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact
• Design and build demo environments and POC patterns that SAs can fork and customize for customer conversations - you're an architect, not a slide maker
• Partner directly with Product and Engineering leadership across new product lines to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
• Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up
• Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive. 
• Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation that same week
• Build AI-powered tools that make the field smarter: Glean agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
• Define and track KPIs that measure field readiness, and whether SAs are actually winning more Lakebase deals
• Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down
• Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment. 

What We Look For

• 8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement
• You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
• Demonstrated ability to go deep fast in unfamiliar technical domains - the "T-shaped" technologist who can become credible in a new technology one quarter and a new category the next
• Builder mentality: you default to building tools, demos, and automations - not decks. You use AI tools as a daily force multiplier, not a novelty
• Demonstrated ability to build enablement programs from scratch (0-to-1) - not just iterate on existing content. You see a blank page as an opportunity, not a problem
• Strong product instinct: you can look at a feature roadmap for a brand-new category and immediately see how it maps to customer use cases and competitive differentiation
• Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content
• The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence
• Scaling mindset: everything you build needs to work for a global technical field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery
• Exceptional communication skills - you can make complex technical concepts accessible to a broad audience, from SAs to C-Suite

Nice to Have

• Experience at a high-growth infrastructure company during a major product launch
• Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle
• Hands-on experience with Databricks or competitive platforms 
• Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)
• You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible

At Databricks, we are building the world’s best data and AI infrastructure platform so our customers can solve the world’s toughest problems. Founded by engineers and deeply customer-obsessed, we take on hard technical challenges across the stack — and we’re only getting started.

The Spark Platform organization builds the core technologies that power Databricks and the Apache Spark ecosystem. Spark Connect is a critical component of Databricks Serverless and a strategic open source investment that shapes the future developer experience of Spark.

We are looking for an Engineering Manager to lead the Spark Connect team. This leader will own the Databricks Spark Connect platform, drive reliability and execution for a critical Serverless component, and lead our open source Spark Connect strategy in Apache Spark. This includes owning the OSS roadmap, partnering across teams, and driving adoption of Spark Connect in the open source ecosystem.

The impact you will have

• Lead the team responsible for Spark Connect, a critical component of Databricks Serverless.
• Own platform reliability, scalability, and operational excellence.
• Drive Databricks’ technical leadership in open source Spark Connect.
• Define and execute the strategy for OSS Spark Connect adoption and ecosystem growth.
• Partner across product, runtime, serverless, and OSS stakeholders to shape roadmap and architecture.
• Hire and grow a strong engineering team with high technical and operational standards.

What we look for

• 10+ years of experience in distributed systems, infrastructure, or data platforms.
• 3+ years of experience managing high-performing engineering teams.
• Strong technical depth and a track record of owning critical production systems.
• Experience leading cross-functional initiatives and influencing technical direction.
• Passion for open source, developer platforms, and large-scale systems.

CSQ227R234

About the Role

*This role is required to work in a hybrid office setting in our Bellevue, WA office.

The Opportunity

Databricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.

This isn’t a sales or business development role — every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.

You’ll manage a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.

What You'll Do

• Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.
• Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress.
• Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.
• Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.
• Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.
• Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide your priorities.
• Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

What You Bring

• 2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred.
• Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).
• Confidence delivering introductory technical content to non-expert audiences.
• Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases.
• Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.
• A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts.
• Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.

Bonus Points

• Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).
• Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).
• Exposure to Databricks Apps, REST APIs, or AI agent concepts.
• Experience in a role with enablement or training-related revenue metrics.

Why This Role, Why Now

New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users — business analysts, app builders, domain experts — needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.

CSQ227R5

About the Role

*This role is required to work in a hybrid office setting in our Bellevue, WA office.

The Opportunity

Databricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.

This isn’t a sales or business development role — every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.

You’ll manage a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.

What You'll Do

• Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.
• Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress.
• Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.
• Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.
• Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.
• Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide your priorities.
• Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

What You Bring

• 2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred.
• Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).
• Confidence delivering introductory technical content to non-expert audiences.
• Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases.
• Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.
• A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts.
• Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.

Bonus Points

• Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).
• Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).
• Exposure to Databricks Apps, REST APIs, or AI agent concepts.
• Experience in a role with enablement or training-related revenue metrics.

Why This Role, Why Now

New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users — business analysts, app builders, domain experts — needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.

RDQ127R9

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS or higher degree in Computer Science or a related field.
• 9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions

P-1413

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more!  

We're seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production!

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

• You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing.
• You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
• You will build processes to implement product vision and strategy, according to organizational goals and priorities.
• You will build software that is not just high quality, but easy to operate.
• You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

What we look for:

• 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications
• 2+ years leading and managing a high-performing engineering team.
• A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality
• Demonstrated ability to mentor, coach, and develop engineering talent at various levels
• Ability to drive technical initiatives that improve overall team efficiency and code quality
• Experience in setting and achieving ambitious team goals aligned with company objectives
• Strong track record of attracting, hiring, and retaining top engineering talent
• Experience managing distributed teams across multiple locations.
• Adaptability and resilience in a fast-paced, rapidly evolving tech environment