
Databricks · United States
CSQ327R64 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers for successful...
The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and
customers for successful implementation and value realization. You will independently lead large, complex, cross-functional
programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.
stakeholders.
pulling in best practices for Centers of Excellence (CoEs) and migrations.
targets.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and
represents the expected base 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 anticipated 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.
Zone 1 Pay Range
Zone 2 Pay Range
Zone 3 Pay Range
Zone 4 Pay Range
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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. Zone 1 Pay Range $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Chief Business Officer organization plays a pivotal role in driving the company’s growth and expansion efforts worldwide. Our teammates work on commercializing Airbnb’s new and existing businesses, helping Airbnb expand beyond its core offering as a place to stay. This includes expanding into a highly fragmented, travel-adjacent services market to address key guest needs for convenience and make travel more memorable. With this focus on business strategy and expansion, the team is leading the way for Airbnb’s continued growth. The Difference You Will Make: As a Sr. Programs & Business Operations Lead, you will play a pivotal role in driving the global expansion of Airbnb’s Services business, with a focus on emerging service categories. You will co-develop and execute strategies that take new travel-adjacent categories from concept to launch and scale. By partnering across cross-functional teams and leveraging deep analytical rigor with operational excellence, you will build the programs, processes, and business frameworks needed to make these new services a part of every traveler’s journey. A Typical Day: * Strategic Planning & Program Execution: Develop and implement end-to-end program plans for the launch and scaling of new service categories. Drive go-to-market planning and execution across geographies, ensuring operational readiness and alignment with business objectives. * Cross-Functional Alignment & Coordination: Serve as a connective leader across Business Operations, Market Management, and Product Pods. Drive alignment among engineering, design, marketing, and legal teams toward shared targets, often without direct authority, by building strong relationships and leveraging strategic insights. * Analytics & Performance Management: Leverage advanced analytical skills, including writing SQL queries, to independently extract insights from raw data. Build financial models, size market opportunities, and establish rigorous KPIs (e.g., revenue, conversion, quality) to inform fast, test-and-learn iterations and drive data-driven decision-making. * Supply Strategy & Partner Operations: Evaluate and execute supply sourcing strategies for emerging categories, assessing whether to acquire supply through individual local hosts or by structuring partnerships to accelerate time-to-market and scaling. * Operational Excellence & Process Improvement: Build the operational foundation required to scale new service categories. Identify bottlenecks in the funnel, develop contingency plans for risks, translate local market feedback into scalable requirements, and continuously improve processes and systems for efficiency. Your Expertise: * Experience: 12+ years of experience in business operations, program management, or strategy roles within high-growth businesses. Demonstrated ability to build and scale new businesses or programs, with a proven track record of driving cross-functional alignment. Marketplace experience, particularly within a digital company, is preferred. * Strategic & Operational Execution: You are a builder. You possess the ability to not just draft a strategic playbook, but to operationalize the plan; standing up programs, building processes, and driving execution in complex global markets. * Analytical & Strategic Skills: Highly analytical and data-driven. SQL proficiency is required. Ability to independently pull data, run complex analyses, distill insights, and translate them into clear, actionable business strategies and plans. * Communication & Leadership: Exceptional communication and relationship-building skills. Demonstrated ability to influence executive leadership and drive accountability across diverse, cross-functional teams. * Cross-Functional Collaboration: Expertise in driving collaboration across diverse teams, fostering transparency, accountability, and a unified vision. * Adaptability & Innovation: Comfortable navigating ambiguity and fast-paced environments. A strategic thinker with the creativity to design novel business models, incentive structures, and operational frameworks. * Process Improvement: Capable of developing tools and systems to enhance processes, interpreting business risks, and recommending best practices to drive operational efficiency at scale. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000—$249,000 USD
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. You will set the vision for how AI is embedded into the seller and GTM leader experience, while ensuring each team delivers against its own roadmap, outcomes, and success measures in service of broader fiscal-year strategic goals. WHAT YOU WILL BE DOING * Strategy & Leadership * Set the Field Technology & AI Vision: Define and own the strategy for how Elastic applies AI across the GTM ecosystem, aligning Engineering, Data Science, Customer Data Strategy, and Application Administration into a unified roadmap that aligns with RevOps and GTM strategic priorities. * Lead a Multi-Disciplinary Organization: Build, mentor, and lead an organization o across four functional teams, each with their own leaders, roadmaps, and outcomes. Set clear success measures, develop leaders, and create the framework for success * Drive AI Adoption Across GTM: Partner with senior GTM, Sales, Marketing, legal, IT, and Finance leaders to identify the highest-leverage GTM problems AI can solve, and lead those solutions from concept to adoption. * Measure & Communicate Impact: Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery. Regularly report progress, trade-offs, and business impact to executive stakeholders. * Operate as an Executive Partner: Serve as the senior technology voice within RevOps, translating GTM strategy into a technology agenda, and translating technology capability into GTM opportunity. * Execution & Delivery * Lead Four Functional Teams: Manage Engineering, Data Science, Customer Data Strategy, and Application Administration through their respective leaders. Set distinct roadmaps, success measures, and operating cadences for each team while ensuring their outputs combine into a single, coherent GTM technology portfolio. * Influence Beyond Your Org: Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT. Shape executive-level decisions on GTM priorities, secure cross-functional investment in your roadmap, and resolve trade-offs that span organizational boundaries. * Productize AI for GTM: Champion a portfolio of applied AI use cases, including account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics, and drive each from design, prototype, and ultimately to scaled adoption. * Govern the Technology Portfolio: Make principled build/buy/partner decisions across the GTM tech stack, balancing innovation speed with platform stability, cost, and long-term scalability. * Embed AI Responsibly: Establish the principles, guardrails, and review mechanisms that ensure AI is deployed at Elastic in ways that are accurate, explainable, secure, and aligned with company values. WHAT YOU BRING * Strategic Leadership & GTM Understanding * 12+ years of progressive experience in GTM technology, RevOps systems, data/analytics, or applied AI, including 7+ years in senior leadership roles managing multiple sub-functions and leaders-of-leaders. * Proven track record building or transforming a Field/GTM Technology organization in a global B2B SaaS environment, with measurable impact on pipeline, productivity, or revenue outcomes. * Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration, and creating an operating model that aligns them around shared outcomes. * Exceptional executive presence and communication skills, with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders, and to translate technical strategy into business outcomes. * Track record of building, developing, and retaining strong technical leaders and specialized individual contributors. * Technical Expertise & Execution * Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, sales engagement, CPQ, and the integration patterns that connect them. * Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, dbt, vector databases, LLM orchestration frameworks) and how they combine to deliver applied AI capabilities into operational workflows. * Experience operationalizing ML and GenAI use cases inside GTM systems, moving from model output to embedded, adopted, measurable seller and leader experiences. * Strong understanding of data governance, MDM, and the data quality foundation required to make AI trustworthy at enterprise scale. * Sound judgment on engineering practices, system architecture, vendor selection, and total-cost-of-ownership trade-offs. BONUS POINTS * Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches in a GTM or enterprise operations context. * Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases. * Experience partnering closely with central IT/Enterprise Data organizations to deliver shared outcomes across organizational seams. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $212,100—$335,600 USD The typical starting salary range for this role in the select locations listed above is: $254,900—$403,200 USD ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.