
Databricks · Munich
FEQ427R180 The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, ope...
The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape
how they build, operate, and scale for years to come. This creates a significant opportunity to help customers turn data and AI
investments into measurable business outcomes.
This role combines people leadership, business ownership, and executive engagement. You will operate as a player-coach in key
deals while building a high-performing, scalable field-engineering organisation for a consumption-based business.
You report to the Director, Field Engineering.
coaching, performance management, and career development, and owning coverage across your account portfolio.
customer adoption.
artefacts, and coaching mechanisms that scale impact across the team.
excellence.
business model.
consumption outcomes (onboarding readiness, adoption milestones, expansion path).
Germany.
or technical leadership roles.
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.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. You will work remotely from Germany and will be reporting to Sr. Director, Engineering You Will: * Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. * Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. * Architect multi-agent solutions selecting the right coordination pattern for each customer's workflow characteristics and compliance requirements. * Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. * Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn't done. * Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria. * Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements. * Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. You Have: * 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript. * Proven track record leading complex enterprise technical engagements. You've managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. * Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. * System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer. * Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects. * Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio. * You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you. * Ability to travel. This role requires domestic and international travel approximately 25–50% of the time. * Eligible to work in Germany on an ongoing basis. * Fluency in English is required. * BS or MS in Computer Science, a related field, or equivalent industry experience. Nice to Have: * Experience founding or scaling an FDE/solutions engineering function. * Technical founder background. Databricks, AWS Bedrock, or Temporal experience. * Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). * Proficiency in German/French language will be an added advantage. * Familiarity with AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act). Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity. DE Base Salary Pay Range €87,500- 112,500€ EUR Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote
FEQ327R192 As a Manager, Field Engineering (Data & AI), you will lead a team of Solutions Architects focusing on large & strategic customers in India. You will help lead our team in India expansion, you will build and lead a technical pre-sales team. You will guide and get involved to enhance your team's effectiveness; be an expert at positioning and articulating business-value-focused solutions to our customers and prospects; whilst coaching new sales and pre-sales team members to work together, support various stages of the sales cycles; and build relationships with key stakeholders in large corporations. The impact you will have: * Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data & AI domain. * Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre. * Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture. * Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months. * Promote a solution and value-based selling field-engineering organisation. * Coach and mentor the Solutions Architect team to understand our customers’ business needs and identify revenue potential in their accounts. * Interface with leadership & C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account. * Build Databricks' brand in India in partnership with the Marketing and Sales team * Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation. What we look for: * 6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals * Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR * 6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science * Experience in scaling and mentoring field and technical teams managing both in-person and remote working models * Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models * Knowledgeable in Apache Spark™ / Databricks ecosystem 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.
FEQ427R257 As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Asean region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation. You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders. The impact you will have: * Lead, mentor, and support a high-performing, inclusive pre-sales team * Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity. * Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions. * Establish best practices that improve team efficiency, collaboration, and business impact. * Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey. * Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience. * Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture. What we’re looking for: You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply. * Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work. * A track record of coaching and developing diverse, high-performing teams. * Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders. * Excellent communication and interpersonal skills * Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred). * Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes. 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.