
Databricks · Singapore
CSQ427R211 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven en...
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most
ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time
intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will
lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering
with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the
lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and
customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical
solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent
deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that
ensures every engagement is executed with precision and measurable impact.
excellence and customer success across the ANZ FDE portfolio
position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
quality standards that scale with a growing RSA & AI Engineering practice
judgment to protect strategic relationships and drive resolution
career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth
professional services organisations—with a proven track record of building excellence-driven cultures
technical depth to coach and credibly support senior practitioners
industries such as Finance, Healthcare, Retail, Telco, or Energy
environments and influencing at the C-suite level
Databricks or a direct competitor is highly valued
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.
REQ ID: CSQ427R209 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. THE IMPACT YOU WILL HAVE: * Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. * Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. * Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. * Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. * Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. * Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. WHAT WE LOOK FOR: * 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. * 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy. * Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. * Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. * Ability to travel to customer sites and Databricks offices approximately 20% of the time. 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.
ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: As a Manager, Forward Deployed Engineering at Parloa, you’ll be on the front lines of enterprise AI adoption — leading a high-impact team of FDEs that delivers our most strategic enterprise deployments. Your mission is to ensure our consistent deployment excellence: predictable delivery, strong engineering quality, and fast unblocking in complex enterprise environments — while staying technically credible yourself. FDEs are our in-field engineers. They build what doesn’t exist yet, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. As a Manager, you make that work repeatable and reliable across multiple customer projects — through strong delivery leadership, clear priorities, and hands-on technical guidance. AREAS OF OWNERSHIP: * Lead and develop the team: hire, coach, and grow a team of FDEs; set clear expectations; run 1:1s, feedback cycles, and performance development. * Own capacity planning and staffing: allocate engineers across parallel strategic projects, manage load and utilization, and anticipate delivery bottlenecks early. * Drive project delivery management: own engineering delivery across deployments — milestones, dependencies, risk management, escalation paths, and stakeholder alignment. * Establish time tracking and delivery visibility: implement lightweight tracking and reporting that creates trusted insight into effort, progress, and capacity (without bureaucracy). * Provide technical leadership and escalation support: guide architecture and implementation choices, review designs/code when needed, and unblock high-severity issues in production environments. * Create scalable field engineering practices: build reusable patterns, playbooks, and standards that improve reliability, maintainability, and speed across deployments. * Shape the product via field learnings: translate recurring customer needs into clear productization proposals and partner with Product/Core Engineering to reduce one-offs over time. * Partner with customer engineering and enterprise stakeholders: collaborate directly with customer teams (architecture, security, platform) to deliver outcomes and build long-term technical trust. OUR TECH STACK: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP WHO YOU ARE: * Experience level: 8+ years in software engineering, systems integration, DevOps, or data engineering roles with meaningful production responsibility. * People leadership: proven ability to lead and develop engineers (e.g., formal management, team lead responsibility, coaching, hiring, performance growth). * Enterprise delivery track record: demonstrated success delivering complex technical projects in large enterprise environments with multiple stakeholders and constraints. * Technical breadth and depth: strong capabilities across backend engineering, APIs, cloud platforms, Kubernetes, infrastructure-as-code, and databases — able to review designs and guide production decisions. * Hands-on effectiveness: able to personally own and drive smaller technical workstreams end-to-end and to jump into debugging/implementation when necessary. * Operational excellence: strong planning, prioritization, capacity thinking, and risk management; creates delivery clarity without unnecessary process overhead. * Customer-facing communication: confident and credible with customer engineering teams and senior technical stakeholders; clear written and verbal communication. * Strong plus: experience building or integrating AI/LLM-powered systems (agent workflows, orchestration, evaluation, vector DBs, guardrails), ideally in forward-deployed or solutions engineering environments. OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Req ID: CSQ327R55 2 x New roles Location: Remote - France Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. THE IMPACT YOU WILL HAVE: * Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio * Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics * Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice * Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution * Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth WHAT WE LOOK FOR: * People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures * Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors * Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued 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.