
Databricks · Singapore
CSQ327R54 At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us wi...
At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our
customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine
learning landscape for leading Fortune 500 organizations.
Professional Services Delivery Partner Manager supports the mission of the Professional Services team, which is to accelerate and
de-risk our customers' business outcomes through effective enablement and delivery of Databricks platform technology. This is an
individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with
key system integrators to effectively co-deliver Databricks services engagements.
project outcomes.
(RSIs), regional Partner team to support bi-directional pipeline review and bi-directional engagements (subcontracting, and
advisory) for company priorities.
scorecards to supplement partner selection with a data driven approach.
scorecards and feedback loops to segment partners by focus areas, regions and company priorities.
global programs to measure partner quality such as CSAT, Partner Survey and program governance.
channel teams to enable GSIs, RSIs, SIs on Assurance services, and support bi-weekly reviews and deal governance
to achieve Databricks projects following best practices. Champion and provide thought leadership for specialization programs.
You will implement and lead programs for achieving requirements and exceeding delivery quality.
across Databricks customer deliveries.
ensuring partner resource availability in a timely manner to support Databricks services opportunities.
and working with the partner closely to ensure project success.
negotiations
and driving engagements with large IT organizations with a focus on managed or professional service delivery
requirements as they relate to technology.
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.
CSQ327R142 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. * Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. * Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. * AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. * Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. * Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. * Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. 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.
CSQ327R198 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. * Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. * Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. * AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. * Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. * Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. * Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. 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, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale. ABOUT THE ROLE: As a Sr Partner Delivery Success Manager at Parloa, you will own and scale strategic relationships with our global SI, consulting, and implementation partners, ensuring they are equipped to successfully deliver transformative AI and customer experience solutions for enterprise customers. This is a highly cross-functional role sitting at the intersection of partnerships, enterprise delivery, and AI transformation. You will act as the strategic advisor and operational lead for a portfolio of partners, helping them build scalable Parloa practices, drive successful customer outcomes, and expand their long-term impact within the Parloa ecosystem. You will work closely with Partner Managers, Account Executives, Solution Engineers, Customer Success, Professional Services, and Product teams while engaging directly with partner executives, delivery leaders, architects, and project teams. This is your opportunity to shape how enterprise partners adopt, scale, and operationalize agentic AI solutions while helping define and mature Partner Success at one of the fastest-growing AI companies in the world. AREAS OF OWNERSHIP: * Own a portfolio of strategic Parloa partners, driving both partner maturity and successful customer delivery outcomes * Build trusted relationships with partner executives, practice leads, delivery managers, architects, and customer stakeholders * Act as a strategic advisor to partners on building and scaling their Parloa services practice, including delivery methodologies, organizational structure, certifications, and go-to-market motions * Guide partners through complex enterprise AI and CX transformation programs, ensuring high-quality execution and measurable business impact * Partner with Account Executives and Partner Managers to support strategic deals, validate delivery approaches, and align implementation strategies * Monitor partner-led customer implementations, proactively identifying risks, managing escalations, and driving successful project outcomes * Drive operational rigor across partner engagements, including governance structures, success metrics, delivery reviews, and executive business reviews * Ensure close alignment between partners and internal Parloa teams including Customer Success, Professional Services, Product, and Solution Engineering * Advocate for partners internally while maintaining accountability around delivery quality, certifications, customer outcomes, and operational standards * Identify opportunities to expand successful partner initiatives across regions, business units, and enterprise accounts * Support the evolution of Parloa’s Partner Success function by helping define scalable programs, processes, playbooks, and operational frameworks * Stay current on Parloa’s platform capabilities, AI innovation, and enterprise CX transformation trends to guide partners effectively * Represent Parloa’s leadership in agentic AI and enterprise customer experience transformation during partner and customer engagements WHAT SUCCESS LOOKS LIKE * You build trusted, strategic relationships with partner executives and delivery leaders, helping them successfully scale their Parloa practice and deliver measurable customer impact * Partner-led enterprise implementations consistently launch successfully, with strong delivery quality, proactive risk management, and clear alignment across customers, partners, and internal teams * You operate as the central point of coordination across Sales, Customer Success, Professional Services, and partners, driving accountability, operational clarity, and long-term value realization * You identify and unlock growth opportunities by helping partners expand successful AI and CX initiatives across additional business units, regions, and enterprise use cases WHO YOU ARE: * You bring 6+ years of experience in enterprise SaaS, consulting, partner management, customer success, professional services, or strategic delivery roles * You have experience working with or alongside global systems integrators, consulting firms, implementation partners, or enterprise delivery organizations * You have a proven track record of managing complex enterprise engagements and driving measurable customer outcomes through partners * You have a strong background in Professional Services, Partner Success, enterprise consulting, or customer delivery organizations * You understand enterprise delivery models, implementation methodologies (SAFe Agile, waterfall, etc.), project governance, and services organizations * You are comfortable navigating highly cross-functional environments and aligning internal and external stakeholders around shared goals * You have strong executive presence and can confidently communicate with partner leadership, customer executives, and technical teams alike * You bring operational rigor, strong ownership, and attention to detail while thriving in fast-moving, ambiguous environments * You are highly collaborative and proactive, with the ability to influence without direct authority * You are comfortable balancing strategic relationship management with hands-on execution and operational problem solving * You have strong communication and presentation skills, including the ability to lead executive reviews and facilitate complex discussions * You have exposure to AI, cloud, automation, data platforms, or enterprise technology ecosystems, and can connect technical capabilities to measurable business impact * You understand AI, automation, enterprise software, or customer experience technologies and can translate technical concepts into strategic business value NICE TO HAVE: * Experience working with conversational AI, CCaaS, enterprise automation, or customer experience platforms * Experience supporting multi-region enterprise accounts and global delivery programs * Familiarity with partner ecosystem models including sourced, influenced, and co-delivery motions * Experience building or scaling partner programs, enablement frameworks, or delivery methodologies OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Case Study & Stakeholder 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. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package. Salary Range $120,000—$150,000 USD ---------------------------------------------------------------------------------------------------------------------------------- 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.