FEQ128R1
Location: Singapore
As the AI Product Specialist, you will be defining our technical go to market strategy and driving our AI product adoption in the Asia Pacific and Japan region.
You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.
You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.
You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.
You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.
The impact you will have:
- Lead the vision and strategy for AI products adoption in Asia Pacific and Japan
- Develop materials for our GTM team to effectively communicate our value proposition
- Support our field teams in key strategic pursuit opportunities
- Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
- Act as the thought leader to build confidence and relationships with our customers at the executive level
- Present externally at conferences, events and webinars and publish content to establish our position in the market
- Work with our FDE teams and partners to establish best practices
- Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion
What we look for:
- 6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
- Trusted advisor to technical executives that inform strategic data decisions
- Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
- Expertise in traditional Machine Learning methodologies and have deployed large scale production systems
- Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source)
- Proven track record of successful pre-sales experience in competitive situations
- Ability to define and executive strategic program cross functionally
- High impact communication internally and externally
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Skills Required
- 6+ years of experience in data science and machine learning
- 2+ years of experience in production generative AI
- Hands-on experience building solutions in AWS, Azure, or GCP
- Experience advising technical executives on strategic data decisions
- Experience co-planning large territories with Account Executives and coordinating cross-functional GTM and R&D efforts
- Expertise in traditional machine learning methodologies and deployment of large-scale production systems
- Deep understanding of LLM application architectures, including RAG, agentic systems, and fine-tuning
- Experience with LangGraph, LlamaIndex, AutoGen, or DSPy
- Knowledge of evaluation methodologies and foundational model markets, including Claude, Llama, Mistral, OpenAI, and open-source models
- Successful pre-sales experience in competitive situations
- Ability to define and execute strategic programs cross-functionally
- Strong internal and external communication skills
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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