Databricks Germany logo

Sr. Specialist Solutions Architect

Databricks Germany·Salary not specified

Primary stack

Machine LearningAI

Nice to have's

CommunicationSales

Job description

About the Position

Sr. Specialist Solutions Architect

Location: Singapore

FEQ128R1

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.


Responsibilities

  • Define and drive the technical go-to-market strategy for AI products in Asia Pacific and Japan.
  • Work directly with customers to guide and influence their data application architecture and decisions.
  • Present, demo, and pitch Databricks AI/ML product suite.
  • Act as a trusted advisor for senior executives and ensure customer success in leveraging Databricks.
  • Support field engineering teams internally and help them understand the key differentiators of our product.
  • Partner with product managers to define product direction based on local knowledge.
  • Recruit and lead a group of specialists to scale your impact.
  • Act as a thought leader externally through conferences, webinars, and blog posts.
  • Communicate the vision and gather feedback from customers.

Requirements

  • 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).
  • Proven ability to act as a trusted advisor to technical executives.
  • Experience in co-planning large territories with Account Executives.
  • Expertise in traditional Machine Learning methodologies and large-scale production systems.
  • Deep understanding of LLM application architectures, agent frameworks, and foundational model markets.
  • Proven track record of successful pre-sales experience in competitive situations.
  • Ability to define and execute strategic programs cross-functionally.
  • High-impact communication skills internally and externally.

Nice to Have

  • Experience in strategic program execution.
  • Strong pre-sales experience.

We Offer

  • Opportunity to work with a leading Data and AI company.
  • Comprehensive benefits and perks.
  • Commitment to diversity and inclusion.
  • Equal employment opportunity.

About the Company

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.

© Databricks Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Popular searches