Manager, Field Engineering
Lead a diverse team of technical pre-sales Solutions Architects in Japan to drive growth through collaboration and innovation.
Posted by employer 2 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 19 hours ago
Skills & Technologies
What you'll build
- Lead a pre-sales team
- Support strategic enterprise customer engagements
- Establish best practices for team efficiency
- Build trusted relationships with customers
- Represent Databricks in regional leadership
Must have
- Proven experience leading technical teams
- Strong collaboration skills
- Excellent communication skills
- Technical background in Data Engineering or Data Science
- Fluent Japanese required
Nice to have
- Business-level English preferred
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Manager, Field Engineering at Databricks, the individual will oversee a team of pre-sales Solutions Architects, focusing on designing solutions that drive customer engagement and business growth. Key skills include a strong technical background in data engineering or cloud technologies, along with proven leadership and collaboration abilities. This position is ideal for someone with experience managing diverse teams in technical environments, particularly those with a passion for data and AI. The role also emphasizes fostering an inclusive team culture and building strategic partnerships.
Joblaze insights
- Listed 2 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 916 other open roles including Senior Payroll Analyst, Field Engineering Manager, Specialist Solutions Architects, Senior Support Engineer (GovOps) .
- 1495 active SaaS roles on Joblaze right now.
- 526 active Cloud roles on Joblaze right now.
- 248 active Data Science roles on Joblaze right now.
- Typical SaaS salary we track runs $115,000–$207,925 (median $151,500, across 636 roles). See SaaS salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Big Data, Cloud, Data Engineering, Data Science, SaaS.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager, Field Engineering role at Databricks.
From the original posting
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As a Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Japan 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. This role reports to the Technical GM – Japan.
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.
- Fluent Japanese required; business-level English strongly preferred.
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.