About The Role 

As a Technical Account Manager, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.

In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.

What You’ll Do

• As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
• You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
• From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
• Provide customers with clear proactive technical guidance and expertise across all our products
• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
• Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level

What We're Looking For

• 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
• Excellent project management and communication skills
• Proven ability to quickly learn new technologies and understand complex systems (SQL, databases, APIs, reporting tools, etc.)
• Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
• Ability to collaborate cross functionally with different teams and types of people
• Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease

This role requires a strong blend of technical expertise, customer-facing acumen, and solution-oriented problem solving. The Data AS Consultant will work closely with Sales & Account Managers to provide technical leadership and solution design for highly consultative enterprise projects. It is a revenue-generating pre-sales position focused on enabling technical adoption and driving customer success for both new and expansion opportunities.

This role reports directly to the Team Manager, DSI, with a dotted line to the Regional Head of Japan.

Responsibilities

Technical Consultation & Solution Design

• Serve as a trusted technical advisor to enterprise customers, translating business goals into scalable, production-grade technical architectures.
  
  
• Design and document data integration architectures leveraging Similarweb’s APIs, DaaS feeds, and platform products to meet enterprise data requirements.
  
  
• Architect end-to-end data delivery pipelines into client ecosystems (e.g., Snowflake, Databricks, S3, or Google Cloud Platform).
  
  
• Provide technical workshops and POCs, guiding clients on ingestion, normalization, and querying best practices.
  
  
• Develop Statements of Work (SOWs), technical proposals, and detailed integration documentation to accelerate collaboration between internal teams and customers.
  
  

Technical Skill Execution Examples

1. Integration & Data Delivery
   
   
• Role: Design and implement integration workflows delivering Similarweb’s data via API, S3, Snowflake, or GCP Storage, tailored to customer infrastructure.
  
  
• Technical Skills:
  
  
• Advanced SQL querying and performance tuning in Databricks / Snowflake
  
  
• Proficiency with data file formats (CSV, JSON, Parquet, Delta) and understanding the trade-offs between performance, compression, and schema evolution
  
  
• Strong knowledge of ETL design, data governance, and access control
  
  
• Outcome: Clients understand technical feasibility and best practices for incorporating Similarweb data into their analytical stack.
  
  
2. Data Quality, Coverage, and Scalability
   
   
• Role: Explain how data is collected, validated, deduplicated, and scaled across geographies and verticals, referencing internal reruns and benchmarks.
  
  
• Technical Skills: Understanding of data validation, sampling frameworks, distributed storage performance, and data versioning (e.g., Delta Lake advantages).
  
  
• Outcome: Clients gain trust in data quality and scalability across enterprise-grade analytics environments.
  
  
3. Data Sampling & Proof-of-Concept Delivery
   
   
• Role: Generate and deliver custom data samples aligned with client use cases, whether via API queries, Parquet exports, Delta tables, or CSV snapshots.
  
  
• Technical Skills:
  
  
• Hands-on data extraction and transformation using SQL and Python
  
  
• Preparing data in optimal formats (e.g., Parquet v Delta)
  
  
• Managing delivery through multiple mechanisms: secure S3 share, Snowflake Data Share, API endpoints, or CSV download portals.
  
  
• Outcome: Clients can validate data structure, schema, and use-case fit before full-scale adoption.
  
  
4. Use Case Customization & Advanced Analytics
   
   
• Role: Demonstrate how Similarweb data can be enriched with client datasets (POS, CRM, or loyalty).
  
  
• Technical Skills: SQL and Python for data joins, REST and GraphQL APIs, JSON schema design, and familiarity with Model Context Protocol (MCP) for LLM integrations.
  
  
• Outcome: The client sees practical, technically sound pathways to integrating Similarweb data into their own analytical models and AI workflows.
  
  

Collaboration with Sales & Customer Teams

• Partner with Enterprise Sales Managers to qualify and design technical solutions during the sales process.
  
  
• Work with Enterprise Account Managers to drive expansion and deepen platform adoption through technical enablement.
  
  
• Collaborate closely with Customer Success and Delivery teams to ensure smooth technical transitions from pre-sales to production.
  
  
• Create reusable demos, templates, and data delivery playbooks for use across GCR teams.
  
  
• Participate in strategic account planning and contribute feedback to product and data engineering based on customer needs.
  
  

Market & Product Expertise

• Stay up to date with AI/LLM data standards, data engineering best practices, and cloud-native architectures.
  
  
• Provide feedback to product and data engineering on API performance, schema design, and data format optimization.
  
  
• Maintain familiarity with Model Context Protocol (MCP), OpenAPI, and emerging standards for data interoperability and contextual AI integrations.
  
  

Project Support & Technical Governance

• Lead technical scoping and architecture reviews during the pre-sales phase.
  
  
• Oversee sample generation, performance validation, and schema testing.
  
  
• Provide escalation support on data performance, pipeline reliability, and delivery troubleshooting.
  
  
• Ensure solutions align with data security, privacy, and compliance best practices.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
  
  
• 5+ years in pre-sales, solution architecture, or data consulting, with a strong focus on technical delivery.
• Technical Expertise:
  
  
• Data Architecture & Integration: Deep understanding of cloud ecosystems (AWS, Azure, GCP) and data warehousing frameworks (Snowflake, Databricks, Redshift).
  
  
• SQL & Data Modeling: Strong query and optimization skills for data analysis and transformation.
  
  
• APIs & Data Exchange: REST and GraphQL API fluency, JSON schema design, authentication (OAuth 2.0, JWT).
  
  
• File Formats: Deep understanding of CSV, JSON, Parquet, and Delta file formats—knowing when to use each for efficiency, scalability, or incremental updates.
  
  
• Data Sample Delivery: Ability to create, test, and deliver sample datasets across APIs, S3, and warehouse sharing mechanisms.
  
  
• MCP & AI Integrations: Awareness of Model Context Protocol, LLM context injection, and structured data retrieval patterns.
  
  
• Proven experience translating business requirements into technical solutions for large enterprise data ecosystems.
  
  
• Excellent communication and presentation skills—able to bridge the gap between technical and commercial teams.
  
  
• Fluent in Japanese and English (written and spoken) with experience serving enterprise clients.
• Strong problem-solving, self-management, and team collaboration skills.

The Opportunity:

We are seeking an experienced IT Leader to establish and oversee the set up and execution of all aspects of IT operations in Japan. This role will serve as the primary technology partner for business functions in Japan, also acting as the bridge between local stakeholders and global Information Sciences (IS) and Information Technology (IT) teams ensuring that IS/IT needs are met in alignment with global platforms, delivering end-to-end solutions for local implementation while driving operational excellence in IS/IT services. This leader may also help build and scale the IT function to other countries in the Asia Pacific region through a balanced model of internal team development and strategic vendor partnerships to deliver agile, high-quality support across the region.

Reporting directly to the President & Representative Director, Japan, this individual will collaborate closely with country and regional leaders as well as global Information Sciences and Information Technology (IS/IT) partners. The role also dotted-line reports to the VP, Commercial & Medical Affairs Information Systems. The position requires versatility—balancing the establishment of local capabilities with the development of scalable solutions that integrate seamlessly into global frameworks.

Commercial and Medical Affairs Systems

• Serve as the primary liaison between Japan and global Information Systems teams, fostering cross-functional collaboration while maintaining data governance and separation of processes.

• Partner with business leaders to develop prioritized roadmaps and capture requirements, ensuring alignment with global IS/IT platform roadmaps while tailoring solutions to country/regional needs.

• Act as an effective liaison by proactively communicating priority needs for the APAC/Japan region and working closely with other regions to align on shared priorities, expectations, and consistent working norms.

• Support rollout, localization, and adoption of global platforms (e.g., CRM, digital engagement, Omnichannel marketing, medical information, medical content management, field engagement tools).

• Partner with local Commercial, Supply Chain and Quality teams to ensure IS/IT systems supporting product distribution, logistics, and product release operate reliably and comply with local regulatory standards.

• Oversee localization and validation of IS/IT systems to meet Japan-specific business and regulatory needs, including language, documentation, and integration with local platforms.

• Provide Tier 1–2 application support in partnership with global support teams, ensuring seamless end-to-end service delivery.

• Lead change management for new IS/IT systems, including user testing, training, communications, and stakeholder alignment to ensure successful adoption and continuous improvement.

Information Technology and Security

• Establish and manage relationships with local managed service providers and vendors.

• Collaborate with global IT infrastructure teams to ensure reliable and secure delivery of core IT services (network, hardware, collaboration platforms, endpoint management).

• Oversee system enhancements, integrations, and facilitate compliance with Japanese data production and pharmaceutical regulations, including pharmacovigilance, promotional review, and data privacy (APPI, PMD Act).

• Manage onboarding and offboarding processes, ensuring timely provisioning/deprovisioning of accounts and devices aligned with local and global IT policies and security standards.

• Ensure adherence to global IT service management and change control processes, including incident, request, and problem management, while coordinating escalations with global support teams.

• Partner with global Information Security teams to ensure adherence to enterprise security standards, policies, and regulatory requirements.

• Lead Japan-specific implementation and oversight of security controls—including identity and access management, data protection, compliance monitoring, cybersecurity training, audits, and incident response coordination with global security operations.

R&D Systems:

• Partner with global R&D IS to enable secure access to research and clinical platforms in compliance with regulatory requirements (GxP, CTMS, EDC, RIM, eCTD, PV safety database, etc).

Required Skills, Experience and Education:

• Bachelor’s degree (or equivalent).

• Minimum of 12 years of experience delivering technology services and support, including Commercial systems.

• At least 5 years of experience leading Japan IT activities within a life sciences organization.

• Proven leadership experience building and scaling IT teams in emerging country operations, including recruitment, performance management, and fostering a culture of accountability and continuous improvement.

• Hands-on knowledge of IT infrastructure, end-user services, and cybersecurity practices.

• Strong understanding of Commercial data ecosystems (CRM, digital engagement, social, and third-party sources) and their integration across platforms.

• Knowledge of master data management (MDM), data warehousing principles and technologies, and enterprise analytics environments (e.g., Databricks, Snowflake), supporting Commercial and Medical insights.

• In-depth knowledge of GxP systems, regulatory, compliance, and data privacy frameworks and processes.

• Experienced in leading organizational change for IT initiatives, driving user adoption through clear communication, stakeholder alignment, and compelling storytelling.

• Collaborative and effective in building rapport across global, regional, local, and functional teams.

• Comfortable with ambiguity and skilled at defining operating models, processes, and roles while simultaneously implementing capabilities.

Preferred Skills:

• Experience supporting pre-commercial or commercial launches in pharma strongly preferred.

• Familiarity with Omnichannel principles and technology platforms in life sciences.

• Experience with an Oncology launch is desired.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.

SLSQ127R139

As a Public Sector Account Executive – Japan, you will own strategic sales into Japan’s government and broader public sector, driving adoption of our data and AI platform across central ministries, local governments, and public institutions. You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Japan’s digital government and modernization initiatives.

The impact you will have:

• Own and exceed revenue targets by winning new public sector customers across Japan, including central ministries, local governments, government agencies, and public institutions.
• Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts.
• Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms.
• Proactively identify new AI and data use cases in government operations and feed these insights into Japan’s public sector go‑to‑market, influencing product direction and regional strategy.
• Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens.
• Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes.

What we look for:

• 8+ years of SaaS, cloud, AI, or big data sales experience in Japan, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach.
• Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers.
• Deep understanding of public sector priorities in Japan, including typical buying processes, buying cycles, decision‑making structures, and the broader ecosystem of partners that support government projects.
• Extensive experience with Japanese government procurement, including familiarity with budget formulation and execution, tender/RFP processes, evaluation criteria, and relevant compliance and security frameworks.
• Strong background in selling usage‑based PaaS/SaaS or data, AI, and ML solutions is highly preferred.
• Solid experience applying structured sales methodologies and processes (e.g., account planning, MEDDPICC, value selling, Command of the Message) to win complex, multi‑stakeholder deals.
• Proven track record of creating strong customer champions and leading collaborative internal and external teams to support implementation and expansion within strategic accounts.
• Clear understanding of how to build a focused partner strategy for the public sector and manage SI, cloud, and consulting partners to jointly win and deliver large, impactful projects.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

SLSQ427R271

Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Manufacturing industry go-to-market (GTM) motion across Asia Pacific and Japan (APJ). As a key member of our global industry GTM team, you will shape and drive how Databricks engages the industrial sectors in one of the world's most dynamic and complex regional markets.

This role reports to the Global GTM Head for Manufacturing, Transportation, and Energy, with deep day-to-day collaboration with APJ sales, field engineering, and GTM leadership. You will operate at the intersection of industry expertise, customer engagement, and commercial strategy - helping Databricks win in a market where data and AI are redefining how physical products are built, delivered, and optimized.

If you bring deep industry domain knowledge, a bias for action, and a proven track record of harnessing the transformative potential of data and AI to drive real business value - we want to hear from you.

Responsibilities:

• Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption
• Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs that convert market opportunity into revenue
• Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region — with particular focus on Japan, Korea, and India
• Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry 
• Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities
• Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights
• Travel regularly across the APJ region to support customer meetings, executive engagements, and industry events

Qualifications:

• Bachelor's degree in Business, Engineering, or a related field; MBA or equivalent post-graduate qualification strongly preferred
• 10+ years of leadership experience in the manufacturing sector, including at least 5 years in a GTM, strategy, or business development role within enterprise technology
• Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes
• Expert-level domain knowledge in one or more of the following areas: software-defined vehicles, industrial AI, agentic supply chain management, or AI-driven engineering and R&D
• Familiarity with key manufacturing and automotive industry standards bodies and frameworks across the APJ region
• Strong understanding of the modern data and AI technology landscape — and how it applies to manufacturing operations, quality, supply chain, and innovation
• Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization
• Track record of building trusted relationships with senior executives in a multilingual, multicultural market like APJ
• Exceptional communication skills — written and verbal — with the ability to translate technical and data concepts into compelling business narratives for executive audiences

CSQ227R164

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.

The impact you will have here:

• Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieve customer satisfaction by ensuring incidents or escalations (and related cases)  are well and fully documented with the timely execution of action items.
• Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

What are we looking for?

• A minimum of 8+ years of experience in customer support, escalation, SRE, or incident management is required.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
• Experience with a "Distributed big data Computing" environment,  SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
• Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
• Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field. 
• Written and spoken proficiency in both Japanese and English 

Req: CSQ427R98
Location: Tokyo, Japan

The Engagement Manager assures customer success by driving customer satisfaction throughout the customer success & services life-cycle for our customers, from orchestrating the engagement to successful delivery and beyond.

As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Customer Success, Support and Product Teams on campaigns, programs, and content. You will report to the Director, Professional Services.

The impact you will have:

• Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission
• Collaborate with the sales counterpart and engages early in the sales process to seek to understand our customer's needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions
• Identify opportunities for new services by understanding and addressing potential new use-cases and the ability to articulate the business value in the upsell, or extension of services
• Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets
• Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer
• Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary
• Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations

What we look for:

• Strong fundamental knowledge around Big Data Platforms Implementation from both the technology, operations, and security/governance lenses. Production level experience is preferred
• Proven experience in the following
  • Selling services offerings at either implementation, advisory, education, and change management capacity. 
  • Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution to both business and technology audiences
  • Consistent track record of identifying customer needs and successfully implementing solutions
  • Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology
• Strong problem solving skill about customer’s pain points by using modern technologies
• Excellence in presentation skills, providing proposals that enforces good project governance and drive scalable delivery practices to both internal and external executives. 
• High level orchestration skills to align both internal and external stakeholders when proposing large initiatives
• Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes
• Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor is highly preferred
• Bachelors degree in Computer Science or related educational background

Ultra Tendency is a global data and AI consultancy with teams across Europe, Asia, and the Americas. As we continue expanding our presence in Japan, we are looking for a Senior Data Engineer – Databricks to join our growing Tokyo team and contribute to the development of scalable data platforms for international clients. 

In this role, you will work closely with engineers, data scientists, and architects to design and implement robust data solutions using modern cloud and data technologies. 

Competitive compensation will be provided in line with the Japanese technology market, based on experience and qualifications. 

YOUR RESPONSIBILITIES 

• Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. 
• Develop and optimize batch and streaming data workflows supporting analytics, machine learning, and business intelligence applications. 
• Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready data solutions. 
• Improve performance and cost efficiency of data processing workloads within the Databricks environment. 
• Support the implementation of best practices for data quality, governance, and security. 
• Contribute to knowledge sharing within the team and support the development of junior engineers. 

YOUR EXPERIENCE 

• Strong experience with Databricks and Apache Spark (PySpark, SQL or Scala). 
• Experience building data platforms on major cloud providers (AWS, Azure, or GCP). 
• Solid understanding of distributed data processing, data modeling, and performance optimization. 
• Experience with CI/CD pipelines and version control tools such as Git. 
• Familiarity with orchestration frameworks such as Airflow or Databricks Workflows. 
• Strong communication skills in English and Japanese for collaboration in an international environment. 
• A collaborative mindset and interest in building reliable, scalable data systems. 

WHAT WE OFFER 

• Competitive salary aligned with Japanese market standards. 
• Hybrid work options, combining office and remote work (candidates must be based in Japan). 
• The opportunity to collaborate with experienced colleagues in an international engineering environment. 
• Exposure to large-scale data and AI projects for global organizations. 
• Professional development opportunities, including certifications and continuous learning resources such as Udemy Business. 
• Regular feedback cycles and structured performance reviews to support your career development. 
• A collaborative culture that values knowledge sharing and long-term professional growth. 
• Team events and opportunities to connect with colleagues globally. 

Interested? 

We would be happy to hear from you. Please apply or reach out if you would like to learn more about the role and our team in Japan. 

Ultra Tendencyは、欧州、アジア、南北アメリカにチームを擁するグローバルなデータ／AIコンサルティング企業です。日本での事業拡大に伴い、成長中の東京チームに加わり、海外クライアント向けのスケーラブルなデータプラットフォーム開発に携わっていただくシニアデータエンジニア（Senior Data Engineer）– Databricksを募集しています。 

このポジションでは、エンジニア、データサイエンティスト、アーキテクトと密に連携し、最新のクラウド／データ技術を用いた堅牢なデータソリューションの設計・実装を担当していただきます。 

給与は、日本のテクノロジー市場水準を踏まえ、経験・スキルを考慮のうえ、競争力のある条件をご提示します。 

業務内容 

• Databricks Lakehouse Platform（Apache Spark、Delta Lakeを含む）を用いた、スケーラブルなデータパイプラインの設計、実装、保守を行っていただきます。 
• 分析、機械学習、ビジネスインテリジェンスの各アプリケーションを支える、バッチおよびストリーミングのデータワークフローを開発・最適化していただきます。 
• 部門横断のチームと連携し、ビジネス要件およびデータ要件を、信頼性が高く本番運用可能なデータソリューションへ落とし込んでいただきます。 
• Databricks環境におけるデータ処理ワークロードのパフォーマンスとコスト効率を改善していただきます。 
• データ品質、ガバナンス、セキュリティに関するベストプラクティスの導入を支援していただきます。 
• チーム内のナレッジ共有に貢献し、ジュニアエンジニアの育成を支援していただきます。 

応募資格 

• DatabricksおよびApache Spark（PySparkまたはScala）の実務経験 
• AWS、Azure、GCPなど主要クラウドプロバイダー上でのデータプラットフォーム構築経験 
• 分散データ処理、データモデリング、パフォーマンス最適化に関する確かな理解 
• Gitなどのバージョン管理ツールおよびCI/CDパイプラインの利用経験 
• AirflowやDatabricks Workflowsなどのオーケストレーションフレームワークに関する知識 
• 国際的な環境での協業に必要な英語・日本語の高いコミュニケーション能力 
• 信頼性と拡張性の高いデータシステムの構築に関心を持ち、協調的に業務へ取り組める姿勢 

待遇・福利厚生 

• 日本市場の水準に沿った競争力のある給与 
• ハイブリッド勤務制度（出社とリモートワークの併用。応募には日本在住が必要） 
• 国際的なエンジニアリング環境における、経験豊富なメンバーとの協業機会 
• グローバル企業向けの大規模データ／AIプロジェクトへの参画機会 
• 資格取得支援やUdemy Businessを含む継続学習リソースなどのプロフェッショナル育成支援 
• キャリア開発を支える定期的なフィードバックサイクルと体系的な評価制度 
• ナレッジ共有と長期的なプロフェッショナルとしての成長を重視する協働的な企業文化 
• チームイベントおよびグローバルな同僚と交流できる機会 

ご興味をお持ちの方へ 

ご興味をお持ちいただけましたら、ぜひご応募ください。ポジションや日本チームについて詳しくお知りになりたい場合も、お気軽にご連絡ください。 

SLSQ427R275

This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for APAC Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.

Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how APAC’s largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.

You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.

The impact you will have

• A Scalable APAC Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You’ll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
• Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.
• A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real.
• Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.
• Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to APAC’s diverse geographies while contributing frameworks that support Americas and EMEA. You'll work cross-functionally to ensure these plays move from concept to revenue.
• Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.
• Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.
• Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
• Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.

What we look for

• An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists.
• Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.
• A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
• An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.
• A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
• Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
• Regulatory Aware You understand key APAC regulatory environments—such as data privacy, payments, sustainability, and sector-specific compliance—and can navigate these considerations in strategic conversations.
• A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
• A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.

FEQ127R214

As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Written and verbal level fluency in Japanese and English

Benefits

• Benefits allowance
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

CSQ327R31

Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。
このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。

あなたがもたらす影響 : 

• ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。
• Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。
• 複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。
• お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。
• 社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。
• 主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。
• Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。
• 以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。
• 本番環境へ移行する主要なユースケース
• 有効化／ユーザー成長計画
• 製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動）
• 現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化）
• エグゼクティブおよび運用ガバナンス
• 利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。

必要な条件/経験:

• データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。
• Python、SQL、またはScalaでのプログラミング経験。
• 顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。
• 分散データシステムに関連するソリューション・アーキテクチャの理解。
• 特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。
• アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。
• 顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。
• 自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。
• 目標（Quota、Goalsなど）に対する達成実績。

Databricksについて

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

CSQ327R31

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan

The impact you will have:

• You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
• Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. 
• You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. 
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise. 
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs. 
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• A understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets

Req: FEQ427R187
Location: Tokyo, Japan

We are looking for a Director, Field Engineering in Japan to join our world-class, hyper‑growth organization. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects, focusing on complex, strategic accounts and driving our expansion in Japan across manufacturing and automotive.

You will partner closely with Sales to grow product consumption, while coaching sales and pre‑sales teams to operate as a single, high-performing unit. You are adept at articulating complex, business value‑focused solutions, supporting sophisticated enterprise sales cycles, and building trusted relationships with senior stakeholders in large Japanese corporations. This role reports to the Technical GM – Japan.

The impact you will have

• Hire and manage first-line Managers and a growing team of technical pre‑sales Solutions Architects.
• Build a highly collaborative culture within a rapid‑growth team, embodying and promoting Databricks’ customer‑obsessed, team‑oriented, and diverse culture.
• Increase the return on investment of SA involvement in sales cycles by ensuring the right technical coverage and engagement model.
• Build long-term, trust-based relationships with customers; understand the local market landscape and trends, and report on forces that shape the strategic direction of accounts.
• Champion a solution- and value-based selling motion across Field Engineering.
• Demonstrate a strong understanding of business needs and revenue potential across your territory.
• Build the Databricks brand in Japan in partnership with the Marketing and Sales teams.

What we look for

• Second-line leadership experience (manager of managers) leading teams of 20+ individuals.
• Demonstrated success in high‑growth enterprise software pre‑sales, with senior‑level tenure at a reputable software company and deep experience in the Japan market.
• Proven ability to elevate customer engagement, with a track record of closing large, complex transactions and scaling high‑growth customers.
• Strong leadership skills to influence, develop, and empower Managers and ICs to achieve ambitious objectives as a team.
• Proven record of transformational impact and delivery of measurable customer value.
• Track record of building strong ecosystems of customer relationships and cross‑functional partnerships (Sales, Engineering, Marketing, Customer Success, etc.).
• Experience supporting complex strategic accounts generating $5M+ ARR.
• Deep interest in and understanding of data‑driven decision making, AI, and cloud software models.
• Demonstrated ability to implement scalable processes for technical field teams to improve efficiency and execution quality.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
• Fluent Japanese required; business‑level English strongly preferred.

​​

Req: CSQ127R172
Location: Tokyo, Japan

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What We Look For

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
• Written and spoken proficiency in both Japanese and English 

CSQ227R244

As a Resident Solutions Architect (RSA) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Director, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• Experience with Big Data Technologies or Data science in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in SQL, with proficiency in either Python or Scala.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Experience with developer operations and continuous integration/delivery for production deployments.
• Experience with technical project delivery - managing scope and timelines, preferably in data platform project
• Ability to communicate and collaborate in Japanese and English fluently to deliver domestic and overseas projects.

MKTQ127R2

Databricks is seeking an exceptional marketing leader to serve as Head of Marketing for Japan. As Head of Marketing for Japan, you will serve as the country marketing leader and strategic business partner to the Japan leadership team helping shape overall go-to-market strategy.

You will be responsible for defining and executing Databricks’ integrated marketing strategy for Japan to accelerate category leadership, pipeline growth, customer adoption, and long-term market expansion. This includes building Databricks’ reputation and presence in one of our most strategic global markets while ensuring marketing is deeply aligned to business priorities across sales, partners, customer success, and corporate functions.

This role requires a highly strategic, commercially-minded marketing executive who can balance long-term market development with near-term revenue accountability.

Reporting to the VP Marketing, APJ, you will lead cross-functional orchestration across global, APJ, and in-country teams to deliver high-impact, locally relevant programs that drive measurable business outcomes.

KEY RESPONSIBILITIES

Business & Market Leadership

• Serve as the senior marketing leader and trusted advisor to the Japan leadership team, contributing to country strategy and operating as a key voice in market planning and execution.
• Own country marketing strategy across reputation, demand, customer engagement, and ecosystem development.
• Partner closely with country sales leadership to align marketing investments with strategic growth priorities, whitespace opportunities, and account segmentation.

Integrated Marketing Strategy

• Develop and execute Japan’s end-to-end marketing strategy across brand, demand generation, executive engagement, customer marketing, communications, and events.
• Ensure global and APJ campaigns are effectively localized and activated to maximize impact in-market.
• Build innovative, high-performing programs tailored to Japan’s unique buyer, cultural, and market dynamics.

Partner Marketing & Ecosystem Development

• Develop partner marketing strategy in close partnership with alliances and cloud ecosystem teams.
• Leverage partners as a force multiplier to expand market reach, accelerate pipeline creation, and deepen customer engagement.
• Build joint go-to-market motions with strategic ecosystem partners.

AI-First Marketing Leadership

• Champion modern, AI-enabled marketing practices and help evolve the Japan marketing organization toward AI-native ways of working.
• Demonstrate fluency in emerging AI technologies and their implications for marketing execution, productivity, and customer engagement.
• Continuously identify opportunities to improve marketing effectiveness through data, automation, and AI.

Team Leadership & Talent Development

• Coach and mentor talent to elevate strategic thinking, executional excellence, and future leadership capability.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.

Success Measures / Outcomes

• Drive measurable contribution to pipeline, consumption, and customer adoption targets in Japan.
• Increase Databricks’ reputation, awareness, and category leadership.
• Expand partner-sourced / partner-influenced pipeline contribution.
• Build a high-performing, scalable marketing team and operating model for Japan.
• Establish marketing as a strategic growth driver and trusted business partner to the Japan leadership team.

What We Look For

• 15+ years of progressive marketing leadership experience in enterprise technology / high-growth software environments.
• Proven experience leading country or regional marketing organizations in Japan.
• Demonstrated ability to operate as a strategic business leader and partner to senior sales / country executives.
• Strong experience across field marketing, demand generation, executive engagement, partner marketing, communications, and events.
• Deep understanding of enterprise go-to-market models and complex B2B buying journeys.
• Strong commercial acumen with fluency in pipeline, funnel, and revenue metrics.
• Demonstrated experience building and developing high-performing teams.
• Strong understanding of AI’s impact on marketing and go-to-market, with ability to lead modern AI-enabled marketing transformation.
• Exceptional communication, executive presence, and stakeholder management skills.
• Native / fluent Japanese and business-level English required.

SLSQ227R424

As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, technologically advanced companies. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will close new accounts while growing existing accounts by always looking for new opportunities. 

The impact you will have:

• You will have a direct influence on the data strategy of the most disruptive companies today
• You will communicate account strategy to Databricks Japan senior leadership on a regular basis
• You will allocate Databricks resources to break into new accounts and grow existing accounts
• Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
• Exceed activity, pipeline, and revenue targets
• You will use a creative, fail-fast approach to selling and creating value for customers
• You will build a plan for success internally at Databricks and externally with your accounts

What we look for:

• Passion for selling a highly technical product in the cloud
• Experience selling to Digital Native customers in Japan is preferred
• 5+ years of experience with Value Selling Methodologies
• A creative salesperson with a well-defined prospecting motion
• Sales experience within big data, Cloud, or SaaS sales
• Proven years of experience exceeding sales quotas
• Success closing new accounts while working on existing accounts

SLSQ227R13

As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the FSI vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director, FSI Sales, Japan.

The impact you will have:

• You will secure new logos with strategic accounts in the FSI vertical.
• You will create a focused and targeted logo acquisition strategy.
• Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• You will build value in all engagements to guide successful negotiations.
• You will plan, document, and drive the growth of Databricks usage for your customers.
• You will develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
• Selling experience to the Enterprise FSI customers in Japan.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it to success.

P-1529

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager.

The impact you will have:

• Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs.
• Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback.
• Help the support team with detailed troubleshooting guides and runbooks.
• Contribute to automation and tooling initiatives to streamline daily troubleshooting.
• Partner with the engineering team and spread awareness of upcoming features and releases.
• Identify and contribute supportability features back into the product.
• Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests.
• Participate in weekend and weekday on-call rotation.

What we look for:

• • 7+ years of industry experience
  • Experience with supporting Java, Scala or Python-based applications.
  • Expert in scripting using Python or Shell.
  • Comfortable with black box troubleshooting.
  • Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment.
  • Experience with SQL-based database systems.
  • Experience in Linux and network troubleshooting is required.
  • Experience with AWS, Azure or GCP related services.
  • A bachelor's degree in Computer Science or a related field is required

At Databricks, we empower organizations to make better decisions with data and AI. As an Emerging Account Executive, you'll partner with some of Japan's most innovative and fast-growing companies - helping them unlock the full potential of their data to scale faster and smarter. You will own an Emerging territory, a portfolio of high‑potential, under‑penetrated accounts (often SMBs and Mid-market) that are not yet covered by a dedicated account owner.

You are a strategic, growth-minded sales professional who thrives in dynamic environments. You understand how to engage with senior stakeholders, navigate complex organizations, and drive meaningful outcomes. You're comfortable managing both short-term opportunities and multi-threaded, strategic initiatives that expand our footprint and customer impact.

You will report to Sr Manager, Sales in Japan.

The impact you will have:

• Develop and execute a territory plan targeting Japan’s emerging market segment - growth-stage organizations with significant data and AI ambitions.
• Effectively manage a mix of rapid, transactional deals and complex, strategic engagements.
• Consistently meet and exceed activity, pipeline, and revenue goals through active prospecting and account development.
• Maintain high standards of operational excellence in Salesforce and Clari, including accurate forecasting, opportunity tracking (MEDDPICC), and detailed account notes.
• Lead with a customer-first mindset and focus on delivering measurable business value.

What we look for:

• 3+ years of closing experience in SaaS, Cloud, Big Data or AI sales.
• Proven success exceeding sales KPIs and quotas.
• Demonstrated ability to acquire new customers and expand existing relationships.
• (Nice to have) Experience collaborating with partners or engaging in co-selling or partner-led motions within the technology ecosystem.
• Ability to quickly learn new technical concepts and confidently communicate value propositions.
• Fluency in Japanese and business-level English is required.

Req ID: FEQ427R123
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Financial Services field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Req ID: FEQ427R295
Location: Osaka, Japan

As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

Req ID: FEQ427R293
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Retail/CPG field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

FEQ227R42

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

仕事の内容

プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。

あなたがもたらす影響：

• あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。
• 見込み客をDatabricksの評価と採用へ導きます。
• リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。
• 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。
• ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。
• 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。
• 顧客のユースケースのディスカバリー
• 既存顧客のDatabricks環境の最適化
• Databricks製品改善のための活動

必要な条件/経験:

• 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験
• 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験
• パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験
• エンタープライズアカウントとの業務経験
•  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること
• データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。

望ましい経験/スキル:

• データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい
• Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験
• Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験
• データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験

Req ID: FEQ427R279
Location: Tokyo, Japan

At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Public Sector, we help central ministries, agencies, local governments, and public institutions use data and AI to deliver better, more trusted services to citizens.

You will be the senior technical leader for a set of strategic public sector accounts in Japan, using your executive‑level technical credibility and government expertise to shape and execute their data and AI strategy.

Reporting to: Director, Field Engineering, Japan

The impact you will have

• Own technical strategy for key Japan public sector customers, defining the target architecture and roadmap for their Databricks‑based data and AI platform.
• Lead solution design for priority government use cases (e.g., citizen 360 and eligibility, program analytics, smart infrastructure, cybersecurity, fraud/waste/abuse).
• Design for security and compliance, ensuring architectures meet public sector expectations on data residency, access control, governance, and auditability.
• Turn pilots into platforms, linking Databricks to visible mission outcomes and using those wins to drive expansion across bureaus, departments, and levels of government.
• Influence the ecosystem, collaborating with SIs, cloud providers, and public sector partners to deliver integrated, production‑grade solutions on Databricks.
• Mentor others, coaching Solutions Architects and partners on how to work effectively with Japan public sector stakeholders and patterns on the Databricks platform.

What we look for

• 10+ years in data platforms, analytics, or cloud architecture, including significant experience with public sector organizations in Japan.
• Proven ability to build trust with senior government stakeholders (CIO, CDO, chief architect, bureau/department leaders) and lead high‑stakes technical discussions in Japanese.
• Strong technical background in Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture, with a focus on solution design and platforms.
• Experience architecting data and analytics solutions for public sector use cases (e.g., citizen services, program analytics, public safety, infrastructure, or cybersecurity).
• Deep familiarity with Japan public sector decision‑making and delivery models, including how SIs and cloud providers support government projects.
• Excellent communication skills, able to translate mission and policy needs into clear technical approaches and explain them to both technical and non‑technical audiences.
• Language: Native‑level Japanese and business‑level English.

If you’re excited about helping Japan’s Public Sector use data and AI to deliver better outcomes – while setting the technical bar for our GTM in Japan – we’d love to hear from you. 

Req ID: FEQ427R294
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Digital Native field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

SLSQ227R241

As an Enterprise Account Executive - Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. 

This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts in diverse sectors. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales in Japan.

The impact you will have:

• Secure new Enterprise accounts across multiple industries, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Enterprise segment.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

Enterprise Account Executive - Hunterとして、あなたは主なミッションは複数の業界に属する顧客において新しいビジネスチャンスを特定し、獲得し、成長させることです。このロールは新規顧客を獲得し、エンタープライズ顧客におけるターゲットの売上拡大を促進することに重点を置いています。 あなたは、お客様とのリレーションを構築し、複雑な販売サイクルの中で大規模な取引を成立させることに成功する、積極的な「ハンター」です。部門横断のチームと緊密に連携し、お客様のニーズに対応したソリューションを提供し、長期的なパートナーシップを確立していただきます。日本の Sales Director 配下となります。

期待されるインパクト：

• 複数の業界にわたる顧客を獲得し、長期的なパートナーシップのための強力な基盤を構築する。
• 未開拓の市場で潜在力の高い顧客を特定し、獲得するための焦点を絞った戦略を開発および実行する。
• 複雑かつ長期の販売サイクルをコントロールし、早期の案件を発掘し獲得する。
• 新規に獲得した顧客におけるビジネス効果を最大化するため、Databricksの利用拡大を計画、推進する。
• エンジニアリング、プラットフォーム、アーキテクチャ、データ サイエンスの役割を含む重要な経営幹部レベルの関係を確立し、業界のアドボケイトとなる。
• ソリューションアプローチにより販売し、顧客価値を創出する。
• 顧客のビジネスを深く詳細に理解する。
• 顧客、組織、技術チームに対してリーダーシップを発揮する。
• 顧客の組織内でのDatabricksのインパクトを高めるために、案件における全ての重要なデータのユースケースと利用部門を特定する。
• Databricksチームとエコシステムパートナーを連携し、ビジネスへのインパクトを最大化する。

求める人材:

• エンタープライズの著名な組織に数億円規模の複雑なソフトウェア取引を販売した 5 年以上の経験。
• 優先セグメント、購入プロセス、購入サイクル、意思決定プロセス、エコシステムに関する知識。
• 従量制の PaaS/SaaS ソリューション、またはその他のデータ/AI/ML テクノロジーを販売した経験。
• 営業メソッドおよびプロセスにおける 5 年以上の経験。
  例）アカウントプランニング、MEDDPICC、バリューセリング、Command of the Message。
• 未開拓市場のハンター営業およびさらなる利用拡大のための既存顧客へのコンサルティングにおける 5 年以上の経験。
• 拡大計画の実行をサポートする顧客のチャンピオンと協同チームの発掘。
• 明確なパートナー戦略の策定とそれを成功に導く方法に関する理解。

SLSQ227R16

As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the Manufacturing vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Senior Director, Manu/Auto/HLS Sales, Japan.

The impact you will have:

• You will secure new logos with strategic accounts in the Manufacturing vertical.
• You will create a focused and targeted logo acquisition strategy.
• Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• You will build value in all engagements to guide successful negotiations.
• You will plan, document, and drive the growth of Databricks usage for your customers.
• You will develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
• Selling experience to the Enterprise Manufacturing customers in Japan.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it to success.

Req ID: FEQ427R250
Location: Osaka, Japan

As a Manager, Presales, you will build and lead a team of pre-sales Solutions Architects focusing on Enterprise accounts in Kansai region. Your experience partnering with the sales organization will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in enterprise companies. You will report to the Technical General Manager of the Japan region.

The impact you will have:

• Manage hiring, building the pre-sales team of Solutions Architects
• Rapidly scale the designated Field Engineering segment organization without sacrificing quality
• Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
• Support increase Return on investment of SA involvement in sales cycles
• Promote a solution and value-based selling field-engineering organization
• Display an understanding of business needs and revenue potential for accounts in the assigned region
• Build Databricks' brand in Japan in partnership with the Marketing and Sales team

What we look for:

• Experience in a PreSales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
• Experience pitching technical solutions into Enterprise companies in Kansai Region
• Have experience scaling and mentoring field and technical teams from scratch
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency
• Market experience of the Japan Region with verbal and written fluency in the local language
• Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science

As an Enterprise Account Executive - Kansai Region, your mission will be to acquire and grow some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will focus on growing our business in existing accounts. You will report to the Senior Director of Sales, Japan.

The impact you will have:

• You will secure new logos and expand within the enterprise accounts in the Manufacturing sector
• Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• You will build value in all engagements to guide successful negotiations.
• You will plan, document, and drive the growth of Databricks usage for your customers.
• You will develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
• Selling experience to Enterprise Manufacturing customers in Japan.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it to success.

SLSQ127R30

As a Strategic Account Executive, you will be responsible for driving growth and strengthening our relationship with one of Databricks’ key strategic customers.

You know how to sell towards the Manufacturing vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Senior Director, Enterprise Sales, Japan.

The impact you will have:

• Expand Databricks use cases in existing and newly won accounts to maximize impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• You will build value in all engagements to guide successful negotiations.
• You will plan, document, and drive the growth of Databricks usage for your customers.
• You will develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 7+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
• Selling experience to the Enterprise segments, ideally with a Strategic account in the Manufacturing domain.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it to success.

Benefits

• Benefits allowance
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Business travel insurance

SLSQ126R461

As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the Media vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Sales Director

The impact you will have:

• You will secure new logos with strategic accounts in the Media vertical.
• You will create a focused and targeted logo acquisition strategy.
• Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• You will build value in all engagements to guide successful negotiations.
• You will plan, document, and drive the growth of Databricks usage for your customers.
• You will develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
• Selling experience to the Enterprise Media customers in Japan.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it to success.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

About the role

We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.

Responsibilities 

• Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
• Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
• Perform code reviews to ensure adherence to coding standards and best practices
• Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
• Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
• Stay updated with the latest industry trends and technologies, and continuously improve technical skills

About you 

[Minimum qualifications]

• Proven experience as a Backend Developer, with at least 8 years of professional experience.
• Strong understanding of programming languages and related web frameworks.
• Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
• Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
• Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
• Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
• Experience with databases (SQL and NoSQL) and ORM frameworks.
• Experience with OLAP database.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experience.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Experience in Java development
• Experience in developing data structures, algorithms on top of Big Data platforms
• Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Familiarity with Agile development methodologies.
• Familiarity with solving system performance issues or improving system performance
• Familiarity with SRE / DevOps related domains

#LI-BD1　#LI-Hybrid