SUMMARY  

As a Solutions Support Engineer, you will be a part of a global team responsible for providing outstanding technical support experience. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, creating solutions for customers while scaling our support offering using coding and scripting.  

Fluency in Japanese with Business level English is required 

 WHAT YOU’LL DO  

• Responsible for technical customer support experience within the Wiz product   

• Own, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams  

• Identify cases that require escalation (either technically or strategically)  

• Create, maintain, and coordinate incident management requests to product or engineering  

• Design and implement solutions that scale the support offering through automations  

• Participate in on-call rotation for after-hours, holiday, weekend support coverage 

 WHAT YOU’LL BRING  

• Fluency in Japanese

• 5+ years of hands-on, technical experience in customer support, technical support, system administration, or related customer-facing role  

• A minimum of 2+ years experience with Cloud technologies (Azure, AWS, GCP)  

• Experience in reading or debugging code in one or more of the following: Java, Python, Shell, JavaScript, JSON 

• Proficiency with command-line tools and Linux operating system environments 

• Experience with Kubernetes, system virtualization, on-prem and/or hybrid cloud computing, cloud identity and security systems, cloud monitoring and logging, as well as local and cloud storage   

• Familiar with security frameworks or tools 

• Excellent organizational and project management skills 

• Fast learner, natural curiosity, and love of technology  

 NICE TO HAVE 

• Experience with DevOps technologies  

• Familiar with REST API's or GraphQL  

• Knowledge of basic web technologies (e.g., HTTP, HTML, DNS)  

• Understanding of networking fundamentals (e.g., TCP/IP, Routing, VPNs, VLANs, Peering, Load Balancing)  

• Understanding of relational databases  

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.

Forward Deployed Engineer

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. 

What You’ll Do

• Customer-facing: 30% working directly with customers 

Coding & Integration: 70-80% hands-on technical implementation

• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring

• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems.
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.

Communication and Customer Empathy: Strong written and verbal skills

• Background: Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus

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

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture for OJM, Omni-channel Journey Map (https://www.appier.com/en/blog/customer-journey-map), and Aideal (https://www.appier.com/en/products/aideal). You will own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members
• Mentor engineers in cross-team development processes
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs
• Develop and operate scalable, reliable and maintainable service-based softwares and related components
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development.
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Typescript
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.
• Business-level proficiency in Chinese is required.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Jenkins).
• Continuous integration / continuous deployment.
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

#LI-AK1

Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin, a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.

Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Forward Networks is looking for a Customer Success Engineer, Japan.

• Do you want to create a category and help build a special company?
• Join a company that has been in the market 7+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable.
• We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. 

What you’ll do:

As a Customer Success Engineer Japan, you will be responsible for providing world class post-sales technical leadership to our client base.

Responsibilities:

• Providing advice and guidance as the Forward Networks subject matter expert to ensure successful ongoing usage and adoption of our technologies
• Taking ownership of post-sales technical issues, working with cross-functional teams to document problem resolution steps and troubleshooting procedures
• Walking customers through the various stages of adoption with Forward Networks Platform
• Working directly with our internal Product Management, Engineering, Sales and Marketing teams.
• Some travel to customer locations (<10%)

Requirements:

• Must be fluent in Japanese and English, both written and spoken.
• B.S. Computer Science or equivalent educational experience
• 5+ years of customer facing experience in a post-sales engineer role for a networking company, relevant software vendor, or as a network engineer for a large enterprise, service provider or Governmental agencies

Experience:

• Must be fluent in Japanese and English, both written and spoken.
• Strong understanding of Networking and Security fundamentals
• Experience in working with multiple Network vendors (e.g. A10, Arista, Cisco, F5, Fortinet, Juniper, Palo Alto Networks etc.)
• Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques; Superior presentation skills
• Excellent analytical & problem-solving skills, combined with the ability to provide quick resolution to problems
• Demonstrable success in thinking strategically, executing tactically while providing consistent and high levels of customer satisfaction and retention in a fast-paced environment 

Highly Desired:

• One or more of the following certificates: CCIE, JNCIE or VCDX
• Experience in working for a startup company
• Working knowledge of API driven workflows and scripting languages (Python, bash, jq, graphql, etc)

Candidates will work remote with 10-20% travel requirement for customer and internal meetings.