Get to know Okta Okta is the World’s Identity Company. We enable everyone to safely use any technology—anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

At Okta, we welcome diverse perspectives and experiences. We aren't looking for someone who checks every single box. We are looking for lifelong learners and people who can make our team better with their unique experiences. Join our team! We are building a world where Identity belongs to you.

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

What you’ll be doing

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.
• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.
• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.
• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.
• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.
• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.
• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

What you’ll bring to the role

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.
• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.
• Native-level Japanese proficiency with excellent communication and reading comprehension skills.
• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.
• Joy in spreading industry-leading solutions that benefit society.
• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.
• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organization using sales methodologies such as SPIN, Solution Selling, or MEDDICC.
• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.
• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).
• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.
• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.
• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).
• Experience speaking at technical conferences/webinars or writing technical blogs.
• Experience working as a software developer.
• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits
• Social Impact (Okta for Good)
• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organization has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live. Find your place at Okta today!

Okta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider qualified applicants with criminal histories, consistent with applicable legal requirements.

#LI-Hybrid
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About Okta:
Okta is the leading independent provider of identity for the enterprise. We enable everyone to safely use any technology, anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and placing identity at the core of business security and growth.

At Okta, we welcome diverse perspectives and experiences. We are not looking for someone who checks every single box. We are looking for lifelong learners and individuals who can make our team better through their unique experiences. Want to join our team? We are building a world where identity belongs to you.

As a Senior Solutions Engineer on the Okta Japan SE team responsible for the Okta Platform, you will serve as a key technical and business advisor to customers and partners. Leveraging your passion for technology and expertise, you will plan, propose, and demonstrate how Okta’s solutions solve critical challenges for customers—ranging from field managers to C-level executives—throughout the entire sales cycle. Ultimately, this role directly contributes to achieving quarterly and annual sales targets in Japan.

What you’ll be doing

• Collaborate with the sales team and related departments, acting as an authority on technology and the identity security domain, to ensure customers fully understand the value and potential of the Okta Platform.
• Communicate the value of adopting Okta solutions to customers in various roles—from practitioners and managers to C-level executives—to build trust.
• Explain concepts clearly to customers unfamiliar with Okta products or identity technology, while accurately answering questions from knowledgeable customers to establish credibility.
• Serve as a primary technical resource, confidently handling product features and detailed technical inquiries from customers, partners, and internal Okta teams.
• Promote knowledge sharing and actively enhance the expertise and efficiency of the entire SE team by contributing to and utilizing best practices and reusable assets.
• Support customers in executing Proof of Concepts (PoC) and technically demonstrate that adopting Okta’s identity solutions brings value to the customer.
• Participate as a presenter or demonstrator in online or offline events aimed at promoting Okta.
• Lead less experienced sales representatives and SEs, contributing to the constructive performance improvement of the entire team through appropriate feedback.

What you’ll bring to the role

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.
• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.
• Native-level Japanese with excellent communication and reading comprehension skills.
• Ability to convey questions and opinions in English via email, Slack, or one-on-one conversations.
• Joy in spreading solutions that lead the industry and benefit society.
• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.
• A desire to improve pre-sales skills—not just product or authentication technology knowledge—and aim to become a top-tier Solutions Engineer.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organization using sales methodologies such as SPIN, Solution Selling, or MEDDICC.
• Experience with Identity & Access Management, Single Sign-On, Security, and API-based solutions.
• Experience in the cybersecurity field (specifically design, implementation, or operation of security products/solutions like EDR/XDR, SIEM; or security risk assessment and consulting experience).
• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).
• Knowledge/experience with cloud platforms (AWS, GCP, Azure) and tools like Kubernetes, Terraform, or serverless environments.
• Understanding of core security in general applications (password hashing, SSL/TLS, EAR, XSS, XSRF).
• Experience speaking at technical conferences or webinars, or writing technical blogs.
• Experience communicating and working with overseas engineers in English.

What you can look forward to as an Okta employee

• Benefits
• Social Impact Activities
• Okta’s People, Connections, and Community

Okta is building a dynamic work environment by providing the best tools, technology, and benefits to help employees work productively in an environment that suits their individual needs. Each organization operates with unique flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live. Find your place at Okta today! Careers at Okta.

Okta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or veteran status. We also consider qualified applicants with arrest and conviction records in accordance with applicable laws. If you require reasonable accommodation to participate in the application or interview process, please use this form to apply.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.

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We are looking for a person ready to take up the challenge of working in a high-profile project where we integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better.

In this role, you will ensure functionality and performance of the system.

This role is based out of Tokyo, Japan and offer flexible Hybrid work style.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:

• Verify Tenstorrent’s digital IP and SoC logic at chiplet integration level, using industry standard verification methodologies
• Build and improve components of verification infrastructure including model builds and simulation/regression runs,
• Create verification components like testbenches, checkers and test generators,
• Add assertions and coverages along associated methodologies,
• Build verification test plans for subsystems, align them with project stakeholders, implement test suites, summarize the results and share feedback with project stakeholders
• Publish and review verification metrics and drive convergence towards tape-out,
• Work across boundaries with architects, software and design/emulation teams,
• Guide and mentor junior engineers.

Experience & Qualifications:

• Advanced degree in electrical, computer engineering or computer science
• Proven experience in CPU or SoC verification
• Over 10 years of experience with verification flows, scripting and automation
• Good knowledge of logic design
• Knowledge of Verilog//v2k/system Verilog
• Strong problem solving skills
• Excellent organizational and communication skills
• Good English language skills (written and spoken)

Nice to Have:

• Knowledge of RISC-V, machine learning, die-to-die, memory controllers, PCIe, UCIe
• Knowledge of low level drivers and firmware in C
• Fluency in Japanese
• Japanese work visa

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrentについて

Tenstorrentは、最先端のAIテクノロジーで業界をリードし、パフォーマンス、ユーザビリティ、コスト効率を再定義しています。当社のチームは、高性能なRISC-V CPUを一から構築しており、AIに対する深い情熱と、世界最高のAIプラットフォームを構築するという目的で団結しています。私たちは、コラボレーション、好奇心、そして困難な技術的問題を解決するという強いコミットメントを大切にしています。

募集ポジションについて

機械学習分野で学び、成長したいという意欲を持つエンジニアを募集しています。本ポジションでは、経験豊富なエンジニアと共に働きながら、当社独自のハードウェアプラットフォーム上でのMLモデルの開発・最適化を実践的に学ぶことができます。機械学習分野での業務経験は必須ではありません。必要な知識は入社後に習得していただけます。

必須要件

• C++およびPythonにおける強固なプログラミング基礎
• 機械学習およびAIに対する高い関心
• 学習意欲があり、困難な技術課題に挑戦できること
• 英語でグローバルチームとコミュニケーションが取れること

歓迎要件

• コンピュータサイエンス、工学、数学、物理学、または関連するSTEM分野の学士号以上
• 機械学習に関する基礎的な知識や経験（大学での履修、個人プロジェクト、研究など）

働き方

• Hybridで在宅勤務も、オフィス出社も可能です。
• 勤務時間も柔軟に対応しています

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Why Dialpad

Dialpad’s Agentic AI platform turns conversations into autonomous workflows that drive revenue, efficiency, and unforgettable customer experiences. Fortune 1000 companies trust our AI Voice & Digital Agents to resolve millions of interactions every day. We’re scaling fast and need Forward Deployed Engineers who want to be at the intersection of innovation and business impact.

Your Role

The primary purpose of our Forward Deployed Engineering team is to accelerate the adoption and realization of value from our AI platform by embedding within our most strategic customer accounts. You will be the crucial link that translates complex business challenges into production ready, high-impact Agentic AI systems, driving business outcomes. FDE’s will act as the company's most technically fluent business consultant and the customer's most trusted AI architects. 

What We Do

• Business Translation and Discovery: Rapidly embed with customer stakeholders and operational leaders to deeply understand their most complex, high-stakes business problems. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions.

• The Go-To-Market Bridge: Partner directly with our Sales, Sales Engineers, Professional Services and Customer Success teams to serve as the deep technical authority during critical pre-sales evaluations and post-sales deployments. You don't just sell the vision, you build the capability that validates the investment.

• Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development.

• AI Envisioning: Navigate complex enterprise infrastructure (cloud, on-prem, data pipelines) to integrate our platform. Guide customers on production grade Agentic bot builds and integration to custom data connectors, orchestration logic, and full-stack systems that bring AI to life.

• Agentic AI Design: Design and deploy complex multi-agent systems, architectures, and fine-tuned models tailored to the customer's unique data, domain, and security requirements. Author multi‑step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework.

About You

• 4+ years of experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Technical Consulting, high touch Sales Engineering or Solutions Architecture, or technical consulting for SaaS/AI products.

• Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus hands‑on experience with LLM frameworks.

• Unrivaled Business Acumen: The ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive.

• You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines.

• Contributor to a dynamic team culture, focused on high growth industry innovation, team collaboration, customer success, and having fun!

• Business-level fluency in Japanese and English required. 

Bonus Points

• Telephony stack knowledge (WebRTC, SIP, SBCs).

• Experience deploying chatbots or voice bots at >10K daily conversations.

• Contributions to open‑source AI agent frameworks.

How We Work

Our values mirror those of top forward‑deployed orgs: Customer First, Relentless Momentum, Extreme Ownership, and One Team. We ship, learn, and iterate - fast.

Responsibilities

We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider.

In this role, you will also be responsible to:

• Architect and design intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Design and deploy Agentic AI solutions using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop techniques enabling large language models (LLMs) to reliably author complex behaviors

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. 

• Work closely with clients to understand requirements and provide technical guidance.

• Tailor Workato AI solutions to meet specific client needs, ensuring optimal functionality and scalability.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. 

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks.

• Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices

• Create and deliver custom product demonstrations to support the sales and other internal teams.

• Improve internal processes, and promote knowledge sharing in the team, by contributing to Workato’s knowledge base

• Prioritize and deliver outstanding customer service experience to Workato customers

• Play a key role right from the product ideations stage to the implementation stage.

• Support the product manager in creating the technical and design specifications

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education - Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Total12+ years of relevant experience in the field of design, development and implementation.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of Implementing Integration projects is a must. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases.

• 5+ years of experience, working with Integration Platform such as TIBCO, Dell Boomi, MuleSoft etc is a plus. Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure

• Strong working knowledge with APIs - RESTful, SOAP/XML. Sound knowledge of Data Structure - JSON. Sound knowledge of any RDBMS/NoSQL. 

• 2-3  years of coding experience (Java/Python/Ruby)

• Technical background or a good understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus

• Working knowledge on Microservices or API-based integration architecture, Event driven architecture, Process Automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2747)

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

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.

The Impact You’ll Make at Appier 

We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines.
In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants.

What You’ll Work On

• Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation.
• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Design and monitor data infrastructure using ClickHouse and PostgreSQL.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities.
• Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
• Mentor junior engineers and help evolve team engineering culture and standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
• Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
• Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
• Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
• Deep understanding of ML pipelines and distributed job execution in production environments.
• Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
• Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.

#LI-AK1

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work 

• Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native-level Japanese fluency and business-level English required

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The Role 

As a ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.

You’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

What You’ll Be Working On

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
• Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
• Mentor senior engineers and shape the long-term technical direction across Autonomy.
  
  

About you  

Essential 

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

Desirable 

• Prior work in autonomous driving, imitation learning, or trajectory prediction.
• Familiarity with personalization, human behavior modelling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.
  
  

This is a full-time role based in our office in Japan.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

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. 

The Team:
Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting & transformation arm of a unified Customer Organization aligned to four core mandates:

1. Make Celonis Business Critical: Transform the platform into the central nervous system of our customers’ operations.
2. Scale Customer Health: Drive full platform adoption to ensure long-term value and stability.
3. Focus on High-Value Activities: Prioritize complex, high-impact technical work that moves the needle for Focus & Strategic customers.
4. Empower Career Growth: Foster an environment where every Celonaut owns customer success while accelerating their own professional trajectory.

We deliver production-ready Celonis Platform implementations that drive measurable top, bottom, and green-line impact. Moving beyond “point-in-time” analysis, we utilize a Discover-and-Build approach to solve the world's most complex operational challenges.

In close partnership with Value Engineering, we perform data-driven discovery to validate business hypotheses against real-world data. We then build and deploy operational, AI-enriched solutions on top of the Celonis Platform that automate decisions and optimize workflows at an enterprise scale.

We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state-of-the-art AI augmentation, allowing our consultants to focus on high-level, strategic problem-solving. By serving as the "eyes and ears" in the field, we maintain a continuous innovation loop with our Product & Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform.

The Role:
You are an AI Deployment Architect (AIDA). You own the reality of scaling solutions within a customer's actual IT environment and productizing those results. Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical, scaled solutions. As an AIDA, you steer account teams and customers toward AI use cases that are inherently scalable. You are not the primary implementer of these solutions. Instead, you steer the definition of the architectural vision for Consultants to execute and oversee delivery excellence. You remain hands-on for first-of-their-kind production solutions, eventually transitioning to an advisory capacity across a broad "book of work" within your assigned vertical.

The work you’ll do:

• Advise and Safeguard Technical Implementations: Provide architectural oversight for concurrent deployments at Fortune 500 organizations. You act as the final technical authority, maintaining "project-ready" coding skills to troubleshoot and resolve critical production failures that block value realization.
• Architect AI-Enriched Solutions: Collaborate with pre-sales teams to transform experimental prototypes into robust, scalable enterprise applications. You then translate these successful deployments into standardized platform features by maintaining a tight feedback loop with Product and Engineering.
• Engineer Low-Latency Systems: optimize these AI-enriched solutions for high-throughput and minimal latency. You ensure the Celonis Platform handles near-real-time data integration without compromising the user experience of business-critical applications.
• Implement Eval-Ops & Automated Testing: Build rigorous evaluation pipelines to test LLM quality and reliability at scale. You move beyond manual spot-checks by institutionalizing automated benchmarks for model accuracy and safety.
• Deploy LLMOps & Lifecycle Governance: Design systems for continuous model monitoring, cost optimization, and performance tuning. You establish the frameworks for data privacy and compliance within the customer's actual IT environment.
• Troubleshoot Agentic Orchestration: Manage the complexity of multi-agent workflows where agentic activity is triggered by Celonis context and logged back to the platform. You ensure seamless hand-offs between agents and maintain the integrity of the full process loop.
  
  

The qualifications you need:

• More than 4-5 years experience in IT-Consulting, Management Consulting, Process Improvement or a similar area
• Hands-on experience applying AI/ML techniques to solve business challenges is a plus.
• Native Japanese and strong communication in English
• Ability to refactor experimental pilots for production-scale performance and a deep proficiency in Python for building enterprise-grade LLM-based solutions.
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a plus.
• Enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Successfully completed your studies in Business Informatics, Computer Science, Information Systems, Economics, Mathematics, or a related field

#LI-DH2

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.

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

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

#LI-AK1

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.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

Our engineering team has a solid technical background, which would be a great environment for a skilled engineer.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 5+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

Language

Fluent in English or Chinese.

#LI-AK1

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.

About The Role

We’re building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers—faster execution, smarter budget allocation, and differentiated brand performance.

Our goal is to build Marketing Agents (e.g., Audience Agent, Campaign Agent and Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.

What You'll build

Agentic Marketing Automation

• Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report.
• Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps.
• One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products.

[Product Areas]

• Marketing Agents
  • Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
  • Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
• Consumer-Facing Agents
  • Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
  • Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
• Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.

Responsibilities 

Engineering leadership

• Lead a team of engineers (and partner closely with ML scientists) to deliver enterprise-grade agent and recommendation capabilities.
• Translate product goals into technical strategy, milestones, and execution plans; drive delivery with high quality and predictable cadence. 
• Establish engineering excellence: code quality, testing, observability, incident response, and continuous improvement.
• Build an environment of humble, hungry, smart execution—measure outcomes, iterate quickly, reduce waste.

Agentic Systems & ML Product Delivery

• Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation.
• Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows.
• Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs.
• Partner with Product, Design, Data/ML, and GTM to ensure model behavior aligns with user needs and business goals.

Stakeholder & Culture

• Drive stakeholder alignment: connect engineering objectives to business outcomes (revenue, retention, customer value).
• Promote an autonomous culture: empower autonomous decision-making for both the team and the systems you build.
• Manage fast-paced experimentation while ensuring security, compliance, and enterprise readiness.

About you 

[Minimum qualifications]

• 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role.
• Strong communication in English (written and verbal).
• Degree in Computer Science / Informatics or equivalent practical experience.
• Proven track record delivering enterprise-grade products (reliability, security, observability, performance).
• Experience working with or managing engineers and ML scientists.
• Experience delivering solutions using Agile principles.

[Preferred qualifications]

• Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation).
• Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization.
• Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse) and data governance.
• Experience with A/B testing and causal measurement; comfortable making tradeoffs using metrics.
• Exposure to MA/CRM domains: segmentation, journeys, omnichannel messaging, campaign ops, budget pacing.
• Experience in leading hybrid (onsite/remote) engineering team.

About Us (Appier Engineering)
At Appier Engineering, we aim to be humble, hungry and smart. We improve through constant measurement and feedback—building less and talking more to ensure outcomes users love while reducing waste. We innovate by failing well, adapt quickly, and stay efficient and responsive when needed. We’re looking for an Engineering Manager who embodies these values through work and life experiences.

The role 

We're on the lookout for a Site Reliability Engineer (SRE) with a thirst for innovation and a desire to establish Operational Excellence and best practices.  You'll be instrumental in fortifying the backbone of our AI-driven autonomous vehicles, ensuring they're robust, resilient, and ready to revolutionise urban mobility. This role isn't just a job; it's a chance to be at the forefront of an industry transformation, making a significant impact on how we live, work, and navigate our cities.

Key responsibilities:

• Elevate Operational Excellence: Guarantee the seamless operation of our autonomous vehicles on public roads, enhancing our ability to transform urban mobility.
• Innovate and Automate: Drive the development of cutting-edge tools and automation to streamline operations, from first-line support enhancements to fleet management.
• Metrics and Monitoring Mastery: Develop key metrics and monitoring/logging systems that preempt problems and promote rapid resolution, ensuring the highest levels of performance and reliability.

About you  

In order to set you up for success as a Vehicle SRE at Wayve, we’re looking for the following skills and experience.  

Essential 

• Proven experience in Site Reliability Engineering or a similar role, especially in a production environment.
• Expertise in Python, C++, or Rust, with a solid foundation in cloud computing platforms (AWS, GCP, or Azure).
• Expert with monitoring and troubleshooting utilities (DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, Humio, etc.).
• Exceptional problem-solving/troubleshooting skills and a detail-oriented mindset, coupled with outstanding communication abilities.
• Expertise in Linux and strong systems foundations

Desirable 

• Previous experience with Azure
• Previous experience with AV companies
• Previous experience with embedded systems
• Previous experience ML/AI

This is a full-time role based in our office in Japan.  Take part in a team on-call rotation, providing out-of-hours support for live systems when required
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

 The Role 

We're looking for an exceptional technical leader to spearhead our new Japan-based Application Engineer team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the Japanese market. This is a unique opportunity to shape Wayve’s AV capabilities in Japan from the ground up.

Here you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for Japan’s road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.

Given the geographical and time zone distance from our London HQ, your team will operate with significant autonomy. We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.

This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.

Key Responsibilities:

• Build and lead a self-sufficient AV development team in Japan, hiring and mentoring top talent across robotics and ML.
• Deliver autonomy capabilities tailored to Japanese road conditions and driving norms, in close collaboration with central Autonomy teams.
• Act as the primary technical and operational bridge between the Japan office and HQ, aligning roadmaps and communicating local insights.
• Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
• Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
• Work closely with OEM partners in Japan — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
• Establish close working relationships with our product and vehicle operations teams in Japan.
  
  

About You 

In order to set you up for success as a ML Engineering Manager at Wayve, we’re looking for the following skills and experience.  

Essential 

• A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
• Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
• Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
• Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.

Desirable 

• Prior experience in autonomous vehicles or robotic systems operating at scale.
• Familiarity with Japan’s road environment, driving behaviour, or AV regulatory landscape.
• A strong foundation in machine learning and its application to real-time decision-making or perception systems
• Japanese language proficiency (not required, but useful for day-to-day coordination).
  
  
  

This is a full-time role based in our office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

About Appier 

Appier is a software-as-a-service (SaaS) 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.

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 3+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in Japan, who is bilingual in English and Japanese.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements 
• Other compulsory benefits based on country of residence

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

#LI-YD1

#LI-Hybird

About Paidy, Inc.

Paidy is Japan's pioneer and leading BNPL service with the mission to spread trust through society and to give people room to dream.

Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers.

Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services.

Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com.

About Position 

The position is within the risk engineering team, which is tasked with designing, building, maintaining and operating the set of services that underwrites Paidy’s transactions. These services use machine learning models to predict credit risk and statistical models to detect, block and alert on fraudulent transactions in milliseconds. Recently our scope of work expanded to include designing, building and maintaining new internal web application tools that empower internal teams to experiment with and implement better fraud detection/prevention methods, credit risk policies, and collections policies to further maximize our revenue. We enjoy using Scala in a functional and pragmatic way to ease the burden of delivering quality backend software. We prefer simple solutions that allow us to iterate quickly and deploy them to production often. We value ownership and trust each other to deliver quality work in a timely manner.

Key Role and Responsibilities

• Work in cross-functional teams that include product owners, data scientists and other business domain engineers to deliver new features.
• Periodically evaluate if our services are meeting our security, maintainability, observability and reliability standards, capture any deficiencies and work with the rest of the team to address them.
• Work directly with product owners and stakeholders to ensure that new requirements will not degrade our platform’s performance, reliability or security.
• When assigned as a feature team lead, design and build consensus around new solutions architecture, build the technical implementation roadmap and work with the team to execute it.

Skills and Requirements

• Required to have:
  • Knowledge of Functional Programming and/or Scala and its ecosystem
  • Understanding of software architecture and design with the ability to align the overall service architecture
  • Experience with building distributed systems, scalability and low latency software
  • Experience with maintaining and further developing existing code bases
  • Ability to work with non-experts, discuss their needs and help them formulate their requirements.
  • Ability to explain complex technical concepts to non-experts
  • Showsinterestintheorganization's engineering strategy, product development strategy and how that aligns to the overall business strategy
  • Ability to define task outlines and deliverables
  • Demonstrates a sense of urgency when required
  • Ability to manage some ambiguity and exercises good judgment when needed
  • Ability to give and receive constructive feedback tactfully upstream and downstream
  • Excellent communication skills, ability to interact effectively with multidisciplinary teams
• Big plus if you have experience with:
  • Cassandra, Elasticsearch, Kafka and Postgres
  • CircleCI, AWS, Fargate, Terraform, Datadog
  • Modern front end technologies
  • Event Sourcing and CQRS
  • Working on a payment platform or other fintech field
• Paidy team will ask about your user experiences with Paidy Apps during the interview. Please download Paidy App and try it out!
  • iOS: https://apps.apple.com/jp/app/paidy/id1220373112
  • Android: https://play.google.com/store/apps/details?id=com.paidy.paidy&hl=en&gl=US

For those who are not able to downloadPaidyApp,duetotheregional restrictions, please be advised that you download the similar App, such as Klarna, Afterpay, Affirm and so forth, and come up with your opinions on these applications and services.

• Please note that you must be eligible to work in Japan.

What We Offer You

• Diversified team with 221+ colleagues from 37+ countries
• Exciting work opportunities in a rapid-growing organization
• Cross-functional collaboration
• Flexible work-from-home arrangement
• Competitive salary and benefits

Paidy Values

Be a winner / 勝ちにこだわる

• Beat expectations / 常に期待値を超える
• Display surprising speed / 人をスピードで驚かす
• Embrace risk / リスクを恐れない

Own it and deliver / 結果を出す

• Commit to what, when and how to deliver/ 目的・やり方・期限にコミットする。
• Own the actions to deliver / 結果のためのアクションにこだわる
• Embrace conflict when needed to deliver results / 必要なら対立・衝突も恐れない

Play an integral role / 大切なピースになる

• Make an irreplaceable contribution to our business / 替えの効かない貢献をする
• Embrace and bridge differences in language and culture / 皆が言語と文化の架け橋にな
  る
• Raise the bar / スタンダードを上げ続ける