Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

An overview of this role

As a Senior Engineer on the Runway team, you'll lead the design, evolution, and operation of the Kubernetes-based platform and developer tooling that powers GitLab's engineering organization. You'll drive strategic infrastructure initiatives across platform architecture, automation, and developer experience. That includes operating production Kubernetes clusters across cloud environments, scaling our ArgoCD-based GitOps workflows, and setting infrastructure-as-code practices and standards across teams. You'll mentor engineers, influence architectural decisions, and drive platform improvements that enhance reliability, observability, and security controls like RBAC and secrets management. Your work will establish clear patterns that make it easier for application teams to adopt modern practices and ship with confidence.

Some examples of our projects:

• Evolve ArgoCD GitOps standards across environments (Application Sets, sync policies, and deployment guardrails)
• Build reusable Terraform modules and practices for safe, repeatable cloud infrastructure provisioning and drift detection

What you'll do

• Manage and evolve production-grade Kubernetes clusters across cloud environments, contributing to architectural decisions on upgrades, scaling, disaster recovery, and reliability improvements.
• Implement and maintain GitOps workflows using ArgoCD, including Application Sets, sync policies, and deployment standards, and share best practices with teams adopting these patterns.
• Build and maintain reusable Terraform modules that enable safe, repeatable cloud infrastructure provisioning, including state management and drift detection practices.
• Lead incident response, drive post-mortems to clear conclusions, and implement improvements to availability, performance, and resilience as part of on-call rotation.
• Partner with application teams to onboard services onto the platform, writing documentation, runbooks, and self-service tooling that improves developer productivity.
• Implement security controls such as RBAC, network policies, and secrets management that meet compliance requirements.
• Contribute to CI pipeline integrations as part of end-to-end delivery workflows.

What you'll bring

• Proficiency in Go for writing and maintaining production-grade services and automation tooling, with the ability to guide others on best practices and code quality. Python or Bash experience is a plus.
• Hands-on experience owning production Kubernetes clusters across one or more cloud environments (for example, Amazon EKS, Google GKE, or Azure AKS), including upgrades, scaling, disaster recovery, and reliability engineering.
• Experience designing and operating GitOps-based continuous delivery workflows (for example, ArgoCD or Flux) and infrastructure as code (Terraform or equivalent), including reusable modules and safe infrastructure provisioning practices.
• Solid understanding of networking fundamentals (DNS, load balancing, ingress) and the ability to reason through failure modes and design tradeoffs, not just apply familiar patterns.
• Ability to deliver well-structured, independently driven work, including clear documentation of decisions, tradeoffs, and future considerations, in support of a team that operates asynchronously across time zones.
• Strong written and verbal communication skills, including the ability to write system documentation, establish runbooks, and share knowledge in ways that help the broader team move faster and get unblocked quickly.

About the team

The Runway team builds and operates the Kubernetes-based platform and developer tooling that GitLab engineers use to ship changes safely and reliably. We own core platform capabilities like production cluster lifecycle management, GitOps-based delivery workflows (ArgoCD), infrastructure as code foundations (Terraform modules and standards), and the reliability and observability practices that keep the platform healthy. We collaborate asynchronously with application and security partners to onboard services, improve self-service workflows, and strengthen controls like RBAC, network policies, and secrets management. The team's focus is reducing friction for developers while improving consistency, security, and operational confidence as the platform scales. For more on how this team works, see the Team Handbook Page.

Mechanical Engineer — Hardware Integration and Reliability (Japan)

Location: Tsukuba, Japan (AIST)   •   Department: Hardware Engineering

Summary

QuEra Computing Japan is hiring our first dedicated Mechanical Engineer in Japan to design, prototype, integrate, and maintain mechanical systems for the current and next generation neutral atom quantum computers, and the facility around them. This is a hybrid designer-builder role: equally comfortable proposing a solution in CAD and picking up tools to build, install, and iterate on it in the lab. You will own problems end-to-end — identify the issue, design the fix, coordinate local fabrication, install and validate it — and serve as the local technical bridge to Japanese machine shops, contract manufacturers, and NEDO-supported suppliers, working alongside teams in the US and UK. Professional fluency in both English and Japanese is essential.

Key Responsibilities

• Design precision mechanical assemblies — frames, mounts, enclosures, opto-mechanical hardware, shrouds — with attention to rigidity, vibration, and thermal stability.
• Update and own CAD models and 2D drawings for QuEra’s Gemini system at AIST, to match the as-built machine.
• Design and install water cooling loops, leak containment, and thermal management for laser and electronic subsystems.
• Design and install laser safety engineering controls: beam shrouds, periscopes, beam blocks, light-tight enclosures.
• Identify performance, safety, and ergonomics issues; propose options with tradeoffs; implement the fix (braces, maintenance steps, rack accessibility).
• Inspect, assemble, and install quantum computer modules; build unit testing benches for R&D supplier components; apply root-cause and preventive thinking to the product.
• Coordinate with Japanese machine shops and contract manufacturers; translate Boston/UK designs to local standards; support component validation.
• Apply DfM/DfA and maintain technical documentation — specs, drawings, assembly and maintenance instructions.
• General hands-on technical work: wiring, assembling, cleaning, plugging light leaks, deburring, small fabrication fixes. We are a startup.

Required Qualifications

• Degree in Mechanical Engineering or equivalent practical experience.
• Proficiency in Autodesk Inventor or comparable 3D CAD, with willingness to work primarily in Inventor.
• Experience designing precision mechanical systems; strong grasp of structural mechanics, tolerancing, materials, manufacturing, and thermal management.
• Hands-on prototyping and lab experience; comfort with shop tools, benchwork, and installing your own designs.
• Professional English and Japanese, including “mechanical engineer” Japanese for specifications and supplier communication.

Preferred Qualifications

• Scientific instrumentation, precision optics, opto-mechanical design; experience with optics, lasers, and laser safety.
• Thermal management and liquid cooling; power electronics; GD&T; PDM/PLM (Autodesk Vault preferred).
• DfM/DfA and prior work with machine shops, particularly in Japan; experience in international, distributed engineering teams.

メカニカルエンジニア — Hardware Integration and Reliability

勤務地: つくば市    部門: ハードウェアエンジニアリング

概要

QuEra Computing Japanでは、現行および次世代の中性原子量子コンピュータと、それを支える設備のメカニカルシステムを設計・試作・統合・保守する、日本における初の専任メカニカルエンジニアを募集します。本ポジションは「設計者」と「実装者」を兼ねるハイブリッドな役割であり、CADで解決策を提案することはもちろん、自ら工具を手に取り、ラボで構築・設置・改良を重ねていくことにも同じくらい意欲的に取り組んでいただきます。課題の特定、修正案の設計、現地での製作調整、設置および検証まで、一連のプロセスをエンドツーエンドで担っていただきます。また、米国および英国のチームと連携しつつ、日本国内の機械加工業者、受託製造業者、NEDO支援先サプライヤーとの現地技術窓口としてもご活躍いただきます。英語および日本語の双方でビジネスレベルの語学力が必須です。

主な職務内容

• 剛性、振動、熱的安定性に配慮した精密機械アセンブリ(フレーム、マウント、筐体、オプトメカニカルハードウェア、シュラウド等)の設計
• QuEraの「Gemini」システムについて、現物(as-built)に整合したCADモデルおよび2D図面の更新・管理
• レーザーおよび電子サブシステム向けの水冷ループ、漏水対策、熱管理システムの設計および設置
• レーザー安全のためのエンジニアリング対策(ビームシュラウド、ペリスコープ、ビームブロック、遮光筐体)の設計および設置
• 性能・安全性・人間工学(エルゴノミクス)に関する課題の特定、トレードオフを明示した複数案の提案、修正の実装(補強、メンテナンス手順の整備、ラックへのアクセス性向上 等)
• 量子コンピュータモジュールの検査・組立・設置、R&D向けサプライヤー部品の単体試験ベンチの構築、製品に対する根本原因分析および予防的アプローチの適用
• 日本国内の機械加工業者および受託製造業者との調整、ボストン/英国側の設計を日本のローカル標準に落とし込む作業、部品検証のサポート
• DfM/DfA(製造性・組立性を考慮した設計)の適用、ならびに技術文書(仕様書、図面、組立・保守手順書)の整備および維持
• 配線、組立、清掃、漏光箇所の塞ぎ込み、バリ取り、小規模な工作・修繕など、現場でのハンズオンな技術作業全般。当社はスタートアップです。

応募要件(必須)

• 機械工学分野の学位、または同等の実務経験
• Autodesk Inventorまたは同等の3D CADの実務スキル(主にInventorを使用することに前向きな方)
• 精密機械システムの設計経験。構造力学、公差設計、材料、製造プロセス、熱管理に関する確かな理解
• ハンズオンでの試作およびラボでの実務経験。工作機械、ベンチワーク、自ら設計したものを自ら設置することへの抵抗がないこと
• 英語および日本語のビジネスレベルの語学力。仕様書作成やサプライヤーとのやり取りに必要な、メカニカルエンジニアとしての専門日本語を含む

歓迎要件

• 科学計測機器、精密光学、オプトメカニカル設計の経験。光学、レーザー、およびレーザー安全に関する経験
• 熱管理および液冷、パワーエレクトロニクス、GD&T(幾何公差設計)、PDM/PLM(Autodesk Vault推奨)
• DfM/DfAの実務経験、および機械加工業者(特に日本国内)との協業経験。国際的に分散したエンジニアリングチームでの業務経験

Role Overview  
We are looking for a Sr. Control System Engineer/Site Reliability Engineer (SRE) to integrate and maintain the hardware and software systems that enable QuEra’s quantum controls and software stack. You’ll work closely with software engineers, physicists, hardware and test engineers to install, upgrade, maintain, test and troubleshoot multiple hardware and software control systems for our Quantum Computers. This role is a foundational systems engineering role to ensure the reliability, stability, and operational functionality of both our development and production environments.  

Key Responsibilities  

• Implement, maintain and test software and hardware in a heterogeneous system that controls disparate computer system devices. 

• Define, document, implement and test procedures for QuEra’s Quantum computer operations. 

• Manage science, development and testing infrastructure, including hardware-in-the-loop (HIL) setups, containerized services (K8S), routers, switches, and test systems. 

• Propose, and/or implement automated provisioning, configuration, and orchestration of local and remote compute systems used in controlling and testing, simulations.  

• Collaborate with software and test engineering teams to ensure smooth integration/deployment of DevOps tools with custom hardware and quantum-specific workflows.  

• Maintain artifact repositories, test result dashboards, and infrastructure for tracking regressions and system health.  

• Establish and enforce best practices for access control, system configuration, and lab operations.  

• Support incident response, troubleshooting, and root cause analysis for CI/CD failures or system anomalies. 

• Implement automation for monitoring and alerting for systems and services, integrating logs and metrics from embedded systems, test benches, and orchestration layers. 

• Work with CI/CD pipelines for building, testing, and deploying software and firmware across the quantum control stack. 

Required Qualifications  

• Practical implementation of LAN and WAN technologies on switches and routers (to include but not be limited to VLAN configuration, DNS, DHCP, and TCP/IP based services) 

• Practical Linux (Ubuntu, Debian, Redhat) and Windows Administration experience, to include but not be limited to network operations and, application installation and debugging 

• Proficiency in scripting languages such as Python, Bash, or Go, and familiarity with tools like Docker, Git, and Kubernetes.  

• Experience with CI/CD tools (e.g., GitLab CI, Jenkins) and infrastructure-as-code platforms (e.g., Ansible, Terraform, or similar).  

• Familiarity with observability tools (e.g., Grafana, Prometheus, ELK stack) and logging systems for real-time data monitoring.  

• Hands on experience with rack mount servers 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.  

• 10+ years of experience in a Network SQA, Systems Engineering, SRE, or infrastructure engineering roles.  

Preferred Qualifications  

• Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.  

• Knowledge of secure software deployment and Product life cycles.  

• Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.  

• Exposure to scientific computing, HPC, or quantum software stacks is a plus.  

• Ability to thrive in fast-moving, interdisciplinary R&D teams.  

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

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 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.  

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