As an Enterprise Specialist on the Product Support team, you’ll partner closely with the Enterprise Support Manager to deliver and continuously improve our Enterprise Support experience. This team is responsible for supporting Figma’s most strategic customers, ensuring high-quality, reliable, and efficient support across complex use cases. You’ll play a key role in building trust with customers and collaborating with internal partners such as Sales, Product, and Engineering.

We're looking for a technical support expert experienced in working with Enterprise-level customers with an ability to understand and help with their unique needs. You will diagnose issues, determine solutions, and anticipate customer impact, serving as a customer advocate while working cross functionally to deliver an exceptional experience. 

This role will be based out of our Japan Hub.

What you’ll do at Figma:

• Develop expertise of Figma's products and the journey of our customers, from Product Designers to Account Administrators, to accurately diagnose sophisticated inquiries
• Interact with Figma customers daily via email, taking ownership over cases from start to resolution
• Partner closely with Sales teams to guide large scale organizations through complex workspace configurations, acting quickly to address technical issues and ensuring successful account setup
• Operate as the voice of the customer, capturing both product and process gaps in the experience and presenting data-backed cases for new feature development and process automation
• Act as designated point of contact for high-risk escalations and issues, proactively engaging the appropriate partners, and owning communication through to solution
• Identify trends and communicate insights to our Product and Engineering teams to advocate for bug fixes, process improvements, and feature enhancements
• Engage in pilot programs and experimentation to identify efficient approaches for delivering fast and personalized interactions to meet performance expectations and customer commitments
• Recommend foundational tooling and processes in partnership with our Product Support Operations teams to ensure we are set up to scale

We'd love to hear from you if you have:

• 3+ years’ experience working in a Support environment for a technical SaaS product, ideally supporting Enterprise customers
• Experience troubleshooting SAML/SSO and SCIM configurations for large-scale organizations
• Experience working with system administration for large end-user communities or guiding customers through complicated implementations
• Experience in evaluating business impact of technical issues to drive cross functional alignment, prioritization, and timely resolutions

While not required, it’s an added plus if you also have:

• Skilled in using tools such as Adobe XD, Sketch, and/or Framer and a passion for UX/UI development  
• Familiarity with or willingness to learn AI concepts (e.g., prompt refinement, natural language tools, generative AI, machine learning basics)

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Shift Technology Japan offers a unique opportunity to brilliant candidates to accelerate their careers in data science

• Data scientists work on a broad range of subjects, acquiring a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions; skills invaluable in any career.
• Our company is small enough that each person’s achievements have an impact on overall performance, yet big enough to be a world leader in our domain.
• We are a fast growing company, the best contributors will grow to managerial or product tech lead positions much more rapidly than in bigger companies

役割

データ・サイエンス・チームの一員として、私達の技術エキスパートと協働し、顧客企業に種々のソリューションを提供する上で重要な役割を果たして頂きます。

日々の業務には次の事が含まれます：

- 顧客企業のためのデータ処理パイプラインの構築と導入。バッチもしくはリアルタイムのデータ受領、データクリーニング、情報抽出、不正検出モデルの調整などが含まれます。- 顧客企業と密に連携してニーズ、フィードバックを把握し、ソリューションを改善します。- 製品開発とイノベーションのための研究開発（機械学習、画像分析、NLP、トレンド分析、チャットボット…）- 営業チームと協働し、製品デモの実施（そして、海外への出張も含まれます！）- 若手データ・サイエンティストの育成

What you'll do...

• As a member of the data science team, and working alongside our technical experts, your role will be key to roll-out our different solutions to the clients. Your day-to-day will include :
• Deployment and Localization of Shift Technology products for the Japanese Market
• Design new fraud detection algorithms to detect new complex fraud patterns
• Enhancement of the Global Solution working with the Head Office
• Work closely with clients to understand the data and Business context of various Business lines in order to integrate to the Solution's Model

What you bring...

• You have a master’s degree in either Mathematics, Statistics, Computer Science (a knowledge in machine learning and/or Big Data is a plus)
• You have experience in object-oriented programming, preferred in C#, and SQL
• You can write quality production code
• You combine Data analysis with synthesis abilities and are not afraid to deal with the details
• You are Fluent in Business Japanese as well as business English 

In addition:

• You have experience with the following technologies: Python, Git, Cloud, Machine Learning
• You have experience with external client-facing and pre-sales/demo
• You have knowledge in Insurance industry 

Recruitment process:

• Talent Acquisition interview
• Technical exercise
• Technical interview
• Hiring manager interview
• Touchpoint with Tokyo-based stakeholders

Shift Technologyについて

Shift Technologyは Wired 社によりパリの最もホットなスタートアップ企業に選ばれ、先進的な人工知能技術とデータ・サイエンスを活用して、保険会社が保険金請求プロセスについて如何に思考するかを変革しています。パリのHQに始まり、ボストン、東京、シンガポール、ロンドン、マドリード、チューリッヒのオフィスで、顧客企業が不正の疑いのあるケースを検出し、対策を取るためのお手伝いをしています。私達はクレーム処理の自動化を通して業務効率および顧客体験の改善のためのサポートをしております。５年に満たない間に、およそ70ものグローバルな保険業界において重要な顧客企業のために数百万件ものクレームを分析してきました。Shift Technologyについてより詳しく知るために是非ご連絡ください。

Position Overview:

As an Account Director with Diligent, you'll be at the forefront of driving revenue growth, deepening customer engagement, and shaping the future of how businesses utilise our cutting-edge solutions. Success in this role means expanding product adoption among current customers and introducing new clients to our platform. This is a high-impact, individual contributor role that demands strategic vision, proactive relationship-building, and relentless pursuit of excellence. You’ll be responsible for everything from engaging prospects and managing a robust pipeline to delivering accurate forecasts and closing deals. Acting as a trusted advisor and strategist, you’ll lead account planning, orchestrate internal collaboration, and leverage expertise to elevate customer success and revenue growth.

We’re looking for a commercially sound sales professional with a track record of exceeding targets, a natural collaborator, and someone who thrives in fast-paced, high-growth environments. If you’re driven to create value, embody a customer-first ethos, and deliver innovative solutions, this is the role for you.

Key Responsibilities:

• Proactively build a deep knowledge of and expertise in Diligent’s products, solutions, strategy and business priorities.
• Responsible for prospecting new and existing business within the designated vertical / territory for complex accounts with longer sales cycles.
• Adopts a ‘solutions’ selling approach, understanding customer needs and developing solutions through the lens of the Diligent One Platform.
• Build deep relationships with prospects and customers during interactions by being customer-focused and consistently honouring commitments and connecting the customer to internal commercial stakeholders to foster product growth.
• Develop and execute on account plans to ensure revenue targets, quota and customer business needs are met and collaborates with key stakeholders to drive integrated joint account wins for mutual business growth.
• Leads the coordination of Sales stakeholders to prioritise actions for multiple assigned accounts based on customer needs, sales generating importance, and account risks.
• Develops specialised business plans for customers that drive business outcomes to generate new business and upsells. Presents business plans to customers to generate new non-qualified opportunities.
• Create and lead feedback loop processes with product management and product marketing to communicate and relay customer pain points and feedback.
• Demonstrate Sales excellence by managing the end-to-end sales cycle from opportunity to deal close using the Diligent approved sales methodology.
• Effectively utilise sales tools to prospect new leads, schedule initial meetings, increase win rates and generate bookings.
• Accurately maintain SFDC records, forecast and report out on projected bookings, deals closed etc. on a regular basis.
• Demonstrates a deep understanding of the competitor landscape externally, including customers’ business strategy and the direction of the industry.

Required Experience/Skills:

• 7+ years of success in account management, new business acquisition, and exceeding revenue targets, ideally within highly regulated industries, SaaS or GRC space.
• The ability to build trust and influence senior leaders and stakeholders at all organisational levels.
• A passion for continuous learning and a sharp understanding of both internal products and external industry trends.
• Exceptional presentation, negotiation, and interpersonal skills that inspire confidence and drive outcomes.
• A knack for aligning technology solutions with business objectives to deliver measurable value.
• Self-motivation, resilience, and a results-driven approach to thrive in a dynamic, fast-paced environment.
• Fluency in English & Japanese

#LI-SM1

#LI-Hybrid

We are building the definitive AI-powered crypto search engine, transforming how users discover, analyze, and interact with on-chain and off-chain data. Our mission is to make the complex world of crypto instantly accessible through intelligent, natural-language search. As Head of Growth, you will architect our user acquisition strategy, leveraging data-driven approaches to scale our platform into the go-to gateway for millions of crypto participants.

Core Responsibilities

• Design and execute the overarching user acquisition strategy, focusing on sustainable growth loops and high-retention onboarding.

• Lead performance marketing efforts across digital channels, optimizing spend based on rigorous CAC and LTV analysis.

• Implement growth hacking experiments to identify new channels for user expansion, from viral referral programs to SEO-driven content strategies.

• Work closely with the product and engineering teams to integrate growth-focused features and reduce friction in the user journey.

• Manage and analyze the full growth stack, using data to drive decisions on product positioning and marketing messaging.

Requirements

• 5+ years of experience in growth marketing or user acquisition, specifically within the fintech, crypto, or AI sectors.

• Proven experience leading user acquisition, performance marketing, and growth hacking initiatives.

• Strong analytical skills with the ability to interpret complex datasets and translate them into actionable growth tactics.

• Proven track record of scaling consumer-facing platforms through a mix of performance marketing and organic growth hacking.

• Deep understanding of the crypto market landscape and user behavior patterns within the Web3 ecosystem.

• Experience managing growth budgets and working with modern marketing automation and analytics tools.

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.

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

Udacityの使命は、世界中の労働者が未来のキャリアに必要なスキルを身につける支援をすることです。私たちは世界のトップ企業と提携し、実践的なプロジェクト型学習プログラムを共同開発することで、受講者が実社会で通用するスキルを習得できるよう支援しています。Udacityのプロジェクトレビュアーは、学習者が成長する過程で高品質なフィードバックを得られるようサポートする、極めて重要な役割を担います。

チームに参加しましょう

プロジェクトレビュアーの主な職務内容

• 受講生が提出したプロジェクトを、正確性・完全性・Udacityガイドライン遵守の観点からレビューする
• 受講生が改善できるよう、日本語で建設的かつ実践的なフィードバックを提供する
• 提出されたプロジェクトがオリジナル（自作）であり、盗用・剽窃がないことを確認する
• 8時間以内という迅速なレビュー対応時間を維持する
• Udacityチームと連携し、レビュー品質と一貫性を確保する。

※役割の詳細は Reviews ページをご参照ください。

現在募集中の専門分野

以下の分野において、専門知識を有するレビュアーを積極的に募集しています。

• 中級Python
• データエンジニアリング(AWS)
• データエンジニアリング (Microsoft Azure)
• 自然言語処理
• 深層強化学習
• C++
• ビジネスリーダー向けAI
• データストリーミング
• データアーキテクト
• Pythonによるデータサイエンスのプログラミング
• Rによるデータサイエンスのプログラミング
• ビジネスインテリジェンス分析
• API開発とドキュメント作成
• クラウドアーキテクト - AWS
• クラウドアーキテクト - Microsoft Azure
• クラウドネイティブ・アプリケーション・アーキテクチャ
• クラウドDevOpsエンジニア (AWS)

（※ 募集分野は需要に応じて随時更新されます）

応募するメリット

• 技術的知識や専門性が世界的なプラットフォームを通じて認知される
• 世界中の優秀な技術メンターたちとネットワークを築ける
• 柔軟な勤務時間で副収入を得られる
• 日本および世界の学習者に教育的インパクトを与えられる
• 教育の未来を形づくる使命感あふれる組織の一員になれる

現在、様々なポジションでレビュアーを募集しています。

ぜひお早めにご応募ください！

応募の前に、まだ記入されていない方は General Information Form（応募者情報フォーム） をご記入ください。

また、職務経歴書を添付する際は、必ず英語で作成された文書をご提出ください。（AI翻訳などを利用しても問題ありません）

注意事項：メンターは独立契約者（フリーランス）として活動し、自身でスケジュールを設定します。適性が確認された場合、応募から3週間以内に次のステップについてご連絡します。同じ分野で複数回応募しないようご注意ください。Udacityのメンターとして正式に登録するには、Mentorship Nanodegree（メンターシップ・ナノディグリー）を修了する必要があります。