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Location: GE Workplace: remote Overview: SOFTSWISS is hiring a Promo Manager Assistant to join our Game Aggregator team. You’ll support promotional activities across the Game Aggregator platform, working closely with game providers, operators, and internal teams to ensure well-coordinated campaigns and smooth promo launches. About Product: The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration. Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms. Purpose of the Role: You’ll coordinate promotional activities across the Game Aggregator platform to support timely launches and effective collaboration with partners. Your work will help maintain accurate partner data, streamline communication, and ensure promotional opportunities reach the right stakeholders. Key Responsibilities: Maintain and update the partner marketing activities calendar in Confluence and Telegram. Support the Promo Manager in coordinating Tournament Tool integrations with clients / operators. Facilitate communication between the Promo Manager, game providers, and operators on promotional activities. Review and maintain client-submitted forms, identifying inconsistencies and flagging them to Account Managers / Business Account Managers of the operator / client. Share information on promotional discounts with Partnership Reconciliation Managers to support accurate reconciliation. Coordinate exclusive game releases and pre-releases, including internal announcements, client registrations, and communication with game providers. Required Experience: English proficiency at Intermediate level or higher. Strong analytical thinking and attention to detail. Good knowledge of Excel and Google Sheets. Good organisational skills, with the ability to manage multiple tasks and keep information up to date. Clear communication skills and the ability to work with different teams and stakeholders. Nice to Have: Experience as an Account Manager assistant, in marketing or advertisement. Familiarity with analytics and reporting tools, such as Power BI or Tableau. Russian proficiency at Upper-Intermediate level or higher. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

The Role The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer.

Location: London About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to inclusion and fairness We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all. We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The Role We’re looking for an experienced Senior Product Designer to join our Design Systems team, based at Bracken House in London. You’ll play a key role in shaping and evolving Origami, the FT’s design system , helping teams across the business create coherent, accessible and high-quality digital experiences. Working closely with designers, engineers and product managers, you’ll develop shared foundations, components and guidance that make it easier for teams to design and build products that feel distinctly FT. The role spans web and mobile, requiring thoughtful decisions about where shared patterns create consistency and where platform-specific approaches deliver better experiences. You’ll also explore how AI can support the future of design systems. From accelerating component development and documentation to helping teams prototype and build using Origami, you’ll test emerging approaches and identify opportunities to improve how we work. Combining strong design craft with hands-on technical skills, you’ll help ensure Origami remains dependable, accessible and relevant as our products and technologies evolve. Key Responsibilities Shape and evolve Origami’s shared foundations, components and design guidance, ensuring they meet the changing needs of FT product teams. Contribute to the design system’s forward plan, identifying opportunities to improve its value, quality and adoption. Collaborate with designers, engineers and product managers to understand product needs, identify gaps and develop practical solutions. Lead design work from problem definition and exploration through prototyping, validation and implementation. Apply strong visual and interaction design craft to create consistent, accessible and high-quality experiences across web and mobile. Work closely with engineers to evaluate technical feasibility and ensure designs translate into reliable implementations. Create clear documentation, guidance and examples that help teams understand, contribute to and adopt Origami. Support colleagues in using the design system, sharing expertise and building confidence across teams. Explore AI-assisted approaches to developing and maintaining components, design foundations and documentation, including generating code for review. Experiment with ways AI tools can use Origami’s principles, foundations and components to support prototyping and product development. Test AI-enabled workflows with designers and engineers against real product needs, assessing their usefulness, quality and technical suitability. Use feedback and evidence to evaluate improvements in adoption, design quality and the experience of working with Origami. Required Skills and Experience Significant product design experience, with strong visual design, interaction design and prototyping skills. Experience creating, maintaining or evolving design systems, reusable components or shared patterns across products or teams. A portfolio demonstrating high-quality product design and design systems work, clearly explaining your contribution and impact. Advanced experience using Figma, including component libraries, variables and design tokens. Experience building interactive prototypes using code, with a working knowledge of HTML and CSS. Strong technical understanding and confidence collaborating with engineers on feasibility, implementation and design trade-offs. Experience designing for web and mobile, with an understanding of platform conventions and when different approaches are appropriate. Knowledge of accessibility principles and experience applying them to components, patterns and digital experiences. Experience using or exploring AI-assisted design and development tools, with sound judgement about their opportunities and limitations. Experience leading cross-functional design work, navigating ambiguity and influencing decisions without formal authority. Strong communication and documentation skills, with the ability to explain design decisions and build relationships across teams. A collaborative, systems-oriented approach and the ability to help others understand and adopt shared design practices. Desirable Experience supporting the adoption of a design system across multiple product teams. Experience exploring how AI tools can use design system guidance, components or code to support product development. Experience evaluating the effectiveness of design systems through feedback, usage evidence or measures of quality and adoption. What's in it for You? Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here . We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further Information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com . Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.

Location: GE; PL Workplace: remote Overview: SOFTSWISS continues to expand its team and is looking for a Senior Ruby on Rails Developer. We need a skilled, proactive and accomplished professional who shares our culture and values and is ready to contribute to the development of cutting-edge gaming solutions. About Product: SOFTSWISS Casino Platform Full-service modular software platform to manage online casino operations Learn More Purpose of the role: We’re looking for an engineer who treats AI as a force multiplier rather than a shortcut: someone who ships fast with modern tooling, but still owns the architecture, the edge cases and the production behaviour of everything they deliver. If you share our culture and values and want to build high-load gaming solutions used by millions of players, we’d love to talk. Key responsibilities: You’ll do design, build and evolve Ruby on Rails services that power our iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling. Work in an AI-augmented workflow: use coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review and take full responsibility for the quality of what gets merged. Integrate LLM-based features into the product where they create real value: [fraud and risk signals, player-support automation, content generation, internal analytics copilots]. Own performance and reliability: profile hot paths, tune PostgreSQL queries, design caching and background-processing strategies, and drive incidents to root cause. Review code (human- and AI-written alike), mentor mid-level engineers and help set the team’s standards for how we use AI responsibly and effectively. Take part in architecture discussions, technical planning and cross-team initiatives. Required Experience: 4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals, Rails conventions and where to break them. Strong SQL and PostgreSQL skills: indexing, query planning, migrations on large tables without downtime. Solid grasp of distributed-system fundamentals: message queues, idempotency, eventual consistency, background jobs (Sidekiq or similar), caching (Redis). Hands-on experience with AI coding tools in day-to-day work, and a clear opinion on when they help and when they hurt. You can spot a plausible-looking hallucinated API in review. Ability to evaluate and verify AI-generated code: you write and read tests critically, understand what the code actually does, and never merge what you can’t explain. Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI. Confident with Git, CI/CD pipelines, Docker; comfortable reading Kubernetes manifests and logs. Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar). Upper-Intermediate or higher English and Russian level. Nice to have: Experience integrating LLM APIs (OpenAI, Anthropic, open-weight models) into production Ruby applications – prompt design, structured outputs, evaluation, cost and latency control. Familiarity with RAG pipelines, vector databases (pgvector, Qdrant) or agent frameworks. Understanding of security and data-privacy implications of AI features (PII handling, prompt injection, model output validation). Experience in fintech, payments or iGaming; knowledge of regulatory and responsible-gaming requirements. Contributions to open-source Ruby projects, talks or technical writing. Working knowledge of Go, Elixir or TypeScript for cross-service work. Our stack: Ruby 3.x, Rails 7/8, PostgreSQL, Redis, Sidekiq, Kafka [/RabbitMQ], Docker, Kubernetes, GitLab CI, Grafana, Sentry. AI tooling: [Cursor / Claude Code / Copilot] with team-wide guidelines on usage, review and security. LLM integrations via [provider APIs and self-hosted models] Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral Cloud builds and operates the infrastructure that powers Mistral's AI. The Data Centers team signs long-term leases for data center capacity developed by third-party operators, sources the GPUs that fill those halls, and runs the workloads that train and serve Mistral's models. Today the team is around 40 people, mainly based in Paris with some remote members, and operates roughly 200 MW of existing capacity across France. Key partners include Éclairion in France and EcoDC in Sweden, which is currently delivering Mistral's first Swedish data center. The team sits at the center of an ambitious roadmap: Mistral has publicly committed to securing one gigawatt of data center capacity globally by 2030. With 200 MW already online, roughly 800 MW remain to be secured over the next five years. Every megawatt needs power, and power is this role's domain. THE ROLE Mistral's data centers will consume hundreds of megawatts of electricity. This hire makes sure that power is reliable and affordable. You will define and execute Mistral's energy procurement strategy: structuring agreements with utilities, hedging against volatile spot prices, and tracking the regulatory changes that affect where and how data centers can be powered. The role also touches energy policy and community relations in the regions where Mistral operates. This is a hybrid seat. Roughly half of the work is commercial: procurement contracts, hedging instruments, and price risk management. The other half is policy and positioning: monitoring regulation, engaging with grid operators and local authorities, and helping Mistral build the social license to operate large data centers across Europe. WHAT YOU WILL DO - Define and execute Mistral's energy procurement strategy across European data center sites - Negotiate power purchase agreements and procurement contracts with utilities - Structure hedging agreements to limit exposure to volatile spot power prices - Monitor energy regulation and policy developments that affect data center siting, grid connection, and power pricing - Engage with grid operators, regulators, and local communities in regions where Mistral builds and operates data centers WHAT WE'RE LOOKING FOR - You have procured energy at scale. You have structured power purchase agreements, utility contracts, or hedging instruments for industrial or infrastructure-scale consumers. - You understand European energy markets. You know how power pricing, grid connection, and regulation work across the markets where Mistral operates. - You can read a regulatory brief. You have tracked and interpreted energy or infrastructure policy and translated it into commercial implications. - You communicate across disciplines. You work effectively with engineers, finance, legal, and external stakeholders, and can explain complex energy concepts to non-specialists. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning. You’ll work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features — from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations. This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship. WHAT YOU’LL DO Product strategy & growth - Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey. - Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers. - Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends. - Translate ambiguous business questions into clear analytical approaches and actionable recommendations. Experimentation & applied data science - Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement. - Develop predictive and statistical models that improve consumer experiences. - Collaborate with Product and Engineering teams to translate findings into consumer-facing features. Analytics practices & tooling - Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting. - Build and maintain metric definitions, dashboards, and measurement frameworks. - Automate recurring analytical processes. - Communicate findings clearly to both technical and non-technical stakeholders. - Promote a data-driven product development culture across teams. REQUIRED SKILLS & EXPERIENCE - 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with demonstrated experience influencing product decisions through data. - Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling. - Hands-on experience with Databricks for analytical workflows, data processing, or model development — required. - Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls. - Strong understanding of product analytics — funnel optimization, metric development, cohort analysis, and behavioral segmentation. - Working knowledge of applied statistics and machine learning techniques — regression, classification, propensity modeling, and/or causal inference. - Experience developing dashboards and automating analytical workflows using modern BI and data tools. - Excellent communication and collaboration skills — able to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations. - Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Portugal; Brazil SUMMARY: We’re looking for a Senior Salesforce Developer to join TXP on a client project and take a hands-on role in developing and improving a complex Salesforce estate. A key part of the work will be designing, building and deploying Salesforce Agentforce agents that support real business processes. The client runs two Salesforce orgs covering Sales Cloud and FinancialForce (Certinia), with finance processes spanning the sales ledger and general ledger. The contact centre also uses Service Cloud, which is largely supported by an external development partner. You’ll be one of the key Salesforce technical specialists in a small internal team. You’ll write and review code, work directly with business stakeholders, and have the autonomy to challenge requirements and recommend how to deliver them. WHAT WILL YOU BE DOING: As part of an agile software development team, you will: Design, build, test and deploy Salesforce solutions using Apex, Lightning Web Components (LWC), SOQL and Salesforce APIs. Lead hands-on Agentforce development, from identifying suitable use cases and configuring agents through to testing and deployment. Enhance Sales Cloud and build or maintain integrations across Salesforce, FinancialForce and other enterprise systems. Work with stakeholders to understand the business problem and decide when to use Apex, Salesforce Flow or other native platform capabilities. Review the existing estate and identify improvements to performance, scalability and maintainability. Maintain good standards for testing, security, source control, deployment and technical documentation. Collaborate with internal Salesforce colleagues and external development partners. WHAT WE ARE LOOKING FOR: Strong commercial experience as a Salesforce Developer, with the ability to take ownership of development work in a small team. Hands-on experience building solutions with Apex and LWC, plus solid knowledge of SOQL, Salesforce APIs and integration patterns. Strong Sales Cloud experience and experience working in complex or multi-org Salesforce environments. Practical experience designing and implementing integrations between Salesforce and other systems. A strong understanding of Salesforce security, data modelling and automation, including Salesforce Flow. Experience with modern Salesforce development and deployment practices, including Salesforce DX, Git and CI/CD. A degree in Computer Science, Engineering or a related discipline. Strong verbal and written communication skills in English YOUR AGENTFORCE EXPERIENCE: Hands-on Agentforce implementation is essential. We’re looking for someone who has personally designed, built and implemented Salesforce Agentforce agents for real business use cases, ideally through to production. You should be able to walk us through an agent you helped deliver, explain what you personally built, and describe how you tested and deployed it. We’d like to hear how you configured topics, actions, instructions and guardrails, and how the agent interacted with Salesforce data, automation, APIs or existing business processes. AWESOME BUT NOT REQUIRED: Experience with FinancialForce (Certinia), particularly in accounting or finance workflows. Experience integrating Salesforce with finance, ERP or general ledger systems. Service Cloud or contact centre experience. Salesforce Platform Developer I or II certification. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture. A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility of travelling - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL-BASED ONLY

Location: Москва Workplace: Гибрид, Офис Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности ​​​​​​ анализ данных и проверка гипотез для решения бизнес-задач; разработка и валидация ML-моделей (регрессия, классификация, кластеризация, ансамбли) feature engineering: подготовка и проектирование признаков; построение интерпретируемых моделей и explanation-инструментов (XAI); подготовка прототипов моделей и передача их в пилотирование / промышленную эксплуатацию; визуализация результатов, подготовка презентаций и консультирование заказчика. Требования опыт от 2 лет на позиции Data Scientist / аналитика данных; уверенный Python (scikit-learn, pandas, numpy), SQL, опыт с PostgreSQL и ClickHouse; понимание валидации моделей и борьбы с переобучением; навыки визуализации данных и подготовки презентаций; математическое моделирование, статистика, системный анализ. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Задачи: — Разработка backend-сервисов на Python с использованием LLM и ML решений — Интеграция и автоматизация процессов с применением n8n и hermes ai — Работа с LLM: интеграция, prompt engineering, создание кастомных сценариев — Разработка и внедрение ML моделей — Интеграция внешних и внутренних API — Участие в разработке frontend-части на React и Django — Оптимизация и поддержка решений в продакшн Требования: — Уверенное владение Python и Git — Опыт интеграций и автоматизации с использованием n8n и HERMES AI — Знание API: REST/JSON, разработка и интеграция внешних сервисов, авторизация (OAuth, API keys) — Опыт работы с LLM: OpenAI, open-source модели, prompt engineering, PyTorch, TensorFlow, LQM — Навыки работы с React: компонентный подход, работа с API, верстка, управление состоянием приложения — Понимание RAG и основ машинного обучения — Опыт работы с Docker, CI/CD, MLOps, оптимизация inference, YOLO (Ultralytics), 1С

- Портирование и адаптация Unity-проектов под Android, iOS, WebGL и другие платформы. - Интеграция и настройка рекламных SDK, mediation-платформ (Appodeal, AdMob и др.).

- Own front-line support during your timezone hours, providing reliable overlap with the existing team (Saturday–Wednesday schedule). - Respond to and resolve customer tickets with clarity and care.

Location: United Kingdom; London Office Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Talent Acquisition at Chainalysis is a small, close-knit team that partners with leaders across the business to hire the people who will carry our mission forward. We share sourcing wins, market learnings, and process improvements openly, and we hold ourselves to a high bar for both results and candidate experience. We are hiring a Technical Recruiter to own and drive hiring for Engineering & Product roles in our EMEA locations. This is a high-volume, outbound-heavy role: you'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top engineering talent across AI, Crypto, and Fintech. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Software Engineering roles among your key hires. You'll work closely with hiring managers across our R&D teams as a talent partner who understands the business and delivers results. IN THIS ROLE, YOU'LL: - Build pipeline through proactive outbound sourcing, mapping the AI, crypto, and fintech landscape to find where strong Software Engineers work today - Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns - Own the full recruiting lifecycle for R&D roles, from intake and sourcing through offer negotiation and close, across a high-volume requisition load - Deliver a thoughtful, personalised, and transparent candidate experience at every step while moving candidates through the process efficiently - Partner with R&D leaders to calibrate expectations, share market insights on talent availability and compensation, and flag risks early so hiring plans stay on schedule - Use data on pipeline health, conversion rates, and channel effectiveness to guide decisions, and champion diversity and inclusion in every search WE'RE LOOKING FOR CANDIDATES WHO HAVE: - 3+ years of full-cycle recruiting experience with a strong track record of hiring technical talent, such as Software Engineers, Data Scientists, Researchers, and Product Managers - Demonstrated outbound sourcing ability: you build your own pipeline through direct outreach and do not rely on inbound applications to fill roles - High AI proficiency, using it for building pipeline proactively, workflows, processes, and documentation - Proven experience recruiting technical talent within the SaaS, AI, Blockchain, and Cybersecurity sectors, with a focus on candidates who have worked in fast-paced companies building technically complex products - Consistently utilised data to inform decision making and advise hiring managers through the hiring process - Strong organisational skills, sharp attention to detail, and consistent follow-through on every candidate and requisition - The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data, in a collaborative, low-ego way YOU MIGHT ALSO HAVE: - Experience recruiting for Blockchain companies with a focus on Engineering roles - A background at a high-growth scale up technology company - A track record of hiring for technical roles in Denmark, Israel, UK, and the USA TOOLS WE USE: - Ashby ATS - Sourcing tools (LinkedIn Recruiter, Nova AI, GitHub) - Coderpad - Google suite, Slack, Chain AI AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Israel - Office - Tel Aviv Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Opportunity: Tenable is hiring a Technical Director of Architecture: a hands-on generalist who can take on any technical problem in the platform and carry it to a decision. The scope is deliberately broad. You will move between data processing and streaming, platform infrastructure, CI/CD and release engineering, application architecture, and the security surfaces our customers depend on. Some weeks you will design a pipeline that has to hold trillions of events. Others you will be inside a product team's codebase untangling a consistency problem, or writing the prototype that settles whether an approach actually works. You report to the Chief Architect and serve as a floating senior technical authority: the person teams call when a problem crosses ownership boundaries or has no obvious owner. Your Role: Architecture Across the Platform Own architectural direction for problems that span product lines: data models, service boundaries, integration patterns, and failure behavior. Work wherever the need is highest across data processing, platform infrastructure, delivery, application tiers, and security, and become productive in a new domain quickly. Maintain a rolling 6-12 month technical roadmap with a clear end state and discrete, deliverable phases. Identify systemic risk and accumulated technical debt, size the blast radius, and partner with Product Management to sequence the remediation. Hands-On Engineering Write code, review code, and prototype. Debug production problems where the diagnosis is architectural. Review design documents and pull requests deeply enough to catch what everyone else missed. Build proof-of-concepts that test a hypothesis and settle debates with evidence. Set the standard for engineering rigor through your own work. Reducing Complexity Simplify the technology surface: fewer competing choices, clearer guardrails, paved paths that teams actually take. Streamline development patterns to shorten time-to-first-change and reduce MTTR. Establish standards for how systems are designed, doc umented, and handed to operations. Influence and Leadership Act as the final technical authority in your domain and own the call once it is made. Partner with Technical Leads, Product Owners, SRE, and Data Platform teams to keep architecture aligned to business objectives. Present options to leadership with honest trade-offs and a defensible recommendation. Mentor engineers at every career stage and raise the architectural judgment of the wider organization. Drive adoption of your own designs. An architecture nobody runs is a document. AI-Augmented Engineering Use AI tooling as part of your daily practice: code generation, codebase comprehension, test generation, review, and investigation. Model the standard for the organization: where AI accelerates the work, where it misleads, and how to verify what it produces. Apply AI to architecture and operations problems, including pipeline analysis, incident triage, runbook automation, and capacity planning. Evaluate new tools and make pragmatic build-versus-buy-versus-adopt recommendations with a clear view of the risk. How We'll Measure Success: Architectural clarity: decisions documented, roadmaps with clear phase gates, an end state people understand. Delivery impact: measurable improvement in lead time, deployment frequency, change failure rate, and MTTR on the teams you have worked with. Simplification: fewer competing patterns, lower cost of change, and a faster ramp for new engineers. AI adoption: velocity and quality gains from AI-assisted engineering that hold up under measurement. Trusted partnerships: engineering, product, and SRE leaders seek you out early. Team growth: a visible lift in architectural judgment across the organization. What You'll Need: 10+ years of software engineering experience, with meaningful depth in architecture at scale. Generalist range: you have shipped in more than one of services, data, infrastructure, or delivery, and you become productive in a new domain within weeks. Hands-on fluency: you can read an unfamiliar codebase and contribute to it, write a service or a Terraform module, debug a distributed failure, and review code with authority. Systems thinking: you reason naturally about failure modes, blast radius, and second-order effects. Strong written communication: you make a hard architectural problem legible to an engineer, a product manager, and an executive. Working fluency with AI-assisted development: you use these tools regularly, understand their failure modes, and can tell when their output is wrong. Comfort with ambiguity: you take an underspecified problem, define it, and drive it to a decision. And Ideally: Depth in one area: data processing and streaming (Kafka, Spark, Flink), cloud platform and Kubernetes, or CI/CD and release engineering. Experience with cybersecurity or security product platforms. Platform engineering patterns: internal developer platforms, self-service infrastructure, golden paths. FinOps and cost optimization at scale. Public technical writing or open-source contributions. Experience moving an organization from legacy patterns to modern architecture. If this sounds like the environment where you do your best work, we'd love to meet you. Tenable is committed to Equal Employment Opportunity (EEO) — through all applicable laws and regulations at the international, federal, state, and local levels. #LI-TA1 #LI-Office We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

What You'll Do Own every customer contract end to end: draft, negotiate and close pilots, production agreements, data processing agreements, group agreements and partnerships, with marketplaces in Europe, the US, Asia, Africa and the Middle East.

Responsibilities: — Support project planning and coordination activities — Assist in communication with contractors, suppliers, and internal teams — Prepare and maintain basic project documentation — Track tasks, timelines, and project progress — Participate in site visits and technical meetings — Use digital tools to manage and report project activities Requirements: — Technical education or background (engineering, electrical, IT, automation preferred) — Strong interest in engineering projects and smart buildings — Organized, detail-oriented, and proactive mindset — Good communication and teamwork skills — Willingness to learn and develop professionally — Confident English (spoken and written) — Experience with MS Office (Word, Excel, PowerPoint) — Basic knowledge of AutoCAD or similar CAD software Nice to Have: — Internship or junior experience in construction or engineering — Ability to read technical drawings — Basic understanding of low-voltage or IT systems — Additional languages such as Russian or Greek are a plus Benefits: — To be part of a professional international team — Opportunity for growth and development — 21 days paid vacation days per year — 40 working hours paid sick leave days per year — Public holiday in accordance with the Cyprus Public Holiday list

Location: Lisbon, Portugal At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission I’m Daniel Alonso and I recently joined as CPO at Catawiki, and I previously was CPO at Glovo. My mandate is to 10x Catawiki. For that, we are 10 Product Managers in the team, meaning every individual drives no less than 10% of our platform’s evolution. I am looking for a Principal Product Manager to lead the entire Customer Service. You will report to me and will have 1 PM directly reporting to you. We have many App reviews and Trustpilot reviews complaining about Customer Service and we want to solve that. At the same time we want to reduce the costs of tackling customer contacts. So, in summary the mission is simple: Provide response to our users (Buyers and Sellers) while lowering the costs. To achieve this, AI is your best friend. My expectation of you is that you are obsessed with the metric and the target we define every semester. From there, you have autonomy to determine the best set of initiatives to achieve it. The three core characteristics, I am looking for in this role are: Self-aware: I do not ask anyone to be perfect, but it is very important to me that you are self-aware of your weaknesses and humble enough to admit when something does not meet the bar. High IQ: The problem space requires deep thinking and I expect you to be able to come up with robust solutions to problems Strong communications: There are multiple stakeholders to manage, from engineering to data to the actual CS department. Hence, it is important that you are sharp in oral and written communications I take for granted that you have 5+ years of product management experience at a high stakes role. The role is based in Lisbon and is hybrid, 2 mandatory days in the office. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll build and lead the regional team of product Subject Matter Experts who win GitLab's most complex opportunities. Your team covers four product groups: Security & Compliance, Platform, Core DevSecOps, and AI & Competitive. You'll partner with regional sales leadership to decide where SMEs go, coach your team to technical wins, and make sure every engagement leaves the Account team stronger. This is a player-coach role. You'll stay close to the technology and step into critical deals yourself. What you'll do Hire, develop and retain a regional team of SMEs across four product groups, with a clear growth path for each person. Run the regional engagement model with Account SA and Post-Sales leaders. Keep triage fast, coverage focused on the top opportunities, and the line between Account SA and SME ownership clear. Partner with regional sales leaders and AVPs on deal strategy, forecast calls and product-category plans. Review SME coverage weekly against the regional pipeline. Move capacity to where product-category commit and consumption are at risk. Step into strategic deals as an executive technical sponsor when the opportunity calls for it. Coach SMEs on PoV design, executive storytelling and competitive positioning. Hold a high bar for technical quality. Keep engagement and outcome data accurate in Salesforce so the team's impact is visible and measurable. Work with your peer regional managers and the Senior Director on shared assets, enablement programs and a consistent global playbook. Bring regional customer and competitive signals to Product and Engineering through the Senior Director. Build a team culture of trust, ownership and learning. Celebrate wins openly and treat misses as data. What you'll bring 5+ Years experience leading technical pre-sales, solutions architecture or consulting, including time leading teams of technical individual contributors. Hands-on depth in at least one of the four product groups, and enough breadth to coach across all four, including working fluency with AI-assisted development. A record of hiring and developing high-performing technical specialists or SAs. Experience partnering with sales leaders on enterprise forecasts, deal strategy and territory planning. Comfort with data. You can show how your team moves win rates, cycle times and consumption. Strong executive presence with customers and internal leaders. Experience leading through change, with clear and steady communication. Experience running an overlay or specialist team, or launching a new team or product category. Ability to travel at least 25% How you'll be measured Regional product-category commit attainment and consumption growth. Technical win rate, PoV conversion and time to production use on SME-engaged opportunities. SME coverage of the top 10% of regional opportunities, and lead time from request to engagement. Account SA satisfaction with SME support. Team hiring, ramp time, engagement and retention. EAP Participation Rates for your given geography #LI-CM1 About the team SMEs are part of GitLab's Solutions Architecture team, a trusted technical partner for the field. The SME organization brings the deepest product expertise to GitLab's most complex opportunities, scales that expertise into the Account SA team, and carries customer feedback into product direction, enablement and value messaging. The team is distributed and all-remote. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. It can't yet reason about real places well enough for robots, field crews and AI agents to rely on it, and closing that gap will change how factories, power grids, cities and defense operations run. That's one of the biggest unsolved problems in AI, and it's the one we're solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That's why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world's most widely used maps. Now we're building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE The Large Geospatial Model is Niantic Spatial's foundation model of the physical world. It learns from years of real-world captures of millions of places, and people, robots and AI agents use it to find out where they are, what is around them and what has changed. Each step up in scale has given the model capabilities it did not have before. The next problems are some of the hardest in AI: filling in the parts of a place no camera saw while marking what was inferred, measuring what changed between visits, and predicting what will change next. Customers already use the model in production. Energy companies use it to guide field crews to equipment on large industrial sites, defense partners use it for positioning where GPS is jammed or unavailable, and robotics companies train robots in metric-scale copies of the real sites they will work in. You will be the first product leader for the model and the data it learns from, reporting to the Chief Product Officer. You decide which capabilities it gains and in what order, the bar each release has to clear, and what data Niantic Spatial collects, licenses or partners for to get there. You set those priorities directly with the Chief Scientist and the London research team who train the model. If you have shipped a frontier language model, most of the job will be familiar: evals, data mix and release decisions. The job differs in two ways. Every output of this model can be scored against a measured real place, so its evals rest on ground truth. And its data is collected in the physical world, so choosing what to capture next is a product decision with a real cost. Experience in 3D or mapping is welcome but not required. By the end of your first year, research, engineering and the product leads for industrial, defense, robotics and platform customers work from one model roadmap that you own, each release ships against evals you wrote, and the model's newest capabilities are in customers' hands. WHAT YOU'LL DO - Own the Model Roadmap - Decide the order in which the Large Geospatial Model gains its next capabilities, from filling in unseen parts of a site to measuring and predicting change, based on what industrial, defense, robotics and platform customers will pay for. Turn customer problems into specific research requirements, and bring new research results to the product leads who sell into each market. - Set the Release Bar - Define the evals and acceptance criteria for each capability with the Real-World Test Lab, which measures model output against ground truth in real places. Decide whether each release ships or goes back for more data or training. - Own the Data Plan - Decide what data Niantic Spatial collects, buys, licenses or gets through partners, and set the product terms of those deals with Legal and Business Development. Set the curation, labeling, consent, privacy and training-rights requirements every dataset has to meet, and keep a record of which data went into each model version. - Turn Capabilities into Products - Decide when a new model capability is ready to become something customers buy, what it promises them, and how it reaches them through Niantic Spatial's products and platform. - Set the Long-Term Direction - Decide where the model goes over the next several years, as it moves from describing places as they are to tracking how they change and anticipating what comes next, and make the case for the research and data investment that takes. WHAT YOU'LL BRING - 8+ years in product management, including at least three years shipping a large model to users or customers. - Experience writing evals for a model and using them to decide when a release was ready. - Direct work on training data, such as setting a data mix, running labeling or human-feedback programs, or negotiating data licenses. - Enough depth in how large models are trained, post-trained and evaluated that researchers bring you into their technical decisions. Many strong candidates for this role were ML engineers or researchers before they moved into product. - Experience setting direction for research and engineering teams that did not report to you. - A bachelor's degree in computer science, engineering, or a related field, or equivalent experience. NICE TO HAVE - Experience in 3D computer vision, reconstruction, localization, mapping, geospatial data, robotics or autonomous systems. - An advanced degree in machine learning, computer vision, robotics, or a related field. - Experience with Gaussian splatting, neural fields or visual positioning systems. - Experience with government or defense requirements for data provenance and security. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.