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Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries. 💰 $100 bonus : After successfully completing the assessment. To receive the assessment, please submit your resume to this job application. If your resume is approved, you'll receive the assessment afterwards. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schema s and relationships. Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules). Write pragmatic, production-ready code that’s easy to reason about and iterate on. Optimize for correctness and performance : efficient queries, smart indexing, and lean responses. Work with the team to turn product ideas into concrete technical designs and endpoints. Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow. What We’re Looking For Strong experience building backend applications with Python + Django . Solid understanding of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real- world feedback. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast. Background in algorithms, optimization, or data-heavy systems. Experience with Google Cloud Platform (GCP) in production. Familiarity with Redis (caching, queues) and PostgreSQL at some scale. Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP. This role is a central piece of our backend roadmap , and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now. Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Location: North America - Remote Workplace: Remote Douro Labs is the core development team behind the Pyth Network. We're looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth. This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth). - Location: Remote (US or Europe) - Type: Full-time - Reports to: Head of Technical Operations About Our Team and Your Role We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate. Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm. Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction. The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data. About the Role This is a hybrid research/strategy role. At the outset, you'll monitor prediction markets and perps day to day and connect what's happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth. We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it. Responsibilities Market Monitoring - Track news, launches, and structural shifts across prediction markets and perpetual futures - Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early - Follow volumes, open interest, funding rates, and market share across major venues - Connect recent events to their impact on Pyth and share timely takeaways with the team - Maintain a current view of the competitive landscape, including oracles and data providers serving these markets User Research - Research prediction market and perps protocols to understand how they use price data - Map who our users are, what they need, and where current solutions fall short - Build dashboards and datasets the team can use to follow these markets Product Opportunities - Turn research findings into concrete product ideas for Pyth - Size opportunities using market and on-chain data - Work with product, engineering, and BD to prioritize and pressure-test ideas - Track how launched initiatives perform against the original thesis Research and Reporting - Write clear, convincing research reports for internal and external audiences - Present findings and recommendations to leadership - Build a repeatable research process the team can rely on About You - Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market - Deep understanding of prediction market and perpetual futures market structure - Active in trader communities and comfortable picking up signal from X, Discord, and Telegram - Proficient with data analysis tools (SQL, Python, Dune or similar) - Strong writer with a track record of research that drives decisions - Analytical and a self-starter, comfortable owning a research agenda independently - Comfortable with startup pace and evolving scope Think you've got what it takes to build the most talented team in the world? We'd love to meet you.

About the Role We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines. As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics. This is a full-time remote position based in Costa Rica. What You’ll Do Strategic Compensation Analytics & AI-Assisted Modeling — Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks. — AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows. — Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses. Strategic Equity Strategy & Global Program Design — Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks, including refresh plan design, grant guidelines, vesting schedules, and budget allocations. — Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS. — Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions. Workday Partnership & Data Infrastructure — Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts. — Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases. — Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. — Use BigQuery for querying, analyzing, and transforming large-scale datasets. Enablement, Change Management & Training — Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts. — Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences. — Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy. Skills We’re Looking for Experience — 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level. — Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment. — Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams. Technical & System Proficiency — Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required. — Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred. — AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred. — Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. — Experience with BI and BigQuery tools for data modeling is a strong plus. Core Competencies — Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions. — Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets. — Business & Legal Acumen: Solid understanding of core compensation and equity design concepts. Preferred Education & Certifications — Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field. — CCP (Certified Compensation Professional) is a plus. Perks and Benefits — 100% employer-paid medical insurance — Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. — RSU stock grants — Professional development and training opportunities — Company virtual happy hours, free food, and fun team-building activities — Monthly cell phone stipend — Access to an innovative mental health support platform offering personalized care and resources such as therapy, coaching, and mindfulness exercises for employees and dependents. This is a full-time remote position based in Costa Rica.

Задачи: — Разработка и внедрение AI/ML возможностей в Oracle E-Business Suite 12.2.x на Oracle Cloud Infrastructure (OCI) для автоматизации финансовой отчетности, оптимизации пользовательского опыта и повышения операционной эффективности. — Создание документа AI/ML Functional and Technical Use Cases для реализации AI-сервисов на OCI. — Разработка дорожной карты перехода AI/ML и DevSecOps с поэтапным внедрением и передачей процессов от подрядчика к государству. — Внедрение производственных AI/ML решений с использованием OCI Data Science, OCI Language, OCI Vision и AWS GovCloud. — Интеграция REST API между AI/ML моделями и бизнес-процессами Oracle EBS для автоматизации поддержки принятия решений. — Применение методов обработки естественного языка для анализа финансовых документов и автоматической генерации отчетов. — Использование когнитивных наук для улучшения взаимодействия пользователей с AI-расширенными ERP процессами. — Руководство исследованиями в области обучения, моделирования компетенций и когнитивных метрик для внедрения AI. — Разработка метрик производительности для оценки эффективности использования AI в рабочих процессах. — Применение методов обнаружения знаний и анализа данных к неструктурированным операционным данным для поддержки аудита и автоматизации. — Активное участие в планировании и проведении Agile мероприятий (PI planning, daily standups, итерации). — Создание пользовательских историй с критериями приемки и приоритизация задач совместно с Product Owner. — Доставка рабочих AI/ML функций в двухнедельных итерациях с демонстрацией результатов. — Устранение технических препятствий для внедрения AI, взаимодействие с ведущим инженером по системам. — Согласование архитектурных решений AI/ML с общей архитектурой DAI и инфраструктурой OCI. — Подготовка технической документации и материалов по передаче знаний для поддержки после окончания контракта. — Содействие интеграции развертывания AI моделей в CI/CD пайплайн на платформах DevSecOps, одобренных DLA. Требования: — Минимум 5 лет опыта разработки AI/ML для корпоративных систем. — Опыт работы с искусственным интеллектом, машинным обучением, обработкой естественного языка, обнаружением знаний и анализом данных на реальных операционных данных. — Владение Java, C/C++ или Python с опытом написания производственного кода на одном из языков. Условия: — Работа в рамках программы Defense Agencies Initiative (DAI) для Defense Logistics Agency.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Senior Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for an experienced and operationally sharp Security Operations & Incident Response Analyst (L3) to join Aleph's global IT Security team. Reporting to the Global CISO, you will be the first line of defence when incidents occur and the engine behind the team's threat detection and response capabilities. You will own the end-to-end incident response process, lead threat hunting and intelligence activities, and manage the vulnerability and identity governance programmes — ensuring Aleph is both able to detect threats quickly and respond to them effectively across a complex, globally distributed environment. What you'll do: Incident Response Own and coordinate the end-to-end incident response process : identification, triage, containment, eradication, recovery, and post-incident review (lessons learned). Serve as the primary point of contact for security incidents escalated from IT Operations, the Security Engineer, and external sources. Maintain and continuously improve incident response playbooks for the most relevant threat scenarios (ransomware, phishing, account compromise, data breach, insider threat, etc.). Manage the security incident log and register : track all incidents, document timelines and actions, and produce trend analysis and reporting for the CISO. Coordinate with external SOC or MDR providers where applicable: review daily reports, validate alert quality, and manage escalation workflows. Data Breach Management Lead data breach investigations : scope the breach, gather and preserve evidence, assess PII exposure, and coordinate response with Legal, Privacy, and HR. Produce breach investigation reports with findings, root cause, and recommendations. Threat Hunting & Intelligence Conduct proactive threat hunting across the environment: develop hypotheses based on threat intelligence, search for indicators of compromise (IoCs), and investigate anomalous behaviour. Manage the Threat Intelligence function : track relevant threat actors, TTPs (MITRE ATT&CK), and sector-specific threat campaigns; integrate intelligence into SIEM/XDR detection rules and hunting queries. Produce threat intelligence summaries and briefings for the CISO and relevant stakeholders. Vulnerability Management Own the vulnerability management programme : schedule and execute periodic vulnerability scans across infrastructure, endpoints, and cloud environments. Analyse scan results, prioritise findings by risk and exploitability, and coordinate remediation with IT Operations within agreed SLAs. Track remediation progress, produce vulnerability metrics, and report status to the CISO. Validate remediation effectiveness through re-scanning and spot-checks. Identity & Access Management (IAM) Manage periodic access reviews : coordinate with system owners and HR to review and certify user permissions across critical systems, ensuring least privilege is maintained. Oversee the Privileged Access Management (PAM) programme: define PAM policies, monitor privileged account usage, and review access rights for administrator-level accounts. Investigate and respond to identity-related anomalies and access policy violations. What we are looking for: 3–5 years in a SOC analyst, incident response, or security operations role, with at least 1–2 years at L3 level is a plus. Experience implementing or managing IAM and PAM solutions Experience working within international or multinational environments. Hands-on experience with incident response engagements (internal or consulting) is strongly valued. Relevant certifications: GCIH, GCFE, GCFA, CEH, CompTIA CySA+ , or equivalent. OSCP is a plus. Strong hands-on experience with SIEM platforms (alert triage, rule writing, query development) and EDR/XDR tools . Solid knowledge of the MITRE ATT&CK framework and its application to threat hunting and incident response. Experience conducting vulnerability scans using tools such as Tenable Nessus, Qualys, Rapid7, or similar. Familiarity with IAM and PAM concepts and platforms (e.g. CyberArk, BeyondTrust, Azure PIM, or equivalent). Experience with digital forensics and incident response (DFIR) methodologies: evidence collection, log analysis, and timeline reconstruction. Knowledge of threat intelligence platforms and feeds (e.g. MISP, VirusTotal, threat intel feeds). Understanding of ISO 27001 incident management controls, NIS2 incident reporting obligations, and PCI DSS requirement 12.10 . Calm and decisive under pressure. Strong investigative mindset with structured problem-solving approach, excellent documentation skills. Ability to communicate incident status and findings clearly to both technical teams and executive stakeholders. Collaborative and proactive, comfortable working asynchronously across time zones. English : full professional proficiency (C1/C2) — primary working language. Spanish : professional proficiency is a plus. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.   #Aleph Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Bangalore, India 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. Engineering Manager, Production Engineering - Observability An overview of this role You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost. In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable. What you’ll do Lead, hire, onboard, and develop a distributed engineering team working asynchronously. Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively. Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms. Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services. Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing. Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting GitLab.com . Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions. Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions. What you’ll bring Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment. Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design. Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions. Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts. Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work. The ability to explain technical tradeoffs to engineering partners and other stakeholders. Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage. We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification. About the team We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build. 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 .

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

This is an individual contributor role in the Employer of Record (EOR) Operations team at Remote, focused on Benefits operations. The role involves providing support to employees and clients regarding benefits plans, including pricing, coverage, claims, enrollment, invoicing, and vendor platforms. Responsibilities include processing tickets and escalations via Zendesk and email, executing data-related tasks with care and precision, helping define and execute Standard Operating Procedures, collaborating with the Benefits team and other departments to analyze customer needs and deliver solutions, providing analytical, administrative, and technical support to maintain benefits programs, maintaining operations process documents, identifying automation opportunities, and documenting knowledge systematically in Notion. The role requires being proactive and able to initiate and complete tasks independently, while championing Remote's values and Benefits team's goals. Requirements include experience in HR Operations Employee Benefits, ideally with US PEO services, strong customer service orientation, organizational and time management skills, strong verbal and written communication skills in English, ability to work in a fast-paced environment using various tech tools, and embracing AI and automation for efficiency. Remote work experience is a plus but not required. The position reports to the Benefits Operations Manager and is part of the Operations - Benefits team located in the AMER region. The annual salary range is $35,250 to $89,250 USD. Benefits include flexible paid time off, flexible working hours with asynchronous work culture, 16 weeks paid parental leave, budgets for co-working spaces, learning and wellness (including gym memberships), mental health support, stock options, home office budget, and IT equipment. Remote fosters internal mobility and ensures fair, unbiased compensation and pay equity globally. The application process includes profile review, recruiter interview, written challenge, interviews with the Benefits Operations Manager and Director of Benefits, and a Bar Raiser interview. Candidates are encouraged to apply with a CV or LinkedIn profile in English. Remote prioritizes diversity, inclusion, and accommodations during the hiring process.

About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. Responsibilities: — Serve as a named resource and partner for customer organizations. — Build and maintain trusting relationships, acting as a technical resource for day-to-day operational needs. — Act as a point of contact for any major customer incidents, managing expectations and communications through resolution. — Analyze customer data such as support cases, survey responses, and renewal behaviors to identify technical trends and risks. — Act as the voice of the customer internally to advocate for their needs. — Monitor and identify adoption and utilization trends, providing recommendations based on risk and customer needs. — Provide proactive guidance on Ping's features based on the customer's interests and business objectives. — Occasionally travel to customer sites and be available for some after-hours or weekend coverage as needed. — Willingness to be a hands-on contributor. Qualifications: — Minimum of 4 years of related experience in Customer Success / Experience. — Experience in consulting and implementation of IT systems, preferably cloud service and/or identity management. — Strong technical aptitude to learn customer use cases and architectural requirements for Ping solutions. — Naturally curious and proactive approach to uncovering adoption blockers and risks. — Experience with SFDC, Gainsight, or equivalent CRM systems. — Solid technical understanding of Cloud Solutions. Salary Range: $76,000 - $95,000 + variable pay In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities. Life at Ping: — Flexible, collaborative work environment. — Growing company with innovative, can-do startup values. — Employee Resource Groups creating a sense of belonging. — Regular company and team bonding events. — Competitive benefits and perks. — Global volunteering and community initiatives. Benefits: — Generous PTO & Holiday Schedule — Parental Leave — Progressive Healthcare Options — Retirement Programs — Opportunity for Education Reimbursement — Commuter Offset (Specific locations) Ping is committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. They are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Задачи: — Анализировать органический трафик, позиции, поисковые запросы, CTR и данные Google Search Console. — Собирать и кластеризовать семантику, анализировать поисковый интент и SERP. — Проводить SEO-аудит сайта и находить технические проблемы. — Работать с индексацией, canonical, redirects, sitemap, robots.txt, дублями и каннибализацией. — Оптимизировать структуру сайта и внутреннюю перелинковку. — Работать с on-page SEO: Title, Description, H1-H3, URL и контентом страниц. — Анализировать конкурентов и находить новые точки роста. — Определять, какие страницы нужно создать, обновить, объединить или доработать. — Формировать SEO-требования и ТЗ для новых страниц и больших групп однотипных страниц. — Ставить SEO-задачи разработчикам и контент-команде, контролировать их выполнение. — Оценивать результаты изменений и приоритизировать следующие SEO-задачи. Требования: — Практический опыт SEO-продвижения сайтов. — Хорошее понимание technical SEO, on-page SEO и content SEO. — Умение работать с семантикой, поисковыми интентами и SERP. — Опыт работы с Google Search Console, Google Analytics, Ahrefs, Semrush или аналогичными инструментами. — Понимание индексации, crawling, canonical, redirects, sitemap и robots.txt. — Опыт анализа структуры сайта и внутренней перелинковки. — Умение находить причины роста или падения органического трафика. — Опыт постановки SEO-задач разработчикам и контент-команде. — Английский на уровне, достаточном для работы с англоязычным SERP и контентом.

Location: Riyadh, Saudi Arabia The Botanic Garden Maintenance Specialist is responsible for the specialised maintenance, environmental management, and plant-health care of botanic collections, with particular focus on rare, delicate, and environmentally sensitive species. The role ensures that greenhouses, conservatories, specialised plant areas, and associated horticultural systems maintain optimal growing conditions through systematic monitoring, preventative maintenance, and effective environmental control. Key Responsibilities Maintain optimal environmental conditions across greenhouses, conservatories, and specialised plant areas, including temperature, humidity, lighting, ventilation, and irrigation. Conduct regular plant-health inspections and identify signs of stress, pests, diseases, nutrient deficiencies, and environmental issues. Implement specialised care and maintenance protocols for rare, sensitive, and high-value plant collections. Operate, monitor, maintain, and troubleshoot irrigation, environmental control, lighting, sensors, and other horticultural systems. Manage irrigation and fertilisation programmes according to plant requirements, seasonal conditions, and water quality. Monitor soil, growing media, substrates, drainage, moisture, and root-zone conditions, and prepare or amend growing media as required. Implement greenhouse and conservatory cleaning, sanitation, sterilisation, and biosecurity procedures. Support Integrated Pest Management (IPM) and preventative plant-health programmes. Qualifications Bachelor's degree in Horticulture, Botany, Plant Sciences, or a related discipline. Specialist certification or training in greenhouse management, controlled-environment horticulture, irrigation, plant health, or horticultural equipment maintenance is advantageous. Fluency in English and Arabic is required. Experience Minimum 5 years of relevant professional experience in botanic garden maintenance, greenhouse operations, conservatories, specialist horticulture, or a comparable environment. Proven experience caring for rare, delicate, sensitive, or high-value plant collections. Hands-on experience with controlled-environment systems, irrigation, fertilisation, growing media, plant-health management, IPM, and greenhouse hygiene. Experience operating, troubleshooting, maintaining, and calibrating horticultural and environmental monitoring equipment. Experience implementing preventative and seasonal maintenance programmes and maintaining detailed technical and plant-health records. Experience working collaboratively with horticulture, facilities, engineering, contractors, and specialist technical teams. Previous experience in a botanic garden, conservatory, major public garden, research facility, or specialist horticulture environment is preferred. Core Competencies Specialist knowledge of botanic garden and controlled-environment horticulture. Strong plant-health assessment and diagnostic skills. Knowledge of irrigation, plant nutrition, soil and substrate management, IPM, and biosecurity. Strong technical and preventative-maintenance skills. Ability to interpret environmental monitoring data and respond to changing plant and system conditions. High attention to detail when working with sensitive collections. Strong planning, record-keeping, problem-solving, and organisational skills. Effective written and verbal communication and teamwork. Commitment to plant conservation, sustainability, safety, and horticultural excellence.

Location: Spain; Italy; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We’re looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements: - 4-6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in Spanish is essential, with additional fluency in Italian highly desirable Location This role is remote across the Spain but Madrid is preferred. #LI-remote   We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: Help turn “I built a business” into “I have customers.” As a Staff Software Engineer on Replit’s Money team, you’ll help shape Agentic Ads: an emerging area focused on using AI to make customer acquisition more accessible to businesses built on Replit.   This role focuses on intelligent, advertiser-facing software—not ad-serving infrastructure, an ad exchange, or a real-time bidding engine. You’ll tackle problems at the intersection of AI, business growth, measurement, and trustworthy automation, turning complex decisions into clear, useful experiences.   You’ll help define a new product area, working closely with product, design, and engineering to discover customer needs and deliver practical solutions. This is a hands-on Staff role: you’ll own architecture, lead delivery across teams, mentor engineers, and turn an ambitious vision into incremental customer value. YOU WILL: - Set technical direction for Agentic Ads, translating customer needs into an architecture and roadmap that balance rapid learning with long-term reliability. - Build agent-powered experiences that help businesses make informed growth decisions, translating user goals into understandable recommendations and appropriately authorized actions. - Design extensible integrations with external services, using well-defined APIs and abstractions that accommodate changing provider capabilities and requirements. - Partner with product and data teams to establish reliable measurement, connect product activity to business outcomes, and address data quality, delayed feedback, and uncertainty. - Develop intelligent automation that learns from performance signals and helps users improve outcomes within their goals and constraints. - Make financial control a product requirement: scoped authorization, explicit approvals, budget limits, auditable decisions, clear reporting, and reliable pause controls. Distinguish recommendations from actions that commit customer spend. - Make cross-platform workflows reliable with durable state, idempotency, safe retries, reconciliation, observability, and recovery from partial failures, expired credentials, rate limits, and provider API changes. - Establish agent evaluations and production monitoring for plan quality, tool selection, policy compliance, spend safety, and verified execution. Partner on experiments that distinguish attributed results from incremental customer value. - Lead ambiguous initiatives across product, design, AI, data, security, and partnerships. Stay hands-on with implementation, define incremental milestones, mentor engineers, and own the quality and operation of what the team ships. REQUIRED SKILLS AND EXPERIENCE: - A track record of Staff-level technical leadership on complex customer-facing products or platforms: setting direction, resolving ambiguity, and delivering through launch and production operation across multiple teams. - Strong hands-on software engineering and system design skills across APIs, data modeling, distributed systems, asynchronous workflows, and customer-facing product experiences. - Experience building and operating third-party integrations that remain correct under duplicate requests, partial failures, rate limits, changing schemas, and inconsistent external state. - Practical experience shipping LLM-powered products or agentic workflows, including tool use, orchestration, evaluations, and safeguards for actions taken against external systems. - Strong data and measurement judgment: experience using instrumentation and experiments to evaluate product outcomes, and the ability to reason about noisy data, delayed feedback, uncertainty, and correlation versus causation. - Sound judgment around systems that act on a user’s behalf, including authentication, authorization, sensitive data, approval boundaries, and limits on consequential actions. - Demonstrated ability to align cross-functional teams, explain technical trade-offs, mentor engineers, and drive execution without relying on reporting authority. - A product-minded approach to simplifying complex workflows for non-experts, with hands-on ownership from prototype through reliable production operation. PREFERRED QUALIFICATIONS - Experience building advertiser-facing products, marketing automation, campaign-management tools, growth platforms, or software that helps businesses acquire customers. - Experience integrating advertising or marketing APIs; familiarity with account onboarding, campaign lifecycles, and platform requirements. - Working knowledge of conversion tracking, attribution, customer acquisition cost, return on ad spend, budget pacing, and the limits of optimizing with low conversion volume. - Experience with experimentation, incrementality measurement, constrained optimization, recommendation systems, or decision-making under uncertainty. - Experience building permissioned, multi-tenant products with approval workflows, budget controls, audit trails, and privacy-aware handling of customer and conversion data.   BONUS POINTS: - Experience with agent tooling, durable workflow execution, delegated authorization, or evaluation frameworks for agents that take consequential actions. - Experience connecting application events or server-side conversion signals to advertising platforms, or integrating creative generation and landing-page experimentation into growth workflows. - Experience building for small businesses or first-time advertisers, where clear guidance, limited budgets, and sparse data shape the product. - These are additional strengths, not a checklist. Experience with every ad platform is not expected; ad-serving infrastructure experience and an ML research background are not prerequisites. WHAT WE VALUE: - Customer outcomes: success means helping a business acquire qualified leads and customers—not merely connecting an account, launching a campaign, or increasing spend. - User control and trust: agents explain recommendations, act within explicit authority, and make budgets, costs, and consequential changes understandable. - Evidence over activity: we validate measurement, acknowledge uncertainty, and test whether a change improves business outcomes rather than treating attribution as proof of causality. - End-to-end ownership: we own the journey from a business goal through campaign execution, measurement, and ongoing improvement. - Pragmatic technical leadership: we build on existing ad platforms, ship focused increments, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses Structure and negotiate complex technology, data, and partnership agreements Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national security and compliance teams to resolve them Build and maintain self-serve guidance, templates, and AI-assisted review tools so routine purchases don't wait on Legal Manage outside counsel for specialist questions and overflow volume Cover other technology or hardware transactions on the Legal team as needed Minimum qualifications JD and active membership in at least one U.S. state bar (California preferred) Hands-on experience buying hardware and firmware, components, and software in high volume, fast-paced environments Deep experience leading complex deals, such as technology or data licensing, joint development, or supply partnerships Working knowledge of international supply chains and how sourcing choices (and their associated risks) show up in contracts (lead times, single-source risk, warranties, country of origin, higher risk jurisdictions) Working knowledge of trade and regulatory compliance for hardware, including export controls, sanctions, tariffs and customs Clear, plain communication with scientists, engineers, and operators, so legal risk turns into a decision they can act on A low-ego, "doer" attitude and real interest in taking on work outside your core practice area Intense curiosity about AI and emerging hardware, and a commitment to responsible AI development Preferred qualifications At least 8 years of legal experience in hardware or a closely related technical space, with the judgment to run risk assessments and deals on your own from day one In-house time at a hardware-intensive technology company (such as electronics, industrial automation, or complex devices) while it was scaling quickly Experience supporting product or engineering teams as a dedicated counsel Experience with facilities or on-site vendor services, including the insurance and safety questions An engineering, product, or other technical background Experience using AI tools to speed up your own legal work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work . This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $119,641 — $143,575 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive and organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk without heavy oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $119,641 — $143,575 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. As an Account Manager, Brands at Sensor Tower, you’ll play a key role in managing the account renewal and growth of our customer base while working closely with Sensor Tower Customer Support as needed to ensure a positive customer experience. You’ll also be instrumental in helping to build our process around renewals management and advocate for process updates to improve operational efficiency. You will act as a trusted advisor to enterprise brand clients, ensuring they maximize the value of Sensor Tower’s market intelligence platform. By bridging commercial strategy with operational excellence, you will drive long-term retention, identify strategic expansion opportunities, and streamline our internal workflows. What you will do: - Manage a portfolio of businesses, focusing on renewals, upsells, and Net Revenue Retention (NRR) growth. - Oversee all assigned contract renewals to ensure timely and accurate execution - Accelerate the contract renewal process, mitigate identified risk, and ensure customer satisfaction - Own contract processes, including renewal CTA management, quote creation, maintenance of Salesforce opportunity records, sending of order forms, forecasting renewals outcomes, and tracking progress of signature - Work with Customer Support team (where needed) to identify at-risk accounts and put together a strategy to secure the renewal, as needed - Partner with Customer support and Sales Ops to communicate challenges in our current renewal process and advocate for improvements to increase our operational efficiency - Identify opportunities to expand Sensor Towers footprint within an account as part of the renewal process - Build strong relationships with customers through a regular cadence of calls, face-to-face meetings and on-site visits where possible. Use these conversations to understand their priorities, demonstrate value, address objections and identify renewal and expansion opportunities. - Build account plans that identify renewal risk, stakeholder changes, product adoption gaps and opportunities for expansion well ahead of contract expiry. - Lead commercial negotiations with customers and their procurement and legal teams, including pricing, contract structure and multi-year agreements. - Develop relationships with decision-makers across multiple teams and regions within each account. - Translate customer goals into relevant use cases across Sensor Tower’s products, and partner with internal specialists on demonstrations, insights and custom data requirements. - Maintain an accurate renewal and expansion forecast, with clear next steps and escalation plans for at risk accounts. - Hold regular commercial reviews with key stakeholders to understand budget plans, confirm renewal timelines and build support for continued investment. Experience and skills that you can bring: - Must be wiling to work from our London office three days a week. - Experience in SaaS sales as an Account Executive or Account Manager. - Strong understanding of the SaaS industry and digital ecosystem. - Ability to identify product penetration, renewal, and upsell opportunities within the managed customer base. - Ability to present complex data solutions in a clear and concise manner to a variety of audiences, including non-technical. - Self-starting attitude and entrepreneurial spirit highly encouraged! - An eye for detail following the industry trends and interpreting these into day-to-day business impact. - Enjoy working in small, fast-paced teams where you can take initiative and accountability and generate - results every day. - Experience managing complex SaaS renewals and expansions involving multiple stakeholders, products or regions. - Strong commercial judgement, including the ability to defend value, handle pricing objections and balance customer needs with revenue goals. - Confidence working with procurement and legal teams to move agreements through to signature. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.