Вакансии

Location: San Francisco, CA, USA About the Role Chime's Growth Engineering team is focused on building product experiences that directly move business metrics and help millions of people achieve financial progress. As a full stack Growth Engineer, you'll work across the stack - React and TypeScript on the front end, Rails and Go services behind it - to build features that drive member growth at Chime. You'll collaborate closely with product, design, data science, marketing, and analytics to experiment rapidly, drive measurable outcomes, and scale impactful solutions. This role is perfect for engineers who thrive in fast-moving environments, want to help define new products or experiments, and are passionate about helping Chime grow faster and smarter. In this role, you can expect to Build and ship growth-focused consumer features end to end - React and TypeScript interfaces, the services and APIs behind them, and the experiments that measure them Collaborate cross-functionally with mobile, product, design, data science, and marketing teams to identify member pain points and opportunities Rapidly prototype and launch A/B tests, iterating on ideas that improve activation, conversion, and engagement Analyze the performance of features post-launch to inform future iterations and growth strategies Apply a metrics-driven mindset to decision-making and prioritize efforts based on member and business impact Improve reliability, scalability, and performance across the stack - from page load and funnel conversion on the client to latency and throughput in our services Contribute to a culture of technical excellence through mentorship, code reviews, and driving best practices To thrive in this role, you have 2+ years of experience building scalable software in production environments Proven experience with both a modern front-end framework (React or comparable) and a server-side framework (Ruby on Rails, Go, or comparable) Experience designing APIs and working with transactional databases and caching, plus client-side state, performance, and component-driven UI Comfort owning a feature across the full stack, and eagerness to learn the parts you haven't touched yet A product mindset with a strong bias toward experimentation, iteration, and measuring impact Exposure to large-scale architecture patterns and an appreciation for clean, maintainable code #LI-Onsite #LI-AC2 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $133,000 — $184,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE We’re looking for a Staff Product Manager to own Wealthsimple’s Connectivity Platform, spanning two critical areas: - Brokerage & Bank Linking: How clients securely and reliably connect external financial institutions to Wealthsimple. - Public API: How clients and partners securely access and use Wealthsimple financial data outside of Wealthsimple. Together, these capabilities define how Wealthsimple connects to the broader financial ecosystem, and how every product team inside Wealthsimple builds on the external financial data that flows through it. This role will set the strategy for that platform and turn it into a reliable, scalable and differentiated capability for our clients, our product teams and our partners. This is a platform role with a meaningful client experience surface. You’ll need to be equally comfortable thinking about APIs, data models and platform architecture as you are designing a client UX or deciding how Wealthsimple should work with an external provider. ABOUT THE TEAM The Brokerage & Bank Linking team builds the technology that lets clients link their outside bank and brokerage accounts to Wealthsimple. It owns the automated and manual linking experiences end to end, along with the three connectors behind them: Plaid, Flinks, and WST, our own in-house connector. That makes it one of the highest leverage surfaces in the company, and powers a growing set of experiences built by other product teams. WHAT YOU’LL OWN Connectivity Strategy - Set the long term vision and strategy for how Wealthsimple connects with the broader financial ecosystem. - Define the capabilities we should build ourselves, where we should rely on partners, and where we can create differentiated client value. - Develop a roadmap that balances immediate product needs with investments in reusable platform capabilities. Brokerage & Bank Linking - Own the end to end experience for connecting external bank and brokerage accounts to Wealthsimple — automated and manual, including how clients recover when an automated connection fails. - Improve connection success, reliability and coverage across institutions, and own the routing strategy that decides which connector handles which institution and flow. - Own the client experience, including institution selection, authentication, errors, recovery and connection management. - Drive reliability and AI Powered self-healing so connections detect and recover from failure without manual intervention. - Balance conversion against fraud exposure and operational load, making those tradeoffs deliberately with our risk and operations partners. - Develop the platform capabilities that allow Wealthsimple products to consume external financial data consistently. - Own relationships and product integrations with connectivity vendors such as Plaid and Flinks, and decide where our own connector should lead — including how much of the connector business Wealthsimple should be in long term and where it makes more sense to partner. Public API - Own the strategy and roadmap for Wealthsimple’s Public API and external data connectivity. - Make it safe and easy for clients to permission their Wealthsimple financial data to the products and services they choose. - Define the platform capabilities required for authentication, consent, permissions, data access and partner integrations. - Identify and prioritize the partners and use cases that matter most to Wealthsimple clients. - Build toward a world where Wealthsimple is the financial institution where clients have the most control over their financial data. - Accelerate wealthsimple and our industry toward open banking. SKILLS YOU BRING You’re a strong product thinker who can operate across platform infrastructure, external ecosystems and client experience. You likely have: - Experience owning a platform, API, developer product or integrations platform, with a track record on metric-attached outcomes like conversion, success rate or reliability — not only feature delivery. - Enough technical depth to work closely with engineers on APIs, authentication, data models, routing and platform architecture. - Experience delivering through external vendors or partners whose roadmaps you don’t control, including making thoughtful build versus buy decisions and holding vendors accountable for product outcomes. - Comfort treating reliability as product work — error taxonomies, failure recovery, observability, and the operational load a product creates. - Experience weighing growth against fraud, risk and compliance, and holding both sides of that tradeoff. - The ability to turn a collection of technical capabilities into a clear product strategy and compelling long term vision, and to make the case for investing in it. - Strong analytical instincts and comfort using data to understand reliability, conversion, coverage and product performance, including building the measurement where it doesn’t exist yet. - Excellent cross functional leadership across Engineering, Design, Security, Legal, Compliance, Operations and external partners. - A bias toward simplifying complicated systems rather than layering more complexity on top of them. NICE TO HAVES - Experience with open banking, Canada’s consumer-driven banking framework, or building to a data sharing standard - A background in financial data aggregation, whether at an aggregator, a bank, or a fintech consuming one - Experience shipping a public API or developer platform as a commercial product, including partner onboarding and support WHAT GREAT LOOKS LIKE You won’t just operate Bank Linking and ship API endpoints. You’ll create a coherent connectivity strategy for Wealthsimple: making it easier for clients to bring their financial life to Wealthsimple, easier to move their financial data where they want it to go, easier for any team at Wealthsimple to build on that data, and increasingly less dependent on the slow pace of connectivity innovation from incumbent financial institutions. You’ll also have made the case for what this platform should become — the metrics, the roadmap and the investment argument that get it there. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Malta As a Platform Engineering Tech Lead , you will provide hands-on technical leadership for a team responsible for building and operating cloud and platform capabilities that power our applications and customer experiences. Your primary focus will be AWS, cloud, edge and platform technologies , while working closely with other Platform Engineering specialists, including our Kubernetes Tech Lead. You will help shape technical solutions, work with Architects, build POCs, review implementations and get hands-on with the technology when needed. This is a role for someone who enjoys being close to the technology while also helping engineers solve complex problems, raising engineering standards and driving the platform forward. A taster of what you will be involved with Provide hands-on technical leadership – Shape technical solutions with Architects, define technical approaches, conduct POCs and drive engineering standards across cloud, edge and platform technologies. Build and enable the team – Coach and unblock engineers, share knowledge and promote collaboration so that knowledge is distributed and no single person becomes a point of failure. Support technical assessments and code reviews. Drive reliability and operational excellence – Lead technical incident response and RCA, ensuring solutions are production-ready, resilient and have appropriate rollback strategies. Observability as a first-class concern – including logs, metrics, traces and SLOs. Drive cloud and platform evolution – Build and improve AWS-based capabilities through automation, Infrastructure as Code and modern platform engineering practices, while identifying opportunities for innovation and modernisation. Collaborate across Platform Engineering – Work closely with Kubernetes, Observability, Delivery, Security and Architecture teams to ensure our platform operates as a cohesive ecosystem. What we’re looking for Strong experience in AWS and cloud engineering in production environments. Experience with AWS edge and networking technologies, such as CloudFront, Route 53, WAF, load balancing, CDN and edge computing. Good working knowledge of Kubernetes and containerised platforms and the ability to work effectively alongside Kubernetes specialists. Strong experience with Infrastructure as Code and automation, particularly Terraform and Ansible, along with modern CI/CD practices. Comfortable remaining hands-on with code, infrastructure, configuration and troubleshooting. Experience with code reviews, technical design discussions and POCs. Strong understanding of observability and reliability, including logs, metrics, traces and SLOs. Experience mentoring engineers and providing technical leadership without relying on formal management authority. Strong communication skills and the ability to clearly explain technical decisions, trade-offs and risks. Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! Product Development at Betsson Group Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Amsterdam, Netherlands; Berlin, Germany; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead. With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking. In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers. You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons. At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities. In this position, you will be responsible to: Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis. Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback. Maintain the technical vision for your area of responsibility. Collaborate with the Product Manager and Service Owner to shape product vision and plans. Examples of outcomes you could drive as a Team Lead Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company. Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades. Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency. Deliver managed Layer 7 load balancers to reduce operational overhead for customers. What you will bring to the table: 8+ years of professional software engineering or management experience Excellent knowledge of Golang, or you are ready to quickly switch to this programming language Expertise with Multi-month technical projects Tech leading engineers Owning multi-month technical projects. It would be an added bonus if you had: Experience with Team management, Kubernetes administration, Developing Kubernetes controller. #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are looking for a BA to join a team that develops high-load services for video streaming, both on the server side and on the UI side. Responsibilities Requirements Elicitation & Specification: Gather and validate requirements with stakeholders; translate them into clear, testable artifacts (epics/features, user stories/use cases, acceptance criteria, business rules, edge cases, etc.). Use appropriate modeling (flows, state/decision logic, process models) when it improves clarity. Requirements Lifecycle Management: Maintain requirements throughout delivery — manage changes, document decisions and assumptions. Knowledge Base Ownership: Create and maintain a structured, searchable knowledge base for product behavior and business rules; ensure documentation is accurate, current, and consistently organized. Cross-functional Communication & Alignment: Serve as the primary bridge between Product and Engineering; drive alignment across Product, Design, QA, and Tech on scope, risks, dependencies, and constraints. Communicate complex logic with maximum clarity and minimal context loss. Quality & Validation Support: Support delivery quality by reviewing scenarios and acceptance criteria, collaborating with QA, and participating in validation of shipped features against intended requirements. AI-Assisted Analysis: Use AI tools (LLMs) to improve speed and quality of BA work (drafting and refining requirements, consistency checks, scenario generation, documentation maintenance), while applying rigorous verification and maintaining accountability for correctness. You’ll thrive here if you have Experience: 5+ years as a Business Analyst in product development, working closely with cross-functional delivery teams. Strong BA Craft: Demonstrated ability to structure ambiguous problems, define business rules, and produce clear, testable requirements with appropriate depth. Analytical Speed: Ability to quickly understand existing complex product logic, identify gaps and risks, and document behavior in a way that is usable by both technical and non-technical stakeholders. Documentation Excellence: Strong, structured writing skills; ability to create documentation that is concise, consistent, and easy to navigate and maintain over time. AI Proficiency: Practical experience using modern AI/LLM tools in day-to-day analysis work to increase throughput and improve quality (not just basic prompting). Stakeholder Management: Ability to influence without authority, facilitate discussions, and drive decisions in a fast-paced environment with changing priorities. English: Upper-Intermediate (B2) or higher; documentation and discussions are conducted in English. Conditions We know that great talent deserves great conditions, so here’s what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Test task; Technical interview (1.5 hours); Final interview (1 hour); Recommendations check; Job Offer.

Location: Abu Dhabi, United Arab Emirates We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies, making us a leading and trusted partner every step of the way. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. The Role? The primary responsibility is to support the deck & lifting operations on the client platform as per company processes and procedures and demonstrate safety leadership and continuous development in all aspects of crane, lifting, and support service activities. Main Responsibilities & Key Result Areas Lifting AP shall perform and be responsible for the following: - Is designated to prepare lift plan & procedure as per client & company standard. Is designated as being in charge of planning, coordinating, controlling and executing the lift. Be responsible for coordinating CONTRACTOR's Riggers to conduct all vessel lifts and those on the platform as directed by Crane Supervisor or COMPANY personnel Ensures that people involved are competent for performing their task, aware of the task and procedures to be followed, and aware of their responsibilities. Briefs people involved in or affected by the lift. Ensure all necessary test certificates and other documents are available Shall be responsible for the management of client / COMPANY- owned and supplied loose lifting equipment. Be fully trained and conversant with loose lifting equipment rigging loft management procedures i.e. maintain a lifting equipment data base & issuance register consisting of the following; I. Inventory of equipment. II. Test certificate. III. Damage loss report register Booking in & out sheets detailing the name of person using equipment, date of issue, description etc. In line with clients / COMPANY's Bi-annual lifting equipment campaign assist TPI with inspection & recertification of lifting equipment. Carry out Banking/Signalman duties as and when required. Ensures the lift is carried out following the plan. Suspends the lift if changes or conditions (eg, wind) occur that would cause a deviation from the plan. Plan and risk assess all routine and up to non-routine complicated crane-lifting operations associated with the day-to-day running of the client / COMPANY platforms. Supervise all lifting operation on client / COMPANY platforms, including non-routine complex lifts. once approved by Integrity Division. Selecting the correct crane and accessories for the specific task. Checks that load integrity and stability are satisfactory; Ensure all other statutory requirements and any necessary work permit are in place . Identify all hazards and restricted areas. Emergency Procedures in case of damage or impairment to the crane during operation, and for safe recovery of the crane to a holding location on the installation. Ensuring that the person directing crane movements (Signaller / Banksman) is readily identifiable to the crane operator by wearing high visibility clothing or distinguishing markings. Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, eg, helicopter operations, ballast control, other cranes. Checks that there is no deviation from standards for routine lifts. Ensuring that the workplace is provided with adequate lighting for night lifting. Complete reports, lifting operation risk assessments, logs and other documentation, as required. Ensure competent supervisor is available should the Appointed Person delegate his duties of part thereof to others Have sufficient general engineering knowledge of loose lifting equipment to carry out daily inspection routines. Ensures that the lifting equipment is maintained, examined and appropriate for use. Carry out platform emergency duties under the direction of nominated personnel. Be multi-skilled in other platform duties including operating of firefighting equipment and undertaking fire standby and deck duties, when required. The Appointed person can delegate his duties to competent personnel however the responsibility is still with the Appointed Person. The Appointed person has the authority to stop operations where danger is likely to arise if operations continue. Requirements Be at least 32 years of age and above. Have at least 3 years Diploma in Mechanical Engineering or equivalent. Knowledge of AutoCAD & MS Office are mandatory. Shall have ADNOC Training center approved certification. Have relevant oil & gas offshore and onshore lifting-related experience of not less than 10 years in the same area of application with 5 years in a similar position. Have adequate training and hands on professional experience and be competent to act as an Appointed Person for lifting equipment. Shall be able to write Lifting plans, and supervise and execute critical lifting in oil & gas companies. Have focus on HSE priorities and lead a team for Safe Lifting Practices across different locations of the organization. Familiar with international standard related to Lifting engineering practices with sufficient knowledge in interpretation and to bring excellence in Change management. Valid OGUK Medical Certificate, BOSIET & H2S. Preferred: Shall have LEEA-UK qualifications "Entry Exam" and 4 day Appointed Person (Supervisor) course by approved Company Training Company.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Transport and Site Defense teams build and operate foundational infrastructure behind one of the largest sites in the world. These teams own how requests enter Reddit, how services discover and talk to each other, how traffic moves across clusters and clouds, and how Reddit protects itself from DDoS attacks, scrapers, bots, and other undesired traffic. We are looking for a Staff Software Engineer to join the Site Defense team within Reddit’s Infrastructure organization. Site Defense is responsible for protecting Reddit at internet scale—serving as the first line of defense against DDoS attacks, automated abuse, large-scale scraping, and other network-level threats. This is a high impact role that sits at the intersection of distributed systems, networking, security, and applied machine learning. You will design and own the critical infrastructure that safeguards Reddit’s data from large scale attacks. You will: Design, build, and operate high-scale, low-latency systems that protect Reddit from DDoS attacks, bots, and automated abuse. Analyze, develop and evolve ingress-level defenses across CDN, edge, and internal infrastructure layers. Build systems to detect, score, and mitigate malicious traffic in real time at per-request and per-user granularity Partner closely within Infrastructure and with Security, and internal Safety teams to balance security, performance, and user experience Mentor junior engineers in their professional growth. Contribute to the team’s ML-at-Ingress initiatives, including experimenting with models for traffic classification, bot detection, and anomaly detection Own services end-to-end, including design, implementation, on-call, and operational excellence Participate in incident response and post-incident analysis for large-scale network or abuse events You have: 7+ years of experience building and operating high throughput and low latency production distributed systems. Software development experience in one or more general purpose programming languages; Python, Go, Rust, Java, C++. Excellent communication skills to collaborate with a service-oriented team and company. Experience building and maintaining distributed, fault-tolerant distributed systems at scale Experience with networking fundamentals (HTTP, TLS, TCP/IP, proxies, CDNs, load balancing). Nice to have: Experience with DDoS mitigation, WAFs, bot management, or abuse prevention systems. Experience with anti-abuse frameworks and bot scores (ReCaptcha, Datadome, Turnstile) Experience with browser fingerprinting frameworks (fingerprintJS, ThumbmarkJS) Familiarity with ML systems in production, especially real-time inference or feature pipelines. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Las Vegas, Nevada, United States Forklift Operator & Inventory Specialist Warehouse · Full-time · In-Person (Las Vegas, NV) · Hours 9am - 6pm EST About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The Forklift Operator and Inventory Specialist is responsible for safely operating forklifts and other warehouse equipment while maintaining accurate inventory records. This role supports efficient warehouse operations by handling materials, tracking stock levels, and ensuring proper storage and distribution of goods. What You'll Own Safely operate forklifts and other material-handling equipment to move, load, unload, and stack goods Maintain accurate inventory records using Warehouse Management Systems (WMS) Conduct cycle counts and assist with full physical inventory audits Inspect incoming and outgoing shipments for accuracy, quality, and damage Organize and store inventory in designated warehouse locations efficiently Follow all safety procedures and maintain a clean, organized work environment Report discrepancies, shortages, damages, and equipment maintenance needs to management Skills & Qualifications High school diploma or equivalent required Valid forklift certification (or willingness to obtain) Proven experience in warehouse operations, inventory control, or logistics Basic computer skills with familiarity in inventory systems (e.g., Shiphero preferred) Strong attention to detail and organizational skills Ability to lift and move heavy objects (up to 50 lbs) Good communication and teamwork skills Knowledge of safety regulations (OSHA standards preferred) and experience in shipping/receiving or distribution centers is a plus Comfortable working in a warehouse environment with physical demands, including standing, lifting, and operating heavy machinery Military personnel encouraged to apply Compensation We use a market-based approach to compensation. The expected total compensation range for this role is: USD 18 per hour. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role Implementation Managers are the main customer-facing technical position of Aidoc, and are the front line of the Delivery department. As such, Implementation Managers are the project managers of onboardings of new customers, and are leading any technical work with aidoc's customers, including integrations with third-party applications, additions of features and solutions, etc. Responsibilities Overall ownership of product delivery projects: Lead and manage the projects of onboarding new customers on the Aidoc platform, expanding and upgrading existing customers. This includes planning and execution of Aidoc's solutions' delivery projects. Function as the key technical stakeholder in the implementation processes, leading architecture discussions with the customers' IT team, including system, networking, medical imaging and interfaces. Leads setup, troubleshooting, acceptance testing and go-lives. Build a strong relationship with our customers' technical teams - as the "first exposure" of Aidoc's R&D to the customer. Making data-driven conclusions and acting upon them to optimize the solution's technical setup and performance. Generate creative product and feature offerings by integrating a vast knowledge of Aidoc's solution features and capabilities with a profound understanding of each customer. Work with the Product team on requirements definition and design. Work closely with the Customer Success and Sales departments. Requirements Bachelor’s Degree in Engineering or equivalent certifications in a related technical discipline. At least 4 years of customer-facing or technical-operations related experience, working directly with customers in the US / EU markets. Demonstrated experience in Healthcare IT, including working with customers to optimize systems for their needs based on an understanding of their system' architecture. Experience in Radiology IT (PACS, RIS, and dictations systems) as well as EMR is an advantage. Proven ability to work with data and make data-driven decisions. Structured thinking and capability to drive a technical project to completion (both initial and ongoing engagement). Excellent communication skills, both written and verbal. Ability to travel 1-3 days per month as needed. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: United Kingdom Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.   What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation   What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional Data Engineer Intern to join our growing team. In this role, you will design and implement data pipelines that load data from multiple sources into our data warehouse, building efficient data models that drive analysis and key business metrics. You'll optimize analytical workflows using dbt Cloud, leveraging macros and packages to enhance productivity, while contributing to our CI/CD processes and DevOps practices. You'll also have the opportunity to participate in AI initiatives by contributing to the development of Data Genie in Workato. In this role, y ou will also be responsible to: Implement and maintain data pipelines to load data from multiple sources into a data warehouse. Building efficient data models to drive analysis and key metrics. Optimization of analytical workflows to improve productivity through the use of macros and packages in dbt Cloud. Continuously improve existing DevOps experience by strengthening our CI/CD processes Contribute to AI initiatives by assisting with the development of Data Genie in Workato. Collaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues. Support operational needs of various business units. Requirements Qualifications / Experience / Technical Skills Currently pursuing a degree in Business Analytics, Information Systems, or other related field. Able to commit for at least 6 months. Good understanding of Database concepts such as ERD. Intermediate SQL skills (e.g. Join, CTE, and window functions etc). Experience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud. Experience with using Extract-Load-Transform (ELT) applications or scripts.. Experience in building and working with AI related solutions using LLMs is a plus. Understanding of CI/CD and DevOps is a plus. Soft Skills / Personal Characteristics Fast mover and comfortable navigating a fast-paced environment. Excellent organizational skills and ability to juggle multiple projects simultaneously. Strong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders. Thoughtful team player, a keen learner, and have a “can do” attitude with a growth mindset. (REQ ID: 2942)

Location: San Francisco, CA | New York City, NY 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 Anthropic is looking for an experienced G&A Recruiter to help build the business functions that keep our company running smoothly. You'll partner directly with hiring managers across our General & Administrative teams, owning searches that range from high-volume pipelines to highly strategic, hard-to-fill roles — and you'll be expected to context-switch between them without dropping quality. This is a role for someone who thrives on ownership across a diverse portfolio. You'll manage a high req load across multiple hiring managers, use data and systems to prioritize and surface issues early, and build repeatable processes that scale. We're also looking for someone who actively leverages AI and automation to increase throughput while protecting a great candidate experience. Beyond execution, you'll bring genuine recruiting expertise to your stakeholders: calibrating profiles, sharing market insight, improving processes, and pushing back constructively when patterns aren't working. As Anthropic grows quickly, this role will be key to scaling the teams that support our mission. Key responsibilities Own full-cycle recruiting across G&A functions, adapting candidate profiles, comp benchmarks, and assessment criteria to each segment and level Context-switch between high-volume hiring and strategic, senior searches while maintaining consistent quality and candidate experience Manage a high req load across multiple hiring managers without becoming a bottleneck — using data and systems to prioritize, surface issues early, and keep pipelines healthy Build repeatable, scalable processes, and leverage AI and automation to increase throughput across your portfolio Integrate into existing hiring rhythms while bringing recruiting expertise — calibration, market insight, and process improvement — and pushing back constructively when patterns aren't working Own outcomes across a diverse portfolio, holding yourself accountable for hiring results rather than activity Protect Anthropic's culture by deeply understanding our mission and screening for alignment alongside capability Minimum qualifications Have demonstrated success recruiting across G&A role types and segments (e.g., Finance, Legal, People, Operations) and understand how profiles, comp, and assessment criteria differ across levels Can show examples of moving fluidly between high-volume pipelines and strategic searches without sacrificing quality or candidate experience Have managed heavy req loads across multiple hiring managers, and use data to prioritize, spot bottlenecks, and surface issues before they become problems Build repeatable processes and are actively experimenting with AI and automation tools to increase your throughput Have strong stakeholder management skills — you integrate into existing hiring rhythms, add value beyond execution, and push back constructively when something isn't working Bring an ownership mentality across a diverse portfolio, with a continuous improvement mindset Are deeply curious about Anthropic's mission and passionate about AI's potential to positively impact the world 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: $175,000 — $240,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Lanham, MD Luminis Health Title: Sterile Processing Technician II Department: Central Sterile Processing Job Code: 000333 FLSA Status: Non-Exempt Position Objective: The objective of this position is to assemble and sterilize all instruments, instrument trays, utensils, and linen packs. Perform distribution functions as it relates to case carts and sterile instrumentation. Must be able to perform all Sterile Processing functions. The position requires rotating weekend and on-call requirements. A strict dress code and professional appearance including wearing surgical scrubs are required. Essential Job Duties: Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. Uses established departmental and regulatory standards, principles, and procedures for aseptic technique. Processes and assembles instrument trays, respiratory/anesthesia equipment, linen, and utensils accurately and promptly. Uses established schedule to operate steam and plasma sterilizer. In addition, loads unload and move sterilizer carts. Runs verify and record necessary tests on all steamed and plasma equipment used in the department. Ensures that Bowie-Dick removal test is run on pre-vacuum steam sterilizer each morning and after repairs. Reports all malfunctions to the biomedical department, department supervisor, and the O.R. supervisor. Precepts and verifies competency and skill development of staff as appropriate providing meaningful feedback to Training and Staff Development Coordinator and Clinical Operations Supervisor or Manager. Perform spot checks of paperwork, labeling, and biological reads. Inspects packages to ensure all external indicators, filters, and/or labels are securely affixed to items, returns non-satisfactory products to the instrument room. Performs (HLD) High level disinfection with 100% accuracy. Utilizes patient-specific pick lists to accurately gather surgical instruments and disposable supplies requested by the attending surgeon or another Peri-Operative representative. Documents case cart build process in SPM, continuously updating the record as items are fulfilled to maintain the integrity of the needs list. And responds to OR requests and participates in OR huddles as needed. Communicates unmet surgical supply requests to leadership for resolution assistance. Utilizes patient-specific pick lists to accurately gather surgical instruments and disposable supplies requested by the attending surgeon or another Peri-Operative representative. Documents case cart build process in SPM, continuously updating the record as items are fulfilled to maintain the integrity of the needs list. Performs scheduled and cyclic physical inventory of supplies and instruments within the department. Educational/Experience Requirements: Required Minimum Education : High school diploma or equivalent. PREFERRED Experience : Completion of a Central Sterile Processing program through an accredited institution.  Two years of experience as a sterile processing technician. Advancement to tech II based on department needs, competency and performance. Required License / Certifications: Certified Registered Central Service Technician (CRCST) or CBSPD certification preferred Working Conditions, Equipment, Physical Demands : There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Medium work . Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. Must be able to frequently lift to 35 lbs. stoop, bend, pull, and place and retrieve material. There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Pay Range $20.65 — $25 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery 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: $405,000 — $625,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Director of IT Security leads Aidoc's corporate IT security function and oversees the day-to-day operation and continuous improvement of security controls across the organization. The role operates within the IT strategy, budget, and governance framework. Leads the day-to-day security function and escalates strategic decisions and material approvals to IT ownership. The role focuses on protecting Aidoc's identities, endpoints, SaaS and AI environments, corporate systems, suppliers, and information assets, and partners with IT, Operations, R&D, Security, Compliance, Legal, and business stakeholders. The role manages the IT Security team and builds a scalable function that strengthens security maturity, control coverage, compliance readiness, cyber resilience, and secure business operations. Responsibilities Lead and execute the corporate IT security roadmap and operating plan, and formulate IT Security procedures, standards, and security improvement initiatives, within the strategy and governance framework, in collaboration with the Director of IT. Manage the IT Security team, starting with a Security Engineer, and support the function's continued growth. Implement, operate, and improve security controls across identity and access management, endpoint security, DLP, SaaS, AI tools, and corporate systems, including access reviews, endpoint compliance, and secure configuration standards. Own the corporate vulnerability-management lifecycle, including risk-based prioritization, remediation SLAs, remediation tracking, reporting, and escalation. Lead the assessment and approval process for internal SaaS and AI tools, approving low- and medium-risk requests and escalating high-risk requests in collaboration with the Director of IT and the appropriate governance forum. Define and manage IT Security requirements for suppliers, vendors, third parties, and enterprise platforms, and lead security reviews for corporate IT systems, coordinating with R&D Security when product or engineering environments are affected. Maintain security monitoring, technical enforcement, control documentation, and audit evidence for IT controls. Lead corporate cyber-resilience activities, including business continuity, disaster recovery, tabletop exercises, and ransomware readiness. Support incident response for corporate IT Security events and coordinate with R&D Security on incidents affecting both corporate and R&D environments. Provide IT Security subject-matter expertise for audits, customer security requests, and compliance activities, while overall security and customer-assurance ownership remains with the relevant organizational function. Requirements Undergraduate degree and/or relevant experience in Information Security, Information Technology, Computer Science, or a related field. At least 8 years of experience in IT Security, Information Security, Security Operations, or a related field. Experience leading corporate security programs across identity and access management, endpoint security, SaaS, cloud, data protection, and security governance. Experience managing security controls, access reviews, vulnerability remediation, DLP, security monitoring, incident response, cyber resilience, and audit evidence. Experience with SaaS and AI security assessments, vendor security, and third-party risk management. Experience managing or mentoring security professionals and working with cross-functional teams. Experience working in global high-tech and highly regulated technology organizations. Familiarity with ISO 27001, SOC 2, NIST CSF, GDPR, HIPAA, or similar standards and frameworks. Experience with BCP/DR, tabletop exercises, ransomware preparedness, or corporate vulnerability management. Excellent English verbal and written skills. Excellent interpersonal, communication, analytical, and risk-assessment skills. Ability to work independently, prioritize effectively, and present clear recommendations to management. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products. Responsibilities Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging. Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features. Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems Develop and maintain high-quality, scalable, and efficient code. Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems) Requirements BA/BSc/MSc in Computer Science, Engineering or a related field. 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing. Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity Passion for building generic and robust software architecture Passion for elegant and effective technological solutions, and a love for clean code Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc. Strong ability to lead end-to-end development processes Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.