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Location: Sahibzada Ajit Singh Nagar (Mohali), India Workplace: hybrid We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models . Key Responsibilities As an Applied ML / Computer Vision Engineer, you will: Design, develop, and improve Computer Vision and image-processing pipelines. Build solutions for video analysis, video understanding, and real-time visual processing. Develop multimodal AI systems combining vision, audio, and language data. Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques. Implement and fine-tune Vision-Language Models and Transformer-based architectures. Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making. Evaluate, optimize, and deploy machine-learning models in production environments. Improve model inference speed, accuracy, scalability, and resource efficiency. Translate research papers and emerging AI techniques into practical product features. Build APIs and production-grade services for AI model integration. Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions. Monitor model performance and continuously improve deployed systems. Maintain clear, reusable, and well-documented code. 1–4 years of experienc e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field. Strong programming skills in Python. Hands-on experience with PyTorch. Practical knowledge of OpenCV and image or video processing. Strong understanding of Deep Learning fundamentals. Experience with object detection and/or image segmentation models. Knowledge of Transformer architectures. Experience working with Vision-Language Models. Familiarity with the Hugging Face ecosystem. Experience with model inference, evaluation, and optimization. Understanding of how to move models from experimentation into production. Experience using Docker and Git . Ability to independently investigate technical challenges and propose practical solutions. Ability to understand, reproduce, and implement methods described in research papers. Strong analytical and problem-solving skills. Curiosity and willingness to explore new technologies. Passion for AI, Machine Learning, and product development. Ownership mindset and accountability for delivered solutions. Ability to work independently and contribute within a collaborative team. Interest in building practical products rather than focusing only on model experimentation. Comfortable working in a fast-moving and research-driven environment. Nice to Have Experience with one or more of the following technologies would be considered an advantage: YOLO GroundingDINO SAM or SAM2 Florence-2 Whisper Qwen2.5-VL LLaVA InternVL CUDA TensorRT ONNX FastAPI (Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)

Location: Global (Remote) Workplace: Remote Rwazi is a global consumer intelligence platform. Our go-to-market engine still runs on too many manual workflows — prospecting, enrichment, campaign ops, content production, reporting. Your job is to absorb those workflows into AI systems that run themselves. You will not write strategy decks. You will ship working tools, weekly, that remove manual GTM work and make pipeline move faster. WHAT YOU'LL BUILD - Outbound engine: lead sourcing → enrichment → scoring → personalized sequencing, wired into our CRM. Agentic where possible, human-in-the-loop where it matters. - Inbound & lifecycle flows: lead routing, qualification, nurture triggers, activation and re-engagement automations. - Content pipeline: AI-assisted production for outbound copy, landing pages, social, and campaign assets — with QA gates so nothing off-brand ships. - GTM data layer: dashboards and reporting that show pipeline, conversion, and campaign performance without anyone assembling them by hand. - Temporary fixes: when a GTM workflow breaks or a tool gap appears, you build the patch fast rather than waiting on a vendor. FIRST 90 DAYS (HOW YOU'LL BE EVALUATED) - Day 7: first shippable artifact live — a working flow, not a plan. - Day 30: 2–3 GTM automations in production; outbound engine in alpha. - Day 60: measurable scope absorption — which manual GTM workflows are you removing per week? - Day 90: trial decision, based on shipped output and hours-saved/pipeline-moved numbers. YOU - Ship fast with LLM APIs (Claude, GPT) — prompt engineering, agent frameworks, RAG where useful - Strong Python and/or TypeScript; comfortable with scraping, enrichment, and API integrations - Hands-on with the modern GTM stack: CRM (HubSpot/Salesforce-type), enrichment (Clay/Apollo-type), orchestration (n8n/Make/Zapier), email infra - Have built and can demo autonomous or semi-autonomous workflows that ran in production — links or Looms beat resumes - Self-directed. You find the manual workflow, propose the fix, and ship it. Raising a problem without a proposed fix is not how we work. - Available with meaningful US-timezone overlap ENGAGEMENT - Contractor - 25–40 hrs/week - 3-month mutual trial; rate and scope re-evaluated at Day 90 - Reports into Marketing/GTM leadership (not Engineering) TO APPLY 1. Link the best AI-powered GTM or marketing automation you've built. What did it replace, and what number did it move? 2. Which part of a typical outbound flow would you automate first, and how? 3. Your hourly rate and weekly availability (US-overlap hours). Applications without a shipped-work link will not be reviewed.

Location: Germany; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Account Management Lead you'll lead a team of experienced Account Managers across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning account manager initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves. - Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums. - Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies. - Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams. Requirements • 10+ years of experience in account management or post-sales roles within SaaS, ideally some of this within Western Europe accounts. • Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes. • 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact. • Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios. • Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management. • Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment). • Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes. • Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset • Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team. • Proficiency in German or French is required. This role is remote-first, so it can be executed from anywhere within Europe. If you prefer, you can work from our offices in London, Dublin or Paris. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Requirements: - Be outside Russia and Belarus; - Bachelor’s/College degree is a must; - 6+ years of experience in both Automation & Manual Java testing methodologies plus at least 3 years of experience as PO/PM and previous experience in mentoring, leading, code review practice, etc.; - Strong ability to handle Backend services such as APIs, Databases, distributed services; - Linux and database operation: MySQL, PostgreSQL; - Programming experience: Java; - Agile/Scrum; - Russian, English languages. Conditions: - B2B contract; - Full-time, 8 hours a day; - 5 hours daily overlap with the core team (8 a.m. - 1 p.m. UTC-5); - Vacation is unpaid; - Minimum contract duration is 9 months and more.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Summary: Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet. Key Responsibilities: Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager. Hire and develop a high-performing team  where team members can thrive and produce results with quality and speed. Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast. Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users. Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic. Ensure fast, high quality and  cross-functional execution across frontend, backend, UX, product, and technical writing. Drive improvements in quality, security, and performance. Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet. Take part in on-call or operational support where your team’s ownership model requires it. We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters) Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Barcelona, Spain; Madrid, Spain 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 a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Role Description The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms. Key Responsibilities and Duties — Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts. — Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing. — Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial. — Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals. — Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress. — Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk. — Assume responsibility for the identification of technological risks and the formulation of control design proposals. — Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering. — Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company. — Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines. — Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment. — Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives. — Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working. — Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed. — Stay current with emerging cyber threats and security best practices in DevOps environments. Knowledge and Skills — Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4 — Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments — Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4 — Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4 — Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3 — Understanding of cybersecurity risks and data protection principles - L3 — Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus — Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools) — Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture — Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses — Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time — Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com Level of Education: Bachelor/Master Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years) Benefits & Perks — Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam. — Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide. — Be part of a truly international fast‑paced environment and performance‑driven culture. — Full relocation support for you and your family to move to Amsterdam. — We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years. — Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential. — Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits. — Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture. — Diverse and creative colleagues from every corner of the world. — Health, life, and disability insurance*. — Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave. — Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country). — Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit. — Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership. — On‑site meals, coffee, and snacks, including healthy and vegan options, daily*. — Benefits may vary slightly depending on location and contract type.

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading and technology in order to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project-based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW. While your days will have you engrossed with complex quantitative trading projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London. How you will make an impact… Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk Identify and research in the development of cutting-edge market research projects using powerful analytic tools Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading Be given immediate responsibility through assignments like position tracking, calculating risk, and analysing vital theoretical values What you bring to the team… Are pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and August 2028 Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations Proficient programming in Python Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments A passion for the financial markets and a deep curiosity to explore new methodologies Strong communication skills to advocate your ideas in a clear and concise manner to the group What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Location: London As a participant in our yearlong middle and back-office rotation program, referred to internally as our Leadership Rotation Network (LRN), you’ll begin your journey with our immersive onboarding experience. This will reinforce your knowledge of market fundamentals, equipping you for the dynamic rotations that follow. Additionally, it offers an invaluable opportunity to build strong relationships with your fellow cohort members and integrate into the wider LRN community. Following onboarding, you will rotate through up to three targeted middle and/or back-office teams such as Global Trading Operations, Treasury/Cash and Business Management.  Upon successful program completion, you will earn a post-LRN role on one of the participating middle/back-office teams with the aim of alignment between both your career aspirations and DRW’s business needs. This position is not a trading or quant role and does not involve trading strategy or investment decision-making. Instead, examples of how we empower our LRNers to make an impact include: Apply your acquired knowledge and skills to deliver tangible value through rotations in various middle and back-office teams Analyze situations, develop solutions aligned with our strategic goals and respond constructively to feedback Effectively collaborate within diverse teams and build lasting relationships with cohort members and the LRN community Lead projects and participate in daily processes, gaining insight into each team’s scope and their collective role in supporting our trading business Develop a comprehensive understanding of the business and a foundation of how our trading functions work together cohesively You'll be right at home if you have: A Bachelor’s or Master’s degree in Business, Finance, Business Analytics, Economics, or a related field, with a graduation date between December 2026 and June 2027 A strong desire to learn, a curious mindset, a commitment to integrity, and the ability to deliver results both independently and as part of a team Excellent critical thinking and problem-solving skills, with the ability to learn quickly, act with urgency, and communicate effectively The ability to work independently while building strong relationships across business groups Strong Excel skills and comfort working with large, structured data sets Foundational knowledge of SQL, Python, or similar data tools, with the interest and ability to deepen these skills on the job The ability to use AI-enabled tools to accelerate analysis, troubleshoot issues, draft queries or scripts, summarize information, and identify opportunities to improve workflows Sound judgment when validating AI-generated outputs, protecting confidential information, documenting assumptions, and escalating uncertainty A demonstrated analytical mindset, strong attention to detail, and the ability to investigate data discrepancies, reconcile information across systems, and communicate conclusions clearly An interest in automation, process improvement, and using technology to reduce manual effort and operational risk Work authorisation in the United Kingdom without the need for sponsorship in the future Additional target candidate qualities: An interest in the trading and technology industry, with a specific aspiration to build a career in the middle/back-office (this role is not a pathway to the front office) A desire to live and work in London (this opportunity requires physical presence and is not offered remotely) A solid understanding of financial securities and their markets Prior internship experience in/exposure to middle or back-office roles and operations but no prior full-time work experience (LRN is a junior analyst leadership pipeline opportunity best suited for new grads joining the workforce for the first time) If you excel in performance-driven environments and thrive on challenges, we encourage you to apply! DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

About the role We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV. You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities. This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience. What you’ll do Improve recognition quality through data analysis and application logic Build internal tools, scripts, and developer utilities Refactor and optimize existing systems for performance and stability Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure) Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling. We’re looking for someone with Strong Rust, C++, or equivalent systems programming skills Solid Linux, Git, and command-line experience Basic understanding of ML or data analysis Good written and spoken English We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems. Nice to have OpenCV, CUDA, deep learning, or custom ML model training Linux internals, performance optimization, or low-level debugging Docker, networking, distributed systems, or embedded development Strong personal or open-source projects Why Bravora? We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools. Interested? Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.

Location: Singapore Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Researcher , you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful. How you will make an impact Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques Assist software developers to translate research strategies into production software Optimize the order execution and risk management of our trading system Create robust solutions to problems presented in the trading environment Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas You will be right at home if you have… A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD) A curiosity for model development and experience handling large data sets Expertise in programming using Python, R, MATLAB, or C++ for conducting research Can advocate for your beliefs in a concise and effective way with the team Significant hands-on experience applying machine learning algorithms to real world problems Strong problem-solving and statistics skills The proactive ability to take the lead on assignments and deliver practical research results in a timely manner DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-LT2

Location: Hong kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale. Build. Break. Investigate. Optimize. Repeat. We're looking for engineers who love understanding how systems really work. Tinkerers. Optimizers. Troubleshooters. Performance sleuths. People who are just as comfortable diving into Linux internals and packet captures as they are writing software to eliminate operational toil. This isn't a traditional support role. You'll operate at the intersection of software engineering, production operations and business workflows, helping keep a fast-moving trading platform running reliably while continuously making it better. What you'll do: Own production Take responsibility for the health, stability and performance of critical trading systems. When things break, you're one of the people everyone wants in the room. When things don't break, it's often because of something you built. Investigate the unexplained Chase down complex incidents that span applications, infrastructure, networks and market connectivity. Become a technical forensic investigator, uncovering root causes that aren't immediately obvious and turning every incident into a learning opportunity. Eliminate toil If you have to do something twice, you'll probably automate it. Build tools, workflows and self-service capabilities that make systems easier to operate and engineers more productive. Obsess over reliability Design better monitoring, observability and alerting. Measure what matters. Reduce noise. Increase signal. Help us understand our systems before they fail rather than after they fail Understand the business Our systems exist to support trading. You'll learn how orders move through the platform, how market data flows, how trading desks operate and why reliability matters to investment performance. Optimize everything Latency. Efficiency. Deployments. Troubleshooting workflows. Feedback loops. Engineering productivity. Nothing is ever "good enough." What we're looking for You might be a good fit if you: Enjoy taking things apart to understand how they work Automatically start troubleshooting when something looks wrong Find repetitive work deeply irritating and automate it away Get satisfaction from building reliable systems Prefer solving root causes instead of treating symptoms Love learning new technologies and diving into unfamiliar systems Can communicate clearly during high-pressure production events We're more interested in how you think than the exact technologies you've used, but you'll likely have: Strong software engineering skills in Python, C++, or another modern programming language Solid Linux systems knowledge Understanding of networking fundamentals including TCP/IP and multicast Experience troubleshooting distributed systems Familiarity with observability, monitoring and automation tooling A passion for engineering robust, scalable and operable systems Previous experience in finance or trading is helpful but not required. Why this role is different Most companies separate developers, operations engineers and production support teams. We don't. You'll join a multi-skilled engineering group that combines software development, production engineering, operational ownership and business understanding. The result is a role with a broad scope, a steep learning curve and the opportunity to have a direct impact on the reliability and performance of a global trading platform. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Baku Workplace: onsite ABOUT US   Xsolla is a global video game commerce company that provides a comprehensive suite of tools and services for game developers and publishers - including payments, distribution, game stores, launcher solutions, and partner network services. Our platform processes transactions across 200+ geographies, supporting thousands of games and millions of players worldwide. Quality is not optional - it is foundational to every product we ship. ROLE OVERVIEW The Director of QA is a senior technical leadership role responsible for owning and scaling Xsolla's quality engineering function across multiple product lines, teams, and time zones. You will define and drive the strategic vision for quality assurance - from test automation architecture and CI/CD integration to AI-assisted testing practices and performance engineering. You will lead a distributed organization of 30+ QA engineers and leads as part of a broader QA organization of 75+ professionals, ensuring predictable, high-quality releases across every product Xsolla delivers. This is not a management-only position. You must be deeply technical - capable of reviewing automation code, architecting test frameworks, debugging CI/CD pipelines, and evaluating AI-driven testing approaches hands-on. Key Responsibilities Strategic Leadership & Ownership Define and execute the QA strategy across all Xsolla products, aligning quality objectives with business goals and product roadmaps. Own QA deliverables end-to-end - from test planning through release sign-off - and be accountable for outcomes, not just activities. Establish and enforce quality gates, defect governance policies, and release readiness criteria across all product teams. Drive organizational maturity: evolve the QA function from reactive testing to proactive quality engineering embedded in every stage of the SDLC . Represent QA at the executive level - articulate quality risks, tradeoffs, and resource needs to VP/C-level stakeholders with clarity and data. Technical Excellence Architect and oversee enterprise-grade test automation frameworks spanning UI (Playwright), API, database validation (SQL), and performance testing (K6). Define and maintain standards for test code quality - including code reviews, PR contributions, reusable libraries, and modular test design. Deep understanding of Git workflows - branching strategies, merge request reviews, repository hygiene, and code versioning best practices across multiple repositories. Expert-level knowledge of CI/CD pipelines - design, optimize, and troubleshoot automated build, test, and deployment pipelines (GitHub Actions, GitLab CI, Jenkins, or similar). Ensure all automation is fully integrated into CI/CD pipelines, with clear pass/fail signals, automated regression gates, and performance benchmarks at every release stage. Drive adoption of infrastructure-as-code practices for test environments - containerized test execution, ephemeral environments, and environment parity between staging and production. Evaluate, select, and implement QA tooling - including test management platforms (Qase), observability tools, and defect tracking integrations. AI Integration & Innovation Proven track record of using AI in day-to-day QA activities - not aspirational, but demonstrated. You have used AI tools to generate test cases, write automation code, analyze test results, identify flaky tests, or accelerate debugging. Champion and operationalize AI-assisted quality engineering across the organization - specifically using Claude AI for code generation, test design, automation scripting, and documentation. Define governance frameworks for AI-generated test artifacts - validation, review, and sign-off processes to ensure AI outputs meet quality standards. Stay current with AI/ML advancements relevant to testing - intelligent test selection, predictive defect analysis, autonomous test generation, and self-healing automation. Establish metrics to measure the impact of AI adoption on QA velocity, coverage, and defect detection rates. Team Leadership & People Development Lead, mentor, and develop a distributed team of 30+ QA professionals - including QA Leads, Senior QA Engineers, and QA Engineers - across multiple time zones (Americas, Europe, Asia-Pacific). Build a high-performance culture rooted in ownership, technical excellence, continuous learning, and psychological safety. Conduct regular 1:1s, career development conversations, and performance reviews. Identify and grow future QA leaders. Design and implement onboarding programs, skill development paths, and technical training curricula - including AI literacy for all QA team members. Manage resource allocation and capacity planning across multiple concurrent projects, ensuring predictable and sustainable QA delivery. Navigate cross-cultural team dynamics with sensitivity and effectiveness - a truly global team requires a global leadership mindset. Process Rigor & Quality Governance Enforce rigorous QA processes across the organization:  • Test case management : Create, maintain, and execute comprehensive test cases in Qase with full traceability (pass, fail, blocked statuses). Bug documentation : Ensure all staging bugs are filed with detailed reproduction steps, expected vs. actual behavior, environment details, screenshots/videos, and severity classification - following established training standards. Automation framework documentation : Maintain clear, up-to-date documentation for all automation frameworks, ensuring any engineer can onboard and contribute. QA Score : Drive iterative improvements in QA Score metrics - tracking automation coverage, defect escape rate, test execution velocity, and regression stability. Define and track QA KPIs and OKRs - present quality dashboards and trend analysis to leadership regularly. Conduct root cause analysis on production escapes and implement systemic corrective actions. Cross-Functional Collaboration Partner closely with Engineering, Product, DevOps, and Release Management to embed quality practices into every phase of the development lifecycle. Work effectively in Agile/Scrum environments - participate in and drive sprint planning, retrospectives, daily stand-ups, and release ceremonies. Act as the primary QA stakeholder for cross-functional initiatives - environment strategy, deployment automation, incident response, and post-mortem processes. Build strong relationships with engineering leadership to ensure QA is not a bottleneck but an accelerator. Common Expectations Across All QA Roles Must be technical and able to write code for testing and automation. Use Claude AI to assist in code creation, automation, and test design. Follow QA processes rigorously: create and execute robust test cases in Qase , maintain clear documentation in automation frameworks, ensure traceability of executed test cases with statuses (pass, fail, blocked), and file Staging Bugs with detailed documentation following training standards. Contribute to iterative improvements in QA Score and testing processes. Strong communication and collaboration skills, analytical mindset, and commitment to continuous learning. Ability to work effectively in Agile/Scrum environments, participating in sprint planning, retrospectives, and daily stand-ups. Required Qualifications 15+ years of experience in QA/Quality Engineering , with at least 6+ years in Senior Manager or Director-level roles . Proven experience leading teams of 30+ people distributed across multiple time zones and cultural contexts. Hands-on technical proficiency - you can write and review test automation code, not just manage people who do. Proficiency in one or more: Python, JavaScript/TypeScript, Java. Deep expertise in test automation frameworks : Playwright, Selenium, Cypress, or equivalent for UI; REST/GraphQL API testing tools; database validation via SQL. Performance testing experience : K6, JMeter, Gatling, or Locust - designing, executing, and analyzing load/stress/soak tests. Expert knowledge of Git : branching strategies (GitFlow, trunk-based), pull request workflows, code review practices, repository management across multiple repos. Expert knowledge of CI/CD : designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI), integrating automated tests into build/deploy workflows, debugging pipeline failures. Demonstrated use of AI tools in professional QA work - Claude, ChatGPT, Copilot, or similar - for test generation, automation coding, defect analysis, or process optimization. Provide specific examples. Strong understanding of Agile/Scrum methodologies and experience operating within and across Agile teams. Experience with test management platforms (Qase, TestRail, Zephyr, or similar). Excellent communication skills - ability to present complex technical quality topics to non-technical stakeholders, write clear documentation, and influence without authority. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience). Preferred Qualifications Experience in the video game, fintech, or e-commerce/payments industry - understanding the unique quality challenges of high-throughput transaction systems. Experience with cloud-native architectures (GCP, AWS, Azure) and testing strategies for microservices, event-driven systems, and distributed architectures. Familiarity with containerization and orchestration (Docker, Kubernetes) for test environment management. Experience building or managing unified test environments - non-production environment strategies that enable safe, deterministic, and scalable validation. Knowledge of security testing fundamentals ( OWASP , penetration testing, vulnerability scanning). Experience with data pipeline testing and data quality validation. Background in establishing QA Centers of Excellence or transforming QA organizations from manual-heavy to automation-first. What Success Looks Like (First 12 Months) 90 days : Complete assessment of current QA processes, tooling, team capabilities, and automation coverage. Establish relationships with all QA leads and key engineering stakeholders. Identify top 3 strategic gaps. 180 days : Deliver a QA strategy roadmap aligned with product and engineering priorities. Implement measurable improvements in automation coverage and CI/CD test integration. Launch AI-assisted testing pilot across at least 2 product teams. 365 days : Achieve measurable reduction in production defect escape rate. Demonstrate >80% automation coverage on critical regression paths. AI-assisted testing practices adopted across all QA teams. QA Score trending consistently upward. Team engagement and retention metrics at or above company benchmarks. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Mexico You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role The Forward Deployment Engineer (FDE) is a hybrid role at the intersection of engineering, business analysis, and customer success. Acting as the bridge between product teams and enterprise clients, FDEs ensure smooth deployment of AI-driven solutions, workflow automation, and SaaS integrations. They combine technical expertise with business acumen to translate client needs into production-ready solutions that drive measurable impact. Roles and Responsibilities Customer Discovery: Conduct structured workshops with client stakeholders to capture workflows, pain points, and desired outcomes. Solution Design: Translate business requirements into technical workflows, automations, and integrations. Deployment Execution: Configure, test, and deploy solutions, ensuring seamless go-live and adoption. Workflow Automation: Build and customize automations using APIs, scripts, or low-code platforms. Technical Troubleshooting: Diagnose integration issues, resolve blockers, and iterate based on client feedback. Customer Advocacy: Serve as the technical expert during onboarding and beyond, ensuring long-term customer success. Feedback Loop: Provide insights from deployments to product and engineering teams to shape roadmap priorities. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, or related field — or equivalent demonstrated experience shipping production integrations. 4–8 years in a customer-facing technical role where you personally wrote and owned the code (Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Implementation Engineer, or similar). Strong coding ability (Python, Java, Go, or similar) — able to build and debug real integration logic, not just configure a UI. Deep familiarity with SaaS systems, REST/SOAP APIs, webhooks, and authentication patterns (OAuth, API keys, SSO basics). Experience with workflow automation platforms, CI/CD, and basic observability/monitoring tools. Comfortable with SQL and at least one BI tool (Looker, Tableau, Superset) for validating data and demonstrating impact. Demonstrated ability to operate independently in ambiguous, loosely-scoped situations and drive to a working solution. Excellent communication skills — able to run a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation. Strongly Preferred Hands-on experience with LLM/agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and applying them to real workflow or data problems. Experience with RAG pipelines, prompt/eval design, or AI observability and guardrails. Prior experience embedded on-site with enterprise clients during implementation. Nice to Have Background in consulting or early-stage startup environments (frequently correlates with FDE success due to comfort with ambiguity and ownership). MBA preferred. Location: Mexico (Remote, LATAM region) Shift Timings: U.S. Shift (8:00 AM CST - 5:00 PM CST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB Requirements Benefits

Location: Warsaw, Poland About the Opportunity Dentons Europe is currently seeking a Information Security Engineer, specializing in Microsoft cloud technologies to play a key role in strengthening and evolving our security landscape. In this role, you will design and implement security controls across cloud and hybrid environments, with a strong focus on Microsoft 365 and Microsoft Azure. You will operate at the intersection of architecture and execution shaping security decisions, guiding technical teams, and ensuring that systems, applications, and integrations meet the firm’s security, compliance, and reliability standards. As a trusted advisor and technical authority, you will work closely with Information Security, IT, and business stakeholders across Europe, embedding security into the design and delivery of technology solutions while continuously improving the organization’s overall security posture. This is an opportunity to make a visible, enterprise-wide impact in a complex, international environment. You will primarily be accountable for Design, implement, and maintain robust security and compliance controls across Microsoft 365, Microsoft Azure, and hybrid environments. Act as a cybersecurity subject-matter expert for Europe and Country IT teams providing clear, practical guidance on secure design and implementation. Assist in embedding security into application, infrastructure, identity, endpoint, and integration architectures (including APIs and data flows), ensuring alignment with secure development lifecycle practices and architectural standards. Collaborate with architects, engineers, project teams, and business stakeholders to define security requirements as integral part of enterprise initiatives and technology solutions from the outset. Work closely with SOC and CSIRT teams to support incident response activities, including investigation, containment, and remediation, and ensure lessons learned are reflected in improved controls and architecture. Lead end-to-end vulnerability management activities, including vulnerability scanning, assessments, penetration testing coordination, and remediation tracking with system owners and technical teams. Identify, assess, and mitigate security risks across cloud and enterprise environments, driving measurable improvements in the firm’s security posture. Provide advanced troubleshooting and technical leadership for complex or high-impact security issues. Develop and maintain security documentation, standards, reports, and control frameworks. Requirements Minimum 3 years of experience in cloud security or enterprise cybersecurity engineering Advanced expertise in Microsoft Azure security, including at least two of : Defender for Cloud Microsoft Sentinel Infrastructure / Network Security (IaaS) Application and API security Storage and database security Advanced expertise in Microsoft 365 security, including at least two of: Microsoft Entra ID, identity and access management Microsoft Purview, data protection and compliance Microsoft 365 Defender suite Intune / Endpoint Manager Strong understanding of: Security architecture principles, including Zero Trust, defense-in-depth and least privilege Hybrid cloud environments and system integrations Vulnerability management, including analyzing penetration testing and coordinating remediation of results API security and modern integration technologies Scripting and automation skills, e.g., PowerShell, Python or Bash Strong interest in security architecture, with a desire to deepen exposure and grow toward architectural responsibilities Professional experience Proven experience designing and implementing secure solutions in Microsoft technologies-based enterprise environments Experience working with large-scale or multi-country IT environments Solid exposure to security operations, incident response and security tooling Experience collaborating across infrastructure, development and business teams Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems. We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why CloudLinux? You will work on real production infrastructure used across CloudLinux and TuxCare products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. MongoDB replica sets and Percona Backup for MongoDB. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY | Washington, DC 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 As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards.  The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations. Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations. Minimum qualifications Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks. 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: $245,000 — $285,000 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.