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Location: Yerevan, Armenia Description Digitain is a global leader in the provision of award-winning iGaming platform technology with a mission of continually delivering innovative, flexible and customer-centric solutions to our partners. Now we welcome QA Team Lead to join our team of impactful, fast-growing Digitainers, who have a strong corporate and self-developing culture. The ideal candidate will join the mission of improving a world-class iGaming platform and be responsible for leading the QA team, implementing the QA processes and tools, and improving automation strategy. He/she should understand the business requirements and communicate them at all levels. Responsibilities Define quality assurance processes and approaches for manual and automated testing Organize and manage QA processes and teamwork Create and manage testing agendas, ensuring compliance with goals and deadlines set for a team In addition to managerial and organizational work, independently solve certain tasks Determine and oversee quality procedures, be actively involved in the technical documentation process standards and technical specifications Organize code review processes and monitor the execution of Unit tests in the team Constantly follow the technical roadmap, ensure its implementation Conduct periodic performance evaluations of team members Organize development plans for the team members, determine training needs Closely collaborate with the HR team during the hiring and onboarding process of a new employee Stay up-to-date with new testing tools and test strategies Required qualifications University degree in computer science, engineering or related field 5 years of work experience in software quality assurance 2 years of experience in a leading role 3 years of experience as an Automation QA with C# or other programming languages (Java). Deep understanding of QA methodologies and best practices Knowledge of product architecture and interrelationships Deep knowledge of automated framework engineering and modern automation tools Strong knowledge of SDLS/STLS life cycle, QA processes and best practices. Experience performing security testing of systems Management skills Conflict resolution skills Excellent communication skills Time management skills Good reporting skills Good knowledge of English language Proficiency with AI tools

Location: Yerevan, Armenia Description The Market Research Case & Strategy Analyst evaluates iGaming markets, competitors, and target operators to support Digitain's market entry decisions, commercial strategy, and sales engagement, delivering actionable insights for Sales, Product, and Leadership teams. As Market Research Case & Strategy Analyst, you will assess priority markets, analyze competitor strategies and industry success stories, and identify operators that are strong migration opportunities for Digitain. Your work will directly shape which markets we enter, when and how, and which operators we pursue. Responsibilities Evaluate target markets for product launches, sales activation, and strategic entry, analyze competitors’ entry experiences, launches, regulatory adaptations, and operational challenges to identify practical lessons Analyze market growth, trends, and maturity across macroeconomic, demographic, fiscal, regulatory, competitive, and operational indicators; assess industry success stories for applicable drivers of revenue growth, player acquisition, and innovation adoption Monitor industry investment and expansion trends; evaluate business strategies, growth models, and partnerships across the iGaming market Track existing and upcoming regulations, B2B licensing frameworks—including those in planning—and licensing tenders to identify entry requirements, timely sales opportunities, and operators needing platform solutions Assess market attractiveness through size, growth, competition, regulatory stability, and business impact; benchmark key competitors’ entry strategies, operations, pricing, and long-term positioning Develop forward-looking market assessments to identify early-entry advantages ahead of leading competitors Evaluate market-specific product readiness across platform capabilities, sportsbook, casino content, payments, and compliance tools; research operators’ integrations, supported languages, content providers, and technical partners to identify gaps and adaptations Collaborate with Market Intelligence, Product Innovation, and Product teams to integrate insights into actionable analyses and document required adaptations or new tool recommendations in execution-ready formats Work with Legal and Compliance teams to assess regulatory gaps and market-specific technical compliance obligations Produce market entry reports, opportunity briefs, gap analyses, case studies, and strategic briefs for Sales, Product, and Leadership; recommend entry timing, product priorities, and investment focus, contributing to BRDs, PRDs, budgets, and financial documentation Continuously monitor researched markets for regulatory and competitive changes, updating assessments and recommendations Source and validate research using industry intelligence, regulatory publications, financial reports, competitor filings, databases, interviews, and historical performance metrics Identify potential platform migration targets and conduct pre-engagement research using operator news, public announcements, and industry publications Analyze target operators’ financial and performance indicators, including GGR, traffic, and player base Assess operators’ geographic footprint and technology stack, distinguishing between in-house and third-party platforms Requirements Bachelor's or Master's degree in Economics, Business, Finance, International Relations, or a related field 3+ years of experience in market research, market entry strategy, strategy consulting, competitive or sales intelligence, or business analysis, ideally within iGaming. Experience in fintech, telecom, or other heavily regulated multi-market industries will also be considered Demonstrated experience conducting market entry assessments and in-depth case studies of companies, ideally with direct influence on go/no-go or timing decisions Strong analytical and strategic thinking skills, with the ability to synthesize complex multi-source data into clear, executive-ready reports and presentations Experience working with company financials and performance metrics (GGR, traffic, revenue). Familiarity with iGaming operator economics and platform/technology stacks is a strong advantage Exposure to product readiness or gap analysis work across platform, sportsbook, casino, or payment capabilities is a strong plus Understanding of compliance, licensing, and regulatory tender processes, or the ability to work closely with Compliance and Legal teams Excellent research and written communication skills, with a proven ability to produce decision-ready reports, case studies, and strategic briefs Proficiency in Excel/data analysis tools. Experience with BI, market intelligence, or CRM platforms is a plus Fluent English (written and spoken). Knowledge of additional languages is a plus

Location: Yerevan, Armenia Description The Product Innovation & Research Analyst is responsible for deep-diving into the iGaming product ecosystem — evaluating competitor features, identifying innovation opportunities, and translating market insights into structured product intelligence that drives Digitain's roadmap and competitive positioning. This role sits at the crossroads of product thinking and competitive intelligence. You will work closely with Digitain's cross-functional product teams — Platform, Sportsbook, Live Casino, Relum, and Paydrom — to evaluate what competitors are building, what operators need, and where the greatest opportunities for differentiation lie. Responsibilities Conduct deep-dive product research across the iGaming ecosystem: platforms, aggregators, sportsbooks, live casino providers, virtual sports, and payment solutions Analyze product innovations, features, and technologies identified through both independent research and insights from the Market Intelligence Expert Identify product features and capabilities with proven or potential business impact: revenue uplift, player engagement, retention, or market differentiation Initiate proposals for new product sets or market-specific solutions when research identifies them as critical to competitive success or regional growth Evaluate potential impact, scalability, and strategic value of identified features — including quantitative assessments of revenue growth, user engagement, technical complexity, and time-to-market Conduct market- and region-specific product gap analyses, including local player preferences, regulatory requirements, and localization complexity assessments Assess Digitain's platform readiness for localization in specific countries; prepare initial resource estimations to support full market entry Identify and document operator pain points via social media, conference content, podcasts, and industry news; translate findings into structured insights for the Sales team Collaborate with cross-functional product teams to validate research, gather expert input, and present detailed analyses Track adoption and performance of competitor product features post-launch to validate impact assumptions and refine future recommendations Prepare comprehensive documentation of research outcomes to support BRD, PRD, and strategic planning processes Stay current on emerging product and technology trends (AI personalization, gamification, new betting formats, alternative payments) and proactively surface high-potential opportunities Requirements Bachelor's degree in Business, Economics, Marketing, Computer Science, or a related field 3+ years of experience in product research, product management, business analysis, or competitive intelligence — ideally within iGaming (platforms, sportsbook, live casino, payments); experience in fintech, SaaS, or gaming related industries also considered Demonstrated experience conducting deep-dive product research and translating findings into structured, actionable recommendations Strong analytical skills, with the ability to assess product features for scalability, technical complexity, and time-to-market Experience evaluating product features for business impact (revenue, engagement, retention) and presenting findings to cross-functional stakeholders Familiarity with the iGaming product landscape: platforms, aggregators, sportsbook providers, live casino, virtual sports, and payment solutions Excellent research skills, with the ability to source and analyze insights from conferences, podcasts, social media, industry news, and direct product testing Ability to prepare clear documentation to support BRD/PRD and strategic planning processes Ability to work closely with cross-functional product teams to validate research and gather expert input Ability to proactively propose and advocate for new product ideas and market-specific solutions based on research findings Fluent English (written and spoken); additional languages are a plus

Location: Yerevan, Armenia Description As a key member of our growing research team, the Market Intelligence Expert serves as the company's eyes and ears across the global iGaming landscape. This role is responsible for tracking industry movements, competitive dynamics, regulatory shifts, and market-level signals that inform Digitain's strategic direction across Sales and Product functions. The Market Intelligence Expert occupies a critical position at the intersection of research and strategy. You will be responsible for monitoring and synthesizing information across competitors, emerging markets, regulatory bodies, and industry events — transforming raw intelligence into actionable insights that power Digitain's commercial and product teams. Responsibilities Monitor and analyze emerging trends in the iGaming industry — including regulatory changes, technological advancements, market shifts, and upcoming innovations Track major players in the iGaming ecosystem by reviewing quarterly and annual reports, financial performance, revenue growth, and strategic announcements Evaluate sales and market growth by region, assessing key growth indicators, player acquisition trends, and penetration in both regulated and emerging markets Research product developments across the iGaming industry, including new tools, features, and integrations, and their potential market impact Assess operational network expansion — tracking growth in B2C operator networks and B2B partnerships, including platform adoption rates Monitor industry activity across public sources, including websites, conferences, press releases, and social media Identify early signals of market expansion across the industry Conduct competitive analyses of key iGaming players, including performance benchmarking and threat/opportunity identification Prepare and deliver high-quality research outputs: detailed reports, trend summaries, competitive landscapes, and presentations for internal stakeholders Source and validate data from industry reports, financial filings, news platforms, conferences, and proprietary tools Collaborate with team members to translate research findings into strategic recommendations and contribute to BRD/PRD preparation Proactively anticipate industry shifts (e.g., new regulations in Latin America, Asia, Africa) and alert relevant teams to emerging risks or opportunities Requirements Bachelor's or Master's degree in Business, Economics, Marketing, Finance, or a related field 5+ years of experience in market research, competitive intelligence, business analysis, or strategic research, with a strong preference for candidates from iGaming, fintech and e-commerce Proven track record of owning market intelligence or competitive analysis functions and reporting insights as market conditions change Deep, demonstrable knowledge of the global iGaming ecosystem: sportsbook and casino platforms, B2B/B2C business models, payment solutions, and regulatory frameworks across key regions is preferable Experience analyzing financial/annual reports, investor disclosures, industry publications and market data to assess and validate competitor performance and strategic direction. Strong strategic and critical thinking skills — able to identify and connect non obvious signals (regulatory shifts, hiring trends, product launches, social/media activity) into them into early-warning insights Ability to turn complex research into clear, decision-ready reports and presentations for stakeholders and leadership Experience with competitive intelligence platforms (e.g., Similarweb, H2gc, LinkedIn Talent Insights) is a strong plus Ability to work autonomously and take full ownership of the market intelligence function, setting priorities with minimal oversight Strong stakeholder management skills — able to balance competing requests from Sales and Product teams and prioritize based on strategic impact Proven ability to manage multiple concurrent research streams under tight timelines in a fast-moving, competitive industry Fluency in English (written and spoken); additional languages (Russian, Spanish, Portuguese) are a plus

Location: Romania; Lisbon, Portugal; Sofia, Bulgaria; Poland Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. As an ABM Program Manager, you will play a pivotal role in driving our account-based marketing strategies, orchestrating target account campaigns, and aligning sales and marketing efforts to accelerate growth. This is a remote vacancy. What you'll do: Responsibilities Build and maintain target account and contact lists from internal CRM (HubSpot) and external sources (Apollo.io and similar); ensure data quality, deduplication and GDPR-compliant contact handling; Set tasks and requirements for automating AI-based ICP checks and data enrichment; Operate account scoring and route accounts into two tracks: high potential to Sales (calls, emails, LinkedIn automation), low potential to marketing automation (email sequences, external call centres, LinkedIn outreach); Manage the workflow with regional sales teams: hand-offs, follow-up SLAs, lead quality feedback, regular syncs; Control ABM funnel metrics from sourced account to partner activation; brief the Analytics team and verify delivery; Produce transparent progress reports for C-level: slide decks, Gantt charts, status vs plan, risks and decisions needed. Requirements Relevant Experience. 3+ years in B2B marketing operations, demand generation, ABM, RevOps or sales operations; End-to-End Execution . At least one outbound or ABM programme run end to end, from list building to sales hand-off; Project Management. Proven project management across several teams, with timelines, dependencies and reporting to senior management; Tooling & Tech Stack. Hands-on HubSpot (or comparable CRM) and prospecting/enrichment tools: Apollo, Clay, GetSales, ZoomInfo or similar; AI & Automation. Practical use of AI/LLM tools for enrichment, qualification or workflow automation; able to write a precise task for technical teams (coding not required); Funnel & Scoring Knowledge. Understanding of account/lead scoring and the B2B sales funnel; Data Literacy . Reads funnel reports, spots inconsistencies, formulates clear requests to analysts; Presentation Skills. Strong presentation skills: executive decks and Gantt charts; Language. Fluent English, other languages are a plus.; Compliance. Basic knowledge of GDPR rules for outreach. NOTE: ONLY CVs IN ENGLISH WILL BE CONSIDERED Benefits Flexible schedules and opportunity to work remotely; Ambitious and supportive team who love what they do, appreciate each other, and grow together; Be at the forefront of regulatory changes in the e-invoicing space; Make a real impact on process efficiency and compliance; Internal programs for adaptation and training, development of soft skills, and leadership abilities; Partial compensation for participating in external training and conferences; Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world; Corporate prices on hotels and travel services; MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: Santa Clara, CA Workplace: onsite About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Role Overview You own a shift. Not a zone of it, not a function within it — the whole thing. Roughly 140 operators, 13 Cell Leads, and 3 Operations Supervisors collecting robot demonstration data, and you are the single person accountable for what that shift produces, how good it is, and whether everyone goes home safe. The shift you own runs whether or not the Production Manager is in the building. That's the job: your shift should be indistinguishable in output and quality from the one before it and the one after it. What You Will Do Own your shift's production plan end to end — accepted episodes, first-pass acceptance, utilization, and labor efficiency against target. Manage 2–3 Operations Supervisors; own their performance, their development, and the quality of the Cell Lead bench underneath them. Run shift start-up, mid-shift review, and a documented handoff — you receive the shift before yours and hand off cleanly to the shift after. Make the real-time calls: redeploying staff when a cell goes down, resequencing work when a task type stalls, flexing coverage when attendance comes in short. Own safety on your shift — daily walks, protocol enforcement, incident response, and the expectation that your supervisors use: their stop-work authority. Partner with Data Quality on your shift's acceptance rate; drive root cause into retraining and process rather than into a rework queue. Escalate equipment and rig issues to Lab Engineering and keep staffed-but-idle hours visible. Handle performance management and employee relations escalations from your supervisors, partnering with HR. Hold California meal, rest, and overtime compliance across every non-exempt employee on your shift. Report your shift's performance and variance daily, with the explanation and the fix, not just the number. What Good Looks Like Your shift hits plan without overtime surprises or last-minute heroics. Handoffs are clean enough that the next shift starts producing immediately. Your supervisors make decisions without calling you, and your Cell Leads are being prepared for supervision. Quality on your shift doesn't vary from the other shifts — consistency is the whole point of this layer. Problems reach the Production Manager as "here's what happened and here's what I did," not as an open question. Basic Qualifications 5+ years in production, manufacturing, warehouse, or lab operations, including 2+ years managing supervisors or team leads. Experience with full accountability for a shift or a production area of 75+ hourly employees. Track record owning daily output and quality targets, and explaining variance credibly. Experience with performance management, attendance, and employee relations for a non-exempt workforce. Working knowledge of California wage and hourly requirements for non-exempt employees. Available to own an assigned shift (day, swing, or night) onsite in Santa Clara. Preferred Qualifications Robotics, hardware, AI data collection, advanced manufacturing, or technical lab background. Experience in a quality-gated operation where output is inspected before it counts. Promoted from a supervisor role, or has promoted supervisors from their own team. Comfort pulling and interpreting your own shift data from dashboards or spreadsheets. Continuous improvement background — Lean Six Sigma, or equivalent practical experience. Bilingual (English/Spanish). Work Environment and Physical Requirements Onsite robotics lab and warehouse environment; the majority of your shift is spent on the floor. Assigned shift, with occasional cross-shift coverage during ramps, launches, and handoff issues. Must be able to stand and walk the floor for extended periods. Must be able to occasionally lift and/or move up to 25 lbs. Why This Role Matters Consistency across shifts is what turns a lab into an operation. This role is the reason the third shift produces like the first one, and the reason problems get solved on the floor instead of escalating. Benefits Included in the Offer: - Friendly Working Environment - IT Equipment - Social Activities - Global Mobility Policy - Employee Referral Program - Employee Assistant Program - Medical, Dental, and Vision Insurance - HSA & FSA - 401(k) retirement - Short & Long Term Disability Insurance - Accident, Critical Illness, Hospital Indemnity Insurance  - Telemedicine Benefit - Annual Leave - Paid Public Holidays - Maternity/Paternity Leave   Hourly Pay: $71-$81/hour.   Job Reference: #LI-JC1

Location: Montreal, Canada Senior Mission & Operations Satellite Systems Engineer – Hybrid/Remote Opportunity 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site preferred; hybrid/remote considered for exceptional candidates (must be willing to work on-site at least one week per month) 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. Candidates working remotely or in a hybrid capacity must be willing to travel and work on-site in Montreal for at least one week per month . About the Role We are seeking a Senior Mission & Operations Satellite Systems Engineer to lead mission planning, systems engineering, and operational design for advanced LEO and MEO satellite programs. In this role, you will support mission analysis, satellite operations, and the integration of space and ground systems while driving the design and implementation of automated mission operations. The ideal candidate has extensive experience in satellite mission design, systems engineering, modeling and simulation, and mission-critical aerospace programs. Key Responsibilities Lead mission planning, design, and operational analysis for LEO and MEO satellite missions. Develop and enhance automated satellite operations and mission workflows. Define and support space and ground segment architecture, system design, and integration. Collaborate with flight software teams to support mission operations and system performance. Develop and maintain satellite database operations and telemetry management concepts. Create and utilize models and simulation tools to evaluate mission performance and operational readiness. Develop engineering tools and automation scripts using Python or other scripting languages. Utilize MATLAB and AGI Systems Tool Kit (STK) for mission analysis, modeling, and simulation. Collaborate with multidisciplinary engineering teams to ensure successful mission execution and system integration. Provide technical leadership and mentorship throughout the project lifecycle. Required Qualifications Bachelor's degree in Engineering or a related technical field. 10+ years of relevant engineering experience. Experience with mission design and analysis for LEO and/or MEO satellite systems . Experience with automated satellite operations , particularly mission and operational design. Strong systems engineering experience in: Space and ground segment design, specification, and integration Flight software and its role in mission operations Satellite database operations Telemetry structures and operational concepts Experience creating or utilizing models and simulation software . Proficiency in Python or other scripting languages. Working knowledge of MATLAB . Experience using AGI Systems Tool Kit (STK) . Preferred Qualifications Experience leading mission planning and operations for complex satellite programs. Experience supporting end-to-end satellite mission design, analysis, and operations. Familiarity with commercial or government aerospace and space programs. Strong leadership, communication, and technical mentoring skills.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site preferred; hybrid/remote considered for exceptional candidates (must be willing to work on-site at least one week per month) 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. Candidates working remotely or in a hybrid capacity must be willing to travel and work on-site in Montreal for at least one week per month . About the Role We are seeking a Senior Flight-Operations Satellite Systems Engineer to lead the design, integration, and optimization of advanced satellite operations for LEO and MEO missions. In this role, you will provide technical leadership across flight operations, systems engineering, and mission planning while supporting the development of automated satellite operations and next-generation space systems. The ideal candidate has extensive experience in satellite operations, systems engineering, modeling and simulation, and mission-critical aerospace programs. Key Responsibilities Lead the design, integration, and operation of satellite flight systems for LEO and MEO missions. Develop and enhance automated satellite operations and mission workflows. Define and support space and ground segment architecture, system integration, and operational concepts. Collaborate with flight software teams to support mission operations and system performance. Develop and maintain satellite database operations and telemetry management strategies. Create and utilize system models and simulation tools to validate mission performance. Develop automation scripts and engineering tools using Python or other scripting languages. Utilize MATLAB and AGI Systems Tool Kit (STK) to support mission analysis, modeling, and system validation. Mentor engineering teams and provide technical guidance throughout the project lifecycle. Required Qualifications Bachelor's degree in Engineering or a related technical field. 10+ years of relevant engineering experience. Experience supporting LEO and/or MEO satellite systems . Experience with automated satellite operations , system design, and IoT technologies. Strong systems engineering experience in: Space and ground segment design, specification, and integration Flight software and its role in satellite operations Satellite database operations Telemetry structures and operational concepts Experience creating or utilizing models and simulation software . Proficiency in Python or other scripting languages. Working knowledge of MATLAB . Experience using AGI Systems Tool Kit (STK) . Preferred Qualifications Experience leading complex satellite systems engineering or flight operations initiatives. Experience supporting end-to-end satellite mission planning and operations. Familiarity with commercial or government aerospace and space programs. Strong leadership, collaboration, and technical mentoring skills.

Location: West Palm Beach, Florida, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Quantitative Research Developer to join our Quantitative Strategies team. The individual will research and develop ways to improve Graham’s current trading code base and create new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis and software development. Responsibilities Create production code for new trading signals Ensure the efficiency and accuracy of existing production code Research and develop methods to make existing trading signals more efficient, profitable and robust Research and develop new signals that trade futures and FX markets that complement and diversify production strategies in terms of style, source of alpha and markets traded Follow robust research and development procedures to reduce differences between simulated and actual performance Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately Regularly present findings and ideas to management and investment committee Complete other projects as requested by senior management Requirements PhD or MS in a quantitative field 2+ years related experience in systematic futures and/or FX trading on the buy side Exposure to securities and derivatives markets and investment processes with knowledge in mid-to-low frequency systematic strategies Advanced programming experience in languages suited for quantitative research and strategy implementation – python and/or MATLAB preferred Ability to synthesize complex topics into easily digestible written commentary Strong communication skills – both written and verbal This role requires commuting into our West Palm Beach, FL office Mondays through Fridays. Please note that our central Quantitative Research team sits out of Rowayton, CT but the manager for this new hire will be based out of West Palm Beach, FL. Base Salary Range The anticipated base salary range for this position is $200,000 to $275,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Москва Мы ищем Data Engineer, который будет отвечать за инфраструктуру, пайплайны и качество данных для обучения современных Vision-Language Models. Роль находится на стыке data engineering и ML: нужно будет работать с большими мультимодальными датасетами, понимать потребности исследователей и ML-инженеров, строить пайплайны очистки, фильтрации, категоризации и генерации данных, а также обеспечивать воспроизводимый экспорт данных в формат для обучения моделей. Обязанности * Собирать и структурировать потребности ML-команды в данных: какие данные нужны для обучения, дообучения, оценки и улучшения VLM. * Предлагать и реализовывать идеи пайплайнов очистки, фильтрации, дедупликации, категоризации и генерации данных. * Ориентироваться в современных практиках построения датасетов для Vision-Language Models: image-text pairs, synthetic data, filtering, quality scoring, data mixture design, dataset versioning. * Отвечать за инфраструктуру хранения и подготовки данных, включая: * 1. импорт данных из различных источников: production, Common Crawl, open-source datasets, generated data; 2. валидацию и контроль качества данных; 3. хранение и версионирование датасетов; 4. экспорт данных в форматы, пригодные для обучения моделей. * Проектировать и реализовывать пайплайны обработки данных на большом масштабе, включая десятки миллиардов изображений. * Разрабатывать пайплайны генерации синтетических данных для обучения и улучшения VLM. * Собирать статистику по данным, строить отчёты и визуализации для анализа состава, качества и покрытия датасетов. * Обеспечивать воспроизводимость, наблюдаемость и надёжность data-процессов. * Работать в тесной связке с ML-инженерами, исследователями и инфраструктурной командой. Требования * Сильный опыт в data engineering и построении production-grade data pipelines. * Уверенное владение Python, включая multiprocessing, multithreading и async-подходы. * Опыт работы с большими объёмами данных и распределённой обработкой. * Практический опыт с объектными хранилищами, в частности S3 или аналогами. * Опыт работы с YTsaurus или похожими системами для распределённого хранения и обработки данных. * Понимание принципов валидации, очистки, дедупликации и версионирования датасетов. * Опыт работы с DVC, Git, Docker. * Опыт работы с PostgreSQL или другими реляционными базами данных. * Умение проектировать устойчивые пайплайны: от импорта данных до финального экспорта в training-ready формат. * Способность самостоятельно разбираться в нечетко сформулированных задачах и доводить их до работающего решения. * Готовность работать на стыке engineering и ML research. Будет плюсом ------------ * Опыт работы с мультимодальными данными: изображения, текст, image-text pairs, captions, OCR, metadata. * Понимание того, как устроены современные датасеты для обучения VLM / LMM / multimodal models. * Опыт построения пайплайнов для synthetic data generation. * Опыт реализации quality scoring, filtering, semantic deduplication, clustering или data attribution. * Опыт визуализации статистики по большим датасетам и построения внутренних аналитических дашбордов. * Опыт работы с Common Crawl, LAION-подобными датасетами, open-source vision-language datasets. * Базовое понимание ML training pipeline и того, как качество данных влияет на качество модели. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS JOB We're looking for a Head of Marketing Strategy & Operations to run the business side of marketing. Our marketing team went from two people to 25 this year, organized around four functions: product marketing, brand and consumer, enterprise, and growth. This is the first operations hire on that team. You'll own the marketing budget with Finance, run our planning cycle and operating cadence, keep hiring aligned with the plan, and partner directly with the CMO on how marketing sets priorities and tells its story to the executive team and the board. It's a role for someone who has sat close to a CMO and a CFO, likes turning ambiguity into a plan people can execute, and is comfortable building the function themselves before building a team. WHAT YOU'LL DO: Budget & Financial Operations - Own the marketing budget end to end with Finance: allocation across teams and channels, tracking against plan, forecasting, variance flags, and the tradeoff conversations that follow - Build the layer of visibility leadership needs (spend by team, channel, and program) on top of the spend-tracking tools we already have, so decisions get made with numbers - Run quarterly, half-year, and annual budget planning, and make marketing's case to Finance and the executive team - Own marketing's vendor and agency contracts end to end: evaluations, procurement, renewals, and a clear view of what we pay for and why Planning & Operating Cadence - Own marketing's planning cycle: translate company goals into marketing objectives, OKRs, and resourced plans, and keep them current as priorities shift - Bring a point of view. Pressure-test plans, frame the tradeoffs, and help the CMO decide where marketing places its bets - Design the lightweight processes and internal tools (planning, intake, reporting) that let a 25-person team operate like a much bigger one - Run the operating rhythm for the marketing leadership team: meetings, all-hands, team-wide readouts, agendas, decisions, and follow-through - Keep the marketing functions connected so plans, launches, and budgets move together Executive Partnership - Partner directly with the CMO on board materials, executive readouts, and strategy documents. Own first drafts and make them data-backed and on-message - Extend the CMO's reach across the team: surface risks early, chase decisions to closure, and keep priorities clear week to week - Represent marketing in cross-functional planning with Finance, Sales, and Product Hiring & Org Operations - Partner with Talent Acquisition and marketing leads on headcount planning, requisition tracking, and interview process, and keep hiring plans aligned with budget and org design - Standardize the basics across sub-teams (job descriptions, interview loops, scorecards) and help new leaders land well WHAT WE'RE LOOKING FOR: - 10+ years in marketing strategy and operations, business operations, strategic finance, management consulting, or a similar role supporting a CMO, GM, or business unit leader - You've owned a sizable marketing or departmental budget end to end and can talk about spend, forecast, and variance the way Finance does - You've built or run a planning cycle (annual or half-year, OKRs) and an operating cadence for a leadership team - You've drafted board or executive materials for a senior leader and know the difference between a readout and a narrative - Experience with headcount planning and hiring operations alongside a Talent team - You've run vendor evaluations and procurement alongside Finance and kept a clean view of contracts and renewals - Comfortable as an individual contributor. This is the first ops hire; you'll do the work before you have a team - You scope light and move fast. We plan in weeks, not quarters, and you build just enough process to keep a fast team aligned - You build trust quickly, from individual contributors to the C-suite - Bonus: you're comfortable building your own tools with AI. We use Replit to run Replit This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.   Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time. Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs. Develop performance indexes and heatmaps that identify product areas and customers using the most support resources. Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering. Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers. Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth. Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis. What you'll bring Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company. Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations. Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters. Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools. Translate ambiguous business questions into structured analytical frameworks. Present findings clearly to technical and non-technical stakeholders. Plan and prioritize work independently in a remote, cross-functional environment across time zones. You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives. About the team Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment. 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: UAE - Dubai Workplace: onsite 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers. You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization. You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics. What you’ll do Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches. Who you are Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. Nice to haves Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.

Location: Amsterdam Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE MISSION Payments are the infrastructure behind how modern businesses grow. At Checkout.com http://Checkout.com, our Account Management team helps established digital merchants turn that infrastructure into an advantage. Based in Amsterdam, this 12-month fixed-term role will see you manage a focused portfolio of direct merchants across the EEA. You’ll work with online businesses across sectors such as retail, money transfer and fashion, with relationships spanning key markets including Germany, France, Spain, Portugal and the Netherlands. You’ll be the trusted advisor and main point of contact for your merchants, helping them navigate product and platform questions, shape stronger payments strategies and unlock new opportunities for growth. This is a post-sales growth role: you’ll protect and deepen existing partnerships while identifying where Checkout.com http://Checkout.com can create more value through product adoption, payment performance, commercial insight and expansion. We’re looking for someone who enjoys being close to the customer, is comfortable with numbers and commercial conversations, and can build credibility across different markets and cultures. HOW YOU’LL MAKE AN IMPACT - Own high-touch relationships with a focused portfolio of established merchants mostly across the EEA region, primarily supporting online businesses across markets such as Germany, France, Spain, Portugal and the Netherlands. - Act as the main point of contact for merchant queries across Checkout.com http://Checkout.com’s products and platform, bringing clarity, pace and strong relationship management to day-to-day partnership. - Understand each merchant’s business model, revenue drivers and priorities, then turn that knowledge into clear account development plans. - Identify and lead cross-sell, upsell and expansion opportunities across Checkout.com http://Checkout.com’s products, value-added services and partner network. - Act as a payments consultant, helping merchants improve performance and shape a comprehensive payments strategy across their markets. - Use data, forecasting and commercial modelling to diagnose performance, identify risks, uncover growth opportunities and build credible recommendations. - Lead commercially thoughtful pricing and negotiation conversations that balance merchant value with sustainable outcomes for Checkout.com http://Checkout.com. - Coordinate merchant projects and internal workstreams, working closely with teams such as Sales, Product, Solutions Engineering, Integration, Risk, Legal and Support to keep commitments moving. - Bring the voice of the merchant into internal discussions, build strong rapport across cultures and help improve how we manage, grow and support our merchants. WHAT MAKES THIS ROLE DIFFERENT - Join a company growing at real scale: Checkout.com http://Checkout.com processed more than 300bn in total payment volume last year, compared with 183bn in 2024. - Work with established direct merchants and globally recognised digital businesses, helping them solve complex payment challenges across the UK and their wider markets. - Be rewarded for both account growth and broader business impact through a competitive base salary, a meaningful base-to-variable incentive mix and generous commission upside. - Make a visible difference in a high-performance, collaborative team where ownership, learning and commercial impact are valued. QUALIFICATIONS - 3+ years’ experience in B2B Account Management, Relationship Management or a similar commercial role, ideally within FinTech OR payments. - Strong written and verbal English is essential. German, Spanish or Italian language skills are a plus. - A strong commercial mindset, with evidence of identifying growth opportunities, expanding existing relationships and delivering measurable customer or revenue impact. - Experience managing strategic or complex accounts, building trusted relationships and navigating multiple stakeholders across different markets. - Strong commercial judgement, including the ability to understand revenue drivers, discuss pricing and identify where value can be created. - An analytical mindset and comfort working with performance data, forecasting and commercial modelling. - Payments or FinTech experience is a strong advantage, but not essential; experience in a high-growth start-up or adjacent technology environment is also relevant. - Clear, adaptable communication, strong collaboration skills and the ability to build rapport across cultures. - The ability to prioritise across multiple accounts, manage risk and keep important work moving in a fast-paced environment. HOW WE’LL WORK TOGETHER You’ll join a team that takes a practical, customer-first approach to account growth. We care about the quality of the relationships we build, the rigour behind our recommendations and our ability to follow through. We challenge assumptions, share knowledge and work across boundaries to solve problems for our merchants. If you enjoy combining strategic thinking with hands on execution and want to help digital businesses get more from their payments infrastructure this is an opportunity to make a visible difference at Checkout.com http://Checkout.com. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/