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Location: United States; Germany; The Netherlands Workplace: Remote PROGRAM OVERVIEW The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure. Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse. The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university. We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community. During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community. Program length: 10-12 weeks, with flexibility based on academic calendars and research needs Typical timing: Summer, beginning approximately June 1 Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first. Research environment: ClickHouse Labs Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest Compensation: commensurate with experience, a monthly stipend will be paid RESEARCH AT CLICKHOUSE LABS ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community. We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale. Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems. PROGRAM GOALS 1. Identify exceptional PhD researchers working in areas directly relevant to ClickHouse. 2. Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs. 3. Build long-term relationships with researchers and academic institutions. 4. Encourage continued research and open-source contributions after the internship. 5. Create opportunities for co-authored papers, thesis advising, or other academic collaboration. 6. Increase ClickHouse's visibility within the database and systems research community. 7. Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels. WHAT MAKES THE PROGRAM DIFFERENT This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to: - Emerging research questions - Current ClickHouse priorities - New academic research - Interesting systems or database prototypes - Work candidates have already completed - Opportunities to apply new research ideas to ClickHouse The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together. CANDIDATE PROFILE We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space. IDEAL CANDIDATES - Currently pursuing a PhD in computer science or a closely related field - Conducting research in areas relevant to ClickHouse - Demonstrated research excellence - Strong database systems, distributed systems, hardware, or related technical background - Has demonstrated ability to independently pursue complex research questions - Ideally has prior experience with ClickHouse open source but not required**.** - Has research, prototypes, or publications that could translate into meaningful work with ClickHouse - Interested in continuing research beyond the internship - Potential interest in open-source contribution and academic collaboration CANDIDATE SELECTION PHILOSOPHY The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore. A candidate who has already: - Worked with ClickHouse - Built a relevant database or systems prototype - Published research in an area relevant to ClickHouse - Explored a technical problem ClickHouse is interested in may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas. RESEARCH AREAS & PROJECT SCOPE Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins. Research projects may emerge from: - A candidate's existing research - A recent academic paper - A prototype or system the candidate has developed - An emerging ClickHouse Labs research priority - An opportunity to test or extend an existing research concept within ClickHouse IF THIS IS RELEVANT AND EXCITING TO YOU, PLEASE APPLY! PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Los Angeles, CA or Remote Workplace: onsite Role Description Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.  This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline. You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.  We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it. What You'll Own: Inbound Growth & Demand Own performance across the inbound marketing funnel, from acquisition through qualified opportunity. Understand how prospects discover, engage with, convert through, and progress across marketing channels. Identify gaps, friction, and growth opportunities throughout the buyer journey. Partner with the Director of Marketing to connect organic visibility to measurable business outcomes. Develop a holistic view of inbound performance across all three brands. Paid Acquisition & Performance Marketing Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels. Manage and optimize paid marketing budgets. Determine where investment should increase, decrease, or be tested based on performance. Develop audience, offer, channel, and campaign testing strategies. Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume. Manage paid media agencies, freelancers, and specialized partners. Campaign Activation & Distribution Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs. Develop distribution and amplification plans around major campaigns and content. Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies. Ensure campaigns have clear paths from awareness and engagement to conversion. Find opportunities to extend the reach, performance, and business value of existing content and creativity. Conversion Rate Optimization Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths. Partner with the Director of Marketing and creative resources on messaging and creative variations. Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices. Retargeting, Lifecycle & Lead Nurture Develop strategies for continuing to engage prospects after their initial interaction. Build retargeting audiences and programs across relevant channels. Develop lifecycle segmentation and nurture strategies. Partner with fractional Marketing Operations support on automation and technical implementation. Improve progression from initial engagement to qualified opportunity. AI-Native Marketing & Execution Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant. Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting. Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis. Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution. Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves. Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations. Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable. Growth Experimentation Maintain a prioritized growth experimentation roadmap. Move quickly from hypothesis to execution Scale what works and stop what doesn't. Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned. Performance Analytics & Attribution Connect marketing activities to measurable business outcomes. Understand performance across visitor → lead → qualified lead → opportunity → pipeline. Establish KPIs for campaigns and acquisition programs. Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI. Turn performance data into recommendations and actions, not simply dashboards. Help leadership understand what's working, what's not, why, and what Marketing should do next. Partnership With the Director of Marketing This is designed to be a close counterpart relationship between two distinct areas of marketing expertise. The Director of Marketing owns the market-facing strategy : overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV. The Growth Marketing Lead owns the performance engine : acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement. You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning. At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy. Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes. Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating. Fractional Marketing Operations Partnership The Growth Marketing Lead will work closely with a fractional/retained Marketing Operations resource who can support the technical infrastructure required to run and measure the growth engine. This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure. You don't need to personally administer every system. You do need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions. You will effectively serve as the business owner of marketing performance , with specialized Marketing Operations support helping i What Success Looks Like: Success will be measured through outcomes including: Marketing-sourced pipeline Qualified opportunities generated Inbound conversion rates Cost per qualified lead and opportunity Lead-to-opportunity conversion Paid acquisition efficiency Landing-page and website conversion Funnel velocity Growth experiment performance Improved visibility and confidence in marketing performance across the portfolio Experience We're Looking For: 3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology. Demonstrated experience owning multi-channel inbound acquisition programs. Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing. Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline. Experience with landing-page optimization, CRO, A/B testing, and structured experimentation. Experience building retargeting, nurture, and lifecycle programs. Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue. Experience working with CRM, marketing automation, attribution, analytics, and reporting systems. Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge. Strong analytical skills and the ability to translate data into clear recommendations and actions. Experience managing agencies, freelancers, vendors, and specialized external resources. Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources. Comfortable balancing strategic thinking with hands-on execution. Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful. How We Work: You have a startup mindset. You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner. We trust your expertise. There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results. You're collaborative and dynamic. You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own. You move fast. We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again. You take ownership. If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate. You're a team player. We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal. You're adaptable. Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace. You're AI-native. AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work. You're comfortable with cybersecurity. You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance. You care about outcomes more than activity. Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it. And we genuinely enjoy working together! Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here. What We Offer: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Market Surveillance Analyst to join our Compliance team. This role is focused on the day-to-day review and investigation of potential market abuse activity. You will use surveillance tools, trading data, and market research to assess alerts and produce timely, well-reasoned investigations supported by clear quantitative and qualitative evidence. The role requires understanding of markets, exchange products, and order-book dynamics, alongside sound judgment. You will work closely with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to support a robust and continuously improving surveillance framework. You will maintain complete, accurate, and audit-ready investigation records, while contributing to special projects and priority requests in a fast-paced global environment. What You’ll Be Doing Investigate potential market abuse activity, including wash trading, circular trading, price ramping, insider trading, spoofing, layering, and other related activities. Review and analyze surveillance alerts using industry-leading tools and platforms. Produce thorough, high-quality investigations supported by clear evidence and well-documented conclusions. Use data, research, and analytical skills to conduct both quantitative and qualitative assessments. Partner with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to strengthen and continuously improve the Surveillance function. Maintain complete, accurate, and audit-ready documentation for alerts and investigations. Support priority requests and special projects in a fast-paced, evolving environment. What We Look For In You BA/BS in a related technical field or equivalent practical experience. 2-3 years of experience in market surveillance, trade surveillance, or closely related field. Familiarity with end-to-end market surveillance workflows. Strong understanding of the digital-asset industry and products offered by digital-asset exchanges. Knowledge of market structure and order-book dynamics. Working knowledge of relevant regulatory and compliance requirements. Strong integrity, sound professional judgment, and the ability to recognize when an issue requires escalation. A self-motivated, proactive approach, with the ability to work independently in a fast-paced global environment. Nice to Haves Familiarity with commonly used trade surveillance & reporting tools. Professional AML/ATF compliance training or accreditation (e.g. ICA or CAMS). Practical knowledge of CeFi trading products, including spot, derivatives, margin or leveraged products, institutional services, and OTC flows. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $75,000 - $113,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Poland Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve how our language models work for Polish users. You will measure quality on real product tasks, build Polish-language data and evaluations, and improve models where the results show gaps. Your work will help us understand which Polish-language use cases are ready for launch. The methods you build should also be useful as we expand to other languages. What you will do - Define priority Polish-language use cases and quality targets with Product and go-to-market teams. - Measure current model quality in Polish and investigate errors in language use, terminology, and user tasks. - Build Polish-language datasets and evaluations, using native-speaker review where needed. - Improve model quality through better data, fine-tuning, post-training, or other adaptation methods. - Set up regression tests, quality checks, and monitoring for Polish-language model updates. - Use evaluation results and market feedback to identify remaining gaps and recommend next steps. What you will need - 3+ years of hands-on ML or NLP engineering experience, including work on a non-English or multilingual system in production. - Strong Python skills and experience with PyTorch, JAX, TensorFlow, or a similar ML framework. - Experience building evaluations that reflect real user tasks and combine automatic metrics with human review. - Experience preparing and checking language datasets and building reliable data pipelines. - Hands-on experience fine-tuning, post-training, or adapting NLP or LLM models and measuring the results. - Strong software engineering and production ML skills, including model versioning, regression testing, and monitoring. Nice to have - Professional working proficiency or native-level fluency in Polish. - Experience improving an AI or NLP product for a new language or market. - Research or open-source work in multilingual NLP or model evaluation. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a hands-on Security Engineer with strong application security fundamentals and a track record of finding and fixing real vulnerabilities. You’ll own bug bounty programs and external audits, secure our code and software supply chain, and build tooling that protects Mysten’s products and users across the Sui ecosystem. Responsibilities - Run Mysten's bug bounty programs: triage, severity, responses, internal escalations, fix validation, and the budget and payouts. Turn recurring report classes into automated checks. - Own audit engagements: scope and schedule external audits, act as the technical counterpart during the engagement, and track findings through remediation and fix validation. - Conduct code and design reviews of systems built by Mysten, its subsidiaries and partners (Rust, TypeScript, Move). Drive issues to conclusion, including investigation and incident response, and run variant analysis so each bug class is closed everywhere it occurs. - Own software supply chain security: dependency and CI/CD malware defenses, Endor Labs, the code security service (GitHub controls, merge bots), and the ongoing code security self-auditing service. Detect and respond to compromised packages, maintainers and build pipelines, and secure the provenance and signing of what Mysten ships. - Build and improve anti-scam and anti-abuse tooling for the Sui ecosystem: detect phishing sites, malicious dApps, drainer contracts and other threats that target Sui users, and work with wallet teams on mitigations. - Build security tooling: LLM-driven triage and review agents, and static and dynamic analysis (taint, call graphs, fuzzing) wired into CI and code review. Build in known-clean checks so people trust the results.   MINIMUM QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 3+ years of hands-on experience in security engineering, application security or product security, with a track record of finding real vulnerabilities (bug bounty reports, audit findings, CVEs or published research). - Strong Web2 security fundamentals: XSS, CSRF, SSRF, authorization flaws, injection, deserialization, software supply chain failures, cryptographic failures. - Proficiency in one or more of Rust, TypeScript, Python or Move, and experience reviewing and writing security-sensitive code. - Hands-on knowledge of software supply chain attack surface: package ecosystems (npm, crates.io http://crates.io, PyPI), CI/CD (GitHub Actions workflow injection, token exposure, unpinned actions), and build provenance. - Solid understanding of applied cryptography fundamentals and the common ways cryptographic systems are misused in practice. - Experience on either side of a bug bounty program or an audit engagement. - Strong written and verbal communication, including the ability to influence teams you have no formal authority over. - Interest in the web3 space is required.   PREFERRED QUALIFICATIONS - Smart contract or wallet security: Move, Solidity or Rust-based chains; Sui's object and capability model is a plus. - Static or dynamic program analysis: CodeQL, Semgrep, taint analysis, fuzzing, symbolic execution. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Anti-phishing, anti-fraud or trust & safety experience: domain and content monitoring, crawling, classifiers, threat intelligence. - Knowledge of recent crypto incidents and the defect classes behind them: drainer kits, DeFi frontend compromises, package-registry compromises. - Notable bug bounty rankings, CVEs, publications or conference talks. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: EMEA; Americas (EST only) Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. The role We’re looking for a GTM Operations Manager to build and improve the workflows that connect our go-to-market teams. A promising account signs up. Does the right person find out, with enough context to act? A customer becomes eligible for a new product. Do they receive useful guidance? A data sync fails overnight. Do we catch it before it affects a campaign, account handoff, or business decision? You’ll help make those things work reliably. You’ll join an existing GTM Operations team, working closely with @Nathan Bellehsen on Salesforce and Sales systems and @Masha Tsaryk on Marketing and customer-lifecycle systems. Your initial focus will be lead handoffs and lifecycle execution: the data, automation, quality checks, and reporting that turn customer signals into useful action. This is a hands-on individual-contributor role. You’ll own agreed projects from understanding the problem through building, testing, rollout, and ongoing improvement. Experienced teammates will provide context, help set priorities, and partner with you on architectural decisions. Within that direction, we expect you to make progress independently and flag problems early. Our stack includes Salesforce, Customer.io http://Customer.io, Clay, Looker, automation tools, and a growing set of AI workflows. You don’t need to know every tool. You do need to understand how systems connect and enjoy figuring out why something isn’t working. Why we’re hiring for this role now RevenueCat’s GTM organization is growing across Sales, Marketing, and Customer Growth. We’re developing more deliberate ways to identify promising accounts, help customers adopt our products, and turn successful one-to-one work into programs that reach many more people. Our operations team already supports the systems behind that work. We need more capacity to take important workflows from “this could work” to something dependable that people use every day. You’ll help us ship those improvements while making the existing operation easier to run: fewer manual handoffs, clearer ownership, more trustworthy data, and less time spent solving the same problem twice. What you’ll be responsible for - Own selected GTM workflows end-to-end. Translate a business problem into a practical solution, agree how success will be measured, build and test it, and stay responsible after launch. - Make lead and account handoffs dependable. Build and improve enrichment, qualification, routing, alerts, and follow-up visibility. Help ensure important signals reach a named owner, and make missed or failed handoffs visible. - Put lifecycle programs into production. Partner with Marketing and Customer Growth on audience definitions, triggers, exclusions, data syncs, campaign QA, and measurement. Turn repeatable requests into workflows and templates teammates can use. - Keep data connected and usable. Trace how account, contact, and product-usage data moves between systems. Investigate stale records, duplicates, mismatched relationships, and failed syncs; fix what you can and work with the relevant system or Data owner on deeper issues. - Build automation that holds up in everyday use. Test realistic scenarios and edge cases, monitor failures, and make it clear how to recover when something breaks. Bring consequential changes to the relevant system owner before rollout. - Use AI where it improves the work. Build or improve workflows for tasks such as enrichment, research, qualification, and quality checks. Evaluate the output, understand the failure modes, and measure whether the result saves time or improves quality. - Make what you build understandable and useful. Document your workflows, enable the people using them, gather feedback, and improve adoption. Share knowledge so another teammate can operate and troubleshoot your work. Keep documentation current as workflows change, and fill gaps in the existing processes you take on. - Make operational performance visible. Build and maintain reports that help teams understand workflow health, handoff gaps, campaign execution, and adoption. Work with senior Ops teammates and Data on consistent definitions. What you’ll need to be successful - 3+ years of hands-on experience in GTM, revenue, marketing, sales, or customer operations. - Practical Salesforce experience. You understand objects, relationships, fields, flows, and how data moves through the system. You have built or changed things yourself. - Experience building in a marketing automation platform such as Customer.io http://Customer.io, HubSpot, Marketo, Braze, or Iterable, including segmentation, triggers, and integrations. - Experience building something useful with AI. You can explain the problem, your contribution, how you checked the result, what failed, and what you changed. A sanitized walkthrough is welcome; we don’t expect confidential work from a previous employer. - Strong troubleshooting and analytical judgment. You can trace a problem across systems, check your assumptions against data, and distinguish a symptom from its cause. - Ownership and follow-through. You can take an agreed problem, work through ambiguity, communicate tradeoffs, and deliver without needing every step assigned. - Clear written communication. You keep stakeholders informed, document decisions, and explain technical problems in language others can act on. - Care for the details. You think about the wrong audience, missing record, duplicate trigger, or failed handoff before it becomes someone else’s problem. - Learning agility and adaptability. You can transfer what you know to unfamiliar tools and adjust your plan when priorities change, while keeping commitments and stakeholders informed. Ideally, you - Have worked in a product-led or usage-based business with both self-service and Sales-assisted customers. - Have connected CRM, marketing automation, customer-success, or product-usage systems. - Can use SQL, APIs, webhooks, or lightweight scripts to investigate data and connect tools. - Have improved adoption of an internal tool or replaced repeated manual work with a maintained workflow. - Have supported customer onboarding, product adoption, lifecycle education, or account-coverage programs. What success looks like Within the first month, you’ll: - Learn how customers move through RevenueCat and how our GTM teams support them. - Map an initial workflow with @Nathan Bellehsen and @Masha Tsaryk, including its data sources, owners, dependencies, and common failure points. - Ship your first useful improvement as part of RevenueCat’s “first ship” tradition. - Agree your initial ownership area and a prioritized set of problems to solve. Within the first three months, you’ll: - Own the day-to-day operation of an agreed set of lead and/or lifecycle workflows. - Deliver an improvement from scoping through rollout, with clear documentation and stakeholder feedback. - Establish baseline measures and monitoring for the workflows you own. - Give another teammate enough context to support your work when you’re away. Within the first six months, you’ll: - Demonstrate measurable improvement in a core workflow, such as fewer missed handoffs, faster campaign delivery, fresher data, or less manual effort. - Turn recurring operational requests into reusable processes. - Show that the people your workflows serve are using them successfully, and improve what isn’t working. Within the first twelve months, you’ll: - Independently deliver projects across systems within your areas of ownership. - Have a track record of reliable workflows, useful automation, and improvements that make GTM teams more effective. - Help shape the next priorities using evidence from users, operational performance, and customer needs. - Be developing deeper expertise and taking on progressively more complex work. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Hybrid Workplace: remote Are you passionate about games and connecting with people? We’re looking for someone to help grow our communities, support players throughout their journey, and create meaningful experiences. Here, players are at the heart of everything — and you’ll be part of the team that turns that connection into real engagement.   Responsibilities - Support players by responding to queries and following up to ensure their issues are resolved - Help identify player needs and guide them through specific features and functionalities - Assist in tracking and reporting product issues - Collect, organize and relay player feedback, feature requests and insights to the relevant internal teams - Interact with players across social media platforms — public and private messages — sharing updates and helping identify relevant trends - Contribute to content creation for our social media channels   Requirements - Currently enrolled in Business, Marketing, Communication, or a related field - Professional proficiency in English  - Player/customer-oriented mindset with good communication and problem-solving skills - Good organizational skills and ability to manage multiple priorities - Openness to exploring how AI tools can be applied to community management and player support   Nice to Have - Familiarity with the mobile gaming industry and social media - Experience with help desk software or remote support tools - An investigative mindset — enjoy spotting patterns and digging into data to surface insights What we offer - Competitive remuneration - Flexible benefits  - Career development support - Casual environment as well as the dress code  - Remote-friendly with occasional in-person meetings in São Paulo, when needed. - A space for resting moments, full of snacks, fruits, and drinks .   If you want to share this ride with us and join a lightweight, fun and focused environment that breathes innovation and game culture, apply now!

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a highly technical, hands-on MTS, ML Security to join Higgsfield Security and own security across our GPU clusters and AI/ML infrastructure, from model training to inference and production deployment. In this role, you will work as part of the Security team and closely with our ML and Infrastructure teams to design, implement, and operate security controls that protect models, data, and underlying infrastructure. Your core responsibilities will include securing GPU compute environments, assessing infrastructure and AI/ML vendors, and enforcing security requirements through technical controls, deployment policies, and verified remediation. We're looking for someone who combines deep security engineering expertise with a practical, solutions-oriented mindset. The ideal candidate is comfortable working across cloud environments, Kubernetes, Linux, and GPU infrastructure, and understands how to balance security, performance, and reliability in a fast-moving AI environment. This role carries direct ownership of GPU infrastructure security and the security requirements that third-party providers must meet to support Higgsfield’s workloads and data. What you'll do: AI/ML & GPU Infrastructure Security - Own the security of GPU clusters supporting distributed training and production inference across cloud and rented datacenter environments. - Harden GPU hosts, operating systems, drivers, container runtimes, Kubernetes clusters, and workload scheduling configurations; reduce privileged access and unnecessary exposure. - Secure distributed training environments and GPU workloads through isolation, access controls, and data movement restrictions. Validate isolation between tenants and workloads across compute, networking, and storage, including shared GPU environments where applicable. - Design and implement controls to protect sensitive datasets, model checkpoints, weights, and customer data. - Strengthen inference security through tenant isolation, service authorization, secure model loading. - Partner with ML and Platform Engineering teams to integrate security into infrastructure design and development workflows. Vendor Security Assessment & Enforcement - Lead technical security assessments of GPU infrastructure providers, datacenter operators, and other AI security vendors that process Higgsfield data and support AI workloads. - Evaluate vendor architecture and evidence covering tenant isolation, privileged access, data handling and retention, use of customer data for model training, encryption, vulnerability management, and incident response. - Translate security requirements into enforceable technical controls, including approved configurations, and continuous checks for configuration drift. - Track internal and vendor security findings to closure with accountable owners and deadlines, validate remediation, and escalate unmet requirements. Document any approved exceptions with compensating controls and expiration dates. Cloud & Platform Security - Design, implement, and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and third party datacenter environments. - Secure infrastructure provisioning, configuration management, and access to third-party infrastructure providers. Restrict and audit vendor and administrator access to cluster management interfaces and production systems. - Implement least-privilege access, workload identity, secrets management, encryption, and auditable access controls. - Identify and remediate vulnerabilities and configuration risks across production systems, including GPU hosts, drivers, and container runtimes, coordinating changes with infrastructure owners to maintain service reliability. Security Operations & Risk Management - Develop and maintain detection and response capabilities for infrastructure and AI-specific security threats, including unauthorized GPU workloads, privilege escalation, and suspicious data transfers. - Investigate and respond to potential credential compromise, unauthorized data access, model theft, and compromised workloads. - Partner cross-functionally to implement practical security improvements that account for the performance, scalability, and reliability requirements of GPU workloads. Requirements: - Strong hands-on experience in Security Engineering, Infrastructure Security, Platform Security, or a related technical discipline. - Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security. - Practical experience securing or operating GPU clusters or distributed AI/ML infrastructure, with an understanding of training and inference workloads, GPU drivers and runtimes, and workload isolation. - Experience designing and implementing security controls across complex, distributed production environments. - Strong knowledge of identity and access management, workload isolation, encryption, secrets management, and least-privilege principles. - Experience conducting technical vendor security assessments, evaluating supporting evidence, and driving remediation with external providers. - Ability to identify, investigate, and remediate security vulnerabilities and infrastructure threats. - Proficiency in scripting or programming languages such as Python, Go, or Bash. - Experience partnering with Infrastructure, Platform, or ML Engineering teams to implement security solutions. - Strong technical ownership, sound judgment, and the ability to prioritize security risks in a fast-paced environment. - A hands-on, collaborative approach with the ability to independently drive security initiatives from design through deployment, verify that controls work in production, and hold internal teams and vendors accountable for agreed security requirements. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are looking for an Intermediate Developer to join the Device Trust team and help us improve the reliability and operational excellence of the systems behind the Device Trust authentication service. This is a software engineering role with a strong reliability focus. You will write and maintain production code, improve how our services are operated, and help make a critical applications path safer, more observable, and easier to evolve. Device Trust authentication is an important component of our customers’ authentication flows, helping organizations make device posture part of their access decisions. Because it sits directly in that path, reliability is a first-class engineering concern. The service is already relied upon by customers every day, and in this role you’ll help us continue raising the bar through stronger resilience, observability, operational practices, and safe evolution of the system. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2+ years of experience in software development. - Experience working with backend services, application programming interfaces (APIs), distributed systems, or other software where reliability and availability matter. - Take ownership of scoped problems from investigation through implementation and follow-up. - Familiarity with Ruby on Rails (Rails). - Use observability tools to understand system health and investigate issues; experience with Datadog is valuable. - Care about testing, maintainability, and clarity in both code and documentation. - Communicate clearly by sharing progress, raising blockers early, and helping stakeholders understand outcomes. Bonus points for: - Familiarity with or exposure to Kubernetes. - Experience with Datadog. - Experience with Terraform. What you can expect: - Build and improve the services that power Device Trust. - Improve the reliability, observability, and operability of production systems through software, automation, and thoughtful engineering practices. - Work across application code, service dependencies, cloud infrastructure, networking, deployment systems, and operational tooling. - Help establish safer ways to make and validate changes to critical systems. - Participate in incident response and post-incident learning, turning operational lessons into lasting improvements. - Partner with engineers across Device Trust, Platform, Security, and other teams to identify risks, reduce operational friction, and improve the customer experience. USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: New York Office; Massachusetts; Connecticut; Georgia; Pennsylvania; New Hampshire Workplace: Hybrid The Business Operations team sits within Finance and partners across Chainalysis to strengthen how the company plans, makes decisions, and executes. Combining analytical rigor with practical operating judgment, the team helps leaders translate company priorities into clear plans, effective operating rhythms, and measurable outcomes. As Chainalysis continues to evolve, Business Operations also helps build the processes and ways of working that enable teams to scale and adapt. You’ll join a close-knit team working with partners across Finance, R&D, go-to-market, Legal, Security, and beyond. The team takes on high-priority work across the business, often creating structure where approaches are still taking shape, and helps teams align and move change forward. This role offers broad exposure to Chainalysis and the opportunity to help shape how the company operates through its next stage of growth. In this role, you’ll: As a Senior Business Operations Analyst at Chainalysis, you will be a strategic operator and connective tissue across leadership and functions - helping translate company priorities into clear plans, operating rhythms, and measurable outcomes. You’ll partner with leaders across Finance, Product, Engineering, Sales, Marketing, Customer Success, and other teams to improve how the business plans, makes decisions, and executes. You’ll support high-priority, cross-functional initiatives end to end: framing ambiguous problems, developing analyses and recommendations, aligning stakeholders, establishing milestones and governance, and driving follow-through. You’ll help run planning and business review cadences, build KPI reporting and insights, improve processes and systems, and support change initiatives such as pricing and packaging, go-to-market readiness, product launches, and organizational or operating-model changes. You will also: - Identify friction in cross-functional workflows and design scalable processes, tools, and operating mechanisms. - Prepare clear, data-informed recommendations and executive-ready materials. - Manage multiple work-streams and facilitate alignment across stakeholders, balancing speed, rigor, and effective change management. We are looking for candidates who have/are: - 3–6 years of experience in business operations, strategy and operations, management consulting, finance, program management, or a related field—ideally in a SaaS or technology environment. - Strong analytical and problem-solving skills, with the ability to translate data into insights, recommendations, and decisions. - Excellent written and verbal communication skills, including the ability to create executive-ready narratives and materials. - Demonstrated ability to lead cross-functional initiatives from problem definition through implementation and measurable outcomes. - Strong project and program management skills, including prioritization, stakeholder management, and attention to detail. - Familiarity with business intelligence, data, and collaboration tools; experience with Jira, Confluence, Databricks, spreadsheets, SQL, and/or AI-powered tools is a plus. - Ability to drive clarity in ambiguity, influence without authority, and demonstrate resilience in a dynamic environment. - Curious, adaptable, and motivated to learn quickly, challenge assumptions, and make the company and team better. Nice to have experience: - Business Operations or Strategy & Operations experience in a high-growth SaaS or technology company. - Supporting annual or quarterly planning, operating cadences, business reviews, resource allocation, or strategic planning processes. - Establishing KPIs, building performance dashboards, and using data to identify trends, risks, and opportunities. - Supporting pricing and packaging, go-to-market or commercialization initiatives, product launches, or broader change-management efforts. - Applying agile, lean, or other process-improvement methodologies to scale how teams work. - Interest in and general knowledge of blockchain and cryptocurrency, including key players and market dynamics. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Ensuring Authenticity for Billions of Daily Rewards Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence. The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users. YOUR MISSION & WHO WE ARE LOOKING FOR: - AdTech Domain & Anti-Fraud Core Requirement You bring a solid foundation in the AdTech ecosystem (publishers, advertisers, SDK attribution, monetization) and direct exposure to cheating in mobile games. Joining our Anti-Fraud Operations unit, you will act as the primary technical PoC for Support, Sales, and BI teams, owning complex fraud escalations and translating business edge cases into technical fixes. - Investigative Mindset & Root-Cause Analysis You possess eagle-eyed curiosity and an investigative, hacker mindset. When publisher margins drop, external platforms (iOS/Android) shift, or campaigns misbehave, you won't wait for step-by-step instructions—you will connect messy clues, reproduce exploit scenarios, and trace non-obvious fraud patterns to their source. - AI-Empowered Big Data Interrogation You will leverage AI tools alongside Trino SQL, ScyllaDB, and DynamoDB to rapidly query and analyze billions of daily telemetry events. You will direct AI to accelerate complex data analyses, build models, and surface bad actors in real time without getting bogged down in manual query assembly. - Observability, Profiling & Microservice Debugging You will monitor platform health and debug system anomalies using Kibana, Grafana, and Go profiling tools like Pyroscope and pprof. You will trace real-time pipeline bottlenecks and API glitches across Kafka, SQS, and Go microservices to catch bugs or platform misconfigurations. - Cross-Functional Fraud Mitigation & Pragmatic Engineering You bring a functional software development background in backend engineering (preferably Go) alongside experience with AWS cloud infrastructure, allowing you to comfortably navigate backend code logic. Collaborating with Backend, Mobile, and Data Science teams, you will use AI to draft clean code fixes, propose new detection rules, and take full responsibility for deploying verified mitigations that protect publisher margins. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: London Workplace: Remote Recruiter, Sales and GTM - (Fixed Term Contract) The Talent Acquisition team at Chainalysis is responsible for scaling the most important ingredient to our success – people. Our mission is to build and execute a talent acquisition strategy that is inclusive, rigorous, and repeatable around the world. We’re looking for a Recruiter (Fixed Term Contract) to support hiring across our EMEA and APAC go-to-market teams during an exciting period of growth. In this role, you’ll partner directly with business leaders across enterprise and public sector teams to attract and hire exceptional talent who are helping build trust in the blockchain ecosystem. This is an opportunity to join a mission-driven company operating at the intersection of cryptocurrency, technology, and financial crime investigations, while working closely with a collaborative global Talent Acquisition team. Contract Details - Fixed term contract (6 mths) - Hybrid working – 1 day per week in our London office - Immediate impact supporting high-priority GTM hiring across EMEA & APAC In this role, you’ll: - Own full-cycle recruiting for go-to-market roles across EMEA, including enterprise sales, account management, and customer-facing roles - Build and execute proactive sourcing strategies to engage top talent across SaaS, fintech, and emerging crypto markets - Partner closely with hiring managers and senior leaders to define hiring strategies and identify the right profiles for their teams - Manage candidates through the full interview process, delivering a high-touch, transparent candidate experience - Provide market insight and hiring guidance to stakeholders, acting as a trusted recruiting partner - Maintain strong pipelines of diverse talent across multiple geographies - Collaborate with the global Talent Acquisition team to share best practices and improve recruiting processes We’re looking for candidates who have: - A track record of successfully recruiting sales and go-to-market talent, particularly quota-carrying roles - Experience recruiting within SaaS, fintech, cybersecurity, or other high-growth technology environments - A strong interest in cryptocurrency, blockchain, or the digital assets ecosystem - Experience working closely with senior stakeholders in fast-paced environments - Excellent sourcing and talent mapping skills, with the ability to generate strong pipelines independently - A structured and organised approach to managing multiple searches simultaneously - A collaborative mindset and a strong sense of ownership over hiring outcomes Nice to have experience: - Experience recruiting across EMEA markets - Previous exposure to crypto, blockchain, or Web3 companies - Experience hiring for professional services or customer-facing technical roles - Experience working in high-growth or pre-IPO environments - Familiarity with Ashby ATS and sourcing tools AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an General QA engineer! Requirements Education & Experience Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field. 3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment. Experience with quantitative systems, HFT, trading platforms, or financial applications is highly preferred. Core Technical Skills Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes. Experience testing REST APIs and WebSocket-based services. Proficiency in SQL for data validation, troubleshooting, and debugging. Experience with API testing tools such as Postman. Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana. Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring. Experience working with Docker. Proficiency in scripting or programming languages such as Python or Java. Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas. Familiarity with version control systems and CI/CD workflows. Experience with automated testing, continuous integration, and deployment processes. Trading & Quantitative Systems Knowledge Understanding of market microstructure and trading products, including spot, futures, and swaps. Familiarity with low-latency and high-frequency trading systems. Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading. Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts. Analytical & Problem-Solving Skills Strong analytical and problem-solving skills. Ability to independently investigate and solve complex technical issues. Strong focus on quality, reliability, and system performance. Experience working with complex distributed systems is an advantage. Mindset & Soft Skills Strong interest in technology, quantitative finance, and continuous learning. Team-oriented mindset with strong communication and collaboration skills. High level of ownership, reliability, and attention to detail. Predictable availability to support stable operation of production trading systems when required. Responsibilities As a QA Engineer, you will be part of a high-performance team responsible for developing and maintaining low-latency infrastructure, HFT and quantitative systems, and real-time risk management tools. You will work closely with developers, analysts, researchers, and system engineers to ensure system reliability, scalability, performance, and quality. Key Responsibilities: Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools. Build and maintain automated test suites for real-time quantitative systems and APIs. Ensure adequate test coverage for low-latency, high-availability, and scalable systems. Collaborate with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical objectives. Investigate, reproduce, and debug issues in complex distributed systems. Contribute to performance testing, latency benchmarking, and system monitoring. Support CI/CD pipelines through automated testing strategies. Maintain high standards of test documentation and test coverage. Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a DevOps Engineer with Big Data Skills! Requirements We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must. IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them. Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators). Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider. Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems. Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling. Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control. Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime. SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation. Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management. Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines. Extra Credit / Big Pluses Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design. Hands-on experience with dbt and analytics engineering practices. Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena. FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale. Spark performance tuning and job optimization. Change data capture (CDC) with Debezium or similar tools. Data quality tooling (Great Expectations, Soda) integrated into CI/CD. Golang or Rust tooling experience. Knowledge of data governance and compliance (GDPR, data retention, PII handling). Understanding of business processes in the FinTech/Banking/Crypto sector. Responsibilities Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow. Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback. Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery. Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies. Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work. Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control. Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures. Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data. BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools. Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production. Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions. Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: EMEA; Hungary; Portugal; Spain; Poland Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be currently based within the EMEA region. Ever built an automation that saved hours of manual work, only to discover the real problem was the process itself? That's exactly the kind of challenge you'll tackle at Oyster. We help companies employ people across dozens of countries. Behind every successful payroll cycle are hundreds of details that need to be right: benefits, expenses, time off, timesheets, salary changes, and country-specific requirements. The challenge? Not all that information arrives neatly packaged. Some comes through payroll platforms and service systems. Other details are buried in emails, contracts, receipts, attachments, or requests that need a human to make sense of them. Your job is to turn that complexity into reliable, automated workflows. You'll identify what's slowing teams down, question whether certain steps are needed at all, and build solutions that turn messy information into accurate, validated, payroll-ready data. This is a hands-on role where you'll take ownership of defined automation projects, from understanding the problem and building a solution to launching it, monitoring performance, and making improvements. You'll work with tools like n8n, Alteryx, SQL, APIs, and AI, but you won't be expected to use AI for everything. Sometimes the smartest solution is a simple rule, a better process, or preventing an issue before it happens. And because your work directly affects people's pay, getting things right matters just as much as making them faster. The goal? Less repetitive work, fewer avoidable issues, and smoother, more predictable payroll cycles across countries. HERE'S WHAT YOU'LL BE WORKING ON: - Understand what really happens behind the scenes. Map payroll processes from start to finish, including how information moves between systems, where validation and calculations happen, what needs reconciling or reporting, and how deadlines, country-specific rules, and exceptions affect the process. - Find the work worth automating. Identify repetitive tasks, manual checks, and recurring problems. Use data to assess their impact on customers and Team Members, how often they happen, the risks involved, implementation effort, and whether a solution can work across countries. - Fix the process, not just the task. Question unnecessary steps and look for ways to prevent missing information, avoidable requests, and errors before they reach payroll. - Turn expert knowledge into reliable rules. Work with payroll and operations specialists to translate complex policies and requirements into clear, documented, version-controlled logic, including effective dates and required data. - Put AI to practical use. Use large language models (LLMs) to understand requests, extract information from documents and emails, and direct cases to the right place. Build validation checks so AI-generated outputs are verified before they affect payroll. - Build automations that actually run. Create, connect, and maintain workflows using n8n, Alteryx, and LLM-based tools, integrating service platforms, payroll systems, databases, APIs, and internal tools. - Know when not to automate with AI. Choose between rule-based logic, workflow automation, AI, and human review depending on the task. Keep predictable legal and policy requirements in transparent, auditable rules, and document your decisions. - Build reliability into every workflow. Include audit trails, error handling, alerts, exception queues, and appropriate approval controls. Make sure records are never silently changed, dropped, or excluded. - Test before it matters. Build prototypes quickly, then test them against real payroll scenarios, unusual cases, and exceptions. Use shadow testing and parallel runs before introducing changes that affect live payroll. - Make payroll operations more proactive. Automate timely information sharing, payroll-input checks, the identification of exceptions that affect pay, and reconciliation between payroll and invoices. - Own what happens after launch. Track performance, measure whether automations deliver the expected improvements, troubleshoot issues, and improve or retire solutions that aren't working. - Work with the teams building the bigger picture. Partner with Product, Engineering, and Data when a problem needs a lasting platform-level solution. Turn operational insights into clear requirements and working examples they can build on. - Handle sensitive information responsibly. Apply privacy, security, and responsible-AI standards, especially when working with health, leave, or other sensitive payroll information. Make sure uncertain or compliance-sensitive cases reach the right people for review. You'll likely enjoy this role if you like getting into the details of how things work, spotting opportunities others miss, and building solutions yourself. HERE'S THE EXPERIENCE WE'RE LOOKING FOR: - 3+ years of relevant experience in operations automation, process improvement, business or process analysis, payroll operations, internal tooling, or a similar field. - You've built automations yourself. You've taken workflows into production using tools such as n8n, Alteryx, Make, Zapier, Power Automate, or similar, and have experience keeping them running. We're looking for someone who builds, not just someone who designs or documents solutions. - You've used LLMs to solve practical problems. You know how to turn unstructured text or documents into usable data and can recognise when a simpler, rule-based solution is the better choice. - You're comfortable connecting systems. You've worked with APIs, webhooks, and integrations to get different tools and data sources working together. - You know your way around SQL and data. You can investigate, combine, validate, and analyse information from multiple sources, even when the underlying data is complex. - You can bring structure to messy processes. You're able to turn inconsistent inputs, unusual cases, and complicated requirements into clear rules and data requirements. - You take accuracy seriously. You understand the importance of checks, controls, and investigating discrepancies, particularly when errors could affect someone's pay. - You can explain technical ideas clearly. You're comfortable working with non-technical colleagues, asking the right questions, and constructively challenging requests when automation isn't the best answer. - You take ownership beyond the build. You can move from identifying a problem through implementation, testing, launch, monitoring, and ongoing maintenance. YOU DON'T NEED TO TICK EVERY BOX BELOW, BUT ANY OF THESE WOULD HELP YOU GET UP TO SPEED: - Experience with multi-country payroll, Employer of Record (EOR) services, finance operations, or HR operations. - Understanding of payroll concepts such as gross-to-net calculations, payroll cut-offs, statutory deductions, taxable benefits, expense taxability, and reconciliation. - Experience building tools that validate or reconcile payroll or financial data. - Familiarity with Zendesk or other customer service platforms and their automation capabilities. - Hands-on experience with n8n or Alteryx specifically, although comparable automation tools are equally relevant for the core requirements. - Experience with prompt design, AI agents, or retrieval-augmented generation (RAG) workflows. - JavaScript or Python skills for data transformations. - Experience measuring operational improvements through metrics such as first-time accuracy, processing time, service-level performance, or error rates. THIS MIGHT NOT BE RIGHT FOR YOU IF... - You'd rather design automation strategies or workflows than build, launch, and maintain them yourself. - You prefer using AI for every problem, even when a straightforward, auditable rule would be more reliable. - You measure success mainly by speed or the number of automated tasks, rather than accuracy, proper approvals, and resolving discrepancies. - You don't enjoy digging into complicated processes, inconsistent information, or country-specific exceptions. - You're looking for full ownership of company-wide automation strategy. Here, you'll own clearly defined projects and work closely with operational specialists and engineering teams on broader changes. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation Studios is the game development division of Sony PlayStation and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo. We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games. This role offers a flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office. We attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial. Role Overview: As a Lead Data Engineer, you’ll work in our cross-disciplinary Data Platform team to ingest and process high-volume data.  You’ll work closely with our Game Analytics analysts and analytics engineers, who use this data to gain valuable insights both during game development and post-launch.  As a lead, you’ll scale our platform and help us define its technical direction, expand its reach, and help define and build the future of analytics for PlayStation games. What you’ll be doing: Own parts of our pipeline, and drive improvements to achieve our technical and business goals. Build supporting services for our pipeline, for example working on integrations with in-game maps and video tooling. Integrate our data collection platform and our BI tools to enable studio self-service. Work closely with the Devops team, our analytics engineers, and stakeholders across the studio business group. Focus on improving data quality, lineage and observability. Support our existing tooling, improving quality and documentation. Be a technical expert and share than knowledge with your colleagues. What we’re looking for: You have experience building and owning Data Pipelines for high-throughput streaming and batch data. You are adept at writing code in Go or write Python with a willingness to learn Go. You are experienced in building robust, scalable, and resilient services. You can demonstrate measurable impact that you have made in your current and previous roles. You enjoy solving data problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services.  We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including use of Claude Code, Codex or other harnesses. Experience with near real-time data processing, querying and visualisation. Experience with Omni Analytics, or a similar BI tool (Looker, Tableau etc). GitHub and GitHub Actions experience. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.