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Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote, USA About the role Chime is building a world-class Member Services organization, and the quality of that experience starts long before a member ever reaches an agent. It starts with how well that agent was trained. We're creating this role to raise the bar on two things at once: how consistently training gets delivered across our partner network, and how accountable our BPO partners are for delivering it well. As our Sr. Training Lead, you'll own training governance for Operations and Member Experience, spend real time in the classroom at our vendor sites training new hire agents yourself, and hold our partners' training teams to a higher standard than they've been held to before. This is a new role on our Learning, Training, and Content Operations team. It's remote, with approximately 30% domestic and international travel to our BPO partner sites. In this role, you can expect to Own training execution across our lines of business, ensuring BPO trainers are facilitating our programs and content as expected, that agents are receiving the support they need during new hire training, that agents are completing training on time, and provide feedback to the Learning team about opportunities. Guide a group of BPO master trainer contractors to drive training excellence with BPO training teams. Travel to our partner sites roughly 30-40% of the time and train in the room, facilitating new hire classes, delivering Train-the-Trainer ahead of site launches and major releases, and co-facilitating alongside BPO trainers so you see delivery quality firsthand instead of reading about it. Own trainer effectiveness at our BPOs end to end, including trainer certification and recertification, training lead calibration, a real observation and coaching cadence, and the decision about who is cleared to teach a Chime class. Hold our BPO partners accountable for training delivery the way a vendor manager would: build the scorecard, run the governance cadence with partner training leadership, bring the data to business reviews, and drive corrective action plans when a site misses. Measure what matters, using graduation rates (overall and on-time), nesting performance, speed to proficiency, trainer certification rates, and early-tenure quality and performance to find where delivery is breaking down and fix it. Partner closely with Learning, Content, Quality, Workforce Management, Partner Operations, and LOB Operations so that launches land on time and agents are ready on day one. Diagnose the gaps in how we train today and partner to rebuild the standard, bringing a point of view on what good looks like rather than waiting for it to be defined for you. To thrive in this role, you have 7+ years in training, learning, or talent development within a contact center, BPO, or other high-volume service environment, including hands-on facilitation of new hire classes for frontline agents. You are still comfortable in front of a room. Proven experience managing outsourced or BPO partners and holding them accountable for outcomes, including building performance metrics, governance frameworks, scorecards, and corrective action mechanisms. You've had the hard conversation with a vendor and kept the relationship. Experience building training governance from the ground up: certification and train-the-trainer programs, facilitation standards, observation and coaching models, and the documentation that makes them hold up over time and under audit. Strong coaching skills with other trainers, and the judgment to tell the difference between a content problem, a facilitation problem, and an operations problem. Comfort with data, with the ability to evaluate program effectiveness, identify trends across sites and vendors, and translate what you find into business requirements and decisions. The ability to influence without authority across internal stakeholders and external partners at every level, from a trainer on the floor to a partner's site leadership. Willingness to travel domestically and internationally approximately 30-40% of the time. Experience in financial services, fintech, or another regulated environment is a plus. #LI-Remote #LI-LB1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $130,000 — $180,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As AI agents redefine software development, Docker is at the center of that shift, providing the local and cloud sandboxed environments that make interactive and autonomous agentic workflows trustworthy by default. At the heart of our trust model is the fact that user credentials and other sensitive secrets are injected at the sandbox layer and never exposed to an agent. An agent can never leak secrets it never sees. The Secrets team builds the software that makes that possible, from easy-to-use SDKs to secure cloud services to high-performance network proxies. We operate at the intersection of the developer experience, enterprise governance, and security – delivering core security features that make Docker sandboxes the best way to run agents and other workloads safely. As a Staff Software Engineer on the Secrets team, you’ll design and build core security systems that power Docker’s agentic platform and AI governance products. Your work will focus on creating scalable, reliable, and secure software that enables developers to safely run agentic workloads while allowing administrators to confidently manage their organization’s security posture. The successful candidate is a technical, product-minded engineer with deep experience building secure software and scale-out cloud services and a track record of shipping critical infrastructure. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. If you thrive on solving security and usability challenges, are enthusiastic about agentic development but conscious of the risks it entails, and want to help shape the future of Docker’s platform, we’d love to hear from you. Please note: this role is currently prioritizing candidates currently located in the Western time zone (US or Canada). _______________________________________________________________________ RESPONSIBILITIES - Design, develop, and lead improvements to the secrets management and credential injection systems. - Investigate and resolve security, correctness, performance, and stability issues across cloud, macOS, Windows, and Linux. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. PREFERRED - Strong proficiency in Go, Rust, and/or Java - Experience with cryptographic key management systems and techniques (key wrapping, HSMs, cloud KMSes, etc.) - Familiarity with best practices for protecting credentials and secret material at-rest and in transit - Understanding of networking, TLS, HTTP, and the like. - Understanding of one or more OS-specific credential management capabilities. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Technical Delivery Lead, Emerging Role: Technical Delivery Lead, Emerging Location: India Experience Level: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery Work Model: Full-time; India-based, working with distributed teams across the United States, India, and Latin America Reports To: Head of AI Delivery Why Join Turing Intelligence? Turing Intelligence builds and deploys production AI systems for enterprise clients. Our delivery teams work directly in client environments, translating high-value business problems into reliable systems that can operate at enterprise scale. The Emerging portfolio spans consumer goods, supply chain, real estate, manufacturing, media, and other complex operating environments. This role ensures that multiple concurrent engagements reach production on time, meet their commercial commitments, and create the confidence required to earn follow-on work. This is a high-ownership role for a technical delivery leader who can move between architecture, staffing, delivery health, and commercial decisions. Engagement managers own the client relationship; you will own how the work is engineered, staffed, reviewed, and recovered when delivery moves off plan. As the Technical Delivery Lead, Emerging, You Will Own Portfolio Delivery Health Establish a clear operating view across every active engagement, including delivery status, burn against plan, margin, staffing, technical risks, and client commitments. Identify issues early, intervene directly, and ensure recovery plans have accountable owners and measurable outcomes. Assure Architecture and Production Readiness Set and enforce the technical review bar for production AI systems. Review architecture across retrieval, orchestration, evaluation, guardrails, observability, scalability, and security, and ensure every proposed SOW receives appropriate technical review before signature. Lead Distributed Forward-Deployed Teams Build staffing plans for each active SOW, allocate engineers across competing priorities, reduce avoidable bench time through redeployment, and hire and calibrate engineers against a consistently high bar. Lead teams distributed across the United States, India, and Latin America. Shape Scope, Estimation, and Commercial Commitments Partner with pre-sales and engagement leaders on scoping, estimation, delivery plans, and change control. Challenge assumptions before commitments are made, protect delivery margin, and ensure client expectations match the work that can be staffed and delivered. Turn Delivery into Platform Leverage Work with the Chief AI Architect and platform leaders to apply shared architecture and evaluation standards, identify reusable components, and turn successful engagement work into capabilities that improve future delivery. How Success Will Be Measured First 90 Days Create a delivery-health baseline for every Emerging account, including status, burn against plan, margin, and material risks. Put an FDE staffing plan in place for every active SOW and establish a technical review before every new SOW is signed. First Year Maintain Emerging delivery gross margin at or above 40%, prevent avoidable client escalations from reaching the GM without warning, reduce bench time through active redeployment, and contribute at least two reusable components to the Enterprise AI platform. The Anti-Sell Portfolio-level accountability: This is not a single-project delivery role. You will oversee several engagements with different clients, technical risks, staffing constraints, and commercial commitments at the same time. Hands-on technical leadership: This is not a PMO or governance-only position. You must be able to inspect architecture, challenge technical decisions, and guide teams through production issues. Candidates without recent hands-on engineering judgment are unlikely to be successful. Commercial accountability: Delivery quality and margin are inseparable in this role. You will be expected to challenge weak estimates, manage change, redeploy capacity, and make difficult tradeoffs when client demand exceeds the funded scope. Client-facing pressure: You will step into troubled engagements, surface uncomfortable facts early, and work with engagement leaders to reset plans without damaging client trust. Distributed execution: The portfolio relies on teams across multiple regions and time zones. You must be comfortable making staffing and delivery decisions across the United States, India, and Latin America. Our Technical Delivery Leaders Typically Have Enterprise delivery leadership: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery. Portfolio and margin ownership: A track record of owning delivery outcomes and commercial performance across a portfolio of client accounts—not only a single project. Recent production AI experience: Direct responsibility for shipping GenAI or machine-learning systems to production within the last two years. Technical depth: Strong working knowledge of LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations. Delivery and commercial discipline: Experience with estimation, technical SOW review, staffing plans, change control, delivery recovery, and managing to a P&L. Leadership across seams: The ability to align engagement managers, pre-sales, architects, and distributed engineering teams while maintaining clear accountability for technical delivery. Top-Tier Candidates Will Have Experience leading forward-deployed or client-embedded engineering teams in an AI, data, or technology-services organization. Experience in consumer goods, supply chain, real estate, manufacturing, media, or another operationally complex enterprise environment. A record of turning client-specific delivery work into reusable platform components, delivery accelerators, or technical standards. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: ES - Barcelona, Spain Scopely is looking for a Senior Compensation Business Partner to join our Compensation team in Barcelona . At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. This role is an individual contributor and is required in the BCN hub 5 days a week. They may need to travel to the US, however, not more than once per year at most. The Senior Compensation Business Partner to serve as a subject-matter expert and strategic partner across the company’s broad-based compensation programs. This role will help ensure compensation is competitive, equitable, performance-driven, clearly communicated, and aligned with business priorities. What you will do : Partner with Recruiting, People Business Partners, and business leaders on compensation decisions by applying strong compensation expertise, business acumen, and knowledge of market practices. Develop and implement compensation strategies that support the attraction and retention of top talent while reflecting market conditions, internal equity, pay-for-performance principles, and company priorities. Advise on compensation matters, including new-hire offers, promotions, transfers, international employees and contractors, performance calibration, and annual compensation cycles. Support the administration and ongoing improvement of compensation programs, processes, and tools. Provide leaders with data-driven insights and recommendations to support sound compensation decisions. Monitor compensation programs and conduct ongoing analyses to identify opportunities for improvement and ensure alignment with strategic priorities. Maintain and evolve job architecture, job frameworks, and leveling practices to support hiring, career growth, job evaluation, and consistent compensation decisions. Develop compensation models, conduct statistical analyses, and create reports and dashboards that monitor data integrity and program effectiveness. Audit Workday HCM and Shareworks to ensure compensation changes are accurately processed and reflected; investigate and resolve discrepancies. What you will need: A bachelor’s degree or equivalent experience, with at least five years of corporate and/or consulting compensation experience, covering both compensation analysis and program design. Experience in an agile, fast-paced company or industry is preferred. Demonstrated progression and leadership in compensation or a related field. Strong knowledge of compensation principles, structures, models, and vehicles, including equity programs such as RSUs and stock options. Strong analytical and quantitative skills, including experience developing models and interpreting complex data. Experience with compensation design, talent analytics, data visualization, job architecture, and job evaluation. Familiarity with compensation benchmarking surveys, market-pricing methodologies, and industry trends. Knowledge of relevant compensation-related legal and regulatory requirements. Experience presenting compensation insights and recommendations to senior executives and business partners. Exceptional attention to detail, with the ability to execute quickly while maintaining a strategic perspective. Experience with Workday, including HCM and compensation modules. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS - Quality Assurance Technician - Assembly, Integration & Final Inspection - Location: Valencia, Spain - Department: Product & Mission Assurance - Reports to: Reliability Engineer Manager - Employment type: Permanent - Workplace model: Production floor/Cleanroom - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Quality Assurance Technician you are the independent set of eyes between our production line and orbit. You will perform in-process and final inspections of electronic and mechanical assemblies, verify that every integration step is carried out to procedure, and carry out the final inspection of completed satellites before they leave for environmental testing and launch. You will witness mandatory inspection points (MIPs), confirm workmanship against IPC and ECSS requirements, check torque, bonding, harness routing, connector mating and cleanliness, and make sure the build record is complete and audit-ready. Embedded within the production and AIT (Assembly, Integration and Test) environment, you will work in cleanrooms with ESD-sensitive flight hardware. Working closely with Production, AIT Engineering, Reliability Engineering, Mission Assurance and Supply Chain, you will catch defects before they move downstream, prevent quality escapes, and help every satellite we ship meet space-grade standards. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Perform in-process inspections of electronic assemblies (PCBAs, harnesses, cable assemblies, units, etc.) - Perform in-process and final inspections of mechanical and composite assemblies against drawings, inspection plans and work instructions - Support preparation of acceptance data packages and similar traceability tasks as assigned - Witness and sign off inspection points and key integration steps at subsystem and satellite level, - Carry out final inspection of completed satellites before handover to environmental testing, shipment and launch campaigns, confirming configuration, workmanship, cleanliness, and more - Verify build records, travellers and as-built configuration in the MES and ERP systems - Raise non-conformances (NCs), quarantine affected hardware, support root cause analysis (RCA) and Material Review Board (MRB) activities, and follow up on corrective and preventive actions (CAPA) - Provide immediate feedback to production and AIT teams on recurring workmanship issues and process improvement actions - Monitor cleanroom, ESD and FOD (foreign object debris) controls in production and AIT areas, and flag deviations - Ensure inspection tools and measurement equipment are calibrated, maintained and used correctly - Review and provide feedback on inspection plans, work instructions and control plans, and contribute to continuous improvement initiatives WHAT WE'RE LOOKING FOR Must haves: - Conversational level of spoken and written English - Minimum 3 years of experience in quality control or quality assurance roles within aerospace, defense, or high-reliability manufacturing environments, including hands-on inspection of both electronic and mechanical assemblies - Use of inspection tools (e.g., microscopes, calipers, micrometers, gauges, torque tools, multimeters, milliohm meters) - Ability to read and interpret technical drawings assembly drawings, schematics, harness diagrams, Bills of Materials (BOMs) and inspection plans - Knowledge of measurement principles and calibration requirements - Experience working in cleanroom and ESD-controlled environments - Strong attention to detail and the confidence to stop work and raise an issue when something is not right Nice to haves: - Current IPC certifications (CIS or CIT) in IPC-A-610, J-STD-001 or IPC/WHMA-A-620 - Knowledge of ECSS standards, e.g. ECSS-Q-ST-70-08 (manual soldering), ECSS-Q-ST-70-61 (PCB assembly) and ECSS-Q-ST-20 (quality assurance) - Experience with satellite or spacecraft AIT, including mechanical integration, harness integration and launch campaign preparation - Familiarity with AS9100 quality management systems, NC and CAPA processes, and First Article Inspection (AS9102) - Hands-on experience inspecting composite parts and knowledge of composite manufacturing processes - Ability to read GD&T drawings per ISO standards - Proficiency with defect recognition to IPC-A-610 and working knowledge of IPC/WHMA-A-620 for cable and harness assemblies - Experience with ERP and MES systems in production environments APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Onsite Technical Interview/Peer Review, including a Technical Challenge WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us; we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Georgia; Poland On behalf of Behavioral AI Solutions Client #1 , SD Solutions is looking for a talented Senior Data & AI Scientist to take ownership of two of our core behavioral-modeling efforts end to end: a user-conditioned Trader World Model that learns a high-fidelity latent representation of each trader and reproduces their multi-horizon behavioral distributions, and a large-scale sequence forecaster that predicts each user's next-horizon trading activity from their intraday behavior. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. This is a hands-on modeling role. You will own the full lifecycle—data, representation learning, training, large-scale experimentation, and rigorous evaluation—for transformer-based models trained on hundreds of millions of behavioral samples on GPU’s. We are specifically looking for candidates with practical experience training deep sequence and foundation models. This includes designing training pipelines, running large-scale experiments, modeling full behavioral distributions (not just point estimates), and understanding the real challenges of modern transformer training. This is not an AI integration or prompt engineering role. We are looking for engineers and scientists who have built, trained, and evaluated models themselves, and who hold their results to a high evidentiary bar. Responsibilities: Train, fine-tune, and evaluate transformer-based sequence models for behavioral prediction on large-scale trading data. Design feature representations and embedding strategies for structured, event-sequence behavioral signals. Model full multi-horizon behavioral distributions (activity, volume, PnL, exposure, hold time) rather than single point or label predictions. Build and beat a rigorous baseline ladder; design leakage-safe, chronologically split evaluation that earns each claim of improvement. Optimize large-scale GPU training pipelines (throughput, memory, dataloading, checkpoint/resume, cost) on Vertex AI. Collaborate closely with psychologists, bioinformaticians, AI engineers, and researchers to translate theory into production-grade AI systems. Requirements: Experience 6+ years of experience in Data Science, Machine Learning, or AI. Hands-on experience training deep sequence models (Transformers/attention) and/or fine-tuning foundation models. Strong experience with PyTorch and modern deep learning workflows (Lightning a plus). Experience with distributional and representation learning—modeling latent structure and full distributions, not just labels. Experience designing, running, and analyzing large-scale ML experiments. Demonstrated ownership of the complete modeling lifecycle, from data preparation through training, evaluation, and iteration. Technical Skills Expert-level Python. Strong understanding of deep learning, representation learning, and statistical modeling. Experience with high-dimensional and event-sequence / temporal datasets. Ability to design rigorous evaluation methodologies—chronological/held-out splits, leakage control, purge gaps, and honest baseline comparison. Comfort with cloud GPU training and its real-world failure modes (throughput bottlenecks, OOM, dataloader/prefetch, checkpoint/resume, cost control). Advantages: Zero-inflated / heavy-tailed / hurdle modeling and calibration for sparse targets. World-model or model-based / latent-transition (JEPA-style) modeling. Experience with financial, trading, or high-frequency behavioral data. Background in behavioral science, psychology, economics, or cognitive modeling. Experience with distributed GPU training (FSDP, DeepSpeed, Accelerate, DDP, etc.) and optimizing large-scale training workloads. Experience with LoRA, QLoRA, PEFT, RLHF, or other foundation model adaptation techniques. Publications or open-source contributions related to sequence models or foundation models. Who This Role Fits: Someone who genuinely enjoys training large AI models—not just integrating AI APIs. A researcher or engineer who likes experimenting with model architectures, training strategies, and evaluation methodologies. Someone who thinks in terms of representations, distributions, latent structure, and generalization. Someone who holds a high evidentiary bar—prefers a model that provably beats a strong baseline over an impressive-sounding architecture. A hands-on builder who enjoys working at the intersection of research and production. Someone excited to own a hard, open-ended behavioral-modeling problem from the ground up. About the company: We are is an innovative Behavioral AI Solutions company building the next generation of AI systems designed to understand and predict human behavior. NDA, Behavioral AI Solutions, develops proprietary Large Behavioral Models (LBMs) that go beyond traditional language models by predicting human decisions and actions across complex real-world environments. Its technology combines behavioral science, psychology, and advanced machine learning to create sophisticated predictive models. The team works across the full AI development lifecycle, including large-scale data curation, representation learning, model training, fine-tuning, evaluation, and deployment. NDA, Behavioral AI Solutions focuses on building transformer-based foundation models trained on massive behavioral datasets using advanced GPU infrastructure. Its solutions are designed to support high-impact applications across finance, defense, enterprise decision support, and other industries. The company brings together interdisciplinary experts to transform cutting-edge research into scalable, production-ready AI systems. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Kuala Lumpur, Malaysia 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 Team The Financial Crime Quality Assurance (QA) team at OKX is part of the Compliance Assurance function and is responsible for reviewing and rating the quality of AML Transaction Monitoring alert disposition and Financial Crime Investigations performed by the Global Financial Crime Investigations Team. We are a team of risk-focused compliance experts who independently assess investigation quality, promote consistency in decision-making, and ensure compliance with AML/CFT requirements, internal policies, and regulatory expectations. By working closely with Operations, Product, and Compliance teams, we help strengthen financial crime controls and drive continuous improvement across the investigation lifecycle. About the Opportunity This is an exciting opportunity to lead the Financial Crime QA team within the Compliance Assurance function of a regulated crypto business. As QA Team Lead, you will manage a team of QA Analysts who review AML Transaction Monitoring alerts, Name Screening, EDD and other financial crime investigations. You will own the day-to-day delivery and quality of the QA program, set and uphold review standards, and develop your team's expertise. Working closely with Financial Crime Operations, Compliance leadership and Product teams, you will turn QA insights into lasting improvements in investigation quality and the effectiveness of the firm's financial crime controls. What You’ll Be Doing Team Leadership & People Management – Lead, mentor and develop a team of QA Analysts. Set clear objectives, allocate daily workload, manage capacity and productivity, and conduct regular one-to-ones and performance reviews. Support hiring, onboarding and training of new team members, and foster a culture of accountability, integrity and continuous learning. QA Program Ownership – Own the end-to-end delivery of QA reviews across Transaction Monitoring, Name Screening, Sanctions, EDD and other AML investigations. Ensure reviews are completed on time, to a consistent standard, and in line with agreed sampling plans and service levels. Quality Oversight & Second-Level Review – Perform second-level reviews of QA Analyst findings, validate defect ratings and resolve disputes or challenges from Operations. Personally review complex, high-risk or escalated cases, and act as the final QA decision-maker on borderline outcomes. QA Framework & Methodology – Design, maintain and enhance the QA framework, including scorecards, error taxonomies, risk-based sampling methodologies, procedures and quality standards. Ensure the framework reflects AML/CFT regulatory requirements, internal policies, and emerging crypto-specific typologies. Calibration & Consistency – Lead regular calibration sessions within the QA team and with Financial Crime Operations to align on policy interpretation, grey areas and scoring methodology, and reduce subjectivity in quality evaluations. Management Information & Reporting – Produce and present QA MI, dashboards and trend analysis to Financial Crime and Compliance leadership. Identify systemic issues, root causes and emerging risks, and translate findings into clear, actionable recommendations for management and governance forums. Stakeholder Management – Act as the primary QA point of contact for Financial Crime Operations leadership, Team Leads, Product, Policy and other Compliance teams. Drive agreement on corrective actions, escalate material control weaknesses, and support internal and external audits and regulatory examinations as required. Coaching & Quality Improvement – Partner with Operations and Training teams to turn QA findings into targeted coaching, training content and procedural updates. Act as a Subject Matter Expert on AML investigations, crypto typologies and regulatory expectations. Innovation & AI-Enabled Quality – Drive the adoption and continuous improvement of AI-enabled quality tools such as QA Copilot. Define requirements, lead UAT and process validation, and identify opportunities to increase QA coverage and efficiency through automation. AML Projects & Program Enhancements – Represent QA in AML projects, process changes and program enhancement initiatives, providing input on control design, quality standards and implementation readiness. Ad Hoc Responsibilities – Undertake additional projects and assignments as delegated by the Head of Compliance Assurance or their delegate. What We Look For In You Bachelor's degree in law, finance, business administration or a related field; a relevant compliance certification (e.g. CAMS, ICA) is strongly preferred 10+ years of experience in the financial services industry, with a significant focus on AML/CFT and financial crime compliance Experience in the cryptocurrency or digital asset industry is highly preferred, including familiarity with blockchain analytics tools (e.g. Chainalysis, Elliptic, TRM Labs) and crypto-specific financial crime typologies Proven hands-on experience in AML Transaction Monitoring and Financial Crime Investigations, including alert disposition, case investigation, and SAR/STR decisioning Demonstrated people leadership experience, including managing, coaching and developing teams of analysts or investigators Experience in Quality Assurance and/or Monitoring & Testing of AML controls is highly desirable, including designing scorecards, sampling methodologies and QA frameworks Strong understanding of global AML/CFT regulatory expectations and sanctions requirements Excellent analytical and judgment skills, with the ability to identify root causes and systemic issues and translate them into practical recommendations Strong stakeholder management skills and the confidence to challenge, influence and drive agreement with senior stakeholders Experience producing management information and presenting findings to leadership or governance forums High attention to detail and a commitment to accurate, consistent, high-quality documentation Fluent in English with excellent written and verbal communication skills Perks & Benefits Competitive total compensation package 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! 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: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker shows up at a small number of global programs each year: industry and partner events, AWS re:Invent among them, each run with one theme, one signature demo, an executive meeting program and a pipeline target. Around them, our field marketers run regional programs with their sales teams, and Developer Relations leads developer and community events. As Senior Event Manager, you are first chair on the global programs. You own each one end to end, from the negotiation and the contract through creative concept, planning, production, staffing and on-site delivery to reconciliation and the readout. You scout the newer conferences where Docker's ICP now gathers and test them with Brand and Field Marketing. You are the program manager for the whole events calendar, keeping one calendar and one messaging and positioning document for every event, and you are the events lead on Docker's Sales Kickoff, the internal event where the field meets the year's story first. You report to the Director, Field Marketing and Events, and work alongside the Event Manager, Global Field Marketing Operations, the regional field marketers, Partner Marketing, Brand, Product Marketing, Developer Relations and Sales. Docker brought event management in-house this year, and this role is the center of it. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE Every global program delivers against the targets set for it before the contract: the right people reached and demos delivered; analyst, press, executive meetings and speaking earned; and a pipeline target agreed with Revenue Operations and read at 30 and 90 days. The footprint reads as a buying journey from demo to a first sales conversation, the executive meeting program runs on the standard set by Global Field Marketing Operations and is never overcommitted, and every program ends with a readout the sales leaders who staffed it trust. What the global programs build carries into every region: the theme, the activation kit and the lessons. For a brief period before and during every event, every person on site works for you. You hold a room of senior stakeholders, production partners and volunteers to a run of show with authority and warmth, you are the person everyone is glad to see when the event starts, and you do it with a budget you can account for to the dollar. _______________________________________________________________________ RESPONSIBILITIES - Own the global programs end to end. Negotiate, contract, concept, plan, budget, produce, staff, deliver and reconcile every global program and its regional stops, against a pipeline target and a brand goal agreed with Revenue Operations, Field Marketing and Brand before the contract is signed. - Architect the executive track. For each global program: who speaks, who hosts, which meetings run in the meeting space and how each leader's time is protected, on the executive meeting program standard that Global Field Marketing Operations sets. Work directly with executives and their assistants on schedules, prep and on-site handling. - Run the footprint and the experience. Layout and experience design with Brand and Developer Relations, so the footprint reads as a buying journey from demo to a first sales conversation; graphics and messaging; demos and activations; staffing plans and training; swag strategy and production. - Scout new events. Find and test the newer conferences where Docker's ICP now gathers, with Brand and Field Marketing, and grow the ones that earn it. - Program-manage the calendar. One events calendar across every program and every function, and one messaging and positioning document per event with Product Marketing and Brand, so every team shows up saying the same thing. - Lead the Sales Kickoff as an event. Venue, production, experiential, swag, travel coordination and run of show with the Event Manager, with Sales Enablement owning agenda and content, so the field experiences the first-half theme the way customers will. - Manage production partners. Exhibit houses, production agencies, venues, hotels, freight and suppliers: own timelines, deliverables, room blocks and budgets, and escalate early when a partner misses. - Bring operating rigor. Run-of-show documents, punch lists, staffing calendars, budget trackers and post-mortems that make the next program better than the last, and that Global Field Marketing Operations turns into the playbook every region runs. - Shape what comes next. Bring a point of view, grounded in the year's results, on where Docker's events program should go next. _______________________________________________________________________ QUALIFICATIONS - 6+ years owning B2B events end to end, including major industry sponsorships or flagship conferences at significant scale, with the budgets, vendors and executive programs that come with them. - You negotiate. You have taken a sponsorship from first conversation to signed contract and held the organizer to its deliverables. - You think in pipeline: a pipeline target, a meetings program and sales partnership are how you judge a program, not only flawless logistics. - Executive presence. You have presented event strategy to a C-level audience, handled executives on site with their assistants, and know how to protect a CEO's time without saying no to the sales team. - Program management at scale: dozens of workstreams, hundreds of details and several stakeholder groups, all moving at once, and nothing dropped. You are the detail magician and the relationship manager in one person. - Creative concepting: opinions about what makes a footprint or an experience memorable, and the skill to deliver it with brand and production partners. - Vendor and budget command. You hold partners accountable and can account for every dollar, from purchase order to reconciliation. - Calm, decisive on-site leadership. You thrive in the compressed chaos of event week and people want to work with you again afterwards. - Experience with developer or technical audiences preferred. Willingness to travel about 35%, concentrated around event season, including international travel. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse in Docker's ICP, product and the current events portfolio, budget, vendors and calendar; meet the Director, the Global Field Marketing Operations lead, the regional field marketers, Brand, Product Marketing, Developer Relations, Sales Enablement and the BDR team. - Take ownership of the first-half global program contracts and the Sales Kickoff plan, including the executive track and the staffing plan. First 90 Days - Deliver the Sales Kickoff as an event: venue, production, experiential, swag, travel coordination and run of show, with Sales Enablement. - Deliver the first global program stop of the year end to end, on schedule and on budget, with a 30-day readout. - Stand up the events calendar and the messaging and positioning document as the one source every function uses, and the global program operating kit with Global Field Marketing Operations: run of show, staffing plan, executive meeting template, budget tracker and post-mortem format. One Year Outlook - Every global program carries its targets before the contract and reports against them at 30 and 90 days. - Docker's global programs are known inside the company as the best-run programs on the calendar, and the executive meeting program is a repeatable asset at every stop. - The global program kit carries into every regional program, and production partners work to standards you set. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Compensation & Equity United States: $102.2K – $146K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

OpenAI is looking for a Data Scientist Preparedness to evaluate and improve AI-harm mitigation and monitoring systems.

Location: mostly in NY but travel to NJ, CT, PA ( areas close to NYC) is also required Medical Assistant- Med Tech, EKG technician, PCT Location: mostly in NY but travel to NJ, CT, PA ( areas close to NYC) is also required Schedule: Full-Time Salary: $19.00 an hour About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a dedicated and detail-oriented Vital Monitoring Specialist to oversee all aspects of vital signs monitoring in a nursing home setting. This role ensures the consistent and accurate monitoring of residents’ health metrics, facilitates timely medical interventions, and contributes to a safe and high-quality care environment. Responsibilities Vital Signs Monitoring: Regularly monitor residents’ vital signs, including blood pressure, heart rate, temperature, oxygen saturation, and respiratory rate Ensure proper use, calibration, and maintenance of monitoring equipment Data Recording and Analysis: Accurately record and update vital signs in residents’ medical records Analyze trends in vital data to detect potential health issues Generate reports for clinical teams to support proactive decision-making Facilitate Interventions: Promptly notify nursing staff and physicians of abnormal readings or health concerns Assist in emergency interventions, including alerting relevant medical personnel and preparing necessary equipment Coordinate with clinical staff to adjust care plans based on monitored data When needed, facilitate a Telehealth visit with a provider Resident and Staff Communication: Communicate vital signs results and health updates to residents and families as needed Provide guidance and training to staff on proper monitoring techniques and equipment usage Compliance and Quality Assurance: Adhere to regulatory guidelines and facility protocols related to resident monitoring Participate in quality improvement initiatives to enhance monitoring and intervention processes Requirements Active Medical Assistant Certification Prior experience in vital signs monitoring or a similar healthcare role, preferably in a long-term care or nursing home setting Proficiency in using monitoring equipment and electronic health record (EHR) systems Strong attention to detail and ability to identify irregularities Excellent communication and teamwork skills Ability to remain calm under pressure and act swiftly in emergencies. Prolonged standing/walking. Bending/stooping. Carrying medical equipment. Lifting up to 20 lbs. Lifting/moving patients. Benefits Competitive salary: $19.00 an hour Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As AI agents redefine software development, Docker is at the center of that shift, providing the local and cloud sandboxed environments that make interactive and autonomous agentic workflows trustworthy by default. At the heart of our trust model is the fact that user credentials and other sensitive secrets are injected at the sandbox layer and never exposed to an agent. An agent can never leak secrets it never sees. The Secrets team builds the software that makes that possible, from easy-to-use SDKs to secure cloud services. We operate at the intersection of the developer experience, enterprise governance, and security—delivering core security features that make Docker sandboxes the best way to run agents and other workloads safely. In this role, you would manage this team, owning its technical direction and delivery and being accountable for its operational excellence. The successful candidate is a hands-on engineer at heart. They have built secure software and scale-out cloud services, and they use that experience to guide their team to sound architectural decisions and a high security bar. They think naturally about isolation and trust boundaries and understand the tradeoffs of running untrusted or semi-trusted workloads. They are skilled at growing and retaining senior individual contributors and thrive in a remote-first environment. They stay close to customers, because the gap between a strong security model and something people actually adopt is where the real work happens. _______________________________________________________________________ RESPONSIBILITIES - Lead a team of engineers building Docker's shared Secrets platform and own its technical direction. - Partner closely with product management to align the team with business and product goals. - Lead through influence across the teams that adopt the platform, making it their default way to handle credentials. - Ensure predictable delivery and operational excellence, and own the team's on-call rotation and incident response. - Hold a high bar for security and engineering excellence, partnering with Security on design reviews and threat models. - Hire and retain top engineering talent. - Facilitate communication across teams and provide status reporting for critical projects. _______________________________________________________________________ QUALIFICATIONS - 5+ years experience managing high-performing engineering teams. - 5+ years of hands-on experience building secure software and scale-out cloud services. - Strong grounding in security fundamentals: authentication and authorization, secret and key management, and threat modeling. - Experience reasoning about isolation and security boundaries for untrusted or semi-trusted workloads. - Experience building platforms, SDKs, or shared services that other teams adopt, including enterprise requirements like audit and policy. - Strong verbal and written communication skills. - Comfortable with a high degree of autonomy and the ability to work remotely across time zones. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Understand the group and team missions. - Meet the team along with peers across the group and the company. - Build relationships with the teams that depend on the Secrets platform. - Start line managing reports and building a rapport. - Gain a high-level understanding of the Secrets platform and how it fits into the sandbox products. - Participate in status reporting and reliability reviews. FIRST 90 DAYS - Work with the team to align on goals and measures of success. - Start career discussions with reports. - Work with the team to improve processes and remove blockers. - Contribute technical input to roadmap and architectural decisions. - Oversee the delivery of a change or feature. - Start hiring for the team. ONE YEAR OUTLOOK (FIRST YEAR) - Drive the long-term technical direction of the platform. - Have had a sustained, positive impact on the growth and performance of your reports. - Have the platform adopted by multiple Docker products. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.   Canada: CA$276,050– CA$441,650 base United States: $197,650 – $318,450 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

We are hiring expert mechanical design and CAD automation engineers to turn real, paid CAD tasks from their own work into expert-level Terminal-Bench challenges.

Location: Germany; Bosnia; Norway; Estonia; Slovenia; Italy; Netherlands; Hungary; Portugal; France; Poland; Serbia; Austria; Finland; Montenegro; Slovakia; Ireland; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece; Ukraine; Sweden Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. We're looking for seasoned Product Designers who thrive in ambiguity and challenging problem spaces. n8n is a powerful, flexible technical tool, which means the problems you tackle as a designer are complex. Your design decisions must account for diverse user workflows, technical constraints, and how changes impact the entire platform. To thrive here, you will need to love talking to users, understanding technology, and reducing complexity and scope. You'll be embedded in a product squad alongside a product manager and around three to five engineers, owning the user experience for your area end to end. Our design team is small but growing, so you'll shape the craft bar and the culture, not inherit them. We're hiring designers across the following teams: - Enterprise (two roles - Governance & Observability, and Licence & Billing): You've worked on technical B2B platforms. You've designed for scale, governance, and collaboration across teams, including permissions, environments, observability, and failure modes included and you're comfortable making deeply complex systems feel coherent and simple. - Adore - Adoption & Retention: You have exceptional product sense and can connect disparate elements into a coherent whole. You'll take something complex, with many moving parts, and make it make sense - shaping what the visual layer of n8n becomes next. Experience with data visualisation is welcome; deep technical expertise isn't required. - n8n Labs: As a Product Designer, you'll own discovery end-to-end, spotting the riskiest assumptions, running the research, and turning findings into decisions without waiting on a brief. You move fast, cut scope without losing what matters, and you're hands-on enough to build and ship your own prototypes, including using AI tools to get there quicker. You've got product and business judgment, not just craft; you can spot an opportunity and make the case for it. Founder or co-founder experience is a helpful signal but not a requirement. Team assignment is confirmed at the offer stage and may be subject to change as the team structure evolves. 🎯 Regardless of the team, your main goal will be to lead end-to-end product design on complex workflows that elevate n8n's user experience, ship measurable outcomes, and raise the quality bar across our platform. To do so, here are your responsibilities: End-to-end product design - Lead the full design process for your team, from discovery to polished delivery, collaborating closely with PMs and engineers. - Consistently ship high-quality, visually cohesive designs that improve the overall UX at every release. - Work effectively on complex features and understand the underlying technology. - Take ownership of complex, multi-faceted problems and drive them to completion with initiative and autonomy. Research, feedback, and UX quality - Own the direction of research for your team, decide when it's needed, choose the right methodology, and take the initiative without waiting to be told. - Champion the user by running interviews, usability tests, and research to inform critical product and business decisions. - Master the feedback loop by gathering, synthesizing, and acting on input while giving actionable critique to elevate teammates' work. - Balance speed and quality in an MVP-driven environment, navigating ambiguity while maintaining a high bar. Systems thinking and platform coherence - Design in systems, integrating solutions into the broader n8n platform and safeguarding the product's big picture. - Account for edge cases, constraints, and interaction details so users never end up in impossible states. - Collaborate across teams and designers to ensure consistency and quality across shared patterns and components. Strategy, impact, and innovation - Shape team strategy by influencing planning, prioritization, and scope with a strong design perspective tied to KPIs. - Explore and adopt AI and automation tools to push the boundaries of design practice and AI-powered workflows. Senior or Staff? We're open at both levels, and we'll calibrate with you during the process. At Senior, you own your squad's design end-to-end and ship work that raises the bar for your area. At Staff, you do that, and your influence reaches beyond your own squad - you shape patterns other designers build on, and you take on the problems that span teams. Both are hands-on: this is not a step away from the craft. REQUIREMENTS Must-haves - 🎨 Product design excellence: You're proficient across product design, UX, UI, and qualitative research, delivering polished, detail-oriented work. - 🧠 Technical mindset: You collaborate effectively with engineers and understand how software is built, including common web technologies. You don't need to write code, but you do need genuine curiosity about what's happening underneath - APIs, webhooks, data structures and how workflows actually execute. - 🧭 Ownership & delivery: You've shipped end-to-end features in smaller teams or startups and can drive complex problems to measurable outcomes. - ⚡ Fast, focused execution: You operate at high speed in an MVP-driven environment, balancing quality and velocity amid ambiguity. - 📈 Outcome orientation: You use research and metrics to inform decisions and consistently deliver solutions that enable team KPIs. - 🤝 Feedback & collaboration: You're open and non-defensive in critique and provide actionable feedback that raises the team's bar. - 🧪 Curiosity for AI: You're enthusiastic about AI and innovation, actively exploring new tools and approaches to advance the craft. - 📅 Experience level: You have 5+ years in product design with demonstrable impact on shipped products. Nice-to-haves - 💻 Front-end fluency: You can prototype using HTML/CSS/JavaScript, with or without AI coding tools, and can collaborate effectively with engineers on the result. - 🧩 AI & automation domain: You've designed AI or automation products; familiarity with n8n is a plus. - 🔁 Process improvement: You proactively refine team rituals and workflows to increase effectiveness. - 📚 Continuous growth: You invest in your craft and are motivated by creating tangible product and company impact. - 🔎 Discovery frameworks: You know methodologies like Continuous Discovery or Shape Up. - 📊 Data-informed design: You're comfortable with metrics, A/B testing, or SQL to guide decisions. - 🚀 Entrepreneurial drive: You've built startups or side projects that show initiative and creative problem-solving. Why join us? At n8n, your work won't disappear into a slide deck. You'll lead high-impact design across core product surfaces, shaping AI-powered workflows, enterprise governance and billing, and how people discover and adopt n8n, from discovery to delivery. You'll join a fast-growing, Europe remote-first company where autonomy, experimentation, and craft matter, partnering closely with PMs and engineers to ship real outcomes to a passionate global community. Sound like a challenge you're excited to take on? Apply now and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Scoring Technician (RPSGT or RRT-SDS), you will play a critical role in ensuring the accuracy and quality of home sleep study interpretations through expert manual review and scoring. Perform manual review and scoring of home sleep studies in accordance with AASM scoring guidelines and company protocols.

Location: Indonesia; Nigeria; Turkey; United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: South Africa, Western Cape, South Africa About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .