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Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior United States Office APPLY NOW REFER A FRIEND Join a mission-driven technology team that’s redefining what’s possible in cardiac care. We’re developing an advanced medical system designed to help physicians diagnose and treat cardiac arrhythmias with precision and confidence. This role offers the opportunity to contribute to an innovative platform at the intersection of real-time software, visualization, and life-saving technology. You’ll work within a collaborative engineering environment where creativity and technical excellence drive meaningful patient impact. This position is based onsite in the Minneapolis, with a hybrid structure (minimum of four days onsite per week) that encourages direct collaboration, mentorship, and cross-functional engagement. What project we have for you The Senior Software Engineer will be a key contributor on the system software team, responsible for designing and implementing complex, high-performance applications that integrate closely with medical hardware and imaging systems. The ideal candidate will have deep technical expertise in Python and C++, a strong understanding of modern software architecture, and a passion for developing reliable, user-focused medical technologies. What you will do Lead the design, development, and optimization of high-performance system software. Develop, test, and debug applications that interface directly with embedded and hardware components. Collaborate with multidisciplinary teams—hardware engineers, system architects, product managers, and QA—to define requirements and deliver solutions that meet clinical and regulatory standards. Drive code quality through peer reviews, automated testing, and continuous integration. Mentor junior engineers and promote engineering excellence through knowledge sharing. Document design decisions, development processes, and testing methodologies to ensure traceability and consistency. Troubleshoot complex software issues and deliver timely resolutions in a regulated environment. Participate in lab evaluations, pre-clinical testing, and system demonstrations for stakeholders and clinicians. Stay current on emerging tools, frameworks, and industry best practices to continuously enhance product performance and maintain technical leadership. What you need for this Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field with 4+ years of relevant experience OR Master’s degree with 2+ years of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware–software integration Experience in implementation Bluetooth stack, maintenance and configuration. Hands-on experience with ROS, Linux-based development, and/or real-time operating systems Experience with CI/CD pipelines, Git, and Agile development methodologies Knowledge of cloud services (AWS or Azure) and scalable software architectures Excellent communication and collaboration skills within cross-functional teams Proven ability to work independently on complex, mission-critical software systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills C++ Python

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: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details Product Management Product Manager Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Client is a flexible benefits platform that enables companies to design personalized and inclusive employee benefits programs while reducing administrative complexity and operational overhead for HR teams. The platform provides employees with greater choice and flexibility in how they use their allocated benefits budgets, creating a more engaging and employee-centric benefits experience. Trusted by leading global organizations such as Stripe, Zoom, Lululemon, and Affirm, the solution supports nearly one million employees and demonstrates strong customer satisfaction metrics, including 75 NPS and 98% CSAT scores. What project we have for you The project focused on enhancing and scaling Client’s benefits management ecosystem, which allows organizations to configure and manage various employee benefit programs through a unified platform. The product suite includes solutions such as Lifestyle Spending Accounts (LSA), Health Spending Accounts (HSA), Health Reimbursement Arrangements (HRA), Flexible Spending Accounts (FSA), and additional customizable benefit offerings. Employees can utilize their benefit funds through multiple channels: purchasing discounted products and services via the internal marketplace (“The Store”), using a dedicated Visa payment card, or submitting reimbursement claims supported by the platform’s member support operations. From a business analysis perspective, the project involved analyzing business processes, improving platform workflows, supporting integrations between benefits products and payment/reimbursement systems, clarifying stakeholder requirements, and contributing to the optimization of user and HR administration experiences across the platform. What you will do Analyze the business, customer, and regulatory context of Pre-Tax benefits products, including HSA, FSA, HRA, and related employee benefit programs. Identify customer needs, pain points, and product opportunities. Own and evolve the product vision and roadmap for assigned Pre-Tax capabilities, balancing customer value, business priorities, regulatory requirements, operational needs, and technical constraints.Analyze the business context and client’s current state. Define business needs. Identify gaps between the current product experience and the target state, and define product initiatives required to close those gaps. Define and track product KPIs and success metrics for key Pre-Tax journeys. Use customer feedback, usage data, operational metrics, and market insights to support prioritization and product decisions. Contribute to product strategy by identifying opportunities to improve adoption, engagement, operational efficiency, and competitiveness of Pre-Tax offerings. Define and manage solution scope, detect, and track changes. Manage requirements-related conflicts and issues up to resolution. Document requirements in accordance with predefined standards and project specific. Specify a list of systems, actors, and organizational departments affected by the solution scope, and define assumptions and constraints. Plan communication with stakeholders. Collaborate with business stakeholders, project managers, and teams to reach a common understanding of the solution to address the needs. Manage requirements communication considering the project’s specifics and stakeholders’ preferences. Communicate product priorities, decisions, roadmap updates, and trade-offs clearly to both technical and non-technical stakeholders. Support release planning and milestone definition, ensuring that product scope is realistic and aligned with delivery capacity and business priorities. What you need for this Required skills: IT industry experience: 7 years or more, including collaboration with clients abroad. Experience in business analysis or product management: 5 years or more. Hands-on experience with U.S. Pre-Tax / tax-advantaged employee benefits products – 3+ years Experience with claims, reimbursements, expense eligibility, substantiation, adjudication, and supporting documentation workflows. Strong understanding of the software development lifecycle and Agile product delivery. Knowledge of business analysis activities and techniques, requirements lifecycle. Knowledge of requirements management tools (at least JIRA & Confluence). Strong English verbal and written communication skills. Strong analytical and problem-solving skills, including the ability to use data and customer feedback to support product decisions. Ability to define product success metrics and evaluate the impact of released functionality. Skills to represent information in graphical form. Systems thinking and ability to understand complex interconnected product and operational flows. Will be a plus: Knowledge of prototyping tools. Knowledge of product management best practices. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Business_Analytics Pre-Tax ProductManagement

Location: New York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Location: Must reside in the Eastern Time Zone. WHAT YOU'LL DO Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Intellias Meet your recruiter Yustyna Vozna yustyna.vozna@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Automation Test Engineer (Java) Senior Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you The Client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, was founded in 1984 and employs approximately 14,900 coworkers. For the trailing twelve months ended June 30, 2023, generated Net sales of approximately $22 billion. The project’s team is working on migrating existing Peoplesoft Financials and IBMi Financials platforms to Workday Platforms. We’re seeking a Workday QA to support new integration requirements and testing. What you will do Collaborate / Coordinate / Drive the test plans test performing for Workday financial integration solutions Document and maintain artifacts around testing Collaborate with cross-functional teams Work closely with Finance, Accounting and IT teams to plan and execute against new Workday related initiatives or enhancements Engage with third party vendors as needed on planned integrations or to support and maintain existing integrations What you need for this Required skills: 6+ years of hands-on experience in Quality Assurance and Test Automation Experience with various Workday Integration testing Thorough understanding of different testing methods, techniques, types, and methodologies, being able to choose the most appropriate approach for a given project Knowledge of test end-to-end  automation specifics Coding proficiency in Java Deep understanding of SOLID principles and design patterns, hands-on experience applying them to test frameworks Expert-level experience in development of Automation Frameworks Experience with test automation tools and libraries for API test automation, such as RestAssured or similar Experience in using test runners (TestNG, JUnit4/5) Strong experience in setting up and configuring test monitoring and reporting tools for complex systems Ability to get things done ability to work solo without active guidance from lead and detailed feature description. Shifted hours 10 AM- 7 PM or 9 AM-6 PM. Central time overlap required: ~2-4 hours per day. Will be a plus: Financial experience is a plus Experience in Agile SAFe Framework What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world. Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.   THE OPPORTUNITY - Improve build and release pipelines in GitHub Actions: caching, parallelism, pinned toolchains, and required tests and scans before production - Manage AWS infrastructure as code with Terraform, and run services as containers on Nomad - Build deployment tooling with health checks and automated rollback, and make deploys safe around market sessions - Add metrics and alerts to the services you build, so you can see whether a deploy worked - Monitor systems, respond to alerts, and support daily operations such as settlement cycles - Fix the cause of production issues and write down what you learned - Build, test, and ship well-reviewed features and fixes in our services across the exchange, clearinghouse, and brokerage. Most of the code is Haskell - Understand the order, trade, clearing, and settlement flows end to end   WHAT YOU BRING - Hands-on experience with CI/CD pipelines, such as GitHub Actions or GitLab CI - Production experience with AWS and Docker, and infrastructure as code with Terraform - Strong Linux and scripting skills (Bash, Python, or similar) - 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++ - Solid computer science fundamentals, including distributed systems: failure modes, retries and idempotency, consistency, and how to observe them across services - Willingness to take part in on-call and operational shifts - Care and rigor with code that moves money - Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it - A habit of asking why before changing something - Sound judgment under pressure, with a calm and methodical approach when production is live - Collaboration across engineering, operations, risk, and compliance, with a habit of documenting   NICE TO HAVES - Financial knowledge or experience in trading, markets, or financial services - Bachelor's degree in computer science or a related field, or equivalent experience - Experience with Nomad or Kubernetes - Experience with Nix, Ansible, Vault, or Prometheus, Grafana, and Loki - Haskell experience Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world. Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.   THE OPPORTUNITY - Build, test, and ship well-typed, well-reviewed features and fixes in Haskell services across the exchange, clearinghouse, and brokerage - Understand the order, trade, clearing, and settlement flows end to end - Design schema, constraints, and indexes for new features, using exact numeric types and audit trails so financial values cannot drift - Write migrations that are lock-safe and reversible on large tables, and review the migrations of other engineers - Read execution plans, find slow queries from production metrics, and fix the cause in the query, the index, or the access pattern - Monitor systems, respond to alerts, and support daily operations such as settlement cycles - Fix the cause of production issues and write down what you learned   WHAT YOU BRING - 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++ - Strong SQL and PostgreSQL skills, including transactions and isolation levels - Solid computer science fundamentals, including data structures, concurrency, and distributed systems: replication, consistency, retries and idempotency, and how services keep shared data correct when parts fail - Willingness to take part in on-call and operational shifts - Care and rigor with code and data that move money. You measure before you tune - Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it - A habit of asking why before changing something - Sound judgment under pressure, with a calm and methodical approach when production is live - Collaboration across engineering, operations, risk, and compliance, with a habit of documenting   NICE TO HAVES - Financial knowledge or experience in trading, markets, or financial services - Bachelor's degree in computer science or a related field, or equivalent experience - Haskell experience, particularly with PostgreSQL-backed services - Production experience with AWS Aurora PostgreSQL - Experience with time series or market data at volume, such as tick data, order books, or event streams - Experience with Atlas or another declarative schema management tool Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 5+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 10+ years of software engineering experience (preferrably Java) 5+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 5+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Location: United States ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Junior Statistical Programmer to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. The Junior Statistical Programmer is a delivery-focused role supporting clinical trial programming activities under the guidance and supervision of experienced Statistical Programmers and Programming Team Leaders. The individual will contribute to the development, validation, and maintenance of statistical programming deliverables and gain hands-on experience in clinical trial data and industry standards. The role requires a strong foundation in statistical programming, attention to detail, willingness to learn, and the ability to work effectively within a collaborative team environment. Responsibilities Programming for Clinical Trials Support the development and validation of datasets, tables, figures, and listings for clinical trials. Perform programming activities using SAS and/or R under appropriate guidance and review. Assist with processing and integrating data from internal and external sources. Support ad hoc analyses and programming activities for clinical development and other Research & Development functions. Assist with the development, review, and maintenance of programming specifications and documentation. Contribute to the development and review of SDTM and ADaM datasets and specifications . Support the preparation and review of Define-XML and other clinical trial documentation. Work closely with Senior Statistical Programmers, Biostatisticians, Data Managers, and other cross-functional team members. Electronic Submissions Support the programming and validation of CDISC-compliant datasets and deliverables for regulatory submissions. Assist with the preparation of supporting documentation for electronic submissions. Ensure programming outputs follow applicable standards, specifications, and quality requirements. Quality and Validation Perform programming validation and quality checks according to established procedures. Identify, document, and resolve programming issues in collaboration with senior team members. Ensure assigned deliverables are completed accurately and within agreed timelines. Standards and Guidelines Follow departmental programming standards, working instructions, and applicable industry guidelines. Develop knowledge of CDISC standards, including SDTM and ADaM . Assist in maintaining and improving programming macros, utilities, and reusable functions. Qualification & Experience Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, Life Sciences, or a related discipline . 0–2 years of experience in statistical programming, preferably within the pharmaceutical, biotechnology, CRO, or clinical research industry. Basic to intermediate knowledge of SAS and/or R . Familiarity with SAS programming and SAS Macro language is preferred. Basic understanding of clinical trial data and the drug development process . Knowledge or exposure to CDISC standards, SDTM, and ADaM is preferred. Familiarity with clinical trial datasets, tables, figures, and listings is an advantage. Strong attention to detail and commitment to data quality. Ability to work effectively in a team environment and learn from senior team members. Ability to manage assigned tasks and meet project timelines. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-DNP

Location: Buenos Aires, Argentina Workplace: hybrid About Aleph Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy. We are looking for a Senior Client Partner (Digital Advertising Sales) to support our team in Argentina.   Are you an experienced digital advertising sales professional - a senior account executive, key account manager or client partner - with a passion for building strong client relationships and driving business growth? Join us to represent a leading digital platform, working closely with advertisers, media agencies, and decision-makers in the Argentine market. What You Will Do Evangelize and promote the digital platform through live client and agency engagement. Drive advertising sales (ventas de publicidad digital) while educating customers on product features, benefits, and best practices. Build excitement, awareness, and interest in the platform through creative, consultative solutions. Foster and maintain strong, lasting relationships with decision-makers at media agencies and direct advertisers. Represent the company positively within the market and actively contribute to customer satisfaction. Stay ahead of digital advertising trends and use data and insights to guide client strategies. Collaborate with internal teams to continuously improve the client experience. What We Are Looking For 5+ years of experience in digital advertising sales (display, video, native, programmatic) with a strong portfolio of agency and direct advertiser clients. Strong understanding of the digital advertising landscape - platforms, ad products, ad tech, and market trends. Proven ability to deliver engaging presentations and tell a compelling story. Exceptional relationship-building and communication skills - written, verbal, and interpersonal. Strong analytical skills, with the ability to translate data into actionable insights. Energetic, goal-oriented, and comfortable working in a fast-paced, dynamic environment. Existing, close relationships with key decision-makers in the local market (agencies and advertisers in Buenos Aires and Argentina). Bachelor’s degree in Marketing, Communications, Advertising, or Business. Fluent in English. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You are not afraid to question the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork and also bring a driven, goal-oriented spirit. You are genuinely enthusiastic about advertising, ad tech, and staying ahead of industry trends. You communicate with internal and external stakeholders in a positive and approachable way. Why Join Aleph Impact: your work directly connects brands and consumers in meaningful ways, shaping the future of digital advertising in Argentina and beyond. Growth: we give you the freedom to grow and create within the company, whatever your position, and our internal talent gets real growth opportunities. Learning: our state-of-the-art workshops keep you on top of the latest insights in digital advertising. Team culture: join a diverse, multicultural team that values different perspectives, experiences, and talents, and where creativity, collaboration, and bold ideas are celebrated. Market context: work with leading brands, platforms, and publishers in a global footprint, in one of Latin America’s most dynamic digital advertising markets. Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, and our curiosity keeps us learning and seeking out new opportunities. We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together. We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com. “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Power Platform Engineer Senior United States Hybrid APPLY NOW REFER A FRIEND We are looking for a Senior Power Platform Developer to design, build, and support enterprise business applications and workflow automation solutions using the Microsoft Power Platform. The role requires strong hands-on experience with Power Apps, Power Automate, Dataverse, Microsoft 365 integrations, and enterprise application lifecycle management . What project we have for you The project supports digital transformation and business process automation for a large global industrial organization. The team develops enterprise applications and automated workflows that replace manual processes, connect business systems, and improve operational efficiency across multiple business functions. The technology landscape is centered around Microsoft Power Platform, Microsoft 365, Dataverse, SharePoint, and enterprise integrations . What you will do Design, develop, and maintain enterprise solutions using Power Apps, Power Automate, and Dataverse . Build Canvas and Model-driven applications based on business requirements. Develop complex workflows, approvals, and process automation. Design Dataverse data models, security roles, and application logic. Integrate Power Platform solutions with Microsoft 365 and external enterprise systems. Develop APIs, custom connectors, and reusable integration components where required. Manage solution lifecycle across development, test, and production environments. Ensure solutions meet performance, security, maintainability, and governance standards. Troubleshoot and enhance existing applications and automations. Participate in technical design reviews and provide guidance to other developers. What you need for this Requirements: 10+ years of software/application development experience with strong focus on Microsoft Power Platform . Strong hands-on experience with Power Apps , including Canvas and Model-driven applications. Advanced experience with Power Automate and complex business workflow automation. Strong knowledge of Microsoft Dataverse , including data modeling, relationships, business rules, and security. Experience integrating Power Platform solutions with Microsoft 365, SharePoint, APIs, databases, and external enterprise systems . Experience creating and maintaining custom connectors and API-based integrations . Strong understanding of Power Platform security, roles, permissions, and environment management . Experience with Application Lifecycle Management (ALM) , solutions, Dev/Test/Production environments, and deployment processes. Experience troubleshooting and optimizing production Power Platform applications and flows. Ability to translate business requirements into scalable technical solutions. Will be a plus: Experience with Power Pages and Power BI. Experience with Azure Logic Apps, Azure Functions, or other Azure services . JavaScript/TypeScript, C#, or .NET experience for extending Power Platform capabilities. Experience with PCF/custom components . Experience with Copilot Studio or AI Builder . Knowledge of Power Platform governance and CoE practices. Microsoft certifications such as PL-400 . What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma helps teams turn ideas into products. Our Customer Operations & Support team helps customers use Figma and brings customer needs into operational and product decisions. As a Technical Operations & Insights Analyst, you will help shape where Support invests and how it scales. Reporting to the Manager of Workforce Management & Data Insights, you will combine hands-on analysis with metric development and cross-functional program leadership. You will identify opportunities across channel effectiveness, education, automation, and product improvements; assess their potential; and recommend priorities based on customer outcomes, quality, capacity, and cost. You will lead the work that turns those recommendations into measurable outcomes. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Identify and size opportunities to improve customer outcomes and operating efficiency. Turn ambiguous questions into investment recommendations, including when to proceed, test, defer, or stop Develop trusted measures, including cost per support interaction. Agree definitions, cost allocation, exclusions, and ownership with operational and financial partners Use SQL and Python or R to build reproducible analyses, data models, and reporting. Use git, peer review, and responsible AI-assisted workflows to develop, validate, and document the work Apply statistical inference to operational decisions, including observational comparisons, uncertainty, and sensitivity analysis. Explain the assumptions and limits of the evidence Build scenarios that connect costs, benefits, capacity, and customer outcomes. Partner with Finance to evaluate investment tradeoffs and define how results will be measured Lead cross-functional analytical programs from scope through delivery, adoption, and outcome review. Establish owners, milestones, dependencies, and decision points with partner teams Communicate complex findings through clear writing and purposeful visualizations that make recommendations, tradeoffs, and uncertainty understandable Build adoption and sustained use into delivery through documentation, appropriate data-quality checks, and agreed ongoing ownership We’d love to hear from you if you have: 5+ years in analytics, strategy and operations, or a related analytical role, with a track record of influencing operational decisions Strong SQL and hands-on Python or R, working reproducibly with git and peer review, plus practical fluency with AI-assisted tools, including validating their output and owning the result Sound statistical and financial judgment: developing metrics, evaluating observational comparisons and uncertainty, and building basic scenarios that clarify costs, benefits, and tradeoffs A record of delivering cross-functional work from scope through adoption, including aligning stakeholders with conflicting priorities and challenging assumptions with evidence and respect Strong written, verbal, and visual communication, including concise data storytelling for senior leaders and creative approaches to framing complex problems While it’s not required, it’s an added plus if you also have: Customer support, customer experience, service operations, or cost-to-serve analytics Experience with dbt, Snowflake, Hex, or comparable analytical toolsets Experiment design, automation measurement, or evaluation of changes to customer workflows Deeper financial modeling, workforce planning, or coaching other analysts Experience designing in Figma At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Intellias Meet your recruiter Mariia Savchenko mariia.savchenko@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Strong Middle Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Develop MCP servers/services for local applications . Expose application capabilities, data and business operations to AI agents through secure MCP interfaces. Integrate MCP services with existing REST APIs, databases and enterprise applications. Develop AI agents consuming both local and global MCPs . Implement agent instructions, tool calling, workflow logic and guardrails. Implement authentication, authorization and secure access to enterprise systems. Build reusable integration components and MCP tools. Perform end-to-end testing of agents and MCP integrations. Troubleshoot agent/tool interactions and integration failures. Monitor agent performance, reliability, latency and cost. Implement automated tests and CI/CD. Work closely with the Senior AI Engineer, global AI/platform teams and application owners. What you need for this Required skills Strong Python development skills. Backend or integration engineering experience. REST API development and integration. Microsoft Azure experience. Experience with LLM applications, tool/function calling or AI agents. OAuth 2.0 / Microsoft Entra ID or similar identity technologies. SQL and JSON. Git and CI/CD. Understanding of software engineering practices, testing and production support. English communication skills. Strong advantage Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Semantic Kernel, LangGraph or other agent frameworks. Azure Functions / API Management. Power Automate. Experience integrating AI solutions with enterprise applications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

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: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; United States; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s Core Infrastructure Engineering team builds and operates the shared data systems behind critical production services. Our estate spans on-premises and cloud infrastructure, with MariaDB at its centre and Kafka, Redis and Elasticsearch across the wider platform. We’re hiring a Principal Database Engineer to bring long-term experience and technical judgment to this estate. You’ll assess it, set the goals and direction, and work hands-on with the team to deliver measurable improvements. This is an individual contributor role with influence across teams and several quarters of work.   THE OPPORTUNITY - Review the estate against business needs and production evidence. Judge reliability, scale, cost and operational complexity, identifying what should be preserved and where investment or simplification would make a difference. - Define the target architecture and measurable goals. Agree a prioritised roadmap with engineering leads and dependent teams, explaining the trade-offs and sequencing work around delivery risks. - Execute that roadmap with the team through design, implementation and adoption. Stay personally involved in difficult migrations and scaling decisions, with representative benchmarks, data-integrity checks and credible cutover and rollback plans. Adapt the plan as evidence changes and verify the results in production before calling the work complete. - Investigate difficult MariaDB failures and performance limits through the engine, storage and application behaviour. Improve fleet reliability through useful observability, safer changes and tested backup, restore and disaster recovery procedures. Set recovery objectives with service owners and prove them through exercises. - Build and maintain production software for database provisioning, upgrades and routine maintenance. Make self-service workflows safe and auditable, incorporating access controls and change evidence with Security and Compliance. - Work with application teams on schemas, transaction boundaries, queries and data-store choices. Make the operational consequences clear and resolve dependencies that span teams. - Mentor engineers across the team through design reviews, pairing and incident analysis. Help them deepen their database expertise and take ownership of technical decisions. - Participate in on-call and incident response, leaving clear operational ownership and following through on lessons from production.   WHAT YOU BRING - 8+ years operating and evolving production database estates at scale. You have assessed inherited systems, set technical direction and delivered improvements with engineering teams, and can explain how those decisions held up over time. - Strong understanding of high availability, replication and distributed database failure modes. You can explain consistency and availability trade-offs and reason about transaction boundaries and reliable event delivery, including transactional outbox patterns. - Deep, recent hands-on MariaDB expertise, including InnoDB, MVCC and transaction isolation, locking, query optimisation, binary logs and MariaDB GTID replication. You can explain the mechanisms and diagnostic evidence behind your decisions. - Personal ownership of MariaDB incident diagnosis, performance tuning and tested restore or point-in-time recovery. You can explain what you did, how you established data integrity and what remained uncertain. - Strong software engineering skills in Python, Go, Rust or a comparable language. You have personally built and maintained production software or automation for database workflows such as provisioning, failover, online schema changes and self-service operations, using version control, code review and delivery pipelines, with tested failure handling. - Strong low-level Linux, Kernel, storage and networking fundamentals, with the ability to investigate problems beyond the database process. - Clear written technical judgment and demonstrated delivery across teams without reporting-line authority. You help stakeholders make sound database design and lifecycle decisions, and develop experienced engineers through shared delivery.   NICE TO HAVES - Experience operating databases in containerised, hybrid on-premises/cloud or multi-region environments. Familiarity with Kubernetes, infrastructure as code or GitOps, including their operational trade-offs. - Experience with database proxies or load-balancing layers (MaxScale, HAProxy, ProxySQL, or similar). - Experience with PostgreSQL, Vitess, TiDB, ScyllaDB, ClickHouse or internal database platforms; operational knowledge of Kafka, Redis/Valkey or Elasticsearch/OpenSearch. - Experience in regulated environments or contributions to database engines, operators and other infrastructure software. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Santo Domingo, Dominican Republic Workplace: hybrid About Aleph Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy. As Client Solutions Lead for TikTok (the kind of role often called account manager or client success lead in digital advertising), you will join our Client Solutions team in Santo Domingo. The team is responsible for campaign execution and success, working closely with the Client Partner team to deliver first-class service to clients. You will work with top agencies and brands across Latam, educating and informing them about the exciting evolution of TikTok’s advertising platform and about Aleph. In partnership with the Client Partner, and in collaboration with the Brand Strategist, you will ensure the successful design and delivery of all assigned campaign strategies, including original content, custom-built, high-impact and targeted media. What You Will Do Take part in strategic planning with Sales to grow existing business and generate new business opportunities. Act as a trusted consultant for top key accounts. Be the point of contact (POC) for clients, delivering campaign management and reporting on time, and share actionable insights with clients and Sales through quantitative and qualitative analysis of campaign performance drivers (products, budget, costs and creative efficiency metrics against defined KPIs) and delivery. Ensure SLAs are respected so that Aleph is first class in client service. On the performance side, optimize accounts to increase spend; on the reservation side, manage the project through to success. Drive education on products and company updates, and share best practices relevant to clients’ and agencies’ business. Work with a diverse group of internal cross-functional teams to identify, create and implement creative ad solutions grounded in measurable business results for client partners. Serve as the go-to contact for the Sales team. Help educate clients and agencies on product solutions and best practices, and help the team manage relationships with key clients and agency partners (media, creative and marketing partners) to grow existing business. Maximize ROI for brand campaigns through optimization and upsell recommendations supported by client-facing reports. Manage large customer relationships, work through conflict and guide groups towards collective business decisions. Provide feedback to product and tools teams to help us scale our advertising platform. Organize and manage account information, assets, data and reports. Keep accurate records of all pending and active campaign plans, and help maintain the campaign schedule and the availability of ad placements. Work with the product and campaign execution teams to ensure ad specifications and rates are accurate, and take responsibility for campaign reporting and optimization. What We Are Looking For At least 3 years of experience in client relationship management and digital media (account management, client services or campaign management). Bachelor’s degree in Advertising, Marketing, Business or Technology. Deep understanding of the digital landscape and a passion for social media. Strong familiarity with online media planning, design and art control (creative review) of advertising pieces. Experience managing campaigns across digital platforms and ad tech products. Strong communication and people skills, with experience working directly with clients. Detail-oriented, with exceptional organizational skills. Aptitude, creativity and a preference for working in collaborative teams and across business units. Strong time management and problem-solving skills. Ability to multitask under challenging deadlines while staying focused on detail. Fluent in English and Spanish (bilingual). Why Join Aleph Impact: You will work on TikTok campaigns for top agencies and brands across Latam, with a direct line between your work and measurable client results. Growth: We provide internal talent with growth opportunities and the chance to learn together as Aleph expands across 130+ markets. Team culture: Aleph is a place of many cultures, perspectives and talents. We support each other, and we value partnership and communication because great things take a group of people. Market context: Social video is reshaping how brands reach audiences in the Dominican Republic and across Latam. You will help shape that from inside a global platform partner. Flexibility: This is a permanent role with a hybrid arrangement, in a team that stays flexible and moves with the speed of change. Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, and our curiosity keeps us learning and seeking out new opportunities. We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together. We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com. “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH

Location: London, UK As Community Lead for VALORANT in Northern Europe, you will be a key connector between our players, our brand, and our product and esports teams. You will lead programmes and initiatives that deepen community engagement, strengthen creator and influencer relationships, and bring VALORANT’s biggest moments to life for players across Northern Europe. You will help grow a network of creators who can act as trusted local voices and spokespeople for VALORANT across our events, campaigns, and community moments. You will champion player perspectives, help grow healthy local community ecosystems, and create meaningful opportunities for players to connect with the game and each other. You will also support locally relevant communications and social activity where it helps serve community priorities, working closely with your manager and the Northern Europe Publishing Lead to align on priorities, messaging, and channel plans. You will work closely with Publishing, Esports, Creative, Influencer, and other cross-functional teams to identify opportunities to grow fandom, strengthen player connection, and deliver meaningful community experiences around VALORANT. Job Location: London, UK Responsibilities: Develop and execute community programmes, activations, and locally relevant engagement initiatives aligned with agreed regional, EMEA, and global priorities. Develop and grow a network of local creators and influencers, supporting them to become trusted voices and spokespeople for VALORANT across events, campaigns, and community moments. Build and maintain strong relationships with community leaders, grassroots organisers, and other key partners. Partner with Publishing and VCT teams to integrate community, creator, and event activity into product launches, esports moments, and regional campaigns. Create opportunities for players to participate, connect, and celebrate VALORANT through community events, tournaments, watch parties, creator-led programmes, and other relevant initiatives. Build partnerships with PC cafés, university gaming societies, and other local player communities to extend VALORANT’s reach and create consistent pathways into events, programmes, and the wider community. Monitor community conversation and sentiment; respond, engage, moderate, and escalate sensitive issues through the appropriate channels. Champion player perspectives internally by gathering insights and translating them into actionable recommendations for Publishing, Product, Esports, and Communications teams. Support and grow grassroots ecosystems, including community tournaments, local events, creator-led programmes, and other opportunities for players to participate. Manage day-to-day coordination with community, creator, event, and other external partners, providing briefs, feedback, prioritisation, and context within the agreed strategy. Contribute to locally relevant communications and social activity when required, working with your manager, the Northern Europe Publishing Lead, and partner teams on aligned messaging and execution. Track, analyse, and report on community, creator, and activation impact, using learnings to continuously improve our approach. Required Qualifications: 5+ years of experience in community management, creator/influencer relations, events, marketing communications, or related roles within gaming, entertainment, or adjacent industries. Proven ability to engage and grow gaming communities through programmes, activations, events, and community-led initiatives. Experience building and managing relationships with creators, influencers, community partners, agencies, or other external stakeholders, with a track record of helping partners deliver authentic player-facing programmes. Strong written and verbal communication skills in English, with the ability to communicate clearly and appropriately with different player and community audiences. Ability to translate regional and global strategies into locally relevant community, creator, and activation plans. Strong understanding of community management, player engagement, social listening, and reactive engagement. Deep understanding of VALORANT, its player culture, competitive ecosystem, and the FPS landscape. Strong understanding of gaming and creator culture across Northern Europe. Comfortable operating autonomously in a highly collaborative, fast-paced environment across multiple teams and markets. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players.  We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

Location: Remote Job Title: Marketing Automation Engineer (Braze) Build the infrastructure powering the future of restaurant payments At inKind, we’re building a new way to drive customers to restaurants. We power the relationship between millions of users and thousands of restaurants. We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You’ll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind. As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role. Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for  someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push — at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models. What You’ll Work On Platform Execution Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns Technical Rigor Write, understand, and document Liquid code to build dynamic content blocks Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues. Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you Understand technical limitations of campaigns and recommend well-scoped solutions Segmentation & Personalization Build precise, multi-condition audience segments using a full range of segmentation capabilities Maintain a clean, documented segment library — consolidating redundant definitions and flagging when underlying data changes affect targeting Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch Minimum Qualifications 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent) 2+ years of experience with Braze Deep expertise in journey/canvas building — multi-step, behavior-triggered flows with branching logic, delays, and channel mixing Dynamic templating skills: conditional blocks, variable logic, and live data integrations Experience with audience segmentation using behavioral data, custom attributes, and event properties Solid understanding of contact data models — user profiles, identified vs. anonymous users, subscription and consent management Ability to read API responses and event payloads to self-diagnose data issues without engineering support Liquid code proficiency Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation Understanding of email domains/behavior and record management SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding Familiarity with TCR rules and regulations Preferred Qualifications SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior Familiarity with how CRM data flows from a backend application via REST API or event streaming Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends Some of Our Benefits Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.