Вакансии

Lead the design, development, and deployment of scalable software applications according to the Service Level Agreement (SLA).

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources) You may be a good fit if you have 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 5+ years of technical go-to-market management experience, specifically managing pre-sales teams Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; Calgary; Vancouver; Toronto; Montreal Workplace: Remote Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding. IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature. Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension. As a Data Annotation Specialist on safety task, you will: - Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing. - Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases. - Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses. - Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality. - Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment. You may be a good fit if you have: - 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred. - Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias. - Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature. - Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more. Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor Agreement As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  The Lead Compensation Analyst manages core global compensation processes and serves as an advisor to HR and business leaders. Reporting to the Director, Global Compensation, this lead individual contributor role blends data modeling with business consultation to keep our pay practices competitive, fair, and compliant across all operational regions. In this role, you will lead the annual global compensation cycle, administer short- and long-term incentive programs, manage job leveling and market benchmarking, and run key total rewards initiatives. You will partner directly with HR Business Partners, Talent Acquisition, Finance, and Sales Operations, while helping managers and employees better understand our compensation philosophy and structures. Responsibilities 1. Compensation Consultation & Business Partnership Act as the primary compensation advisor for HR Business Partners, Talent Acquisition, and business leaders—providing guidance on candidate offers, promotions, market adjustments, job evaluation and leveling, and other elements of compensation. Partner with leaders to explain market trends, pay practices, and policy application across different regions. Work cross-functionally with Sales Operations and Finance on shared compensation initiatives to ensure operational alignment, accurate budgeting, and proper plan governance. 2. Job Evaluation, Incentive Design & Market Benchmarking Evaluate and market-price new and evolving roles to recommend job levels, salary bands, and job family placements. Lead benchmarking projects using survey data to evaluate market competitiveness and recommend updates to pay structures. Maintain the global job catalog and architecture, suggesting updates to leveling guidelines and benchmarking standards as the organization grows. Support the analysis, evaluation, and administration of short-term (bonus) and long-term (equity/LTI) incentive programs to ensure they align with business objectives and drive performance. 3. Annual Compensation Cycle Administration Lead the end-to-end planning and execution of the global annual compensation review cycle (merit, promotions, equity allocations, and short-term incentives)—including eligibility audits, budget analysis, Workday testing, payout calculations, and post-cycle audits. Model merit budgets, incentive payout forecasts, and cost scenarios for HR and Finance leadership, while tracking cycle timelines, approval workflows, and policy exceptions. Partner with Communications and Talent Development to create and deliver clear manager guidelines, timelines, and training resources for a smooth cycle. 4. Data Analysis, Reporting & Process Improvement Analyze internal pay data to conduct pay equity reviews, run cost scenarios, and evaluate market positioning. Turn complex datasets into clear summaries, dashboards, and executive presentations to support decision-making. Serve as the functional expert for compensation systems; partner with HRIS on Workday updates, configuration testing, data integrity, and process improvements. Identify opportunities to leverage modern AI tools and technology to automate manual reporting, streamline data workflows, and improve operational efficiency across compensation operations. 5. Training, Compliance & Project Management Build and deliver compensation training materials to help managers and employees understand pay structures, our compensation philosophy, and how to navigate compensation conversations. Maintain active oversight of wage and hour regulations, local and global pay transparency laws, and labor compliance regulations across operating regions. Manage projects independently. Qualifications Education & Experience Requirements Education: Bachelor’s degree in Human Resources, Business, Finance, Accounting, Economics, or a related field (or equivalent work experience). Compensation Experience: 7+ years of progressive compensation experience with strong hands-on background in program administration, job evaluation, short-term incentives, and market benchmarking across multi-region or global operations (e.g., Americas, EMEA, APAC). HRIS Skills: Direct experience with Workday (both Core Compensation and Advanced Compensation modules required). Analytical Skills: Advanced proficiency in Excel or Google Sheets, with a proven ability to model, audit, and analyze complex datasets. Benchmarking Platforms: Hands-on experience using market pricing platforms and global salary survey data. Communication & Influence: Strong consultative and presentation skills, with a track record of building trust with leaders, explaining pay concepts clearly to non-HR audiences, and partnering effectively with HR and Finance teams. Knowledge, Skills & Competencies Deep understanding of job evaluation methodologies, market pricing, salary structures, incentive plan mechanics (STI/LTI), and annual review cycles. Strong working knowledge of compensation compliance regulations, including FLSA, global pay transparency legislation, and international pay practices. Ability to run projects independently with minimal oversight, handle complex pay scenarios with sound judgment, and maintain strict confidentiality. Demonstrated interest or experience in using AI tools and technology solutions to optimize workflows, automate routine compensation analysis, and increase operational productivity. Certified Compensation Professional (CCP) preferred "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Lead Compensation Analyst, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $106,000 to $146,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: Remote A Software Developer (Market Setup) takes a trading venue from a signed agreement to the first live trade on our platform, then makes the next venue happen sooner. What You Own: one venue, stage by stage: Scoping. Read the venue's specifications; list what the platform has and what is missing; estimate the setup.Scoping. Connectivity. Design it with infra: colocation or proxy, lines, addresses, multicast groups, firewall rules, failover. Protocol adaptation. Adapt our market data and order entry connectors to the venue's binary protocol: SBE, FAST, ITCH and OUCH, Eurex ETI and EOBI, LSE native, or the custom binary protocol a venue publishes for itself; sessions, recovery, throttles, reject handling. Product and risk parameters feed. Pull the venue's raw product definitions and risk parameters, margin rates, price limits, lot and tick tables, position limits, in whatever form they are published, and deliver them complete to the team that normalizes them; you are their source on what the venue's fields mean. Historical data. Convert the venue's archives and captured feeds into our format at volume; validate against live captures. Latency tuning. Measure the path with hardware timestamps against the venue's figures and the strategies' budget; tune host placement, NIC and kernel bypass settings, pinning, the connector's hot path, gateway choice; record the baseline for ops. Certification. Pass the venue's conformance tests and ours: replay, soak, order-flow scenarios, failover. Operations preparation. Write the operating instructions for the desk and ops: sessions and timings, limits, start and stop, failure modes and what to do in each, who to call at the venue. Walk the desk through the first day before it happens. Go-live. First live trade, hypercare, handover. What This Role Is Not: Not the core engine: the engine developers in the same team own it; you adapt and assemble. Not configuration: a venue needs code, in C++ and Python; an LLM writes much of it, you specify, review and test all of it. Not normalization: another team maps the venue's products and risk parameters onto our model; you deliver the raw feed they map from. Not 24/7 operations: the desk and ops run the venue after handover; you write what they run. Not strategy work: researchers decide what and how to trade; you make the venue tradable. What We Look For In You: Solid understanding of data structures, algorithms, and object-oriented programming in C++ Understanding of Linux system internals Decent level of written and spoken English to work in an international environment Performs well in a remote/hybrid team with variable, project-based responsibilities Nice-to-have: In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency. LockFree containers and thinking pattern C programming knowledge (written drivers for Linux system, worked with the core etc.) Why Should You Join Our Team? Full focus on results with no bureaucracy Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Strong Middle Bulgaria, Croatia, Egypt, India, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND We are looking for a Python Engineer to build and maintain stateful AI agent workflows using LangGraph. The role focuses on workflow orchestration, checkpointing, human-in-the-loop interactions, resilience patterns, and observability across agent execution paths. The ideal candidate has strong Python expertise, hands-on experience with LangGraph or LangChain, and a solid understanding of asynchronous and distributed workflow design. What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design and implement AI agent workflows using LangGraph and Python. Build and maintain graph-based orchestration logic using nodes, edges, and state transitions. Implement workflow checkpointing and recovery mechanisms using SQLite, Redis, or PostgreSQL backends. Develop Human-in-the-Loop (HITL) workflows for approval, escalation, and intervention scenarios. Design resilient execution patterns including retries, timeouts, fallback handling, and failure recovery. Develop asynchronous workflow execution using Python asyncio. Implement OpenTelemetry tracing across orchestration layers and workflow steps. Troubleshoot workflow execution issues and optimize performance, reliability, and observability. Collaborate with platform and AI engineering teams to build scalable agent-driven solutions. Create automated tests for workflow reliability, state transitions, and recovery scenarios. Contribute to engineering standards and best practices around agent orchestration and workflow management. What you need for this • Python (LangGraph nodes, edges, graphs) • Checkpointing with LangGraph (SQLite, Redis, Postgres checkpointers) • HITL workflow implementation • Retry, timeout, fallback patterns in LangGraph • OpenTelemetry tracing across orchestration steps Experience: • 4+ years Python development • LangGraph or LangChain agent orchestration • Async Python (asyncio) Will be a plus: • AWS Bedrock integration • Multi-agent workflow testing • LangSmith trace visualization 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: Colombia We are looking for a Business Analyst to join the Origination Delivery team in Colombia . The team is responsible for end-to-end bank card delivery, covering three key areas: Ambassador Delivery (our own courier network and internal tools), Postal Delivery (external logistics partners), and Inventory (card production, accounting, and transportation). In this role, you will work at the intersection of operations, product, engineering, and analytics, helping digitize operational processes, translate business needs into product requirements, and improve delivery performance. You will work closely with local operational teams to identify bottlenecks, develop internal tools, and drive improvements in delivery quality, conversion, and ambassador efficiency. Challenges that await you: Gathering and structuring business requirements from operational teams and translating them into clear development tasks Developing Ambassador Delivery scenarios and internal tools for couriers and supervisors Improving ambassador performance monitoring and incentive management processes Analyzing operational workflows, collecting feedback from local teams, and identifying bottlenecks Formulating hypotheses and running A/B tests and experiments to improve delivery quality and conversion Supporting the digitization and optimization of operational processes Defining key performance metrics and collaborating with Product Analytics on dashboards and reporting Working closely with Product, Engineering, and Operations teams to support implementation, releases, and post-launch analysis What makes you a great fit: 3+ years of experience as a Business Analyst Strong understanding of product development processes, product metrics, and continuous product improvement Experience gathering and documenting business requirements and translating operational needs into development tasks Hands-on experience with hypothesis generation, experimentation, and A/B testing Strong analytical skills and ability to work with data, reporting, and Product Analytics teams Willingness to work closely with local operational teams, including on-site visits to understand processes and identify improvement opportunities Confident use of Claude or other AI tools in daily work Strong communication and stakeholder management skills, with the ability to work across multiple teams Independence, proactivity, and ability to manage diverse tasks in a fast-changing environment B2 or higher English level for effective communication with an international team Willingness to relocate to Colombia and work on-site with local teams Your bonus skills: Spanish language skills Experience with operations-heavy products , logistics, delivery, or internal operational tools Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia with assistance for the employee and their family Flexible work from our office or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

-6-8+ years building full-stack products, including time as the senior person on the work. -Strong relational database skills, Postgres or MySQL: schema design, indexing, query tuning, transactions, and what actually happens under load.

Location: Remote in Germany; Remote in the UK Workplace: Remote At http://sanity.io/Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like PUMA, Carhartt WIP, Anthropic, Just Eat Takeaway, Spotify, HiPP, and Mercedes-AMG are using Sanity to power and automate their content operations. Your team ensures that enterprise customers are successful and happy using Sanity. This means working closely with technical leaders at our customers to align their strategic goals with implementation details; facilitating brainstorming sessions between editors, designers, and developers; and helping developers make decisions for their unique business needs. In this role, you will take ownership of your customer relationships and drive both internal and external conversations. You'll also have the opportunity to learn more and develop expertise on the people's side of technology. WHAT YOU WOULD DO: - Lead onboarding workshops that are customized to each customer’s needs and background. - Proactively develop relationships with technical and product stakeholders at our customers. - Meet regularly with technical customers to demonstrate how new features work for the customer’s specific needs, answer their questions, and help them plan their Sanity implementation. - Work with account managers to develop expansion opportunities at existing customers - Support the new account sales cycle through technical workshops and proof of concept development - Create and share examples to help customers understand concepts and implement more quickly - Develop and maintain guides and learning modules to address common topics - Develop and maintain plugins for common integrations and implementation patterns - Represent clients’ requests and requirements to the internal product team - Work with Support Engineering to work through customer challenges and unblock specific scenarios - Support marketing and product research teams to connect with relevant customers and plan events and webinars ABOUT YOU: - Based in Germany or the United Kingdom - You're fluent in both German and English - 3-5 years of experience in a software development role - Advanced experience with at least one of the following frameworks: React, Vue, Angular, Astro - Familiar with backend architecture and SaaS platform integrations - Experience with one of the following: - Implementing headless CMS - Implementing headless e-commerce - As a Solution Engineer or Solution Architect at a developer-focused SaaS - Outstanding communication skills, both verbally and in writing - Proven experience developing solutions with customers - Problem-solving skills with a results-oriented mindset - Exceptional organizational and time management skills - Structured with a strong attention to details - Bonus: experience in a B2B customer-facing role, such as consulting or account management - Bonus: you have used Sanity in production Not sure you’re exactly what we’re looking for in this role? Apply anyway! WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Location: Worldwide About the role We are looking for a Junior Analyst to join our Integrated Risk Management team and focus on market and macro research. Integrated Risk Management (IRM) is Plata’s second line of defense: we own the company’s risk profile end to end (credit, liquidity, FX and strategic risk) and give management independent advice on how to grow without losing control of it. Part of that is seeing what happens in the market before it reaches our portfolio. You will follow how Mexico’s economy and consumer-lending market are moving, and study how banks and fintechs in Mexico and other markets make money: their business models, unit economics, growth and credit quality. Your work will feed the monthly risk review for senior management and our capital, liquidity and business-plan scenarios. Previous work experience is optional. We welcome economics graduates who understand how economies, companies and banks work, are curious, and can turn research into clear conclusions. Challenges that await you: Prepare the monthly market overview and the quarterly competitor benchmark for senior management: growth, asset quality and profitability of banks and fintechs, based on regulatory data (e.g., CNBV) and company reports Track Mexico’s macroeconomy and household debt (Banxico rates, inflation, FX, employment, consumer credit) and help turn it into inputs for our capital, liquidity and business-plan scenarios Run deep dives on banks and fintechs in Mexico, Colombia and other markets at the request of senior management: business model, unit economics, revenue sources, risk profile Estimate market sizes and assess how attractive a market or segment is Collect, clean and reconcile financial statements and regulatory data: catch restatements, series breaks and stale figures, and explain what changed and why Turn findings into concise slides and memos in English What makes you a great fit: Education in economics or finance (macroeconomics, corporate finance, banking or a related field) from a strong university Solid understanding of how economies, companies, and banks operate: what drives revenue, costs, and risk Ability to read financial statements and work with key metrics such as growth, margins, cost of risk, NPL ratio, and ROE Confident Excel skills Structured thinking and clear, literate writing: you can build a storyline and a clean slide B2 or higher English level: most of our materials are in English Independence and self-organization: the team works remotely, so you plan your own work, deliver on time, and ask for help early Attention to detail: you check sources, dates, and numbers before drawing conclusions Your bonus skills: Internships or experience in macro, equity or industry research (e.g. a bank’s research department) or a similar analytical role Reading knowledge of Spanish: many sources are in Spanish SQL or Python, or hands-on use of AI assistants (e.g., Claude, ChatGPT) for research and analysis Up to 2 years of analytical experience Our ways of working : Innovative Spirit: a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to Georgia with assistance for the employee and their family Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5 Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 — $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Москва Workplace: Гибрид, Удаленно Объединённая компания RWB (Wildberries & Russ) — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности Анализировать предметную область, выявлять зависимости между системами, определять границы сервисов и точки интеграции; Готовить системные спецификации: функциональные и нефункциональные требования (производительность, безопасность, масштабируемость, надёжность), критерии приёмки, User Stories и Use Cases; Проектировать API и контракты взаимодействий, поддерживать спецификации (OpenAPI/AsyncAPI), согласовывать интерфейсы с разработчиками и смежными командами; Создавать и поддерживать аналитические артефакты: C4-диаграммы, sequence-диаграммы, ER-модели; Участвовать в архитектурных обсуждениях, готовить ADR по своим решениям, проходить arch review; Согласовывать требования с разработкой, QA и эксплуатацией, обеспечивать единое понимание задачи в команде; Участвовать в груминге, планировании, оценке трудоёмкости, сопровождать задачи до приёмки и релиза; Помогать QA с критериями приёмки и тест-кейсами, проверять соответствие реализации требованиям; Поддерживать актуальность документации в Wiki и других системах хранения знаний; Принимать в зону ответственности закреплённые подсистемы и развивать экспертизу по ним. Требования Имеете опыт работы системным аналитиком от 2х лет в командах разработки распределённых систем; Умеете собирать требования у бизнеса, переводить их в формальные спецификации и доводить до разработки без потерь; Владеете практикой проектирования API (REST, gRPC, message brokers) и описания контрактов через OpenAPI/AsyncAPI; Понимаете, когда какой способ интеграции применять: синхронный/асинхронный, очереди, события - и какие у них следствия (SLA, консистентность, failure scenarios); Обладаете уверенным владением нотациями: UML, C4, sequence-диаграммы; Понимаете SQL и моделей данных, имеете представление о нормализации, денормализации и эволюции модели данных во времени; Умеете декомпозировать сложное на части системно: видеть границы между сервисами на уровне проектирования; Имеете опыт работы в Agile-командах, понимание ролей и процессов разработки; Готовность брать ответственность за свои подсистемы и развивать экспертизу по ним вдолгую; Опыт работы с AI-агентами и искусственным интеллектом; Будет плюсом - опыт работы с микросервисной архитектурой; владение BPMN; знакомство с практиками Domain-Driven Design; умение читать код, если потребуется разобраться в реализации. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Location: Hong Kong Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is actively looking for an enthusiastic and inventive Account Manager to nurture and maintain long-term relationships with our Key accounts, merchants and partners. This is an excellent opportunity to join one of the most successful FinTech companies at a turning point of its global expansion. You will be the business advisor and main point of contact to a merchant's pre, during and post integration process. You will act as the voice of our product and ambassador of our brand, delivering expertise, education, and mentorship to our merchants. The key for success here will be the ability to use your business savvy knowledge and the required gravitas to effectively communicate and influence at all levels to achieve mutually beneficial scenarios and promote our value proposition. The ideal candidate is an independent, high-achieving individual, able to stand out in an ambitious environment and excel through self-motivation and personal drive. If you are eager to join a thriving, fast-paced, start-up company and contribute to shaping its future, this is the role for you to make a difference. How you’ll make an impact - Crafting merchant specific account development plans - Building high touch, consultative and positive relationships with our merchants through regular and open communications - Delivering expertise, education, and guidance to merchants as they craft and complete a comprehensive, global payments strategy. - Tracking merchant project deliverables and ensure merchant activities are updated within SalesForce - Understanding the intricacies of our products, services and partner networks thoroughly to leverage as needed to meet our merchants’ needs - Collaborating with various teams (e.g. Sales, Legal, Integration, Support) across the company to ensure an outstanding merchant experience What we’re looking for - 6+ years’ experience in a B2B Account Management, Relationship Management or Customer Success role in the FinTech and/or Payments industry - A strategic problem solver with excellent project management skills - Good knowledge of today’s major e commerce and payments technologies, players and major future trends - Customer driven and able to establish robust relationship with assigned customer base - Multifaceted approach adapting to changing requirements with the ability to balance multiple opportunities concurrently - Fluent in both Mandarin and English as working languages, with excellent cross-cultural communication skills and exceptional written and verbal skills in both languages. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Dubai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE ROLE The Senior Analyst, Financial Crime Compliance is a subject matter expert in the second line of defence, supporting the MLRO in managing and strengthening the Financial Crime Compliance function in the UAE. The role provides expert advisory and judgement on high-risk clients and complex escalations, acts as a strategic partner to Sales, Onboarding, Transaction Monitoring, Legal and Product, and helps ensure adherence to UAE AML/CFT/CPF, sanctions and payments regulations. WHAT YOU WILL BE DOING - Provide operational advisory on high risk clients, whether at onboarding, periodic review or trigger event, and deliver justified opinions and recommendations. This includes EDD cases, merchant change requests and screening alerts, with CDD/EDD rigorously performed and documented. - Present well justified risk recommendations to the MLRO, DMLRO. - Investigate alerts reported to Compliance, partner with the Financial Crime Investigations Unit (FCIU) and Transaction Monitoring on escalations, and review internal unusual activity reports. Draft Suspicious Transaction/Activity Reports (STR/SARs) for MLRO decisions ensure the riskiest clients are monitored accordingly. - Proactively lead or contribute to the development and update of the local compliance framework (policies, procedures and operating memos) with the support of the DMLRO. - Provide quick and precise advisory on internal team enquiries on the application of procedures. - Contribute to updating the AML/CFT risk classification and to the assessment of new products, features and activities, including stored value and card issuing propositions. - Contribute to external reports due to regulators, and to internal reports to senior management and the Board, including business-wide and entity-level risk assessments. - Support responses to internal and external audits and regulatory engagement, and track the timely completion of resulting action plans. - Perform second line quality assurance testing of CDD/EDD and screening decisions, and feed findings into process and training improvements. - Perform regulatory watch and gap analysis between applicable regulations and sanctions and the current framework, monitor emerging typologies, and propose enhancements. - Draft training material and presentations, and run scenario-based training sessions for business units. - Act as Subject Matter Expert (SME) in various ad hoc Group and regional Compliance projects. ABOUT YOU - Minimum 5+ years of experience in a Compliance function in the banking or payments space. - Prior experience in Compliance Advisory is ideal. Otherwise, a combination of 2LoD operations experience with exposure to investigations and audit handling is preferred. - Robust knowledge of financial security topics (KYC, AML/CFT, sanctions) and other compliance topics, including UAE regulatory requirements (CBUAE regulations on retail payment services, card schemes and stored value facilities) and scheme rules (added advantage). - Working knowledge of the UAE regulatory environment. Experience in a CBUAE regulated or other UAE regulated business is strongly preferred. - Clear sense of accountability and a positive, solution-oriented, can-do approach. - Ability to identify inefficiencies, see the bigger picture, challenge the status quo and define scalable and sustainable processes. - Well-organised self-starter, able to prioritise quickly and meet deadlines under pressure. - Strong stakeholder management and communication skills, and a collaborative team player. - Willingness to learn continuously and keep up to date with the payments industry and regulations, local and international. - Strong spoken and written English. - ACAMS, ICA Diploma or an equivalent certification, and/or a degree in Law or a related field, is desirable but not essential. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods that allow data scientists and business partners to answer increasingly sophisticated questions. We are looking for a senior technical lead who combines deep expertise in statistics, machine learning and causal inference with strong software engineering ability. You will establish the scientific direction for agentic analytics, causal inference, and forecasting, turning advances in research into reliable software used across the company. As an Applied Scientist on the Science Platform team, you will work across the full development cycle: identifying important problems, evaluating research, implementing and validating methods, and shipping capabilities that others can use confidently. You will partner closely with software engineers and data scientists to build an analytics agent that can investigate questions, select appropriate methods, execute analyses, and communicate findings with clear assumptions and uncertainty. Responsibilities: Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities. Design and build our analytics agent’s architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results. Build reusable causal inference tools that help teams estimate the effects of product changes, policies, and business decisions using observational data. Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis. Create evaluation frameworks that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations. Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design. Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows. Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate. Required Qualifications: A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs. Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences. Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries. The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration. Preferred Qualifications: Publications, open-source contributions, or widely adopted internal tools in agentic analytics, causal inference, forecasting, or other related fields. Experience building scientific libraries or platforms used by other data scientists, including interfaces that make sophisticated methods accessible to people with different levels of statistical expertise. Experience building agents at scale that perform substantive analytical work, including retrieval of relevant data and context, selection of methods, execution of Python or SQL, and validation of findings. Benefits: 100% remote opportunity (we have four office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401K with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a QA Engineer to join a team supporting an AI platform/product team. This role requires a more technical profile than a traditional QA position, with a strong focus on backend systems, API testing, and close collaboration with engineering teams. The ideal candidate has solid quality assurance experience, strong technical capabilities, and preferably a background in software development or SDET practices. This individual will help ensure the quality, reliability, and performance of AI platform services within a rapidly evolving AI environment. Beyond technical expertise, this person is an effective communicator who works well with developers and cross-functional teams, asks for support when needed, adapts quickly to change, and takes initiative to solve problems and improve processes. They thrive in collaborative environments and are motivated to contribute to the success of innovative AI-powered products. Design, develop, and maintain automated test suites using TypeScript and Playwright Create and execute functional, regression, smoke, and end-to-end tests Collaborate with developers and product teams to define test scenarios and acceptance criteria Identify, document, and track defects with clear reproduction steps Maintain and improve test frameworks, test data, and automation best practices Contribute to CI/CD integration for automated test execution Support release validation and quality assurance activities Review application changes and assess test impact Work closely with the team to improve test coverage, reliability, and execution efficiency Strong hands-on experience in QA Automation with TypeScript and Playwright. Experience designing and maintaining automated end-to-end and regression test suites. Solid understanding of software testing principles, QA processes, and defect management. Experience working with web applications, APIs, and modern frontend technologies. Ability to collaborate with developers, product owners, and other team members in an Agile environment. Experience with test framework maintenance, test data management, and CI/CD integration. Strong analytical and problem-solving skills with attention to detail. Good communication skills and ability to document test results and issues clearly. Experience with API testing tools or frameworks Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Familiarity with performance or accessibility testing Experience in data, analytics, or BI-related products Experience with test reporting tools and quality dashboards