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Location: Germany Workplace: hybrid Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For:Senior Solutions Consultant to support the development of the DACH Region providing technical expertise and experience to the team, customers, and partners. As a Solutions Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is based in Germany.Responsibilities:Customer Oriented:Conduct key customer meetings with Sales Executives, offering technical expertise and support on product development roadmap.Develop vision and strategies for CRM and BPM opportunities, designing/configuring custom demos, presentations, training, and supportive materials.Deliver product demonstrations to key accounts, tailored to match customer expectations and needs.Assist in the production of RFPs and other proposals to clients.Design and deliver high quality technical Proof of Concepts for prospective customers.Represent products to customers and at field events such as conferences, summits, seminars, etc.Partner Oriented: Communicate company vision to key prospect partners, aiding in their understanding of our product roadmap.Assist partners in defining sales strategies based on product specifics and capabilities.Company and Team-Oriented:Perform competitor analysis and provide feedback to R&D and Product teams, contributing to product development and Sales Enablement.Participate in defining deal-win strategies and region development strategies.Present technical and business aspects of proposed solutions to a C-Level audience.Requirements:Minimum 5 years of experience as a Solutions Consultant (Presales) in the SaaS/ PaaS industry, with a proven track record of success in handling complex sales deals, that involves sales scenarios (e.g. custom POCs and demos).Technical depth to respond to all functional and technical elements of RFIs/RFPs.Demonstrated experience working closely with C-level managers on the client side, understanding their needs, and providing tailored solutions.In-depth knowledge of the DACH market dynamics, including industry trends, competitor landscape, and regulatory environment.Experience in CRM, BPM, No-Code/Low-Code Platforms will be a plus.Strong communication and presentation skills, with the ability to articulate complex concepts clearly and convincingly.Proven success conveying customer requirements to Product Management teams.Recent experience programming within a modern web or enterprise development systems will be a plus.Familiarity in production environments (application servers, web servers, databases) will be a plus.Proven ability to work independently as well as collaboratively in cross-functional teams.Good command of English.Fluent German (C1/C2 or native level) is required, as the role involves working closely with partners and stakeholders across the DACH region. Professional communication in German is essential.Strong analytical and strategical problem-solving skills, with the ability to think out of the box, identify opportunities and drive results.Willingness to travel as needed to meet with clients and attend industry events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Dammam, Saudi Arabia Eram Talent is on the lookout for a knowledgeable and driven Sr. Static Equipment Engineer to join our esteemed team in Saudi Arabia. With a strong presence in the oil and energy sector, our consultancy firm is dedicated to connecting top-tier talent with industry-leading organizations. In this senior role, you will be responsible for the design, evaluation, and maintenance of various static equipment, including pressure vessels, heat exchangers, and storage tanks. You will lead engineering projects, providing technical expertise and guidance to ensure compliance with regulatory standards and operational efficiency. Your contributions will be essential in enhancing equipment reliability and performance, while also mentoring junior engineers and fostering a culture of excellence within the team. Requirements Bachelor's degree in Mechanical Engineering or a related field; a Master's degree is highly preferred. At least 15 years of relevant experience in static equipment engineering within the oil and gas industry. Strong knowledge of engineering codes and standards such as ASME, API, and NACE, along with practical experience in their application. Proficiency in design and analysis software including PVElite, CEASER, and AutoCAD. Demonstrated ability to manage engineering projects and provide solutions for equipment optimization and reliability. Exceptional problem-solving and analytical skills, with a focus on innovation in engineering practices. Excellent communication skills and ability to work effectively in a team-oriented environment. Fluency in English is mandatory; Arabic proficiency is an advantage. Commitment to upholding health, safety, and environmental standards. Experience in mentoring and developing less experienced engineers is highly valued.

Location: Tokyo, Japan 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 an Enterprise Account Executive, System Integrators based in Tokyo, you'll be the critical link between Anthropic and Japan's leading system integrator ecosystem. You'll build and deepen strategic partnerships with major SIers — enabling them to confidently sell, implement, and support Anthropic's AI solutions within their own client portfolios. This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises. Key responsibilities Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers — including firms across IT consulting, systems integration, and managed services practices Lead strategic engagement with senior SIer leadership — including practice heads, solution architects, pre-sales directors, and partner managers — building the technical confidence and commercial alignment needed to close enterprise deals Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle Preferred qualifications 8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector A deep understanding of how Japan's SIer ecosystem operates — including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients A track record of building high-trust, mutually beneficial relationships with SIer organizations, driving consistent revenue through channel partnerships rather than direct sales alone Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments — balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives Proven experience developing and executing partner enablement programs — including technical training, sales toolkits, and co-marketing initiatives — that meaningfully increase a partner's ability to sell and deliver A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to evaluating and prioritizing SIer partnerships combined with patient, relationship-focused execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Japanese and English What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: remote Contract type: Freelance Hourly rate: $20.30 Language: English (US) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   If you're someone who: Notices when recommendations actually make sense Thinks critically about usefulness, intent, and context Cares about accuracy in digital experiences This project is built for you.   What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in the United States. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you . Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported. Job Reference: #LI-CC1

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success. Your responsibilities will include: Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. Creating the datasets, metrics, and pipelines that drive measurable improvements across the system. Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. Establishing MLOps practices, including orchestration, observability, and experiment tracking. Collaborating with the engineering team on system design and with JetBrains Research on the research agenda. Defining hiring criteria, growing the ML team, and shaping the ML team culture. We expect you to have: A proven track record as an ML/AI Lead. At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI. A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches. Hands-on experience with: Prompt engineering and LLM pipeline design, including evaluation. Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. Vector databases and retrieval-augmented generation (RAG) patterns. Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. Strong Python skills – Kotlin knowledge would be a plus. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. Proficiency in English, both written and verbal. Our ideal candidate would have: Experience with ontologies, knowledge graphs, or graph-based reasoning. Experience in early-stage startups – you enjoy the zero-to-one phase. The ability to think strategically about product-led AI, beyond just training models in isolation. A background in code analysis, developer tools, or software engineering research. Experience with multi-agent systems or complex agentic workflows. Actively contributed to relevant open-source projects or publications. What we offer A competitive salary and JetBrains benefits. A generous runway and corporate resources with startup autonomy. #LI-KP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Location: Menlo Park Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. Blockstream is seeking a Platform Architect to define and evolve the architectural foundation of our core platforms. This role is responsible for end-to-end system design, ensuring scalability, reliability, security, and developer efficiency across Blockstream’s infrastructure and product ecosystem. You will work closely with engineering, security, product, and leadership to design distributed systems that support high-value financial use cases, while upholding Bitcoin’s core principles of decentralization and trust minimization. What You’ll Be Doing (Responsibilities): - Own the architecture and technical vision for Blockstream’s platform and shared services - Design scalable, secure, and fault-tolerant distributed systems supporting Bitcoin, Layer-2, and enterprise products - Define platform standards for APIs, data models, service boundaries, and infrastructure patterns - Partner with engineering teams to guide implementation, review designs, and resolve complex technical challenges - Collaborate with Security and Infrastructure teams to ensure defense-in-depth, key management, and operational resilience - Evaluate and introduce new technologies while balancing innovation with operational maturity - Ensure platform designs support regulatory, enterprise, and institutional requirements without compromising decentralization principles - Document architectural decisions, tradeoffs, and long-term technical roadmaps - Mentor senior engineers and help raise the overall architectural rigor across teams What We Look For in You (Required Qualifications): - 5+ years of experience designing and operating large-scale platforms or infrastructure systems - 6-8 years of development experience building production-grade backend with strong security boundaries, authentication, authorization, key management, as well as designing APIs, data models, and distributed services that run reliably at scale. - Proven experience as a Platform Architect, Principal Engineer, or Senior Systems Architect - Deep understanding of distributed systems, including consensus, fault tolerance, replication, and networking - Strong experience with cloud and/or hybrid infrastructure (AWS, GCP, bare metal, Kubernetes, Terraform, etc.) - Expertise in security-critical systems, including authentication, authorization, cryptography, and key management - Experience designing high-availability systems for financial or mission-critical applications - Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse stakeholders - Comfort working in a remote, globally distributed team Nice to Have (Preferred Qualifications): - Hands-on experience with Bitcoin, Lightning, Liquid, or blockchain infrastructure - Experience contributing to open-source projects - Familiarity with HSMs, secure enclaves, or hardware-backed key storage - Background in fintech, capital markets, or institutional financial systems - Experience balancing enterprise requirements with decentralized architectures 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. The challenge is in building the right user-facing features and abstractions that make simple application deployments effortless and complex application deployments possible. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building products across the stack and have a keen understanding of databases, web frameworks, APIs, and multiple programming languages. WHAT YOU'LL DO - Build new products. This team owns the customer attraction, onboarding, and billing flows. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render codebase and technology as the product scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Familiarity with modern tooling for software build and deploy processes. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Implement Go-to-Market software for our marketing, sales, and agent development teams - Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation - Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources - Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand - Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models - Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change - Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) WHAT YOU'LL BRING - 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company - Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone - Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time - Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale - Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems - Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel - Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones EVEN BETTER… - Built applications using LLMs, ideally with exposure to production-grade AI/ML systems - Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS - Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: London, United Kingdom; Seoul, South Korea; Tokyo, Japan; Melbourne, Australia; Paris, France Eram Talent is looking for a highly skilled and experienced Sr. Cost Engineer with a background in Project Management Consultancy (PMC) to join our team in Saudi Arabia. As a senior member of the team, you will be responsible for overseeing project cost management activities, ensuring that projects are executed within budgetary constraints while meeting quality and schedule requirements. This role requires a strong understanding of the oil and gas sector, along with exceptional analytical and communication skills. Responsibilities Prepare detailed cost estimates and budgets for large-scale projects. Monitor project financials, analyze variances, and implement corrective actions as needed. Provide expert advice on cost management practices and methodologies to project teams. Collaborate with stakeholders to develop project execution strategies and financial planning. Review and validate contractor invoices, change orders, and claims. Conduct cost-benefit analysis and evaluate project risks and opportunities. Lead cost reporting efforts, delivering comprehensive insights to management and clients. Mentor junior cost engineers and ensure adherence to project standards and best practices. Requirements Bachelor's degree in Engineering, Finance, or a related field. Minimum of 15 years of experience in cost engineering, with significant experience in PMC roles. Deep understanding of cost management principles, including estimating, budgeting, and cost control. Proficiency in cost management software and advanced Excel skills. Strong analytical, problem-solving, and organizational abilities. Excellent verbal and written communication skills. Ability to work collaboratively in a fast-paced environment. Experience in the oil and gas industry is a significant advantage.

Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer with strong Web3 experience to join our engineering team. You are meticulous, technically sharp, and deeply curious about decentralized technologies. You understand the nuances of blockchain interactions, wallet integrations, smart contract behavior, and hybrid on‑chain/off‑chain systems.   You thrive in fast‑paced, agile environments and bring a proactive approach to quality—anticipating risks, validating distributed systems, and ensuring seamless user experiences across Web3‑enabled features. You are confident in manual testing, comfortable with API‑level validation, and eager to integrate AI‑driven testing tools to improve coverage, speed, and defect detection.   If you’re excited to shape quality practices for blockchain‑enabled products and help define how Web3 experiences should feel for millions of users, we’d love to meet you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Core QA Ownership Lead manual testing of complex Web3 and platform features across multiple environments Validate blockchain interactions, wallet flows (e.g., MetaMask, WalletConnect), and decentralized identity/authentication Test smart contract interactions, event handling, and on‑chain/off‑chain data synchronization Drive exploratory, functional, and regression testing using structured documentation and deep product knowledge Identify, log, and track reproducible issues with precision using Jira or similar tools Web3‑Specific Quality Work Verify blockchain node responses, RPC interactions, and event‑driven workflows Validate transaction signing, wallet authentication, and multi‑chain compatibility Collaborate with engineers to test smart contract upgrades, migrations, and versioning Monitor production logs, blockchain explorers, and analytics dashboards to detect anomalies Process & Tooling Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage for Web3 components Evaluate and integrate AI‑powered testing tools (e.g., automated test generation, log analysis, visual regression) Set up and manage test environments, staging pipelines, and job configurations Conduct load, stress, and performance testing—especially around high‑volume Web3 interactions Quality Leadership Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Contribute to best practices for testing decentralized systems and hybrid architectures Qualifications & Skills Required Minimum 7 years of total QA experience , including ownership of end‑to‑end quality At least 2 years of hands‑on Web3 testing experience , covering blockchain integrations, wallet flows, or decentralized systems Strong understanding of manual testing methodologies and defect life cycle Familiarity with blockchain fundamentals (e.g., transactions, gas, confirmations, RPC endpoints) Experience validating APIs using Postman or similar tools Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Comfortable using browser developer tools and basic terminal/command‑line workflows Strong verbal and written English communication skills Familiarity with AI‑powered testing tools (e.g., test case generation, smart prioritization, AI log analysis) Good to Have Good to Have Experience with wallet testing (MetaMask, Coinbase Wallet, WalletConnect, custom wallets) Understanding of smart contracts, Solidity basics, or blockchain debugging tools Experience with automated testing frameworks (Playwright, Cypress, Selenium) Knowledge of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands‑on experience with AI platforms used in QA contexts BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a highly motivated Analyst or Associate to join the Transactional Operations team, with a primary focus on trade reconciliations. This team plays a critical role in supporting the firm’s growing investor base and ensuring a seamless experience across multiple stages of the investor lifecycle. The team supports investors, financial advisors, home office personnel, administrators, and numerous internal parties. This role centers on providing comprehensive operational support around trade reconciliations for feeder funds and direct funds. Responsibilities Review and analyze daily trade reconciliation exceptions generated by a third-party reconciliation provider, ensuring timely evaluation and resolution. Assist in investigating root causes of breaks, determining the correct next steps and ensuring discrepancies are resolved efficiently. Partner with fund administrators, custodians, and third-party service providers to remediate breaks Escalate exceptions promptly when resolution requires additional internal support, cross-functional input, or poses client, financial or operational risk. Monitor and track aging breaks, ensuring open items are resolved. Collaborate with the Technology team to automate and integrate aspects of the process with the platform. Help define and document new workflows, controls and standard operating procedures. Qualifications Bachelor’s degree in a related field 1-5 years of experience in financial services, preferably within a fund administrator or client service role or the alternative investment industry Excellent organizational skills and attention to detail Strong interpersonal, written, and verbal communication skills Able to meet deadlines and work effectively under pressure Proven ability to multi-task and work both independently and as a team player Proficient computer skills, specifically Microsoft Office applications (Word, PowerPoint, Excel) Interest or knowledge in technology Benefits The base salary range for this role is $60,000 to $80,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Dubai, UAE Workplace: remote We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Arabic (UAE) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.   What you’ll do Edit and review machine-translated customer service content with a high level of accuracy and consistency. Evaluate MT output quality and apply severity ratings when required, following project guidelines. Produce high-quality human translations as reference data for model training and quality evaluation. Follow provided style guides, tone rules, and terminology requirements. Identify and report recurring MT quality issues and batch-level trends.   Project details Language: Arabic (UAE) Content type: Customer service content (general) Project duration: Ongoing This role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary. Hourly rate: $22.69 Requirements Native proficiency in Arabic (UAE) and strong English skills Experience in translation, localization, or translation quality review Strong attention to detail and a quality-focused mindset Ability to work independently in an online environment Previous experience working in a TMS is a plus Successful completion of required assessments

Location: Tokyo, Japan 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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Key responsibilities Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Minimum qualifications Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native-level Japanese fluency and business-level English required Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Preferred qualifications 5+ years of relevant experience Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Montreal Workplace: onsite ABOUT YOU   We are looking for a Tech Lead to drive the technical direction, architecture, and delivery of Xsolla’s fraud prevention and risk systems. This role requires deep fintech and payments experience, strong understanding of Anti-Fraud Systems (AFS), and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.   You will work closely with Product, Data Science, Risk Operations, Compliance, and Platform teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Technical Leadership & Architecture Own the technical vision and architecture of Xsolla’s anti-fraud platform and services. Design scalable, resilient systems for real-time transaction risk scoring , rule engines, and decision workflows. Lead architectural decisions around AFS integrations , internal fraud engines, and third-party providers. Ensure systems meet performance, reliability, security, and compliance requirements. Fraud & Fintech Domain Leadership Translate fraud and risk requirements into robust technical solutions. Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.) Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis Balance speed, risk, and quality in a high-impact domain. Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations Mentor senior and mid-level engineers in both technical depth and domain expertise . Act as a technical escalation point for complex fraud-related incidents. Qualifications & Skills: 8+ years of professional software engineering experience, with significant time in fintech or payments . Proven experience designing or leading Anti-Fraud Systems (AFS) , such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar). Experience building high-volume, low-latency distributed systems . Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus) Understanding of fraud patterns, abuse vectors, and mitigation techniques. Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools Proven ability to lead technically without relying solely on formal authority. Strong decision-making skills in ambiguous, high-risk domains. Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders. Comfortable owning outcomes in a mission-critical area. Nice to Have: Experience working with data science or ML-driven fraud models. Knowledge of AML, KYC, or regulatory frameworks. Prior experience in global payment platforms or PSPs. Experience operating systems at global scale (multiple regions, currencies, and regulations) . Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We're at an inflection point for what it means to build for developers and agents. The way engineers discover, integrate, and work with APIs is changing fast, and we're actively building the infrastructure to meet that shift. Developers still integrate WorkOS, but increasingly their agents do it for them. This team owns every way into WorkOS that isn't the dashboard: SDKs in 9 languages, now generated from our API spec; an AI installer CLI that sets up AuthKit in any project; our MCP servers and agent skills; and other not released projects we're building in-house. You'd ship daily with agents as collaborators, and your code goes into other people's apps. The roadmap comes from watching real integrations: friction logs, shared customer Slack channels and telemetry. The goal is that when a developer (or their agent) needs enterprise-ready auth, WorkOS is the easiest path forward regardless of stack, language, or how they're building. What you'll work on - Ship agent tools and skills so developers (and their agents) can integrate WorkOS without friction - Write evaluations to measure whether what you ship actually improves developer outcomes - Talk to customers, surface insights, and translate them into roadmap - Contribute to the architecture and tooling for fully generated, polyglot SDK pipelines — so a change to the API propagates cleanly across all languages - Own and evolve SDKs across our seven supported languages (Node/TypeScript, Python, Ruby, Go, Java, PHP, .NET) and framework libraries like our Next.js, Remix, and TanStack integrations - Build and extend AI-native documentation systems as structured context that makes WorkOS work well in Cursor, Claude, Copilot, and agentic workflows - Represent WorkOS publicly through docs, blog posts, OSS, and occasional conference appearances - Build developer tooling like the WorkOS CLI that make complex integrations feel trivial What we're looking for - 5+ years of software development experience with a real track record of shipping and maintaining SDKs or OSS projects - Deep fluency in at least three of our supported languages; you should have strong opinions about what idiomatic code looks like in each - Experience with or genuine excitement about AI-native tooling: agent SDKs, context engineering, evals, LLM-powered CLIs - Interest in documentation as infrastructure, not just prose - Strong instincts for what makes a developer experience good vs. merely functional - Experience owning projects end-to-end and driving decisions based on customer impact Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA 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 an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including quarterly reports and industry-specific deep dives Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally Develop new methodological approaches for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions Build and maintain relationships with academic institutions, policy think tanks, and other research partners Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Translate research insights into actionable recommendations for both product decisions and policy discussions Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Some Examples of Our Recent Work Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Application Question Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise. Deadline to apply: None. Applications are reviewed on a rolling basis The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.