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Location: Espoo Workplace: Hybrid Role Highlights: - Title: OBC & Comms AIT Engineer - Department: Global Manufacturing Organization - Reports to: AIT Engineering Team Lead - Location: Espoo, Finland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) About the role ICEYE is seeking an AIT Engineer to own the assembly, integration, and testing of on-board computer and communications subsystems at our Espoo headquarters. This is a hands-on technical role for an engineer with strong expertise in complex electronics and SDR-based communications systems, ready to contribute directly to spacecraft production and mission-critical troubleshooting in a fast-paced, high-cadence environment. What you will do - Serve as the primary technical point of contact for all OBC and Comms issues during manufacturing, integration, and testing - Conduct hands-on inspection, verification, and assembly of OBC and Comms subsystems hardware - Identify, contain, and drive root cause analysis of non-conformances; implement corrective actions and close feedback loops into design and production processes - Contribute to OBC and Comms design reviews, production ramp-up planning, and DFM/DFT improvements - Represent AIT Engineering across projects and disciplines, interfacing with design engineers, production leads, and other domain AIT engineers - Apply system-level understanding to anticipate integration risks across subsystem interfaces and ensure mission success - Produce and maintain technical documentation including test procedures, NCRs, and corrective action records What you bring Must have - 5+ years of hands-on experience in the development, integration, testing, or production of complex electronics and communications systems - Deep technical knowledge of electronics engineering and SDR-based communications systems, with system-level understanding across full hardware architectures - Demonstrated experience in multidisciplinary engineering environments, including mentoring engineers and technicians and driving cross-functional collaboration - Strong track record in DFM and DFT in high-reliability hardware environments - Familiarity with integration, verification, configuration management, and production ramp-up processes in complex hardware industries - Proactive, hands-on approach to problem-solving including structured root cause analysis - Continuous improvement mindset, with the ability to drive reliability and repeatability as production volumes scale - Ability to manage multiple projects and priorities simultaneously - Strong written and spoken English communication skills - Experience writing clear, traceable technical documentation Nice to have - Experience with issue tracking and configuration management tools - Familiarity with Python or AI-assisted tools for productivity and test automation - Rapid ability to structure and synthesize complex technical information and communicate conclusions clearly - Resilience and sustained motivation in high-pressure production environments - Transparency, humility, and an active growth mindset   Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team + Director-level Interview - Offer Decision What We Offer at ICEYE At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, well-being, and success are a priority. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a ICEYE is a place where your contributions have a visible impact and where we celebrate success together.   Benefits - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Time for self-development, research, training, conferences, or certification schemes - Health insurance - Creative, inspiring and collaborative office Our Commitment to Diversity, Equity, and Inclusion At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset. We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences. Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger. We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Location: New York; San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-making. - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs. - Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR). - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability. - Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem. - Structure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detection. WHAT YOU HAVE - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. - Deep expertise in SQL, dbt, Python, Snowflake. - Experience with modern BI tools like (Looker/Omni, or similar). - Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems. - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions. - Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholders. - Comfortable working through ambiguity in fast-moving, cross-functional environments. - Balances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quickly. - Experience modeling financial, billing, subscription, CRM, or usage-based revenue data. - Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition. BONUS - Early employee at a hyper-growth startup - Experience with or knowledge of AI and LLMs - Data Engineering Experience - Experience managing data warehouse (preferably Snowflake) - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) COMPENSATION $155,000 - $235,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products. WHAT YOU'LL DO - Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment. - Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations. - Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences. - Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers. - Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services. - Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end. - Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership. - Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows. - Participate in code reviews, technical design discussions, and an on-call rotation for the services you own. WHAT YOU HAVE - 10+ years of backend engineering experience building and operating production web applications or SaaS products. - Track record of building fast-growing SaaS products by leveraging PWA technologies - Track record of shipping highly intuitive products, strong attention to detail - Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask). - Hands-on experience with relational databases (e.g., Postgres) - Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling. - Experience building for Cloud Infrastructure such as Azure, AWS, or GCP. - Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.. #LI-DM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Workplace: Remote About the role This role will be the first BD and Growth hire at Whetstone Research. Responsibilities 1. Lead institutional growth for Doppler http://doppler.lol - sales, BD, and the strategic relationships that turn warm intros into bespoke production deployments 2. Build Whetstone's institutional surface: funds, asset managers, banks, fintechs, and corporates that want to bring or use assets onchain. 3. Be the translation layer between institutional buyers and our protocol teams - feeding product, integration, and regulatory signals back so we build what the market actually needs 4. Help us know what we don't know. Which institutional segments are shipping next, which are noise, and where should we be skating to? What we're looking for We believe that the time for Institutions to come onchain is here. After a decade of whitepapers and pilots, institutions are finally getting serious. BlackRock, Apollo, Franklin Templeton, JPM, Fidelity, and dozens of others have moved from "exploring" to live deployments. Within the next 24 months many of these organizations will decide which protocols and infra the billions or even trillions behind them actually settle on. We want someone who already lives at that intersection and wants to own Doppler's seat at the table. You probably have a warm rolodex inside one or more of: the digital assets desks at major banks (JPM, GS, BNY, Citi), crypto-native institutional players (Fidelity Digital Assets, Galaxy, BitGo, Anchorage, Coinbase Institutional), the tokenization teams at TradFi asset managers (Apollo, Hamilton Lane, Franklin Templeton, WisdomTree), or the new infra layer (Securitize, Ondo, Superstate, Figure). You understand why Doppler's novel approach to protocol design matters to a treasurer thinking about a tokenized bond just as much as to a coin launch on Zora - and ideally, you can hold a credible conversation about settlement risk with a CIO in the morning and MEV with a protocol team in the afternoon. Even better if you've previously built an institutional book from zero at another crypto-native company, or led the digital assets push inside a TradFi institution and are now ready to do it onchain for real. You're comfortable being a player-coach for the first 6 months - running the meetings, writing the memos, closing the deals yourself - before building the team around you. Generally, we hope that you love this industry as much as we do, that you've been watching tokenization mature long enough to know the difference between the real deals and the theater, and that you're as terminally online as we are. About Whetstone Research Whetstone Research is focused on designing and building new protocols that accelerate the future of onchain markets. The team is less than 15 people with deep hands on experience in the blockchain industry; previously at Uniswap, AAVE, Aztec, Hedera, and other household big tech names like Google, Amazon, or LinkedIn. We build Doppler - custom market infrastructure for new asset classes. Doppler has created over 14 million new digital assets that have done over $2 billion in lifetime trading volume. Let's build the future of onchain markets together.

Location: Mexico City We are looking for a Balance Sheet Management Lead [Market & Solvency Risk] for our ALM & Treasury Team — a key role at the intersection of balance sheet management, regulatory capital, and market risk. As we continue to scale as a licensed bank, you will help shape our ALM framework, strengthen capital planning processes, and drive the development of risk management models that support sustainable growth. This role offers the opportunity to work on complex balance sheet challenges, influence strategic decision-making, and collaborate closely with Treasury, Risk, Finance, and Product teams in a fast-paced fintech environment. Challenges that await you: Design, enhance, and optimize ALM (Asset-Liability Management) models for FX risk, IRRBB, ensuring alignment with evolving regulatory and market standards Play pivotal role in regulatory capital adequacy planning process (ICAP), counterparty large exposures management, as well as in quantifying and hedging FX & interest rate risks Lead the implementation and automation of regulatory reporting (ACLME), ensuring compliance with Mexican financial regulations and Basel III/IV frameworks Enhance internal ALM processes by identifying gaps, proposing automation solutions, and integrating cutting-edge financial technologies Act as a subject matter expert (SME) by communicating ALM agenda to cross-functional stakeholders and methodological guidance to junior team members Collaborate with Treasury Front and Back offices, Capital markets, FP&A, Accounting, Risk management, product teams and IT tribes to ensure data integrity, model accuracy, and regulatory adherence What makes you a great fit: Fluent in English with strong communication skills for technical reporting and stakeholder engagement 5+ years of experience in bank Treasury, ALM, risk management, or financial modeling Degree in STEM, Economics, or Finance Deep knowledge of financial instruments (structure, profitability, valuation) Strong quantitative and programming skills, including advanced proficiency in Excel (macros, VBA), SQL, and Python for data analysis and model development is a plus Proven ability to take ownership of tasks, ready to roll up your sleeves, act independently and work collaboratively in a high-paced, analytical environment 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 Mexico 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

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We are looking for an experienced and ambitious Senior Sales Manager to lead our Continental Europe sales organisation. This is a critical leadership role responsible for driving revenue growth, developing high-performing sales talent, and executing our go-to-market strategy across key European markets. You will lead a team of Account Executives focused on acquiring and expanding relationships with mid-market and enterprise customers. The ideal candidate combines strong commercial leadership with operational excellence, coaching capability, and a passion for building winning sales cultures in fast-paced SaaS environments. What will I be doing? Business fluency in French or German required Lead, coach, and develop a team of Account Executives across Continental Europe Drive consistent pipeline generation, forecast accuracy, and revenue performance Support reps through complex commercial negotiations and multi-stakeholder sales cycles Build a culture of accountability, performance, and continuous improvement Partner cross-functionally with Marketing, Customer Success, Solutions Engineering, and Partnerships teams Recruit, onboard, and develop top sales talent Monitor key sales metrics and identify opportunities to improve execution and conversion rates Contribute to regional go-to-market planning and execution Ensure operational discipline across forecasting, CRM hygiene, and sales processes What skills do I need? Significant experience leading successful SaaS sales teams Proven track record of delivering and exceeding revenue targets Strong people leadership and coaching capabilities Experience managing complex B2B sales cycles Strong commercial acumen and forecasting discipline Ability to operate effectively across multiple European markets and cultures Excellent communication, stakeholder management, and leadership skills Experience working in high-growth or scaling technology businesses is preferred Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Developer Platform product team and a strategic thought partner to its product leads. You’ll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You’ll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Developer Platform, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners, including go-to-market teams Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment for developer and B2B products, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 — $460,000 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. 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: Remote Workplace: Remote HyperHug is an international game development studio specializing in the shooter genre. Our main office is based in Cyprus, but our talented team works remotely from around the world. We’re developing Oxide: Survival Island, an immersive multiplayer survival shooter for mobile platforms, and we’re always looking for motivated individuals who want to grow with us, contribute their creativity, and help shape the future of our games. We are seeking an experienced Senior Unity Developer to join our team and contribute to the development and evolution of our flagship game, Oxide: Survival Island. If you know Unity inside and out, including URP and rendering pipelines, you love digging into performance optimization, enjoy working with Addressables, shaders, and multiplayer systems, and eager to help build something meaningful from the ground up — we want to talk to you. This role stays open on an ongoing basis because we’re always interested in meeting exceptional Unity Developers who can make a real impact on the project. WHAT YOU’LL BE DOING - Design, develop, and maintain core gameplay systems and multiplayer features using Unity and C#. - Work with URP-based rendering, shaders, and visual effects with a strong focus on performance and visual quality on mobile devices. - Integrate Unity Addressables for scalable and dynamic UI content. - Profile and optimize game performance: CPU/GPU usage, memory, loading times, and frame stability. - Support LiveOps and seasonal updates by delivering new features, systems, and technical improvements. - Collaborate closely with game designers, artists, and other engineers to turn game concepts into robust, scalable implementations. WHAT WE EXPECT FROM YOU: - 8+ years of experience in Unity development. - Experience working with synchronous multiplayer systems (within the past 2 years). - Deep understanding of URP and Unity rendering workflows. - Experience designing and implementing game mechanics and UI systems. - Shader experience (Shader Graph or HLSL). - Strong C# skills and experience with performance optimization. - Collaborative mindset and great communication skills. - Passion for games and crafting thoughtful user experiences. - Russian language proficiency at C1 level or higher. WHAT WE OFFER: - Competitive salary. - Remote work option or relocation to Cyprus, with full company support including visa and housing assistance. - The chance to shape and influence an ambitious multiplayer survival shooter for mobile platforms. - A strong, supportive team passionate about creating great games. - A flexible work environment. - Opportunities for professional growth. - A culture that values creativity, initiative, and collaboration.

Location: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Backend Developer (.NET) to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Backend Developer (.NET) will have the opportunity to: Design, develop and support backend services with a focus on integrations with other systems, services. Support and improve our quality processes by developing automated unit tests and performing code reviews. Collaborate with internal/external teams throughout the integration process. Identify, correct bottlenecks and fix bugs. Help maintain code quality, organization, and automatization. Stay up to date with new technology trends, applications, and protocols. What do you need to succeed in this role? Degree in Computer Science, Engineering, or a related field. Good understanding of object-oriented programming and design patterns. 3+ years of software development experience, ideally in C#. Ability to assess, troubleshoot and debug integration issues. Good understanding of code versioning tools. Excellent analytical, and problem-solving skills. Proficient in English language with excellent written and verbal communication skills. It will be considered as a plus if you have: Experience working in cloud infrastructures like AWS or Azure. Understanding of CI/CD, unit testing, integration testing. Experience with Relational Database Management Systems. Experience within the financial markets Industry on a similar IT field. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Test assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an experienced Senior Ingentis Consultant to join our team. In this role, you will leverage your deep knowledge of Ingentis solutions to help clients design, implement, and optimize organizational and HR management systems. You will collaborate closely with clients to understand their needs and provide tailored consulting services that enhance their operational efficiency and data management. Key Responsibilities: Engage with clients to gather business requirements and translate them into effective Ingentis solutions. Design, configure, and implement Ingentis software to meet client-specific organizational and HR needs. Provide expert guidance on best practices regarding organizational visualization, process optimization, and data integration. Lead workshops and training sessions to empower client teams in using Ingentis tools efficiently. Collaborate with technical teams during system integration and testing phases. Maintain documentation related to consulting engagements, system configurations, and project progress. Stay updated with the latest Ingentis product features and industry trends to continuously improve client solutions. Requirements Requirements: Bachelor's degree in Business Administration, Human Resources, Information Technology, or related field. Minimum of 5 years of experience working with Ingentis solutions in a consulting capacity. Strong understanding of organizational management, HR processes, and data visualization techniques. Proven track record in configuring and deploying Ingentis software tailored to client requirements. Excellent communication, presentation, and client engagement skills. Ability to manage multiple projects and deadlines effectively. Experience conducting workshops and training sessions for various client audiences. Relevant Ingentis certifications or training is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Global | Remote; Argentina (Remote); Poland (Remote); Mexico (Remote); Taiwan (Remote); United Arab Emirates (remote) Workplace: Remote Location: Global: Europe, Asia-Pac, Argentina, Mexico Department: Production (Applied AI) Reports to: Program Director Rate: $20 per hour We are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists. If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you KEY RESPONSIBILITIES 1. PROJECT MANAGEMENT - End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis. - Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing). 2. QUALITY ASSURANCE & PERFORMANCE MONITORING - KPI Tracking: rigorously monitor and report on key performance indicators, including: - Throughput: Volume of data processed per hour/day. - Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance. - Productivity: Cost-per-task and worker efficiency rates. - Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools. - Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time. 3. STAKEHOLDER MANAGEMENT - Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy. - Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams. Translate technical requirements into clear, actionable guidelines for non-technical annotators. - Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies. QUALIFICATIONS ESSENTIAL SKILLS & EXPERIENCE - Experience: 3-5+ years of project management experience, specifically within AI/ML data operations. - LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming). - Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data. - Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows. - Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences. PREFERRED QUALIFICATIONS (NICE TO HAVES) - Multilingual: Fluency in a second language is highly desirable. - Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira). - Education: Background in ML Engineering, Computer Science, Data Science and Project Management training. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. Responsibilities Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code You may be a good fit if you Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers Have been the person an enterprise customer knows by name and reaches for first when they need technical help Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the escalation cord Enjoy building trust and collaborating closely with go-to-market partners (Sales, CS, Applied AI) without owning the commercial relationship yourself Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook Are excited about Anthropic's products and the opportunity to shape how the world's largest companies get support for them Strong candidates may also have SQL proficiency for querying logs and usage data to investigate issues Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, prompt engineering patterns, and current limitations Familiarity with enterprise networking concepts, cloud infrastructure (AWS, GCP), and IT environments Experience working inside a customer's shared Slack or similar embedded-support model Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company 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: $210,000 — $250,000 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. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances. Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. About Anthropic: Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities: Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs. Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively. Coach and support your reports to understand and pursue their professional growth. Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth. You may be a good fit if you: Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well. Are an experienced manager (at least 2 years) and actively enjoy people management. Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective. Strong candidates may also have: Experience working with research teams, especially as part of a “research to production” pipeline Strong people management experience: Coaching, performance evaluation, mentorship, career development Strong project management skills: Prioritization, communicating across team/org boundaries Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them Deadline to apply: None. Applications will be 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: $405,000 — $850,000 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. 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: Salt Lake City, Utah, United States iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions. Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights. Responsibilities Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making. Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem. Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business. Qualifications 6-10 years of professional experience in a data engineering or data-driven software engineering role Exceptional Python and SQL skills Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.) Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub) Experience developing and deploying code to Cloud environments (AWS, GCP, Azure) Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code Experience leveraging stream processing frameworks (Kafka, Flink, Spark) Knowledge of infrastructure-as-code frameworks (terraform or cloud formation) Detail-oriented and able to multitask and work in a fast-paced environment Able to work independently while also being a strong team player Excellent written and verbal communication Passionate about learning and mastering cutting-edge technologies Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred Knowledge of financial markets and financial instruments is preferred Benefits The base salary range for this role is $100,000 to $135,000.  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: Europe About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Get Paid to Review Car Damage Photos — Flexible, Remote, Freelance Work Looking for a flexible way to earn extra money on the side? We're hiring freelance contractors to work on a photo review project for a leading European insurance company — and you can do it from anywhere in the EU, on your own schedule. What you'll be doing: Reviewing photos of damaged vehicles and marking the affected areas — things like scratches, dents, cracks, and missing parts — and identifying which part of the car is involved (door, bumper, hood, fender, etc.). Your work directly helps insurance customers receive faster, fairer damage assessments. Full training is provided through clear written guidelines with visual examples. This is a great fit if you have a background in: Auto insurance claims or appraisal Auto body or mechanic work Car dealership or parts experience Any field where identifying vehicle damage and parts is second nature The details: Must be based in the EU 100% remote, work at your own pace Pays roughly €11/hour Project volume is expected to be substantial, with strong potential for increased workload and extended project duration as things scale Freelance/contract work — perfect for picking up extra cash on the side