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Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. WHAT YOU’LL DO - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward WHAT YOU’LL NEED - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong backend engineers who love building developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. YOU MAY BE A FIT IF: - You’ve built and shipped modern web applications end-to-end - You’re comfortable working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics - You have deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes and training and inference for large language models (LLMs) and diffusion models - You have experience with at least one of the following: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training workloads - You have strong product instincts and think about customer problems, not just tickets - You’re able to participate in our on-call rotation and respond to production incidents - You make good tradeoffs between shipping fast and building for scale - You’re able to work in person in our NYC or SF office

Location: New York City, NY; 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 a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Driven, coachable, and on a steep growth trajectory Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement 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: $380,000 — $450,000 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: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking to bring on a Macro Analyst to join the London based research team. The role will be to work primarily with the Equity teams, however, DRW, as a multi-asset proprietary trading firm, provides the opportunity to collaborate in a wide range of products as well.  The goal is to work with trading teams to provide insight into Delta 1 and volatility pricing as well as the structuring of trades.  As a Macro Analyst, you will be responsible for understanding the current environment and market drivers and translating that into a forward-looking view.  We are looking for a results driven individual who enjoys the challenge of understanding a situation in a much greater level of detail than anyone else in the market.  In addition to providing daily research updates and real-time coverage for the traders, this role will be an opportunity to build a scalable process which can extend to sectors, indices, and cross asset coverage.  Another responsibility will be liaising with external data vendors to evaluate their products and working with software developers to implement a suitable database on which trade ideas can be generated.  Understanding the impact of events on derivatives markets will be a key driver of success.  This is a rare opportunity to be in a research role where ideas can be translated into trades quickly and efficiently and a chance to be associated with the resulting revenue stream. Responsibilities: Provide real-time analysis on relevant macro stories and headlines Work with traders to structure trades around the research process output Develop sector wide themes and macroeconomic thesis Maintain dividend and earnings calendars Create implied probability distributions around important events Work with Software Engineers to develop automated web scrapers and other data analytics tools Manage external relationships with investor relations teams, sell side research desks and data vendors Engage with the DRW hiring process in order to help build out the team Requirements: Strong understanding of financial markets and global macro themes Extreme attention to detail and accuracy Strong understanding of descriptive statistics Coding capability in R , Python, Matlab or similar statistical language Ability to synthesize qualitative and sometimes messy quantitative information, from often disparate and incomplete sources Experience working with large data sets Understanding of options pricing and greeks Confident communicator For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. ABOUT THE ROLE We are hiring a mid-level Data Engineer for our team.   Become a part of a team of data specialists who take care of massive amounts of data and groundbreaking technologies. Your work will be driving and empowering efficient and successful decentralised domain data ownership and data consumption, for example, around car pricing intelligence or deliveries. When needed, you can participate in the evolution and optimisation of our data stack, helping domains to ingest, process and consume data across the company. You will also play an active role in driving our agentic evolution roadmap. While being part of a central team of data engineers across Portugal, Poland and Spain, you will be embedded in cross-functional packs on a rotational basis. You will work closely with product managers, software engineers, product analysts, data scientists and regional business partners to identify and design new data projects and guide them through successful delivery and validation from end to end. What you will be doing: Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models Build, maintain, and improve rock-solid data pipelines using a broad range of technologies Support teams without data engineers in building decentralised data solutions and product integrations. Build data pipelines in our Lakehouse using Medallion architecture. Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation Cooperate with product teams to look for opportunities to integrate data into our end products and streamline source data so that data is cleaner earlier in the process Follow and promote data mesh principles around decentralised data ownership and ‘data as a product’ Promote and uphold privacy-by-design principles, ensuring sensitive data is managed in strict compliance with established security and privacy standards Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers) Help advance agentic systems tailored for data engineering through the creation of specialized skills and agents. Who we are looking for: +2 years of experience building complex data pipelines and working with both technical and business stakeholders. Ability to think creatively; highly driven and self-motivated Master of SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code. Familiarity with Medallion architecture. Experience with designing for scale and data growth in terms of storage and performance Business and product understanding (why over what) and the ability to deal with ambiguity Consistent track record of successful data projects delivered and managing their lifecycle Potential to build rock-solid Python applications - writes understandable and maintainable code Experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Spark, Trino, Iceberg, Airflow. Knowledge and curiosity about other big data technologies and tools Experience with analytics teams and translating business terms and KPI to technical requirements Experience with defining and measuring data quality such as Monte Carlo or Great Expectations. Familiarity with Claude Code and/or Cursor, skills and AI agents Excellent written and verbal proficiency in English Based in Poland Our hiring process: Recruiter Interview Hiring Manager Interview Technical Interview Our benefits: Permanent contract (we are not offering a B2B option) Salary + annual bonus up to 15% of your annual gross salary IP Rights’ Costs (tax-deductible costs up to 70%) Work with and impact all OLX websites across Europe Train and conference budget A benefits package with 330 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more 100% remote work (and the possibility to work from our offices in Poznan and Warsaw) Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: India HeadSpin, a PartnerOne company, is an AI-powered testing platform that enables real-world testing on SIM-enabled mobile devices, browsers, Smart TVs, and OTT devices across 50+ global locations, with flexible cloud and on-premises deployment options. It offers deep performance insights through AI-driven analytics, 130+ built-in KPIs, session-based data, and features like waterfall UI, root cause analysis, UX monitoring, and regression intelligence. Supporting 60+ automation frameworks, including Appium, Selenium, Playwright, and XCUITest, HeadSpin ensures seamless integration without vendor lock-in. With enterprise-grade security, a robust REST API library, and no need for SDK or code changes, it simplifies testing across workflows. Businesses using HeadSpin report 68% less QA time, 90% fewer production issues, 30% faster development, and improved load times and user retention. ‍ About the Role You will create scripts using Appium, and Selenium using Python/java. You will become Appium Pro certified and work with top-tier customers.  You must enjoy testing mobile UIs and automating them in both Android and iOS. What You'll Do Write automation code for mobile applications Capture data and complete analysis on mobile applications Create dashboards with the data captured and provide it to the customer Assist customer with automation where applicable Understanding of iOS and Android applications and UI structure and building tooling to automate interactions Deep knowledge of Appium and Appium Desktop internals A working understanding of mobile frameworks like Espresso and XCTest Developing/evolving production-grade web services and agents written in Python and Tornado Being a member of a highly motivated team pushing all the boundaries in the mobile testing space Maintain automation test framework to ensure continuous quality of products Maintain existing testing codebases Collaborate with software engineers and testers to develop rigorous test cases Identify, record, document thoroughly and track bugs Ensure the quality of all code and products produced by the company Help customers get the best value out of Headspin Performs other duties as required ‍ What You Need BS in Software Engineering, Computer Science or a similar field 0-2 years of hands-on experience in software development or SQA Self-motivated, creative, focused, results-oriented, problem solver In-depth knowledge of at least one programming language (Python, Java) Strong skill set with MySQL or other databases. Ability to read & write SQL queries Good with Linux/Unix environment Strong knowledge of software QA methodologies, tools and processes General knowledge of Appium (mobile automation tool) or Selenium (web automation tool) Proficiency with automation testing tools Strong verbal and written communication abilities Android and or iOS development Agile / Scrum Experience Strong troubleshooting skills Ability to collaborate with engineers and content creators

Location: Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The successful candidate will have a Computer Science degree or equivalent and possess in-depth knowledge and experience in developing with C++. A strong background in Linux / C++ low latency optimizations is a must. A background in Linux kernel, FPGA, and network card offloading will also be advantageous. Your future role within QRT The successful applicant will be a key member of the Low Latency Development team, building and enhancing trading systems for QRT. The role will cover design, development, validation, deployment, and production support of QRT's trading system constellation of market data handlers, trading gateways, trading platforms, and other systems surrounding it. Your present skillset 5+ years of experience in low latency Linux development using C/C++, STL, Boost. Experience designing and implementing multithreaded and distributed systems. Experience in a front-office trading desk-aligned role is an advantage. Good knowledge of distributed network architecture. Familiar with C++ optimization techniques. Familiar with the Linux / GCC development toolchain. Knowledge of market data feed handlers and execution gateways is highly desirable. Team player. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

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: As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. 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: $200,000 — $320,000 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: Melbourne, Florida, United States; Phoenix, Arizona, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. About Melbourne: Our headquarters is located in Melbourne, Florida, a vibrant city on the Space Coast where high-tech innovation meets coastal living. Here, you’ll work on dynamic, impactful projects while enjoying front-row views of rocket launches from our rooftop and quick access to some of Florida’s most beautiful beaches. Just an hour from world-class attractions like Disney World and Universal Studios, Melbourne offers the perfect balance of career growth, family life, and fun, all in a warm subtropical climate with a relaxed, suburban feel. Overview We’re looking for a Senior Semiconductor Process Piping Engineer to join our team in either our Melbourne, FL or Tempe, AZ office. Melbourne is located on Florida’s Space Coast, home to NASA’s Kennedy Space Center and Cape Canaveral Space Force Station, and offers beautiful beaches, quaint downtown shopping, dining and nightlife, and A-rated schools. Tempe is part of the Greater Phoenix metro area and offers a vibrant mix of dining, entertainment, outdoor recreation, and access to one of the nation’s fastest-growing technology and semiconductor hubs. BRPH is a technically focused, creative architecture, design, engineering, construction services, and mission solutions firm providing innovative solutions to mission-driven clients in the aerospace, defense, education, manufacturing, commercial, entertainment, and hospitality market sectors. Founded in 1964, BRPH is consistently ranked among the nation’s top firms and has completed a wide range of projects across the United States and throughout the world. As a Senior Semiconductor Process Piping Engineer, you will lead the design and delivery of piping systems for semiconductor manufacturing and support facilities. This includes (but is not limited to) engineering, sizing, and specification of semiconductor process and utility distribution systems and components such as gas cabinets, valve manifold boxes and panels (VMBs and VMPs), valve panels at tools, automatic and manual changeovers, pressure control stations, regulators, mass flow controllers, control valves, filters and purifiers, vacuum distribution interfaces, pumps, heat exchangers, vaporizers, dryers, separators, knockout tanks, accumulators, surge bottles, pressure relief devices, purge and vent systems, abatement interfaces, distribution headers and manifolds, and tie-ins to vendor skids. It also includes selecting instrumentation and controls such as pressure, temperature, flow, and level instruments, transmitters and switches, gauges, analyzers, leak detection, valve positioners, alarms, and shutdown and interlock devices, and documenting these selections on PFDs, P&IDs, equipment datasheets, and drawings. To be successful in this role, you must be able to translate Owner requirements into design reality and communicate the design through engineering drawings and specifications while following all pertinent codes, client standards, and regulations. Critical thinking and analytical skills are a must. Teamwork and coordination with other disciplines is essential to a complete design. This position also values candidates who have experience building and maintaining client relationships, leading technical discussions, supporting pursuits, and serving as a trusted interface with owners and stakeholders. On a typical day, you will work in CAD programs such as Revit and Inventor for 3D design. AFT Arrow and AFT Fathom are often used for analysis, along with hand calculations. You will also support budget performance, manage team hours, work closely with Project Managers, and serve as the technical interface with clients, leading page turns, design reviews, and participating in client meetings. You will be expected to provide project management and engineering leadership for semiconductor piping design efforts and drive projects to successful delivery. If you’re interested in this role but don’t meet every preferred qualification, we still want to hear from you. We value relevant experience, strong fundamentals, and a willingness to learn. If you’re looking to take your career to the next level, work with a talented team of professionals who love what they do, enjoy a flexible work schedule, and share in the profits of our 100 percent employee-owned firm, BRPH might be a great fit for you. For a complete job description, please visit BRPH.com and submit your resume. Job Responsibilities Project Leadership and Execution Take semiconductor process mechanical and piping projects from inception to closeout with minimal oversight, including understanding and or developing the project scope, fee, and schedule. Provide project management and project engineering leadership and coordinate technical execution across internal teams and external stakeholders. Make decisions independently on engineering problems and methods and represent the company to resolve important questions and to plan and coordinate work. Monitor project budgets and maintain overall responsibility for profitability, schedules, timely completion, and quality of assigned projects. Build and maintain strong client relationships, serve as a primary technical point of contact, and support business development activities. Assist the National Practice Leader with forecasting workload and resources for assigned projects and or department. Develop engineering proposals and agreements in conjunction with the National Practice Leader. Engineering Design and Technical Delivery Apply intensive and diversified knowledge of engineering principles and practices across broad assignments and related fields. Lead the design of semiconductor process and utility piping systems, including high purity gases, bulk specialty gases, ultrapure water, process cooling water and chilled water, vacuum, compressed dry air, chemical distribution, waste and drain, and abatement interfaces. Develop and maintain design deliverables including basis of design, equipment lists, line lists, PFDs, P&IDs, system narratives, and project specifications. Perform engineering calculations and sizing to support design, including pressure drop, flow capacity, utility demand, and component sizing for regulators, control valves, mass flow controllers, filters, heat exchangers, pumps, and relief devices. Select and specify equipment and components such as gas cabinets, VMBs and VMPs, valve panels at tools, changeovers, pressure control stations, filters and purifiers, pump and chemical delivery skids, vent and purge components, abatement interfaces, relief devices, and associated instrumentation and controls. Demonstrate strong knowledge of compressible and incompressible flow, thermodynamics, material compatibility, and corrosion considerations relevant to semiconductor service. Prepare reports, construction specifications, engineering drawings, construction and design schedules, construction cost estimates, and discipline man-hour fee estimates. Perform computer-aided design drafting to produce routine final drawings using the latest version of Revit to produce designs into working drawings. Research discipline-related code issues and present interpretations. Provide coordination of all applicable project discipline drawings and specifications. Codes, Standards, and Constructability Work with and apply relevant codes, standards, and client requirements applicable to semiconductor facilities, which may include NFPA 55, ASME B31.3, ASME BPVC Section VIII, API 520 and API 521 as applicable, and SEMI standards such as SEMI E49 and SEMI F19. Coordinate with and help resolve conflicts with other disciplines based on an excellent understanding of the design process. Be responsible for preparation of project construction specifications and review of shop drawings, submittals, and RFIs. Construction Administration Visit construction sites to review, monitor, and report progress. Perform construction administration duties such as shop drawing review, attending construction site meetings, answering RFIs, preparing supplemental instructions and proposal requests, writing status reports, etc. Mentorship and Team Leadership Manage the productivity of junior engineers and designers assigned. Assist in supervising, coordinating, and checking the work, as well as instructing, leading, and mentoring Engineer Levels I, II, III, and IV, and Designers and Drafters. Promote communication, cooperation, and quality among staff. Should be active in professional trade organizations. Tools and Software Proficiency Must be proficient in the use of: Microsoft Windows, Excel, Word, PowerPoint, and Bluebeam Autodesk Revit, Autodesk Inventor, or other 3D modeling package AFT Arrow and AFT Fathom Qualifications Education and/or Experience Minimum of seven years of experience in semiconductor process piping design and project engineering and/or project management, including direct client interaction and coordination. Proficiency in Word, Excel, and PowerPoint. Proficiency in Bluebeam Revu or other PDF editing package. Excellent oral and written communication skills. EIT/FE and PE licensure are not required at hire; candidates must demonstrate the desire and ability to obtain EIT/FE (as applicable) and pursue Professional Engineer (PE) licensure. Familiar with ASME B31.3 and ASME BPVC Section VIII. Basic-level knowledge of Autodesk Revit or other 3D modeling software with desire to learn Revit. Basic-level knowledge of Autodesk Inventor or other 3D modeling software. Preferred Experience and Qualifications Semiconductor experience supporting fabrication facilities, sub-fabs, and central utility buildings, including tool hook-up interface requirements. Familiarity with high purity gas distribution practices, orbital welding requirements, cleanliness protocols, and material selection for high purity service. Basic-level knowledge of CAESAR II or other pipe stress analysis software. Advanced-level knowledge of AFT flow analysis software. Proficient with Autodesk Revit. Proficient with Autodesk Inventor or other 3D modeling software. Physical Requirements Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Location: London, United Kingdom Workplace: none Role: Student Success Team Manager Reporting to: Director of Student Success Direct reports: Student Success Tutors Location: London College of Contemporary Arts (LCCA) - Tower Hill & Aldgate - Cross Campus Salary: Competitive Role Summary London College of Contemporary Arts (LCCA) delivers industry-focused higher education across creative and professional disciplines, built on a progressive, student-centred learning and teaching methodology. The Student Success Team Manager leads and oversees the Student Success Tutor (SST) team, ensuring consistent, high-quality academic support across campuses throughout the student journey. A core focus of the role is data-driven decision making: interpreting engagement, attendance, assessment, and outcomes data to prioritise intervention, target team resource, and evidence impact on retention and achievement. You will be an experienced, people-focused leader who champions LCCA’s philosophy of experiential teaching, chunked learning, deliberate reflection, and precise feedback — turning insight into action and empowering a diverse team of tutors to help every learner achieve their full potential. Key responsibilities Leadership & Team Management Lead, supervise, and allocate the SST team across campuses, programmes, and levels of study. Set and review team and individual objectives through regular one-to-ones, appraisals, and performance management. Recruit, induct, train, and develop SST staff (including probation), and plan and deliver ongoing CPD. Act as first escalation point for complex academic cases and deputise for the Director of Student Success as required. Academic Support & Delivery Oversight Maintain current knowledge of LCCA courses and oversee 1:1 support, workshops, group sessions, and proactive engagement. Ensure SST guidance aligns with curriculum requirements, assessment frameworks, and learning outcomes. Set service standards for personal academic tutoring, SMART goal setting, and early intervention. Coordinate classroom cover and provide direct academic support where required. Data, Insight & Decision-Making Own the SST team’s use of engagement, attendance, assessment, and progression data to identify at-risk students and prioritise intervention. Translate data into decisions — targeting team resource, shaping workshops, and allocating support where it will have the greatest impact. Build and maintain dashboards and reports that give the team and senior management timely, actionable insight. Analyse outcomes and awarding gaps to drive service improvement and inform SMT decision-making, evaluating whether interventions worked. Collaboration & Signposting Work with academic, wellbeing, and careers teams to support engagement and progression, signposting to specialist teams as needed. Represent the SST team in cross-departmental meetings, committees, and working groups. Quality, Compliance & Improvement Lead continuous improvement of the SST model in line with institutional priorities and sector best practice. Ensure compliance with academic regulations, safeguarding, equality, and data protection, and completion of mandatory training. Support LCCA’s regulatory commitments: OfS Conditions B1–B3 and E2, and the QAA Quality Code (Student Engagement, Learning and Teaching, Assessment, Enabling Student Achievement). Qualifications & Experience Person Specification Essential : Bachelor’s degree in a relevant discipline. PGCE, QTS, or a recognised teaching / coaching / mentoring qualification (held or working towards). Leading, supervising, or managing staff in an academic or educational support setting. Delivering academic support and developing student success / retention initiatives. Using data and dashboards to monitor performance, target intervention, and produce insight-led reports. Teaching or supporting learners in FE / HE, and delivering staff CPD. Strong understanding of curriculum, levels of study, and assessment in HE. Strong leadership, people-management, and communication skills. Confident analysing data and translating insight into decisions and action. Proficiency with LMS, dashboards, and student data / support systems; commitment to inclusive education and widening participation. Student-centred ‘can-do’ approach; calm and credible under pressure. Evidence-led and analytical, with a commitment to continuous improvement and the values of the Group. Collaborative, inclusive, and proactive. Desirable : Master’s degree in a relevant discipline. Evidence of ongoing CPD (e.g., Advance HE Fellowship). Previous experience within a UK FE / HE institution. Personal academic tutoring and managing complex student cases. Contributing to quality assurance or regulatory compliance (OfS, QAA). Knowledge of the OfS regulatory framework and QAA Quality Code. Understanding of safeguarding and data protection in education. About you Empathetic, student-centred approach with strong commitment to equality, diversity and inclusion. Proactive problem-solver with attention to detail and sound professional judgement. Collaborative team player who can build positive relationships across academic and professional services. Adaptable and resilient with the ability to work effectively in a fast-paced environment. What we offer Competitive salary and pension scheme. Generous annual leave entitlement and access to flexible working arrangements. Professional development opportunities, including training and career progression pathways. Employee wellbeing programmes and access to counselling services. How to apply - application process Please submit a CV and a supporting statement outlining how you meet the essential criteria and your approach to student success. Applications should be made via our online careers portal by the closing date. We are committed to recruiting a diverse workforce and welcome applications from all sections of the community. We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ). Please note we are not a licenced sponsor.

Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About Startups @ Vercel The Vercel Startups org exists to help founders navigate the shift to AI-native development with confidence. Startups move faster than ever—what used to take years now happens in days—and the decisions founders make early can either unlock scale or become long-term constraints. We partner with startups at the critical moments where technical, commercial, and strategic support starts to matter most. We’re a talent-dense team made up of former founders, engineers, and experienced go-to-market operators who bring firsthand experience building, scaling, and supporting modern software companies. Many of us have sat on the other side of the table, making architectural decisions, navigating tradeoffs, and scaling under real constraints, and we bring that perspective into every customer interaction. We operate with a growth mindset and strong shared ownership. We dig deep to understand our customers, work closely across functions as one team, and find ways to win even when the path forward isn’t obvious. Resilience, curiosity, and a willingness to push through hard problems are table stakes here. This is a team for people who want to operate with high trust, high agency, and high impact — alongside peers who care deeply about helping startups succeed. About the role You are an expert in Vercel, you have incredible pattern recognition, and are at the bleeding edge of the tech and tools defining how we live and work. In this role, you'll help startups unlock Vercel's full value from adoption through scaling—building relationships with founders and technical leaders who are making critical architectural decisions. You'll analyze usage patterns to identify expansion opportunities, coordinate cross-functional teams to drive outcomes, and guide teams as they adopt AI-native architectures. By leveraging automation and AI to maximize your impact, you'll help refine early plays into repeatable playbooks that scale across our startup portfolio. If you’re based within commuting distance of our London office, the role includes in-office anchor days. What you'll do Build trusted relationships with founders, developers, and technical leaders by quickly developing deep understanding of their architecture, use cases, and technical constraints Landing new logos, driving early activation, and making Vercel the default choice before competitors get in Driving first activation, earning trust fast, and positioning Vercel as the obvious default stack Focus on pipeline generation, outbound, identifying high-potential startups early Partner with founders and developers as they adopt AI-native features and architectures, helping them understand how Vercel’s Frontend Cloud fits into a rapidly evolving developer ecosystem and supports new workloads, performance requirements, and scaling patterns Use automation, agents, and self-built workflows to operate at high leverage and focus time and energy on the most impactful customer work Operate comfortably in an evolving environment, helping refine early motions and turn what works into repeatable playbooks What you need We’re looking for someone who sits at the intersection of technical curiosity, commercial excellence, and startup mindset. You identify pattern recognition, have founder empathy, and have the ability to speak credibly to pre-seed through Series D companies and beyond who are making fast decisions. You might be a great fit if you’ve developed this skill set through a range of paths—whether as a builder, founder, engineer, or in a technical go-to-market role—and you bring strong judgment, ownership, and curiosity to how you work. In practice, this looks like someone who: Learns complex technical products quickly and enjoys reasoning about how modern web and AI-native applications are built and scaled Can speak comfortably with developers and founders, using their language and earning credibility through insight rather than titles Has strong sales acumen and experience owning revenue outcomes across a range of deal sizes and complexities Believes that the best revenue outcomes come from deeply successful customers, not transactional selling Brings a thoughtful, opinionated point of view on modern web infrastructure, frontend performance, and scaling tradeoffs Thrives in ambiguity and enjoys shaping how a team and motion evolves from early to more structured Is energized by ownership, accountability, and helping customers make smart decisions What This Role Is Not Not a pure Customer Success role focused on reactive support Not a transactional sales role detached from customer outcomes Not a highly scripted role with narrow ownership or predefined motions This role requires judgment, curiosity, and comfort operating across technical, strategic, and commercial dimensions. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Lanham, MD Position Objective: Provides information for diagnosis, treatment, and prevention of disease by preparing tissue samples for microscopic examination by a pathologist. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Creates a work environment that positively promotes process improvement. Explores opportunities to add value to job (innovative ideas) to benefit the organization and taking ownership of the outcome. Proactively finds other work-related tasks during low census. Maintains safe and clean working environment by complying with procedures, rules, and regulations. Follows appropriate protocol for the handling and disposing of histological chemical stains and reagents. Maintains inter- and intradepartmental work flow by fostering a spirit of cooperation (hand offs). Maintains laboratory supplies inventory by checking stock to determine inventory level; anticipating needed supplies; placing and expediting orders for supplies; verifying receipt of supplies. Conserves laboratory resources by using equipment and supplies as needed to accomplish job results. Provides histology information by answering questions and requests. Documents technical information appropriately in the LIS. Performs accessioning, embedding, sectioning, special stains, immunohistochemistry, and frozen sections, with appropriate supervision, if required, and within productivity guidelines with minimal errors. Performs grossing and dissection of small surgical biopsies (if qualified under CLIA regulations). Operates and maintains laboratory instrumentation. Performs preventative maintenance and troubleshoots problems to the full extent of ability. Actively participate in the laboratory quality plan/program (ex. investigative reports, notification of delays, etc.). Performs quality controls and documents QC for each lab procedure on a daily basis and follows up on issues (troubleshoots). Participates in external proficiency testing and in continuing education classes to maintain licensure and remain updated on changes in the histology field. Participate in the training of new staff and students by serving as a mentor and technical resource. Educational/Experience Requirements: Required Minimum Education: Bachelor’s Degree from an accredited college or university with course work sufficient to meet the requirements of the American Society of Clinical Pathology (ASCP) for certification as a Histotechnologist. Required Minimum Experience : One year of experience working in an acute care facility as a Histotechnologist or Histotechnician, preferred. Required License/Certifications: HTL(ASCP); preferred. Knowledge, Skills, Abilities: Ability to work cooperatively with all types of personalities both inside and outside the organization. Working Conditions, Equipment, Physical Demands: Physical Demands – Medium Duty The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Updated 2/27/24 Pay Range $24 — $50 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Data Scientist -  Experimentation & Measurement San Mateo, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You’ll Be Doing: Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. Basic Requirements: Bachelor’s degree or equivalent. 5+ years of experience in a data science experimentation-focused role (3+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL for data extraction and transformation. Proficiency in Python, including statistical and data science libraries. Broad and applied knowledge of statistical techniques and machine learning modeling methods. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $178,900 — $268,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist -  Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Bachelor’s degree or equivalent. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 — $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty. This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.   To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.   What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS -Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset -Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies -Drive adoption of best practices in data governance, observability, and performance tuning for data workloads -Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment -Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response -Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work   What qualifications we’re looking for: -Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming) -Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor -Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines -Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads -Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) -Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools -Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments -Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark) -Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.   #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $167,700-209,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all USD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable. WHAT YOU'LL DO - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features. WHAT YOU'LL BRING - 5+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput or mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) - Strong communication skills, with the ability to collaborate cross-functionally - Customer centricity and ownership mentality Compensation Annual salary range: $180,000- $240,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. SOFTWARE ENGINEER, SECURITY Security Engineering builds the foundations that let Sierra deliver powerful AI agents while protecting customer data and trust. We partner across product and platform to make security, privacy, and safety core product capabilities and secure defaults.   WHAT YOU’LL DO Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust. Design and ship systems that make Sierra’s platform secure by default — spanning agent safety/security, privacy, identity, authentication, authorization, and data security. You’ll work across all layers of production (agents, infrastructure, backend, frontend) to embed security-conscious design into the core of our product. Own Cross-Cutting Systems. Partner with product and platform teams to implement and evolve Sierra’s trust primitives: identity management, access control, auditability, and data lifecycle management. You’ll make pragmatic design trade-offs between usability, performance, and security. Secure Agentic AI Systems. Build controls that ensure AI agents can't leak customer data, execute unauthorized actions, or be manipulated into unintended behavior. Design runtime policy enforcement for tool use, implement safe agent sandboxing, and create boundaries that protect data while keeping agents powerful and useful. Automate and Scale Security-Adjacent Workflows. Create developer-friendly tooling to reduce risk and friction — whether through automating security checks in CI/CD, enforcing privacy boundaries through schema validation, or instrumenting runtime monitoring for sensitive events.   WHAT YOU’LL BRING Strong Software Engineering Skills. Experience building and maintaining production systems. You’re comfortable designing APIs, integrating with authentication or identity frameworks, and thoughtfully using AI-assisted development tools to build, test, and ship high-quality code faster without lowering the quality bar. Security Mindset. You think like a security engineer — considering how data flows, where it’s stored, who can access it, and how to design for least privilege and transparency. Product and Platform Mindset. You care about building secure scalable systems that enable, not block, innovation. You work closely with product teams to make trade-offs clear and help them move quickly without sacrificing trust. Curiosity and Ownership. You take ambiguous, cross-cutting problems from first principles to production and go deep when needed: tracing an authorization decision from agent intent through policy enforcement and downstream effects, or following sensitive data across model context, logs, storage, and tenant boundaries. You define the problem, align partners, ship the solution, and own it in production. EVEN BETTER IF… - You’ve worked on privacy, identity, trust & safety, authN/authz, or data protection systems. - You’ve built security frameworks, libraries, or tooling that developers actually use or integrated security automation into CI/CD pipelines. - You have exposure to AI systems or care about designing secure-by-default LLM applications. - You think like an attacker — you naturally ask "what could go wrong?" when reviewing designs or while building systems. You've found or fixed real security issues in production systems. - You thrive in 0→1 environments, where foundational systems have to balance speed, reliability, and trust.   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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organization -  leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams. This leadership track includes roles for Managers and Senior Managers . At Canonical, managers are expected to stay technical and close to the code as well as the processes and people around them. Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are the Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are: Leading their teams in elevating the Linux developer and user experience Designing, building and shipping high quality, performant software in Rust, Go and Python Demonstrating sound engineering principles through architecture, development and code reviews Taking responsibility for planning, estimation and execution Working with product management to define the vision and strategy for Ubuntu Setting expectations with other engineering teams, senior management, and external stakeholders Offering coaching, mentoring, technical feedback and hands-on career development Contributing to upstream and neighboring open source projects Authoring and improving technical and community documentation What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Ability to drive and deliver technical work streams going above and beyond expectations Lead and coach others to deliver exceptional engineering work A demonstrated passion for open source software Significant experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Experience managing technical teams Experience contributing to or leading open source projects Experience with Linux distributions/distribution engineering Experience with software packaging and distribution mechanisms Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.