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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads powers Reddit’s mission to bring community, belonging, and empowerment to everyone in the world. The Advertiser Platform organization owns ads.reddit.com, Reddit’s core advertiser-facing product. We’re looking for a mid-level frontend engineer to join our Ads Manager team. Our team includes frontend and backend engineers who build tools that help advertisers create and manage campaigns at scale. We make complex advertising workflows easier to use, with a focus on performance and reliability. In this role, you’ll own medium-sized frontend projects. You’ll help clarify requirements, propose technical solutions, and carry your work through implementation and release. You’ll make progress independently, collaborate with teammates on tradeoffs, and ask for input when you need it. Responsibilities Build intuitive, accessible interfaces that help advertisers create and manage campaigns. Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects. Own technical design, implementation, testing, and release for medium-sized frontend projects. Communicate progress, dependencies, and risks early so partners can plan around them. Review code and document technical decisions to help the team maintain and extend its work. Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns. Requirements 3+ years of software engineering experience, including 2+ years in frontend engineering. Experience building and maintaining production web applications. Ability to break down a project, evaluate technical tradeoffs, and deliver a solution independently. Clear communication and a collaborative approach to problem-solving. Experience writing maintainable code, testing your work, and participating in code reviews. Preferred qualifications Experience building advertising products, creative tools, or design systems. Experience partnering directly with product managers and designers. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days Off Generous paid Parental Leave Paid Volunteer time off #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager, (Technical Team Lead) Location: Remote, Brazil, Colombia, Argentina Status: Full-time Role Overview As a Engineering Manager (Technical Team Lead) at Turing, you will be a pivotal part of our engineering leadership for AI initiatives. This is not a pure people management role. You will be expected to be hands on: able to operate on the data, organize the stack, set up infrastructure, and personally deliver a project if no one else is available. You will lead a team through a rapid iteration, startup paced environment with high expectations and short timelines, while also driving the technical vision and execution of complex projects. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of delivering under pressure, and is excited by the intensity of a startup environment rather than looking for a more comfortable, longer timescale management track. Key Responsibilities Hands On Technical Ownership: Operate directly on data, organize the technical stack, and set up infrastructure as needed. Be the technical fallback who can personally deliver a project if no one else is online to do it. Guide the team in architecture, design, and implementation of scalable, maintainable codebases. Build and use AI agents, and review the team's agent based work, since this role requires evaluating agent output directly rather than only reviewing human written code. Prompt Generation and Innovation: Lead innovation efforts in product features and processes. Manage idea and prompt collection and prioritization. Drive experimentation and iteration for optimal outcomes. Work Stream Assignment Across Pods: Allocate projects based on skills and performance. Prioritize tasks to meet business goals. Coordinate with cross functional teams for project alignment. Team Throughput and Task Completion: Monitor progress using metrics like velocity and cycle time. Optimize development processes for efficiency. Ensure tasks meet quality standards before deployment. Spot Reviews on Tasks: Perform quality control through task reviews. Provide actionable feedback to maintain high standards. Identify risks early and adjust processes accordingly. Identifying High and Low Performers: Conduct performance analysis through reviews and metrics. Provide mentorship, feedback, and talent management. Identify high performers for advanced roles and support development for others. People and Project Leadership Under Pressure: Lead teams through urgent, high pressure delivery schedules, not just steady state work. Push delivery timelines in a rapid iteration startup context while maintaining quality. Take direct ownership of outcomes, including being responsive when urgent needs arise. Technical Skills Expert level, hands on experience in Node.js, with React and NestJS specifically, including a deep understanding of their ecosystems, libraries, and best practices. Experience with Infrastructure as Code (IaC) and GCP, including setting up and operating cloud infrastructure directly. Ability to build and use AI agents, with enough fluency to review and evaluate a team's agent built work. Experience leading projects that leverage Python for data analysis, backend development, or AI and ML applications, as well as JavaScript and TypeScript for front end and full stack development. Proficiency in data analysis techniques, including statistical analysis, data visualization, and data manipulation using tools like Pandas, NumPy, and SQL. Strong focus on data quality, including data validation, cleansing, and enrichment. Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, Data Engineering, or a related field. Electrical engineering backgrounds are acceptable. AI or data science background is a meaningful plus (helps significantly) but not a dealbreaker if diligence and ownership are evident elsewhere. 5+ years of experience in software development. At least 2 years in a leadership role is the bar for an Engineering Manager managing teams of 3 to 6. For this Senior Engineering Manager (Technical Team Lead) role, candidates should have experience managing meaningfully larger teams than that, not just the 5 to 6 person threshold. Proven track record of leading teams through urgent, complicated technical work, ideally in a startup setting, and delivering on time or ahead of time. Demonstrated ownership that exceeds role expectations: a history of taking on more than the job required, high personal output, and strong initiative. Strong problem solving skills, with a focus on delivering results in a fast paced, dynamic environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively across cross functional teams. What Success Looks Like You are the kind of leader who is excited to do this work. You know it will be intense, that you'll manage a lot of people, process, and technology at once, and you welcome it. You have taken on something genuinely hard, led people through it, and can clearly explain what made it difficult and how you delivered — a truly hard technical milestone, reached in a leadership setting, that you're proud of. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Protective Services Agent London, United Kingdom - Deliveroo Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Global Safety and Security team protects our people, property, operations, and reputation across more than 40 countries. We're looking for a Protective Services Agent to join our team. This is an office-based role in London, with up to 25% travel, mainly across the UK and Western Europe. You'll deliver protective operations for the people we protect in the UK and our international markets, working to established standards with direction from the Senior Protective Services Agent and the Protective Services Manager. What You'll Be Doing You'll join the Protective Services function within Global Safety and Security, running daily movements in London and supporting advances and international operations as part of the detail. Here's what your day-to-day might look like: Run protective movements, independently in London and as a member of the detail on advances and international trips, from planning through to recovery. Put intelligence to work by taking Protective Intelligence briefings into every movement, applying the changes they call for, and escalating new information quickly. Support risk and vulnerability assessments with site surveys, photos, and field notes for residences, venues, and travel programmes. Work with our in-country network of vetted security providers, drivers, venues, and local partners, and report performance issues. Support crisis response, carrying out emergency action plans, taking part in drills, and capturing lessons in after-action reports. Earn trust and keep friction low by building relationships with the people we protect and their teams, so protection is something they rely on rather than tolerate. What You'll Need to Thrive Essential Two to four years in protective, security, military, police, or other high-trust service operations, ideally including protective movements. Sound judgement when the plan changes, with the discipline to follow procedure and the sense to know when to adapt or escalate. Reliable delivery and discretion, with clear handovers, follow-through without chasing, and absolute care with sensitive information. Coachability, taking direction and correction in the field and turning feedback into better performance. A current SIA Close Protection licence, first-aid certificate (FREC 3 or equivalent), and full UK driving licence with a clean record. Existing right to work in the UK is required; we are unable to offer visa sponsorship for this role. Availability to travel up to 25% of the time, sometimes at short notice, and to work extended and after-hours during active operations. Nice to Have International operations experience, hostile environment awareness training (HEAT), and medical evacuation familiarity. Working knowledge of surveillance, access control, alarm monitoring, and residential security technology. A degree or equivalent professional experience. What the Work Involves This role is active and operational. It includes extended time on your feet and in vehicles, carrying equipment, driving in busy or poor conditions, working outdoors in varied weather, and irregular hours including nights, weekends, and travel across time zones. We are happy to discuss reasonable adjustments with any candidate at any stage of the process. Why Join Us? At Deliveroo, you'll do work that matters, solving real-world problems in a three-sided marketplace that's constantly evolving. Working here you can expect to: 🔧 Make a visible impact every day. Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment. Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role. Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture. Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine. Find out more about how we hire at careers.deliveroo.co.uk/how-we-hire. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more at careersatdoordash.com/recruitment-scam-awareness. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Lakewood, WA Be the reason a child has a breakthrough this week. LBAPS is hiring Behavior Technicians to work 1:1 with children receiving ABA therapy at home, in school and in the community. We have several openings in the Lakewood area right now. What you will do Lead 1:1 ABA sessions using a plan written by a BCBA Track progress and celebrate every win Partner with families and your supervising BCBA What you bring RBT certification, or the drive to earn it (BT applicants welcome) Experience with children: classroom, camp, childcare and tutoring all count A dependable way to get to sessions in the Lakewood area Patience, energy and reliability Why LBAPS Cases close to where you live Ongoing BCBA supervision and support Part-time and after-school hours Apply today. Interviews are held on Zoom.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: AZ_Mesa_HQ Position Overview We are seeking an experienced Senior Database Engineer to own the design, performance, and operational integrity of the relational data platform behind our mobility products. This is a hands-on senior individual contributor role accountable for schema architecture, migration safety, query performance, and data durability across a high-volume, multi-tenant transaction platform running on Amazon Web Services (AWS). You will work alongside software engineers, platform and DevOps engineers, and architects, partnering closely with Product, QE, and Information Security to support hundreds of microservices that read and write shared operational data stores. Success in this role is measured by query and transaction performance, the safety and cadence of schema change, data durability against recovery objectives, and the retirement of data-access patterns that constrain platform scalability. Essential Responsibilities Schema Design & Change Management Own the relational schema for the core operational platform — entity and domain modeling, normalization decisions, constraint and index design, and reference and seed data managed as versioned, reviewable artifacts. Author and review database migrations as code, enforcing backward-compatible, zero-downtime change patterns (expand/contract, dual-write, backfill-then-cut) so that schema releases decouple from application releases. Maintain migration history as the authoritative record of applied state across every environment and tenant, including drift detection and reconciliation where environments have diverged. Define and enforce standards for constraints, foreign keys, nullability, and uniqueness so that data integrity is guaranteed by the database rather than by application convention. Performance Engineering & Query Optimization Profile and tune high-volume OLTP workloads: execution plan analysis, index strategy, partitioning, planner statistics and behavior, connection pooling, and vacuum and autovacuum tuning. Diagnose and remediate latency and timeout failures end to end, including cases where the database is the symptom rather than the cause — client-side timeout misconfiguration, retry storms, N+1 access patterns, and repeated plan regeneration. Establish query performance budgets and regression detection so that performance is validated before release rather than discovered in production. Review transaction boundaries, isolation levels, and locking strategy to ensure correctness under concurrency — including explicit row-level locking where read-then-write races would otherwise permit duplicate or conflicting processing. Data Architecture & Platform Modernization Lead the consolidation of data access away from generated API layers and ad-hoc SQL embedded in application code, toward typed, reusable domain services with clear ownership boundaries. Reduce third-party data-layer dependencies and associated licensing exposure by staging replacements at the infrastructure seam, environment by environment, with no change in application behavior. Support migration of client data from legacy platforms, including mapping, transformation, load, and formal reconciliation against source-of-record counts and balances. Partner with Architecture on the separation of transactional and analytical workloads, reporting replicas, and downstream data warehouse feeds. Reliability, Backup & Disaster Recovery Own backup, point-in-time recovery, replication, and failover configuration, and validate it through real restore exercises rather than assumed capability. Ensure recovery configuration meets contractual RPO and RTO commitments, and produce the evidence that demonstrates compliance. Build database observability — wait events, slow query capture, replication lag, connection saturation, and storage and IOPS headroom — and define SLIs for the data tier. Participate in on-call rotations and act as an incident responder for data-tier events, contributing to root-cause analysis and tracking corrective actions to completion. Security, Privacy & Compliance Implement encryption at rest and in transit, key management, and least-privilege database access; replace shared and long-lived credentials with managed identity and short-lived tokens. Protect regulated and personally identifiable data — including vehicle, registered-owner, and payment data — through access controls, masking in non-production environments, and defensible retention and purge processes. Cross-Functional Collaboration Partner with Software Engineering so that new services adopt approved data-access patterns, migration tooling, and performance review from day one rather than retrofitting them later. Review application data access during code review, and coach engineers on query construction, indexing implications, and transaction scope. Document schema ownership, data dictionaries, runbooks, and recovery procedures so that the platform does not depend on any single person’s knowledge. Respond to system issues, participate in high-priority incident calls, and support emergency activities outside of standard hours as needed. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. 6+ years of experience in database engineering, data platform engineering, or production database administration, including 3+ years working with PostgreSQL at production scale. Deep, demonstrable PostgreSQL expertise: execution plan analysis, index and partitioning strategy, autovacuum and bloat management, connection pooling, and lock and deadlock diagnosis. Production experience with managed cloud databases (Amazon Aurora PostgreSQL or RDS preferred), including backup and point-in-time recovery, read replicas, and failover testing. Hands-on experience with schema migration tooling integrated into CI/CD (Flyway, Liquibase, Alembic, Sqitch, or comparable) and with zero-downtime schema change patterns. Strong command of transaction semantics — isolation levels, locking, and concurrency correctness — and the ability to reason about race conditions in application code, not only in the database. Advanced SQL, plus proficiency in at least one of: Python, TypeScript/JavaScript, Go, or Bash for tooling and automation. Working experience provisioning and changing database infrastructure as code (CloudFormation, Terraform, or comparable). Experience with database observability and diagnostic tooling (Performance Insights, pg_stat_statements, CloudWatch, Datadog, or comparable APM). Clear, concise written and verbal communication, including the ability to explain data-tier trade-offs to engineers and to non-technical stakeholders. Preferred Qualifications Experience in mobility, transportation, tolling, parking, payments, or other regulated, high-volume transaction-processing environments. Experience with GraphQL data-access layers (Hasura, PostGraphile, or similar), and with migrating applications off a generated-API layer onto typed service interfaces. Multi-tenant data architecture at scale, including per-tenant account or database isolation and the operational overhead it carries. Event streaming and change data capture (Apache Kafka / Amazon MSK, Debezium, transactional outbox patterns) and the consistency guarantees involved. Large-scale data migration from legacy platforms, with formal reconciliation and cutover planning. Exposure to compliance regimes such as SOX, SOC 2, PCI-DSS, or ISO 27001. Analytical and data warehouse platforms (Redshift, Snowflake, dbt) and transactional-to-analytical replication. Working familiarity with Oracle or SQL Server for legacy interoperability. Relevant certifications: AWS Certified Database — Specialty, AWS Solutions Architect, or a PostgreSQL certification. What Success Looks Like in the First 9 Months Within 90 days: ramped up on the core schema, migration pipeline, and environment topology; owning the migration review process and holding a prioritized baseline of the platform’s highest-cost queries. Within 6 months: delivered measurable latency reduction on owned workloads; validated backup and recovery against stated objectives through an actual restore exercise; actively participating in the on-call rotation. Within 9 months: recognized as the owner of platform data architecture; retired at least one significant constraint — a legacy data-access dependency, a licensing exposure, or a recurring class of performance failure; mentoring engineers and setting standards the team follows. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Remote-Friendly (Travel Required) | 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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well. The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them. This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them. Key responsibilities Produce a vendor-ready design package for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them Define the per-site engineering basis: which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations Write the acceptance criteria and test methods: the verification method behind each requirement and the evidence a site must produce to pass acceptance Set standoff, structural hardening, and site layout criteria for new designs, tied to the threat basis they derive from Run field verification: commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks) Write the operational and design requirements for security operations control rooms: console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline Own control room acceptance: factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them Minimum qualifications Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result Preferred qualifications Experience carrying a physical security design from construction documents through construction to acceptance testing Experience engineering the security scope of colocation or partner-delivered facilities Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning Photometric and video quality measurement experience Control room, AV, or network design experience: console layouts, video wall systems, resilient communications Experience using AI-assisted tooling for drafting and review as a core part of your workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US About the Role In this role, you will contribute to Cloudflare's revenue generation engine by delivering pipeline at scale to the Sales counterparts. You will do this through a maniacal focus on people, process, and tools. The Business Development organization is anchored in a culture focused on the development & training of its employees, incubating talent across the company, teamwork, and celebrating success. With flawless execution, we believe the Business Development organization will be a competitive differentiator for Cloudflare. Responsibilities In this role, your primary responsibility is driving business growth and expanding the customer base of Cloudflare by identifying and nurturing potential opportunities through proactive outreach and effective lead qualification. Prospect and research potential leads or target accounts Initiate outbound calls to introduce Cloudflare products/services Qualify leads based on interest, budget, authority, and fit Build relationships and rapport with potential customers Develop in-depth knowledge of Cloudflare offerings Manage and update CRM with accurate information Collaborate with the sales team to hand off qualified opportunities Meet or exceed set targets and KPIs Stay updated on industry trends and market conditions Provide regular reports and insights to managers and fellow team members Desirable Skills, Knowledge, and Experience Language Requirement: Since this role involves working with LATAM markets, Fluent (Business Level) in Portuguese is required. Minimum 6mos of professional working experience, coupled with an interest in transitioning to a role in outbound sales Minimum 6 mos of proven experience in a sales or business development role, with a focus on outbound prospecting or lead generation Ability to meet and exceed achievable targets Foundational knowledge of computer networking and “how the internet works” Motivation, drive and a self-starting attitude Ability to collaborate effectively with cross-functional teams, such as sales and marketing Experience with CRM systems like Salesforce.com, proficiency in LinkedIn Sales Navigator, and familiarity with tools like Outreach.io or Salesloft would be advantageous Effective communicator with strong follow-up skills Ability to multitask, prioritize, and manage time effectively in a fast-paced, dynamic environment Adaptability, resilience, and the ability to handle rejection or objections in a positive manner Resolute desire to move up in other sales functions at Cloudflare Demonstrated ability to quickly grasp technical concepts and terminology Ability to travel within and outside the United States and/or Canada as required Making a minimum of 50 outbound calls per day Sending a minimum of 30 targeted emails per day using Salesloft Generating a minimum of 5+ qualified opportunities per week through calls, email and social outreach Actively managing and progressing sales cadences (Salesloft) Ensuring timely follow-up on all leads or inquiries within 24 hours Meeting or exceeding assigned sales targets and KPIs Keeping CRM data accurate and up-to-date at all times Receiving positive feedback from team members or manager What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab (RWTL) Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls — their devices, their environments, their hardest conditions, and their definition of success — and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring a Hardware Operations Engineer with a robotics specialism, reporting to the Director of the Real-World Test Lab, to own the physical layer of our evidence. You'll manage our fleet of capture devices and robots, engineer the test environments and the instrumentation inside them, support the captures our data programs depend on, and run physical test sessions, including the real-robot side of our sim-to-real work. A physical run only counts as evidence if the hardware is characterized, the environment is controlled, the ground truth is trustworthy, and someone can reproduce the run months later. You'll build what makes that possible: fixtures, ground-truth references, calibration and data-offload tooling, and the integrations that feed physical runs into the same automated evaluation system as everything else. You engineer the conditions, not just the setup. When a physical result didn't match expectations, you've worked out whether the hardware, calibration, environment, or system under test was responsible. Then you built the rig, reference, or logging that kept the question from coming back. You know an uninstrumented physical test is an anecdote, and in the Lab you'll be the person who can say with authority whether a strange result is real. What Success Looks Like - 30 days: Fleet inventory and characterization baseline complete, safe operating procedures defined for current spaces, and first instrumentation gaps identified. - 60 days: First physical robot run executed with ground-truth instrumentation, documented well enough to repeat, with results in the Lab's evaluation system. - 90 days: Test environments in regular use with controlled, documented conditions; capture support running smoothly with our data acquisition team; and the physical side of sim-to-real running on a standing instrumented protocol. What You'll Do - Own and Characterize the Fleet - Manage our capture devices, sensors, and robots end to end: inventory, calibration, firmware, maintenance, logistics, and spares. Characterize what each platform can and cannot do, so a device's limits are a known quantity rather than a surprise inside a result. - Engineer the Physical Test Environments - Design, build, and operate the spaces we test in, covering layout, lighting control, markers, obstacle configurations, and survey-grade ground truth references, across our office, rented or workplace-services-supported space, and partner or customer sites. Make each environment a controlled variable rather than an improvisation. - Build the Instrumentation - Create the rigs, mounts, references, and measurement setups that turn a physical run into quantitative data: trajectory ground truth, positional accuracy references, timing and synchronization across sensors, and automated condition logging. - Integrate Physical Runs Into the Evaluation System - Work with the AI Automation Engineer so physical results flow into the same scorecards and comparisons as software-only evaluations, through automated data offload, run metadata, and structured condition capture rather than a spreadsheet and a folder of files. - Run the Physical Test Sessions - Execute robot runs and device-in-the-loop tests: robot bring-up, teleoperation, scripted trials, and the repetition that makes a result statistically meaningful rather than anecdotal. - Own the Physical Half of Sim-to-Real - When a scenario has been evaluated in simulation, engineer and execute its physical counterpart so the comparison is valid, matching environment, route, lighting, sensor configuration, and robot setup, and instrumenting the run so divergence is explainable rather than mysterious. - Own Safety - Define and maintain safe operating procedures for robots and powered equipment in our test spaces, and coordinate with workplace services, IT, Legal, and site owners on access and safety requirements. - Automate Your Own Work - Script the repetitive parts, including configuration, calibration checks, data offload, and condition logging, so setup time falls and a colleague can run a session without you. What You'll Bring - Hands-on engineering experience with robotic hardware, covering bring-up, integration, teleoperation, troubleshooting, and maintenance. Mobile or wheeled platforms preferred. - Built test rigs, fixtures, or instrumentation that produced quantitative measurements of a physical system's behavior. - Designed and run structured physical experiments, including ground truth methodology, and documented conditions rigorously enough for someone else to reproduce them. - Worked with sensor calibration, multi-sensor synchronization, and coordinate frame conventions, and understand how errors in each propagate into a result. - Strong Python and command-line proficiency, with a track record of automating hardware configuration, data offload, or test execution. - Managed hardware fleets operationally: inventory, firmware, calibration schedules, logistics, and repair coordination. - Practical safety experience operating powered equipment or robots around people. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Worked with ROS or ROS 2, including writing nodes or integrating sensor drivers. - Operated NVIDIA Isaac Sim or Isaac Lab as a user, running scenarios someone else authored. - Worked with professional capture hardware such as terrestrial laser scanners, NavVis or Leica systems, LiDAR, 360 cameras, or drones. - Established survey-grade or motion-capture ground truth for localization or navigation evaluation. - Supported photogrammetry, Gaussian splat, or 3D reconstruction capture workflows. - Run test operations at customer or partner sites, with the coordination and discretion that requires. Competencies - Engineering judgment about physical systems. You reason about error sources: calibration drift, timing offsets, mounting rigidity, lighting variation, floor surface. When results disagree, you form a hypothesis and design the measurement that settles it. - Hands-on and unfazed. You'd rather be in the space with the robot than reading about it. Cables, mounts, batteries, firmware, and a session that starts at 7am are all part of the job. - Meticulous about conditions. You instrument rather than remember. You know the value of a physical test lives in how precisely its conditions were captured. - Safety-minded without being slow. You take real responsibility for operating robots around people, and you build procedures where the safe path is also the fast path. - Builds for other people. Your fixtures, scripts, and procedures get used by colleagues without you in the room. - Comfortable in an unfinished environment. Much of this does not exist yet. You'll be selecting equipment, designing the first rigs, and defining how a space gets configured, with support but without a playbook. Compensation & Benefits Base salary range of $142,200 to $193,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Athens The Wow As a Tech Lead at Betsson Group, your primary responsibilities will be geared towards driving technical excellence in our products. You will serve as a bridge between the domain architect(s) and engineering teams, facilitating technical design, decisions and delivery. Being a technical expert, you will actively support our managers in building world class engineering teams. This is a hands-on role, where you will have frequent opportunities to research new technologies, lead technical investigations and develop POCs for new ideas, and will actively participate in key technical initiatives A taster of what you will be involved with: Your main goal is ultimately to drive technical excellence in the domain - in particular towards improving stability, performance, code quality, and development efficiency. To this end, you will be expected to: Identify and champion technical improvements for consideration in the roadmap, ensuring the benefits are clear and understood. Work closely with architects to ensure that the architectural direction and standards are being communicated, aligned & implemented within the teams. Develop and maintain a strong understanding of our business and products. Take the lead on technical design decisions, whilst ensuring alignment with the domain architect(s). Take an active, hands-on role with important technical initiatives and issues. Support new product development by producing POCs and/or documented technical designs. Research new technologies and assessing their potential application. Review major changes to ensure they are up to standard. Serve as a key technical point of contact for the domain, collaborating with product, architecture and engineering colleagues across the organisation. Help build our world class teams, thus participating in technical interviews and providing technical feedback on people, as well as coaching & mentoring engineers. Participate in team ceremonies such as planning, refinement, etc... to keep up to date on ongoing works and upcoming plans. Lead technical trainings to share knowledge and improve technical expertise within the teams. What we are looking for A strong technical background in software engineering for web applications. Highly knowledgeable and experienced with TypeScript / JavaScript and Web Markup (CSS3/HTML5). A deep understanding of Observable technologies (preference for RxJS / Signals). Highly knowledgeable and experienced with modern agile software development practices, GIT based projects, and CI/CD. Knowledge about web component frameworks (ex. StencilJS) Highly experienced and comfortable working with large scale applications, including: SDK & FE components architecture, modularisation, efficient application bundling, unit testing, and integrating with backend APIs. Expertise in delivering highly performant web solutions on an international scale, with preference given to implementing SSR mechanisms and optimising content delivery with CDNs, caching, and other solutions surrounding front-end applications. Possess demonstrated working experience in defining and documenting technical solutions around front-end architecture and its integration with backend services. Ability to efficiently review PRs and provide constructive feedback. Experienced and passionate about coaching and mentoring people, preferably having done so in a similar role. Communicates clearly and confidently with the engineering team, whether running training or knowledge transfer sessions, walking through requirements, or presenting technical designs Communicates effectively upwards with Architects and the Head of Engineering, presenting technical proposals, trade offs and risks with clarity and sound reasoning Is approachable and open, someone the team feels comfortable going to for guidance or support. A strong team player who builds trust, shares knowledge willingly and contributes to a collaborative team culture Great if you have Prior experience working with custom UI design system frameworks. A good understanding of front-end data tracking through Google Analytics / Google Tag Manager. A good understanding of AI Tooling and AIDLC practices. Helps driving AI Tooling adoption within the team in a responsible manner, building confidence and good habits. Applying sound judgement to AI generated output, ensuring code quality and security is never compromised. Working experience with geographically distributed teams. What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey continues to scale its Legal Engineering function, we are hiring Legal Engineering Managers to lead and grow high-performing teams supporting our go-to-market efforts. This role sits at the intersection of legal expertise, customer engagement, and commercial strategy — helping prospective and existing customers understand how Harvey can transform the way legal work gets done. Legal Engineering Managers lead teams of Legal Engineers who partner closely with Account Executives throughout the sales process, bringing legal credibility, product expertise, and consultative support to customer engagements. In addition to managing and developing the team, you will work directly with strategic customers, help shape Harvey’s go-to-market approach, and partner cross-functionally with Product, Marketing, Enablement, and Engineering to improve how Harvey serves the legal industry. This role is both strategic and hands-on. We are looking for experienced legal professionals with a litigation background who are comfortable operating in fast-paced environments, navigating ambiguity, and solving complex problems with a high degree of ownership. WHAT YOU’LL DO - Lead, coach, and develop a high-performing team of Legal Engineers, setting a high bar for customer engagement, legal credibility, and commercial impact. - Partner closely with Sales leadership and Account Executives to support strategic accounts, develop deal strategy, and drive successful customer outcomes. - Oversee and support your team, as they engage in complex customer engagements by conducting discovery, leading product demonstrations, and advising customers on how Harvey can improve litigation, investigations, regulatory, and compliance workflows. - Build trusted relationships with senior stakeholders, including litigation partners, heads of litigation, General Counsel, and other legal and business leaders. - Collaborate cross-functionally with Product, Engineering, Applied Legal Research, Marketing, and Enablement to improve positioning, workflows, customer solutions, and go-to-market strategy. - Act as the voice of the customer by synthesizing frontline feedback and helping inform product roadmap decisions, feature development, and new use cases. - Help build and scale the Legal Engineering organization by improving processes, enablement materials, demo strategies, and team best practices. - Contribute to Harvey’s presence in the market through customer workshops, thought leadership, speaking engagements, and industry events. WHAT YOU HAVE - Qualified lawyer with 7+ PQE, including significant experience practicing litigation, investigations, arbitration, disputes work, regulatory, or compliance counseling at a leading law firm or legal organization. - Must have prior experience managing a team, with a track record of developing talent and driving performance. - Deep familiarity with legal technology and AI tools, with the ability to quickly develop expertise in Harvey’s platform and workflows. - Strong understanding of litigation and disputes workflows, including legal research, drafting, discovery, case strategy, and matter management. - Strong commercial instincts and the ability to engage credibly with senior stakeholders across law firms, legal departments, and business organizations. - Excellent communication and presentation skills, including experience leading trainings, workshops, demos, or customer-facing sessions. - Comfort operating in a fast-paced, high-growth environment with a pragmatic and solutions-oriented mindset. - Strong point of view on the future of the legal industry and the impact of AI on legal services. COMPENSATION $315,000 - $385,000 USD OTE 75/25 Split     DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].   #LI-LE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: 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 We are seeking an experienced public opinion researcher to build and expand Anthropic's in-house polling and research function. This role will be fundamental to understanding how key audiences — from policymakers and third-party groups to the general public — perceive and respond to Anthropic's policy positions, messages, and campaigns. This is a foundational role: you'll establish the research function from the ground up, with high autonomy and limited precedent. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. You'll work cross-functionally to ensure our policy and communications strategy is grounded in a rigorous understanding of stakeholder sentiment. The polling insights you generate will directly feed into high-visibility campaigns and will be a key asset in our policy efforts in Washington and beyond. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems and build partnerships with governments through proactive, opinionated, substantive policy conversations. This role offers a unique opportunity to be at the forefront of AI policy, bringing rigorous research discipline to policy strategy. Success in this role means establishing trusted relationships with leading polling firms around the world, delivering high-quality research on a regular cadence, and becoming the internal expert on how key audiences perceive AI, Anthropic, and Anthropic's positions and messages. You'll translate polling insights into strategic recommendations that measurably improve campaign effectiveness, and build scalable processes that allow the function to grow efficiently as demand increases. Key responsibilities Develop a comprehensive strategy for our in-house political research function that aligns with Anthropic's policy goals Identify, evaluate, and establish relationships with leading research and polling firms, ensuring coverage across demographics, geographies, and political perspectives Conduct detailed, proactive research to test core messages, policy proposals, and campaign themes, and to evaluate Anthropic's brand perception and performance Execute rapid-response polling to quickly assess Anthropic's messaging strategy in response to external events, policymaker actions, competitive developments, or emerging opportunities Work with external affairs colleagues (federal, state, and international) and policy communications to identify research priorities, interpret findings, and translate insights into actionable strategic recommendations Develop and maintain a knowledge management system for polling data, insights, and recommendations that ensures findings are accessible and actionable Manage polling vendors at scale, including vendor performance management Participate in strategy sessions and provide thought partnership on the design of messages, policy proposals, and campaigns ahead of polling and testing Create clear, compelling deliverables that distill polling findings into insights and recommendations Identify opportunities to build and scale the polling function over time, including staffing needs, process improvements, and capability expansion Track and report on the impact and utility of research, measuring how insights translate into more effective campaigns and strategic decisions Minimum qualifications Experience designing and executing public opinion research, including survey and questionnaire design, sampling approaches, and message testing Ability to analyze quantitative and qualitative polling data and translate findings into clear, decision-ready written recommendations Experience selecting, briefing, and managing external polling or research vendors Strong writing and presentation skills, including distilling complex research for senior, non-technical audiences Preferred qualifications 8+ years of professional experience in political or public opinion research, ideally spanning multiple campaign cycles and policy environments Corporate public affairs experience, ideally in a highly scrutinized or regulated industry Strategic thinking that spots emergent issues, identifies and tests the right messages, and translates those insights into tactical recommendations A track record of building relationships with vendors, external experts, and complex stakeholder ecosystems Strong organizational skills, with the ability to manage multiple projects simultaneously, maintain clear priorities, and deliver on tight timelines Comfort operating in ambiguous environments, taking ownership of problems, and proactively driving initiatives with limited precedent A resourceful, collaborative working style and genuine commitment to being a strong teammate Passion for AI policy and alignment with Anthropic's safety mission and commitment to responsible AI development 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: $230,000 — $265,000 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, United Kingdom Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We are looking for a Head of Partnerships for the EU/UK region. This person reports to the VP of Sales and is responsible for driving revenue growth from the partner channel. What You Will Be Doing: Lead the EU/UK partnership team (currently five Partner Managers) to deliver revenue targets and achieve assigned KPIs In alignment with the division leadership, develop and execute the regional partnerships strategy Personally identify & win new partner mandates - both reseller and referral partners (with a heavy emphasis on resellers); responsibility includes cold outreach & event/panel participation Drive growth and collaboration with existing partners across the region including partner reactivation, enablement, sales & marketing activities Work with incoming partnership requests from the EU/UK (full partner lifecycle management from initial qualification, through signature, growth and support Lead & coach the team to ensure repeatable, scalable growth and performance at the individual level Provide periodic management reporting to wider team, regional VP, CRO and C-level Participate in the development & improvement of the internal processes working closely with internal stakeholders About You: A minimum of five years of team leadership experience Proven experience in partnership management, sales, or business development, with a focus on the EU/UK region Excellent networking skills Strong experience working with partners & alliance sales in IT (SaaS) Domain expertise in BaaS, embedded finance & Web3 is a strong bonus A hands-on leadership style, regularly leading from the front on major opportunities An excellent coach & deal strategist Strong track record of managing reseller and referral sales channels Proficiency in cold sales UK-based (mandatory); preference on London Willing to work 2 days per week in the London office, attend regular face to face events & meetings; monthly European travel. Cover letter required: Tell us a little about why this role caught your attention, what experience or knowledge you’d bring to the team, and why you think it could be a good fit. We’d love to hear your own thoughts, so please make it personal and tailored to the role rather than relying on AI (we can tell :) ). What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Team interview-> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Los Angeles, USA As a game designer, you will design, tweak, and optimize the player experience. Your analytical skills, player insight, and creativity aid in crafting in-game experiences that engage and surprise players. You will collaborate with interdisciplinary teams and work with every tool at hand to innovate and iterate player-focused designs that'll delight millions around the world. As a Principal Game Designer on ARAM: Mayhem, you will level up the team responsible for growing and improving this hit new game mode within League of Legends. You will use your deep understanding of League players to develop new content and systems that deliver unforgettable high moments for the champions they love. As an expert in set-based or live service design, you will define what good looks like for game updates that consistently create novel experiences and high quality gameplay. You will report to ARAM: Mayhem’s Design Director. Responsibilities: Design and implement Augments and other content that demonstrate exemplary gameplay satisfaction. Provide direction, mentorship, and feedback to other game designers, fostering an environment of collaboration and craft excellence. Conduct early stage discovery on new projects that quickly validates their direction using intentional iteration and effective playtesting. Contribute to team processes that operationalize our design goals and ensure reliable, sustainable, high quality delivery of new content. Required Qualifications: Please ensure all of these qualifications are represented in your resume or cover letter 8+ years of experience in professional Game Development High familiarity with League of Legends and a strong understanding of what excites League players Experience designing sets or other content streams for a live service game Demonstrated proficiency in scripting in at least one engine in a shipped title Desired Qualifications: Experience leading projects or teams Experience designing characters or other player ability kits Experience as a senior thought leader of materially-impactful world-class innovations on a commercial video game For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: United States (Remote); Seattle, Washington; San Francisco, California Workplace: Remote ROLE SUMMARY Temporal is looking for a Software Engineer II to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We’re looking for an engineer who is excited to learn the system, contribute to new and/or ambiguous projects across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal over time. This is a hands-on engineering role where you’ll collaborate with experienced engineers to design, build, and operate components of Temporal’s distributed systems platform while growing your skills in distributed systems engineering. WHAT YOU'LL DO • Design, implement, test, and ship well-scoped features and improvements for the Temporal server with support from teammates. • Work on distributed systems problems in areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. • Make thoughtful engineering tradeoffs with guidance, balancing developer experience, performance, and operability requirements. • Partner with engineers, product managers, cloud teams, and customer-facing teams to understand requirements and deliver scalable solutions. • Improve the reliability and operability of the server by adding tests, instrumentation, dashboards, alerts, runbooks, and documentation. • Participate in design discussions and code reviews to learn best practices and contribute to a high-quality codebase. • Contribute to improving the developer experience for open source users and enterprise customers through incremental improvements and bug fixes. • Share knowledge with teammates and contribute to a collaborative engineering culture. WHAT YOU'LL BRING • Experience building and operating production backend systems (distributed systems experience and concurrency experience). • Strong computer science fundamentals, including concurrency basics, data structures, and debugging. • Experience writing production-quality code in Go, Java, or another applicable backend language, with an emphasis on correctness and maintainability. • Familiarity with core distributed systems concepts (e.g., fault tolerance, consistency tradeoffs, replication, scheduling, performance), with interest in deepening these skills. • Ability to break down ambiguous problems into smaller tasks, ask good questions, and incorporate feedback from code review. • Comfort working collaboratively across teams and communicating progress, risks, and tradeoffs clearly. • Experience with testing practices and an operational mindset (logging, metrics, tracing, on-call empathy) is a plus. • Experience with open source software or communities is a plus. • Experience with AWS, Azure, or GCP is a plus. • Exposure to technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. • Exposure to Kubernetes or related tooling (CRDs, KEDA, Argo) is a plus. WHAT MAKES YOU A GOOD FIT • You’re excited to continue building and deepening your distributed systems expertise. • You enjoy learning large, complex codebases, think critically, thrive in ambiguity, and enjoy solving challenging problems. • You take ownership of your work, follow through, and collaborate well with teammates. • You balance technical depth with practical engineering decisions and are comfortable iterating toward better solutions. • You don’t need prior Temporal experience—you’re excited to work on the core of a distributed system used by a large open source community and enterprise customers. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: 134 E Washington St, New Castle PA 16101 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide With locations spread out across the US, our local market knowledge and industry expertise helps support our clients' regional and global needs We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! Our division of EPIC, Treloar & Heisel, is a nationally recognized brand dedicated to serving dental and medical professionals. We specialize in helping clients secure their financial future through tailored insurance solutions and expert guidance. LOCATION: New Castle, PA (On-site) Greater New Castle region, including nearby communities in PA and OH ZIP Codes : 15009, 15010, 16112, 44512, 44403, 16001, 44406, 16066, 16116, 16117, 16127, 16148, 44425, 16137, 16101 WHAT YOU'LL DO Receive communication from insurance companies regarding our clients’ policies and respond accordingly Provide courtesy notifications to clients whose premium payments are late Assist clients with servicing of existing policies, including: Beneficiary and ownership changes Bank changes Premium mode changes Duplicate policy requests Agent of Record changes Coverage reductions Over-age policy conversion Lapse and reinstatement Cancellation Death claims Update database to reflect policy changes and changes to client contact information Communicate with clients’ financial institutions and insurance companies to process collateral assignments of life insurance policies Process policy suspension due to military deployment and reinstatement from suspension Provide high-quality customer service to established clientele WHAT YOU’LL BRING: High School Diploma or equivalent required Preferred Skills High-level customer service skills Superior attention to detail Ability to multitask and balance demanding workload in a fast-paced environment Strong Microsoft Office skills, especially Outlook and Word COMPENSATION: Compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package. Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data . WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . #LI-SG1 #LI-Onsite