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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 . Team Description The Ad Formats team builds and evolves Reddit’s ad experiences across all platforms and all format types, including image, video, carousel, shopping, etc. The team defines how those ads behave across placements like feed, conversation, search, making sure each format works in the right surfaces and contexts across Reddit. The team supports the end-to-end user ad experience, including media rendering, click behavior, special click variants like lead gen, and the UI details that make promoted content feel native to Reddit while optimizing for advertiser's goals. Within this area, the Ad Formats Foundation team owns the common infrastructure behind all ad formats, with a mission to improve developer efficiency, system reliability, and long-term scalability across the stack. We are responsible for modernizing core formats infrastructure, standardized format data, drive cross-platform consistency and compliance for ad formats to reduce bugs and allow the formats team to iterate quickly and improve the developer velocity. Our goal is to continuously improve ad formats infrastructure, with a focus on increasing developer efficiency and system reliability through tech stack modernization, scalability investments, and compliance work. Role Description We’re looking for a senior frontend engineer with deep JavaScript, TypeScript, and browser platform expertise to help strengthen Reddit’s advertising experiences across desktop and mobile web. You will partner with product and design to work through ambiguous requirements and make sound product and engineering tradeoffs. You’ll work closely with Ads and Web Platform engineers to solve complex frontend challenges while maintaining site performance, accessibility, and a dependable user experience. This role is a strong fit for someone who enjoys browser-level problem solving, navigating ambiguity, and building maintainable systems with measurable impact. Responsibilities Develop resilient frontend approaches to reduce ad disruptions, drawing on deep knowledge of JavaScript, TypeScript, HTML, CSS, the DOM, and browser networking. Partner with Ads and Web Platform teams to integrate solutions into shared rendering infrastructure, frontend architecture, and build systems. Design controlled experiments and phased rollouts to measure effectiveness while protecting site performance, accessibility, and user experience. Build instrumentation and monitoring to track mitigation effectiveness, detect regressions, and guide iteration. Implement ad rendering, event collection, click handling, browser extensions across multiple Ad formats. Contribute to broader foundational improvements in web advertising reliability, performance, and measurement. Raise engineering quality through thoughtful technical design, testing, code reviews, documentation, and mentorship. Required Qualifications 5+ years of experience building production web applications with JavaScript, TypeScript, and/or React. Comfort using Codex, Cursor, Claude, or comparable agentic coding tools in day-to-day software development. A track record of independently delivering complex frontend projects from technical design through launch and iteration. Sound judgment in frontend architecture, state management, component design, testing, and API integration. Experience building polished user interfaces with close attention to usability, performance, accessibility, and maintainability. Ability to work effectively through ambiguous product and technical problems. Strong communication and collaboration skills across engineering, product, design, and data disciplines. Experience using instrumentation, experimentation, or product metrics to understand and improve user experiences. A habit of improving engineering quality through code reviews, documentation, and technical mentorship. Bonus points Experience working with various ad formats (video ads, display ads, etc) Technologies used on the team include JavaScript, Typescript and React Modern frontend testing, experimentation, and observability tools 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: $190,800 — $267,100 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: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Executive Assistant in GitLab's Chief Revenue Officer (CRO) organization, you'll support the VP, Global Solution Architects and the VP, High Velocity Sales & Sales Development. You'll help both leaders stay focused on delivering customer value by managing shifting priorities, anticipating logistical needs, and following through on commitments. In your first year, you'll build trusted relationships and establish reliable processes for scheduling, meeting preparation, travel, events, recruiting coordination, and expenses. This is a partnership that goes beyond calendar management: you'll participate in team discussions, identify next steps, and keep both leaders informed as work moves forward. This role is US-based, with a preference for Central or Eastern time zones. Candidates in Pacific time are also welcome, with flexibility to support leaders and teams across global time zones. What You’ll Do Own complex, high-volume calendars across multiple time zones for both VPs, adapting to changes and advising on prioritization, delegation, and time management. Prepare recurring leadership meetings and all-hands, coordinate agendas and presentation materials, confirm attendance, and participate in team calls to identify and follow through on action items. Coordinate domestic and international travel, including flights, ground transportation, lodging, security needs, and documentation; anticipate disruptions and arrange alternatives when plans change. Plan and execute off-sites, team-building activities, and company kickoffs, coordinating with event partners and confirming reservations, deposits, and logistics through completion. Partner with Recruiting and hiring teams on interviews, candidate communication, and onboarding logistics. Prepare accurate monthly expense reports for both leaders, including receipt collection and reconciliation. Use artificial intelligence (AI) tools to streamline research, drafting, and recurring administrative work, checking outputs for accuracy, context, and usefulness rather than relying on automated summaries alone. Provide temporary coverage for other executive support partners and lead special projects and ad hoc requests across the CRO organization. What You’ll Bring Experience supporting multiple senior leaders or VP-level executives simultaneously in a technology company, with the ability to learn their working styles and business priorities. Bias for action and ownership : recognize what needs to happen, act independently within agreed priorities, and communicate progress and completion without repeated prompting. Experience managing complex calendars across time zones, exercising judgment about competing requests, and checking scheduling details and attendees. Skill in coordinating domestic and international travel and team events, anticipating dependencies, responding to disruptions, and confirming arrangements rather than stopping at an inquiry. Proficiency with tools such as Google Workspace, Slack, Zoom, Navan, Claude and GitLab, alongside experience with expense reporting, recruiting coordination, and onboarding logistics. Clear, approachable communication across functions and levels, sound judgment with confidential information, and the ability to build trusted working relationships. Practical experience using AI tools to improve administrative work, with the judgment to validate outputs, capture context, and retain responsibility for the result. An organized, reliable approach to balancing priorities across two leaders and their teams. We welcome transferable skills from different executive support backgrounds; prior go-to-market experience isn't required. About the team You'll join GitLab's CRO organization, supporting two leaders whose teams span Global Solution Architects, High Velocity Sales, and Sales Development. You'll work alongside a globally distributed group of executive support professionals who collaborate asynchronously through clear documentation, shared processes, and cross-functional partnership. The focus is dependable support for both VPs: keeping priorities clear, coordinating global travel and events, and ensuring commitments are completed and communicated as plans change. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Worldwide Workplace: remote We are looking for a Junior SMM Assistant to support the development of the brand’s social media presence for English-speaking audiences, whilst also contributing to our CIS-focused channels.You will work closely with SMM Managers on content creation and publishing, community management, engagement activities, trend research and performance tracking. As you gain experience, you will have the opportunity to take responsibility for individual channels and areas of social media activity.RequirementsPractical SMM experience: basic experience managing social media accounts, preparing content or moderating online communities. Commercial, educational or personal projects are welcome if you can demonstrate your work.English — B1+ / Intermediate or higher: confident written communication for creating clear social media copy, handling work-related correspondence and interacting with English-speaking audiences.Strong Russian communication skills: excellent written Russian for content creation and community management across CIS-focused channels.Social media knowledge: understanding of Instagram, Facebook, X, YouTube, TikTok, Telegram and VK, including the ability to adapt content for different platforms and audiences.Content tools: confident use of Google Docs and Google Sheets / Excel, as well as basic skills in photo and video editing applications.Content adaptation and community awareness: understanding of how tone, format and messaging should vary depending on the platform, audience and communication objective.AI tools: ability to use AI tools for preparing copy, generating ideas, research and content support, whilst carefully reviewing and checking the final result.ResponsibilitiesCreate and publish social media content in English and Russian, adapting copy to the brand’s tone of voice, audience and format of each platform, whilst contributing to the content calendar.Support visual content production by sourcing references, preparing briefs for designers and video editors, and carrying out basic photo or video editing when required.Manage community communication by responding to comments and direct messages, moderating communities, handling negative feedback in line with agreed guidelines, and referring complex cases to the relevant colleagues.Support engagement activities such as prize draws, competitions, polls and interactive campaigns, including communication with participants, monitoring progress and helping to summarise results.Monitor trends and competitors across English- and Russian-speaking social media, identify relevant topics and formats, and suggest ways to adapt them to the brand and its audiences.Track social media performance by collecting statistics on publications and activities, maintaining reports in Google Sheets / Excel, monitoring reach, views, engagement and follower growth, and contributing ideas for further improvement.What we offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Location: London 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 ROLE We are looking for a Research Engineer to help develop our Geospatial Visual Localization technologies, which allows people and robots to accurately localize themselves anywhere on the planet. This is an end-to-end applied research role. You will develop new approaches to open problems alongside our researchers in 3D vision and machine learning, and publish your work at leading conferences. You will help build and train large models on large-scale multi-modal datasets, including our proprietary collection of 30 billion posed images and ship them into production, to be used by people and robots from all over the world. Our team works with heterogeneous captures from phones and other handheld devices, 360 cameras, vehicles, and drones, as well as aerial and satellite imagery, LiDAR, and external geographic data. Your focus will be to improve accuracy and robustness across urban and rural locations, cameras, seasons, weather, and capture quality. The system must remain reliable with noisy GPS, in GPS-denied environments, and with outdated reference maps. Each pose estimate comes with an uncertainty that our customers rely on, and keeping it well calibrated across these conditions is part of the work. WHAT YOU'LL DO - Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning. - Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness. - Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps. - Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale. - Communicate results clearly through technical writing, design reviews, internal presentations, and publications. WHAT YOU'LL BRING - Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field. - Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion. - Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention. - Knowledge of geospatial data and coordinate reference systems. - Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. - Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems. - Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication and the ability to collaborate across research and engineering disciplines. NICE TO HAVE - A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required. - A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals. - Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London 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 | 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 Anthropic's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Director, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it. You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them. You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you. Key responsibilities Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end Own O2C policies, control ownership, and segregation of duties Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection Minimum qualifications Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials) Proficiency with SQL or similar tools for analyzing and testing transactional data Experience using automation or AI for monitoring, testing, or reporting Preferred qualifications 10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order-to-cash at a public company A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment A degree in Accounting, Finance, Business, Engineering, or a related field CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification Experience building or scaling a SOX program, including readiness for public-company reporting requirements Experience with global, multi-entity operations, including statutory invoicing and tax considerations Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections Experience working with go-to-market, deal desk, and revenue operations organizations Strong cross-functional influence and clear communication about issues and decisions Understanding of AI industry business models and enterprise customer needs 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 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Colombia About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Want to know what you’ll be doing? You will work on our data infrastructure platform which supports the B2 Object Storage and Computer Backup products, responsible for the data infrastructure that everything runs on. You will help improve automation, observability and stability for durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Design and build automation frameworks that let other engineers provision, configure, and repair fleet infrastructure themselves Design and extend the observability stack (metrics, logs, traces, alerts) that tells us whether the storage platform is healthy and where it is degrading Build reporting, dashboards, and visualizations that give engineering and leadership a clear view into fleet health, capacity, and operational trends Build system health tooling that detects failing hardware, drifting configuration, and capacity risk before they turn into incidents Lead technical design discussions and produce clear design documents for changes that span multiple services and teams Drive the implementation of large features from design through rollout, including the migration and backfill work that real systems require Partner with the on-call rotation to turn recurring toil and incident findings into automation and better signal The Right Fit: 7+ years of backend development in an enterprise environment, working in an object-oriented or systems language (Java, Rust, C++, C#, Go, or similar) Experience designing automation frameworks or platforms that other engineers build on Experience building large scale software systems running on thousands of servers Experience building automation or tooling that other engineers depend on daily, whether internal platform services, operational tooling, or a deployment and configuration pipeline Working knowledge of an observability stack (Prometheus, Grafana, OpenTelemetry, ELK, Datadog, or equivalent), including instrumenting a service and designing alerts people trust Strong Linux fundamentals and comfort operating in a bare-metal or hybrid environment rather than a fully managed cloud Professional experience incorporating AI-assisted development tools (Gemini, Cursor, Claude Code, or similar) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java Experience with configuration management or infrastructure-as-code tooling (Ansible, Salt, Puppet, Chef, Terraform) Experience designing SLOs and error budgets, or reducing alert noise on a fleet running at scale Experience with time-series databases and query languages such as PromQL Experience automating hardware lifecycle work: burn-in, failure detection, drive replacement, decommissioning Experience with discovering and implementing performance improvements, including CPU and IO Understanding of Linux internals and file systems Familiarity with hard drive performance and optimization, including host-managed SMR Experience building and interpreting models, dashboards, or reports At this point, we hope you're feeling excited about the job description you're reading. Learning, developing, and growing are key parts of our culture, so even if you don't meet every requirement, we still encourage you to apply. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to a team creating products, games and experiences enjoyed by fans around the world. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. About the role In this role, you will support packaging development across Hasbro’s toy and game portfolio, with the chance to work on brands such as Nerf, Play-Doh, Star Wars, Transformers and Marvel. You will use ArtiosCAD to design and develop dielines and work with a cross-functional team to evaluate cost and help deliver projects on time. What you’ll do Design packages that consider perceived value, aesthetic appeal and branding direction throughout the product development cycle. Develop packaging concepts through brainstorms and sketches for toys and games. Create 2D and 3D CAD files for cost effective, sustainable and creative packaging. Create detailed packaging specifications and bills of materials. Prototype fully assembled packaging, including packaging whites and blisters. Work with cross-functional partners to evaluate cost and keep projects on schedule. What you bring You are currently enrolled in a university degree program in Packaging Engineering or Packaging Science (preferred). Students in Mechanical or Paper Engineering programs with completed packaging coursework will also be considered. Creative and conceptual thinking, problem-solving and attention to detail. Ability to brainstorm package concepts and explain them through sketches and conversation. Ability to prioritize and manage multiple projects. Strong interpersonal skills and a team-oriented mindset. Openness to improvement through personal goals and constructive feedback. Familiarity with 2D and 3D CAD tools such as ArtiosCAD and SolidWorks is helpful, shown through coursework, projects or other experience. Coursework or projects in packaging design, materials or structural design are helpful. Knowledge of Adobe Photoshop is a plus. Work samples: No portfolio is required. You may share sketches, CAD files, or a class, club, work or personal project that shows how you approach design problems. Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the co-op. Previous graduates are not eligible. You can commit to the full program schedule and work model. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome; previous internship or co-op experience is not required. If you do not match every preferred skill, we still encourage you to apply. Opportunity details Co-op start and end dates: January - July 2027 Schedule: Full-time, 40 hours per week Work model: Hybrid Location: Boston, MA Application deadline: Applications will be reviewed on a rolling basis, as needed. Pay and benefits This is a paid co-op. Hourly rates vary by degree level and year in school. Boston hourly rate: $31 - $35 What happens after you apply Our Early Careers team reviews applications. Selected candidates will interview with the hiring team. Please keep your contact information and availability current. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $31 — $35 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to a team creating products, games and experiences enjoyed by fans around the world. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. About the role In this role, you will help design new toys, develop unique product interactions and explore innovative technology. You will work on brands such as Hasbro Gaming, Furby and Star Wars, brainstorming new toy ideas, building electronic prototypes and taking them from concept to production alongside your colleagues. Co-ops are responsible for electronic schematics, programming and gameplay design, and also evaluate competitor products, provide feasibility assessments for new concepts and build rapid prototypes. You will also have the chance to take part in Hasbro’s co-op design challenge, working with a team to bring an original toy idea to life through prototyping, development checkpoints and a final presentation. What you’ll do Design and iterate electronic schematics. Build and test electrical prototype boards, including soldering and debugging. Write IC programs for electronic toys in an environment similar to Arduino. Refine product gameplay for program development. Identify and troubleshoot problems with development models. Research new technologies and evaluate competitor products. What you bring You are currently enrolled in a university degree program and have completed at least one year toward a BS in Electrical, Computer, or Robotics/Animatronics Engineering. Programming skills and knowledge of electronic theory. Experience soldering and using standard electronic test equipment, such as a multimeter or oscilloscope. Strong communication, time management and interpersonal skills. Nice To Have: CAD experience in SolidWorks or OnShape Machining familiarity Prior project work or co-op experience in product design engineering, animatronics or mechanism design Work samples: No portfolio is required. You may share a class, club, work or personal project, such as a circuit, program or prototype you built. Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the co-op. Previous graduates are not eligible. You can commit to full-time, in-person work at our Boston, MA office for the entire co-op. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome. If you do not match every preferred skill, we still encourage you to apply. Opportunity details Co-op start and end dates: January - July 2027 Schedule: Full-time, 40 hours per week Work model: In person at our Boston, MA office Location: Boston, MA Application deadline: Applications will be reviewed on a rolling basis, as needed. Pay and benefits This is a paid co-op. Hourly rates vary by degree level and year in school. [Location] hourly range: $31 - 35 USD The pay transparency range for this role is listed above. The hiring range will vary based on factors such as experience, skills, location and market conditions. What happens after you apply Our Early Careers team reviews applications. Selected candidates will interview with the hiring team. Please keep your contact information and availability current. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $31 — $35 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Mapbox US Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO Whether you’re ordering on DoorDash, navigating in a BMW, checking the forecast on The Weather Channel, or sending snaps on Snapchat, Mapbox powers the location experiences within the apps and products people use every day. As the developer platform for live location, we’re evolving how people interact with maps and location data, including bringing AI-powered capabilities into our products to create smarter, more dynamic experiences. The Maps team builds services that reach approximately 750 million monthly active users, collecting ~318 million miles of location and navigation data per day. We help developers create and share maps that reflect the complexity of our ever-changing world and see exciting opportunities leveraging AI to make maps more intelligent, accessible, and powerful. WHAT YOU'LL DO As a Product Manager II on the Maps team, you will own how AI shows up in Mapbox Maps: the strategy, roadmap, and delivery of AI-powered capabilities across the Maps (Web, iOS, Android), from natural-language map interaction to AI-assisted styling and contextual map intelligence. You will partner with a globally distributed engineering team, external customers, and stakeholders across Sales, Engineering, Legal, Marketing, and Finance to explore emerging AI capabilities, translate customer needs into better product experiences, and ship solutions that drive customer success and business growth. You’ll bring an AI-forward mindset to both strategy and execution, turning new technologies into practical, scalable capabilities for developers and the end users they serve. You can expect to: - Define and execute end-to-end vision and strategy for your product. - Conduct analysis to inform your product roadmap and prioritize product backlog. - Work with your engineering team(s) and the broader organization to explore and implement new use cases for your product that address customer pain points and unlock new revenue opportunities. - Collaborate with cross-functional teams to align product goals and delivery phases with overall business objectives. - Regularly engage with our customers to understand their needs, as well as validate our proposed solutions. - Own pricing and packaging of your product as a standalone SKU (including sales enablement, marketing, customer trials, partnership opportunities). - Become the expert and point of contact of your product for internal and external questions, feedback, and requests. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  3+ years of experience as a Product Manager: You have seen multiple products (API, SDK, or Data) through a full lifecycle of discovery, development, launch, and adoption in the B2B space. - Customer focus: You care deeply about your customer’s problems with a keen eye towards design and user experience. - An analytical approach: You have strong data analytics skills and always use data to properly evaluate the quality of your product, as well as guide your next steps. - Prioritization: You have clear rationale behind the tradeoffs you make and strive to deliver immediate/tangible value to customers. - Strong written and verbal communication skills: You can communicate about complex ideas concisely to a wide audience (e.g. FAQs and business cases for your roadmap). - Ownership: You can develop and execute a plan based on high level direction for feature or product development. - Invent & Simplify: You drive toward the simplest possible solution that drives the most value for customers. - Technical Chops: You understand and can explain complex technical concepts to a non-technical audience. - Go-to-market experience: You have taken your product to market owning the pricing and packaging strategy. - Nice-to-haves: Experience working with AI/ML teams and passion for the mapping or navigation domain space. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. Our annual base compensation for this role ranges from $150,025 - $202,975 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here. Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-DNI

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: Lisbon, Portugal or London, UK About the Role Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and identify transit provider policy change that is required to resolve. Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. Compensation ● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000 The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. 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: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design, build, and deliver enablement programs that drive productivity across our fast-growing European sales and sales engineering teams, including supporting new hire onboarding cohorts as they ramp in seat, in region. - Use AI tools to create content faster, run AI-driven role-play and call coaching, and give sellers self-serve answers to their questions. - Own training on the tools EMEA sellers and SEs use daily for account research, call prep, call recaps, pipeline updates, and drafting outreach and proposals. - Teach sellers when to trust AI output, how to verify it, and how to handle customer data under EU privacy and regulatory requirements (GDPR, EU AI Act), so every seller can explain, demo, and stand behind how Sierra uses AI with customers. - Create playbooks and programs, track adoption and impact (tool usage, time saved, ramp speed, deal velocity), and report results to EMEA and global sales leadership. Turn the best field practices into shared prompts, playbooks, and workflows for the global enablement team. - Localize and launch global sales plays in EMEA (flagging any that don’t translate), collect field feedback for the global Programs Lead, and support regional launches with Sales Leadership and Marketing. WHAT YOU’LL BRING - 5+ years in sales enablement at a B2B software company, with exposure to both onboarding and plays - Experience adapting centrally built programs for a regional audience - Evidence of leadership: prior people management, or leading projects and mentoring others, and a genuine interest in leading a team - Credibility with senior sales leaders and experienced sellers and SEs, and a strong facilitator - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work - Comfortable working independently with a team several hours behind you EVEN BETTER… - Experience in AI or enterprise software - Additional European languages - Experience as the first enablement hire in a region - Experience hiring or building a team - Experience running an AI fluency or AI tooling program for a sales team - Familiarity with the EU AI Act or GDPR as they apply to how sales teams use AI OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Our Passenger team builds the app our clients use every day and makes journey booking easy and fast: from pickup and boarding, including airport pickups, to concierge requests and changes on the go. We’re looking for a Senior iOS Engineer to join a team that owns its product areas end to end and focuses on what matters: clean, modular, well-tested code and polished, responsive interfaces, shipped continuously. Our apps are written in Swift. The stack includes UIKit, The Composable Architecture, Swift Concurrency and Combine, and a modular codebase built with Tuist. Releases are automated with GitHub Actions and Fastlane. Our interview process includes a recruiter screen, an iOS platform interview and a live coding session in Swift. Senior candidates also complete a structured review of past experience and achievements. Responsibilities Build and ship new features in our iOS app in Swift, owning them from technical design to release and further development. Design clean, modular and testable code with clear responsibilities and extension points, and help evolve the app architecture. Build polished, responsive interfaces and animations that match our design standards. Work closely with product managers, designers, backend engineers and QA to turn product requirements into concrete technical solutions. Keep the app fast and reliable: improve performance, stability, test coverage and production monitoring. Requirements 5+ years of professional native iOS development, including recent roles, building user-facing apps used in production. In-depth knowledge Swift, ARC, concurrency (GCD and Swift Concurrency) and the UIKit rendering and layout model Ability to structure a solution, choose the right level of abstraction and clearly explain trade-offs. Intermediate (B1) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

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 . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. You will lead models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. The work connects supply and demand forecasting, audience availability, response prediction, and marketplace simulation to help advertisers compare alternatives and recognize valuable opportunities they may be missing. This is a hands-on technical leadership role with ownership of modeling direction, evaluation standards, and reusable production capabilities across advertiser planning and recommendations. What you’ll do Lead forecasting and scenario modeling. Translate advertiser questions into models of delivery, reach, performance, and investment tradeoffs. Set technical direction and guide execution across the team. Connect inventory, demand, and response. Combine forecasts of available advertising opportunities, audience activity, marketplace competition, and predicted response to estimate achievable delivery and performance. Estimate outcomes under alternative choices. Develop models that account for changes in budget, bid, audience, and optimization objective, including interactions among these choices, auction dynamics, and campaign constraints. Quantify unrealized opportunity. Incorporate creative-performance estimates from partner teams to assess how stronger creative could have improved campaign results. Translate those inputs into potential gains in delivery, efficiency, or advertiser value. Build models that generalize. Apply probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or related approaches to handle sparse segments, cold start, delayed feedback, and changing conditions. Establish trustworthy comparisons. Evaluate numerical accuracy, calibration, uncertainty, and cohort-level performance. Define supported scenarios and identify when additional evidence or experimentation is needed. Close the learning loop. Compare recorded predictions with mature outcomes, diagnose systematic errors, and validate scenario estimates through experiments and observed results. Own production delivery and technical leadership. Partner with engineers on reliable training, serving, monitoring, and iteration. Lead designs, mentor engineers, and collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams. What we’re looking for A track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data. Depth in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling . Strong judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions required to estimate outcomes under changed conditions. Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels. Strong programming and software engineering skills, including experience building and operating production ML systems. Demonstrated ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers. Preferred experience Complementary depth in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting. Relevant methods include probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, conditional win-rate and price models, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or composition of multiple predictive models. Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling. Advanced predictive methods: Mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models. What success looks like Accurate and calibrated forecasts across priority advertiser populations; credible comparisons of supported campaign alternatives; reusable capabilities across planning and recommendations; and evidence that advertisers identify valuable opportunities and make better investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 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: $230,000 — $322,000 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: United States; New York; Los Angeles; Boston; San Francisco; Washington, D.C. Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for someone to join our team in Revenue Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. Each Revenue Strategy & Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness. - Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting. - Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area. - Data-Driven Strategy - Oversee analytics and performance analyses across their associated functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement. - Reporting & Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - 4+ years of Revenue Operations at high-growth technology companies - Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution. - Can break complex problems into smaller, actionable solution steps - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma) - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Highly adaptable, with a proactive approach to problem-solving and process improvement. - Strong coachability and willingness to learn and adapt to new challenges. What we offer - High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) - Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings. - Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: Gurugram,, Haryana, India N E O L Y T I X Associate – Learning & Development Human Resources · Reports To: TL – Learning & Development FUNCTION HR – L&D EXPERIENCE 1–3 Years LOCATION Gurgaon (Onsite) SHIFT UK (1:30–10:30) About the Role Neolytix is looking for an organized and proactive Associate to join our Learning & Development team at our Gurgaon (Udyog Vihar) office. This role owns the complete onboarding and induction experience for new joiners, drives internal policy communication, and supports employee engagement and development initiatives. The ideal candidate is a strong communicator with excellent written and spoken English, highly organized, and comfortable working UK-shift hours from the office. You’ll be the face new joiners meet first — so how well people settle in, and how clearly policy and communication land across the company, is yours to own. Key Responsibilities Onboarding & Induction Plan, coordinate, and conduct end-to-end onboarding for new hires, ensuring a smooth and welcoming joining experience. Design and deliver induction programs covering company culture, policies, tools, and role expectations. Coordinate with department heads/managers to align onboarding and induction content with teamspecific requirements. Act as the point of contact for new employees during their initial weeks — addressing queries and ensuring a smooth settling-in. Policy & Internal Communications Draft, update, and roll out HR policies — clear, compliant, and easily accessible to all employees. Prepare and share timely announcements and internal communications (policy updates, events, org changes). Maintain accurate documentation and records related to onboarding, induction, and policy acknowledgments. Training Needs & L&D Support Support the L&D team in organizing training sessions, workshops, and employee-development programs. Conduct Training Needs Analysis (TNA) and Training Needs Identification (TNI) across teams. Support Training Needs Evaluation (TNE) to measure training effectiveness and close skill gaps. Employee Experience & Reporting Collect feedback from new joiners and continuously improve the induction journey. Track onboarding metrics and prepare reports for HR leadership. Skills & Experience Must-Have 1–3 years of experience in HR, preferably in onboarding, induction, or L&D functions. Strong presentation and interpersonal skills; able to engage confidently with employees at all levels. MS Office proficiency (Word, PowerPoint, Excel) and comfort drafting policy/communication documents. Advanced Excel (pivot tables, VLOOKUP/XLOOKUP, dashboards) for tracking onboarding metrics and training reports. AI-friendly — comfortable using AI tools (e.g., ChatGPT/Copilot) to speed up content drafting, training material, and reporting. Highly organized and detail-oriented, able to manage multiple onboarding batches/tasks simultaneously. Preferred Exposure to or interest in TNA/TNE/TNI methodologies for identifying and evaluating training needs. Prior experience in a UK-shift, international, or BPO/ITES environment. Eligibility Criteria Education: Bachelor’s degree in Human Resources, Business Administration, or a related field is mandatory and must be completed — candidates currently pursuing or with an incomplete graduation are not eligible. Communication: Excellent verbal and written English is essential — this is a communication-, presentation-, and policy-drafting-heavy role. Work mode & shift: Onsite at Neolytix Office, Udyog Vihar, Gurgaon (work from office; no remote/hybrid). UK shift, 1:30 PM – 10:30 PM IST. Working days as per company policy. Notice period: Immediate joiners or candidates on short notice preferred. Performance Expectations You will be measured on clear, role-specific outcomes: New-joiner onboarding experience / satisfaction scores. On-time completion of induction batches and policy acknowledgments. Quality, clarity, and timeliness of policy and internal communications. TNA/TNI coverage and measurable training-effectiveness (TNE) outcomes. Why Join Neolytix Own the First Impression Own the full onboarding and induction journey — real ownership from day one. Broad HR Exposure Work across onboarding, policy, communications, and L&D — not one narrow slice. Visible to Leadership Your reports and improvements go straight to HR leadership. Modern, AI-Enabled HR Use AI tools to work faster on content, training material, and reporting.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Driver Growth Marketing Principal , you will lead top-of-funnel driver acquisition and sourcing strategies across North America. Bridging performance marketing, local brand presence, and community engagement, you will own candidate sourcing from awareness through initial application. You will champion recruiting safe, exceptional driver partners who serve as true brand and community ambassadors, helping expand accessible transit throughout North America. What You’ll Do: Drive Data-Driven Sourcing & Spend Allocation: Own multi-market driver acquisition budgets across paid digital (Meta, Google, Programmatic), hyper-local media (OOH, direct mail, radio), and community channels. Continuously monitor data-driven KPIs to scale applicant volume while aggressively reducing Cost Per Applicant (CPA) and Cost Per Hire (CPH). Recruit Safe, High-Quality Community Ambassadors: Craft performance marketing positioning, messaging, and sourcing tactics specifically tailored to identify, attract, and activate driver partners who uphold high standards of safety, service excellence, and community representation. Execute Supply-Side Experimentation & Media Optimization: Formulate hypotheses and run rapid A/B and multivariate tests across creative messaging, audience targeting, landing pages, and referral incentives to establish playbooks that maximize driver conversion, retention, and lifetime value. Analyze Funnel Dynamics & Operations Handoffs: Deep-dive into driver conversion metrics across operational models to pinpoint drop-off bottlenecks and seasonal supply constraints, collaborating closely with the Driver Success team to ensure seamless handoffs from sourcing to onboarding. Scale Grassroots & Localized Playbooks: Partner with local workforce boards, community organizations, and municipal transit partners across North America to build grassroots driver-get-driver initiatives, local activation events, and high-converting candidate pipelines. Build Performance Dashboards & Reporting: Partner with analytics teams to build robust self-serve dashboards (Tableau / AI tools), tracking acquisition cohort health and reporting actionable funnel efficiency insights to leadership. Who You Are: Experienced professional with 6+ years of growth marketing experience Resourceful, a problem solver who is motivated by high levels of ownership and the opportunity to have a measurable impact Creative problem solver and continuous experimenter who challenges the status quo Customer-centric storyteller with exceptional written and interpersonal communication skills, particularly in explaining complex ideas to diverse audiences You have a proven track record of managing teams (at least 3-5 years) and developing people - you know how to motivate and get the best work out of every person who you work with Strong analytical skills - comfortable in SQL, Excel/Sheets, and BI tools Proactive, a critical thinker with a no-task-too-small attitude while navigating a fast-paced environment Preferred Qualifications: Prior experience driving driver/courier/supply acquisition in a mobility, rideshare, or delivery network (e.g., DoorDash, Uber, Lyft, Instacart). Proficiency across paid digital (Meta, Google, DSPs), hyper-local offline media (OOH, direct mail, radio), and community-based recruiting channels. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $130,000 - $165,000 / year We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. Ready to join the ride? Via is an equal opportunity employer.