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Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have: - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

The Executive Assistant role at Figure involves providing high-level support to the CEO and CFO by managing their complex and frequently changing schedules, coordinating meetings with investors, board members, and senior executives, and handling detailed domestic and international travel arrangements including itineraries and expense reports. The position also includes overseeing daily operations of the New York City office, which serves about 50 employees, managing vendors, building services, supplies, onboarding logistics, and providing occasional IT support. Additionally, the role requires planning and executing executive and departmental offsites, leadership events, and office gatherings, managing budgets, venues, catering, and vendor relationships. The assistant will lead special projects and cross-functional initiatives to support leadership. Candidates must have over five years of experience supporting C-suite executives in fast-paced environments, with strong organizational skills, discretion, and proficiency in Google Workspace, Zoom, and Slack. The role requires working on-site in NYC Monday through Thursday and authorization to work in the U.S. without visa sponsorship. Compliance with company security policies and training is mandatory. Preferred qualifications include experience in publicly traded companies, financial services, fintech, or high-growth tech sectors, and familiarity with board meeting coordination, corporate governance calendars, workplace operations, or event planning. The technology stack includes Google Workspace, Zoom, and Slack. Benefits encompass comprehensive medical, dental, and vision coverage fully paid by the employer for employees and dependents on select plans, various flexible spending accounts, 401(k), commuter benefits, employer-paid life and disability insurance, 11 holidays plus PTO, up to 12 weeks paid family leave, continuing education reimbursement, a 25% annual bonus target paid quarterly, and company equity through RSUs.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Manager of Strategic Account Executives at Ramp, you'll lead the team responsible for winning our largest and most complex customers. Reporting to our Enterprise Sales Leader, you'll coach a team of Strategic AEs through long, multi-threaded sales cycles while building a culture of rigor, accountability, and high performance. This is a hands-on, player-coach role. You'll spend your time in the deals with your team: running deal strategy, joining executive meetings, navigating procurement and security reviews, and helping close transformational, multi-product deals. You'll partner closely with solutions consulting, account management, product, marketing, partnerships, and finance to make sure we win, and win in a way that sets customers up for long-term success. Most Critical Traits 1/ Strategic Deal Leadership: You are an expert at running complex, high-value deals with many stakeholders, long cycles, and significant contractual, technical, and financial scrutiny, and you can teach your team to do the same. 2/ Coaching and Developing Talent: You make good AEs great. You coach through live deals, give direct feedback, and build repeatable habits across the team. 3/ Operational Rigor: You run a disciplined team. You forecast accurately, inspect pipeline closely, and use data to spot risks and opportunities early. What You'll Do - Lead, coach, and develop a team of Strategic AEs selling into Ramp's largest prospects - Own your team's pipeline, forecast, and revenue targets, and deliver predictable results quarter over quarter - Get directly involved in key deals: build account strategies, multi-thread into executive teams, and help navigate procurement, legal, IT, and security processes - Run rigorous deal reviews and pipeline inspections to improve win rates, deal velocity, and deal size - Partner with solutions consulting, account management, product, and support to deliver tailored, multi-product solutions and smooth handoffs post-close - Bring customer and market insights back to product and GTM leadership to shape the roadmap and Enterprise strategy - Recruit, hire, and onboard top strategic sales talent as the team grows - Help execute the Enterprise GTM strategy set by the Enterprise Sales Leader, and contribute ideas to improve it What You'll Need - 3+ years of experience managing quota-carrying enterprise or strategic sales teams, with a track record of hitting or exceeding targets - A background as a top-performing enterprise or strategic AE closing complex, six- and seven-figure deals - Deep experience running long sales cycles with multiple stakeholders, including the C-suite, procurement, legal, and IT - Strong forecasting and pipeline management discipline, and comfort using data to drive decisions - A proven ability to coach AEs through live deals and develop them into stronger sellers - Strong cross-functional collaboration skills, with experience partnering closely with solutions, product, and post-sales teams - Excellent communication skills, including the ability to articulate contractual, technical, and financial value to executive buyers Nice-to-Haves - Experience selling to CFOs, Controllers, and finance leaders - Financial services or fintech experience - Experience selling platform or multi-product SaaS solutions that involve ERP or systems integrations - Experience at a high-growth company BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. RESPONSIBILITIES - Recruit, hire, and grow Baseten’s first SRE team in London, with ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and foster a culture of ownership, accountability, and continuous improvement. - Own the reliability of Baseten’s multi-cloud Kubernetes infrastructure during your team’s hours, including incident response, post-mortems, and remediation tracking. - Partner with SRE leadership in the US to design follow-the-sun on-call rotations, escalation paths, and handoff processes. - Serve as the escalation point for major incidents, drive resolution with urgency, and make sure the team learns from every incident. - Drive technical decisions through design reviews, code reviews, and architectural discussions. Turn the reliability roadmap into clear team priorities and milestones, and hold the team accountable for delivering them. - Lead the team in defining and instrumenting SLOs and SLIs, and in building observability infrastructure (metrics, logging, dashboards, and alerting) as code. - Turn recurring failure patterns and tribal knowledge into runbooks, automated mitigations, and self-healing systems. - Partner with engineering, forward deployed, capacity, and product teams to raise the operational floor across the company, and represent your team’s progress, capacity, and tradeoffs clearly to leadership. - Ensure the fleet is healthy and operational across all clusters. Interact with vendors and internal teams to remediate node failures and reliability concerns. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. REQUIREMENTS - 4+ years of experience directly managing engineers in an SRE, cloud infrastructure, or platform engineering context. - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Strong background building and maintaining scalable production infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience leading incident response, running post-mortems, and building on-call rotations and runbooks. - Track record of recruiting and growing engineering talent. - Strong written and verbal communication skills, with the ability to collaborate across time zones and influence without direct authority. - Openness to learning about ML infrastructure. Prior machine learning experience is not required. - Ability to work onsite in our London office 3 days a week. NICE TO HAVE - Experience building a new team or establishing an engineering presence in a new region. - Observability-as-code experience. - Background in multi-cloud and hybrid environments. - Familiarity with incident management platforms (incident.io http://incident.io or similar). - Background in GPU infrastructure, or in diagnosing runtime issues around latency, memory behaviour, GPU utilisation, and concurrency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (U.S. & Canada) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role We’re looking for a Senior Product Manager to define and drive the strategy for a core part of our marketplace. You’ll own a product area end to end, from identifying the right problems through launch and long-term iteration, and you’ll work closely with Engineering, Design, Data, and business leaders. At our size, this is a high-autonomy, high-impact role. You’ll operate with ambiguity, make consequential decisions with incomplete information, and align teams around a clear direction. Your work will directly influence how families discover learning and how educators build successful businesses on Outschool. Core Responsibilities: - Set the vision and strategy for your product area. Define the customer problems worth solving, the outcomes to pursue, and a multi-quarter strategy and roadmap, including what we will not do. Connect your strategy to company priorities and influence those priorities with evidence. - Develop deep customer insight. Talk directly with families and educators, partner with customer-facing teams, and combine qualitative research with quantitative analysis to uncover opportunities others haven’t seen. - Balance a two-sided marketplace. Make thoughtful trade-offs between the needs of families and educators, grounded in customer value and business impact. - Make high-stakes decisions and own the outcomes. Weigh evidence, technical constraints, and business goals to make clear recommendations and decisions. Communicate the reasoning, work through disagreement constructively, and adjust course when the evidence changes. - Lead across the organization without formal authority. Build alignment among Engineering, Design, Data, Marketing, Operations, and senior leadership. Resolve conflicting priorities, establish clear ownership, and keep initiatives moving. - Drive execution and launch. Partner with your team to define success measures and make practical scope decisions that balance speed and quality. Anticipate risks and dependencies, and ensure customers can discover, understand, and adopt what we build. - Own results after launch. Measure customer and business impact, test assumptions, share what you learn, and use the evidence to scale, iterate, or stop work. - Raise the bar for product craft. Model strong product thinking, write clear strategy and decision documents, and mentor other PMs and cross-functional partners. - Apply AI thoughtfully. Use AI to accelerate research, prototyping, and analysis, and identify where AI can create meaningful customer value. Desired Experience & Skills: - 6+ years of product management experience, including 3+ years owning a significant software product or product area from discovery through launch and iteration, with a track record of measurable customer and business impact. - Demonstrated ability to define product strategy and vision in ambiguous environments, and to translate it into a prioritized, outcome-driven roadmap. - Strong cross-functional leadership. You’ve earned trust across technical and business teams, influenced senior stakeholders, and moved complex initiatives forward without formal authority. - Excellent communication. You write concise, compelling briefs and strategy narratives, explain decisions and trade-offs to different audiences, and listen carefully. - Sound product judgment grounded in customer needs, data, business goals, and technical constraints, with the confidence to make decisions with incomplete information. - Strong analytical skills, including comfort defining metrics, designing experiments, and drawing insight from data. - A high degree of ownership. You identify what needs attention, propose a path forward, and follow through. - The ability to give and receive direct, constructive feedback, and to take responsibility for the impact of your decisions. - A genuine interest in expanding access to learning and improving the experience of families and educators. What success looks like: - First 90 days: You’ve built deep customer and business understanding, earned the trust of your partners, and presented a clear point of view on strategy and priorities for your area. - 6 months: Your team has a shared understanding of the problems, goals, and reasoning behind key decisions, and you’ve shipped meaningful improvements with a clear adoption plan. - 12 months: Your product area shows measurable progress against agreed customer and business goals, your decisions and learnings are shaping broader company priorities, and you’re raising the bar for how product work gets done. Other Considerations: - Building products for a consumer marketplace, education business, or another environment with multiple customer groups. - Working in a small or growing company where priorities evolve and PMs stay close to execution. - Mentoring or coaching other product managers. - Hands-on use of AI tools in product discovery, prototyping, or delivery, or experience shipping AI-powered features. Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. For Canadian-based candidates, compensation range for this role is $172,000 - $193,500 CAD annually. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: $208,000 - $234,000 US Tier 2: $176,800 - $198,900 US Tier 3: $156,000 - $175,500   Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: Philippines We are seeking an articulate, highly organized, and dependable Virtual Front Desk & Patient Communications Coordinator to join our team in supporting a high-volume U.S. medical practice. In this front-line remote role, your primary focus will be managing inbound and outbound patient communications, coordinating provider schedules, and maintaining clean patient records. As a secondary responsibility, you will assist with verifying insurance eligibility and processing prior authorizations through payer portals. Because this position requires extensive daily interaction with U.S. patients, medical staff, and insurance representatives over the phone, hands-on proficiency with AthenaOne EHR and exceptional, accent-neutral verbal English communication are absolute, non-negotiable requirements. You must be comfortable managing high call volumes via RingCentral , operating independently under standard practice protocols, and handling confidential patient records in full compliance with HIPAA regulations. Working Environment & Core Schedule Role Title: Virtual Front Desk & Patient Communications Coordinator Status: Full-Time (40 Hours / Week) Schedule: Monday – Friday, Standard U.S. Business Hours (e.g., 8:00 AM – 5:00 PM EST / CST / PST) Core Technology Stack: AthenaOne EHR , RingCentral (VoIP & Messaging), Insurance Payer Portals, Secure Practice Email Primary Scope: Inbound/Outbound Phone Triage, Patient Scheduling, Front Desk Records Management, Secondary Insurance Eligibility & Prior Authorization Support Top 3 Daily Tasks Inbound/Outbound Call Management: Answer high-volume patient calls and voicemails via RingCentral, address routine inquiries, route clinical concerns to medical staff, and document phone interactions in AthenaOne. Patient Scheduling & Calendar Coordination: Book, reschedule, and confirm consultations and follow-up visits, follow up on no-shows/cancellations, and optimize provider schedules in AthenaOne. Insurance Eligibility & Prior Authorization Support: Perform real-time benefits verification, initiate and track prior authorization requests across payer portals, and log authorization status updates in AthenaOne. Core Responsibilities Patient Communications & Call Handling: Manage heavy phone call traffic via RingCentral, providing warm, professional, and clear verbal communication for scheduling, general practice inquiries, and follow-ups. Appointment Scheduling: Execute patient scheduling in accordance with practice-specific provider rules, send pre-appointment instructions, and actively manage recall/wait lists. Front Desk Records Administration: Collect and update patient demographic data, insurance information, and medical histories inside AthenaOne EHR , ensuring full data accuracy. Insurance Eligibility & Benefits Verification: Verify commercial, Medicare, and Medicaid coverage prior to appointments to determine active benefits and patient cost-sharing responsibilities. Prior Authorization Tracking: Prepare, submit, and monitor prior authorization requests for diagnostic tests, specialty procedures, and medications, escalating complex denials or urgent needs to clinical leads. HIPAA Compliance & Team Coordination: Route patient chart notes and clinical messages securely to providers while adhering strictly to HIPAA privacy policies. Requirements AthenaOne EHR Mastery: Direct, hands-on operational experience navigating AthenaOne EHR for appointment scheduling, patient demographic updates, and chart documentation. Medical Front Desk Experience: Proven background managing high-volume inbound/outbound calls and front-desk workflows in a U.S. medical clinic or virtual assistant setup. Fluent English Communication: Flawless verbal and written English skills with a clear, accent-neutral phone presence and high listening comprehension during fast-paced calls. Patient Scheduling & Prior Authorization Background: Demonstrated proficiency in booking complex patient appointments and executing prior authorization requests through insurance portals. HIPAA Compliance Knowledge: Solid understanding of U.S. healthcare workflows, medical terminology, and HIPAA patient privacy regulations. Remote Workspace Setup: Dedicated, private home office with a lockable door, high-performance computer (PC/Mac), high-speed primary internet connection, backup internet/power solutions, and a noise-canceling headset. Preferred Qualifications Hands-on experience using RingCentral or comparable cloud-based VoIP platforms. Prior experience supporting a high-volume, multi-provider U.S. medical practice. Deep experience navigating major U.S. insurance payer portals (Availity, Optum, NaviNet) for real-time eligibility and prior authorizations. Ideal Candidate Profile You are a sharp, articulate front-desk professional who thrives in a fast-paced clinical setting. You navigate AthenaOne and RingCentral effortlessly, manage high call volumes with patience and warmth, and keep patient schedules and insurance authorizations running smoothly.

Location: Remote, Canada; 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 Growth Marketing is the activation and delivery arm of GitLab marketing: campaigns, regional and field marketing, lifecycle and product led growth, marketing engineering and operations, corporate events including Transcend, partner marketing, community programs and Co-Create. If a program connects GitLab to a customer or a buyer, it lives here, and the team is accountable for pipeline, first orders, Flex conversion and expansion, and post sale adoption. As Principal Growth Marketing Strategist you work directly with the VP of Growth Marketing as a strategic partner and operator. You hold the whole picture of the engine: the goals every function has committed to, the budget and where it is moving, the strategic projects that do not fit cleanly inside any one function, and the decisions that are waiting on an answer. You keep that picture current, you act on it when the VP is engaged elsewhere, and you use it to move work faster. This is an individual contributor role at the Principal level. You do not manage a team. You manage outcomes across ten functions through influence, judgment and follow through, and you are trusted to speak for Growth Marketing in rooms the VP cannot be in. The people on the leadership team are senior, experienced marketers; they will work with you because you make them faster and sharper, not because of the title. You will be effective in this role if you have led marketing yourself at a senior level, understand how a modern B2B software company makes money, are curious and hands on with AI in your own work, and can move between a budget trade off, a partner negotiation, a pipeline review and a keynote plan in the same day without losing the thread. What you'll do Run Growth Marketing's operating rhythm: goals, business reviews, planning cycles and the metrics inspection behind them, so decisions get made, recorded and followed through. Track commitments across the leadership team between their 1:1s with the VP, so those conversations are about strategy rather than status. Own the strategic projects that matter to Growth Marketing and have no single functional home: scope them, find the owner or be the owner, and land them. Hold the budget picture across the team, prepare trade offs with a recommendation, and act within the authority the VP has delegated in writing. Represent Growth Marketing on the VP's behalf in pipeline reviews, cross functional planning and partner conversations; carry the position in and the decision out. Unblock functional leaders when the VP is engaged elsewhere, or stage the issue so it takes one conversation rather than three. Be a thinking partner to any functional leader who wants one, offered rather than assigned. Partner with marketing's AI Transformation Owner so AI adoption across Growth Marketing is visible, measured and moving. Prepare the VP for high stakes moments: executive updates, leadership material, keynotes, customer and partner meetings, with the numbers checked and the first draft written. What you'll bring Extensive experience in B2B software marketing with senior leadership experience: you have owned a marketing function, a large program budget or a go to market motion, and you have been accountable for a pipeline or revenue number. Breadth across marketing. You have worked in or closely with demand and digital, field and events, lifecycle or product led growth, partner marketing and marketing operations, and you can hold a credible conversation with an expert in each. A track record of landing cross functional projects that nobody owned, through influence rather than authority, with executives, peers and individual contributors. Business fluency: you read a P&L, a pipeline report and a budget model comfortably, you understand consumption and subscription business models, and you can explain a trade off to a CFO in plain language. Program and operating rhythm experience: goal frameworks, business reviews, planning cycles, and the discipline to keep them honest without turning them into bureaucracy. Hands on AI fluency. You use AI tools daily in your own work, you have built or configured something with them, and you are curious about how they change the way a marketing organization operates. Prior experience in a chief of staff, strategy and operations, or business operations role is welcome but not required. Executive communication: concise writing, clear verbal briefs, comfort presenting to and being questioned by VPs and C level leaders, and the judgment to know what travels up and what does not. Discretion. You will handle confidential people, budget and strategy information every day. Familiarity with developer, DevOps or platform engineering audiences, or the ability to get there fast. The ability to use GitLab, and to travel occasionally for events and leadership offsites. About the team Growth Marketing at GitLab is one integrated engine of roughly 100 people across ten functions, led by the VP of Growth Marketing and reporting into the Chief Product and Marketing Officer. The team runs Transcend, GitLab's flagship event program, the GitHub competitive motion, the regional and partner marketing engines in AMER, EMEA and APJ, the lifecycle and product led growth motions behind GitLab's self serve business, and marketing's AI transformation. The leadership team operates on a small set of shared principles: speed with quality, an ownership mindset, and customer outcomes. You can read more about how marketing operates at GitLab in the handbook. 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 $152,800 — $259,200 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: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Technical Program Manager Madison, WI Role Overview As a Senior Technical Program Manager, you will lead the delivery of complex software programs across Commerce Services & Client Experiences within the PlayStation ecosystem. Working closely with engineering, product, design, and quality teams, you will help deliver reliable, scalable services and intuitive experiences that connect players with digital content. You will bring clarity to evolving requirements, build actionable delivery plans, and coordinate execution across multiple teams. This role combines hands-on program leadership with technical understanding, strong judgment, and the ability to build trust and influence without direct authority. You will help teams navigate competing priorities and technical dependencies while keeping customer needs and business outcomes in focus. What You’ll Be Doing Own end-to-end delivery of complex technical programs across multiple engineering teams, driving alignment on outcomes, scope, milestones, dependencies, and launch readiness. Partner with engineering leads, product, and design to clarify requirements, drive technical alignment, surface integration and operational risks, and translate requirements into a sequenced delivery plan. Build and maintain delivery plans with clear milestones, owners, and dependencies, working with engineering leads to account for team capacity and sequencing. Drive cross-team planning and alignment, facilitating the discussions and working sessions needed to make decisions and maintain progress. Manage dependencies across client experiences, backend services, and supporting platforms, ensuring integration points and handoffs are understood and coordinated. Identify delivery risks early, drive mitigation and recovery plans, and escalate issues with clear options and recommendations. Work with product and engineering partners to resolve competing priorities and make informed trade-offs across scope, timing, quality, and technical constraints. Coordinate with engineering, quality, and release partners to support integration testing, issue prioritization, and launch readiness. Communicate program progress, risks, and business impact clearly to technical partners and business stakeholders, highlighting decisions needed and presenting clear options and recommendations. Improve execution across teams by introducing practical changes to processes and tools, measuring their effectiveness, and incorporating feedback. What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 6+ years of technical program or project management experience delivering software products, online services, or consumer-facing experiences. Demonstrated success leading programs across multiple engineering teams, including managing dependencies, aligning priorities, and coordinating releases. Strong understanding of the software development lifecycle, with hands-on experience supporting requirements definition, planning, development, testing, and deployment. Technical understanding of APIs, distributed services, and client-server integration, with the ability to engage engineers on design considerations, implementation trade-offs, and delivery implications. Experience partnering with product and engineering to clarify ambiguous requirements, break down complex work, and manage changes in scope. Practical experience with Agile methodologies, including facilitating planning and delivery activities and using tools such as Jira and Confluence. Strong planning and problem-solving skills, including the ability to assess capacity constraints, anticipate risks, and adjust plans as conditions change. Excellent written and verbal communication skills, with the ability to explain complex issues and present actionable recommendations to different audiences. Proven ability to build trust, resolve disagreements constructively, and influence partners without direct authority. Strong ownership and judgment, balancing attention to detail with an understanding of customer and business impact. Experience working effectively with geographically distributed teams across time zones. Preferred Qualifications Experience with digital commerce capabilities such as storefronts, product catalogs, checkout, payments, subscriptions, or entitlements. Experience delivering customer journeys that span client applications and backend services. Familiarity with the reliability, scalability, security, and privacy considerations of high-volume consumer services. Prior experience in software engineering, systems engineering, or quality engineering. Experience coordinating service integrations, platform migrations, or releases across multiple client surfaces. Familiarity with gaming, digital entertainment, or other large-scale consumer technology environments. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $159,500 — $239,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a As the Manager of Sales Compensation Systems and Analytics, you’ll operate at the center of go-to-market execution —- owning the systems, data, and analytics that power how Fivetran + dbt labs pays its sellers and measures performance against quota. You’ll build and scale the compensation infrastructure, deliver accurate and timely commissions, and provide insights that inform plan design and executive decisions. You’ll partner closely with Sales Leadership, Revenue Operations, Sales Strategy, Revenue Accounting, Payroll, Legal, and Analytics. This role reports to the Sr. Director, Global Sales Compensation and blends sales compensation administration, systems ownership, data analytics, and operational execution. You’ll drive the automation and accuracy of our commission processes, help scale our compensation platform for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging systems, data, and analytics to motivate sales performance and drive operational excellence in a high-growth, cross-functional environment. This is a full-time role with opportunities to connect and build as a team. What You’ll Do Compensation Systems Ownership: Own the configuration, administration, and roadmap of our sales compensation platform (e.g., Xactly, CaptivateIQ, Varicent, or similar), including plan builds, crediting rules, quota and territory loads, and integrations with Salesforce, the data warehouse, and HRIS/Payroll. Partner with Systems and IT on releases, testing, and enhancements. Commission Operations: Oversee the end-to-end monthly and quarterly commission calculation, validation, and payout cycle, ensuring accuracy, timeliness, and compliance with plan documents, including crediting for subscription and consumption-based bookings, overages, and renewals Plan Design Support: Partner with Sales Strategy, Finance, and GTM leadership to model, build, and launch annual and in-year compensation plans, quota structures, and SPIFs; quantify cost of sales and the financial impact of plan changes. Analytics & Insights: Deliver analysis on plan effectiveness, attainment distribution, pay-for-performance alignment, quota capacity, and comp cost as a percent of ARR/bookings to inform decisions by the CRO, CFO, and Sales Leadership. Accruals & Forecasting: Partner closely with Revenue Accounting and FP&A on commission accruals, ASC 340-40 capitalization, variance analysis, and forecast-to-actual tracking of variable compensation expense. Governance & Controls: Own SOX-compliant controls, audit readiness, plan documentation, and dispute resolution processes; ensure data integrity and reconciliation between source systems, the comp platform, and payroll. Automation & Reporting Infrastructure: Use AI tools, SQL (BigQuery), or Python to automate data pulls, build repeatable and auditable processes, and improve the accuracy, speed, and transparency of commission calculations; partner with Analytics, AI Transformation, and Systems on data quality and self-serve reporting. Seller Experience & Reporting: Create automated, executive-ready dashboards and statements (e.g., Looker, Tableau) that give sellers and managers clear, real-time visibility into attainment, earnings, and pipeline-to-pay, and that distill trends into actionable recommendations for GTM leadership. Team Leadership: Provide technical guidance, review work, and help raise the process and analytical standards of the Sales Compensation team Skills We’re Looking For 5-7 years of experience in sales compensation, sales operations, revenue operations, or FP&A, with hands-on administration of a compensation platform Expert-level analytical modeling: builds compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis Built with AI: has personally used AI tools (LLMs, assistants, or automation and agent platforms) to build compensation tools, models, or workflows others rely on, and can explain how they work and how outputs were checked for accuracy Technical aptitude: working proficiency in SQL, Python, or similar scripting; experience with Salesforce, BI tools (e.g., Looker), and data warehouses (e.g., BigQuery, Snowflake) Must have CaptivateIQ Statistical judgment: knows when market data is credible or a sample is too small, and presents ranges without false precision Compensation expertise: job architecture, compensation frameworks, market pricing, pay cycles, global compensation practices, and pay-for-performance design, with knowledge of competitor compensation at high-growth tech companies Reasons from first principles: balances best practice with what the business needs and can rebuild a framework when the standard approach does not fit Trusted advisor to senior leaders on sensitive, high-stakes compensation decisions (offers, promotions, retention, org changes), influencing outcomes through data and judgment rather than authority Operational excellence: connects systems, stakeholders, and programs to deliver compensation end to end, accurately and on time Clear communicator: turns complex analysis into a crisp recommendation an executive can act on in one conversation Experience with usage-based or consumption pricing models and the associated compensation design challenges strongly preferred Bonus Skills​ Experience with Tableau or other BI tools, or building dashboards for leaders Experience supporting GTM or sales organizations at a high-growth tech company Experience scaling compensation programs through hypergrowth, IPO, or major organizational change Background in a quantitative field (e.g., finance, statistics, engineering), or equivalent experience The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $148,104 — $185,130 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Principal Statistical Programmer Consultant to join one of our clients. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. Position Overview We are seeking an experienced Principal Statistical Programmer to provide programming expertise and leadership in support of clinical development programs, primarily focused on solid tumor oncology studies. The ideal candidate will have extensive experience in clinical trial statistical programming, strong SAS programming skills, and in-depth knowledge of oncology endpoints, CDISC standards, and regulatory submission requirements. This individual will contribute to the development and execution of clinical programming deliverables across Phase I–III clinical trials. Key Responsibilities Lead and oversee statistical programming activities for oncology clinical trials, with a primary focus on solid tumor indications. Develop, validate, and maintain SDTM and ADaM datasets in compliance with CDISC standards. Program and review complex TFLs (Tables, Figures, and Listings) for clinical study reports and regulatory submissions. Support oncology efficacy and safety analyses, including Overall Survival (OS), Progression-Free Survival (PFS), Objective Response Rate (ORR), Duration of Response (DoR), and Disease Control Rate (DCR). Demonstrate expertise in Kaplan-Meier analysis, Cox proportional hazards models, and other time-to-event analyses. Work closely with biostatisticians, data management, clinical teams, and cross-functional stakeholders to ensure timely and high-quality deliverables. Provide technical leadership, programming oversight, and mentorship to junior and senior statistical programmers. Review programming specifications, analysis datasets, and statistical outputs for accuracy and consistency. Support regulatory submissions and respond to health authority requests, as needed. Identify opportunities to improve programming standards, processes, and efficiencies. Required Qualifications Bachelor's or Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related discipline. Extensive experience in clinical statistical programming within the pharmaceutical or biotechnology industry. Strong hands-on experience with SAS programming, including SAS Base, SAS Macro, and SAS/STAT. Significant experience supporting solid tumor oncology clinical trials, preferably across Phase I, II, and III studies. Strong knowledge of oncology efficacy endpoints, including OS, PFS, ORR, and DoR. Expertise in CDISC SDTM and ADaM standards. Experience developing and validating complex TFLs for clinical study reports and regulatory submissions. Knowledge of ICH-GCP and regulatory requirements (FDA/EMA). Excellent communication, problem-solving, and cross-functional collaboration skills. Preferred Qualifications Experience with immuno-oncology and targeted cancer therapies. Exposure to clinical trials involving head and neck, lung, colorectal, breast, or other solid tumor indications. Experience with FDA or EMA regulatory submissions. Prior experience providing technical leadership and mentoring statistical programming teams. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #Principal #contract

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a hands-on technologist who likes building things and explaining how they work. You don't need a curriculum background; we'll teach you that. You will'll turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences: data engineers, developers building agents, AI infrastructure engineers accelerating performance with MemKV, storage administrators, and the partner and internal solution architects who support them. Most of your teaching will be recorded, with live sessions about once a month. This role has real variety. On any given week, you might be building a hands-on lab, standing up an agent memory demo, recording a training video, turning engineering documentation into a teachable module for partners, or adapting a core course for a specific customer deployment. You enjoy that variety. You're as comfortable in front of a camera as you are at a command line. You will collaborate closely with engineering and product marketing. You welcome the freedom and opportunity of being part of a startup and have the self-discipline to identify needs and get things done without waiting to be asked. You will be encouraged to help shape the strategy that the MinIO team executes. Experience in a solutions architect or other customer-facing technical role is a strong plus — it helps you understand how customers deploy and operate storage in production and how to make training land in that context. Experience with competitive software-defined storage platforms is also a plus. Strong oral and written communication skills are essential. What You Will Do Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes Build curriculum for AIStor Memory and agentic AI use cases, turning orchestration and memory concepts (context assembly, agent state, retrieval) into practical, hands-on training Turn engineering documentation and demos into training modules for partners Adapt core courses for specific customer deployments and industries Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release Write course content as code: Markdown in git and GitHub, with branches and pull request review Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn Deliver live and recorded training sessions for internal teams and partners Use approved AI tools such as Claude Code to speed up authoring, testing, and review Your Skills and Experience Working proficiency in Linux Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content 5+ years in a solutions architect or equivalent customer-facing technical role 3+ years of experience with software-defined storage, cloud storage, or Kubernetes; hands-on experience with MinIO or competitive platforms (Vast, Cloudian, Weka) is a plus 1+ years of experience with agentic AI infrastructure (e.g., agent memory/orchestration platforms such as LangChain/LangGraph, Mem0, Letta, AWS Bedrock AgentCore, Google Vertex AI Memory Bank) or memory/vector infrastructure (Pinecone, Weaviate, Redis) Experience teaching live and on camera Comfort with Terraform, Ansible, Docker, Python, and related tooling 1+ years building and maintaining workflows in git and GitHub Experience with AI-assisted development tools such as Claude Code Previous experience with curriculum development or formal training delivery What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain's web presence is both a product and a growth engine. Developers visit our site to evaluate our tools, learn what we build, and decide whether to go deeper. We're looking for a Web Lead to own the strategy, quality, and evolution of LangChain's web properties across marketing, product, and education. This is a high-ownership role for someone who thinks in systems and cares about craft. You'll set the strategic direction for how LangChain presents itself on the web, establishing the processes that keep the site accurate and high-performing, leading conversion and SEO initiatives, and partnering closely with content, design, growth engineering, and demand gen to bring it all together. What You'll Do Web Ownership - Lead the web roadmap. Maintain a clear, prioritized view of what needs to be built, fixed, or improved across LangChain's web properties, balancing strategic initiatives with ongoing maintenance, quality, and reliability. Translate business priorities into web plans and drive them to completion. - Coordinate cross-functional web work. Serve as the central point of contact for web across marketing, education, product marketing, design, and growth engineering. Run the intake, review, and launch process so teams can ship web changes with speed and confidence. - Own the site's structural health. Establish and enforce processes for keeping the site accurate, up-to-date, and free of technical debt. This includes governance for page creation and deprecation, content hygiene, and cross-functional intake so nothing slips through the cracks. - Manage the CMS and tooling stack. Own the relationship with our CMS and web tooling vendors. Ensure the right systems are in place for the team to operate efficiently, and evaluate new tools as the site's needs evolve. Conversion & Performance - Own conversion rate optimization. Develop and execute a CRO program across key pages, including homepage, product pages, pricing, and landing pages. Design and run experiments, analyze results, and translate findings into durable improvements to the site's ability to drive signups, product adoption, and pipeline. - Define and track web performance metrics. Establish the reporting framework for how we measure web effectiveness across traffic, engagement, conversion, and downstream impact on product metrics. Own a regular reporting cadence that gives stakeholders a clear view of what's working and where to invest. - Partner with demand gen on landing pages. Work closely with marketing to design, build, and optimize campaign landing pages that convert. Bring a disciplined, test-and-learn mindset to paid and organic landing page performance. SEO - Build the bridge between SEO and content. Partner with the content team to ensure editorial and technical content decisions are informed by search data, and that published content is positioned to capture and convert high-intent traffic. Establish shared processes for keyword research, on-page optimization, and performance tracking. - Partner with Content on SEO strategy for LangChain's web properties. Help define the organic search strategy across marketing and product pages, working in close partnership with our SEO agency and content team. Prioritize based on search intent, competitive opportunity, and business impact. - Own technical SEO. In partnership with engineering, ensure the site's technical foundation supports strong organic performance across site speed, Core Web Vitals, crawlability, schema markup, and indexing health. Strategy & Stakeholder Alignment - Be the strategic voice on web. Bring a clear point of view to questions like: what should the information architecture look like as we scale? How do we balance developer credibility with commercial clarity? How does the website evolve as the product and company grow? - Align web to business goals. Understand what marketing, sales, product, and education need from the site, and translate those needs into a coherent web strategy. What We're Looking For - Strategic operator. You can hold the long-term vision and the day-to-day execution at the same time. You know when to move fast and when to slow down and get alignment. - Deep web fluency. You understand how great websites are built; the architecture, the technical foundations, the tooling, and the operational discipline that drives performance. - Analytically rigorous. You know how to define what good looks like, instrument it, and use data to make decisions. You're comfortable in analytics platforms and can design and interpret experiments. - Developer audience instincts. You understand what earns trust with technical audiences and know how to present LangChain credibly to developers. - Collaborative and clear. You'll work across a lot of functions. You're able to build alignment, communicate trade-offs, and keep things moving without needing authority over everyone involved. Salary Range: $200,000 - $230,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is looking for a Brand Design Recruiter to help build the team behind how our brand shows up in the world. You'll partner with Brand and Creative Studio leaders to define what great looks like for each search, find designers with exceptional visual craft, and guide them through a thoughtful process from first conversation to offer. You'll need to know creative talent, recognize strong work in a portfolio, and build relationships with people before they're actively looking. You'll bring market insight to hiring conversations, keep searches moving at pace, and give candidates a clear, personal experience throughout. WHAT YOU'LL DO - Own the hiring engine behind Ramp’s brand, bringing in the full-time designers and freelancers who shape how we show up in the world. - Find exceptional creative talent where they share their work, from portfolios and design communities to referrals and events. - Turn ambitious creative briefs into focused searches, partnering with Brand and Creative Studio leaders to agree what great looks like. - Give candidates a fast, personal experience from first conversation through offer and close. - Bring creative leaders, hiring managers, Talent and other partners together around priorities, feedback and decisions so searches keep moving. WHAT YOU NEED - 5+ years of recruiting experience, with a strong record of hiring brand or visual design talent. - A grasp of creative disciplines from identity and art direction to campaigns, web and motion, and the ability to judge a portfolio beyond the job title. - A record of finding and closing designers who were not actively applying, through portfolio research, communities, referrals and tailored outreach. - Experience building pipelines for both full-time designers and freelance creative talent, often on different timelines. - The ability to keep several searches and stakeholders moving with clear briefs, useful candidate evidence and accurate pipeline data. NICE TO HAVE - Experience recruiting for an in-house creative studio, brand team or design agency. - Experience building a trusted bench of freelance designers and creative specialists. - Experience bringing designers together through events, portfolio reviews or referral programmes. - Practical experience using AI tools to research and engage creative talent. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customersuccess 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. Role Overview The Identity & Access Management (IAM) Engineer designs, implements, and operates identity and access capabilities for human users, non-human identities, workloads, devices, services, and AI agents. The role focuses on the subject side of access control—identity, authentication, roles, groups, entitlements, and privileges—with an emphasis on least privilege, separation of duties, strong authentication, automated lifecycle management, and short-lived credentials. The engineer partners with others across the organization to ensure applications, infrastructure, and services appropriately mediate access, separate security domains, minimize unnecessary sharing, and limit common mechanisms that could increase privilege or blast radius. Key Responsibilities Design and operate authentication, authorization, federation, SSO, MFA, RBAC/ABAC, PAM, conditional access, policy-based authorization, just-in-time access, continuous verification, and privileged-access capabilities. Engineer roles, groups, entitlements, and privilege assignments around least privilege and separation of duties. Automate identity provisioning, access reviews, privilege changes, revocation, and deprovisioning. Implement phishing-resistant MFA, cryptographically bound authentication, and strong identity assurance across enrollment, authentication, federation, and recovery. Govern service accounts, machine and device identities, workloads, automated processes, APIs, and AI-agent identities. Implement short-lived workload and agent identities using federation, certificates, and modern workload-identity approaches while reducing reliance on persistent secrets. Partner with architects, engineers, and resource owners to ensure access is efficiently mediated and designs minimize excessive privilege, unnecessary sharing, and cross-domain exposure. Monitor identity posture and partner with Security Operations to investigate identity threats and rapidly revoke compromised access. Qualifications Hands-on experience engineering enterprise IAM systems and integrations. Strong knowledge of authentication, authorization, federation, identity lifecycle management, role/group design, separation of duties, and least privilege. Knowledge of phishing-resistant MFA, cryptographic authentication, identity proofing, federation, and modern identity assurance practices. Experience managing human and non-human identities, including service, machine, workload, or device identities. Experience automating identity processes using APIs, scripting, or Infrastructure-as-Code. Understanding of PKI, secrets management, short-lived credentials, workload identity federation, and technologies such as OIDC, OAuth, and SPIFFE/SPIRE. Ability to reason about identity and authorization across distributed systems and collaborate with architects and engineers on secure access design. Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay 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 candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $155,000 - $195,000 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: San Francisco, CA Workplace: onsite Role Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how robots learn and perform. Project Details Location: San Francisco, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. 7:00 AM to 3:00 PM  Duration: 6 weeks with possibility of extension Start: ASAP Compensation: US$36/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate robotic systems through VR or headset controls, robotic interfaces, and other teleoperation equipment Execute assigned data collection tasks to established procedures, maintaining consistency, accuracy, and data quality Troubleshoot basic hardware and connectivity issues Document issues and escalate technical failures to the appropriate teams Adapt to changes in workflows, equipment configurations, and procedures Comply with your safety, security, and operational requirements Basic Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Comfortable using controllers, keyboards, or specialized interfaces for extended periods Basic computer skills, including PC and Linux troubleshooting. Working knowledge of MS Office and Google Drive Ability to follow detailed procedures with high accuracy Clear written and verbal communication skills Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.