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Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies 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 Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION $150,000-$190,000 base salary + equity 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: Remote About the Team Netlify's Finance team builds the financial foundation that helps the company plan, operate, and make informed decisions. The team owns our operating model, management reporting, budgeting and planning, and the company-level metrics leadership uses to understand performance and make tradeoffs. As Senior Finance Manager, you'll own the corporate finance cycle and decide what it should become. That covers monthly reporting, the driver-based forecast, annual planning, scenario work, and the KPI layer, and it extends past running them well into bringing your experience to improve and innovate on our processes. This is a hands-on role with real latitude: you will work directly with senior leadership on capital, pricing, and headcount decisions, and will leverage AI to build better tooling and make Finance faster and less dependent on manual work. What You'll Do Own the corporate finance cycle end to end, including the monthly reporting package, the driver-based forecast, annual planning, and scenario analysis, and redesign the parts that no longer hold up as we scale Frame which scenarios are worth running ahead of capital, pricing, and headcount decisions, and bring a recommendation rather than a set of outputs Lead the annual planning process across departments, from calendar and templates through consolidation and board-ready output Lead cross-functional alignment on metric definitions, reporting dimensions and financial data hygiene Own the company-level KPI and metrics layer, decide what leadership measures as the business evolves, and carry a view on the trends driving each metric Drive market and competitor research to support pricing and packaging, capital allocation, and improve financial forecasting Communicate complex financial mechanics to people outside finance, and drive cross-functional decisions and leadership buy-in Set how budget management runs across departments, including the cadence and what a department leader is accountable for, rather than tracking it on their behalf Be a thought leader steering the finance function's AI operating standard and build the systems and agents to support it Partner with Sales leadership on capacity model and KPI tracking What You'll Bring 7+ years in FP&A or strategic finance, including several years at a SaaS or usage-based business. An investment banking, consulting or private equity background preferred; but strong modeling skills, ability to develop frameworks to solve complex problems and ability to run scenarios is a must Multiple annual planning cycles owned end to end A history of building 3-statement models from scratch, with scenario and sensitivity analysis, and of making structural changes to a model rather than only updating inputs Strong working knowledge of US GAAP and core accounting principles Advanced Google Sheets or Excel, and comfort with large datasets and formula-heavy models Comfort framing abstract business problems and creating frameworks to address them Deep system-level understanding of how financial data moves across source systems, the warehouse, and the planning and reporting layer Deep command of SaaS metrics and their drivers, with a point of view on which ones actually matter at our stage Working knowledge of SQL Hands-on experience building AI workflows other teams adopt, and a clear view on where the human checks belongs Experience presenting analysis and recommendations to executive staff, and a track record of driving org level impact Deep curiosity about our business, product, customers, competitors and industry trends This Role Is a Great Fit If You want to own a function, not contribute to one. The corporate finance cycle would be yours to run and to redesign. You're comfortable being the only person on this work. There is no junior analyst supporting the role and no plan to add one. You will build it and run it yourself. You’re deeply curious about industry. You keep up to date with industry trends, research the competitive landscape, and you turn that into a recommendation rather than an observation. You notice when something is slower or more manual than it needs to be, and you fix it without being asked. You're excited to build. The tooling, the reporting layer, and the automation work are all genuinely open, and there is room to make this function structurally better. Our applications will close on Friday, November 13th at 5pm CST Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to "build a better web" and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our hiring range for this role is targeted at $150,000 - $208,000 for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

The VITAS Healthcare Patient Care Coordinator is a member of the interdisciplinary team who effectively processes calls, answers general questions, provides information, and transfers calls to triage nurses when appropriate during alternate hours. Promptly answers and screens incoming calls, with appropriate escalation as needed.

Location: London, United Kingdom Workplace: none Role: Deputy Registrar Location: London, Multi-site Salary: Competitive Hours: Full Time Contract Type: 12 month FTC Help Shape the Future of Registry Services at LCCA Are you an experienced Higher Education Registry professional ready to take the next step into a senior leadership role? LCCA is looking for a Deputy Registrar to support the leadership and delivery of high-quality Registry services across programme administration, assessments, student records and data, academic governance, timetabling and wider student administration. This is a key leadership opportunity to strengthen services, systems and controls while supporting the Head of Registry Services in ensuring Registry operations deliver an excellent student experience and meet academic, regulatory and institutional requirements. About LCCA London College of Contemporary Arts is a dynamic Higher Education provider specialising in creative, business and contemporary education. We are committed to delivering an inclusive, career-focused student experience that combines academic learning with the skills and experience students need for their future careers. As LCCA continues to grow, strong, scalable and student-focused professional services are central to our success. About the Role As Deputy Registrar, you will support the leadership and day-to-day management of a broad, multi-functional Registry operation across LCCA’s London sites. You will help oversee the student lifecycle from programme administration and enrolment through to assessment, progression and academic outcomes, ensuring services are accurate, efficient, compliant and consistently delivered. Working closely with the Head of Registry Services, senior leadership, academic teams, Quality and external partners, you’ll also play a key role in improving systems, data, reporting and operational processes. You will deputise for the Head of Registry Services where required, providing senior-level advice and ensuring continuity of leadership across Registry operations. Key Responsibilities You will: Support the leadership and effective delivery of Registry and student administration services. Deputise for the Head of Registry Services as required and provide senior Registry advice across the institution. Oversee key student lifecycle processes including enrolment, registration, progression, assessment and completion. Ensure assessment processes and boards are secure, accurate, fair, timely and auditable. Support the effective management of student records, Registry systems and data quality, integrity and governance. Contribute to statutory and regulatory reporting, management information, dashboards and institutional reporting requirements. Support timetabling and academic administration to enable effective teaching and assessment delivery. Ensure Registry operations meet the requirements of the OfS, validating partners, OIA, CMA and UKVI, where applicable. Support academic governance, collaborative provision and validating-partner requirements. Lead and contribute to Registry systems development, implementation, integration and continuous improvement. Maintain effective operational controls, risk management and data protection practices. Lead, manage and develop Registry colleagues, creating a culture of accountability, collaboration and continuous improvement. Provide guidance on academic regulations, policies and complex student administration matters. Build strong relationships across academic and professional services and with external stakeholders and partners. About You We’re looking for an experienced Higher Education professional with significant experience across Registry or student administration services. You’ll combine strong operational knowledge with excellent leadership and problem-solving skills, with the confidence to manage complex Registry activity and support teams through growth, change and service improvement. You will be comfortable interpreting academic regulations, working with student data and systems, collaborating across academic and professional services, and ensuring Registry services remain accurate, compliant and student-focused. Essential Requirements Degree or equivalent relevant professional experience. Significant experience within Registry, student administration or a comparable HE professional service. Strong knowledge of UK Higher Education student administration, including enrolment, assessment, progression and completion. Strong understanding of academic regulations, assessment processes and academic governance. Good understanding of OfS requirements, student data, consumer protection and regulatory reporting. Experience managing or supervising teams within Registry or student administration. Strong understanding of student record systems, data governance and management information. Experience contributing to systems implementation, process redesign and service improvement. Experience working effectively with academic departments, Quality and other professional services teams. Ability to interpret regulations, policies and procedures and provide clear and practical advice. Strong organisational skills with the ability to manage complex and competing priorities. Excellent communication, influencing and stakeholder-management skills. A strong commitment to delivering an excellent student experience. Desirable Postgraduate or professional qualification in Higher Education administration, management, governance or a related area. Membership of a relevant professional body such as the Association of University Administrators (AUA). Experience of validating-partner and collaborative-provision arrangements. Experience supporting Registry services through significant institutional growth or change. Experience of student record system development or implementation. Why Join LCCA? ✅ Take on a key leadership role within a growing Higher Education institution. ✅ Help shape the future direction of Registry and student administration services. ✅ Support services that have a direct impact on the student experience, progression and academic outcomes. ✅ Drive improvements across systems, data, reporting and processes. ✅ Work closely with senior leadership, academic teams, Quality and external partners. ✅ Develop your leadership experience within a broad and evolving Registry function. What We Offer Competitive salary. Annual leave entitlement. Pension scheme. Season Ticket Loan, subject to eligibility. Employee wellbeing support. Professional development and training opportunities. Employee discounts and rewards. Career development opportunities. Staff networking and social activities. Our Approach LCCA is committed to creating a diverse and inclusive working environment where colleagues and students feel respected, supported and able to succeed. The successful candidate will be expected to promote equality, diversity, inclusion and safeguarding, maintain high standards of professional integrity and ensure Registry services remain student-focused, fair and consistent. As a multi-site institution, the role will require travel between LCCA locations and occasional UK or international travel where required. Apply Now If you’re an experienced Higher Education Registry professional looking to take the next step into senior Registry leadership, strengthen student services and help shape Registry operations within a growing institution, we’d love to hear from you. Apply now and help shape the future of Registry Services at LCCA.

Key responsibilities Act as executive sponsor for Uncountable's most strategic accounts, owning the relationship at the highest level. Own GRR, NRR, and account health across your book of business.

Responsibilities: Designing, coding, and testing software applications. Collaborating with engineers and stakeholders to understand project requirements.

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.

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: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on. You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters. This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver. What you'll do: - Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting. - Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers. - Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights. - Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion. - Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline. - Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact. - Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready. - Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action Requirements: - 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines. - Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short. - Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster). - Experience integrating data from business systems such as Salesforce, HubSpot or Stripe. - Structured thinking: you break ambiguous problems into clear steps and solve them methodically. - A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line. - Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders. Nice to Haves: - Experience partnering with Finance on data that demands high precision (revenue, billing, commissions). - Early or growth-stage startup experience. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

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: Hybrid; San Francisco, CA We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE This role is based in our San Francisco office and is also open to remote candidates in the US. We're hiring an Enterprise Demand Generation Marketing Manager to build and run the programs that fill our pipeline. You'll own campaigns across paid media, webinars, account-based marketing, and social, from strategy through launch and optimization. This is a builder role. You'll stand up programs that don't exist yet, ship them quickly, and scale what works. You'll partner closely with Sales, Product Marketing, Content, Design and RevOps to turn target accounts into qualified pipeline. WHAT YOU'LL DO - Plan, launch and optimize paid campaigns across LinkedIn, Google, Meta and content syndication channels, owning budget pacing, testing and reporting on CAC, pipeline and ROI - Run the webinar program end to end: pick topics and speakers, drive promotion and production, and manage follow-up through to pipeline conversion - Partner with Sales to define target account lists and build tiered account-based marketing plays (1:1, 1:few, 1:many), orchestrating multi-channel touches that drive engagement and meetings - Use paid and organic social to reach buyers, amplify campaigns and generate demand, working closely with Content and Creative - Define KPIs for each program and collaborate with RevOps on dashboards that show what's contributing to pipeline and revenue - Stand up new channels and programs, test quickly, cut what isn't working and scale what is - Align daily with Sales, SDRs, Product Marketing, Content, Design and RevOps on targets, messaging and handoffs WHAT YOU'LL NEED - 3+ years of hands-on experience running paid campaigns on LinkedIn, Google or Meta, with a track record of hitting pipeline targets - Experience building and scaling a webinar program that converts attendees into pipeline - Experience running account-based marketing in close partnership with Sales, including account selection, orchestration and measurement - A track record of using paid and organic social as a demand channel - Strong analytical skills, comfortable with attribution, funnel metrics and turning data into decisions - Working knowledge of marketing automation and CRM tools (for example, HubSpot or Marketo, and Salesforce) - Clear, concise communication skills and the ability to align multiple teams around a plan - Experience marketing to large, complex organizations with long sales cycles and multiple stakeholders - Strong project management instincts; you can run several overlapping campaigns at once and keep timelines, owners and dependencies organized - A builder's mindset: you'd rather create programs, processes and playbooks from scratch than inherit a finished machine - A collaborative approach; you work across teams every day, share credit, take feedback well, and treat Sales as a partner - Comfort using AI tools as part of your daily workflow, for drafting copy, building audience lists and analyzing campaign results NICE TO HAVE: - Experience marketing to creative, media or enterprise audiences - Experience on an early-stage or scaling marketing team - Familiarity with AI tools that speed up campaign production and analysis If this sounds like you, we'd love to hear from you, even if you don't check every box. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, 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: Remote As Event Marketing Manager, EMEA, you will help shape how developers, platform teams, and open-source communities experience Coder in person and online. You will plan and execute events that build awareness, create pipeline, and turn technical interest into meaningful engagement. You will work closely with Marketing, Sales, Developer Relations, Product Marketing, and partners to bring event programs to life. You will manage the details, connect the teams, and make each experience feel useful, credible, and well run. What you’ll do here - Plan and execute Coder’s EMEA event programs, including trade shows, conferences, summits, and partner activations. - Manage event timelines, budgets, vendors, contracts, staffing plans, registration, logistics, shipping, and on-site execution. - Partner with DevRel and Product Marketing to create event experiences that resonate with developers, platform engineers, DevOps teams, and technical buyers. - Work with Sales to align event strategy to account priorities, meeting goals, pipeline creation, and follow-up motions. - Create pre-event and post-event communications, including attendee outreach, internal briefings, speaker prep, staff guides, and follow-up plans. - Coordinate Coder’s presence at open-source, developer, ai infrastructure, cloud, and platform engineering events. - Help identify the right events for Coder to attend, sponsor, host, or skip based on audience fit, business goals, and community relevance. - Manage relationships with agencies, production teams, venues, event organizers, swag vendors, and other external partners. - Own the lead handoff post-event, working closely with marketing operations to get every lead in front of Sales within 24-48 hours, ensuring timely follow-up and partnering with demand gen on lead nurture tactics. - Track event performance across attendance, engagement, meetings, leads, pipeline influence, sourced pipeline, and qualitative feedback. - Travel as needed, approximately 25% of the year, to support hands-on event execution and ensure every program runs smoothly. What we’re looking for - Must be located in the UK - 4–7 years of experience in event marketing roles. - Strong experience planning and executing events from start to finish, including logistics, communications, managing vendors, timelines, budgets, and on-site details. - Excellent program management skills. You can manage multiple moving parts, keep stakeholders aligned, and bring order to complex work. - Resourceful with high attention to detail. You catch issues early, document clearly, and make sure the small things do not become big problems. When a shipment goes missing or plans change the night before, you adapt and the event goes on. - Strong instincts for working with Sales, with the ability to build trust and align event programs to Sales priorities. - Create event playbooks, briefing docs, run-of-show plans, staffing guides, and post-event reports. Bonus tacos if you have - Experience marketing to developers, DevOps teams, platform engineers, infrastructure teams, or other technical audiences. - Experience working in or around open-source communities, developer ecosystems, or technical community programs. - Experience supporting open-source projects, foundations, community events, or contributor programs. - Familiarity with developer conferences and communities such as KubeCon, GitHub Universe, Open Source Summit, DevOpsDays, HashiConf, or similar events. - Experience with account-based marketing and sales-aligned event motions. - Experience with event technology and marketing systems such as, Cvent, Luma, HubSpot, Salesforce, or 6sense. Our tech stack You do not need to know every tool on day one, but familiarity with common go-to-market and event systems will help you ramp quickly. This role may work across tools such as Asana, Salesforce, HubSpot or Marketo, event platforms, ABM tools, shared content systems, and internal planning docs. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Frontend Engineer interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript and React. As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our web applications. Design and implement scalable web apps and features, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of frontend applications, while also taking ownership of the overall reliability of the team’s web experiences. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale web applications as a software engineer Proficient in frontend development with React, Vue, Angular or similar, along with strong TypeScript and JavaScript fundamentals. Experience with web performance, accessibility, and cross browser compatibility. Hands-on experience building web clients at scale that consume APIs and services. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience consuming APIs, event streams, webhooks, etc. Experience working within and towards a distributed system. Extra points if you’ve built web experiences for livestreaming, media, checkout, advertising, or subscriptions Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

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.