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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers. Responsibilities: Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating A track record of winning competitive technical evaluations against other LLM providers Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Canada Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join Twilio as a Program Manager, Carrier Operations & Governance — a tech-forward business analyst and program manager within a brand-new function built from the ground up to reshape how Twilio manages, governs, and optimizes its global telecom carrier and wholesale supplier ecosystem. About the job This isn't a role that inherits an existing playbook — it's a role that writes one. Twilio is building a highly visible, cross-functional operations & governance team dedicated to optimizing its telecom carrier and wholesale supplier ecosystem. Reporting into leadership that maintains regular cadences with Twilio's CEO, CFO, CRO, and Audit Committee, you will serve as the primary owner of critical end-to-end improvements spanning multiple areas of the business, and build internal operating models that unlock new levels of operational maturity and rigor. In this role, you will bring together, understand, and implement the policies, processes, systems, tools, and controls necessary to build a world-class operating environment. You will own the creation and stand-up of the team operating model, cadences, and runbooks while taking direct ownership of the team's internal Run-the-Business (RTB) engine. If you thrive in high-visibility environments, love designing systems from first principles, and want to own program execution end-to-end, this opportunity is built for you. Responsibilities In this role, you will lead program execution across four core pillars: Cross-Functional Governance & Leadership Drive Visible Governance Programs: Serve as the core Program Manager for a highly visible, cross-functional governance initiative spanning multiple areas of the business - including building and operationalizing programs from diagnosis, design, implementation, and change management Maintain Executive Visibility: Package and present operational narratives, risks, and performance metrics to cross-functional leadership, feeding into C-suite and Audit Committee reviews. Implement Core Infrastructure: Lead end-to-end process improvements across carrier operations — understanding, synthesizing, and deploying cohesive policies, workflows, systems/tools, and data-driven controls. Operating Model, Enablement & Team Infrastructure Build Team Foundations: Design and stand up the new Carrier Operations & Governance operating model, operational cadences, and internal team structures. Author Runbooks & Standards: Author, maintain, and roll out standard operational runbooks, supply policies, and Rules of Engagement (ROEs) for internal stakeholders and carrier partners. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Insights & Reporting Business Intelligence: Leverage quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound insights. Data & Reporting Quality: Execute analytical requests from IRSG, Legal, Finance, and GTM stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries. Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Run-the-Business (RTB) Ownership Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of experience in management consulting or as a Program Manager or Chief of Staff in telecom, RevOps, or strategy and operations. Proven track record leading highly visible, cross-functional programs across business, technical, legal, and financial stakeholders. Demonstrated expertise driving end-to-end process improvements by integrating policies, business processes, IT/systems tools, and operational controls. Direct experience standing up operating models, team cadences, and operational documentation (runbooks, frameworks, ROEs). Proven track record in designing enablement content and driving organizational change. Experience driving Run-the-Business (RTB) cadences, OKR tracking, and operational reporting. Strong capability in process mapping, business case writing, and translating complex operational needs into IT system specs. Sharp written and verbal communication skills with experience presenting to executive leadership. Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance. Team player who thrives in a fast-paced environment. Desired: Background in management consulting, high-growth tech, or global telecom environments. Six Sigma or formal Program / Process Management / Prosci Change Management certification. Operational experience within commercial Deal Desks, supplier QBR management, or revenue assurance. Domain knowledge of A2P SMS, international voice/messaging, carrier billing, or AIT/IRSF fraud frameworks. Familiarity with workflow and dashboarding tools (Airtable, Jira, Confluence) and operational automation (Python, Coefficient, AI tooling). Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $ 90,800.00 - $ 113,500.00 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 1, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Team Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth. That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers. About the Role We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world. This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly. What You'll Do - Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures. - Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation. - Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable. - Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions. - Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint. - Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements. What You'll Bring - Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work. - Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations). - Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior. - Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture. - Strong Python skills and a habit of writing code that others can rerun and build on. - A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience. Nice to Have - Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent). - Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks. - Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar). - Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing. - Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems. - Prior industry or research internship experience shipping or contributing to a production CV system. Compensation & Benefits The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Why Deliveroo? We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. What you'll do? As a Software Engineer at Deliveroo, your individual work contributes to achieving goals in across your team. While you will work with your team and you may lead projects, some of your work will contribute outside of your direct remit. You will report to managers and group leads and together deliver the results. Technical Execution: You will improve code structure, have an impact on architecture, and review code of any scope produced by your team. You'll aim to simplify the maintenance and operation of production systems, visibility, operational readiness, and health of your team's systems. Collaboration & Leadership: As well as leading from the front regarding technical execution, you'll build relationships with other engineering teams and, identify collaboration opportunities. You'll own larger pieces of work, assist with design and technical / implementation choices and influence the roadmap within your team. You will take an active role in the hiring process and conducting engineering interviews. This will also extend to the current team where you will support the personal growth of colleagues, encouraging efficiency in their roles. Expectations: We want to emphasise that we don't expect you to meet all of the below but would love you to have experience in some of these areas. Take pride in readable, well-designed and well-tested software 3+ years of experience in building Android applications at scale Kotlin and/or Java experience Accomplished in scaling Android architecture 3+ years of experience with Android development tools like Android Studio Working in a cross-functional team Knowledge of the Android SDK and AndroidX Interested in writing Kotlin Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of benefits in areas including health, family, finance, community, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing startups in an incredibly exciting space. #LI-NE1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote-Friendly (Travel Required) | Canada About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale.  You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you.  If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The People Team at Notion exists to help build a generational company - one that enables people to do their best and most meaningful work. Hiring exceptional talent, at the right time and with care, is central to that mission. We’re looking for a Recruiting Coordinator to partner closely with Recruiters and Hiring Managers to create a thoughtful, well-run, and genuinely human candidate experience. This role sits at the center of our hiring process and plays an important role in how candidates experience Notion.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: CREATE A CANDIDATE EXPERIENCE THAT REFLECTS NOTION You’ll be one of the first and most consistent touchpoints candidates have with Notion. From scheduling interviews to answering questions and resolving issues, you’ll help ensure every interaction feels organized, respectful, and intentional. You’ll collaborate closely with Recruiters and Hiring Managers to continually refine our processes—so candidates leave feeling excited about what we’re building, regardless of the outcome. COORDINATE INTERVIEWS WITH CARE AND PRECISION You’ll manage and schedule a high volume of interviews across primarily non-technical roles, balancing speed with attention to detail. You’ll anticipate needs, communicate clearly, and keep candidates and interviewers aligned - making the process feel smooth and predictable, even as things move quickly. BUILD STRONG RECRUITING FOUNDATIONS This role is designed for someone early in their recruiting career who wants to build durable fundamentals. Over time, you’ll gain exposure to how we plan, execute, and scale hiring at Notion. With support from the team, you could take on light sourcing work, process improvements, and additional ownership as your skills grow - creating a strong foundation for future growth in recruiting, operations, or people-focused roles. SKILLS YOU'LL NEED TO BRING: - 6–12 months of experience in recruiting coordination or interview scheduling, ideally in a high-volume environment - Strong organizational and prioritization skills - you’re proactive, reliable, and thoughtful about details - A steady, calm approach in fast-moving environments - Ability to navigate ambiguity with optimism - Clear, kind, and professional communication skills - you’ll represent Notion to a large and diverse group of candidates - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience supporting both technical and non-technical roles, including remote and in-person interview scheduling - Experience with Ashby, Workday, Slack - Experience in a high-growth or startup environment Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $85,000 - $95,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication: talks, tutorials and docs that scientists find useful. A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. 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: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Provider Sales VP, you’ll be embedded in Provider Partnerships and report directly to the SVP of Provider. You will own Garner's provider segment at its most senior level, as a quota-carrying seller responsible for the marquee health-system and enterprise relationships that define this category for us. You will help set the segment's go-to-market approach, from sub-segments to pursue, to lead generation, to closing strategy. This is a seat for someone who has built a selling book from limited infrastructure before and wants to do it again with a genuinely differentiated product and dataset behind them. What you will do Own the provider segment end to end, from go-to-market strategy through close, carrying an individual quota against your assigned budget. Land and expand marquee health-system and enterprise logos, opening executive-level doors up to health-system CEO. Run a data-driven sales motion at the most senior level: connect Garner's data to a buyer's top strategic priorities. Lead complex, committee-driven negotiations to close, holding momentum and goodwill across long cycles and multiple veto-holding approvers. Establish the repeatable playbook the segment adopts: messaging, target-account strategy, and objection handling grounded in healthcare economics and provider risk. Partner with Product, Sales leadership, and Account Management, and build the feedback loop that turns market signal into roadmap and pricing change. Build full fluency across Garner's product suite and match the right product angle to each buyer. What we're looking for 8 or more years in fast paced selling environment carrying and consistently exceeding individual quote Experience owning a new-market motion end to end: building a segment from limited infrastructure and landing marquee logos Experience selling into into hospitals, health systems, or other healthcare provider organizations is preferred; if not, experience selling in other complex B2B SaaS environments A track record of closing through multi-stakeholder, committee-driven buying processes, where clinical, analytics, finance, legal, and administrative approvers each hold an effective veto. Command of the room with senior buyers up to the CEO: you build trust fast, go head to head on strategy, and secure buy-in for a high-consideration purchase. Data fluency built by repeatedly entering new or ambiguous markets and learning the methodology deeply. Repeatable plays for reviving stalled pipeline, applied across a book rather than one deal at a time. Comfort selling while product, pricing, and positioning are still evolving. The instinct to build an internal operating rhythm: who to pull in when, plus a feedback loop into product and pricing. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The total compensation range (inclusive of base and commission) for this position is $325,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Software Engineer to build and evolve Webflow Cloud, helping builders and marketing practitioners build, deploy, and run full-stack web applications with the assistance of cloud based AI agents. ABOUT THE ROLE: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Senior Engineering Manager, Cloud   As a Senior Software Engineer, Cloud, you'll … - Build and operate reliable cloud services on AWS and Cloudflare, drawing on experience with compute, storage, networking, and managed infrastructure. - Evolve the infrastructure that powers web applications and AI agents on Webflow Cloud. - Participate in the team’s on-call rotation, investigate production incidents, and drive improvements that prevent recurring issues. - Utilize CDN and edge compute capabilities that help customers deliver fast, resilient websites and applications around the world. - Own features from customer problem through design, implementation, rollout, and ongoing improvement. - Use AI-assisted development practices to accelerate delivery while applying sound engineering judgment, rigorous validation, and clear accountability for code quality. - Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams. ABOUT YOU: - BA/BS Degree or equivalent experience - 5+ years building and operating backend services in production - Demonstrated experience in backend service design  defining service boundaries, contracts and data ownership, not only implementing within them - Business-level fluency to read, write and speak in English   You'll thrive as a Senior Software Engineer, Cloud, if you … - Have experience building and operating production services on AWS, Cloudflare, or similar cloud platforms. - Have experience designing data models, optimizing queries, and operating production databases such as PostgreSQL or MongoDB. - Are fluent in TypeScript and Node.js, and comfortable with edge runtimes. - Understand modern website and web application architecture, including HTTP, caching, CDNs, and edge compute. - Apply best practices for performance, security, accessibility, and reliability. - Take ownership of features from early discovery and technical design through delivery and ongoing operation. - Use AI effectively in your personal or professional development practices. - Make pragmatic technical decisions that balance customer needs, delivery speed, and long-term maintainability.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Director of Global Trade Marketing to lead our global trade marketing organization and accelerate the growth and impact of WHOOP across our rapidly expanding retail footprint. This leader will oversee trade marketing teams across global markets, establishing the strategy, operating rhythms, and cross-functional alignment required to deliver exceptional retail experiences and drive consumer demand around the world. At the center of this role is the ability to build strong relationships and drive alignment across the organization. You will serve as a critical connector between our Trade Marketing teams and the broader WHOOP organization, partnering closely with Sales, Brand, Creative, Media, Product Marketing, Visual Merchandising, Operations, Analytics, and regional leadership to ensure our teams are positioned for success in market. You will develop a high-performing global team, bring clarity to priorities in a fast-moving environment, and translate the broader WHOOP brand and commercial strategy into locally relevant retail experiences that drive awareness, conversion, and sell-through. RESPONSIBILITIES: - Lead, develop, and inspire the global Trade Marketing organization, creating clear priorities, strong operating rhythms, and a culture of collaboration, accountability, and high performance. - Build strong cross-functional partnerships across WHOOP, aligning Brand, Creative, Media, Sales, Operations, Visual Merchandising, Product Marketing, Analytics, and regional stakeholders around retail priorities, launches, campaigns, and key commercial moments. Proactively identify dependencies, remove barriers, and ensure teams have the resources and organizational support needed to execute successfully. - Develop and own the global trade marketing strategy, translating company and brand priorities into scalable plans across retail media, digital and physical retail experiences, product launches, promotions, training, and key commercial moments. - Partner with Trade Marketing and Sales leaders across global markets to build strategic plans for priority retailers, ensuring marketing investment, creative, inventory, training, fixtures, and operational readiness come together to drive measurable awareness, traffic, conversion, and sell-through. - Establish a consistent global approach to planning, budgeting, measurement, and performance optimization, using retailer and consumer insights to prioritize investments, identify incremental growth opportunities, and continuously improve return on trade marketing spend. - Build scalable tools, processes, and ways of working that allow teams to move quickly while maintaining a consistent WHOOP experience globally, balancing global standards with the localization required to win with consumers and retail partners in individual markets. QUALIFICATIONS: - 10+ years of experience in global trade marketing, shopper marketing, retail marketing, omnichannel marketing, or a related discipline, including meaningful experience leading teams in a global or multi-market environment. - Proven people leader with experience building, developing, and empowering high-performing teams across global markets. - Exceptional relationship-building and influencing skills, with a demonstrated ability to bring together diverse cross-functional stakeholders, create alignment without relying solely on authority, and move complex initiatives forward. - Strong understanding of the global retail and omnichannel landscape, with experience developing marketing strategies that connect digital retail, physical retail, retail media, product launches, promotions, and brand activity. - Strategic and commercially minded, with the ability to translate company objectives into clear priorities for teams while remaining close enough to execution to identify barriers and unblock the organization. - Strong analytical and financial acumen, with experience managing significant marketing budgets, evaluating performance, and using consumer, retailer, and sales insights to make investment and prioritization decisions. - Comfortable operating in a fast-growing, highly cross-functional environment where priorities evolve quickly and success requires both building scalable processes and solving immediate business challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $155,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote; Europe; United States; New York ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a Direct Tax Lead to own our US income tax provision, compliance, and controls, reporting to the Head of Tax. ElevenLabs operates through its US entity and ~9 international entities and is growing fast, which means the provision, the compliance calendar, and the controls around them need a dedicated owner. This is a hands-on ownership role. The provision and returns are prepared by external providers; you manage those engagements and are accountable for the output. You'll own the quarterly and annual ASC 740 provision (deferreds, valuation allowance, uncertain tax positions, rate rec, footnote disclosures), the US federal and state compliance calendar (returns, extensions, estimated payments), and the technical work underneath it: §174 capitalization, §382 and NOL tracking. You'll also assist in designing, documenting, and operating controls, and write the memos that support our positions, working directly with our Big 4 advisors and external auditors alongside the Head of Tax. REQUIREMENTS - Deep ASC 740 expertise at a multinational — provision, deferreds, valuation allowance, uncertain tax positions, rate reconciliation, and footnote disclosure - Experience owning a US federal and multistate compliance calendar (returns, extensions, estimates) - Working knowledge of US international provisions (NCTI/GILTI, Subpart F, FDDEI, §163(j)) and how they flow into the provision - Experience managing Big 4 or equivalent providers and working directly with external auditors - Has built or operated SOX controls over tax, or supported a first SOX implementation - CPA Bonus: pre-IPO or first-10-K experience, §174/§41 computation, §382 studies, equity compensation tax (ISOs, NSOs, RSUs), OneSource Tax Provision or similar. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Build and lead the direct tax team as we bring provision and compliance in-house - Expand into other strategic initiatives such as M&A, PE mitigation policy, corporate structuring. - Broaden into wider tax leadership as our footprint grows LOCATION This role is remote-first, so it can be executed from anywhere on the east coast, New York preferred. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for an IT Systems Engineer to build and secure the identity and access management (IAM) and mobile device management (MDM) systems for employees who build agents and internal tools every day. You will design access and device policies that let them ship quickly without exposing company data, and automate the work with scripts, API integrations, and AI tooling alongside our IT and Security engineers. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office. What you’ll do: Configure Okta, including application integrations, single sign-on (SSO), multi-factor authentication (MFA), groups, access policies, and automated provisioning Build onboarding, role-change, and offboarding automation that keeps employee access current Configure and maintain MDM for device enrollment, software deployment, patching, encryption, and compliance controls Build scripts, API integrations, and automation across Okta, MDM, Google Workspace, Slack, and IT service management systems, using AI to write and troubleshoot code and reviewing its output before it ships Partner with Security on least-privilege access that lets employees connect agents and internal tools to company systems safely, along with device security standards and access reviews, and serve as the escalation point for complex identity and device issues What you need: 7+ years of hands-on IT systems engineering experience, with deep expertise in either IAM or MDM and working knowledge of the other Administered Okta and integrated applications using Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM) Configured and operated an MDM platform such as Jamf, Kandji/Iru, or Intune Wrote automation in Python or Bash against APIs, and used AI to build and troubleshoot it, reviewing generated code before deploying Bonus if you: Managed Okta or other IT systems as code with Terraform, including version-controlled configurations, code review, and configuration drift management Supported AWS identity and access configurations Built or hosted a project on Vercel Benefits: Competitive salary and meaningful equity Comprehensive health, dental, and vision coverage Generous paid time off and parental leave Professional development stipend Daily lunch and commuter benefits (SF office) Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $288,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM   This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.     ABOUT THE ROLE   You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$315,000 USD 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 make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.   ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.   WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement   WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production   NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with GMT-3 for at least 20 hours/week. Preferred locations: USA Why this job is exciting As our Compliance Manager, you will own and drive Sourcegraph’s governance, risk, and compliance program, with a primary focus on compliance. This is a highly cross-functional role that works closely with Security, Engineering, IT, Legal, People, Sales, and other teams across the company. You will be responsible for maintaining and evolving our compliance program, including owning certifications such as SOC 2 and ISO 27001 and preparing Sourcegraph for additional frameworks as the business grows. This is not a role where you will simply coordinate work across a large compliance organization. We are looking for someone who has personally owned audit and certification programs end to end: designing and tailoring controls, collecting evidence, training internal teams, working directly with auditors, managing remediation, and driving follow-up work through completion. 📅 Within one month, you will… You will build strong working relationships across Security, Engineering, IT, Legal, People, Sales, and other key stakeholders. You will develop a clear understanding of Sourcegraph’s existing governance, risk, and compliance program, including our ISMS, risk register, controls, certifications, audit processes, and current areas of focus. You will understand how our SOC 2 and ISO 27001 programs operate today, including key owners, evidence requirements, open risks, and upcoming milestones. You will begin participating directly in day-to-day compliance activities and identify opportunities to improve or simplify existing processes. 📅 Within three months, you will… You will have taken ownership of Sourcegraph’s ongoing SOC 2 and ISO 27001 compliance programs. You will independently manage key audit activities, including control testing, evidence collection, stakeholder coordination, auditor requests, findings, and remediation. You will evaluate existing controls and tailor them to Sourcegraph’s environment rather than relying on overly prescriptive or generic auditor recommendations. You will actively maintain Sourcegraph’s risk register, ISMS processes, policies, and compliance documentation. You will help internal teams understand their compliance responsibilities and provide practical guidance that allows them to meet requirements without creating unnecessary process. You will support customer-facing compliance activities, including security questionnaires and compliance-related questions from prospective and existing customers. 📅 Within six months, you will… You will have successfully led Sourcegraph through an audit or major certification milestone. You will own the operating rhythm of the GRC program, including ISMS meetings, risk management activities, control reviews, documentation updates, and audit preparation. You will have established a forward-looking compliance roadmap covering renewals, upcoming audits, new frameworks, regulatory requirements, and opportunities to improve how the program operates. You will be able to independently identify control gaps or deficiencies, assess their risk, recommend practical solutions, and drive remediation with both technical and non-technical stakeholders. You will have introduced automation, AI, or other process improvements that reduce manual compliance work while maintaining or improving program quality. About you You have built or operated compliance programs in a fast-moving technology environment and have personally owned major compliance initiatives from beginning to end. You are comfortable operating independently, getting into the details, and doing the work yourself while coordinating with stakeholders across the organization. You understand that frameworks such as SOC 2 and ISO 27001 define requirements but often leave significant flexibility in how an organization satisfies them, and you know how to translate those requirements into controls that fit the business. You are also comfortable working with technical teams and modern cloud environments. You can understand enough about infrastructure, systems, access controls, software development, and security processes to ask the right questions and effectively translate between auditors and technical teams. 5+ years of experience in governance, risk, compliance, information security compliance, or a related role. Demonstrated end-to-end ownership of SOC 2 and ISO 27001 programs, ideally within a SaaS, technology startup, or similarly fast-moving environment. Experience personally managing external audits and certification processes, including audit preparation, evidence collection, control testing, stakeholder training, auditor interaction, remediation, and follow-up. Strong understanding of risk management, control design, ISMS governance, and compliance program operations. Experience adapting compliance controls to an organization's actual environment rather than applying generic or overly prescriptive requirements. Familiarity with cloud-based technology environments and the security and compliance considerations associated with a distributed or remote workforce. Strong project management and organizational skills with the ability to drive cross-functional initiatives from inception through completion. Excellent written and verbal communication skills and the ability to explain compliance requirements clearly to both technical and non-technical audiences. A hands-on mindset and willingness to personally execute the work required to keep the compliance program operating effectively. Curiosity about AI, automation, and emerging technology, with an interest in using new tools to improve compliance workflows. Nice-to-haves: Experience with additional security, privacy, or compliance frameworks such as GDPR, HIPAA, HITRUST, FedRAMP, FISMA, PCI DSS, or related standards. Experience supporting security questionnaires, customer assurance processes, or sales-related compliance activities. Experience with GRC platforms, compliance automation tools, or building internal automation for evidence collection and control monitoring. Relevant certifications such as CISA, CISSP, ISO 27001 Lead Implementer or Lead Auditor, CRISC, or similar credentials. Level 📊 This job is an IC3. You can read more about our job leveling philosophy in our Handbook. Compensation We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. The starting salary for the IC3 pay band in each zone is: Zone 2: $137,718 USD Zone 3: $102,899 USD In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [Async] Working assignment [60m] Assignment Walkthrough + Review [60m] Resume Deep Dive [60m] Technical Interview 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Values [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A PEEK AT OUR TECHNICAL STACK Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. WHAT YOU'LL DO - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models WHAT YOU'LL NEED - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another NICE TO HAVE - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies 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