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Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. - Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. - Expand platform release systems to allow developers to increasingly self-service. - Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. - Resolve production issues by proactively identifying and fixing problems in customer deployments. - Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. - co-owning the integration of OrioleDB into the supabase product YOU MIGHT BE A GOOD FIT IF YOU - Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. - Are an Infrastructure Expert with proven experience in management, tooling, and optimization. - Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. - Have experience building for multiple architectures, specifically Linux and Darwin/macOS aarch64 targets. - Are comfortable with polyglot environments, including builds for C/C++, Go, JavaScript, and Rust-based projects. - Communicate clearly across both technical and non-technical audiences, especially when interacting with customers. - Have experience in async or globally distributed teams and value independent, proactive problem-solving. - Are willing to mentor, taking on responsibility for teaching the engineering team to use and contribute to our Nix-based work. - Have experience with integration of emerging features into widely used managed hosted product platforms WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 200+ team members - 40+ countries - 15+ languages spoken - $496M raised - 430,000+ community members - 30,000+ memes posted (and counting) We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: London Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention. What You'll Do - Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on. - Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning. - Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems. - Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction. - Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data. - Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production. - Publish Your Work - Publish and present your work. What You'll Bring - A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. - Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning. - Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations. - You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture. - You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs. - Proficiency in Python and Deep Learning libraries such as PyTorch. - GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering. - A track record of contributing to widely used open-source research codebases. Nice to Have - Proficiency in C++. Compensation & Benefits Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

ArtWorkout is a mobile app that teaches users how to draw in a fun, gamified way. With over 1 million monthly active users, 4000+ lessons, and a hybrid monetization model (subscription + ads), the app is scaling quickly. It is used worldwide by people who want to learn to draw with step-by-step lessons and real-time feedback, have fun and relax, improve hand coordination after strokes or injuries, and give kids meaningful screen time. Key Responsibilities: — Be the primary source of innovative ideas for product growth, focusing on paywall conversion, user onboarding, and retention strategies. — Take full ownership of the first-session customer journey mapping (CJM), analyze every step, remove friction, and enhance user delight. — Develop and maintain a clear product roadmap, prioritizing features and experiments based on user feedback, data analysis, and business goals. — Use analytics tools to monitor key product metrics, conduct A/B tests, and make informed decisions for continuous improvement. — Work with engineering, marketing, and support teams to implement ideas and keep the product message unified. — Analyze market trends, competitor strategies, and emerging technologies in mobile apps and EdTech. Requirements: — 3+ years of experience as a Product Manager for a B2C mobile application with a strong portfolio of successful projects. — Demonstrated success optimizing paywalls and implementing monetization strategies such as freemium, subscriptions, and in-app purchases. — Deep understanding of user psychology and passion for intuitive, engaging user experiences. — Ability to derive actionable insights and compelling hypotheses from data. — Creative and strategic thinking with confidence to challenge the status quo and propose bold ideas. — Proactive, autonomous ownership and ability to drive projects forward with minimal supervision. Conditions: — Competitive salary aligned with the market and experience. — Impactful work on a product used by a global audience. — Collaborative and supportive team of talented professionals. — Opportunities for professional development and learning. — Standard benefits package including paid vacation and sick leave.

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 Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments 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: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mapbox US Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.   WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - Technical Skills & Tools (Must-Haves): - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Core Competencies & Scope: - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.     WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Comprehensive Healthcare: Private medical coverage for you and your dependents. - Family-First Support: Generous maternity and paternity leave policies to support your growing family. - Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. - Invest & Grow: Retirement plans with competitive matching. Our annual base compensation for this role ranges from $175,100 - $236,900 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here. Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation https://drive.google.com/file/d/1rVYht6vc6QJmVzwML1rlh3BFboC-JkGe/view?usp=drive_link and Right to Work https://drive.google.com/file/d/1Pnzz1t8ueq8iPftJ7kqPOGoTnD5mqi0H/view?usp=drive_link posters for more information. Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We're hiring a Mid-Market Account Executive in New York to own our larger deals across North America. You'll sell to marketing, SEO, and growth leaders who are watching their organic traffic get absorbed by AI answers and need to show their own leadership what to do about it. Your job is to build that case with them. You'll build your own pipeline into named accounts, work with the SDR team on coverage, and run the full cycle from there. We are defining the category, so part of the job is teaching the market what good looks like, not waiting for a buyer who already knows they need this. WHAT YOU'LL DO - Own and run the full sales cycle from first meeting to close across mid-market accounts in North America - Generate your own pipeline into named accounts, and partner with SDRs and Marketing on targeted outbound and ABM across the patch - Multi-thread across marketing, SEO, growth, and procurement stakeholders, and build the business case that gets a deal signed - Keep your CRM clean and your forecast honest, with a strong handle on deal progression - Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow - Feed what you learn on calls back into product, marketing, and the sales playbook. At this stage, your input shapes how we sell. WHAT WE'RE LOOKING FOR - 4+ years in a quota-carrying software sales role, closing mid-market deals end to end - A consistent track record of overachievement against quota - A builder of your own pipeline: you can point to closed deals that started with your own prospecting, not a lead that landed in your inbox - Experience running multi-stakeholder deals, including building business cases and navigating procurement - Sharp communication and a natural ability to tell the story of a new category simply - Comfortable selling in a category that is still being defined, where you shape the buyer's thinking rather than respond to an existing budget line BONUS POINTS - Repeatedly achieving President's Club - Experience selling SEO, analytics, or martech software - Experience in a high-growth, venture-backed startup environment - A track record of selling to marketing, SEO, or growth buyers - You already know what GEO and AEO stand for. WHAT WE OFFER - Transparent comp with a 50/50 base to variable split, plus equity - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $121,000 to $141,500 annually with anticipated on-target earnings being $242,000-$283,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Mid-Market Account Executive to build and close pipeline in our larger accounts. Bigger deals, more people in the room, and a real commercial case to make. You'll own it end to end, from the first cold conversation to signature. You'll build your own pipeline into named accounts, work with the SDR team on coverage, and run the full cycle from there: multi-threading across the account and building the commercial narrative that gets AI search visibility onto a team's budget. We are defining the category, so part of the job is teaching the market what good looks like, not waiting for a buyer who already knows they need this. WHAT YOU'LL DO - Own and run the full sales cycle from first meeting to close across mid-market accounts - Multi-thread across marketing, SEO, growth, and procurement stakeholders, and build the business case that gets a deal signed - Generate your own pipeline into named accounts, and partner with SDRs and Marketing on targeted outbound and ABM across the patch - Keep the CRM and pipeline organised, with a strong handle on forecasting and deal progression - Share customer feedback and work with product and engineering to shape what we build WHAT WE'RE LOOKING FOR - 4+ years in a quota-carrying software sales role, closing mid-market deals end to end - A consistent track record of overachievement against quota - Experience running multi-stakeholder deals, including building business cases and navigating procurement - A builder of your own pipeline: you can point to closed deals that started with your own prospecting, not a lead that landed in your inbox - Excellent communication skills and a natural ability for storytelling - Comfortable selling in a category that is still being defined, where you shape the buyer's thinking rather than respond to an existing budget line BONUS POINTS - Experience selling SEO, analytics, or martech software - Experience in a high-growth, venture-backed startup environment - A track record of selling to marketing, SEO, or growth buyers - Repeatedly achieving president's club WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups - Regular team events and off-sites - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Paid Meal and Uber home when working late - The most beautiful office space and work environment in Berlin

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in! Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions . Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... You'll be a product manager in our Learning Pillar and will be responsible for developing products that make learning a new language fun and effective, regardless of one's level. We've recently introduced a number of new ways to learn, including Stories, DuoRadio, Adventures, and Video Call, and are always looking for better ways to teach. You will partner with your cross-functional peers to build delightful learning experiences, shape our overall learning strategy, and impact the lives of tens of millions of learners. 🧠  You will... Be responsible for improving the learning experience through delightful and impactful products Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration Establish the strategy for your focus area, and build alignment across product teams, cross-functional partners, and the leadership team Perform qualitative and quantitative research to explore and validate feature ideas Work with engineers to help guide feature development Perform experiment analysis on features and find opportunities for optimization Execute with urgency and excellence ✅  You have... A desire to make the world a better place through technology and education Experience generating outstanding results as a product manager Ability to utilize user insights, data, and statistical analyses to inform decisions Top-tier design sense -- every pixel matters at Duolingo Demonstrated ability to be resourceful, curious, and innovative The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $182,800 — $247,300 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Madrid, Spain; Barcelona, Spain Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ YOUR MISSION ⭐️   👩‍💻HELPING OUR MEMBERS As a Care Expert, your primary mission is to transform member requests into delightful experiences. You'll be their trusted guide, providing: ✨ Meaningful solutions that make a real difference ⚡️ Swift, timely responses when they need you most 🎯 Crystal-clear, accurate information 🤝 Transparent and helpful guidance every step of the way   You'll dive into the fascinating world of healthcare, mastering both: - The intricacies of the Spanish healthcare system - The unique needs of our B2B partners who've chosen Alan as their corporate health insurance provider Your role sits at the heart of what makes Alan special – turning complex healthcare questions into simple, human experiences.   👷IMPROVING ALAN 🎯 Your time at Alan: A perfect balance - 80% dedicated to providing exceptional member support - 20% driving innovative Care projects tailored to your unique expertise 🚀 Project leadership opportunities As a Care Expert, you'll have the chance to: ✨ Drive Process Excellence - Identify and implement key improvements - Transform data insights into actionable solutions - Lead end-to-end implementation 👥 Team impact - Guide and inspire fellow Alaners - Build high-performing project teams - Shape the future of Care at Alan 🌟 Example of projects you might lead: - Design member empowerment initiatives that boost autonomy - Collaborate on cross-community product innovations - Help us grow by attracting top Care talent   Your projects will be shaped by your passions and expertise, making each role truly unique!   ⭐ JOIN THE CARE TEAM! ⭐️ You will be a good fit for the role if you: - Have 2+ years of experience in a customer-support role - Master Spanish and English at a full working proficiency level (written and spoken) - Have a passion for caring for members, and solving their problems - Love written communication - Navigate technology with confidence and embrace digital tools and AI - Have a very empathetic mindset - Are motivated and entrepreneurial - Thrive in collaborative environments where you can both learn and share knowledge - Bonus points if you know how the Spanish healthcare system works — we will teach you if you don’t. 😉   🌍 HOW WE WORK - Location: You must be legally eligible to work from Spain. - Hybrid work: We offer remote work flexibility but we value in-person collaboration a lot.   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Build our capability in quantum sensing and magnetometry. The role covers NV-centre systems, optically pumped magnetometry and precision magnetic sensing, applying modelling and machine learning to improve characterisation and bring-up, and taking the results towards applied and commercial outcomes. Responsibilities Pillar 1 Sensing and Characterisation Model, calibrate and characterise NV-centre systems and magnetic-field sensors. Develop digital twins of sensing platforms and validate them against measurement. Apply machine learning to improve bring-up and characterisation time. Success Metrics and KPIs: sensitivity and calibration-time improvements demonstrated on real systems. Pillar 2 Applied and Commercial Explore applied sensing in biomagnetism and medical and industrial diagnostics. Work with Constructor's IP function where the work is patentable. Assess and develop spin-off and licensing pathways within the Constructor ecosystem. Success Metrics and KPIs: invention disclosures, applied use cases validated. Pillar 3 Research and Teaching Publish, and collaborate with Constructor University faculty and external sensing groups. Contribute to grant applications in quantum sensing. Co-supervise MSc projects and contribute to teaching-lab design. Success Metrics and KPIs: publications, collaborations, student projects supervised. Requirements Experience PhD in physics, with experience in NV centres, optically pumped magnetometry or precision magnetic sensing. Pulse sequence development, spin physics, or zero-field NMR. Hands-on experimental work as well as modelling. Track record of publication. Skills & Competencies Able to write the code you need. Interest in applied and commercial outcomes alongside the research. This is a capability we are building, not one you are joining. Clear scientific communication. Education & Languages PhD in physics or a closely related field. Fluent English. What This Role Is (and Is Not) This role IS A chance to build a sensing capability rather than join one. Research with a route to IP and commercial application. Real breadth across modelling and experiment. This role is NOT A purely academic postdoc. A role confined to modelling. A role without commercial orientation.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Lead our work on quantum simulation and atomic platforms. The role covers modelling and simulation of quantum many-body systems, model-based calibration of atomic hardware, and optimal control, combining research with a software product that puts those methods into other people's hands. Responsibilities Pillar 1 Simulation and Modelling Model and simulate quantum many-body systems, on hardware and in digital twins. Develop and validate models of neutral-atom and trapped-ion platforms against experimental data. Work on optimal control and pulse design for atomic systems. Success Metrics and KPIs: model accuracy against measurement, methods delivered into the product. Pillar 2 Hardware Engagement Support bring-up and calibration on partner and customer platforms. Act as the scientific interface to hardware vendors and research groups running atomic systems. Turn what is learned on hardware into product capability. Accountability: calibration methods that work on real systems, not only in simulation. Pillar 3 Research and Teaching Publish, and build collaborations with Constructor University faculty and external groups. Contribute to grant applications, including DFG and EU programmes. Contribute to course and teaching-lab material if that interests you. Success Metrics and KPIs: publications, collaborations established, grant applications supported. Requirements Experience PhD in physics, with hands-on experience in neutral atoms, trapped ions or quantum simulation. Optimal control, noise modelling or open quantum systems. Experience in a leading experimental or theory group. Track record of publication. Skills & Competencies Able to write the code you need. You do not need to be a software engineer. Comfortable moving between theory, simulation and real hardware. Interest in seeing methods reach users rather than stopping at the paper. Clear scientific communication. Education & Languages PhD in physics or a closely related field. Fluent English. What This Role Is (and Is Not) This role IS Research with a product behind it, and users at the end of it. A role with genuine publication and collaboration time. Access to hardware and to a university partner. This role is NOT A purely academic postdoc. A pure software role. A role confined to one hardware platform.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students and interns Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Build the simulation and model-learning engine at the centre of Constructor's quantum software. The work is numerics-heavy: differentiable simulation of physical systems, inference of model parameters from experimental data, and optimisation at scale. The role sits between physics and engineering and requires genuine depth in both. Responsibilities Pillar 1 Simulation Engine Build and maintain high-performance simulation code for open and closed quantum systems. Own the differentiable simulation and automatic differentiation layer. Drive performance. This code runs inside optimisation loops and speed decides what is possible. Maintain and extend the Julia core and its Python interface. Success Metrics and KPIs: simulation accuracy against measurement, runtime performance, API stability. Pillar 2 Model Learning and Optimisation Implement parameter inference and model learning from experimental data. Work on neural-network approaches to PDE solving and equation discovery. Benchmark against established academic tools and publish the comparison. Success Metrics and KPIs: benchmark results, methods adopted by the research group, publications. Pillar 3 Research Collaboration Work with Constructor University faculty on joint research and grant applications. Supervise graduate students and interns working on the engine. Contribute to course material on numerical simulation and machine learning for physics. Accountability: research collaborations initiated and sustained; students productive. Requirements Experience PhD or equivalent in physics, applied mathematics or computational science. Strong scientific computing in Julia, Python, JAX or comparable. Real numerical depth: ODE solvers, optimisation, stochastic processes, automatic differentiation. Published work, or code that others rely on. Skills & Competencies Able to take a method from a paper and make it fast, tested and usable. Comfortable owning code quality, not only correctness. Interest in supervising students alongside the engineering. Clear technical writing. Education & Languages PhD in physics, applied mathematics or computational science. Fluent English. What This Role Is (and Is Not) This role IS A research-grade engineering role with a product at the end of it. Central to the group's core technical asset. A role with a route into teaching and supervision if you want it. This role is NOT A pure research position without delivery. A general software engineering role. A role where someone else owns the numerics.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None initially Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own the product direction for Constructor's quantum software line and act as the bridge between a research group and a technology platform. This is a hands-on role in a small technical team, not portfolio management. The Head of Product decides what gets built, keeps research and engineering pointed at something shippable, and owns the relationship with the customers and partners who use it. Responsibilities Pillar 1 Product Direction Own the roadmap for the quantum software line and the decisions behind it. Define which capabilities go into the Constructor technology platform and in what order. Translate research capability into product that someone outside the group will pay for or use. Kill work that is not going anywhere, and say so clearly. Success Metrics and KPIs: roadmap delivered, features adopted, decisions made and held. Pillar 2 Research and Engineering Interface Sit between physicists and engineers and keep both productive. Run planning and prioritisation for a small, senior, opinionated team. Hold the technical depth to challenge both sides rather than relay between them. Accountability: research output converted into shipped product. Pillar 3 External Engagement Own customer, partner and vendor relationships directly. Work with Constructor Tech and Constructor University on joint offerings and teaching applications. Represent the group externally at conferences and with partners. Success Metrics and KPIs: partner engagements initiated and sustained, external visibility of the group. Requirements Experience Technical background in physics, engineering or computer science, with enough depth to hold your own with research scientists. Taken scientific or deep-tech software from research prototype to product. Run customer and partner engagements personally, not through a sales team. Worked somewhere small enough that the product person also does the work. Skills & Competencies Strong facilitation. You will be the person keeping a room of physicists on track. Comfortable being the only product person present. Able to say no and explain why. Clear communication with technical and non-technical audiences. Education & Languages Degree in a technical discipline; postgraduate qualification an advantage. Fluent English. What This Role Is (and Is Not) This role IS Hands-on, senior, and accountable for what the group ships. A role with real decision authority over direction. Externally facing. This role is NOT A programme or portfolio management role. A role with a product team reporting into it from day one. A commercial role without technical substance.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mumbai, India 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 an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. - Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.   By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Munich, Germany 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 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 an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for a Talent Operations Manager to own the systems, data, and operating rhythm behind how Render hires. You’ll architect our ATS, build the reporting that Talent and hiring teams rely on, and lead process changes that help us scale without losing quality. You’ll work closely with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners. You’ll make sure our hiring data can answer the questions teams need to make better decisions. This is a high-leverage role for someone who likes turning messy, fast-moving work into clear operating systems. You’ll help us reduce process drift, improve the candidate experience, keep hiring data trustworthy, and give the team better visibility into what is working, what is blocked, and where we need to adjust. We value people who are practical, systems-minded, and steady when the work gets complex. The right person can zoom out to design how the system should work, then zoom in to improve the field, report, access role, or automation that is slowing the team down. WHAT YOU’LL DO - Architect how our ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations - Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and visibility into hiring plan progress - Keep hiring data accurate and reconciled across the ATS, the hiring plan, and downstream systems so decisions get made on numbers people trust - Partner with People on job architecture, leveling, and offer consistency, and keep the ATS and People systems aligned as roles and plans change - Partner with Finance on hiring plan reconciliation and the reporting leadership uses to see where the plan stands - Turn recurring Talent Operations requests into better systems: identify patterns, improve workflows, automate repeatable work, and make the right processes self-serve - Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations - Own how our systems connect, including scoping, testing, and maintaining API-based reporting, integrations, and automations that reduce manual work for recruiters and coordinators - Lead process rollouts with clear documentation, training, adoption checks, and follow-through so changes stick WHAT WE’RE LOOKING FOR - 5+ years in recruiting, recruiting operations, talent operations, people systems, or a similar systems and data role in a high-growth environment - Deep ATS expertise, with Ashby strongly preferred. You can design how the system should work, not just maintain it, across custom fields, access roles, interview plans, automations, integrations, and reporting foundations - Strong analytical skills. You can take a vague question, decide what data would answer it, and build the report yourself - Proficient in Google Sheets or Excel. You can pull data together from multiple sources and turn the result into a case a cross-functional partner can follow - Experience owning data integrity across an ATS and the systems around it, including reconciling against a hiring plan or another source of truth - Strong program and change management skills. You can roll out a new process, teach it, measure adoption, and keep the team aligned - Clear written communication, strong documentation habits, high attention to detail, and good judgment in a fast-moving environment NICE-TO-HAVES - Experience building or scaling a recruiting operations function at a post-Series B/C company - Experience supporting technical recruiting teams or high-volume engineering hiring - Hands-on experience with the Ashby API or ATS-based reporting - Exposure to headcount planning or headcount management systems - AI fluency, with good judgment about where AI helps, where it adds risk, and what checks are needed before others rely on the output If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. 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. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view