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Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco, CA 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 Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE In this role, you will be a front-line manager to a group of Account Managers who are responsible for hunting, pitching, and expanding the existing customer base at Ramp. You'll lead a group of 6-8 Account Managers, each carrying a book of 60-70 Enterprise customers with real latitude over how they grow it. This is a build role, not a maintain role: the playbooks, coaching systems, and performance bar you set are the ones this team runs on next year. Your ceiling is set by how well you turn individual AM judgment into a repeatable, scalable motion that grows the segment. WHAT YOU'LL DO - Build and run a high-performing team of 6-8 Account Managers - setting the bar for culture, morale, and daily execution. - Get embedded in the relationships that matter. Engage directly with key customers and top accounts alongside your team, building trust and long-term partnership. - Own the number. Manage quota performance and pipeline generation across your team to hit spend activation, product activation, retention, and expansion goals. - Forecast and report team performance to senior leadership with clear-eyed visibility into what's working and what isn't. - Hire and develop the next generation of AMs - training on product, buyer personas, competition, and tooling through role-plays, game film, and real deal work. - Coach relentlessly. Run daily 1:1s, dissect call feedback, lead enablement sessions, and build career paths for every rep on your team. - Turn what works into a system. Continuously refine team processes and tooling to improve output and efficiency as the segment scales. - Represent Account Management cross-functionally, partnering with Sales, CX, CSM, Risk, and Product to remove blockers and drive outcomes. WHAT YOU NEED - Minimum 5 years of quota-carrying sales or account management experience as an individual contributor, with a proven, consistent track record of exceeding goals (new business or cross-sell/upsell experience mandatory) - Minimum 5 years building and leading account management or sales teams, with a track record of exceeding goal (new business or cross-sell/upsell experience mandatory) - Prior success in fast-paced, results-oriented GTM environments, ideally at SaaS or AI companies - A genuine passion for hiring, with a thoughtful approach to talent development - Ability to articulate contractual, technical, and financial value to customers, including C-Suite and executive leaders - Strong track record negotiating, structuring, and executing complex agreements - Proficiency with data analytics tools (Salesforce, Looker, Excel) and a bias toward using data to drive decisions - Strong collaboration and influencing skills, backed by excellent communication and presentation ability. - High agency and adaptability - no two days are the same, and the only constant is change - A desire and willingness to jump headfirst into complex, challenging problems for the good of the business. Great to Haves - Experience at a high-growth, top SaaS/AI startup - Bachelor's degree from an accredited university BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Executive Business Partner. About the job This position is needed to triage multiple deliverables with competing deadlines, take effective action without knowing the full picture, plan global offsite events, and provide proactive calendar support. You will partner with executives to drive execution on team initiatives in support of business priorities. You will be a part of an incredibly talented team of Executive Business Partners and Administrators. Responsibilities In this role, you’ll: Partner with your executives to understand their priorities in order to effectively address meeting requests and manage complex calendars and travel, stack rank meeting requests and redirect as needed. Serve as the point person for planning global, multi-day team onsite meetings. Work independently and execute decisions on behalf of your executives while exercising discretion in committing time and evaluating needs. Manage complex travel on behalf of your executives (domestic and international), prepare expenses, organize and assist with special events, team activities and successful meetings through research, participant coordination, material preparation and logistics management. Act as a point person for your executives’ direct reports, building strong relationships across their team(s) and internal and external stakeholders to progress your executives’ priorities and identify any challenges. Plan agendas, coordinate logistics for large meetings, draft presentations, take meeting minutes/actions, and coordinate oral and written communication for executives. Collaborate with your peer Executive Business Partners cross-functionally in alignment towards achieving company strategy, goals and objectives. Develop a deep understanding of the overall business in order to support your leader and team and your own career development. Collaborate with HR and department leaders to champion company values, foster a positive culture, and support team development programs. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 7+ years’ experience supporting executives in a fast-paced environment with the ability to make good decisions in sometimes ambiguous environments with changing priorities. Superior attention to detail, proactiveness, and high level of integrity and discretion in handling confidential information; strong verbal and written communication skills along with excellent organizational skills. Demonstrated ability to build cross-functional relationships, partnering closely with leaders and peers, and keeping multiple teams and projects on track in parallel. Experience planning domestic and international travel including air travel, hotel accommodations, visa requirements, etc. Confident abilities to plan and facilitate virtual, in person, or hybrid leadership summits and team-building events. Experience with contract management, procurement processes and proficiency with common administrative tools (i.e. Zoom, G-Suite, etc.) Excellent time-management skills, problem solving abilities, ability to anticipate needs and a master multi-tasker. Desired: Large event planning experience Previous support roles within the Tech industry Understanding of business operating cadences and team requirements to align and maintain rhythms Prior experience with contract management and procurement processes Ability to conduct research, create reports or presentations Managing T&E expenses to budget Strong written and verbal communication skills Ability to think outside the box and know when to pivot as needed Location This role will be <remote and based in the West Coast, USA Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until Nov 16th, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Adoption of AI is moving rapidly from pilots to production. Enterprises and public sector organizations are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we're committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for Germany and the DACH Region focused on the Public Sector & Enterprise Market, you'll be at the heart of our mission to empower businesses and government entities across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You'll work closely with leading enterprises, system integrators, technology partners, and public sector organizations to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses and government agencies. Your work will directly contribute to our success. You'll have the opportunity to shape partnerships that drive digital transformation in both commercial and public sectors, foster innovation, and position Cohere as a leader in the AI ecosystem. If you're a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world's most dynamic markets including the public sector, this role is your chance to shape the future of AI. KEY RESPONSIBILITIES PARTNER STRATEGY & EXECUTION - Define and execute Cohere's partner go-to-market plan for the Enterprise & Public Sector Market, aligning with regional business objectives. - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, cloud providers, and public sector consultancy firms. - Develop relationships with key stakeholders across the partner ecosystem, including government agencies, municipalities, and public sector institutions, to ensure partnership success. PARTNER ONBOARDING & ENABLEMENT - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere's solutions effectively for both commercial and public sector customers. - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers and government agencies. PIPELINE GENERATION & CO-SELLING - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere's capabilities with enterprise mission needs and public sector procurement cycles. - Collaborate with partners to identify and pursue high-value opportunities in both commercial and government contracts. BUSINESS PLANNING & PERFORMANCE TRACKING - Ensure partners are aligned with Cohere's strategic goals and performance metrics, including public sector compliance and reporting requirements. - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets. PARTNER ADVOCACY & FEEDBACK - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams. - Work with Cohere's Public Policy teams to navigate government AI policies and regulations to advise partners on risk management and responsible AI best practices for the public sector. THOUGHT LEADERSHIP & EVANGELISM - Evangelize Cohere's vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for both commercial and public sector markets. - Build thought leadership through briefings, speaking engagements, and collaborative initiatives focused on AI in government and public services. WHY YOU'LL LOVE THIS ROLE This is a high-impact role where you'll shape the future of AI partnerships in both commercial and public sectors. You'll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption across enterprises and government organizations. If you're passionate about building strategic alliances, driving innovation, and making a difference in one of the world's most dynamic markets including the public sector, this is the role for you. WHAT WE'RE LOOKING FOR - 8+ years of experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution and public sector partnerships. - Deep understanding of public sector organizations, government agencies, and municipal institutions, plus the enterprise market and key industry verticals. - Strong relationship-building and negotiation skills, with a track record of driving partner success in both commercial and public sector environments. - Experience and demonstrated depth with Sovereign Cloud GTM. - Ability to navigate complex regulatory and compliance landscapes, including AI ethics, government policies, and public sector procurement requirements. - Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows) and their applications in enterprise and public sector contexts. - Experience working with major system integrators, global consultancies, hyperscalers, and public sector technology partners including joint GTM and co-sell motions. - Excellent communication and presentation skills, with the ability to evangelize Cohere's vision to partners, government stakeholders, and industry organizations. - Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs across commercial and public sectors. This role is ideal for someone who enjoys working in a dynamic, cross-cultural environment and wants to make a meaningful impact on how AI transforms both businesses and public services. The Berlin location provides access to a vibrant tech ecosystem with strong connections to European public sector initiatives and government partnerships. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote - US Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partnership with application teams to improve visibility. Define capacity and retention strategy for the telemetry stack as the fleet grows. Infrastructure & Automation Own infrastructure-as-code for observability stack deployments across multiple Kubernetes clusters. Write and review automated playbooks for configuration management and automation across Debian-based bare metal servers. Partner with the SRE team on Consul-based service discovery for VictoriaMetrics scrape target automation. Lead Ceph storage observability, including OSD health, performance metrics, and integration with alerting. Collaborate with the Network Engineering team on BGP, routing, and network-level observability. Required Qualifications 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team. Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale. Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar. Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation. Proficiency in Python and/or Go for automation and tooling. Experience with Kubernetes, including deploying workloads and understanding pod networking and storage. Experience with infrastructure-as-code tooling and configuration management. Strong understanding of Linux internals, with Debian/Ubuntu preferred. Demonstrated experience mentoring engineers and raising the technical bar on a team. Excellent written and verbal communication skills. You'll work across engineering, SRE, security, and leadership, and you'll be expected to write design documents that drive decisions. Preferred Qualifications Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis. Experience building, deploying, or operating AI agents or agentic AI systems. This is a strong differentiator. Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context. Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps. Experience with incident management platforms. Familiarity with BGP, network observability, or working in multi-DC environments. Experience with secrets management in production environments. Experience operating in a regulated or compliance-driven environment. Prior experience in a storage-focused company or hyperscale infrastructure environment. What You'll Work On A telemetry stack spanning several data centers with exabytes of storage under observation. Real infrastructure at scale: Kubernetes, Ceph, Vitess, KVM, and a custom storage platform serving hundreds of thousands of customers. A collaborative team that values engineering excellence, transparency, and operational rigor. Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $178,000 - $200,000 plus 10% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: Berlin; Munich; Frankfurt Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? As our VP Sales, EMEA you will spearhead year-over-year revenue growth by developing and executing on enterprise level customer acquisition strategies across the region. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in EMEA. In this pivotal leadership role, you will cultivate and guide our enterprise sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Candidates must be based in Germany to be considered for this career opportunity. As our VP Sales, EMEA you will: - Develop, execute, and lead a comprehensive go-to-market growth strategy and strategic sales plan for EMEA, driving revenue growth and market expansion. - Provide strategic sales and operational leadership to Cohere’s cross-functional teams, ensuring alignment with company objectives - Serve as the primary representative of Cohere in EMEA, championing the company’s vision, products, and services. - Partner with global Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with the Head of Global Public Sector and Head of Government Affairs & Public Policy. - Manage and nurture relationships with enterprise-level clients and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. - Analyze and report on regional market trends, opportunities, client needs, and competitor activities to inform strategic decisions. This career opportunity may be a good match for you if you: - Are based in Germany. - Have 15+ years of executive level experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Possess a proven track record of leading enterprise-level consultative solution sales and business development efforts, with a deep understanding of regional GTM strategy, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As Lead Prototype Engineer on the Core Platform team, you will lead and grow a team of prototype engineers and technicians while staying hands-on at the bench. You’ll set the technical standard for how we build, diagnose, and evolve advanced humanoid robotic platforms. Your focus is electrical integration, bring-up, and root-cause analysis across the full hardware lifecycle, from concept and prototyping to field repair. You’ll emphasize reliability and repeatable processes. WHAT YOU'LL DO - Lead, mentor, and develop a team of prototype engineers and technicians. Set priorities, allocate work, and raise the team’s technical and process standards. - Stay hands-on: personally drive troubleshooting and resolution of the most complex electrical issues in prototype humanoid robots, across operational and in-development systems. Lead detailed failure analysis and share learnings with hardware and software engineering teams. - Own electrical bring-up of new prototype builds, including power distribution, motor drive and actuator electronics, sensor integration, communications buses, and high-density electromechanical integrations. - Collaborate closely with electrical, mechanical, firmware, and software engineers on prototype design, assembly, and design-for-test. - Define, maintain, and enforce test procedures, troubleshooting guides, and repair runbooks for the prototyping lab, and make sure the team follows them. - Design, document, and iterate on cable assemblies, wiring harnesses, and test jigs built for repeated use on dynamic robotic platforms. - Own lab planning and priorities: build schedules, resource allocation, tooling, equipment, and spares. Balance competing demands from multiple engineering teams. - Identify and drive continuous improvement in processes and products, reducing downtime, improving test and repair efficiency, and raising first-pass yield and manufacturability. - Build strong feedback loops across design, build, and test, and communicate status, risks, and lessons learned to engineering leadership. WHAT WE'RE LOOKING FOR - Strong, hands-on electrical engineering background in rapid prototyping, debugging custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Deep working knowledge of low-voltage power and mixed-signal circuits, motor drives, connectors, sensors, and compact electromechanical systems. You are comfortable using oscilloscopes, logic analyzers, power supplies, and other bench instrumentation to diagnose faults. - Experience reading schematics and PCB layouts, performing board-level rework and repair, and designing or specifying harnesses and cable assemblies. - Prior experience leading or mentoring engineers or technicians, formally or as a technical lead. You are comfortable taking on direct reports and balancing people management with hands-on work. - Track record of communicating concisely through documentation, procedures, test plans, diagnostics, and lessons learned. - Adept at collaborating across electrical, mechanical, and software boundaries to solve urgent, ambiguous problems. Mechanical prototyping skills are a plus. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. Preferred: - Experience designing for manufacturability and reliability in human-sized or mobile robotics. - Familiarity with automated test and diagnostic tools used in modern hardware labs. - Experience building or scaling a prototyping or field engineering team, including hiring and setting up lab processes. - Mechanical assembly and integration experience alongside strong electrical skills. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$200K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Toronto; Calgary; Winnipeg; Canada; London; Vancouver; United Kingdom; Halifax; Edmonton; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As our VP of Sales - Global Public Sector, you will spearhead year-over-year global revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in the public sector. In this pivotal leadership role, you will cultivate and guide our sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Key Responsibilities As our VP of Public Sector Sales you will: - Develop, execute, and lead a comprehensive, global go-to-market growth strategy and sales plan for the Public Sector, driving revenue growth and market expansion working with other regional sales teams. - Provide sales and operational leadership to Cohere’s PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. Qualifications This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network, including federal agencies, prime contractors, and industry associations with an emphasis on the Defense and Intelligence communities. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - Must be willing to travel (25-40%). WORKING LOCATION: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team. About the job Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance product team to manage Porting, Hosting, and ShortCodes. In this role, you will lead the product strategy, roadmap, and delivery for the core capabilities that allow customers to onboard, migrate, and maintain their numbers globally. You will focus on scaling automated self-service workflows, strengthening fraud and regulatory compliance guardrails, and migrating legacy capabilities onto modern platform architectures. Responsibilities In this role, you’ll: Own and execute the product vision, roadmap, and quarterly planning for Hosting, Porting, and ShortCodes product suites. Translate complex operational, regulatory, and technical requirements into PRDs for engineering teams. Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap. Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth. Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4+ years of product management experience delivering scalable SaaS, PaaS, or IaaS products Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working in a regulated ecosystem Location This role will be remote and based in the United States, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000 Based in the San Francisco Bay area, California: $151,120 - $188,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/26/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the role Ever walked into a local game store on release night and felt the buzz? That energy starts with stores getting into the Wizards Play Network, and that is where this role comes in. As a WPN Application Specialist, the contractor reviews retailer applications across North America and helps new stores get approved quickly and accurately, so they can open their doors to players sooner. This is a contract role focused on reviewing and approving applications rather than ongoing store coaching. It is a great fit for someone who loves getting the details right and takes real satisfaction in clearing a queue well. Curious what a day looks like? Mostly steady, focused review work, with the Retailer Success team close by whenever a case gets interesting. What the role involves The specialist reviews WPN retailer applications, account updates, and ownership transfers for North America, approving stores that meet WPN standards and flagging the ones that need a closer look. Keeping retailer records accurate and complete in our internal systems is a core part of the work, and so is following our review process and telling us when a step is unclear so we can make it better. Along the way, the specialist spots common patterns, like missing information on applications, and shares them with the team so we can make applying easier for stores. On the trickier or unusual cases, senior team members are there to partner and problem-solve together. What we're looking for We would love to hear from someone with some experience reviewing applications, or a background in retail, partner operations, or customer service. Strong judgment matters here: the ability to apply clear guidelines consistently and to know when a case is worth a second opinion. Clear and friendly written communication rounds it out, since good notes and clean handoffs keep the whole queue moving. And a genuine care for getting the details right, even on a busy day, goes a long way! Bonus points if you already know Wizards games or the tabletop gaming community, or if you have worked in tools like Salesforce or Smartsheet. None of these are dealbreakers. Good to know This is a fixed-term contract based in North America, and we may extend it as the work continues. You do not need to check every box to apply. If this sounds like you, we would genuinely love to see your application! Additional Details: Please note that this is a temporary assignment providing services to Wizards through an external staffing agency. If you are selected for this assignment, you will be employed by Workwell as a W2 employee and will not be an employee of Wizards. Employment Type: Contingent Worker Location: Hybrid Duration:  6 months Compensation Range, Currency USD: Starting Pay Range: $35/hour Pay Range End: $43/hour In compliance with local law, we are disclosing the hourly pay range for this role. Workwell offers US based Wizards temporary workers a comprehensive benefits package, including: Medical Dental Vision Health savings accounts Employee assistance program 401(k) retirement plan Paid Sick Leave (variable based on location) Paid Time Off and Holiday Pay Benefits listed below are for Full Time employees, the benefits listed above is for our contingent workers. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $35 — $42 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain is looking for a GTM Enablement Program Manager to help keep our growing go-to-market organization informed, enabled, and ready to execute as our products and company evolve. We operate in one of the fastest-moving areas of technology. Our products evolve quickly, new capabilities launch frequently, and the knowledge our GTM teams rely on is constantly changing. As we scale, we need a strong operating system that ensures sellers understand what we're building, why it matters, how to talk about it, and where to find the information they need. This role will own three critical areas of our enablement engine: Product Enablement, GTM Knowledge & Content, and Enablement Communications. You'll partner closely with Product, Engineering, Product Marketing, Sales, and Revenue Operations to turn product changes and company knowledge into scalable training, resources, communications, and systems for GTM. Working with cross funtional subject matter experts, your job is to turn messaging, trainings, and artifacts into field readiness—making sure GTM can learn it, find it, understand it, and use it. WHAT YOU'LL DO OWN PRODUCT ENABLEMENT - Own the product enablement engine. Stay closely connected to Product, Engineering, and Product Marketing to understand what's changing, determine the impact to GTM, and partner with these SMEs to build practical field enablement. - Own GTM readiness for product launches and major changes. Build the enablement plan from initial intake through launch, including training, communications, resource publication, reinforcement, and ongoing maintenance. - Build and maintain product training. Create and continuously improve product curriculum in our LMS and Content Hub so sellers have a clear learning path across our platform, products, use cases, positioning, and value. - Run live product enablement. Determine when asynchronous learning isn't enough, coordinate the right SMEs, and facilitate live sessions, workshops, demos, and deeper product training. - Measure readiness and close gaps. Use feedback, participation, knowledge checks, field questions, and other signals to understand where GTM needs additional reinforcement. OWN GTM KNOWLEDGE & CONTENT - Own the GTM knowledge system. Make it easy for sellers to quickly find accurate, relevant, and current information across our Content Hub, LMS, and other GTM systems. - Build scalable information architecture and governance. Establish clear taxonomy, templates, ownership, review cadences, freshness standards, and archival processes that keep GTM knowledge organized and current. - Manage the content lifecycle. Ensure training, product resources, competitive guidance, FAQs, recordings, and other enablement materials stay current as the business changes—and remove or archive information that is no longer relevant. - Operationalize canonical GTM content. Partner with Product Marketing and other subject matter experts to ensure approved messaging, competitive guidance, objection handling, and other core GTM knowledge is consistently structured, maintained, and accessible. - Build for humans and AI. Structure GTM knowledge so both sellers and AI-powered tools can reliably retrieve and use accurate context. Explore ways AI can improve content discovery, maintenance, gap detection, and enablement workflows. OWN ENABLEMENT COMMUNICATIONS & CADENCE - Own the GTM enablement communications engine. Manage Weekly Trace and other recurring enablement communications, consolidating product, program, and company updates into clear guidance for the field: What changed? Why does it matter? Where can I learn more? What do I need to do? - Run our recurring enablement cadence. Own the operational execution behind weekly enablement, including the calendar, SME coordination, materials, recordings, recaps, and follow-through. - Create signal from noise. Build predictable ways for GTM to stay current without requiring sellers to monitor dozens of Slack channels, documents, and product updates. - Improve the enablement operating system. Identify breakdowns in how information moves from Product, Engineering, Product Marketing, and other teams into GTM—and build scalable systems rather than continually working around them. WHAT WE'RE LOOKING FOR - 4+ years of experience in GTM enablement, product enablement, sales enablement, enablement operations, or a related role in a B2B technology company. - Experience owning product enablement programs, including product launches, training, ongoing curriculum, and field communications. - Experience building or managing product training for Sales or broader GTM audiences. - Strong technical curiosity. You don't need to be an engineer, but you should want to understand technical products deeply enough to explain them clearly and accurately. - Ability to translate complex product information into practical seller guidance: what it is, why it matters, who it's for, how to position it, and when to use it. - Experience organizing and maintaining a GTM knowledge or content system—not just creating individual pieces of content. - Strong understanding of content governance, information architecture, taxonomy, and knowledge lifecycle management. - Strong written communication skills and the ability to turn a large volume of information into clear, concise, actionable guidance. - Strong program management skills. You can manage multiple workstreams, SMEs, launches, deadlines, and recurring programs without losing the details. - High ownership and follow-through. You don't wait for someone to tell you that a launch isn't ready, information is outdated, or a process is broken—you proactively drive it to resolution. - A builder mentality. You're comfortable starting with an imperfect system, creating a V1, learning from users, and continuously improving it. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Revenue Operations. - AI fluency and curiosity about how structured knowledge can power agents, search, content generation, and internal GTM workflows. - Experience with knowledge-management platforms such as Notion and learning-management systems such as WorkRamp is a plus. - Familiarity with developer tools, AI/ML infrastructure, LLM applications, or agentic AI is a plus. Compensation: $150,000-180,000 base salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 30,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.