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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification. Key responsibilities Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally Own the platform layers that sit beneath every environment, including the agent runtime Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues Drive adoption of new frameworks across the organization, including deprecations and cutovers Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct Experience working productively in large, evolving, or research-style codebases that you didn't originally write Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing, dataset lifecycle management, or data lineage systems Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead Representative projects These are examples of the challenges the team tackles: Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves 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: $405,000 — $605,000 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board. You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed. Responsibilities Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage Create exec-support runbooks and SLAs that keep the service consistent as it grows Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them Establish the board member device, account, and access setup process with our Onboarding lane Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage Participate in the Core on-call rotation and contribute to the knowledge base and runbooks Maintain a regular on-site presence in San Francisco You may be a good fit if you have 7+ years of experience in IT support and 3+ years in executive support Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service Experience supporting executives, their assistants, or a board to a white-glove standard A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure Composure when an urgent escalation lands, and the judgment to know when to pull in help High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work A security-first mindset and excellent judgment about when user experience yields to security requirements Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work The instinct to write things down: runbooks, KB articles, and status updates that keep people informed Nice to have Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements AV depth beyond first response, such as broadcast, live events, or room design input Experience building runbooks, self-service content, or support automation Experience supporting AI/ML research environments or highly technical user bases Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $265,000 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: Montreal, Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing,  motor drive units,  onboard processors,  and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Development Engineer in Test - Contract Join PlayStation's global initiative to build innovative test automation systems in a sophisticated environment. Engage with engineers, product owners, and designers to ensure high-quality products for millions of users. Responsibilities: Design, develop, and execute comprehensive test strategies, test plans, and test cases across UI, API, and backend systems to ensure high-quality feature delivery. Collaborate closely with software engineers, product managers, and cross-functional teams to define test coverage and quality goals early in the development lifecycle. Build, maintain, and scale robust automation frameworks for UI, API, service-level,and end-to-end testing, including device and performance testing. Design and build testing infrastructure to enable automated service validation, shifting quality efforts beyond traditional UI testing and into backend systems. Continuously improve quality engineering practices by introducing new standards, tools, and processes, and driving their adoption across teams. Develop reusable test utilities, APIs, and libraries to improve efficiency and consistency in automation. Maintain and enhance existing automation frameworks (Python, Selenium, etc.) for scalability, reliability, and performance. Partner with infrastructure teams to design, implement, and optimize CI/CD pipelines and quality gates. Analyze test results, identify root causes of defects, and work with development teams to drive timely resolution. Support release readiness activities by validating features, assessing quality risks, and providing actionable recommendations. Advocate for a shift-left testing approach, embedding quality practices throughout the software development lifecycle. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 5+ years of experience in software testing, including designing and executing test plans and test cases. 3+ years of hands-on experience building and maintaining automated tests for web, mobile, APIs, and/or backend services. Proficiency in at least one programming language such as Python (preferred), Java, or JavaScript. Strong experience testing REST APIs and service-oriented architectures, including API validation, integration testing, and contract testing. Experience with contract testing frameworks such as Pact or similar consumer-driven contract testing solutions. Familiarity with gRPC services, Protocol Buffers, and service-to-service testing methodologies. Experience with test automation frameworks such as Selenium and/or Appium. Strong experience with API testing tools and frameworks (e.g., Postman, REST Assured, GraphQL, gRPC). Familiarity with modern development and DevOps tools (e.g., Git, Jenkins, Docker). Solid understanding of software development lifecycle, CI/CD practices, and test methodologies. Strong analytical, debugging, and problem-solving skills. Ability to work effectively in a fast-paced, agile environment with minimal supervision. Excellent written and verbal communication skills. Preferred Qualifications: Test or development experience on a non-PC device (phone/game console/set-top box, etc.). Experience with React Native. Experience with event-driven architectures and messaging systems. Experience with test containers, mocking frameworks, and service virtualization. Exposure to microservices architecture and distributed system testing strategies. Experience with performance, load, and scalability testing tools and practices. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $60 — $80 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and operates our own networking stack end-to-end. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in network infrastructure, particularly with experience in edge/ingress networking and Kubernetes networking internals. Areas of focus include scaling and evolving our traffic routing and load balancing systems; advancing Kubernetes and Linux networking components to support large-scale, zero-downtime operation; and exploring networking for Render’s next-generation compute platforms. WHAT YOU'LL DO - Own Render's core network infrastructure across multiple data centers and cloud providers. Shape how networking evolves as Render rapidly scales. - Design and build customer-facing networking capabilities that give users greater flexibility in how their services connect, communicate, and how traffic is routed. - Investigate complex networking issues across the stack, from the kernel and data plane to distributed systems and edge networking. - Drive performance and reliability improvements through systematic profiling and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 6 years of experience building and operating large-scale networking or infrastructure systems. - Experience with Kubernetes networking internals (e.g. kube-proxy, CNI plugins, service routing) or similar container networking technology. - Experience with Linux networking internals (e.g. routing, netfilter/iptables/nftables, conntrack) in production environments. - Experience building and operating traffic routing systems (e.g. load balancers, ingress, proxies) at scale. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing high-risk changes with minimal downtime. NICE-TO-HAVES - Experience with eBPF or advanced Linux kernel networking. - Experience developing systems in Go or similar languages that interact with low-level OS and networking primitives. RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence,   and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve. Responsibilities Land our mission and differentiation. You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date. Ensure internal and external readiness. You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners. Connect the field to the content. You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room. Measuring Impact. You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see. You may be a good fit if you have A working understanding of how Cloud Service Providers go to market Deep understanding of what motivates sellers, and how to land a message so it gets retained A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!) The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once The ability to influence people you don't manage, across Anthropic and inside large partner organizations Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team Strong candidates may also have Experience with marketplace and/or reseller motions Experience shaping positioning and differentiation for enterprise buyers Experience launching technical products or platform capabilities through a channel or partner ecosystem Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain Experience using AI in your own day-to-day workflows to extend your scale and reach Familiarity with LMS and partner portal platforms 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: $270,000 — $310,000 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: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; 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! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote. As an Data Annotation Specialist, you will: - Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments. - Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on. - Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard. - Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy. - Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model. - Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed. - Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade. You may be a good fit if you have: - 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking. - Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer. - Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving. - A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus. - Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. Candidate Journey - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.

Location: New York City Office Workplace: Hybrid COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As an Enterprise Solutions Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers — large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking. You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success. This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy. RESPONSIBILITIES - Lead end-to-end enterprise implementations, from discovery to post-go-live - Align cross-functional teams and manage project delivery, risks, and change - Conduct operational audits to identify workflow gaps and automation opportunities - Design scalable, configurable solutions using Tennr’s platform and APIs - Reimagine processes with automation best practices, not just replicate legacy systems - Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope - Maintain documentation, enable knowledge transfer, and improve internal delivery tools - Support sales strategy, mentor junior team members, and influence product roadmap QUALIFICATIONS - 4+ years of experience in enterprise SaaS delivery or solution design - A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred - Strong understanding of APIs, systems integration, and technical architecture - Proven ability to lead complex technical engagements with large enterprise customers - Skilled at communicating technical concepts to both executive and technical audiences - Experience navigating complex org structures and aligning cross-functional stakeholders - Strong problem-solving skills with a focus on strategic, scalable solutions - Business acumen and domain fluency — ideally in healthcare or similarly complex industries - Comfortable with ambiguity and fast-paced, unstructured environments - Demonstrated ability to mentor others and contribute to team-wide best practices - High ownership mindset and urgency — proactive, resourceful, and impact-driven Nice to Haves - Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato) - Background in consulting, solution architecture, or technical customer success - Experience in startup environments or scaling delivery functions WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: Barcelona, Spain Workplace: hybrid Barcelona, Spain · Full-time · On-site (4 days/week) ⚓ About Click&Boat Click&Boat is Europe's leading boat rental marketplace, connecting millions of users with boat owners across 600+ destinations worldwide. With over €170M in annual GMV and a community of 2.4M+ registered users, we're transforming the way people experience the sea. Headquartered in Paris with a growing team in Barcelona, we combine the agility of a startup (~150 people) with the ambition of a category leader. We believe in building a company where autonomy, speed, and impact define everyday work, and we're looking for people who share that mindset. To support this ambition, we're hiring a VP Sales to lead our human-led Sales strategy and join our growing team in Barcelona. 🚤 The role We're looking for a VP Sales to join our crew in Barcelona and own the strategy for our human-led Sales: the part of our business where a Sales rep steps in between a tenant and an owner to close the deal. This is an inbound, transactional, high-volume business (40k leads per year), international and B2C, with an average basket of €7K. Reporting directly to the COO, you'll lead a team of 4 Sales Managers handling around 15 Sales Executives and 25 seasonal employees, with full ownership of your team's recruitment and the whole Sales cycle. Today, the Sales team drives 20% of the company's revenue, as 80% is product-led. Your mission is clear: deliver the yearly expected revenue base while : Challenging the Sales approach we've had for the past 10 years Managing potential geographical and segment expansion Assessing where AI could be wisely introduced in our Sales cycle. You'll shape the strategy, own the execution, and measure the impact. 🛟 What floats your boat You will be responsible for the following: Defining and executing the human-led Sales strategy, from first contact to closing, to reach your revenue objective. Lead generation stays out of your scope. Leading, mentoring, and growing a team of 4 Sales Managers, setting clear objectives aligned with company goals and building a culture of accountability, constant feedback, and raising the bar. Ensuring the quality and delivery of recruitment by collaborating with the Talent Acquisition team. Managing the Sales side of potential business expansion into new geographies like the U.S. or segments like luxury yachting. Introducing AI into the dealflow when relevant. Managing your P&L according to budget. 🧭 What you bring aboard 8+ years of experience in Sales, ideally in a B2C, e-commerce, or consumer tech environment. 5+ years of experience managing a team and driving performance through coaching, prioritisation, and clear goal-setting. A first experience of managing managers. A doer and problem-solver with a massive bias for action, comfortable rolling up your sleeves and balancing the long-term view with short-term workarounds. Data-obsessed and analytically rigorous: comfortable building and reading dashboards (Tableau or equivalent) to report on your line of business with accuracy. Excellent stakeholder management skills, able to collaborate effectively with Tech, Marketing, and Business teams while minimising dependencies. Full proficiency in English is required. 🌊 Bonus points (great to have, never a dealbreaker) Spanish or French. Seasonal experience with scale-up/scale-down. 🗺 The hiring journey HR call (Guillaume) - 45 min. Culture fit, motivation, salary alignment, experience overview. Deep-dive with the COO , your hiring manager - 1h30. Strategic thinking; Sales expertise (track record, Sales mindset); Management expertise (leadership style, hands-on attitude); Data skills (analytical rigour). Business case , with the COO - 1h30. Assessing strategic vision, structured thinking, ability to prioritise, data-driven reasoning, and communication. Case details set by the COO. Validation and culture fit call (CEO/ VP HR) - 1h. Final alignment, open questions, culture and values fit, expectations, and onboarding. We aim to keep things smooth, transparent, and respectful of your time throughout the process. ⛵ What awaits you aboard 🎯 Massive scope and autonomy: you're the Sales leader, no central team handing you a playbook. You define the strategy, hire the team, and own the results end to end. 💪 High & direct impact: 20% of our revenue line is on your shoulders. ⚡ A fast-paced, entrepreneurial environment where speed and initiative are valued over process and hierarchy. 💻 Remote work policy: 1 day per week, depending on periods of the year and seniority. 🥪 Lunch vouchers (Cobee). 🥐 Breakfast every Tuesday morning. 🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and a 20-minute walk from the sea. 🎉 Team-building activities. Contract: Full-time, permanent. Reports to: Chief Operating Officer. Team: 4 direct reports; 15 Sales Executives; 25–30 seasonal Sales. 🪝 Ready to come aboard? If this opportunity sounds like your next adventure, hit "apply to this job". At Click&Boat, every application is reviewed with equal care and attention, strictly based on merit and regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We are committed to an inclusive process and will provide reasonable accommodations upon request during both selection and employment—because we hire for talent, drive, and mindset, and the sea is open to all. 🌊

Location: El Salvador (Remote) Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Role OKX is one of the world's leading digital asset exchanges, with a regulated and actively expanding presence across Latin America. We are looking for a senior compliance professional to join our LatAm team as Compliance Officer for El Salvador and permanent support for LatAm jurisdictions. This role combines day-to-day case management with direct regulatory reporting obligations before local authorities, and requires the ability to independently lead process improvements while acting as the key liaison between the global compliance operations team and the regional team. Strategic Responsibilities Design, implementation and continuous improvement of the AML/CFT compliance program for El Salvador in alignment with the global standards. Lead and implement process improvement initiatives across operational workflows and control frameworks throughout LATAM jurisdictions. Serve as the primary point of contact between the global compliance operations team and the local/regional team, ensuring alignment on policies, procedures, escalation protocols, and regulatory standards. Develop scalable solutions for operational efficiency, accounting for both current regulatory requirements and anticipated changes. Drive cross-functional collaboration to address regulatory challenges, working with Legal, Finance, Risk, and Product teams as needed. Contribute to knowledge-sharing across compliance functions and support training efforts for the regional team. Daily Responsibilities Throughout LATAM jurisdictions: Review and resolve escalated Transaction Monitoring cases referred by the operational team: apply senior risk-based judgment to complex or ambiguous alerts, make final suspicious activity determinations, and ensure all case documentation meets the evidentiary standard required for regulatory defensibility. Review and resolve escalated EDD cases for high-risk customers in accordance with local regulation requirements. Make final match/no-match decisions on escalated sanctions screening cases referred by the operational team. Review and determine escalated PEP cases, applying intensified due diligence measures where required and setting the standard for what warrants escalation in the first place. Own the preparation and submission of Reportes de Operaciones Sospechosas (ROS/SARs) to the UIF. Own the preparation and timely submission of all mandatory periodic regulatory reports before local authorities. Qualifications & Experience 4–6 years of verifiable experience in global AML compliance standards applicable to VASPs/PSPs; in-depth knowledge of AML/CFT operations (CDD, EDD, transaction monitoring, sanctions, PEPs). At least 2 years of verifiable experience in compliance with a Crypto company. [Mandatory] Stakeholder management skills: ability to interact with senior leadership, and cross-functional teams. Advanced knowledge of AML/CFT compliance operations, including CDD, EDD, transaction monitoring, sanctions, and PEP screening. Demonstrated ability to independently manage high-risk cases and make sound, risk-based compliance judgments. Proficiency with blockchain analytics tools (Chainalysis, Elliptic, TRM Labs or equivalent). Knowledge of regional and global VASP regulatory frameworks, with focus El Salvador. Experience in additional LATAM jurisdictions is a plus. Fluency in Spanish is required; English proficiency is strongly preferred. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events #LI-EWR1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Guangdong Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax's product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.    We develop local teams because we understand that local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.    The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems' production includes four factories, two of which are located in Ukraine, one in Turkey, and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. The role You own operational procurement for a defined commodity/category of components end-to-end — from purchase order to component delivered to our factory, on time, in the right quantity and at the agreed quality. Because we run our own production across several manufacturing locations, you are the day-to-day single point of contact with your suppliers and the link between them and our Planning, Quality, Logistics and Finance teams. We move fast, and our scope keeps growing and changing. We expect a strong getting-things-done attitude and hands-on. Own your issues end-to-end, stay close to the detail, and close them. Key responsibilities: Full order management, expedite / de-expedite and drive OTIF ≥ 97 % for your category (e.g., passive components, PCBs, semiconductors, mechanicals, plastics, raw materials, radio modules). Manage shortages and escalations end-to-end; keep production running across our sites and stakeholders informed. Own the day-to-day cost of your category — recommend solutions that optimise cost without compromising quality or delivery. Visit suppliers and production sites as needed — including urgent cases and primary/quality inspections — to understand the process and strengthen good results and cooperation. Uphold integrity in all supplier dealings — transparent, fair and free of conflicts of interest. Drive process improvements and digitalisation within your scope. What we expect: 8+ years as Commodity Buyer / Operational Buyer / Procurement Specialist in a manufacturing environment — ideally supplying components to in-house production. Solid command of the end-to-end purchase-to-pay process and a confident user of an ERP system + Excel English at B2 level for daily work with international stakeholders across our manufacturing locations. Ability to manage several projects and priorities at the same time, identifying problems and driving them to a result. Strong getting-things-done attitude: ownership, sense of urgency, hands-on involvement, structured problem-solving, and flexibility for a growing and changing scope. Willingness to travel to suppliers and production sites as required. Bachelor’s degree in a relevant field (Supply Chain, Engineering, Economics, or similar); a technical degree is a plus. Hands-on SAP experience — a strong plus as we evaluate it for our procurement landscape. Experience with Jira and Confluence. Master’s degree in finance, engineering, or supply-chain / foreign-economic-activity.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are seeking a hands-on Director of AI Enablement to identify high-value business problems, deliver AI solutions in real operational environments, and turn proven approaches into reusable enterprise capabilities. The role combines the business immersion and problem discovery of a Deployment Strategist , the technical delivery capability of a Forward-Deployed Engineer , and the product judgment required to standardize successful solutions. You will work directly with teams such as Compliance, Legal, Risk, Customer Service, Operations, and GBS, in partnership with Product, Engineering, Data, Security, and Infrastructure. Success is measured by business impact and sustained adoption—not the number of pilots launched. What You’ll Be Doing 1. Find and Prioritize High-Value Problems Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points. Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these. Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential. Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans. 2. Build and Deliver Solutions Define the minimum valuable product and rapidly validate it with real users and data. Personally prototype solutions such as copilots, agents, workflow automations, and internal tools. For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness. Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover. 3. Drive Adoption and Business Impact Design solutions with users and adapt workflows based on real operational behavior. Lead pilots, enablement, training, and change management required for sustained adoption. Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage. Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model. 4. Productize and Scale What Works Identify recurring workflows, data needs, integrations, and governance requirements across teams. Convert successful deployments into reusable components, templates, reference architectures, or configurable products. Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability. Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement. Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions. What We Look For In You 4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering. Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement. Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows. Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering. Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability. Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems. Experience turning bespoke business needs into reusable products, shared services, or operating standards. Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives. High ownership and comfort operating in ambiguous, fast-changing environments. Nice-To-Haves Experience in fintech, crypto/blockchain, financial services, or another regulated industry. Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions. Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations. Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team. Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems. Expected Outcomes Within the first 6–12 months, the successful candidate will be expected to: Establish a repeatable approach for identifying and prioritizing high-value AI opportunities. Deliver production use cases with measurable operational impact and sustained adoption. Create clear ownership and decision paths from prototype to production, scale, handover, or stop. Turn selected deployments into reusable capabilities adopted by multiple teams. Build a network of business champions and technical partners capable of scaling AI adoption across the organization. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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 a Senior Functional Safety Engineer on our Systems Engineering team, you will have the unique opportunity to contribute to the development of cutting-edge safety-related systems for our industrial and home robots. You will be working closely with the Functional Safety Lead to support safety lifecycle activities and will be leading the development of safety-critical subsystems. This is a high-impact role for an experienced engineer with a proven record of delivering and certifying safety-related systems, preferably in the robotics domain. If you have a strong understanding of functional safety fundamentals & industry standards, innovative thinking, and a capacity for detailed work on complex systems, we'd love to hear from you. WHAT YOU'LL DO - Lead or support activities across the complete safety lifecycle, starting from initial concept all the way to validation and certification. - Lead or support the development of novel safety assurance arguments, for individual subsystems as well as the overall products. - Contribute to safety concept definition and support detailed technical development of safety-critical systems. - Collaborate across disciplines to define, communicate, and validate safety-critical requirements for sensors, controllers, actuators including hardware and software. - Perform safety analyses like FMEA, FMEDA, FTA etc. - Create and maintain technical documentation to support the safety case, such as risk assessments, functional safety concept, safety requirement specifications (SRS), verification & validation plans and test reports. - Ensure compliance with regulations and international standards. WHAT WE'RE LOOKING FOR - 5+ years experience and deep technical expertise in development of safety-critical systems. - Proven record of applying functional safety standards for embedded systems (e.g. IEC 61508, IEC 62061, ISO 13849, ISO 26262 or similar). - Experience with robotics safety standards (e.g. ISO 10218, ISO 13482, ISO 3691-4). - Experience with safety case development and certification, especially for autonomous systems. - Familiarity with safety standards for sensors and actuators (e.g. IEC 61496, IEC 62998, IEC 61800-5-2). - Understanding of AI functional safety standards is a plus (e.g. ISO/IEC TR 5469, ISO PAS 8800 or similar). - Hands-on experience of design, implementation and validation of safety systems for mobile robots or dynamic systems (e.g., AMRs, bipedal robots, exoskeletons, mobile manipulators or robots with collaborative applications). - Strong verbal and written communication skills; author technical documentation, navigate deep technical analysis with expert engineers, and deliver high-level summaries to an executive audience. 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.

Location: Remote; New York, NY Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. You will carry a book of 10-30 accounts - $1B to $5B+ revenue companies. You work in a pod with a dedicated Enterprise Engagement Manager on a shared book: one account plan, shared customer outcomes, and comp designed to maximize earnings and customer value. This is a role that requires a depth of expertise selling to Fortune 500 companies, knowing how to architect multi-disciplinary commercial deals, comfort regularly selling to C-Suite executives, and strategic GTM deal architecture. WHAT YOU'LL DO - Run 10-30 concurrent enterprise cycles a year at $100K - $1M+, from first outbound through production deployment - Build multi-threaded relationships across creative, marketing, technology, and procurement in $5B+ organizations - Win new logos in whitespace and source expansion in existing accounts - Work your pod plan with your Engagement Manager so consumption milestones land quickly - Forecast with the discipline of someone the CRO plans around: staged exits, named next steps, no happy ears WHAT YOU'LL NEED - 5+ years of enterprise software sales with consistent six and seven-figure deals - A quota history above 100% you can walk through year by year, President's Club achievement, etc. - Demonstrated account development: you have grown named accounts 2-3x, and renewals were the floor of that growth - Command of MEDDPICC or equivalent, with the CRM hygiene to prove your pipeline is real - Working AI fluency - you use generative tools yourself and can demo credibly to a skeptical enterprise buyer STRONG CANDIDATES MAY ALSO HAVE - Sold creative or content technology - Sold consumption or usage-based contracts - Sourced the majority of your own pipeline COMPENSATION OTE $275K - $340K (50/50 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote; Denver, CO; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal. This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security). Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform. If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk. WHAT YOU'LL DO - Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates - Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO - Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment - Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book - Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins. WHAT YOU'LL NEED - 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader - A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it - Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies - Experience running consumption or usage-based revenue models, where expansion is earned through customer value - Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going - Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams - A record of exceeding quota year-over-year STRONG CANDIDATES MAY ALSO HAVE - Experience selling API and AI infrastructure solutions to CTO / CIOs - Sold creative, media, or content technology to Fortune 500 marketing and studio organizations - Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership - Scaled a GTM org through the $100M to $500M+ revenue stage COMPENSATION OTE $400K - 475K (60/40 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco; New York City Workplace: Hybrid Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform. RESPONSIBILITIES OWN STRATEGIC FINANCIAL-SERVICES ENGAGEMENTS - Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities - Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate - 6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar - Experience selling or deploying technology into regulated financial institutions, including security and compliance review - Founder or early-startup operating experience - Strong network across buy-side and sell-side institutions If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

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 Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications. This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries. Key responsibilities Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market Minimum qualifications Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders Have a track record of building trusted advisor relationships with technical hiring managers Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach Preferred qualifications Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space Demonstrated success working within GTM recruiting organizations during periods of hypergrowth Expertise in developing specialized recruiting practices within broader team structures Familiarity with the challenges of deploying AI systems in enterprise environments Experience collaborating across recruiting teams to share resources and best practices A technical background or successful track record recruiting for highly specialized technical positions 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: $175,000 — $240,000 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.