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Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; 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 Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: North Carolina About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking a full-time Travel Clinical Educator, Surgical Technology to support Stepful’s Surgical Technology program across multiple locations around the United States. This role is responsible for delivering high-quality, hands-on skills instruction, supporting student remediation, and ensuring strong clinical and certification outcomes. In addition to teaching, the Clinical Educator will serve as a key on-site representative of Stepful, partnering with our clinical sites to support client onboarding and program implementation between 11-week cohorts. This role requires regular travel and close collaboration with both internal teams and external partners between cohorts. This full-time, travel-based role reports into the Program Director, Surgical Services. Stepful will cover reasonable travel expenses required for the role. This includes flights, transportation, and hotel accommodations. All travel-related expenses must be pre-approved by the employee’s manager and comply with the Company’s travel policy. What you’ll do: - Teach and facilitate skills labs and clinical instruction across assigned Stepful cohorts. - Demonstrate proper techniques, provide live step-by-step instruction, and supervise practice. - Assess student competency and provide feedback and remediation as needed. - Ensure students achieve mastery of skills before advancing to clinical rotations. - Coordinate with hospital preceptors to align experiences with program goals. - Document student progress and report clinical outcomes. - Represent Stepful on client and partner calls, supporting our solutions team with implementation. - Provide insights to enhance the student and partner experience. What you’ll bring: - Willingness to travel to multiple clinical sites around the United States (this is a travel-based role!) - Current Surgical Tech certification (CST or NCCT) - 3+ years of experience teaching Surgical Technology in a lab or school setting - Hands-on experience as a Surgical Technologist in the operating room - Strong written and oral communication skills - The ability to be hands-on, resourceful, and willing to do what it takes to get the job done and thrive in fast-paced, evolving environments - Current BLS certification Bonus points if you have: - CRCST certification and/or experience teaching Sterile Processing - Bachelor’s degree in a related healthcare field - Experience with competency-based education models - Experience supporting diverse and underserved student populations - Familiarity with NCCT certification requirements - Previous experience with online or hybrid education programs Interview Process: - Intro Call with Talent Team - Interview with Program Director - Case Study Assignment - Panel Interview + Live Teaching Demo - Final Interviews Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: Georgia About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking a full-time Travel Clinical Educator, Surgical Technology to support Stepful’s Surgical Technology program across multiple locations around the United States. This role is responsible for delivering high-quality, hands-on skills instruction, supporting student remediation, and ensuring strong clinical and certification outcomes. In addition to teaching, the Clinical Educator will serve as a key on-site representative of Stepful, partnering with our clinical sites to support client onboarding and program implementation between 11-week cohorts. This role requires regular travel and close collaboration with both internal teams and external partners between cohorts. This full-time, travel-based role reports into the Program Director, Surgical Services. Stepful will cover reasonable travel expenses required for the role. This includes flights, transportation, and hotel accommodations. All travel-related expenses must be pre-approved by the employee’s manager and comply with the Company’s travel policy. What you’ll do: - Teach and facilitate skills labs and clinical instruction across assigned Stepful cohorts. - Demonstrate proper techniques, provide live step-by-step instruction, and supervise practice. - Assess student competency and provide feedback and remediation as needed. - Ensure students achieve mastery of skills before advancing to clinical rotations. - Coordinate with hospital preceptors to align experiences with program goals. - Document student progress and report clinical outcomes. - Represent Stepful on client and partner calls, supporting our solutions team with implementation. - Provide insights to enhance the student and partner experience. What you’ll bring: - Willingness to travel to multiple clinical sites around the United States (this is a travel-based role!) - Current Surgical Tech certification (CST or NCCT) - 3+ years of experience teaching Surgical Technology in a lab or school setting - Hands-on experience as a Surgical Technologist in the operating room - Strong written and oral communication skills - The ability to be hands-on, resourceful, and willing to do what it takes to get the job done and thrive in fast-paced, evolving environments - Current BLS certification Bonus points if you have: - CRCST certification and/or experience teaching Sterile Processing - Bachelor’s degree in a related healthcare field - Experience with competency-based education models - Experience supporting diverse and underserved student populations - Familiarity with NCCT certification requirements - Previous experience with online or hybrid education programs Interview Process: - Intro Call with Talent Team - Interview with Program Director - Case Study Assignment - Panel Interview + Live Teaching Demo - Final Interviews Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: New Jersey About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking a full-time Travel Clinical Educator, Surgical Technology to support Stepful’s Surgical Technology program across multiple locations around the United States. This role is responsible for delivering high-quality, hands-on skills instruction, supporting student remediation, and ensuring strong clinical and certification outcomes. In addition to teaching, the Clinical Educator will serve as a key on-site representative of Stepful, partnering with our clinical sites to support client onboarding and program implementation between 11-week cohorts. This role requires regular travel and close collaboration with both internal teams and external partners between cohorts. This full-time, travel-based role reports into the Program Director, Surgical Services. Stepful will cover reasonable travel expenses required for the role. This includes flights, transportation, and hotel accommodations. All travel-related expenses must be pre-approved by the employee’s manager and comply with the Company’s travel policy. What you’ll do: - Teach and facilitate skills labs and clinical instruction across assigned Stepful cohorts. - Demonstrate proper techniques, provide live step-by-step instruction, and supervise practice. - Assess student competency and provide feedback and remediation as needed. - Ensure students achieve mastery of skills before advancing to clinical rotations. - Coordinate with hospital preceptors to align experiences with program goals. - Document student progress and report clinical outcomes. - Represent Stepful on client and partner calls, supporting our solutions team with implementation. - Provide insights to enhance the student and partner experience. What you’ll bring: - Willingness to travel to multiple clinical sites around the United States (this is a travel-based role!) - Current Surgical Tech certification (CST or NCCT) - 3+ years of experience teaching Surgical Technology in a lab or school setting - Hands-on experience as a Surgical Technologist in the operating room - Strong written and oral communication skills - The ability to be hands-on, resourceful, and willing to do what it takes to get the job done and thrive in fast-paced, evolving environments - Current BLS certification Bonus points if you have: - CRCST certification and/or experience teaching Sterile Processing - Bachelor’s degree in a related healthcare field - Experience with competency-based education models - Experience supporting diverse and underserved student populations - Familiarity with NCCT certification requirements - Previous experience with online or hybrid education programs Interview Process: - Intro Call with Talent Team - Interview with Program Director - Case Study Assignment - Panel Interview + Live Teaching Demo - Final Interviews Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: Florida Workplace: Hybrid About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We are seeking a full-time Travel Clinical Educator, Surgical Technology to support Stepful’s Surgical Technology program across multiple locations around the United States. This role is responsible for delivering high-quality, hands-on skills instruction, supporting student remediation, and ensuring strong clinical and certification outcomes. In addition to teaching, the Clinical Educator will serve as a key on-site representative of Stepful, partnering with our clinical sites to support client onboarding and program implementation between 11-week cohorts. This role requires regular travel and close collaboration with both internal teams and external partners between cohorts. This full-time, travel-based role reports into the Program Director, Surgical Services. Stepful will cover reasonable travel expenses required for the role. This includes flights, transportation, and hotel accommodations. All travel-related expenses must be pre-approved by the employee’s manager and comply with the Company’s travel policy. What you’ll do: - Teach and facilitate skills labs and clinical instruction across assigned Stepful cohorts. - Demonstrate proper techniques, provide live step-by-step instruction, and supervise practice. - Assess student competency and provide feedback and remediation as needed. - Ensure students achieve mastery of skills before advancing to clinical rotations. - Coordinate with hospital preceptors to align experiences with program goals. - Document student progress and report clinical outcomes. - Represent Stepful on client and partner calls, supporting our solutions team with implementation. - Provide insights to enhance the student and partner experience. What you’ll bring: - Willingness to travel to multiple clinical sites around the United States (this is a travel-based role!) - Current Surgical Tech certification (CST or NCCT) - 3+ years of experience teaching Surgical Technology in a lab or school setting - Hands-on experience as a Surgical Technologist in the operating room - Strong written and oral communication skills - The ability to be hands-on, resourceful, and willing to do what it takes to get the job done and thrive in fast-paced, evolving environments - Current BLS certification Bonus points if you have: - CRCST certification and/or experience teaching Sterile Processing - Bachelor’s degree in a related healthcare field - Experience with competency-based education models - Experience supporting diverse and underserved student populations - Familiarity with NCCT certification requirements - Previous experience with online or hybrid education programs Interview Process: - Intro Call with Talent Team - Interview with Program Director - Case Study Assignment - Panel Interview + Live Teaching Demo - Final Interviews Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: San Francisco Workplace: OnSite fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: fal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models. What you’ll do: - Design, build, and maintain the ML models and the ML infrastructure behind fal's safety and abuse-detection systems, end-to-end - Improve the accuracy, coverage, latency, and scalability of detection pipelines across the platform - Partner with Security and Infrastructure Engineering to integrate safety systems deeply into core platform infrastructure - Evaluate and integrate third-party safety tooling and vendor models where it makes sense - Stay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns into fal's stack - You will have access to our massive GPU cluster for inference and evaluation - Some core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of safety Qualifications/Nice to have: - Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems — required - Strong end-to-end engineering fundamentals — comfortable owning both the ML and the infrastructure that serves it in production - Comfortable owning ambiguous, high-stakes problems with limited precedent - Based in San Francisco; fal works in-person, 5 days a week What we offer at fal: - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - We offer relocation assistance to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsite Comp: - 180k - 250k + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Remote (New York, New York, United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role Join our rapidly growing Sales team where you will play an important role at one of the fastest growing companies in the Developer Security space. As an Enterprise Account Executive, you will be responsible for helping some of our largest clients and prospects to evaluate, purchase, and expand their usage of Tailscale as a solution to their company’s evolving networking, security, and compliance objectives. You will partner closely with the Solutions Engineering team, as well as collaborate with the Customer Success, Support, Marketing, and Product teams. We're an energetic company with a wide variety of backgrounds. We coach each other, share feedback, and collaborate to maximize our performance and earning potential, all the while aligning with our customers' needs. We are one of the fastest-growing VC-backed Dev Tool companies and are looking for folks to help us get to our next stage of growth. You will join a team helping define the future of secure connectivity and modern networking. Tailscale's product-led growth has created significant enterprise demand from organizations looking to simplify network access, strengthen security, and accelerate developer productivity. As an Enterprise Account Executive, you will work with some of the world's most sophisticated technology organizations to help them modernize legacy networking and security infrastructure. We are looking for enterprise sellers who know how to create opportunities, not just manage them. You are comfortable building executive relationships, navigating complex organizations, and earning credibility with both technical and business stakeholders. You understand how to translate technical capabilities into measurable business outcomes and can lead customers through transformational technology decisions. Key Responsibilities Own and grow a territory of enterprise organizations, driving both net-new customer acquisition and expansion opportunities Proactively self-source pipeline through outbound prospecting activities, including cold outreach, strategic account targeting and networking. Take ownership of the full sales cycle from lead to close Develop strategic account plans that identify key stakeholders, organizational priorities, technical initiatives, and expansion paths across the account Build relationships with Security, Infrastructure, Engineering, Compliance, and Executive stakeholders to drive alignment and consensus throughout the buying process Navigate complex enterprise sales cycles involving multiple decision-makers, procurement processes, security reviews, and legal negotiations Position Tailscale as a strategic platform for secure connectivity and modern network access by helping customers understand both the technical and business value of the solution Lead cross-functional account teams consisting of Sales Engineering, Customer Success, Product, Marketing, and Support to deliver exceptional customer outcomes Drive adoption beyond the initial deployment by identifying opportunities for broader organizational usage and long-term account growth What We Are Looking For 5+ years of closing experience in a sales role Demonstrated success selling infrastructure, networking, cybersecurity, cloud, developer tools, or other highly technical software solutions Proven track record of consistently meeting or exceeding quota in an enterprise sales environment Experience managing complex, multi-stakeholder sales processes involving technical and executive buyers Ability to engage credibly with both technical practitioners and senior business leaders Experience collaborating and working with a Sales Engineer on sales cycles Strong account planning, discovery, and business case development skills Experience closing six-figure enterprise opportunities is strongly preferred Experience using Gong, or similar, to collaborate internally and manage pipeline Location: Remote, but based in or near New York City as it supports customers and requires occasional travel/commute within the assigned region. What Success Looks Like Consistently exceed quota through a combination of self-generated pipeline, new customer acquisition, and account expansion Establish trusted advisor relationships with Security, Infrastructure, and Engineering leaders Successfully drive adoption from initial deployment to broader organizational standardization Build a predictable pipeline through disciplined prospecting and strategic account development As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $250,000 — $300,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Lexington Workplace: OnSite Job Title: Independent BCBA (1099), Full Admin Support & Autonomy, South Carolina Location: Onsite Job Type: 1099 Independent Contractor Earning Potential: up to $125,000+ per year (Based on caseload volume) The Freedom to Focus on Clinical Care (We Handle the Rest) Are you a BCBA tired of burnout, impossible caseloads, and drowning in administrative red tape? At Tellos, we believe that to provide the best clinical outcomes for children, providers need autonomy, support, and a healthy work-life balance. We are looking for Independent Contractor (1099) BCBAs located in South Carolina who want to take control of their career. How It Works Think of this as "plug-and-play" independence. You act as the clinical leader, determining the best course of treatment for your clients. We act as your backend operations team. You Focus On: - Clinical decisions and quality of care. - Determining your own schedule. - Deciding if a case requires in-person support or if telehealth is clinically appropriate. - Taking on as many (or as few) clients as fits your lifestyle. We Handle: - RBT Staffing: We handle the sourcing, vetting, payroll, and retention perks; you make the final decision on who joins your team to ensure the right clinical fit. - The Paperwork: We handle credentialing, authorizations, billing, and claims submissions. - Client Acquisition: We manage the referral pipeline and intake process, connecting you directly with families seeking services so you don’t have to worry about marketing or outreach. Key Responsibilities - Lead Clinically: Conduct robust functional behavior assessments (FBAs) and skill-based assessments to design individualized, evidence-based treatment plans that target meaningful outcomes. - Drive Treatment Fidelity: Provide competency-based supervision and mentorship to RBTs, ensuring protocols are implemented with high fidelity and clinical rigor. - Data-Based Decision Making: Utilize visual data analysis to monitor client progress, modifying instructional protocols and behavior intervention plans (BIPs) in real-time to ensure continuous growth. - Documentation & Medical Necessity: Collaborate with the Tellos admin team to ensure all clinical documentation clearly demonstrates medical necessity, meeting payer standards without compromising clinical depth. - Facilitate Caregiver Partnership: Partner with families through consistent collaboration and parent coaching to ensure skills generalize to the home environment, driving sustainable, long-term outcomes. - Ethical Practice: Uphold the highest standards of professional practice and client dignity in accordance with the BACB Ethics Code for Behavior Analysts. Why Partner with Tellos? - Total Caseload Control: You decide your volume. Whether you want a full-time caseload or just a few clients to supplement your income, you are in the driver's seat. - Telehealth Flexibility: We support a telehealth model where clinically appropriate, giving you the ability to work from home as you see fit (up to 25% of hours as approved by insurance) - No Admin Burnout: Being independent doesn’t mean you have to handle insurance on your own. We have a dedicated team to handle the billing, denials, and authorization processes. - Recruitment Support: We manage the sourcing and first-round interviews so you don’t have to sift through resumes. We present you with vetted candidates for your final approval and provide the backend support systems you need to build a stable team that sticks with you. Qualifications - Active Board Certified Behavior Analyst (BCBA) certification. - Residence in South Carolina required - Master’s Degree in Applied Behavior Analysis, Psychology, or related field. - Strong desire for autonomy and the discipline to manage an independent schedule. - Comfortable using technology for Telehealth supervision and digital data collection. Ready to define your own practice? Step 1: Chat with us about your clinical philosophy and income goals. Step 2: We handle the credentialing and setup to get you ready. Step 3: We match you with clients and RBTs based on your preferences. Step 4: You start working on your own terms. Apply today to reclaim your time and your passion for ABA. We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Los Angeles, USA Riot Engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As a Senior Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team objectives. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. As a Senior Software Engineer on the Riot Client team, you will deliver high-quality technical solutions that improve the player experience across Riot’s out-of-game ecosystem. Riot Client is the fast-evolving desktop software gateway for millions of players to play, discover, and install Riot games, and every single desktop player goes through the Riot Client on their way to experience one of Riot’s games, ensuring their needs, whether they be providing more ways to discover games, engage with Riot’s culture & community, or getting into their game as fast as possible, is the primary goal of the Riot Client team. You’ll contribute hands-on across the software development lifecycle, partnering closely with engineers, product managers, designers, and other cross-functional teammates to build reliable, scalable, and maintainable client capabilities. You will help shape technical direction within your area of ownership, make sound implementation and design decisions, and collaborate with peers across Riot to support game distribution, content, social features, and developer productivity. Through strong engineering practices, thoughtful code reviews, and mentorship of other engineers, your work will help advance the next generation of Riot Client experiences for players and developers. Responsibilities: Develop and maintain desktop application features focusing on web tech, with the ability to integrate with and contribute C++ components Deliver high-quality, scalable, and reliable engineering solutions within your area of ownership, through hands-on contribution and technical design Contribute to technical planning and design discussions, helping evaluate tradeoffs between long-term sustainability and near-term delivery needs Build and apply a strong understanding of the Riot Client’s dependency landscape, partnering with teams to align on technical solutions Work closely with cross-functional partners, including product, production, QA, design, and data insight Level up other engineers through mentorship and technical guidance Required Qualifications: 6+ years of industry experience Bachelor's degree in Computer Science or a related field, or comparable experience in software development Expertise in web technologies (React.js, Node.js) with application level complexity Experience in C++ Experience working with complex code bases Experience of cross-functional collaboration with product, design, and QA Desired Qualifications: Experience of working with desktop applications Experience of working with Electron Experience with build pipelines For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for an experienced leader to own data center IT operations across APAC, covering both Nebius-owned and colocation sites. You will lead operations for GPU and high-performance computing (HPC) infrastructure, including high-density and liquid-cooled platforms. In this role, you will build and scale the regional operations organization and own the full operational lifecycle: preparing new sites for service, delivering reliable 24/7 support, managing hardware assets and returns, and overseeing changes to infrastructure in production. Your responsibilities will include: Full-stack IT operations Define and run the support model per site: 24/7 L1/L2 on-site, L3, on-call/duty coverage; final escalation point for critical incidents; RCAs and preventive actions. Own post-acceptance change management: upgrades, migrations, maintenance windows, decommissioning. Ensure availability and performance of compute, storage and network infrastructure in operation. New sites into operations Own operational readiness for every new DC : staffing, access, tooling, monitoring, ticketing, spares, documentation. Define acceptance criteria and handover from the Project team; sign off on acceptance into operations. RMA , asset & spare management Own the global asset lifecycle: intake, CMDB accuracy, audits, decommissioning and e-waste. Own RMA end to end: OEM channels, warranty terms, partner/franchise RMA integrations. Set spare-zone standards and stock levels per site; balance spares against failure rates and SLAs. Service governance & vendors Own SLAs and OLAs with platform, storage, network, internal teams. Manage colocation, field-service, outsourcing and OEM relationships: scope, SLAs, performance, disputes. Manage and report operational KPIs, risks and capacity to senior management and colocation tenants. Team, processes & compliance Org design and headcount forecasting from the DC launch pipeline; own the hiring pipeline (JDs, interview loops, recruiters, outsourcing, internships). Own ITDC processes, SOPs/runbooks, documentation and Jira/Confluence standards; competency and training frameworks. Ensure audits readiness, security posture reviews, DC access management and EHS adherence. We expect you to have: 10+ years in data center IT operations including hands-on infrastructure support; 5+ years leading managers across multiple sites or countries. Experience taking new data centers or clusters from build into operations. Deep operational knowledge of RMA , asset management and spare planning at scale. Familiarity with GPU/ HPC infrastructure and its failure modes. Experience owning SLAs/OLAs and RACI between infrastructure teams; strong ITIL / ITSM grounding. Vendor and contract management with colocation providers, field-service vendors and OEMs. Experience building and scaling teams; fluent English; readiness to travel. It Will Be an Added Bonus If You Have Experience with GB200 / GB300 -class liquid-cooled deployments ( DLC , CDU operations). Experience with franchise or outsourced DC operating models. Audits experience; ITIL or PMP certification. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Portugal; Brazil SUMMARY: You will join a cross-functional squad responsible for building and maintaining high-scale, customer-facing services. The role involves contributing to new product features, evolving system architecture, improving code quality, and ensuring operational reliability in a modern, cloud-based environment. The ideal engineer thrives in a collaborative, autonomous culture that values experimentation, continuous learning, and shared ownership. This position plays a key part in shaping technical decisions, supporting platform evolution, and delivering impactful solutions at scale. WHAT WILL YOU BE DOING: You will be joining our engineering team and will be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following: Feature Delivery & Collaboration Participation in the design and delivery of new product features in collaboration with product, design, and engineering teams. Exploration of feasibility options and contribution to customer-focused engineering decisions. Commitment to clear goals, delivery expectations, and shared team objectives. Clear and responsible communication within the squad to support alignment and transparency. Communicating your needs clearly and responsibly. Architecture & Technical Decision-Making Contribution to system architecture discussions and evolution of technical design within the squad. Application of OOP, SOLID principles, and clean coding practices to build maintainable Ruby services. Participation in establishing engineering patterns, standards, and long-term architectural improvements. Support in building highly available, resilient, and scalable systems. Code Quality & Testing Development of high-quality Ruby code that is maintainable, readable, and structured for long-term sustainability. Adoption of strong testing practices using RSpec or Minitest to ensure robust test coverage. Improvement of existing systems to enhance reliability, modularity, and testability. Contribution to a culture of automated testing and continuous quality improvements. Operational Excellence Support in building and maintaining services operating under significant scale and traffic. Participation in monitoring, troubleshooting, and enhancing system resilience. Contribution to observability practices, operational readiness, and continuous improvement of production systems. Engagement in deployments and incident support as part of the team’s shared operational ownership. WHAT WE ARE LOOKING FOR: Core Technical Skills Strong hands-on experience with Ruby for building production applications. Ability to deliver maintainable, well-structured code aligned with OOP and SOLID principles. Proficiency in automated testing using RSpec or Minitest. Experience working with Git and collaborative development workflows. Backend Engineering Fundamentals Experience building scalable, API-driven backend services. Understanding of concurrency, asynchronous processing, and distributed system interactions. Experience with PostgreSQL, Redis, and MongoDB for data persistence and caching. Ability to design and troubleshoot systems operating under heavy load and high availability requirements. Operational & Performance Awareness Familiarity with diagnosing performance bottlenecks and implementing optimisations. Strong understanding of observability principles, including monitoring, logging, and system health analysis. Experience supporting and iterating on production systems. Communication & Collaboration Strong English communication skills, both written and verbal. Ability to contribute positively to team collaboration, solution discussions, and knowledge sharing. AWESOME BUT NOT REQUIRED: Experience with containers and orchestration (Docker, Kubernetes). Familiarity with Rack, Sinatra, or Rails frameworks. Exposure to EventMachine or event-driven architectures. Experience with ELK, Datadog, or similar observability stacks. Knowledge of AWS services such as ECR, EC2, S3, and RDS. Exposure to CI/CD pipelines, cloud-native practices, or infrastructure tooling. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues, and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Fully remote Ongoing Training & Mentoring The possibility of travelling - ATTENTION!  THIS POSITION IS FOR  PORTUGAL OR BRAZIL-BASED ONLY

Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York (NYC area), NJ, CT, MA About the Role We are seeking an exceptionally accomplished and visionary Majors Account Executive to join our Enterprise/Field Sales team. In this expert-level role, you will be the driving force behind Cloudflare's most strategic customer engagements, leading the charge in securing and expanding critical platform sales within focused accounts. The ideal candidate possesses unparalleled sales leadership, a profound grasp of enterprise architecture across all four pillars (business, data, applications, technology), and the ability to articulate how Cloudflare seamlessly integrates into modern cloud operating models. As a Majors Account Executive, you will demonstrate the highest level of sales proficiency, ensuring highly accurate forecasting, strategic pipeline management, and consistently exceeding attainment targets. You will be a recognized subject matter expert, providing in-depth education to customers and partners alike on Cloudflare’s extensive product ecosystem and its place within the broader security landscape. This role demands the ability to apply executive sponsorship programs, actively engaging with CIOs, CISOs, and CTOs, and leading virtual teams that include VPs and SVPs to navigate and close complex, transformative opportunities. You will shape our customers' digital transformation journeys, identifying opportunities within broader market trends and positioning Cloudflare as their indispensable strategic partner. What You'll Do Executive-Level Strategic Revenue Leadership: Own and execute the most critical territory and account plans, consistently exceeding multi-million dollar sales targets and annual quotas by architecting and closing large-scale platform sales within highly focused, strategic accounts. Precision Forecasting & Pipeline Mastery: Lead with unparalleled accuracy in forecasting and demonstrate complete mastery of proactive pipeline management. Provide visionary insights and strategic guidance that shapes the direction of the sales organization. Enterprise Architecture & Business Model Expertise: Exhibit an expert-level understanding of customer Enterprise Architecture across all four pillars (business, data, applications, technology), seamlessly mapping these to customer business models. Articulate precisely how Cloudflare fits into and optimizes a modern cloud operating model. C-Suite Engagement & Executive Sponsorship: Lead and orchestrate complex customer engagements across numerous business units simultaneously, connecting the dots to solidify platform sales. Actively apply and manage executive sponsorship programs, ensuring direct engagement and influence with CIOs, CISOs, and CTOs. Cross-Functional Leadership & Influence: Drive and lead highly complex virtual teams that include Product Managers, VPs, and SVPs to manage and close the most strategic customer opportunities. Proactively identify and resolve organizational roadblocks, leveraging company-wide learnings to ensure the most efficient delivery. Digital Transformation Visionary: Serve as Cloudflare's leading voice on digital transformation, engaging deeply with customers on their key drivers for change (e.g., new offering development, customer capabilities). Expertly spot and seize opportunities for Cloudflare within broader market trends that influence these critical decisions. Organizational Communication & Feedback: Connect themes from across departments and global locations to craft critical, crystal-clear messaging. Review performance and output across multiple organizations, providing feedback and solutions to enhance the entire organization’s performance. Deliver challenging news within a constructive learning context. Long-Term Strategic Impact: Consistently articulate how decisions will impact Cloudflare years into the future, willing to trade short-term gains for significant long-term organizational benefit. Build trust by openly sharing learnings and modeling Cloudflare's highest expectations and standards. Define Goals & Drive Efficiency: Play a key role in defining team goals and metrics each quarter, rigorously reviewing results. Deeply understand interdependencies within and across teams, proactively addressing roadblocks to achieve results with maximum efficiency. Company-Wide Innovation & Problem Solving: Consistently and proactively address internal and external needs, driving urgency across the department and company to offer solutions that optimize efficiency. Constructively and humbly challenge the status quo to drive positive change and innovation company-wide, leveraging new insights for continuous iteration. Inclusive Leadership & Future-Proofing: Serve as an exemplary leader, consistently bringing in diverse perspectives to not only address today's needs but also anticipate and solve future problems, contributing significantly to the greater good of Cloudflare. Examples of Desirable Skills, Knowledge, and Experience 10+ years of expert-level experience selling complex, multi-million dollar technology solutions in a B2B enterprise model, with an irrefutable track record of consistently exceeding quota and closing transformative platform deals. Unparalleled in-depth knowledge of Cloudflare's entire product suite and the broader security landscape, coupled with the ability to educate both customers and partners at an expert level. Mastery in understanding Customer Enterprise Architecture (Business, Data, Applications, Technology) and adept at mapping Cloudflare solutions to complex business models and modern cloud operating environments. Proven ability to apply and manage executive sponsorship programs, with extensive experience engaging directly and influencing CIOs, CISOs, and CTOs. Demonstrated success in leading and orchestrating virtual teams comprising VPs and SVPs to manage and close the most strategic customer opportunities. Recognized authority on digital transformation, with a deep understanding of market trends and the ability to strategically position Cloudflare as a critical partner in driving customer innovation. Exceptional strategic communication, negotiation, and presentation skills, capable of delivering impactful messaging to the highest levels of customer and internal leadership. A visionary leader who consistently makes decisions for the long-term benefit of Cloudflare, even if it means trading off short-term gains. Proven ability to define team goals and metrics, drive cross-departmental efficiency, and proactively address roadblocks for optimal results. A humble yet assertive leader who consistently challenges the status quo and drives positive, innovative change across the organization. Expert-level proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC, etc.). Bachelor's degree required, with an MBA or advanced technical degree highly preferred. Ability to travel extensively as required to engage with key customers, executive leadership, and internal teams. Compensation Compensation may be adjusted depending on work location. For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $350,000- $380,000 (base/variable) This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE RESEARCH ENGINEERING TEAM   The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.   As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:   - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.     What You Will Do   • Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools. • Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. • Design, implement and benchmark ML algorithms; write clear, efficient code in Python. • Deliver prototypes that become production-grade components for Vibe and our enterprise API.   What We're Looking For   • Master’s or PhD in Computer Science (or equivalent proven track record). • 4 + years working on large-scale ML codebases. • Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). • Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. • Strong software-design instincts: testing, code review, CI/CD. • Self-starter, low-ego, collaborative.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.