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Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Barcelona, Spain; Madrid, Spain; Málaga, Spain; Milan, Italy; Rome, Italy Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: South Africa; Poland; Romania; Portugal; Czechia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Senior Media Buyer with deep expertise in paid advertising and performance marketing. This is a high-impact remote role where you will manage and scale multi-platform campaigns, optimize ad performance, and drive revenue growth. Ideal for candidates experienced in handling large ad budgets and delivering consistent ROI. Key Responsibilities Plan, launch, and manage high-budget paid media campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other platforms Analyze campaign performance and optimize for key metrics such as CPA, ROAS, and conversion rates Conduct audience research, A/B testing, and funnel optimization Collaborate with creative teams to develop high-converting ad creatives and copy Monitor and allocate advertising budgets efficiently to maximize returns Generate performance reports and present insights to stakeholders Stay updated on platform changes, trends, and best practices in digital advertising Requirements 4+ years of experience in media buying or performance marketing Proven track record managing ad budgets of $50,000+/month Strong expertise in Meta Ads Manager and Google Ads Experience with TikTok Ads and other emerging platforms is a plus Proficiency in analytics tools (Google Analytics, Hyros, Triple Whale, etc.) Strong understanding of conversion tracking, attribution models, and funnels Data-driven mindset with excellent analytical and problem-solving skills Experience working with eCommerce or lead generation clients preferred Excellent communication skills and ability to work remotely with global teams Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Political Risk Insurance Projects Director supports a U.S. Government Agency in managing complex international risk mitigation initiatives. This role operates within a specialized function responsible for evaluating, structuring, and underwriting political risk solutions for investments in emerging and developing markets. The Director serves as a senior specialist leading the assessment and execution of highly complex insurance transactions. The position requires deep expertise in political risk analysis, underwriting, and international investment environments, as well as the ability to engage with senior stakeholders across public and private sectors. This position is based in Washington, D.C. Responsibilities Evaluates projects proposed by investors and designs the insurance coverage, personally handling unusually complex and significant issues as well as representing the Agency at the highest levels in negotiations with investors and foreign government representatives. Projects include the most complex issues and conditions and require the conduct of sensitive negotiations and original underwriting techniques performed with authoritative technical independence. Reviews formal applications for political risk insurance. Analyzes the nature of investment, equity and loan instruments, project agreements, and related documents. Determines the level of concentration risk in the industry or country. Reviews laws and practices regarding investment and foreign exchange in country of proposed investment, as well as the investment conditions and political climate in order to assess political risk and anticipate and deal with problems that might arise. Reviews and works with other relevant departments to determine appropriateness of foreign government approval of the project and the investment's contribution to economic development in the project host country; the effect on U.S. balance of payments and employment; and the projects' environmental implications. Reviews final insurance applications and, when needed, requests supporting information and documentation. Advises investors on whether the proposed project is insurable. Determines whether there are problems or restrictions that would make the project, investment, and/or investor ineligible and suggests, if possible, reshaping to achieve eligibility. Performs risk evaluation and proposes pricing. Develops concepts and innovative approaches to provide and support political risk coverage. Assists in maintaining and expanding the business pipeline for risk mitigation services, working with U.S. and foreign private sector and government officials, as well as with representatives of multilateral and bilateral development finance institutions. Develops and sustains relationships with corporate, multilateral, and bilateral representatives to ensure early identification of future projects with potential for enhanced participation. Negotiates and confers with senior officials and/or counsel of the investors regarding character of investment, the appropriate insurance coverage(s), and provisions of the contract. Provides suggested language for adaptations, changes in, or addenda to the standard contract and determines need for and obtains advice or clearance from legal counsel and other relevant parties. Prepares or oversees the preparation of the insurance contract in final form, ensuring that it correctly reflects the investor's application and supplementary data, and after appropriate clearance, transmits it to the investor for execution and payment of fees. Prepares staff memoranda and papers for presentation to approval committees, management, and senior leadership; coordinates presentations of projects for approval, as needed. Work may include overseas travel to conduct due diligence about the current political situation in a country where issues are affecting the client's operations, conducting special negotiations, and working with local U.S. Embassy staff to deal with specific country issues. Performs other related duties as assigned Qualifications Minimum of a master’s degree in international business/studies, international relations, finance, business, economics, political science, or a related field. Minimum of 8 years of experience working at a political risk insurance firm, commercial bank, consulting firm, investment bank, international project development company, international financial institution, or multilateral organization within the last 10 years. Experience independently completing the full range of origination of international political risk insurance contracts. Experience conducting political risk analysis of investments in developing countries. Experience identifying issues in at least two of the following three areas: political, economic or credit risks (e.g. due diligence, risk exposure, detailed credit analysis, market analysis, private investments). Experience analyzing the underlying causes of changes in investment conditions and political climate in a developing country. Experience guiding potential clients through the eligibility requirements, application process, investment policies requirement and approval process at a political risk insurance company. Experience identifying pertinent host country political risks related to projects and applying these analyses to determine what risks should be covered and excluded in a political risk insurance contract. Experience developing networks and customer contacts to identify new business opportunities. Excellent English speaking, reading, and writing skills. Demonstrated ability to produce written materials that are clear and succinct. Must be a U.S. Citizen or Foreign National with the ability to obtain and maintain a Public Trust or higher-level clearance. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $150,000 — $175,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: Sydney Workplace: Hybrid ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world. Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns. On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value. Responsibilities: 1. Ship with confidence Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when. Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose. Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed. Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them. 2. Close the loop with users Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters. Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short. Make sure the field, Support, and Research hear back about what happened with what they sent. 3. Run the team's operating system Set the team's pace: planning, business and execution reviews, goal tracking, offsites. Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable. Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists. Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles. 4. Build with Claude Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job. Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch. You may be a good fit if you have: Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan. Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow. Have worked embedded with product leadership and can move a team without formal authority. Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics. Have direct experience managing evals, refining system prompts, and adapting harnesses to new models. Have direct experience working with Cloud providers in partnership or GTM capacity Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards. Bonus: Program managed model launches or model quality at an application-layer AI product. Run early access, beta, or design partner programs. Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company. 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: $260,000 — $325,000 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: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency : Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design : Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering : Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency : Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth : Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design : Experience designing clean, well-documented REST/gRPC APIs Incident response mindset : Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness : Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery : Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing : Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices : Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility : Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management : Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming : Experience with Kafka, Redis, or similar event-driven architectures Data orchestration : Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness : Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly. The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering. In this role, you will: Own the weekly company metrics update and forum: shape the story the numbers tell, evolve the structure and content as fast as the business changes Define the metrics that matter: help establish the headline KPIs leadership uses to track the business, and the driver views beneath them. Surface macro trends: explain what is driving growth across products, customers, and channels, and flag leading indicators early Lead deep dives on executive questions: take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer Track performance against plan: explain where actuals differ from forecast and why it matters Partner across teams: work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers. Raise the bar: land narratives in executive forums and up-level the team’s finance analytics practice by example You might be a good fit if you: Have run an executive metrics forum: you've owned a recurring business review for senior leadership, including its structure, content and discussion. Land narratives with executives: your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving Thrive amid shifting priorities: you juggle multiple fast-moving work streams and stay effective when the plan changes weekly Work fluently with modern tooling: you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse Strong candidates may also have: Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace) Ownership of a company or executive business review Experience designing evals or benchmarks for AI models or products Fluency in the LLM model and product landscape Experience with a semantic or metrics layer Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale. As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up. This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one. Responsibilities Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next Contribute to the playbook, proof points, and motion that this team is building from the ground up You may be a good fit if you have 3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts Experience running enterprise sales cycles involving technical evaluations, security review, and procurement Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise Strong commercial instincts and the ability to qualify quickly and advance rigorously Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial What will make you stand out Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it Background in developer tools, API, or AI/ML sales into technical buyers 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: $290,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together. You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective. You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.   RESPONSIBILITIES - Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems. - Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals. - Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate. - Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows. - GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off. - Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency. QUALIFICATIONS - Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code. - GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs. - Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously. - 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team DRW C/Options Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript) Provide on-call support as needed Qualifications: Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1