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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Communications Manager at Anthropic, you will bring The Anthropic Institute's research to the world. The Institute works to advance the public conversation around AI, publishing findings so that policymakers, researchers, journalists, and the public can reckon with what's here and prepare for what's ahead. You will provide dedicated communications coverage for the Institute's two largest and fastest growing research engines: 1) Economic Research, which tracks AI's effect on jobs, wages, and the broader economy through the Anthropic Economic Index and labor market analysis, and 2) Societal Impacts, which studies how Claude is actually used, from workplace impacts and personal guidance to Claude's values and frontier agent use. You’ll also support TAI’s other teams, including Special Projects and the Frontier Red Team. In this role, you'll drive research tracking, publication strategy, and reactive press across both portfolios, including launches like quarterly Economic Index releases and the rollout of the new Economic Research Fund. You'll partner closely with the Economic Research and Societal Impacts research teams day to day, work alongside the Deputy Communications Lead, and coordinate with Anthropic's broader communications, policy, and editorial teams to keep messaging aligned while maintaining the Institute's distinct voice. Responsibilities Drive day-to-day communications for the Economic Research and Societal Impacts teams, including research tracking, publication planning, and reactive press Lead communications planning and launch execution for the Anthropic Economic Index, recurring labor market analyses, and new research initiatives like the Economic Research Fund Develop narratives that translate technical and quantitative research for audiences well beyond specialist communities Build and maintain relationships with reporters across economics, labor, technology, research, and general interest outlets, along with academic economists and think tank researchers Draft communications plans, briefing documents, talking points, press materials, and social content Manage reactive press on sensitive findings in partnership with the Communications Lead, Deputy Communications Lead, and policy team Partner with policy and editorial teams on publishing strategy, ensuring research reaches the largest appropriate audience through the Anthropic blog, the Institute's site, microsites, interactive experiences, video, and audio Present researchers for media interviews, podcast appearances, and speaking engagements, and prepare them to succeed in those moments Partner with Institute communications leadership on major announcements and milestone engagements Build repeatable rollout playbooks and processes that allow a lean team to cover a growing research portfolio Track both teams' research agendas to shape findings early and plan publications months in advance You may be a good fit if you Have deep communications experience, with significant depth in research, science, economics, or policy communications Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities Are comfortable reading and interrogating quantitative research, and can engage substantively and credibly with the researchers who produce it Have strong, active media relationships Can move between long-lead strategic messaging and fast-turnaround tactical execution without losing quality, from planning a launch months out to handling an inbound press inquiry the same day Have led multi-channel rollouts spanning strategy, digital, press, and cross-functional approvals Are intellectually curious about AI's impact on the economy, society, and the future of work, and can embrace the unexpected in a field where the unusual is the norm Thrive in fast-moving environments where priorities shift and ambiguity is common Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience at a research institution, think tank, economics publication, or policy organization communicating quantitative findings Familiarity with the AI policy landscape and the debates around AI's labor market and societal impacts Experience standing up communications processes or playbooks on a small, growing team A background working directly with economists, social scientists, or academic researchers on publication strategy Experience managing sensitive or high-scrutiny press moments, including deciding what to say, when, and how Enthusiasm for using AI tools in your own workflows to multiply what a small team can do 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: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.   The difference you’ll make: You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes. The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively.   Your day-to-day: - Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management. - Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. - Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. - Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues. - Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations. - Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices.   Your skillset: - SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support. - Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable. - API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems. - Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices.   The interview journey: - Intro with a member of the Talent Acquisition team - 30 mins - 1st stage video interview with Lead Applied AI Engineer - 1 hour - Applied AI and SaaS administration task - Final stage with Director of Applied AI and senior stakeholders - 1 hour   Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion: At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Bulgaria; Ukraine; Poland; Hungary; Czechia; Ireland Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 The role ClickUp's Cloud Platform team builds scalable, secure, and cost-efficient AWS infrastructure, with a heavy focus on Amazon EKS, that stays ahead of product and enterprise growth. Our goal: product velocity is never blocked by platform constraints. As a Senior Software Engineer, you leverage AI to design, build, and operate the compute, networking, and infrastructure-as-code foundation that powers ClickUp for millions of users.   What you'll do - Build and scale AWS infrastructure and reusable platform abstractions that simplify development, with a strong focus on Amazon EKS, networking, and self-hosted services. - Identify improvement opportunities and emerging risks, and propose novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers. - Automate shard buildouts and implement Terraform guardrails and hardened ingress that reduce incidents. - Scale systems for multi-shard, multi-region growth while meeting compliance attestations (SOC 2, ISO 27001, etc), disaster recovery, and enterprise security requirements. - Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering. - Own the reliability of Cloud Platform itself: on-call, incident response, postmortems, runbooks, and prevention. - Use AI tooling daily to accelerate development, testing, IaC, operations, and investigations, and help the team raise its AI leverage.   What we're looking for - 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations. - Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues, ideally Amazon EKS at fleet scale. - Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS. Bedrock is a plus. - Multi-account AWS (20+ accounts) experience, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing. - Infrastructure-as-code at scale with Terraform (CDK experience is a plus). - Fluent coding in at least one language (Go, Python, or TypeScript/Node.js preferred). - Experience with hybrid monolith/microservices architectures. - Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey. - Track record of improving infrastructure reliability and efficiency and implementing security guardrails. - Strong production debugging across application and infrastructure boundaries, clear written communication, and effective cross-functional collaboration. - Daily AI user with concrete examples of how AI supercharged your engineering workflow. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. ● Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision.

Location: San Francisco; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We’re hiring a backend/distributed systems engineer to join our Product Platform in following areas: - Commercialization, billing, and partnerships - Developer productivity and agentic development - Observability platform Please come join our growing team to work on exciting problems. A few sample projects and responsibilities will include - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build world class commercialization and billing systems - Work on some of the most strategic and exciting partnership integrations - Develop internal infrastructure and tooling that improves developer velocity, CI/CD, and deployment safety. - Own the internal AI agent platform end to end — architecture, build, rollout, operation, measurement. - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Improve platform reliability through better alerting, incident tooling, and production debugging workflows. - Lead technical design for cross-team projects and make sound tradeoffs between speed, quality, and long-term maintainability. - Partner with infrastructure, model performance, and product teams to understand what they need to see and ship faster. - Raise the engineering bar through code review, mentorship, and clear technical writing. REQUIREMENTS - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 5+ years of relevant industry experience, with a focus on building scalable backend systems and platforms. - Experience building or operating observability systems (logging, metrics, tracing) or internal infrastructure at scale. - Proficiency in Python, Go, Rust, or a similar backend language. - A firm grasp of quality and engineering principles: you understand both the what and the why. - Strong systems-level thinking: you understand how the components of a distributed system interact and how data flows through each part. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Excellent written and verbal communication skills. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Colorado Springs, Colorado, United States About the Role iCapital is seeking an Application Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems. Responsibilities Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company. Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform. Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions. Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability. Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture. Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance. Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency. Participate in production support rotations and provide timely resolution of production issues impacting customers. Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives. Collaborate with distributed engineering teams across North America and India to ensure architectural consistency and delivery alignment. Mentor engineers in .NET, Azure, DevOps, cloud-native design patterns, and software architecture principles. Identify opportunities to improve platform observability, performance, security, reliability, and development efficiency. Qualifications 7+ years of experience in software engineering, application architecture, or solution architecture roles Bachelor's degree in computer science, software engineering, or a related technical discipline Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies Strong experience architecting cloud-native solutions within Microsoft Azure environments Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures Strong understanding of software design patterns, architecture frameworks, and engineering best practices Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions Proven ability to develop technical roadmaps and lead large-scale modernization efforts Experience participating in production support and incident management processes Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices Strong communication and stakeholder management skills with the ability to influence technical and business leaders Experience working in Agile software development environments and supporting Scrum teams Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms Experience supporting customer-facing enterprise SaaS products Azure certifications or demonstrated expertise in Azure architecture and cloud engineering Experience leading geographically distributed engineering organizations Benefits The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a .NET Application/Solutions Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems. Responsibilities Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company. Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform. Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions. Champion AI-first development across the engineering org using Copilot, Claude, Cursor and other tools Drive and build agentic customer facing applications providing real-time recommendations, decision support, and interactive help, using Azure Foundry, Open AI and other agentic development platforms.  You are familiar with orchestration, RAG, retrieval grounding, MCP server design, etc. Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability. Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture. Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance. Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency. Participate in production support rotations and provide timely resolution of production issues impacting customers. Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives. Qualifications 7+ years of experience in software engineering, application architecture, or solution architecture roles Bachelor's degree in computer science, software engineering, or a related technical discipline Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies Strong experience architecting cloud-native solutions within Microsoft Azure environments Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures Strong understanding of software design patterns, architecture frameworks, and engineering best practices Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions Proven ability to develop technical roadmaps and lead large-scale modernization efforts Experience participating in production support and incident management processes Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices Strong communication and stakeholder management skills with the ability to influence technical and business leaders Experience working in Agile software development environments and supporting Scrum teams Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms Experience supporting customer-facing enterprise SaaS products Azure certifications or demonstrated expertise in Azure architecture and cloud engineering Experience leading geographically distributed engineering organizations Benefits The base salary range for this role is $110,000 to $135,000 USD.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use. Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds. As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use. You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten. WHAT YOU'LL BUILD - Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting. - Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure. - Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing. - Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time. WHAT YOU'LL OWN - Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation. - Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions. - Write substantial production code and own the systems you build. - Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities. - Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs. - Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments. - Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling. - Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow. REQUIREMENTS - Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale. - A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself. - Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on. - Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision. - Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries. NICE TO HAVE - Product integrations with cloud providers, developer platforms, or other infrastructure companies. - Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties. - Model serving or other artificial intelligence (AI) infrastructure used in production. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure. As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience. RESPONSIBILITIES - Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations. - Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams. - Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting). - Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth. - Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks. - Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity. - Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Experience with billing systems or building internal tools - Deep knowledge of the web stack & databases - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re building Intercom’s Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Intercom’s suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably. If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role. What will I be doing? Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support. Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints. Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed. Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion. Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training. Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like. What skills do I need? 2–4+ years in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement. Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them. Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources. Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders). Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results. Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them. Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders. Bonus skills & attributes Interest in consumption or usage-based SaaS models. Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools. Experience in operations, scaling CS / onboarding / customer education / digital engagement programs. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Development Engineer in Test II Role Overview We are seeking a Software Development Engineer in Test II (SDET II) to join our Video Codec Quality Engineering team, responsible for validating the software and hardware components of the PlayStation SDK's video codec stack. In this role, you will design, build, and maintain automated test frameworks and CI pipelines that ensure the reliability, performance, and correctness of codec technologies across PlayStation platforms. You'll work closely with codec developers and QE peers to catch regressions early, expand automated coverage, and help ship high-quality video encoding/decoding software and hardware to millions of PlayStation users. Responsibilities Design, develop, and maintain automated test suites for PlayStation SDK video codec software and hardware components Build and maintain CI/CD pipelines using Jenkins to support continuous testing, nightly regression runs, and release validation Develop and extend API-level test automation to validate codec SDK interfaces, functionality, and performance Write robust, maintainable test code in C++ and Python to cover functional, regression, performance, and stress testing scenarios Investigate test failures, triage bugs, and work with development teams to drive issues to resolution Collaborate with codec developer teams to understand new features and translate requirements into test plans and automated coverage Monitor test results and CI dashboards, proactively flagging quality risks and coverage gaps Contribute to test infrastructure improvements, including tooling, reporting, and scalability of the automation framework Document test plans, procedures, and known issues to support team knowledge sharing Skills and Qualifications Required: Proven experience building and maintaining CI/CD pipelines with Jenkins 3+ years of experience in software development in test, QA automation, or a related engineering role Strong hands-on coding experience in C++ and Python Experience designing and implementing API test automation frameworks Solid understanding of software testing methodologies (functional, regression, integration, performance) Ability to debug complex issues across software and hardware layers Strong collaboration and communication skills, with experience working cross-functionally with development teams Nice to Have: Experience testing or working with video codec technologies (e.g., H.264, H.265/HEVC, AV1) Familiarity with AI agents or applying AI/LLM-based tools to test automation and workflows Experience with GTest or similar C++ test frameworks (e.g., Catch2, Google Mock) Experience testing embedded systems, SDKs, or console/hardware platforms Familiarity with performance benchmarking and profiling tools Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Budapest, Hungary Workplace: remote We're Novakid, the next-generation early English learning environment that allows kids around the world to learn English efficiently, through play and fully remote practice with certified professional  teachers. Think cutting edge technology like AI-powered games and training apps that promote English speaking and comprehension based on the use of authentic content in English language. Think certified professionals with years and decades of expertise in children's psychology and learning methods. “Our Vision is to change the way ESL children learn English by making it more engaging, elective, fun, and accessible. The ability to master the English language from an early age is critical to achieving a path of greater success and fulfillment, socially, emotionally, academically and professionally.” – Max Azarov, Founder About the Role Novakid is investing heavily in its brand, and we want films that move people. We’re looking for an AI Film Director to create brand films with a movie-level finish, using the latest generative AI tools. You’ll take each film from brief to final master: from taking the brief to storyboard, AI generation, edit, colour and finishing. You’ll work with our sound engineer on music and sound. Our video production team covers Novakid’s day-to-day content; your focus is our hero brand films, made for families around the globe (motion graphics and 3D/compositing chops are a real plus). This is a full-time, hands-on role in the Creative team, reporting to our Head of Creative. Key Responsibilities Direct and deliver cinematic brand films from brief to final master Turn briefs from the Head of Creative and Brand Director into emotional, story-driven concepts that stay true to Novakid’s brand voice and visual identity Create and own Novakid’s AI film style guide (characters, worlds, look and feel) so characters and style stay consistent from film to film Refine AI output by hand (retouching, compositing, redrawing, colour grading) until every frame has a movie-level finish Work with our sound engineer on music, sound design and voice-over, including localized versions for our key markets Plan each film’s schedule and budget (tools, generation credits, freelancers when needed) and deliver on time Keep up with AI film tools and bring in new techniques that raise quality or speed Follow responsible AI practices with our Legal team: clear AI labelling, consent for any real person’s likeness or voice, and commercial rights to everything we publish Strong design background alongside video production and AI prompting skills. Can build automated content-production workflows using AI agents, APIs or workflow tools. Own the voice acting and dubbing pipeline: work with an external casting/dubbing agency, or with per-language actor leads who source and manage further talent for their own language, to cast, record and quality-check localized voice content, attending recordings yourself to protect creative and brand quality Explore where AI voice generation fits for the existing video editors on lower-complexity projects, and build a lightweight workflow so they can use it without pulling in the full unit Integrate the AI Video Production Unit into the wider creative organization, with clean handoffs to the video editors team and the Lead Producer so both tracks reinforce each other instead of duplicating work What you’ll have… A portfolio of complete AI films, not just a showreel, with consistent characters and coherent storytelling Proven experience directing cinematic, emotionally resonant brand or narrative films, combining traditional film craft with current, hands-on AI video experience (image-to-video, AI-assisted VFX) Strong visual fundamentals: composition, colour, lighting and storytelling, with a design background and the eye to judge and fix AI output Editing and finishing skills: Premiere Pro or DaVinci Resolve (including colour grading), plus Photoshop, Illustrator and After Effects for fixes and compositing Motion graphics and 3D/compositing skills (e.g. Cinema 4D, Maya, Nuke, After Effects) are a strong plus Experience leading a small technical-creative team (e.g. prompt engineers, a cinematography lead, or similar hybrid creative/technical roles) Familiarity with voice acting and dubbing production, whether managing an external casting agency or per-language talent leads Able to deliver a film a month on your own: organised, reliable on deadlines, and comfortable setting up a process from scratch, since this is a new discipline at Novakid Collaborative: you’ll work closely with Brand, our sound engineer and the video production team Comfortable defining process as you go, this is a new production discipline at Novakid, not an established playbook English fluency; other languages are a real plus given the multi-market, multi-language scope of this role What Success Looks Like (first 6 months) First 3 months Your workflow from brief to final master is set up and documented Version 1 of Novakid’s AI film style guide is in place (characters, look, reference library) 2–3 brand films delivered and approved by the Head of Creative and Brand Director First 6 months Minimum of one film every month, each with a movie-level finish (5–6 films delivered in total) Characters and look stay consistent from film to film The Head of Creative and Brand Director trusts that every film meets Novakid’s creative and brand standards without needing heavy oversight. Every film on time and within budget, with what we learn from each film’s performance feeding into the next We Offer Make an impact: Improve the lives of children around the world. Grow with us: Opportunities for professional development and career advancement. Thrive in a collaborative culture: Join a diverse and supportive team that values creativity and innovation. Flexible work environment: Enjoy the freedom to work remotely.

Location: Office Based - London, UK This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: Office Based in London, England. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. On-Site Technical Leadership: Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.