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Location: Remote (US) Senior Actuarial Analyst DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Actuarial Director. You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance You’ll have completed a quarterly rate indication and presented your recommendation to key stakeholders You’ll identify areas of improvement in our systems and processes By 6 months... You’ll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business You’ll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation You’ll have analyzed customer acquisition and retention data to improve At-Bay’s ability to understand the economics of the business You’ll help coach team members and key to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership You’ve worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems You’ve developed tools to automate existing processes and/or improve visibility into the performance of the products You’ve analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures You’ve passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R Our estimated base pay range for this role is $120,000-135,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent. #LI-DNI #LI-LM1

Location: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring for our Cloud Alliances Business Development Lead to coordinate our ‘go-to-market’ with tier 1 Cloud Partners. We develop joint product roadmaps, drive delivery, and formulate go-to-market plans, content and processes, enabling differentiated offerings and robust product life-cycle support anchored to best-in-class Canonical products. This role supports the interaction of Canonical’s sales, marketing and alliances teams with counterparts at the cloud to jointly service customers and prospects. This role is responsible for quarterly and yearly public cloud derived revenue budget forecasts. The successful candidate is someone who is passionate about tech and driving revenue growth through collaboration. If you are data-driven and skilled at navigating complex new technical challenges, learn quickly, and ready to architect strategies across global teams, this challenging role is for you. Location: This role will be based remotely in the Americas region. The role entails Collaborating with product, engineering, alliance and marketing teams at a cloud partner to align on open-source strategies. Capturing partner requirements, evaluating gaps, and identifying Canonical opportunities. Coordinating with marketing and product teams on messaging, content creation, and launch plans. Creating partner- and customer-facing materials like reference architectures, joint blueprints, webinars, presentations, videos, and white papers. Driving Ubuntu adoption within targeted alliance accounts, advocating its benefits to stakeholders and working with partners on enablement training for their development, delivery, support and commercial teams. Influencing Cloud customers to build with Canonical technology. Up to 25% travel, including internationally, for internal conferences and to drive partnerships in person. What we are looking for in you Exceptional academic track record from both high school and university or a compelling narrative about your alternative chosen path. Bachelor's degree in science, technology and/or engineering. Experience in software development and system architecture. Customer-facing experience in software engineering, product management, business development, technology strategy or similar functions. Excellent communication skills across all levels of stakeholders - individual contributors to the C-suite; ability to grasp complex material and synthesize key points. Ability to think and work at both strategic and tactical levels. Disciplined and self motivated for a remote-first workplace environment. Nice-to-have skills and experience Experience with open source software and open source business models. Team leadership, product management or program management experience. Understanding of marketing and go-to-market strategy. Sector-specific experience in finance, telecommunications, automotive, or public sectors. Working knowledge of independent hardware and software vendor go-to-market motions. Post-graduate degree in science, technology or engineering field. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. 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 Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ 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: Bengaluru, Karnataka, India; India Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role As a Sales Engineer, you will be part of our fast growing Go To Market organization and will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Your work will have a direct impact on our bottom line and customer satisfaction Requirements: Based in Bangalore Proven Sales Engineer experience in cloud, AI, or related tech fields. Exceptional presentation skills for conveying complex ideas in a compelling manner. In-depth knowledge of cloud tech, Kubernetes, and AI/ML concepts. Successful track record in building client relationships and exceeding sales goals. Excellent communication, negotiation, and problem-solving skills. Willingness to travel as needed. Fluency in scripting languages (Python, Bash, Powershell, etc.). Responsibilities : Guide sales teams with technical expertise to ensure clients grasp the value of our products. Conduct captivating product demonstrations, simplifying complex technology for diverse audiences. Customize and deliver persuasive presentations tailored to meet client needs. Evaluate client technical needs, proposing solutions and collaborating with technical teams for customization. Stay ahead of market trends, competitors, and customer needs to keep our solutions relevant and competitive. Represent Cast AI at conferences and trade shows, networking with potential clients and gathering market insights. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote

Location: London, UK 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for a strategic and operationally rigorous Senior Manager, Head of Talent Operations to lead and scale the engine behind our recruiting organization. You will lead a team of 4 Talent Operations professionals and oversee the operational backbone supporting our ~40-person recruiting team, which is growing rapidly in scale and complexity across functions and globally. This role owns and strengthens core recruiting infrastructure — including interview scheduling and operations, headcount governance, tech stack strategy, interviewer enablement, compliance, and candidate experience — ensuring our systems are efficient, scalable, and built for continued growth. This is a highly cross-functional leadership role requiring strong systems thinking and execution rigor. WHAT YOU'LL DO - Talent Operations Leadership - Lead, coach, and develop a team of four Talent Operations professionals. - Drive prioritization, operational rigor, and scalable infrastructure to support a 40+ recruiter organization. - Be hands on where needed to continue to shape and grow this critical function. - Recruiting Technology Strategy & Ownership - Own the full recruiting tech stack (ATS, scheduling tools, sourcing tools, CRM, interview tools, etc.). - Partner with Tech Enablement to drive system implementation, integration, automation, and optimization. - Evaluate and implement new tools as the organization scales. - Oversee and evolve the internal recruiting “help desk” into a scalable, automated support function. - Headcount Planning & Governance - Own execution and operational tracking of the company’s headcount plan in partnership with finance. - Build systems to monitor hiring progress, recruiter capacity, and forecasting. - Interview Operations & Scheduling - Own end-to-end interview operations, including scheduling infrastructure. - Build scalable processes and tooling to support high-volume, complex hiring. - Ensure a seamless and efficient experience for candidates, recruiters, and interviewers. - Programs & Experience (Interviewer Enablement, Referrals, Candidate Experience) - Own and scale core recruiting programs, including interviewer enablement, referrals, and candidate experience, ensuring they drive hiring excellence at scale. - Define success metrics and lead ongoing optimization to improve quality of hire, engagement, and overall recruiting performance. - Compliance & Global Hiring Expansion - Ensure recruiting processes meet compliance requirements across jurisdictions. - Partner with People Ops & Legal to support international hiring expansion. WHAT YOU NEED - 8+ years of relevant operations experience; 3+ years in talent/recruiting operations a plus. - 3+ years of experience managing high-performing teams. - Experience supporting a large, complex recruiting organization (30+ recruiters preferred). - Strong headcount planning, workforce planning, and reporting experience. - Demonstrated experience building scalable processes in high-growth environments. - Strong project management skills with the ability to manage multiple high-impact initiatives simultaneously. - Experience supporting global hiring and multi-jurisdiction compliance. - Data-driven decision maker with strong analytical capabilities. - Exceptional cross-functional communication and stakeholder management skills. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled and proactive Digital Marketing Executive to manage and optimise digital campaigns for multiple clients. You will be responsible for SEO, Google Maps marketing, campaign setup, performance tracking, and improving conversions. This is a hands-on, fully remote role suited for someone with strong technical knowledge in analytics and digital marketing who can work independently and deliver measurable results. Key Responsibilities Plan, execute, and manage multi-channel digital marketing campaigns Lead end-to-end project management for client accounts Develop and implement SEO strategies (on-page, technical, and local SEO) Improve Google Maps rankings and optimise Google Business Profiles Set up tracking systems using Google Analytics and Google Tag Manager Monitor performance metrics and increase conversions through data-driven optimisation Build and manage WordPress websites with a focus on SEO and UX Create and refine digital marketing strategies aligned with client KPIs Use GoHighLevel and Instantly for campaign management and automation Generate performance reports and provide strategic insights to clients Continuously test, optimise, and scale marketing initiatives Requirements Proven experience in a Digital Marketing Executive or similar remote digital marketing role Strong expertise in SEO (technical, on-page, off-page, and local SEO) Solid experience with Google Maps marketing and local search optimisation Strong understanding of Google Analytics and Google Tag Manager, including conversion tracking setup Experience improving website traffic, rankings, and conversion rates Proficiency in WordPress website management and optimisation Experience using GoHighLevel and/or Instantly for campaign management and outreach Strong analytical skills with the ability to interpret data and generate actionable insights Good Excel skills for reporting and performance tracking Strong project management and organisational skills Excellent written and verbal communication skills Self-starter with the ability to work independently and take initiative in a remote environment Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in the software development lifecycle Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar) Experience with Nix/NixOS/Docker and managing large image / package sets at scale Experience building CLI tools, developer-facing services, and GitHub API and automation workflows Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel Required) | 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 In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities Build full-stack end-to-end across the People Products portfolio. Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have shipped LLM-native features or applications. Derive joy from hard work and the act of creation. Are experienced enough to build big features independently, and make great architectural decisions along the way. Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle. Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. Strong Candidates May Also Have: Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production. Background at an AI-native company or in a product-focused 0->1 engineering environment. Experience with HR tech platforms such as Greenhouse, Workday, or Rippling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a System Software Engineer for GCC/LLVM compiler, tooling, and ecosystem We are building a team to focus on the modern C and C++ programming language and their ecosystem on Ubuntu. They will deliver the best possible GCC and LLVM runtimes, developer experience and supporting tooling in Ubuntu. They will  ensure that the cutting edge of modern programming languages innovation is available to Ubuntu users, to lay the foundation for future inventions and open source communities. This is an exciting opportunity for a software engineer with a strong passion for compilers, runtimes and tool chains. You will have excellent competencies in modern C/C++, Linux distributions, software architectures and  open source software.  Come build a rewarding, meaningful career working with the best and brightest people in open source technology at Canonical, a growing international software company and make Ubuntu the best operating system to develop and run C/C++ applications in the cloud, in datacenters, in containers, directly on the operating system, and anywhere Ubuntu can run. The Ubuntu Foundations Team delivers the core Ubuntu system, the base for the entire Ubuntu family of products and services. Ubuntu strives to deliver the latest-best free software components, in an easy to use and highly reliable form. We build on the technical excellence of keystone open source software like GNU and Debian and bring additional focus and shape to the solutions we offer the industry. Part of the Ubuntu Foundations team, you will work on one of the most critical toolchains involved in the making of Ubuntu and the pillars of the modern software ecosystem. You will leverage your competencies and experience  in C, C++ to make Ubuntu the best platform to develop, distribute and consume software built with GCC and LLVM. You will be passionate about the future of C, C++, of Ubuntu, mindful of the dynamics of the open-source ecosystem, and equally aware of the needs of large but innovative organizations. You will drive the best in class integration in Ubuntu from desktop to cloud in a secure, reliable, performing, efficient and future-proof fashion. You will be discussing design with other team members , mentor less senior engineers, and participate in code reviews and design reviews. You will also be working with other teams to ensure architecture decisions improve the overall performance and experience of Ubuntu. Your role as part of the Ubuntu Foundations team will have an impact on every aspect of Ubuntu from Desktop, Server, Ubuntu Core and also cloud images. Location: This role will be based remotely in the AMERICAS region The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Collaborate proactively with a distributed team Select, integrate and package best-of-breed tooling with Ubuntu to improve developer and operator experience with GCC and LLVM Write high-quality code to create new features Debug issues and produce high-quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions Work from home with global travel 2 to 4 weeks a year for internal and external events What we are looking for in you You have relevant GCC or LLVM experience, ideally in the world of cloud-native software and Linux You have experience in packaging software for Debian and Ubuntu You are a long-time Linux user Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path You love technology and working with brilliant people You are passionate, curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated Ability to travel internationally twice a year for company events up to two weeks long Nice-to-have skills Experience with Linux distributions and distribution engineering Experience with software packaging and distribution mechanisms Understanding of build systems and toolchains, including for cross-compilation Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ 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: 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? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What Will I Be Doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What Skills Do I Need? Minimum of 4 years of experience in a technical pre-sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally #LI-Hybrid #LI-RH1 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: Poland Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Portugal Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Spain Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Turkey, Istanbul Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Bulgaria, Sofia Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: New York, NY; United States - Remote; Philadelphia, PA; Washington, DC Workplace: remote We are seeking a motivated and results-driven Cloud Sales Specialist to help grow our Platform Prime customer base and increase revenue. The Prime Sales Specialist will play a pivotal role in driving North America sales through a mix of new Platform Prime customer acquisition and cross-selling into existing Platform Core clients. You will work closely with the sales and technical teams to communicate the value of Azul’s solutions to both technical and business stakeholders.   This is an individual-contributor, quota-carrying role that can be based remotely in the US. What You’ll Do (aka Responsibilities): Sales Strategy & Execution: Develop and implement strategies to generate new Prime business opportunities and achieve sales targets within assigned territories/accounts. Client Engagement: Actively engage with existing Platform Core customers to understand their unique challenges and business needs, providing Azul solutions. Sales Pipeline Management: Manage the entire sales cycle, from lead generation to close. Maintain a robust pipeline of opportunities and forecast accurately.  Build a 3X pipeline. Cross-functional Collaboration: Work closely with Sales Engineers, Marketing, and Customer Success teams to ensure prospects receive comprehensive, clear, and accurate product demonstrations, proposals, and support. Negotiation & Closing: Drive contract negotiations, while consistently closing business on a monthly and quarterly basis. Reporting: Maintain accurate records of sales activity, progress, and outcomes in Salesforce. What You’ll Bring (aka Experience and Education) 15+ years direct software sales experience Proven track record of direct sales of both on-premise and cloud-based software solutions into large enterprises, as well as SaaS centric companies Demonstrated experience in key verticals:  online retail, e-commerce, ad-tech, gaming and financial services Significant experience selling into the infrastructure space (OS, JVM, Container) versus the application space Confident experience working in close partnership with a Technical Sales Engineer Extensive experience selling technical products that require technical POCs Experience selling enterprise products based on Java-based Open Source, highly desired Undergraduate degree, or equivalent experience What You'll Bring (aka Skills and Competencies) Exceptional communicator, influencer and presenter Ability to Evangelize a new solution where there most likely is not an existing budget placeholder Demonstrated ability with Multi-Level selling Proficient in deal qualification methodologies, MEDDPICC preferred Progressive and proactive use of industry sales tools and systems Location New York, CT or New Jersey. 135-160k Base range D.O.E with a 300k on target earnings potential, UNCAPPED.