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Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Build systems that power the #1 Health App for Women We’re not a startup guessing what might work anymore, we’re operating at serious scale. Flo is used by 1 in 4 women aged 18–44 in the US. And we just hit our biggest month ever with 8.6M installs and a 2.8M MAU jump. The engineering behind that? Complex, distributed, secure and yours to help shape. At Flo, backend engineering is core product work. We build: Data-driven health insights that genuinely change lives Distributed systems that stay fast, available and scalable under massive real-time demand Privacy-first features like Anonymous Mode -  recognised in TIME’s Best Inventions Tooling and platforms that help Flo’s teams move faster, with fewer bottlenecks We’re tech-agnostic when hiring for backend. If you’ve built and run distributed systems and want to work in Scala (or already do), great. We’ll support your ramp-up. What matters most: you can solve problems, own outcomes, and keep learning. Your Experience You’ll thrive here if you: Have 7+ years’ experience building distributed backend systems Know what it takes to make systems fast, reliable and secure and when to prioritise each Are fluent in Java, Scala, Python or similar (and curious enough to learn Scala with us) Get DevOps, databases (SQL and NoSQL) and love designing APIs that just work Have a strong handle on writing clean, documented, version-controlled code Take ownership, show initiative and don’t wait to be told Are product-minded and always thinking about the end-user impact Bonus if you’ve worked with: Stream processing Public cloud infrastructure (AWS, GCP etc.) What’s in it for you? You’ll join a senior engineering team that moves fast, thinks big and builds tech used by millions daily. You’ll work on meaningful problems with real impact - in health, privacy and scale. This isn’t just code for the sake of code. This is building the future of personalised health. #LI-Hybrid #LI-LM12 Salary Range - gross per month (ranges may vary based on skills and experience) €6.500 — €10.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

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. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. 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: £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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea; Tokyo; Mumbai, India; Singapore; Sydney, Australia; Kuala Lumpur; Thailand Workplace: remote ABOUT YOU The Developer Evangelist – Integrations is a hands-on technical advocate who empowers game developers to successfully integrate Xsolla’s products and features into their games. This role blends deep technical expertise, solution-building skills, and community presence to help developers create smooth, scalable, and high-quality implementations.   We are looking for a specialist based in the APAC region. The ideal candidate combines technical proficiency with strong communication skills and is motivated to support developers in building successful integrations.   You will work directly with partners, lead technical workshops, create integration-focused resources, and contribute to lighthouse cases—benchmark integrations that inspire both the industry and internal teams.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. RESPONSIBILITIES Lead hands-on developer sessions, integration walkthroughs, and partner workshops. Provide technical guidance for both custom integration scenarios and self-service implementations . Support partners in solving integration challenges quickly and effectively, acting as a trusted technical advisor. Develop high-quality technical resources, including: Integration guides, step-by-step tutorials, and sample code. Demo projects, reference implementations, and API usage examples. Recorded video walk throughs, technical webinars, and training sessions. Keep all resources up to date with the latest product features and integration best practices. Work with Product and Developer Relations leadership to deliver lighthouse integration cases —top-tier implementations that showcase the full potential of Xsolla’s solutions. Document and package these integrations as reusable templates and inspiration for other developers. Represent Xsolla at industry events, technical conferences, and meetups. Conduct technical presentations, live demos, and coding sessions that inspire confidence in Xsolla’s integration capabilities. Collect and relay developer feedback on integration processes and tools to Product and Engineering teams. Recommend improvements to SDKs, APIs, and documentation to streamline integration efforts. Track and report on: Number and quality of integrations delivered or supported. Engagement with integration-focused resources. Conversion rates from technical enablement to live integrations. QUALIFICATIONS & SKILLS 3–5 years in Developer Advocacy, Solutions Engineering, or Technical Evangelism, ideally in the game industry. Strong technical skills in game development and integration (e.g., Unity, Unreal, backend APIs, payment systems). Experience delivering hands-on technical training, demos, and workshops. Excellent problem-solving abilities and customer-focused mindset. Comfort in public speaking and presenting technical content to diverse audiences, English is a must. Ability to travel for partner visits, conferences, and training events Nice to Have: Fluent in either Korean or Japanese, with excellent written and spoken communication skills. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Seoul, South Korea; Tokyo; Mumbai, India; Singapore; Sydney, Australia; Kuala Lumpur; Thailand Workplace: remote ABOUT YOU The Developer Evangelist – Community is the public face of Xsolla in the game developer ecosystem, building trust, engagement, and advocacy across online and offline communities. This role focuses on technical content creation including coding, SDKs and APIs, community presence, and relationship-building to help game developers discover, adopt, and succeed with Xsolla’s products.   We are looking for a specialist based in the APAC region. The ideal candidate combines strong technical expertise with excellent communication skills, thrives in partner-facing interactions, and is ready to travel regularly across the APAC region.   You will act as a storyteller and connector—translating complex technical concepts into accessible, inspiring content while ensuring Xsolla has a strong, credible voice in the most relevant developer spaces.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. RESPONSIBILITIES Establish and maintain a strong presence in top game developer communities . Represent Xsolla at developer conferences, meetups, and industry events . Organize and participate in developer meetups, hackathons, and regional gatherings. Produce high-quality technical and inspirational materials, including: Articles, blog posts, and tutorials. Videos, webcasts, and looms. Social media stories, posts, and developer updates. Keep all content up to date and aligned with the latest product releases and best practices. Collaborate with Developer Marketing to amplify content reach and engagement. Act as a trusted liaison between developers and Xsolla’s Product/Technical teams. Gather, organize, and share feedback from the community to help improve product features and documentation. Identify opportunities for lighthouse integration cases and partner with internal teams to bring them to life. Track and report on: Reach and engagement of produced content. Community participation and growth. Developer satisfaction with materials and events. Use insights to refine outreach tactics and maximize impact. QUALIFICATIONS & SKILLS 3–5 years in Developer Advocacy, Community Management, or related roles, ideally in the game industry. Technical background and software development experience. Solid understanding of game development processes and tools (mobile, PC, and/or web). Proven ability to produce engaging technical content across multiple formats. Strong presence in online developer communities and comfort in public speaking. Excellent communication, storytelling, and interpersonal skills, English is a must. Ability to travel for partner visits, conferences, and training events Nice to Have: Fluent in either Korean or Japanese, with excellent written and spoken communication skills. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you enjoy the challenge of solving complex, non-deterministic problems with simple, pragmatic solutions? As a Staff Services Engineer for teamLFG, you will design and build the core services that take our game from prototype to production, from gathering requirements to implementation and scaling. Most importantly, you will work with a fun, dedicated, and passionate cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Build and maintain production-quality backend game services Collaborate daily with a cross-disciplinary team to design the core services for the game (including sessions, matchmaking, and player progression) Effectively write clear, concise, and accurate technical documentation and email communication, with the ability to summarize complex topics and achieve alignment across multiple teams Calmly deal with production incidents, participating in an on-call rotation after launch REQUIRED SKILLS Production experience designing and building backend game services Ability to communicate with customers of different technical and non-technical backgrounds to help them navigate technology and achieve their goals Ability to diagnose complex system failures using logging and metrics Ability to write, debug, and maintain code in Rust Embrace a “we” culture in addition to being an outstanding collaborator and communicator NICE-TO-HAVE SKILLS Experience with “games as a service” online game development Experience leading (direct management, mentoring, or guiding) engineers Ability to write, debug, and maintain code in C++ Working knowledge of Docker, Git, and Linux (including shell scripting and system configuration) At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $190,000 — $285,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you think a lot about how modular rigging systems enable quick iteration, how streamlined DCC pipelines empower artists, or how to achieve feature-quality character animation within real-time constraints? Come join us at teamLFG ! As a Tech Art Lead at teamLFG , you’ll collaborate closely with the art team to bring iconic characters to life from pre-production and beyond for a completely new world at PlayStation. Your ability to craft exceptional character rigs and efficient art workflows with a high degree of autonomy will delight animators and contribute to a class-leading action game! As a member of our tight-knit art team, you’ll balance craft expertise with a player-first mindset and willingness to contribute beyond your role to improve the prototype experience. Help build and deliver functional and innovative rigs in prototypes and establish scalable pipelines for production. Most importantly, you will work with a fun, diverse, cross-discipline team devoted to building a new universe from scratch. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Lead the Tech Art discipline & define the team’s goals while also contributing directly as an IC in early stages of the project Build and manage the Technical Art team, including mentoring and management of internal Tech Artists and overseeing external Tech Art work Work closely with the Art Director to find innovative methods for bringing the team’s artistic vision to screen Ensure visual aspects of the game are performant across all platforms (PC, console) Collaborate with project leadership to define and oversee the Technical Art roadmap, working cross team with technical artists, animators & designers to inform these decisions Create custom tools to enhance the game's visual fidelity and performance. Develop and refine workflows and pipelines that boost production efficiency and foster team collaboration. Introduce new features to the art team by showcasing examples, giving presentations, and producing relevant documentation. Engage in proactive communication with all stakeholders to ensure shared objectives and preemptively manage any challenges. REQUIRED SKILLS Experience in rigging workflow & pipeline creation Production experience with standard content creation tools such as Maya, Substance Painter, and Photoshop as well as professional experience using Python Ability to independently translate art team goals into creative solutions with a thorough understanding of cost, efficiency, and quality tradeoffs Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Experience in producing clear, concise, and accurate technical documentation, with the ability to simplify complex topics Experience in managing and resolving stability, performance, and memory issues across different platforms. Experience with Unreal Engine Experience managing external resources effectively Experience shipping across multiple platforms (PC, console) Bachelors degree or equivalent Nice to have Skills Ability to creatively solve problems for a wide variety of asks during R+D, as demonstrated by prior success in incubation environments Ability to create unique custom shaders and effects that are efficient, scalable and deliver on the team's vision. Ability to create and hook up gameplay VFX assets Experience creating/managing modular environment systems At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $143,000 — $215,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: San Francisco, California 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? As a MidMarket Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting. This is a seat at the centre of the biggest shift selling has seen in decades. You'll be selling AI agents to companies rethinking how their entire customer experience works, which means the conversations are strategic, technical and genuinely interesting. You'll also be using AI every day to run your own territory, from qualification to research to how you read a deal, so you're not just talking about the technology, you're operating on it. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Evangelize AI transformation by spearheading the growth and adoption of Fin across your given territory With access to the best internal AI tooling and enablement the market, maintain category leading and differentiating knowledge of AI as the category evolves Manage the full sales cycle, from prospecting to close, through a highly consultative sales approach Regardless of your segment, manage a varying volume complex 6 figure new business deals (at Fin, large and xl deals exist in every segment) Articulate Fin's value and differentiation using the Command of the Message framework / MEDDPICC. If this is new to you, you will be trained on this leading sales methodology Learn from sales leaders how to drive true control of your business; from QBR, territory planning and weekly / monthly forecasting. Partner with Sales Leaders, Sales Engineers and the wider solutions team to win flagship logos in the market Represent the voice of the customer to cross-functional partners, including R&D, Product, and Marketing What skills do I need? 4+ years experience as an Account Executive 2+ years of SaaS experience selling similar products Experience meeting and exceeding quota in a closing role, with a track record of selling SaaS or DBaaS Experience, passion and success in outbound prospecting Strong sales acumen and a general interest in the businesses you work with Experience selling products with technical complexity or thorough implementation (bonus to have) AI fluent and/or deep interest in AI tooling Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes Exhibits a growth mindset, intellectual curiosity, and ambition * Proof of eligibility to work in the United States is required. The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). 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: New York, NY (HQ); San Francisco, CA 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 Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users. Check out our Engineering Blog https://builders.ramp.com/ to learn more about our tech stack, mission, and values! WHAT YOU’LL DO - Build software that helps grow Ramp to its next millions of users - Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company - Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data - Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation - Drive business outcomes through experiments and metric-driven software development - Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools - Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design WHAT YOU NEED - Minimum of 3 years of experience in a software development role - Experience shipping fast, reliable applications using modern development tools and infrastructure - Comfort operating in a fast-paced, constantly evolving startup environment - Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty - Perpetual curiosity and a passion for continuously improving your craft NICE-TO-HAVES - Startup experience as a technical co-founder or early engineer - Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake) - Experience applying AI/LLMs in production environments - Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health) - Experience building user-facing data or internal business applications - Familiarity with tools that power marketing and sales automation, personalization, and analytics 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

Workplace: fully About Utorg Founded in 2019, Utorg builds the infrastructure behind stablecoin payments: on/off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra. We are an international team of young and ambitious professionals united by a passion for innovation and a belief in the decentralized world. And now, we are looking for a Head of Crypto Vertical who will strengthen our team and contribute to the success of our products and the bright future of Web3. Mission: Build and scale the crypto business line (crypto card, non-custodial wallet, trading) into an autonomous, high-growth vertical. Own the P&L and drive revenue, profitability, and sustainable, regulation-aware growth. What you will do: P&L ownership for the crypto vertical: budgeting, forecasting, pricing, margin management. Partnerships & BD: identify, negotiate, and close strategic deals (issuers/processors, liquidity, payroll/HR SaaS, neobanks, exchanges, aggregators, merchants). Market & regulation: track competitors, user behavior, and rules ( KYC/AML/MiCA, card schemes, on/off-ramps ) and turn insights into action. Team: own the hiring plan and build a lean business team from zero (growth/performance, BD/partnerships, ops/support). Set clear responsibilities and KPIs, coach for performance, and make tough calls when someone doesn’t deliver. Cross-functional leadership: align Product, Legal/Compliance, Ops, Data, and Marketing around clear commercial targets and SLAs. Reporting: present plans, numbers, and decisions to founders/execs. First 3–6 months (hands-on): You’ll run ops yourself, set up the initial processes (pipelines, SLAs, weekly KPIs, monthly P&L), and hire the core business team (growth, BD, ops). You’ll launch acquisition channels (target LTV/CAC ≥ 3 in one priority segment) along with the CMO and close the first 2–3 strategic B2B/B2B2C deals . Once ops are stable, you shift even more time to scaling and strategy. Requirements: 5+ years in fintech/crypto/payments/banking with GM / Head of BizDev / Head of Business-type ownership. Proven P&L delivery on revenue, profit, margin, and volume targets. Hands-on launching/scaling crypto payments/wallets/cards/trading (B2C and B2B/B2B2C). Strong command of unit economics (CAC, LTV, ARPU, margin, payback), pricing, and portfolio prioritization. Deep partnerships/BD track record: sourcing, negotiating, contracting, integrating, and making deals perform. Solid grasp of KYC/AML/MiCA , card-scheme, and on/off-ramp constraints; productive work with Legal/Compliance. Strong analytical skills (SQL/BI a plus) and clear executive communication in English. What this role is not: This is not a classic product manager or chief product officer role. What we offer: Established yet dynamic environment : We’re a well-rooted fintech company with several profitable products and structured business units. Historically strong in B2B2C across Europe, we’re now doubling down on building and scaling a consumer-facing crypto vertical Real traction, not just vision : Our non-custodial wallet and crypto card are already live with confirmed product-market fit in multiple segments (with strong revenue and 6-month retention metrics). Crypto IBAN is in development, and trading is at the concept stage. There's still untapped potential in segments we haven’t entered yet. Ownership and autonomy : This role is essentially a mini-CEO position. You’ll have full P&L ownership, a direct line to the founders, and the mandate to build a standalone business unit with a 2+ year strategic horizon. You'll shape product offerings, growth strategy, and go-to-market channels. Hands-on early stage, high leverage long-term : In the first 3–6 months, you’ll build the business team (growth/BD/ops), establish processes (pipeline, SLA, KPI, P&L), and drive predictable growth via performance marketing, brand, sales, and strategic partnerships. From there, it’s all about scale and long-term impact. Resources and support where it matters : You’ll get the budget and resources aligned with your roadmap, autonomy in decision-making, and influence over a broader fintech product portfolio (wallet, card, IBAN, trading) in one of the most promising markets: crypto in the EU.

Location: São Paulo, Brazil Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspirations Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 4+ years’ experience as a software developer with .NET and Vue.js Experience developing in a cloud environment (Azure, GCP, AWS) Microservices/REST API skills Database experience Excellent communication, organizational, and leadership skills Upper-Intermediate+ English level Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 What's working at Dev.Pro like? Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies Experience automating workflows or building automations to handle the repeatable components of a sales process Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England 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's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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: London, England 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's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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: Strausberg, Germany Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers. As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store. Please note: Applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations. Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market. Responsibilities: Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both. Provide objective feedback about your experiences. Choose assignments that align with your profile and interests. Complete questionnaires after each evaluation. Comply with all given project objectives and special requirements from the luxury brand we represent How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG: CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at www.cxg.com . Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go. Contact us for more information! Requirements Must be 18 years or older. Existing client of premium and luxury brands. Not contractually engaged with any retail brands, to maintain integrity. Punctual, organized, detail-oriented, reliable. Observant, passionate about customer experience. No prior experience needed, we look for honest feedback from real customers.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week