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Location: Barcelona, Spain; Mataró, Spain; Castelldefels, Spain; Cerdanyola del Vallès, Spain; Sant Cugat del Vallès, Spain; Terrassa, Spain Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. What You'll Do Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing) Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust Requirements Must-Have Experience 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models) Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment dbt, PySpark, Snowpark, SQL, Python — strong across the modern data stack Orchestration with Airflow, Databricks Workflows, or equivalent Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows Nice to Have Pharma, life sciences, or regulated financial services domain experience Veeva CRM, IQVIA, SAP, or clinical data source integration Streamlit or Databricks Apps for business-facing analytics Databricks Data Engineer Professional certification LangChain, LlamaIndex, or equivalent RAG frameworks Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions What We're NOT Looking For Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role

Location: Dubai, United Arab Emirates; Port Louis, Mauritius; Beau Bassin, Mauritius; Vacoas-Phoenix, Mauritius; Curepipe, Mauritius; Quatre Bornes, Mauritius Our Client is a well-established Restaurant group running successful and award-winning restaurants in Dubai. Currently, they are looking for Bartenders to join their team in Dubai. Responsibilities Prepare alcoholic or non-alcoholic beverages for bar and restaurant patrons Interact with customers, take orders, and serve snacks and drinks Assess customers’ needs and preferences and make recommendations Mix ingredients to prepare cocktails Plan and present bar menu Check customers’ identification and confirm it meets the legal drinking age Restock and replenish bar inventory and supplies Stay guest-focused and nurture an excellent guest experience Comply with all food and beverage regulations Requirements Proven working experience as a Bartender Excellent knowledge of mixing, garnishing, and serving drinks Computer literacy Knowledge of a second language is a plus Positive attitude and excellent communication skills Ability to keep the bar organized, stocked, and clean Relevant training certificate Benefits As per market standards.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What you'll do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage. Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team. Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices. Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate. Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads. Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity. What you need 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level. Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information. Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization. A Master's degree in Computer Science, Engineering, or a related field is preferred. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

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 Investor Relations team manages our relationships with shareholders, prospective investors, and the broader financial community, and helps educate investors on Anthropic's mission, strategy, and financial performance. As the Operations Lead for the team, you'll own the administrative and operational backbone that keeps IR running smoothly, from coordinating investor meetings and preparing the team for them to managing the vendors and logistics behind high-profile events and visits. You'll work directly with the Head of Investor Relations and the IR team, and cross-functionally with Finance leadership, Finance & Strategy, Capital Markets, Accounting, Corporate Legal, Communications, and Workplace, to make sure every investor touchpoint reflects well on Anthropic. Because the function is still being built, you will often be creating the process rather than following one. This role suits someone who is highly proactive, thrives on structure, anticipates needs before they arise, and enjoys being the person who makes complex logistics look effortless. Key responsibilities Schedule and coordinate investor calls, meetings, and briefings, managing calendars across multiple stakeholders and time zones, and helping the team prioritize when investor demand exceeds our capacity Partner with internal teams and on-site staff to plan and execute investor events, visits, and other in-person engagements Prepare the team and executives for investor conversations and capturing follow-ups afterward Own vendor relationships for IR-related services, from sourcing through ongoing management of scope, budget, and performance Help the team set agendas and priorities, tracking deliverables and following up to ensure commitments are met on time Maintain and organize IR records, the investor contact database and interaction history, and shared materials so information stays easy to find and current, and help select and run the tools the team uses to track shareholder engagement Serve as a primary point of contact for internal stakeholders and external partners on logistical and administrative questions Build and document the recurring processes a growing IR function needs, from meeting request intake through post-meeting follow-up, and keep improving how the team operates day to day Partner with Corporate Legal and Communications on the handling and review of investor-facing materials, so information moves through the right checks Support ad hoc projects as investor relations priorities evolve Minimum qualifications Experience coordinating complex calendars, meetings, or events across multiple stakeholders Experience managing vendor relationships, including scope, budget, and performance tracking Strong organizational skills, with the ability to juggle multiple priorities and deadlines Excellent written and verbal communication skills Demonstrated judgment handling sensitive, confidential, and market-sensitive information with discretion Comfort operating autonomously in a newly formed team, including building processes and systems that do not exist yet Preferred qualifications Experience supporting an investor relations, capital markets, or finance leadership function, ideally in a company that was growing quickly Familiarity with the needs of external-facing, high-stakes engagements Experience operating in a fast-paced, high-growth company environment A proactive, detail-oriented approach to identifying and solving problems before they become issues Familiarity with investor relations or CRM tools for tracking shareholder engagement, and comfort using AI tools to work faster Curiosity about financial markets, technology, and AI, and interest in how a research-driven company explains itself to investors 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: $200,000 — $265,000 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: 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. Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Commercial segment. As one of the first CSMs for our Commercial segment, you’ll be a thought partner both for our customers and for your cross-functional partners, helping define how Customer Success can play the most meaningful role in helping our customers harness the full potential of our products, move toward the frontier, and ultimately realize value. You'll work with organizations that move fast and push the boundaries of what's possible with AI, helping them harness the full potential of all of our Claude capabilities: from Claude Code and Cowork to the API. Drawing on both your business acumen and technical expertise, you’ll gain a deep understanding of customers’ business objectives, strategic direction, AI vision, and technical needs   to serve as a strategic advisor throughout their journey. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, providing best practices and guidance while supporting your customers as their usage grows and evolves. Your role focuses on helping customers both scale and optimize their usage, implement change management strategies, and maximize the value of their investment through expanded use cases and value realization measurements.  The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a Commercial segment and broader business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products, developing activation plans for newly sold use cases, and mapping out future consumption / adoption opportunities to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products and advancing their journey toward the frontier by socializing Anthropic’s product roadmap, driving awareness on new products, and engaging Product PMs Develop and execute change management strategies to drive end-user adoption, including Champion Program development, Train the Trainer programs, Center of Excellence development, and overall organizational enablement Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks to optimize efforts across your portfolio and help fellow CSM’s scale their impact You may be a good fit if you have: 4+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders — from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 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: 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 Copywriter, Developer at Anthropic, you will shape how our brand speaks to developers, an audience that is notoriously allergic to being marketed to and quick to spot anything that doesn't ring true. Developers who stay sharp, curious, and direct AI tools with their own judgment are the ones who will thrive, and your job is to help that idea land authentically rather than arrive as a slogan. You'll co-create a voice that developers recognize as empathetic, direct, and genuinely useful, and you'll bring that voice to every place our brand meets a developer. In this role, you'll own the brand-led developer writing that sits between Dev Rel's technical content and pure marketing: launch narratives, campaign work, social, paid, event materials, and developer work that shows up in enterprise contexts. You'll partner closely with Dev Rel as an embedded extension of their team, co-own the developer voice and tone guide with Comms, work with Claude Code and developer marketing leadership on strategic initiatives, and sit within a developer creative pod alongside a brand designer and program manager, with our Head of Copy and Content as your craft lead. Responsibilities Own the developer-facing expression of brand campaigns, starting with Keep Thinking, translating brand-level ideas into writing that works across launches, social, and paid Build the developer voice and tone guide in partnership with Comms and Dev Rel, then turn it into the templates and examples the creative team uses for developer work Own the brand-led developer assets that sit between technical content and marketing, from event and campaign materials to developer writing in enterprise contexts Partner daily with Dev Rel as an embedded extension of their team, complementing the technical content they own rather than duplicating it Develop launch narratives and short-form copy that adapt expert, technical material into sharp, accurate writing developers trust Lead copy for the developer creative pod, working side by side with brand design and program management to ship integrated work Partner with Claude Code leadership and developer marketing leadership on strategic initiatives that shape how we show up for developers Present work and a clear rationale for voice and craft decisions to stakeholders across Brand, Dev Rel, Comms, and marketing Manage feedback from technical reviewers and Comms so that what ships is both accurate and within what we can say externally Track how developer-facing work lands and use what you learn to sharpen the voice, the templates, and the work itself You may be a good fit if you Have 8+ years experience writing for developers or technical audiences, and a portfolio that shows both technical and brand work Have shipped work that developers actually shared, whether in-house at a developer tools or infrastructure company or at an agency serving those clients Have a strong, specific point of view on how brands should talk to developers, and can articulate it with examples Can read a changelog or a docs page and explain why a developer would or wouldn't trust it Are skilled at adapting expert material into sharp short-form copy and launch narratives without losing accuracy Work fluidly across the full range from technical content to pure brand writing Already use Claude or other AI models in your own writing practice and can talk concretely about how Enjoy embedding with technical teams and treating engineers and Dev Rel as creative partners, not just reviewers Are comfortable co-owning standards with other teams and knowing where your lane ends and theirs begins Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience working directly alongside a Dev Rel or engineering team rather than through a brief Built or contributed to a voice and tone guide, style system, or writing templates that other people successfully used Written for developer launches at a fast-moving product company, where accuracy and speed both mattered Familiarity with the AI developer ecosystem, including coding tools, APIs, and how developers evaluate them Experience writing developer-credible work that also performs in enterprise or executive contexts A personal writing practice, newsletter, or public work that demonstrates voice and judgment Worked within brand campaign systems and translated them for a skeptical or specialized audience 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: $200,000 — $255,000 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: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Platform security is foundational to protecting Phantom and the systems our users rely on. We’re hiring a Senior Platform Security Engineer to own and improve security across our AWS and Kubernetes environments. You’ll work directly with infrastructure and engineering teams to secure the control planes, identities, workloads, and deployment systems behind our most critical products. We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work. We’re looking for a strong security engineer with high agency who can identify the risks that matter, build practical controls, and own problems through verified remediation. This is a hands-on role for someone who is comfortable working in production systems, writing code and infrastructure, responding to incidents, and making security improvements without slowing down the teams building on the platform. This role is fully remote; however, we’re only open to candidates based in the US and Canada. RESPONSIBILITIES - AWS Security: Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails. - Kubernetes Security: Secure production Kubernetes environments running on Amazon EKS, including cluster configuration, workload identity, RBAC, admission controls, network boundaries, secrets, container security, and tenant isolation. - Identity and Access: Design least-privilege access models for engineers, services, and automation. Build scoped, auditable, and time-bound access paths for sensitive production systems. - Mission-Critical Systems: Protect the infrastructure supporting products and services that handle sensitive data and high-value operations. - Cloud Security Architecture: Lead security design for new infrastructure, platform services, and major architectural changes. - Infrastructure and Policy as Code: Build reusable security controls using tools such as Pulumi, Terraform, Kubernetes policy engines, and automated configuration validation. - CI/CD and Supply Chain Security: Harden build, deployment, and release systems, including GitHub Actions, workload federation, build runners, dependencies, artifacts, signing, provenance, and access to production environments. - Security Automation: Build tools that identify and remediate cloud and Kubernetes risks at scale. Apply AI-assisted workflows where they materially improve analysis, coverage, or response speed. - Cross-Functional Leadership: Partner closely with Infrastructure, SRE, Developer Experience, and product engineering teams. Establish practical platform-security standards and help teams adopt them. QUALIFICATIONS - 7+ years of experience in platform security, cloud security, infrastructure security, security engineering, or a closely related engineering role. - Deep, hands-on experience securing production AWS environments. You understand IAM and resource policies, workload identity, network security, secrets management, logging, organization-level controls, and the ways these systems fail in practice. - Deep experience securing Kubernetes in production, preferably Amazon EKS, including RBAC, workload identity, admission policy, network policy, pod security, secrets, and cluster hardening. - Experience designing or securing mission-critical systems where compromise, excessive privilege, or loss of availability could have significant customer or business impact. - Strong understanding of identity, authorization, least privilege, isolation, and blast-radius reduction across both human and machine access. - Experience securing CI/CD and software supply chains, including GitHub Actions or similar systems, build runners, workload federation, artifacts, and production deployment paths. - Experience writing and reviewing infrastructure as code using Pulumi, Terraform, CloudFormation, or similar tools. - Ability to write production-quality code or automation in a language such as TypeScript, Python, Go, or Rust. - High agency and ownership. You can take an ambiguous platform-security problem from initial investigation through implementation and verified remediation. - Clear communication and a strong track record of partnering with infrastructure and engineering teams while maintaining a high security bar. NICE TO HAVES - Experience with AWS Nitro Enclaves or other trusted execution environments, including attestation, isolation boundaries, secure key handling, and operational lifecycle management. - Experience securing financial, payments, wallet, custody, or other high-value transaction systems. - Familiarity with key-management infrastructure, AWS KMS, CloudHSM, cryptographic signing systems, or secrets-management platforms. - Experience operating or securing multi-region Kubernetes and AWS environments at significant scale. - Familiarity with service meshes and cloud-native networking technologies such as Istio, PrivateLink, Transit Gateway, or eBPF-based controls. - Experience with GitHub OIDC, Argo CD, Helm, Crossplane, or Kubernetes-based infrastructure delivery. - Experience using cloud-security and observability platforms such as Wiz, Datadog, GuardDuty, Security Hub, or CloudTrail. - Experience building policy-as-code, automated remediation, or security tooling used by a large engineering organization. - Familiarity with blockchain infrastructure or self-custodial wallet architecture. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for a Talent Operations Manager to own the systems, data, and operating rhythm behind how Render hires. You’ll architect our ATS, build the reporting that Talent and hiring teams rely on, and lead process changes that help us scale without losing quality. You’ll work closely with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners. You’ll make sure our hiring data can answer the questions teams need to make better decisions. This is a high-leverage role for someone who likes turning messy, fast-moving work into clear operating systems. You’ll help us reduce process drift, improve candidate and interviewer experience, keep hiring data trustworthy, and give the team better visibility into what is working, what is blocked, and where we need to adjust. We value people who are practical, systems-minded, and steady when the work gets complex. The right person can zoom out to design how the system should work, then zoom in to improve the field, report, access role, or automation that is slowing the team down. WHAT YOU’LL DO - Architect how our ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations - Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and visibility into hiring plan progress - Keep hiring data accurate and reconciled across the ATS, the hiring plan, and downstream systems so decisions get made on numbers people trust - Turn recurring Talent Operations requests into better systems: identify patterns, improve workflows, automate repeatable work, and make the right processes self-serve - Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations - Build the connective tissue between systems, including API-based reporting, integrations, and automations that reduce manual work for recruiters and coordinators - Lead process rollouts with clear documentation, training, adoption checks, and follow-through so changes stick WHAT WE’RE LOOKING FOR - 5+ years in recruiting, recruiting operations, talent operations, people systems, or a similar systems and data role in a high-growth environment - Deep ATS expertise, particularly Ashby. You can design how the system should work, not just maintain it, across custom fields, access roles, interview plans, automations, integrations, and reporting foundations - Strong analytical skills. You can take a vague question, decide what data would answer it, and build the report yourself - Proficient in Google Sheets or Excel. You can pull data together from multiple sources and turn the result into a case a cross-functional partner can follow - Experience owning data integrity across an ATS and the systems around it, including reconciling against a hiring plan or another source of truth - Strong program and change management skills. You can roll out a new process, teach it, measure adoption, and keep the team aligned - Clear written communication, strong documentation habits, high attention to detail, and good judgment in a fast-moving environment NICE-TO-HAVES - Experience building or scaling a recruiting operations function at a post-Series B/C company - Experience supporting technical recruiting teams or high-volume engineering hiring - Hands-on experience with the Ashby API or ATS-based reporting - Exposure to headcount planning or headcount management systems - AI fluency, with good judgment about where AI helps, where it adds risk, and what checks are needed before others rely on the output If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: Twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 – $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We’re looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you'll do Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure. Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog. Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements. Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem. Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems. Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic. What you need Proficient in TypeScript, with backend/infrastructure experience. Hands-on experience with Go, Rust, or Zig in production systems. Experience with distributed computing systems at scale. Experience with cloud infrastructure, including object storage. Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends). Bonus if you Have contributed to or worked closely with CNCF observability projects. Built, scaled, and improved internal developer platforms. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco; New York Workplace: Remote 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. ABOUT THE ROLE: We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer. WHAT THE ROLE IS: - A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you. - A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed. - A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences. WHAT THE ROLE IS NOT: - A traditional post-sales role. You're measured on revenue, not health scores. - An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth. - A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people. - An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it. - A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job". WHAT YOU'LL ACHIEVE: - Build Modal's account management function and iterate on it as we scale the business - Own and deliver on a revenue target across your book of accounts - Grow an account's first use case, expand into a second, and drive standardization across the Modal platform - Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product - Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap - Travel to customers as needed to support key accounts and drive expansion opportunities WHAT YOU'LL NEED TO BRING: - Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business. - Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack. - AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you. - Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction. - Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it. - Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you. NICE-TO-HAVE: - Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role - Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps) - Early GTM hire experience at a fast-growing startup - You've sat close to GPU spend, model training, or inference workloads

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 The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets Deadline to apply: None. Applications will be received 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: $180,000 — $230,000 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: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC 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 Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 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: 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: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving. The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle. This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery. Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges. Responsibilities Design Systems, Figma & Early Product Quality - Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase. - Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation. - Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability. - .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. - Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start. - Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written. - Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements. Localisation Quality & Testing - Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing. - Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed. - Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality. - Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions. - Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release. Software Engineering & Technical Solutions - Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency. - Build scalable software solutions that support validation of product experiences across design, development, and release stages. - Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support. - Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices. - Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate. Automation, Tooling & Process Improvement - Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows. - Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows. - Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools. - Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams. - Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams. Cross-Functional Leadership - Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals. - Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations. - Influence teams toward a shift-left, design-led quality approach. - Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early. - Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices. - Promote a culture of innovation, technical excellence, and continuous improvement. Qualifications Education BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience. Experience - 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles. - Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges. - Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation. - Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility. - Practical understanding of localisation and internationalisation principles in digital products. - Experience with localisation quality or testing across multilingual products, platforms, or regions. - Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java. - Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools. - Experience with APIs, structured data, system integrations, and modern software development practices. - Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence. - Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models. Soft Skills Excellent written and verbal communication skills. Strong product thinking and problem-solving ability. Comfortable operating across design, engineering, product, and localisation domains. Self-motivated, adaptable, and effective in a fast-paced environment. Strong organisational and stakeholder management skills. Desired qualifications Experience with Figma design systems, component libraries, and design-to-development workflows. Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international launch readiness. Experience in video games, consumer technology, digital entertainment, or large-scale product environments. Fluency in one or more non-English languages is a plus. What We Offer The opportunity to shape next-generation quality, localisation, and design-to-development practices. A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive. Competitive compensation, performance bonuses, and comprehensive benefits. Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence. 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. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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: Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver. We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization. WHAT YOU'LL WORK ON: Team - Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, customer obsession, and continuous improvement Technical and Product Direction - Drive technical and product decisions through design reviews, code reviews, and architectural discussions - Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal - Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users - Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production Cross-Functional Leadership - Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators - Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities - Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) NICE-TO-HAVE: - Experience working with LLM inference in production - Familiarity with underlying concepts like engines, kernels, routing, KV cache management, and speculative decoding

Location: Paris; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As our VP of Global Developer Relations, you’ll be the voice and facilitator of Mistral to the developer, scientific, and technical communities. You’ll build and scale a global DevRel strategy that fosters deep engagement, advocacy, and love for Mistral’s models and technology. Your team will build communities and educate, excite, and empower developers to adopt, innovate, and evangelize Mistral’s technology—whether they’re startups, enterprises, researchers, or open-source contributors. You’ll work closely with Product, Research, Engineering, Marketing, Communications, and more to ensure developers have the tools, resources, and inspiration they need to succeed with Mistral. What You Will Do Build a Global Developer Movement - Develop and execute a global DevRel strategy that connects Mistral and our AI platform effectively with developers, scientists, and technologists. - Create authentic, developer-first engagement—focusing on education, inspiration, and community, with great content and AI tools. - Foster a culture of advocacy where developers naturally champion Mistral in their networks, projects, and conversations. Engage and Inspire the Technical Community - Lead high-impact developer engagement initiatives, including: - Technical content (e.g., tutorials, blog posts, videos, documentation) that helps developers get started, optimize, and innovate with Mistral’s models. - Community programs (e.g., hackathons, meetups, AMAs, Discord/Slack communities) that bring together AI builders, researchers, and enthusiasts. - Evangelism & thought leadership (e.g., conference talks, podcasts, technical deep dives) that showcase Mistral’s unique value and capabilities. - Work with Product and Research teams to translate complex AI innovations into accessible, exciting, and actionable insights for developers. Enable Developer Success, particularly for self-service adoption - Build scalable enablement programs (e.g., onboarding guides, SDKs, APIs, sample projects) that reduce friction for developers adopting Mistral’s models. - Create feedback loops between the developer community and Mistral’s Product/Engineering teams to shape the roadmap based on real-world needs. Scale a World-Class DevRel Team - Hire, mentor, and lead a global team of Developer Advocates, Engineers and Evangelists - with particular strength in Europe and San Francisco - Define metrics and KPIs to measure the impact of DevRel (e.g., developer adoption, community growth, engagement, advocacy). - Lead from the front as a fantastic representative of Mistral at events, in social, and in project communities Drive Open Source & Ecosystem Growth - Champion open-source contributions and collaborative innovation around Mistral’s models. - Partner with startups, enterprises, and academic institutions to accelerate adoption and co-innovation. - Identify and nurture key developer influencers, maintainers, and ambassadors who can amplify Mistral’s reach and impact. WHAT WE'RE LOOKING FOR - Proven leadership in Developer Relations, Developer Marketing, or Technical Evangelism for a B2B technology company, preferably in AI, cloud, and open-source. - Deep technical credibility—ability to engage with developers, scientists, and engineers on their terms (e.g., code, research, architecture). - Passion for community building—a track record of growing and nurturing technical communities (e.g., open-source projects, developer forums, hackathons). - Strong storytelling and communication skills—ability to simplify complex concepts and inspire developers through content, talks, and interactions. - Strategic and operational excellence—ability to scale DevRel globally while maintaining a hands-on, authentic approach. - Collaborative mindset—ability to work across Product, Engineering, Marketing, and Sales to align DevRel with Mistral’s broader goals. Bonus Points If You Have - Experience in AI, machine learning, or large language models (LLMs). - Personally contributed meaningfully to open source projects and communities. - Led global DevRel teams in high-growth, competitive markets. - Personal brand or following in the developer or AI community Experience launching and scaling developer-focused products or tools. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.