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Staff Machine Learning Engineer, Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: - Relevance & recommendation systems (content, search, notifications) - AI-powered discovery & LLM-driven experiences - Content and user understanding & large-scale representation learning - Large-scale ML infrastructure and pipelines What You’ll Do - Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions - Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities - Drive measurable impact on user engagement, discovery, and long-term value - Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities - Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at
Partner Enablement Lead, System Integrators
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Partner Enablement Lead, System Integrators to define and scale how Anthropic enables its SI ecosystem. This role is responsible for translating partnership and product strategy into clear, repeatable programs that help system integrators build, sell, and deliver with Claude. You will own enablement for a portfolio of our most strategic global SIs and set the strategy, operating model, and team that extends that work across the broader service provider ecosystem, from global integrators to regional and specialist firms. This is a highly cross-functional leadership role that combines 0 to 1 building with scaling global programs. You'll work closely with Partnerships leadership and teams across Sales, Applied AI, Product, Marketing, and Enablement to ensure partner-facing initiatives land clearly and drive measurable outcomes. In this role, you will - Define and lead Anthropic's enablement strategy for the global system integrator ecosystem - Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes - Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments - Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches - Develop partner learning pathways and certification delivery models that scale across large practitioner populations - Create high-quality enablement content such as playbooks, solution guides, and technical assets - Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs - Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives - Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness - Build feedback loops that bring partner insights back into enablement, product, and GTM strategy You might thrive in this role if you - 7-10+ years of Partner Enablement, Alliance or Sales experience - Have built and scaled partner enablement or practice development programs in high-growth technology environments - Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice - Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership - Turn complex product and GTM strategy into clear, scalable programs - Are an effective operator who can lead cross-functional initiatives across complex organizations - Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1 - Think in systems, operating models, and tiered coverage rather than one-off efforts - Are technically curious about AI and credi
Enterprise Account Executive, Transportation & Uti...
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 an Enterprise Account Executive, Transportation & Utilities based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's transportation and utility infrastructure organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them improve operational resilience, optimize asset performance, and deliver safer and more efficient services with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's railway operators, airlines, logistics providers, electric and gas utilities, and water infrastructure organizations - Build and execute territory plans, identifying high-value opportunities across national and regional rail groups, major carriers, electric power companies, and municipal utility providers - Lead consultative sales processes with senior executives — including CIOs, CDOs, COOs, and heads of operations and safety — positioning AI as a driver for predictive maintenance, energy management, operational efficiency, and infrastructure resilience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent safety, reliability, and regulatory standards governing Japan's critical infrastructure sectors You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to transportation and/or utility accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with infrastructure-focused organizations by understanding the safety, regulatory, and operational requirements unique to these sectors - Demonstrated ability to navigate the stakeholder ecosystems of asset-heavy industries, building consensus across operations, engineering, IT, and executive leadership with multiple layers of approval - Proven experience exceeding revenue targets by effectively managing pipeline across the long planning and procurement cycles typical of infrastructure organizations - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's transportation and utility sectors combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibilit
Staff AI Engineer - Grafana AI/ML | USA | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: - Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. - Rapid experimentation and iteration: Implement a hig
Management Trainee mit Fokus Business Operations &...
Management Trainee mit Fokus Business Operations & AI at remote control productions. German games industry role. Company category: Developer & Publisher. Job category: BizDev / Sales. Job type: Trainee. Added: 06.06.2026.
Staff AI Engineer | Canada | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Service
Safeguards Enforcement Analyst, Child Safety
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 Safeguards Enforcement Analyst on the Child Safety team, you will be responsible for our child safety enforcement workflows, responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products. This is a deeply operational role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes to ensure reviews are accurate, consistent, and conducted with appropriate support structures in place. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. This work is essential to Anthropic's mission. Child safety is one of our highest-priority harm areas, and the person in this role will have a direct and meaningful impact on protecting children from AI-facilitated exploitation and abuse. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities - Own the day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring - Serve as the primary point of contact for review partners conducting child safety content review, including onboarding, training, quality assurance, and ongoing relationship management - Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for CSAM, CSEM, and related child safety policy violations - Review novel or ambiguous flagged content to drive enforcement decisions and surface policy gaps to the Safeguards policy design team - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale - Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in child safety technology, and use these to inform our workflows - Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership - Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, CSAM/CSEM, or related child protection harm areas &
Staff Machine Learning Engineer, ML Efficiency
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities - Design and build systems that improve the efficiency of ML training and inference workloads. - Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. - Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. - Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. - Build benchmarking frameworks and performance dashboards for training and serving systems. - Optimize distributed training infrastructure, data pipelines, and model serving architectures. - Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. - Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required - BS, MS, or PhD in Computer Science or a related field. - 5+ years of software engineering experience. - Strong proficiency in Python - Profiency in at least one systems language (Go, C++, Rust, or Java) preferred - Experience building distributed systems at scale. - Experience with machine learning infrastructure, training systems, or model serving platforms. - Deep understanding of performance engineering and systems optimization. - Strong debugging and profiling skills. Preferred - Experience with large-scale recommendation, ranking, generative AI, or foundation model systems. - Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark - Familiarity with GPU architectures and performan
Software Engineer, Human Data Interface
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 Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day. Responsibilities: - Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability - Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data - Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods - Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier - Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly You May Be a Good Fit If You: - Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well - Are a strong full-stack engineer with broad experience across the stack - Are very good at building internal tools, including working with users of the tools to understand their needs - Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health - Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective Strong Candidates May Also Have: - Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines - Familiarity with how preference data and reward models are used in AI model training - Experience working with researchers who are internal users/customers - Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows - Strong instincts around system design — building things that evolve gracefully as requirements change - Experien
Senior Editor
Perplexity is seeking a Senior Editor to lead the quality and velocity of everything we publish. Our content spans a range of audiences, channels, and objectives. You will set the editorial bar for excellence and make every writer around you measurably better. If you treat a clunky sentence and a sprawling launch narrative as the same kind of craft, take pride in language without being precious about deadlines, and want to build a world-class editorial function from the ground up, this role is for you. Responsibilities - Own editorial quality end to end. - Reject mediocrity. - Demand clarity. Ensure accuracy. - Be Perplexity. Evolve and enforce our voice. Everything we ship should sound like we shipped it. - Be accountable. Hold objective authority in a sea of subjective opinions. - Plan and manage the editorial calendar. Run prioritization and production for a fast-moving pipeline in a high-growth environment. - Edit at every level. Player-coach plus team owner and stadium sponsor. Move fluidly from high-level editorial vision to developmental editing to line-level copy editing. Deliver feedback that makes the writing and the writer better. - Mentor, elevate, and attract excellent writers. Earn the respect of strong writers by making them stronger. - Make sense of things. Make sense to people. - Build the editorial system. Evolve and own the style guides and workflows. - Work productively across the company. Everyone wants content, and you’re the content. Qualifications - 7+ years in editing, writing, or editorial leadership, with a body of published or edited work that demonstrates exceptional command of language. - High flexibility of tone and mind. You must be able to demonstrate an ability to adapt styles and voices for different channels or audiences. - High competence throughout the editorial stack: developmental editing, copy editing, content planning, and managing production. - A demonstrated track record of mentoring writers and improving the quality of a team's output, not just your own. - Exceptional ability to learn. - Refined judgment on all matters of structure, argument, and voice - A proven eye for narrative in messy, ambiguous, or highly technical material. - Deep familiarity with the rules of grammar, style, and storytelling. - Enough experience in the bullet above that you have a clear perspective on which rules you intend to break and when. - Comfort using AI tools and the ability to articulate exactly where and how you incorporate them into your workflows. - A passion for the truth well-told.
Senior Staff Data Scientist - Consumer Relevance
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation. Responsibilities - Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment - Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction - Design and analyze experiments for relevance features, accounting for challenges unique to networked p
Sales Manager, Nonprofit & Education, EMEA
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. As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market. This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works. The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously. Role Focus This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include: - Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms. - Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes. - Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale. Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes. Responsibilities - Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic - Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself - Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions - Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus - Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond,
B2B Marketing - Spanish Latam Growth Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE - We are seeking a seasoned Growth Marketer to lead our expansion into Spanish-speaking Latam, with a specific focus on Mexico. We need a builder who is comfortable with the "zero-to-one" phase of regional growth. - You will be the local "Source of Truth" for marketing and growth, acting as a creative, an analyst, and an operator all at once. You should be someone who enjoys the complexity of multi-lingual markets and has the drive to implement projects from start to finish while owning the outcome entirely. YOUR RESPONSIBILITIES - Regional Growth Engine: Make sure Spanish-speaking Latam B2B (Mexico especially) grows through aggressive lead generation and brand awareness. - Outbound Strategy: Build and execute complex, multi-language outbound sequences that cut through the noise. - Local Events: End-to-end ownership of local industry events, user conferences, and webinars in the region. - Cross-Functional Synergy: Collaborate with performance marketing on ABM initiatives and localized retargeting. - Analytics & Reporting: Monitor campaign performance, produce executive-level reporting, and recommend data-driven optimizations. - Localization & Messaging: Adapt ElevenLabs’ global voice to resonate deeply with the Latam business cultures. REQUIREMENTS - Native Spanish speaker. - Fluent English speaker. - Ownership Pedigree: You have implemented mark
Solutions Engineer - India
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating
Senior Scientific Software Engineer, AI Simulation
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations. As we continue to expand our portfolio of capabilities – spanning physics-based simulations, large-scale data and knowledge graphs, machine learning, and massively parallel computing – we require reliable and efficient software to drive it. We are looking for an experienced engineer who can enhance our team’s work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers. This should be founded in a good understanding of the technical challenges and scientific concepts in the drug discovery space, and deep experience building efficient and maintainable implementations of AI- and physics-based simulation software. KEY RESPONSIBILITIES: - Maintain and extend existing scientific software packages, and drive the full lifecycle of new ones: - Architect and implement cutting-edge scientific and ML software alongside subject matter experts - Adopt current practices and ensure stability through testing - Work closely with the Engineering Team to deploy these modules into the SandboxAQ’s simulation platform: - Manage dependencies, containerize, and integrate software into CI/CD pipelines - Integrate with the compute and data backends - Define API endpoints and schemas - Collaborate with the engineering team to build UI components - Maintain and support production deployments of scientific software packages - Foster a work culture of curiosity and kindness ESSENTIAL SKILLS & EXPERIENCES: - Bachelor's degree in a relevant scientific discipline (for example physics, chemistry, biology, or computer science) - At least 5 years professional experience in software development, designing and developing well-maintained software systems and collaborating with domain experts to design solutions that meet their needs - Strong Python proficiency including experience with numeric and performance libraries like Numpy - Experience with ML libraries like PyTorch - Experience with relevant development tools and environments (git, Unix/Linux, cloud-based platforms, containerization) - Experience using LLM tools and coding harnessed to build quickly while producing understandable, secure, maintainable code that’s a strong foundation for long-term development. - Ability to rapidly write good quality code while not letting the perfect become the enemy of the good - Ability to devise, communicate internally and own technical roadmaps, in a self-directed environment - Desire to work in a fast-paced team with diverse professional experiences and viewpoints HIGHLY DESIRED SKILLS & EXPERIENCE: - Experience developing software for scientific applications - Familiarity with open source scientific and molecular libraries such as OpenMM, RDKit, Scikit-learn - Experience with
Vice President, Head of IP and Strategic Transacti...
Your work will change lives. Including your own. The Impact You’ll Make Recursion is seeking a Head of Intellectual Property and Strategic Transactions to shape the company’s IP strategy and support high-value business development, licensing, collaboration, and platform transactions. We recognize that intellectual property is core to our remit: advancing a portfolio of differentiated medicines across wholly owned and partnered programs, enabled by an AI-native platform integrating biology, chemistry, and clinical development. The opportunity is vast and crucial, working within the intersection of law, science, and technology to drive the future of therapeutic discovery. The ideal candidate has deep experience with pharmaceutical patent strategy and complex life sciences transactions and is comfortable operating in a fast-moving, science-driven environment. The successful candidate will collaborate with colleagues on IP protection for chemical matter, platform technology, and other discoveries as well as forming deep partnerships with our Business Development and Alliance Management teams. The role must possess integrity and sound judgment, be an analytical and creative thinker, have exceptional oral and written communication skills, and be proficient in time-management and task prioritization. In this role, you will: Patent Strategy & Oversight - Develop and lead patent prosecution and enforcement strategy to protect the company’s chemical and technological innovations - Oversee global patent portfolio development in pharmaceuticals, including prosecution and coordination with outside counsel - Identify emerging IP risks and opportunities in partnership with scientific and business leaders - Provide strategic guidance on patentability, freedom to operate, and IP risk to inform R&D and business decisions - Interpret evolving IP laws and competitive dynamics to shape portfolio and enforcement strategy Strategic Transactions - Advise on and support complex life sciences transactions, including collaborations, licensing, and other strategic deals - Lead negotiation and execution of key agreements in alignment with company objectives - Conduct and guide IP diligence for in-licensing and out-licensing activities - Ensure IP considerations, risks, and obligations are effectively integrated into transactional strategy - Advise internal stakeholders on IP-related risks, compliance, and business implications across partnerships while promoting strong IP practices and innovation awareness The Team You’ll Join You will be joining a dynamic team of attorneys, stock administration professionals, and an IP paralegal, who you will manage. The team works closely and collaboratively with one another on overall legal strategy, departmental budget, projects, and professional development. The team relies on a communicative and supportive atmosphere to enable nimble advice and prioritization aligned with business goals. The Experience You’ll Need - 10+ of experience drafting and prosecuting patent applications in the life sciences in the US and internationally at a law firm a
Senior/Principal Platform Engineer, ML Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Will: - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. You Have: - 5+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - Proficiency in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Experience with the end‑to‑end ML model lifecycle such as model serving, training, mod
Senior Data Scientist, Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: - Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations - Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests - Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly - Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact - Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes - Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: - Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research - For M.S. holders: 5+ years of industry experience in applied science or data science roles - For Ph.D. holders: 4+ years of industry experience in applied science or data
Real Estate Program Coordinator
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Real Estate Program Coordinator to partner with Anthropic's Global Head of Real Estate & Workplace. This is a high-impact, execution-focused role that keeps Anthropic's rapidly growing global real estate portfolio moving. The Coordinator owns the tactical workstreams behind every new office and every active transaction: initial security deposit and first-month rent wire transfers, monthly rent PO setup with AP, Letters of Credit, and the day-to-day triage of activity coming from our broker team. The ideal candidate is highly organized, detail-obsessed, comfortable juggling many concurrent workstreams across global time zones, and brings a strong service mindset paired with crisp written communication. Reporting directly to the Global Head of Real Estate & Workplace as an individual contributor, you will be the operational engine that ensures our real estate program executes flawlessly as we scale. Key responsibilities New Office Setup & Transaction Execution - Own the work of setting up new offices end-to-end, including initial security deposit and first-month rent wire transfers in partnership with Finance, Accounts Payable, and local brokers. - Manage end-to-end execution of Letters of Credit, including intake forms, supporting documentation, signature collection; review checkpoints with Accounts Payable and the Head of Real Estate before submission. - Track required documentation for international transactions (Articles of Incorporation, Company Tax IDs, Powers of Attorney, passports, banking details) and coordinate with Legal to source missing items. - Maintain real-time status of all open transactions and provide weekly updates to the Head of Real Estate and broker partners. Ongoing Rent & AP Operations - Partner with Accounts Payable to set up purchase orders for monthly rent payments across the portfolio, ensuring accurate amounts, terms, and lease references. - Process and reconcile vendor invoices for rent, TI reimbursements, capital contributions, and broker fees; partner with AP and Corp Accounting on processing and follow-through. - Update and reissue POs as leases are amended, renewed, or escalated. Broker & Portfolio Triage - Serve as the day-to-day operational point of contact for the broker team, triaging incoming activity, requests, and updates across the global portfolio. - Surface decisions needed from the Head of Real Estate, and keep the team focused on what matters most each week. - Track action items, follow-ups, and open questions across every active broker workstream so nothing falls through the cracks. - Build and maintain the Real Estate pipeline tracker in Airtable, including views, automations, versioning, and stakeholder-facing reporting. - Track required documentation across the portfolio (executed leases, amendments, LOIs, NDAs) and ensure executed copies are filed and circulated to relevant partners. Cross-Functional Coordination & Communication</stro
Staff Data Scientist, Growth
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You'll be joining the part of Stripe's data science organization that focuses on Growth and Go-to-Market efforts. Sample projects include, but are not limited to: - Leveraging a wide variety of tools such as experimentation, forecasting, personalization, and algorithmic recommendations to enable businesses to accelerate their journey to accept payments on Stripe, and find additional Stripe financial products that they need to grow their business - Delivering comprehensive ROI analysis for Stripe's growth marketing spend through rigorous measurement methodologies (marketing mix models, multi-touch attribution, lifetime value, long-term holdouts, etc.) You'll be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance and Strategy teams, developing both intelligent data products and insights, and creating end-to-end systems and measurement plans for accelerating Stripe's overall growth engine. What you'll do Responsibilities - Provide direction to cross-functional partners on business strategy for enabling Stripe's growth, leveraging your expertise in causal inference and experimentation, modeling, analytical insights, and data foundations. - Provide senior technical direction to data teams on horizontal technical areas, including experimentation, attribution, forecasting, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. - Identify broad company problems and opportunities that can be tackled through data science. Work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business. - Contribute to the overall strategy, roadmap, and vision of your data science team and organization. - Evangelize and inspire best practices across data science. Lead by example to build a culture of craftsmanship and innovation. - Provide mentorship to our data science talent to help them grow technically and professionally. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 10+ years of data science experience or equivalent combined industry and research experience in a quantitative field - B.S., M.S., or Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.) - Experience with modern causal inference techniques - Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain expertise to influence tech roadmap planning and execution - Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive busin
AI Creative Producer
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE AI-generated content is becoming a dominant format across social, creator, and product marketing. Models are evolving at high speed, new modalities unlock new creative possibilities, and audiences now expect a level of quality that traditional production can’t keep up with. We’re currently producing content that reaches millions of people every month, but we’re in a fast-growing market, and we’ve only begun to show what ElevenLabs’ creative tools can do. We’re hiring an AI Creative Producer to join our Creator Growth team to help scale our content production. You’ll help define what great AI-generated content looks like — from cinematic visuals and short films to social assets that inspire millions of creators. Your mission is to prototype workflows, test models, and push the creative boundaries of ElevenLabs’ AI tools. You’ll work closely with our social and growth teams to produce content that drives awareness, teaches creators what’s possible, and showcases the future of AI-powered storytelling. REQUIREMENTS We’re looking for a uniquely creative and technically fluent individual who thrives at the intersection of storytelling and generative media. You’ll thrive in this role if you: - Have deep experience prompting for image, video, and audio models — with a strong portfolio of examples. - Have a sharp design eye and can distinguish between goo
Enterprise Account Executive, Conglomerate
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 an Enterprise Account Executive based in Seoul, you'll lead Anthropic's engagement with Korea's largest conglomerate customers. You'll own the full sales cycle from prospecting to closing, working across a group's holding company and affiliates to drive adoption of safe, frontier AI technology. Responsibilities - Own and exceed revenue targets across a portfolio of major conglomerate groups - Map each group's structure - holding company, key affiliates, and in-group SI or services arms - to find where a win can expand across the group - Build relationships with senior stakeholders at both the group-strategy level and within individual affiliates - Navigate group governance: know which decisions need holding-company alignment and which affiliates can move independently - Work with internal teams (Product, Engineering, Applied AI, Partnerships) to tailor solutions to each group's standards and requirements - Turn single-affiliate wins into multi-affiliate or group-wide expansion You may be a good fit if you have - 8+ years of enterprise sales experience in Korea, with a track record selling into large conglomerate group accounts - Real understanding of conglomerate group structure and governance — holding companies, affiliate hierarchies, group-strategy offices, and in-group supplier/SI relationships - Experience managing multi-affiliate, multi-stakeholder sales cycles - A track record of expanding a single account into a multi-affiliate or group-wide deal - Excellent communication skills in both Korean and English - A passion for AI built and deployed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive benefits - Hybrid work model - Access to cutting-edge AI technology and world-class research team 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</p&
Staff+ Application Security Engineer
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 Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: - Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it - Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks - Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases - Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint - Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: - Hands-on application and infrastructure security experience, including cloud and containerized environments - Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts - Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode - Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec - Clear technical communication with both engineers and leadership Preferred qualifications: - 7+ years in application security, security engineering, or security-focused software engineering - Already use LLMs as a core part of how you work, with opinions about where they help and where they don't&l
Account Executive, Public Sector
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 an Australia Public Sector Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI within the Australian government space, establishing and growing our presence in this strategic market. You'll leverage your consultative sales expertise and deep understanding of the Australian public sector landscape to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help define our market entry strategy and value proposition for the Australian public sector. Responsibilities - Lead Anthropic's market entry and expansion in the Australian public sector, establishing our presence and building relationships with key stakeholders across government departments and agencies - Own the full sales cycle for Australian public sector opportunities, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships - Navigate the unique procurement requirements, security standards, and compliance frameworks specific to Australian government technology adoption - Collaborate with policy teams to ensure alignment with Australian government AI strategies and initiatives - Design and execute innovative sales strategies tailored to the Australian public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers - Provide market intelligence and feedback to product teams to ensure our offerings meet Australian public sector requirements and use cases - Build and maintain relationships with relevant systems integrators and technology partners in the Australian market - Develop and document best practices for Australian public sector engagement, creating playbooks that can scale our presence in the market - Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities You may be a good fit if you have: - 10+ years of enterprise sales experience in the Australian public sector, with a proven track record of driving adoption of emerging technologies - Deep understanding of Australian government procurement processes, security requirements, and technology adoption frameworks - Security clearances required - Demonstrated ability to build and grow new market segments, with potential to develop into a leadership role - Strong track record of managing complex sales cycles and securing strategic deals in the public sector - Experience navigating multiple stakeholders across government departments, building consensus and providing innovative solutions - Excellent communication skills and ability to present confidently to all levels, from technical teams to senior government officials - Strategic thinking combined with hands-on execution capabilities - Ability to work independently while maintaining strong collaboration with global teams</li&g
Principal Software Engineer - ML Platform Engineer
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The AI Efficiency team at Riot Games builds the platforms, tools, and technical foundations that help Rioters safely and effectively use AI to accelerate how we work. As these systems become increasingly important to creative, product, and development workflows across Riot, we need platform engineering that can keep pace with growing scale, complexity, and expectations. As a Principal Platform Engineer on the AI Efficiency team, you will design, build, and evolve the internal platforms, automation systems, and operational guardrails that make our AI services and developer workflows more scalable, reliable, and easy to use. You will partner closely with software engineers, infrastructure teams, and cross-functional stakeholders to improve developer experience, platform reliability, deployment safety, observability, and operational excellence across a growing portfolio of AI services, internal tooling, and supporting infrastructure. You will also help the team evaluate and operationalize a new generation of AI-native engineering workflows, including agent-assisted code review, automated bug triage and remediation, AI-driven performance and security analysis, browser-based UI validation, and other emerging automation patterns that can safely augment human judgment. This role is not only about building better platforms for today, but also about shaping how Riot adopts the next wave of intelligent engineering tooling responsibly and effectively. Current platform-engineering guidance emphasizes product-minded internal platforms, self-service, and golden paths, while modern browser automation tooling now explicitly supports AI-agent workflows and accessibility-focused testing. You’re right for this role if you enjoy making complex systems easier to use and operate, reducing cognitive load for engineers, building paved roads instead of one-off solutions, and improving reliability through strong platform design. You are energized not only by hard infrastructure and operational problems, but also by the opportunity to responsibly bring new AI-native automation patterns into real engineering workflows. Responsibilities: - Design, implement, and evolve internal platform capabilities that make AI Efficiency services easier to build, ship, observe, secure, and operate - Build and maintain self-service workflows, reusable platform abstractions, and golden paths that improve developer productivity while preserving reliability, security, and governance - Improve platform reliability through better monitoring, alerting, observability, deployment safety, release practices, and incident readiness - Define and operationalize service health indicators, SLIs, SLOs, and related reliability metrics that help teams make informed tradeoffs between reliability, velocity, and cost - Build automation that reduces operational toil and improves mean
Infrastructure Security Engineer
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 Lovable https://modal.com/blog/lovable-case-study, 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 recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU'LL DO: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements REQUIREMENTS: Core Experience - Experience securing cloud-native infrastructure and distributed systems in production - Background in infrastructure, backend, or security engineering - Experience working in multi-tenant or high-scale environments Technical Depth - Strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - Experience designing or securing isolation mechanisms in multi-tenant systems - Solid understanding of authenticat
Physical Design Engineer
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a highly skilled Physical Design Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators. You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality. In this role, you will: - Develop, build and own tools, flows and methodologies for physical implementation - Own physical implementation of floorplan blocks from floorplanning to final signoff - Collaborate with RTL designers to drive optimal block implementation solutions - Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners Qualifications: - BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development - Demonstrated success in taping out complex silicon designs - Hands-on experience with block physical implementation and PPA convergence - Strong coding experience with python, bazel, TCL - Strong experience building physical design tools, flows and methodologies - Strong understanding of microarchitecture, RTL design, physical design, circuit design, physical verification and timing closure. - Deep familiarity with industry-standard tools and flows for physical synthesis, PNR, LEC and power estimation Bonus: - Experience with AI or HPC-focused chips - Experience with optimizing PPA for high performance compute cores - Hands-on experience with top-level design methodologies To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Director, Clinical Pharmacology
Your work will change lives. Including your own. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. - Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external st
Product Manager - Platform, Applied AI/ML
Do you want to use Data and AI to creatively solve core game design problems, delighting users today and crafting the future of mobile gaming? Join Niantic Games, now part of the Scopely family, as a Product Manager on the Applied AI team. You will lead, innovate, and build outstanding AI-driven experiences across our suite of products, including Pokémon GO, Monster Hunter Now, and Pikmin Bloom. Unlike a traditional platform role, you will partner directly with Game Designers, Producers, and ML Engineers to deploy AI features that directly touch the player—from personalized game loops to intelligent, adaptive gameplay. Responsibilities: - Identify Gameplay Opportunities: Work with Game Producers and Designers to identify friction points or engagement opportunities where AI/ML can provide a unique solution (e.g., dynamic difficulty, personalized rewards, generative content). - Drive the "AI for Fun" Roadmap: Create the vision and strategy for how Applied ML enhances the core game loop, ensuring features optimize for fun and retention, not just model accuracy. - Cross-Discipline Translation: Act as the bridge between the ML Engineering team and the Game Teams. Translate "Game Design Intent" into "ML Requirements" and vice versa. - Execution & Experimentation: Define success metrics that blend technical performance (latency/accuracy) with game KPIs (retention/DAU). - Leverage the Ecosystem: Collaborate with Scopely’s central tech teams to adopt and adapt state-of-the-art ML technologies for Niantic’s location-based specific needs. Qualifications: - 4+ years of Product Management experience, preferably in Gaming, Consumer Mobile, or Applied ML. - 2+ years of professional experience in Machine Learning, Data Science, or Data Analytics - Passion for Games: A deep understanding of game mechanics (F2P, RPG, or Location-Based) and an intuition for what makes a game "fun." - Technical Fluency: Experience working with Data Science or Machine Learning teams. You don't need to code, but you must understand the capabilities and limitations of LLMs, Reinforcement Learning, and Predictive Modeling. - Adaptive Learner: Proven track record of picking up new domains quickly. You are comfortable stepping out of your comfort zone to tackle undefined problems. - Collaborative Spirit: Experience managing trade-offs between creative desires and technical reality. Plus If... - Experience launching ML-driven features in a live service game (e.g., matchmaking, bots, personalization). - Hands-on experience with Generative AI tools and workflows in a creative production environment. - Experience managing platform services that have direct end-user UI components (e.g., Social, Identity, Payments). For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $107,500 -
Lead Counsel, Product and Intellectual Property
Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: - Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. - Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. - IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. - Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. - Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. - Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. - Training: Develop and deliver IP and data licensing training to enhance Scale's compliance culture. Ideally you'd have: - Experience: 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department (ideally product counseling within a high-growth technology company). Experience advising on broader product or regulatory matters is a plus. - Education: JD and active membership in at least one U.S. state bar (California preferred) in good standing. - Strategic Thinking: Ability to think strategically at a high level and from deep in the details to drive complex problem-solving and develop creative, business-forward solutions. - Risk Calibration: Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences. - Collaboration : Roll-up-your-sleeves attitude to tackle projects large and small with a low-ego, collaborative approach across the organization. - Agility and Organization: Ability to think quickly in a fast-paced environment with excellent organizational and communication skills. - Technical Fluency : Deep interest in artificial intelligence, generative AI, and machine lea
Brand Marketing
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Brand awareness and affinity are the force multipliers behind every GTM motion. As we scale ElevenLabs across products and use cases, we need a Brand Marketer who can take our brand narrative and amplify it through high-impact partnerships and activations. You'll own the execution and orchestration of our brand partnerships and activations, running campaigns that elevate ElevenLabs' presence across all audiences. Think: Sports partnerships, popup shops, unique OOH, creator partnerships, online interactive experiences, and more. This is hands-on, execution-focused work. You'll develop partnership strategies and creative campaigns, build the assets field teams need to activate partnerships, manage multi-million dollar partnership budgets and timelines, and measure the impact. You'll partner closely with product marketing, comms, and design - orchestrating across teams to ensure activations hit hard and stay on-brand. REQUIREMENTS - 5+ years in brand partnerships, activation marketing, or sponsorships at high-growth technology or SaaS companies (agency or in-house). - Strong project management skills. You're comfortable managing complex initiatives with multiple dependencies across contracts, budgets, timelines, creative refinement, vendor management, live execution. - Excellent copy writing skills. You can write a compelling and memorable tagline f
Data Scientist, Developer Productivity
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 You'll partner with Developer Productivity engineering leadership to define what "developer productivity" means in an AI-first org and to set the strategy for how Anthropic measures, understands, and improves it. This is a space where the playbook doesn't exist yet: AI-assisted development is reshaping how engineers work faster than anyone can measure, and last quarter's answer is already suspect. You'll decide which questions are worth asking, build the evidence to answer them, and stay ready to revise when the ground shifts again. You'll own the data strategy end-to-end: which metrics earn the org's trust, which investments to push for, which assumptions to challenge — including your own. The space rewards people who hold conclusions loosely, instrument early, and update fast when the data disagrees with the narrative. This role sits at the intersection of data science, developer experience, and frontier AI, with Anthropic's own teams as your users. Key responsibilities - Lead ambiguous, high-stakes investigations where the question isn't yet well-formed — from "is Claude making engineers faster?" to "what does 'faster' even mean here?" - Treat findings as provisional in a space that changes month to month. Bias toward instrumenting first, collecting evidence broadly, and revising the team's priors as the picture sharpens - Partner with Developer Productivity engineering leadership to set the team's measurement and research agenda — what to study, what to build, what to stop - Define the metrics framework for developer productivity in an AI-augmented org, and drive its adoption as the basis for tooling and infrastructure investment decisions - Design and run experiments on internal tooling and workflow changes; build the causal evidence base for what actually moves productivity - Influence engineering, infrastructure, and product leadership with data. Push back when the data doesn't support the prevailing narrative, and say so plainly when it doesn't support yours either <li class="font-claude-response-body whitespace-normal break-words pl-2" data-source
Revenue Strategy & Operations
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for someone to join our team in Revenue Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. Each Revenue Strategy & Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives
Staff AI Engineer | US | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You’ll Be Doing: Agentic Tool Development - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls
Business System Analyst Lead, Opportunity Accelera...
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 Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership. We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works. Key responsibilities - Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy - Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks - Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on - Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use - Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline - Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists - Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification - Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team - Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling - Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team Minimum qualifications &
Developer Community Growth
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You'll be the face of ElevenLabs to the developer community. This is a speaking-first role- most of your time will be out in the world presenting, but a portion of your work will be meeting developers where they already are. We are looking for someone who is equal parts compelling on stage and credible in a terminal. You'll travel to developer conferences and meetups to give talks and run demos, and you'll proactively pitch sessions to events we don't sponsor, not just the ones we do. You'll own our developer-conference sponsorship pipeline end to end: deciding which events are worth our presence, prioritizing by leverage, and managing the logistics and budget behind them. Between events, you'll be active in our Discord and other developer spaces (Reddit and beyond) — answering questions, building rapport, and routing what you hear back to our product teams. You'll go deep on ElevenAPI and ElevenAgents, building the example and demo code that makes a talk land. The goal isn't to ship production code; it's to move developers from "here's how to use this" to "here's why you'd build with ElevenLabs." REQUIREMENTS - A proven public speaker with a track record of technical talks at meetups and conferences — video recordings of past talks are required to be considered. - A strong technical communicator who can take a complex API and make it click for a
Technical Docs Writer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re seeking a detail-oriented Technical Docs Writer who can take complex technical concepts and transform them into easily understandable, user-friendly developer documentation. As the company is growing, your contributions will have a significant impact on the way our products are communicated, both in the enterprise and open source community. You’ll work closely with our engineering, product, and customer support teams to produce documentation that supports our developers, customers, and partners. - Product Documentation: Write and maintain user guides, API documentation, technical specifications, and other product-related content. - Collaborate with Teams: Partner with engineers, product managers, and designers to gather information and ensure accurate documentation of features and updates. - Improve Documentation Standards: Help establish and improve documentation processes and best practices across the company. - User-Centered Writing: Write clear, concise, and accurate documentation aimed at various audiences, from developers to non-technical users. Ability to maintain a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules. - Content Review: Edit and review documentation produced by other team members to ensure clarity, accuracy, and consistency. - Continuous Improvement: Continuously update and improve documentation as new product features are developed or existing ones are updated. How to be successful in this role - Experience: 5+ years of experience in technical writing - Writing Skills: Exceptional writing and editing skills with the ability to simplify complex technical concepts. Experience with docs as code. - Technical Knowledge: A basic understanding of software development, APIs, and web technologies. Familiarity with common programming languages and development tools is a plus. - Collaboration: Strong communication skills and the ability to work cross-functionally with engineers, product managers, and other stakeholders. - Tools: Experience with documentation tools such as Markdown, Confluence, GitHub, or similar platforms. Familiarity with version control systems is a plus. - Attention to Detail: High attention to detail, ability to manage multiple tasks, and meet deadlines in a fast-paced, dynamic environment. - Bonus: Experience in a startup environment or at a Series A/B tech company is a plus. Compensation - Annual salary range: $115,000 - $170,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based
Machine Learning Engineer, CX Intelligence
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: - Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. - Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. - Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. - Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. - Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. - Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture. Required Skills and Experience: - 3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously. - Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar). - Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent). - Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job ID: P77545 Pay Transparency Notice: The target annual base salary
Enterprise Account Executive, Financial Services &...
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 an Enterprise Account Executive, Financial Services & Insurance based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's financial services and insurance organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, strengthen risk management, and enhance customer experiences with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major FSI accounts and expanding existing relationships across Japan's banks, insurers, asset managers, and fintech companies - Build and execute territory plans, identifying high-value opportunities across megabanks, regional banks, life and non-life insurers, and diversified financial groups - Lead consultative sales processes with senior executives — including CIOs, CDOs, Chief Risk Officers, and compliance leaders — positioning AI as a driver for digital transformation, regulatory compliance, and improved customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent regulatory, security, and data governance requirements of the FSI sector You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to financial services and insurance accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with FSI organizations by understanding sector-specific regulatory and compliance frameworks and crafting compliant solutions - Demonstrated ability to navigate FSI stakeholder ecosystems, building consensus across IT, risk, compliance, and business operations teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across the varying budget cycles and fiscal timelines of large financial institutions - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's FSI sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer<
Enterprise Account Executive, Manufacturing
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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to manufacturing organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturing brands. You'll leverage your consultative sales expertise in the manufacturing sector to propel revenue growth while becoming a trusted partner to manufacturing stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in production, supply chain, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with manufacturing decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the manufacturing sector. Navigate complex manufacturing organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to manufacturing procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze manufacturing market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within production teams, engineering departments, and operations centres. Collaborate cross-functionally to differentiate our offerings for manufacturing applications - Navigate complex manufacturing stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying manufacturing market needs. Provide insights that strengthen our value proposition for manufacturing - Continuously refine the manufacturing sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies. - A track record of managing complex sales cycles within manufacturing organisations and securing strategic deals by understanding both technical requirements and manufacturing use cases - Demonstrated ability to navigate manufacturing organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within manufacturing procurement frameworks and polici
Senior Data Scientist
Senior Data Scientist at JustPlay. German games industry role. Company category: Game Tech / Tools. Job category: Business Intelligence / Data. Job type: Full-Time. Added: 13.06.2026.
Field Services Engineer
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 Your primary mission is network operations: deploying and maintaining network infrastructure, overseeing smarthands vendors, and owning the physical infrastructure lifecycle from install through decommission. You’ll also flex into other site work as the network infrastructure team needs you. This isn’t a maintenance gig; you’ll be building the processes, playbooks, and operational discipline that the team scales on. You’ll work across sites, travel regularly, and have a direct impact on the infrastructure that powers Claude. Responsibilities - Own network infrastructure deployment, maintenance, and bringup across sites - Oversee outside plant and long-haul fiber optic repair vendors: manage dispatches, validate work quality, and ensure SLA compliance - Execute network device installation, configuration validation, and commissioning support - Own RMA processes end-to-end: triage, swap, ship, track, close - Manage spares inventory and coordinate logistics across sites - Conduct physical asset auditing and cradle-to-grave lifecycle tracking - Coordinate with vendors for outsourced work and hold them accountable - Build repeatable processes and playbooks that scale with the team - Support various site deployments like: rack-and-stack, commissioning, forklift, decommissioning as needed - Travel up to 40 - 60% to sites across the U.S. You may be a good fit if you - Have 5+ years (3+ considered for the right candidate) of hands-on experience in field engineering, network operations, or telecom infrastructure - Understand fiber optic systems well enough to oversee vendor work: you can validate splicing, testing, and repair quality without necessarily doing it yourself - Are familiar with network hardware deployment (switches, routers, optics) - Have managed RMA workflows and spares logistics across multiple sites - Hold relevant certifications or are willing to obtain them (OSHA 10/30, BICSI, fiber certifications, confined space) - Can work independently in the field with minimal supervision: you know how to figure it out, and are not afraid to reach out and ask questions when needed - Have experience building processes from scratch, not just following them - Thrive in ambiguity and move fast without waiting for perfect information - Have a bias toward action: you’d rather do than talk about doing - Communicate clearly and directly, especially when flagging risks or blockers <div class="content-pay-transparency">
Software Engineer, Monetization
ABOUT THE ROLE We are scaling personalized AI to billions of users and monetization is at the core of making this vision sustainable. Our monetization team is reimagining how users interact with virtual currency, subscriptions, and premium features in ways that feel intuitive, rewarding, and fun. We’re looking for a product engineer who thrives at the intersection of core product, commerce, and user experience—someone excited to design and build systems that not only drive revenue but also enhance user delight. If you have experience with subscriptions, ads, virtual economies, or in-app purchase flows, and care deeply about building high-quality user experiences we’d love to work with you. WHAT YOU’LL DO - Build and optimize user-facing features across mobile and web that power payments, subscriptions, and in-app purchase flows. - Design and experiment with monetization surfaces, from virtual currency systems to premium upsells to advertising. - Partner closely with design and product to create delightful, performant, and trustworthy purchase experiences. - Collaborate with data science to define monetization success metrics, run experiments, and analyze outcomes. - Work with backends to design scalable, reliable systems for payments, entitlements, and transactions. - Maintain a high bar for UI/UX polish, performance, and privacy in sensitive user flows. - Help shape the company’s approach to monetization experimentation, including frameworks for A/B testing and iteration velocity. WHO YOU ARE - Experience in consumer products with monetization, IAP, or subscription flows. - Deep understanding of Typescript, React, React Native, Tailwind, HTML, and modern front-end best practices. - Comfortable contributing to backend services, ideally with Python or Golang, especially for payments or commerce systems. - Demonstrated experience shipping user-facing features that drove measurable monetization or engagement outcomes. - Proven ability to thrive in a fast-paced environment, balancing iteration speed with quality and reliability. - Excellent communication and collaboration skills across engineering, product, design, and data. NICE TO HAVE - Background in gaming, virtual currencies, or digital goods ecosystems. - Prior experience with payment processors, subscription platforms, or marketplace ecosystems. - Passion for user psychology, reward systems, and designing engaging monetization loops. - Exposure to startup or zero-to-one product development environments. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Data Center Hardware Operations Lead
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 the Hardware Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center hardware. You will be accountable for all regional data center physical operations including material movement, physical deployment, bring-up, maintenance, and incident response for complex network and high performance compute platforms. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: - Define the Hardware Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting. - Oversee third-party delivery and bring-up of network and compute systems from material delivery through QA testing, handover to production, and ongoing operations and maintenance. - Drive development of tools and processes in support of operations workflows, traceability, and vendor coordination. - Develop innovative approaches to improve time to market & equipment availability for data center hardware. - Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes. - Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: - Have 7+ years of experience in data center operations as a manager, engineer, technical lead or related role. - Can demonstrate a proven track record overseeing a portfolio of mission critical systems. - Are a subject matter expert in operational processes including deployment, maintenance, material movement, and warehousing. - Can demonstrate subject matter expertise common data analytics/dashboarding tools such as PowerBI, Atlassian Analytics, Tableau, or similar. - Are experienced in third-party partner relationship management. - Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 10+ years of experience managing operations and logistics for large scale data centers. - An understanding the unique requirements of AI/ML workloads, including power, cooling, and network connectivity - Experience in supply chain management including bill of material definition, sourcing
Staff Software Engineer, Accessibility
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 Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The UI Platform team owns the foundational layer that makes Claude usable for every person who relies on it: the shared components, primitives, automated testing, and tooling that let every other product team at Anthropic ship accessible experiences quickly, reliably, and with confidence. As a Software Engineer on this team, you'll be hands-on designing and shipping accessible shared components and design-system-level abstractions, building the automated accessibility testing layer that catches regressions across surfaces, and improving the build, deploy, and testing systems that keep Claude.ai conformant across surfaces. Your work will directly shape how fast teams across Anthropic can ship accessibly—and how reliable their experiences are for users who rely on assistive technology. As we innovate new Claude products, we have an opportunity to lead the field in designing them in an accessible way. This is a great fit if you care deeply about accessibility and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make every feature accessible. Responsibilities - Shape the definition of how AI products should be accessible - Design and publish accessible component primitives, libraries, and abstractions used across Anthropic's web and mobile surfaces - Integrate accessibility into product workflows so standards are met by default rather than retroactively remediated - Develop automated testing and agentic scanning infrastructure that catches accessibility regressions across surfaces - Partner with product teams to resolve accessibility issues and prioritize the most impactful work - Maintain documentation and tooling that make accessible engineering approachable You may be a good fit if you - Have 7+ years of software engineering experience, with significant time spent building accessible products, shared platforms, or developer tools that other engineers rely on - Have strong practical skills in modern web technologies (React, TypeScript or comparable frameworks) - Have hands-on familiarity with WCAG 2.2 AA, ARIA Authoring Practices, and HTML semantics - Have experience testing with assistive technology — screen readers (VoiceOver, NVDA, JAWS, TalkBack), keyboard-only navigation, magnification, voice control - Care about developer experience and have a track record of building things that make other engineers more productive - Have solid instincts around accessibility, reliability, and quality—and enjoy operationalizing those instincts in production systems - Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners - Pick up slack, even if it goes outside your job description Strong candidates may also have experience with &l
Partnerships Lead Southern Europe
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. Responsable des partenariats AWS, Europe du Sud À propos du poste Anthropic recrute un responsable des partenariats AWS pour piloter et développer notre stratégie de co-vente AWS en Europe du Sud. Il s’agit de notre deuxième recrutement dédié au GTM pour AWS dans la région EMEA, une opportunité rare de définir le modèle de collaboration commerciale entre Anthropic et AWS dans la région — à partir de zéro. Vous représenterez Anthropic auprès des équipes commerciales d’AWS en Europe du Sud. Vous développerez le pipeline d’opportunités commun, mènerez des actions de co-vente auprès des grands comptes et façonnerez la manière dont la technologie IA de pointe atteint le marché dans le cadre de l’un de nos partenariats les plus stratégiques. Vous évoluerez avec peu de structure locale en place, et c’est précisément l’enjeu. Vous définirez la stratégie, influencerez les parties prenantes des deux organisations et ferez évoluer un partenariat naissant en un véritable moteur de croissance. Il s'agit d'un rôle à fort impact, de création ex nihilo, pour quelqu'un qui s'épanouit dans l'ambiguïté, qui possède une solide expérience des partenariats cloud et qui souhaite contribuer à la commercialisation de l'IA de pointe de manière sûre et responsable. Principales responsabilités : - Prendre en charge les actions de co-vente AWS et la stratégie GTM dans l’Europe du Sud, notamment en France, en Italie, en Espagne et sur les marchés environnants - Établir et entretenir des relations de confiance avec les dirigeants et les équipes de terrain des organisations partenaires et commerciales d'AWS dans la région - Élaborer et exécuter des plans d'affaires conjoints, des stratégies de co-vente et des programmes d'activation adaptés aux marchés du Sud de l'Europe - Développer le pipeline d’opportunités, contribuer à son accélération et générer des revenus via AWS, en assurant les prévisions et l’atteinte des objectifs régionaux - Collaborer étroitement avec les équipes commerciales, marketing partenaires, marketing produits et partenariats internationaux d’Anthropic afin d’aligner l’exécution régionale sur la stratégie globale - Concevez et organisez des engagements clients, des moments marketing et des activités commerciales conjoints afin d'accélérer l'adoption d'Anthropic sur AWS - Fournir des informations sur le marché et une analyse concurrentielle aux équipes produit et GTM afin d'orienter notre positionnement dans la région - Animer des revues d'activité régionales avec la direction régionale d'AWS et les parties prenantes internes Qualifications requises : - Expérience en matière de partenariats stratégiques, de partenariats cloud ou de ventes aux entreprises dans le secteur des technologies d'entreprise - Expérience directe de partenariat ou de travail au sein d'un hypersca
Enterprise Solutions Engineer - Spain
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Spain. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology
Staff Data Scientist, ML (Credit Risk)
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals! As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do - Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management - Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them - Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models - Deploy, maint
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