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Account Executive - Canada - Corporate

Negotiable

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 ElevenLabs is building its first dedicated Canadian go-to-market team, and this is a founding Account Executive role based in Canada. We’re looking for a highly motivated, self-starter who is passionate about voice technology and how it is changing businesses. Working alongside the team led by our GM of Canada, you’ll help build our Canadian playbook from the ground up. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Build your own pipeline through proactive outbound prospecting, partnering with our SDR team to identify and engage net-new accounts 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 5. Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4-6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Proven track record of self-sourcing pipeline and running a disciplined outbound motion, not just closing inbound or marketing-sourced leads - A versatile operator who thrives on autonomy and ambiguity, takes ownership without waiting for direction, and brings competitive drive to building something from the ground up - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Bilingual (English/French) is a plus LOCATION This role is remote-first and can be executed from anywhere in Canada, with a strong preference for candidates based in Toronto. If you’re not based near one of our hubs, we offer a monthly co-working stipend so you can work from a space that suits you. #LI-remote

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Account Executive - North America - Corporate

Negotiable

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 an experienced, motivated Corporate Account Executive to drive ElevenLabs' growth in small to medium sized businesses across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency. 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends. 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more. 5. Develop and execute account strategies to expand ElevenLabs’ presence within key verticals. 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 3+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the exec level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. #LI-remote

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Account Executive - Canada - Enterprise

Negotiable

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 ElevenLabs is building its first dedicated Canadian go-to-market team, and this is a founding Enterprise Account Executive role based in Canada. We’re looking for an experienced, motivated seller to drive ElevenLabs’ growth in Fortune 500 and large-scale enterprises across Canada. Working alongside the team led by our GM of Canada, you’ll help build our Canadian enterprise playbook from the ground up. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. IN THIS ROLE YOU WILL 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Generate and own pipeline through targeted outbound into priority accounts, partnering with SDRs and our partnerships team to break into the C-suite 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 5. Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more 6. Develop and execute account strategies to expand ElevenLabs’ presence within key Canadian enterprise verticals (e.g., financial services, public sector, telecom). 7. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 8. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. - Proven success closing seven-figure deals and managing complex sales cycles with multiple stakeholders. - Proven ability to self-source pipeline and build territory from scratch in a new or greenfield market. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C-suite and board level. - Comfort with autonomy and ambiguity, plus the competitive, ownership-driven mindset to thrive in an early-stage, high-growth environment and build new playbooks, processes, and territory from scratch. - Passion for Agentic AI / Voice AI / Audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Bilingual (English/French) is a plus LOCATION This role is remote-first and can be executed from anywhere in Canada, with a strong preference for candidates based in Toronto. You’ll operate primarily in the ET timezone, with the ability to collaborate across CT, MT, and PT as needed. If you’re not based near one of our hubs, we offer a monthly co-working stipend so you can work from a space that suits you. #LI-remote

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Senior Education Engineer

Negotiable

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 LangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain’s products. We’re looking for an experienced Education Engineer to own the development of curriculum that turns developers into proficient agent builders. This is a high-craft, high-ownership role at the intersection of software engineering and education. You’ll design and build the courses, tutorials, and live workshops that teach the LangChain ecosystem to a community of over 1 million developers — many of whom are building production agents for the first time. The bar is high: developers can tell the difference between content that genuinely helps them build and content that’s just a feature tour. Your job is to create content that consistently clears that bar. You’ll work closely with LangChain’s engineering team to stay at the frontier of what’s possible with LangGraph, LangChain, and the broader ecosystem, and work with the Technical Content Manager to shape curriculum strategy and prioritize what gets built. You’ll also partner with the Education Marketing Lead on course launches, YouTube content, and live events. WHAT YOU’LL DO CURRICULUM & COURSE DEVELOPMENT - Build the courses that define how developers learn to build agents. Design and develop end-to-end curriculum for LangChain Academy - from scoping and structure to hands-on labs and assessments — that take developers from zero to proficient with our products. - Partner with LangChain engineers to stay at the frontier. Work closely with the engineering team to understand what’s new, what’s changing, and what developers need to know. Translate that into curriculum. - Write code that teaches. Build the notebooks, example apps, and working code samples that sit at the core of every course. The code needs to be clean, well-structured, and genuinely instructive. - Build the conceptual foundation developers need to build well, not just build. As coding agents handle more of the implementation, what developers need most is a clear mental model of what’s possible and what good looks like — the right architecture, the right tradeoffs, the right patterns. Craft explanations, diagrams, and frameworks that develop genuine understanding. - Keep curriculum current. Agent engineering is a fast-moving field. Own the ongoing review and revision of existing courses to keep them accurate, relevant, and aligned with the latest LangChain releases and agentic applications. LIVE EDUCATION & COMMUNITY - Represent LangChain at workshops, meetups, and conferences. Design and deliver live technical education at developer events — from intimate hackathons to large conference stag

A

Research Engineer, Production Model Post-Training

Negotiable

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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: - Implement and optimize post-training techniques at scale on frontier models - Conduct research to develop and optimize post-training recipes that directly improve production model quality - Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation - Develop tools to measure and improve model performance across various dimensions - Collaborate with research teams to translate emerging techniques into production-ready implementations - Debug complex issues in training pipelines and model behavior - Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: - Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities - Adapt quickly to changing priorities - Maintain clarity when debugging complex, time-sensitive issues - Have strong software engineering skills with experience building complex ML systems - Are comfortable working with large-scale distributed systems and high-performance computing - Have experience with training, fine-tuning, or evaluating large language models - Can balance research exploration with engineering rigor and operational reliability - Are adept at analyzing and debugging model training processes - Enjoy collaborating across research and engineering disciplines - Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: - Have experience with LLMs - Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual com

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Principal Engineer, On-Device AI Inference & Syste...

Negotiable

The opportunity We are building the next generation of AI-driven game experiences, running generative models on-device, right where the players are — on phones, tablets, laptops, and desktops. Our games run inside a modern, browser-native runtime (built on technologies such as WebGPU and WebNN), so the models that power these experiences must be deployed and accelerated entirely within that runtime. As our Principal Engineer for On-Device AI Inference & Systems, you will be the foremost engineering authority on taking state-of-the-art multi-modal models (transformers and diffusion networks) and making them run fast, small, and reliably within that runtime, fully integrated into a production game engine. This is a deeply hands-on, high-impact engineering role. You will own the inference and integration stack end-to-end — from the moment a trained checkpoint leaves research, through export, optimization, and kernel-level tuning, to a shipped feature running inside the engine at interactive frame rates within a fixed memory and power budget. You will set the engineering standards, drive the architecture of the runtime and integration layers, and mentor a team of senior and mid-level engineers. Your work directly determines the latency, quality, memory footprint, and battery profile of AI features experienced by players worldwide. This role is for an engineer who is energized by the gap between a research model and a shipping, AI-based product. If you love profilers, frame captures, op-fusion, and shaving milliseconds and megabytes, this is your role. What you'll be doing - Inference & On-Device Optimization - Own the end-to-end optimization pipeline: model export, graph transformation, operator fusion, memory-layout planning, and hardware-specific kernel tuning across NPU, mobile GPU, and desktop/laptop GPU. - Make authoritative decisions on quantization (INT4/INT8/FP16), weight sharing, structured/unstructured pruning, and knowledge distillation to hit hard latency, memory, and power budgets — and validate them against quality bars. - Drive low-level performance work: write and tune WebGPU compute shaders (WGSL) and, where relevant, native kernels (Metal, Vulkan/SPIR-V compute, D3D12, CUDA); profile with browser and platform tools (Chrome/Dawn GPU traces, PIX, Instruments/Metal System Trace, Snapdragon Profiler, Nsight, RenderDoc), and eliminate bottlenecks at the op and memory-bandwidth level. - Apply efficiency techniques — dynamic resolution, token reduction, cross-frame caching/reuse, reduced-step diffusion samplers — as engineering levers to meet budgets on target SKUs. - Runtime & Systems Integration - Evaluate, select, and drive adoption of WebGPU-targeted inference runtimes (ONNX Runtime Web, Transformers.js, WebLLM, TensorFlow.js) alongside native options (CoreML, ONNX Runtime, TFLite, ExecuTorch) — and extend or build runtime/glue code where off-the-shelf options fall short of our diffusion workloads. - Design and own the integration between the ML runtime and the game engine: real-time scheduling, threading, memory pooling, zero-copy buffer sharing between the inference path and the render path, and frame-budget management alongside the renderer. - Architect inference systems that handle diverse inputs — images, text, primitives, metadata — and produce pixel-level outputs with real-time performance, robust to the messy realities of production (cold starts, thermal throttling, device fragmentation, backgrounding). - Build the supporting engineering: model packaging and asset pipelines, on-device fallbacks and SKU-aware capability tiers, crash/quality t

E

Account Executive - Australia & New Zealand

Negotiable

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 a highly motivated, self-starter Senior Account Executive in ANZ region who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new enterprise accounts to help ElevenLabs meet its revenue goals. - Identify new business opportunities in the media/publishing or gaming space that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the media/publishing or gaming industry. - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. REQUIREMENTS - Proven track record of meeting & exceeding sales targets in a fast-paced environment. - 8-10 years of previous experience in sales in a SaaS organisation. - Expertise or willingness to learn everything about conversational AI and how ElevenLabs’ solution can help. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organizat

A

Manager, Sales Development - EMEA

Negotiable

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. Role Overview As a Sales Development Manager for EMEA at Anthropic, you will lead and scale our business development function across Europe, the Middle East, and Africa. You will build and manage a team of 6-8 BDRs primarily in Dublin. This role requires exceptional agility, cultural fluency across diverse European markets, and the ability to develop segment-specific strategies while navigating complex regulatory environments and regional nuances. You will be instrumental in establishing Anthropic's regional presence and building the foundation for long-term growth in EMEA. Key Responsibilities - Build, lead, and scale a team of 6-8 BDRs across EMEA markets including SEU, NEU, and DACH. - Develop and execute region-specific prospecting strategies that account for local market dynamics, cultural nuances, and competitive landscapes across diverse European markets - Support all sales segments (Startups, Commercial, Enterprise) with agility to shift resources based on regional opportunities - Partner with regional AEs and sales leadership to align pipeline generation with territory plans and revenue targets - Establish KPIs and tracking mechanisms that account for regional differences while maintaining global consistency - Create localized training programs and enablement materials that resonate with diverse European business cultures - Build and maintain relationships with regional marketing teams to optimize lead quality and campaign effectiveness - Own regional Pipeline Reviews with sales leadership covering market-specific insights and growth opportunities - Navigate complex hiring and employment regulations across multiple European countries, partnering with HR and Legal - Coach and develop BDRs on region-specific prospecting techniques and career progression Qualifications - 3-6 years of experience managing sales development or inside sales teams in EMEA - Proven track record of growing and scaling teams across multiple European countries/offices - Experience managing distributed teams across different time zones and cultures within EMEA - Strong understanding of business practices, sales cycles, and decision-making processes in key EMEA markets - Experience adapting global sales processes for European markets while maintaining consistency - Deep understanding of GDPR, EU AI Act, and other European regulatory requirements affecting enterprise sales - Strong analytical skills with ability to identify and act on regional market opportunities - Experience with Salesforce and sales technology stack - Excellent communication skills with ability to operate effectively across European cultures - Bachelor's degree or equivalent work experience Preferred Experience - Experience at US-headquartered technology companies expanding in EMEA - Backgroun

E

GTM Enablement - Partnerships

Negotiable

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 hiring our first Sales Enablement - Partnerships role to build the foundation of how ElevenLabs enables, trains, and scales its global partner ecosystem. This is a 0-to-1 builder role. You will define the strategy, build the infrastructure, and execute hands-on as we scale. What sets this role apart: we're looking for someone with a technical foundation. You've been in the room for complex API integrations, agent deployments, or voice AI implementations. You understand what it takes for a partner's solutions engineer to confidently build and demo on our platform You'll translate that credibility into world-class enablement that bridges the gap between product capability and partner execution. This role sits within GTM Enablement and reports to the GTM Enablement Lead, International. You will work in close partnership with: - Revenue Partnerships (owning partner pipeline and commercial strategy) - Partner Success (owning partner adoption, outcomes, and long-term success) You will support a global network of resellers, systems integrators (SIs), and technology partners. While partner enablement is your primary focus, you'll also support internal GTM Enablement across AE, SDR, and CSM roles as needs arise. This is a full-stack enablement role on a lean team — you'll build content, deliver training, design e-learning, and flex across audiences

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Senior Frontier Agent Engineering Manager

Negotiable

At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI . As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments. We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production , leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence. Why this role is unique: - Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence. - Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. - Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP. - Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment. This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise. You Will: - Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives - Set clear technical direction and foster a culture of ownership, speed, and trust - Work hands-on with customers to deeply understand and solve complex business and technical challenges - Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams - Make smart tradeoffs between speed, scope, reusability, and bespoke solutions - Drive technical decisions and help the team navigate system integrations and architecture choices - Shape the product roadmap by translating customer needs into scalable platform improvements - Build internal tooling and shared capabilities to accelerate delivery across diverse use cases - Collaborate across engineering, product, and customer teams to streamline execution and reduce friction - Ensure fast, high-qua

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Developer Productivity

Negotiable

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 Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Staff ML Risk Analytics

Negotiable

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 . As a Staff Machine Learning Analytics professional on the Growth & Risk team, you will sit at the intersection of fraud intelligence and machine learning infrastructure defining how we identify, model, and respond to sophisticated fraud at scale. Fraud at Coinbase is a fast-evolving problem: our counterparties are professional, adaptive, and operate faster than any human response team can. That's why we build ML-powered, automated solutions. Your work will directly determine how well our systems can detect and prevent account takeover (ATO) and scam activity before it reaches our users. This is not a traditional risk analyst role. We are not looking for rule-writers. We are looking for someone who understands how the ML industry has evolved and can apply that knowledge to hard, high-stakes fraud problems. What you’ll be doing: - Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so our models can take intelligent, high-accuracy action on a small fraction of traffic where intervention matters most. - Own the end-to-end feature engineering pipeline identifying, building,validating and promoting features that drive measurable improvements in ATO and scam ML performance. - Diagnose gaps between current tooling infrastructure and the solutions needed, and drive the roadmap to close them leveraging your understanding of how the industry has evolved to make the right architectural calls. - Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved. - Set technical direction for the ML Analytics function within Growth & Risk, mentoring junior team members who need a senior practitioner to define the approach and translate direction into execution. - Partner cross-functionally with Product Managers and Risk analysts to surface fraud signals and translate ML findings into business-impacting decisions. - Serve as the team's institutional knowledge resource on ML industry evolution — helping the organization understand why certain solutions work, what historical architectural decisions mean for current tooling, and where the industry is headed next. What we look for in you: - 8+ years of hands-on experience in machine learning analytics, data science, or a related technical field with meaningful experience applied to risk, fraud, or payments problems. - Deep, practitioner-level expertise in Spark, Python, and big data ML this is the core stack. SQL and rule-writing are adjacent skills; they are not what this role is about. - Proven experience in feature engineering for ML models, including identifying the right signals, building pipelines, and validating feature quality at scal

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Product Manager, Data Engine

Negotiable

The Mission Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers. We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI. This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing. You will: - Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems. - Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships. - Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E). - Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders. Ideally you'd have: - Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems . You can read code, understand system architecture, and earn the immediate respect of world-class engineers. - ML/CV Experience: You have experience in Computer Vision or ML Ops . You understand the lifecycle of a model—from data acquisition to Test & Evaluation. - Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments. - Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results. Nice to haves: - Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one. - Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier instit

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Engineering Manager - Machine Learning

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: - Enable AI/ML, LLM, and Agentic Systems teams for scale - The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment. - Act as a mentor, coach, and sponsor - You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational boundaries and you will have opportunities to partner with ML research, platform engineering, and business teams. - Enable a model-driven culture - Machine learning is at the core of everything we do. You will work with stakeholders across the business to ensure our ML infrastructure supports rapid experimentation, reliable model deployment, and continuous improvement. Problems you will work on could range from optimizing GPU cluster utilization to implementing Agentic orchestration and establishing company-wide MLOps standards The Team You’ll Join: You'll be part of a group of technical leaders who work together on the craft of engineering leadership as well as debate ML system architecture, MLOps patterns, and infrastructure optimization strategies. We all work better when we have the support of those around us and are learning together to solve complex problems around model scalability, deployment reliability, and infrastructure efficiency across our teams. You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure, High Performance Compute and Machine Learning Infrastructure space. The Experience You Will Need: - Experience in a hands-on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems. - A people-first mindset. We deliver in a way that prioritizes supporting our coworkers in their growth and experience and understand how Conway's Law shapes our ML system outcomes. - Demonstrated past record of learning from and teaching peers in areas of ML infrastructure, model deploy

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Director of Engineering - AI for Roblox Studio

Negotiable

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. Why Roblox Studio? Roblox Studio is the creation engine behind millions of immersive 3D experiences built by creators around the world. It serves everyone from first-time developers to large professional studios, combining a powerful real-time engine with a deeply expressive toolchain. We’re entering a major platform transition: evolving Studio into an AI-Native IDE , where intelligent systems can plan, act, validate, and iterate alongside creators. This shift is foundational to the future of creation on Roblox and must be executed with rigor, reliability, and scale. The Role We are seeking a Director of Engineering for Studio Assistant to own and drive this transformation. In this role, you are accountable for the architecture, execution, and long-term success of agentic AI systems embedded deeply into Roblox Studio. You will operate at the intersection of platform engineering, AI systems, and developer experience by setting direction not just for features, but for how AI-powered creation works at Roblox. This role carries responsibility for multi-year platform bets , organizational design, and the technical quality bar for AI inside Roblox Studio. This role will be based in our San Mateo, CA headquarters (hybrid with Tues-Thurs onsite days). You Will: - Own the technical direction and delivery of Studio’s AI-Native IDE strategy. - Build and scale agentic AI systems (planning, execution, validation, evaluation) that are production-grade and reliable. - Set and uphold the engineering quality bar for AI systems inside Studio. - Lead senior engineers and managers across multiple teams. - Drive alignment and execution across Studio, Creator, Foundation AI, Safety, and Infrastructure . - Partner with executive leadership to translate long-term AI strategy into durable roadmaps. You Have: - 15+ years of engineering experience , including ownership of large-scale, long-lived platforms. - Proven leadership through major platform or architectural transitions . - Deep experience building LLM-powered and agentic systems beyond chat-based interfaces.</li

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Senior Engineering Manager, AI Product (Thunderbol...

Negotiable

Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase . This role will help the team define what production-ready means at this stage: stronger release discipline, clearer ownership, higher user-facing product quality, stronger engineering practices, and a more scalable operating model. This is a hands-on technical management role . The Senior Engineering Manager will manage a senior engineering team, stay closely engaged with the codebase and technical execution , coordinate work across employees, contractors, and technical partners, and help the team deliver a reliable, enterprise-ready open-source AI product. The right person will bring strong people management skill

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Senior / Principal Data Scientist - Discovery

Negotiable

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. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse. As a Data Scientist , you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as a high-visibility IC leader driving the roadmap for our most critical consumer touchpoints. You Will: - Algorithmic Vision: Lead the development of ML solutions and ranking frameworks that power our discovery canvases. You will move beyond local optimizations to solve for long-term ecosystem health and user retention. - Strategic XFN Partnership: Act as the primary scientific advisor to Product and Engineering leaders. You will use data to inform, drive, and accelerate innovations via deep-dive insights and ML prototypes. - Causal Inference & Experimentation: Leverage advanced causal inference methodologies to measure the effectiveness of platform initiatives (e.g., social features or site-wide events) that are often susceptible to complex network effects. - Foundational Scaling: Develop frameworks to scale the hypothesis generation process, ensuring that our experimentation velocity matches our massive growth. - First-Principles Problem Solving: Apply creative, first-principles reasoning to ambi

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Machine Learning Engineer

Negotiable

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 . Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Full-time telecommuting is an option. Requirements: Master’s degree in Computer Science, Mathematics, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation. Special Skill Requirements: 1.) Machine Learning; 2.) TensorFlow; 3.) Python and SQL; 4.) Feature Engineering and Selection; 5.) Ads predictive model design; 6.) Ads predictive model offline training and model evaluation; 7.) Ads predictive model online/serving experiment and analysis; 8.) Ads modeling serving status monitoring and incident mitigation (Oncall); 9.) Distributed Systems; 10.) Prompt Engineering and RAG. Any suitable combination of education, training and/or experience is acceptable. Full time telecommuting is an option. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Submit a resume with references using the apply button on this posting or by email at: <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5

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[2026] Senior Machine Learning Engineer, Multimoda...

Negotiable

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. At Roblox, computer vision and graphics power the way our global community discovers, creates, and interacts on our virtual platform. This role involves building cutting-edge models to interpret and analyze every form of content—experiences, text, images, videos, and 3D avatars. Your work will directly influence core systems that drive the next generation of creation, search, recommendations, and trust & safety initiatives across our massive ecosystem. We’re looking for PhD candidates passionate about the intersection of computer vision, graphics, and generative modeling. You’ll work on applied research and engineering projects with direct production impact — enabling new ways for creators and players to bring ideas to life. Teams Hiring for This Role - Content Understanding: Develop large-scale computer vision and multimodal models that classify, organize, and recommend 3D and visual content to improve user discovery, personalization, and safety. - Account Identity : Focuses on various aspects of user identity from bot detection, alternate account detection graph, to age estimation based on behavioral and facial features. - Safety AI Systems: Develop AI that automatically inspects and filters the vast array of user-generated content on Roblox – from images and videos to audio files, 3D meshes, and entire games. This includes CV models to detect unsafe images, audio analysis to screen sound and music, and novel techniques for 3D content and code moderation. You Will: - Design and implement foundation models for visual and 3D-based creation, search, and recommendations , ensuring a high level of fidelity, relevance, and ranking. - Break down complex product requirements into iterative deliverable stages, moving applied research into high-scale production systems. - Implement innovative visual and multi-modal models that power core Roblox functions (e.g., world creation, avatar systems, search, and recommendations). - Build high precision facial age estimation across demographics from ground up including various fraud detection techniques for a robust and safe user identity system. You Have - Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Expertise in one or more areas: compu

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Staff+ Software Engineer, Caching

Negotiable

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 experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities - Drive the technical direction for caching infrastructure used across Product and Research - Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem - Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers - Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases - Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments - Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths - Build observability and tooling that makes cache behavior easy to understand and debug - Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work - Make build-vs-buy decisions for caching technologies Minimum qualifications - Significant experience as a software engineer building and operating production distributed systems - Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes - Experience operating Redis, Memcached, or similar in-memory data stores in production - Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred qualifications - 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams - Experience building managed infrastructure platforms or internal services consumed by many engineering teams - Experience with change data capture (Debezium or similar) or streaming data infrastructure - Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale - Experience designing client libraries or SDKs fo

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Design Program Manager, AI

Negotiable

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 The Design organization at Stripe builds the product and brand experiences that millions of businesses and developers rely on. We’re a cross-functional, global organization composed of product designers, content designers, design researchers, design systems engineers, motion designers, and design program specialists. Our mission is to make economic infrastructure simple and accessible — and design plays a central role in making complex flows understandable, crafting clear product language, and building consistent systems that scale. As AI becomes central to how product teams design, build, and iterate, we’re investing in tooling, platform services, and workflows that amplify designers’ impact. You will help shape that investment by partnering with design, engineering, research, and product teams to build and deliver reliable, safe, and useful AI-assisted tooling that improves designer productivity, creativity, and consistency across Stripe. What you’ll do Focused on accelerating the integration of AI into Design, as a Design Program Manager, you'll collaborate closely with designers, researchers, content designers, and design engineers working across brand, product, and marketing experiences at Stripe. You'll build alongside them, and you'll help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which Design Stripes default to using AI as a part of their work. Responsibilities - Identify and document the highest-leverage workflow transformations within Design's day-to-day work by deeply understanding their processes and outputs - Partner with designers to understand their workflow and responsibilities and imagine AI-powered tools and agents that left-shift and accelerate velocity - Build custom tools, agents, automations, and skills tailored to Design’s specific workflows and responsibilities. - Enable and uplevel designers to build and iterate on their own tools over time, creating independence - Recognize patterns across Design and systematically scale what works — a tool built for one designer should become reusable for their peers - Document every tool, playbook, and transformation pattern you build so the entire team can use each other's work - Share wins visibly across Design and with leadership to build momentum, inspire, and celebrate success - Track individual and cohort progress rigorously against a defined maturity model, moving every Design Stripe toward self-sustaining, AI-accelerated work - Prepare designers for an agentic future—not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows - Ensure all tooling meets expectations around quality, security, and performance - Source and evaluate vendors when needed and interface with legal, security, and

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Python Developer – AI Operations

Negotiable

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). *A select number of positions require full-time in office attendance* I f you're a Python Developer with a passion for AI and Large Language Models and want to get the chance to work on cutting-edge AI-powered products and intelligent automation systems, then keep reading. As a key member of the AI Operations team, you will hav e a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment. What You'll Be Doing: - Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and process - Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requests <span class="EOP Selected SCXW70621210 BCX8" data-ccp-props="{"335559737":0,"335572071":4,"335572072":0,"335572073":0,"335572075":4,"335572076":0,"335572077":0,"335572079":4,"335572080":0,"335572081":0,"335572083":

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Senior Machine Learning Engineer

Negotiable

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. We're looking for an exceptional Senior Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Menlo Park, CA, with in-person attendance expected at least three 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 Fine tuning, product use cases, developing AI inference services for product use cases. Optimization of agentic workflows through finetuning and reinforced learning. Improving evaluation and training or finetune models for product use cases. Working with platform tooling team to productionize fine-tuned models for customer use cases. Telecommuting Permitted. What you bring - Bachelor's degree or foreign equivalent in Computer Science or related field and three years (3) of experience in AI, Machine learning, job offered or related occupation. - Education and/or experience must include 3 years of experience with each of the following skills is required: - Designing and deploying machine learning systems using production-grade frameworks for training, optimization, and service integration. - Implementing scalable data pipelines using distributed compute frameworks to process, validate, and version large datasets. - Building and fine-tuning large language models using techniques such as LoRA, RLHF, retrieval augmentation, and prompt optimization. - Developing high-performance inference systems by applying quantization, pruning, distillation, and hardware-aware optimization. - Engineering retrieval-augmented generation pipelines with vector indexes, embedding workflows, and document-chunking strategies. - Authored production-ready microservices that expose mo

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Sales AI Engineer

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is building a Sales AI Transformation function to embed AI across the sales workflow - reducing manual work, improving decision-making, and simplifying how reps and managers operate day-to-day. As the founding Sales AI Engineer, you’ll be a hands-on builder who designs and ships AI-enabled workflows that connect systems like Salesforce, Slack, and our data stack. You’ll move quickly from prototype to production, measure adoption and impact, and create reusable patterns that help the broader GTM organization build and scale what works. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Build and operationalize AI-powered workflows that improve daily execution for sales reps and managers (e.g., account insights, CRM hygiene, coaching workflows, outbound research/personalization) - Integrate across the GTM stack using APIs, automation platforms, and lightweight internal tools; ensure clean data flow and reliable execution - Apply LLMs pragmatically: choose the lightest safe solution, constrain outputs, and build quality checks and monitoring so workflows can be trusted in production - Partner with SalesOps, Enablement, and GTM Systems to align on requirements, rollout, governance, and production deployment - Create reusable patterns (templates, agents, connectors, documentation) that enable distributed adoption rather than central dependency - Define success metrics for each workflow, track adoption and business impact, and iterate based on real usage and outcomes We'd love to hear from you if you have: - Experience shipping production-grade automations or internal tools across GTM systems (Salesforce + adjacent tooling), including integration troubleshooting and data hygiene - Hands-on experience building LLM-powered workflows (OpenAI, Anthropic, or similar), with an ability to explain how you ensured quality and safety - Strong coding ability plus comfort working with SQL and operational data - Strong product and stakeholder instincts: you can translate ambiguous needs into shippable solutions, and you care deeply whether what you build is adopted While not required, it’s an added plus if you also have: - Familiarity with agentic patterns and experience instrumenting/monitoring AI workflows in production - Experience building internal Slack tooling or CRM-embedded experiences for sales teams - Salesforce development depth or strong equivalent CRM engineering experience At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. &l

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Software Engineer II, Backend (ML Training & Servi...

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do - With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. - You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. - You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. - You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For - You have a total of 1.5+ years of experience as a software engineer. - You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - L Equity Grade - 5 Employees new t

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Staff AI Research Engineer

Negotiable

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... - Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. - Contribute to the development and training of bandit models and large-scale neural network models. - Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. - Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. - Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. - Mentor team members, providing guidance and support in their professional development. - Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅ You have... - Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. - Strong background in training and fine-tuning large models in an applied setting. - Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. - Excellent leadership and communication skills, with the ability to manage and inspire a team. - Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon

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Senior Clinical Trial Manager

Negotiable

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual Summer Break from Monday, June 29, 2026, through Friday, July 3, 2026. Our response to your application will be delayed. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking a highly motivated, skilled, and adaptable Clinical Trial Manager within our Clinical Operations team who will manage the conduct and execution of one or more clinical trials from study start-up to study closure in close collaboration with the Clinical Project Manager and/or Associate Director/Director of Clinical Operations. In this role, you will: - Support the Clinical Project Manager in the execution of trial operations across diverse therapeutic areas to deliver transformative, new medicines to patients - Manage and track clinical trial activities, timelines, and deliverables - Engage and build relationships with clinical CRO and trial partners to support the successful execution of clinical trial activities - Proactively identify opportunities for operational and process improvements within the Clinical Operations team - Contribute to the advancement of the Recursion development portfolio The Team You’ll Join Reporting to an Associate Director/Director of Clinical Operations, you will be an essential member of the Clinical Operations team within Development and work closely with cross-functional study teams. You will impact all phases of Development clinical trials. The team is dedicated to ensuring operational excellence across our clinical programs. The Experience You’ll Need - Bachelor’s degree or equivalent experience - 6+ years of experience in a clinical operations role in the biopharmaceutical industry, with at least 2+ years experience as a regional CTM or similar operations role required - Preferred experience: monitoring experience, automating trial activity tracking through Smartsheet or other CTMS/tracking tools - Early phase (Phase 1, 2) oncology and/or rare disease experience at a Sponsor or CRO is required - Strong working knowledge of FDA, ICH, GCP regulations and guidelines - Effective collaboration in a fast-paced team environment - Excellent interpersonal and communication skills, and an understanding of principles of relationship management across diverse internal and external stakeholders - Detail-oriented with effective organizational and problem-solving abilities. - Experience in managing multiple priorities and able to accomplish tasks within a timeframe, setting milestones to meet deadlines and to achieve goals - Proficient in using various software applications related to clinical trials, such as, but not limited to: smartsheet, clinical trial management systems, project management tools, document management systems, and electronic

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Head of Investments & Liquidity

Negotiable

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 is seeking a Head of Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. This role reports directly to the Treasurer. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. You will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. Key responsibilities - Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts - Monitor external manager performance and maintain a manager bench with clear performance reporting - Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity - Develop and operationalize a capital planning framework across operating and strategic liquidity tiers - Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls - Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications - Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management - A track record of building or significantly scaling an investment program, not just executing within an established one - Experience with an in-house investment program, including direct fixed income trading - Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight - Experience developing and implementing Treasury policies and SOX-ready controls - Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements - Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications - 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management - Experience in a high-growth technology environment - Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity - Familiarity with integrating cash forecasting into investment laddering - CFA charter The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and ann

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Head of FX & Risk

Negotiable

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 is seeking a Head of FX & Risk to join our Treasury team. In this foundational role, you will design and implement our financial risk management program from the ground up – quantifying exposures, setting risk tolerance thresholds, and executing on strategy – while building the frameworks that govern our long-term risk management objectives. This is a rare opportunity to shape critical Treasury functions at a high-growth AI company. You will own FX, interest rate, commodity, and counterparty risk end-to-end. You will protect earnings and cash from volatility so the company can plan with confidence. This role reports directly to the Treasurer and partners closely with Finance leadership, Accounting, Legal, and cross-functional teams to align Treasury operations with broader financial strategies and business objectives. Key responsibilities - Build an integrated financial risk management framework spanning FX, commodity, rates, and counterparty risk - Design, implement, and execute Anthropic's FX program, including exposure quantification, risk tolerance thresholds, policy development, and instrument selection - Establish a commodity exposure strategy to support our growing compute portfolio - Manage interest rate risk across the investment portfolio and any debt - Design and operationalize a counterparty risk framework with documented limits and regular monitoring across a growing bank and asset manager footprint - Run scenario planning and stress testing to understand how exposures evolve as the business scales - Develop Treasury policies and controls, and deliver integrated financial risk reporting to the CFO Minimum qualifications - Deep expertise in FX hedging program design and execution, developed in Treasury or financial risk management - A track record of implementing an FX hedging program, not just operating within an established one - Strong command of derivative instruments — forwards, options, and swaps — and hedge accounting considerations - Experience with commodity or energy hedging and interest rate risk management - Experience designing counterparty risk frameworks and Treasury policies and controls Preferred qualifications - 8+ years of relevant experience in Treasury or financial risk management - Experience implementing an FX hedging program at a multinational technology company - Experience supporting multi-entity, multi-currency billing rollouts - Exposure to energy or compute-adjacent commodity risk, such as power markets and PPAs - Experience implementing a Treasury risk management system The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annu

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B2B Marketing - Middle East

Negotiable

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 the Middle East. We need a builder who is comfortable with the "zero-to-one" phase of regional growth and has shown strong drive in the past. - You will be the local "Source of Truth" for marketing and growth, acting as a creative, an analyst, a coordinator, and an operator all at once. You should be someone who enjoys the complexity of managing multiple growth channels and has the drive to implement projects from start to finish while owning decisions and outcomes entirely. YOUR RESPONSIBILITIES - Define and own regional growth: Define the regional growth strategy & channels and own the implementation and outcomes - Regional Growth Engine: Make sure the Middle East 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 French bus

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Engineering Manager, Marketplace

Negotiable

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 A growing ecosystem of partners is building products on top of Claude. We're hiring an Engineering Manager to expand our Marketplace Platform. You'll shape the platform capabilities of a product surface that spans customer-facing discovery, partner-facing self-serve tooling, the business logic that orchestrates deals between them, and the authentication layer that lets users move seamlessly between Claude and partner products. This is a 0→1 role with a broad mandate and tight integration seams across several other platform teams. About the team The team owns a new product layer within the Platform organization. Its scope spans the customer-facing surfaces where enterprises engage with the broader Claude ecosystem, the partner-facing surfaces that support companies building on Anthropic's platform, and the workflows and orchestration that sit between them. The team builds on top of identity, tenancy, authorization, and billing primitives owned by other platform teams rather than rebuilding them — a meaningful part of the role is making those seams clean and durable as the product grows. Responsibilities - Form the team - hire the founding engineers, set the technical direction, and establish how the team operates - Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response - Partner with product and design to shape the roadmap - not just execute against it - Work directly with enterprise customers and ecosystem partners alongside the go-to-market organization, joining key conversations and turning what you learn into engineering priorities - Manage the integration seams with billing, auth & identity, and other platform teams — coordination across these boundaries is one of the largest sources of timeline risk - Drive the platform-readiness work this product layer requires, partnering with security, legal, and operations as self-serve capabilities displace manual ones - Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team You may be a good fit if you - Have taken a product or platform from 0 to 1 - formed a team, made the early architectural calls, and shipped the first version with limited precedent to lean on - Are a skilled engineering manager who treats management as a craft with clear feedback, strong 1:1s, consistent investment in your team's growth - Have led teams whose work sits at the seams between other teams, and understand that coordination quality is often the bottleneck - Are comfortable working with customers and partners directly, and joining conversations alongside sales, customer success, and business development Strong candidates may also have - Experience building multi-sided platforms or partner ecosystems at enterprise scale - Background designing the business logic and orchestration around financial systems without owning the financial primitives themselves</li

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Data Center Strategic Sourcing Lead

Negotiable

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 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 hiring an Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic’s Data Center IT equipment footprint. In this role, you will own end-to-end sourcing strategies for critical IT infrastructure such as fiber, network switch gear, and high performance compute systems. You will partner closely with engineering, demand planning, and third-parties to drive hardware availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center equipment you will play a critical role in helping Anthropic to achieve its ambitious scaling goals. Responsibilities: - Drive commercial negotiations and Master Service Agreements for critical IT infrastructure such as networking equipment, fiber connectivity, compute hardware. - Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets. - Implement frameworks for ensuring third-party datacenter partners adhere to commercial equipment terms and technical specifications. - Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability - Proactively monitor global supply chain volatility and execute contingency plans to avoid critical project delays. - Translate technical roadmaps into equipment forecasts and procurement pipelines. - Partner with Finance to optimize inventory strategy. - Establish efficient return and replacement workflows with vendors to restore failed equipment quickly. - Negotiate warranty terms and track vendor performance on RMA execution. You may be a good fit if you: - Have 7+ years experience in supply chain management, sourcing and procurement - Have a track record of developing processes for forecasting, planning, and managing data center material for build-out and/or operations. - Are familiar with data center network and compute hardware (e.g. switches, routers, cables, servers, PDUs, etc). - Possess a bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 10+ years experience in supply chain management, sourc

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Product Manager, API Growth

Negotiable

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 Product Manager for API Growth, you’ll drive growth for the Claude Platform (platform.claude.com) – the surface where developers and businesses build directly on Claude. Your efforts will span the entire funnel, driving growth of key API metrics across acquisition, activation, and monetization. You'll work closely with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI. Responsibilities: - Develop and execute a product strategy focused on driving Claude Platform growth metrics such as acquisition, activation, monetization - Lead the ideation, development, and launch of growth features across our API product – onboarding, console, docs, billing, and self-serve upgrade paths - Analyze product metrics and user feedback to identify opportunities and optimize performance - Collaborate with engineering, design, developer relations, and marketing teams to deliver high-impact growth initiatives - Conduct user research to understand customer needs and pain points - Define and track key performance indicators (KPIs) for API growth - Balance rapid iteration with our commitment to AI safety and ethics Qualifications: - 6+ years of product management experience, majority in growth focused roles - Experience driving growth for API, developer platform, or technical / usage-based products - Strong analytical skills, and experience with A/B testing and funnel optimization - Excellent communication and stakeholder management skills - Ability to thrive in a fast-paced, ambiguous environment - Passion for AI technology and its potential impact on society - Technical background or ability to work effectively with engineering teams - Founder experience is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the i

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Policy Counsel, EMEA

Negotiable

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 is seeking a Policy Counsel to support our public policy and legal initiatives at the intersection of AI technology and regulation. As a member of our legal team, you'll work cross-functionally to navigate emerging policy challenges and help build and advocate for frameworks that promote responsible AI development. This is an exceptional opportunity to tackle novel legal and policy questions while contributing directly to the future of AI governance. Key responsibilities - Support the development of AI governance frameworks that align with evolving regulations, industry best practices, and global standards Monitor and analyze emerging legislative and regulatory developments related to AI - Provide legal analysis and advice to the External Affairs team and other Public Policy stakeholders - Partner with Public Policy and technical teams in developing practical policy guidance that is informed by a deep understanding of our products - Assist in drafting policy positions and proposals and advocacy materials Minimum qualifications - Law degree and qualification to practice law in a relevant Dublin jurisdiction - Experience with policy, regulatory, or government affairs work, whether in government, at a technology company, a law firm, or a policy organization - Strong written and verbal communication skills, including the ability to make complex legal and technical concepts accessible to non-legal audiences - Strong analytical and problem-solving skills, with the ability to work through ambiguous policy questions Preferred qualifications - 6+ years of relevant legal experience - Experience working on complex technology policy issues across AI/ML policy, data privacy, copyright, or technology regulation - Familiarity with Dublin legislative and regulatory processes, including experience with EU or national-level advocacy - Experience drafting policy positions, comment letters, or regulatory submissions - Demonstrated ability to quickly understand AI concepts and translate them into policy contexts - Interest in government affairs matters and a commitment to responsible AI development - A collaborative, humble approach and the ability to work effectively across diverse teams - Comfort working in a fast-paced environment while maintaining attention to detail The annual compensation range for this role is listed below. For sales r

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Head of Copy, Creative Studio

Negotiable

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. The Creative Studio is Anthropic’s in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. The team is growing, and we’re looking for people who do excellent work to join us. The stakes are real, and there’s room to shape what all this becomes. About the role This role sits at the intersection of brand strategy, creative leadership, and storytelling. You will own the full spectrum of voice, tone, and written creative across both the Anthropic and Claude brands across marketing — web copy, social, product launches, campaigns and more. You will build and grow a team of talented writers and content strategists, and partner closely with fellow Creative Directors to deliver creative work that is not only beautiful and polished, but genuinely moves people. We are looking for a creative leader who brings both rigorous craft and bold creative instinct — someone who can shape how the world understands and relates to AI through the power of language. Responsibilities Define and evolve brand voice - Define and continuously refine the voice and tone frameworks for both Anthropic and Claude brands, ensuring they are distinctive, resonant, and appropriate across our many audiences — from developers and enterprise buyers to the general public. - Collaborate with marketing strategists and other Creative Directors to ensure voice and tone are deeply integrated across all marketing creative touchpoints and channels. Lead creative strategy and writing - Own the creative strategy and writing for marketing campaigns, product launches, web content, social media, video content and more. - Define what "raising the bar" means. Push toward creative work that is surprising, precise, and unmistakably human in its intentionality. Build and develop a team - Hire, mentor, and grow a team of writers and content strategists with strong voices, strong opinions, and the ability to interrogate outputs relentlessly. - Foster a culture of craft, creative ambition, and collaborative excellence. - Establish clear creative processes and feedback loops that empower your team to do their best work at speed and scale. Partner across the creative studio - Work hand-in-hand with Creative Directors across Product, Enterprise, Web, Video, and Growth to deliver cohesive, world-class creative work across all channels and audiences. - Serve as a key creative partner to marketing leadership, contributing to strategy and execution at the highest level. - Serve as the connective tissue between human creative vision and AI execution infrastructure — translating strategic intent into prompting frameworks, feedback systems, and quality bars that scale. You may be a good fit if you - Have 12+ years of experience in creative leadership, with a

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Communications Specialist, Product

Negotiable

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 seeking a communications professional to join our team and support external storytelling for Anthropic's products. Reporting into the Product Communications team, you'll partner closely with the product teams behind Claude, helping translate some of the most closely watched product work in AI into something people can understand and trust. In this role, you'll help craft narratives that make Claude's capabilities accessible and meaningful to the developers and customers who use our products and the journalists and creators who write about them. You'll own communications for feature updates end to end, and provide support on model launches, and flagship product launches. The ideal candidate should have strong proactive and reactive instincts, genuine curiosity about the products and the technology behind them, and the judgment to handle nuanced, fast-moving topics. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams. You should know our products well enough to hold a real point of view on them, and treat customer feedback as something to surface back to the teams who can act on it. Responsibilities: - Own communications for feature updates and launches end to end, and provide strong support on model launches and flagship product launches - Help surface the launches, demos, and capability stories worth telling, and support the team in finding the right channel for each - Help develop messaging and draft the materials that carry it — press releases, talking points, FAQs, blog posts, briefing docs — translating Claude's capabilities into something a user or journalist can actually grasp - Support relationships with the journalists, newsletter writers, podcasters, and creators shaping how people talk about AI - Help prepare product and research leaders to be effective spokespeople - Work across press, social, owned, and community channels, and develop a sense for which lever to pull for each moment You may be a good fit if you: - Have 5–8 years of experience in communications or PR with experience at an AI company, research lab, or technical product company - Are a Claude user across our apps and have a clear sense of what's working and what isn't - Have experience supporting frontier model launches or technical product launches - Have existing relationships with reporters and creators covering AI - Have strong product instincts, and the judgment to read timing and tone when the conversation around AI gets noisy - Are a clear, concise writer across formats — press materials, messaging, briefing docs - Are highly online and fluent in where technical conversations happen, from developer forums to X to Hacker News - Are a collaborative team player who works well with others The annual compensation range for this role is listed below. For sa

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Account Executive - UK/I - Mid-Market

Negotiable

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. We’re looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Exper

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Senior Full-Stack Software Engineer, (Forward Depl...

Negotiable

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. - Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. - Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. - Contribute to core platform features designed to be reused across diverse international client use cases. - Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: - Bachelor’s degree in Computer Science or a related quantitative field - 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. - Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. - Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. - A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. - Driven async communication methodologies to reduce communication frictions Nice to haves: - Proficient in Arabic - Past experience working in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations - Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and o

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Staff Engineer, Datacenter Server Lifecycle

Negotiable

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 is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Lead the build-out of automation to support datacenters containing tens of thousands of servers. - Define and own the end-to-end server lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications <li class="whitespace-normal break-words pl-2" data-s

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Staff+ Software Engineer, Databases

Negotiable

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 experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads. You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three. Key Responsibilities - Drive the technical direction for database solutions used across Product and Research - Design and implement database solutions that scale to support millions of users across Claude's product ecosystem - Build and scale database systems through 100x+ growth while maintaining reliability and performance - Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling. - Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments - Develop database infrastructure that serves both product and research workloads with different performance characteristics - Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization - Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct - Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work - Optimize database performance, reliability, and cost efficiency at scale - Make build-vs-buy decisions for database technologies Minimum Qualifications - Significant experience as a software engineer building and operating production database or storage systems - Deep knowledge of distributed database architectures and OLTP systems at scale - Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB) - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred Qualifications - 10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams - Experience scaling databases through periods of rapid growth at high-growth companies - Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally d

L

Deployed Engineer (Sydney)

Negotiable

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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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. About the role Location: Sydney, Australia - Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps - Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more - Give technical demos the entire suite of LangChain's products - Lead trainings and workshops on best practices, targeted at developer audiences - Collaborate closely with the enterprise sales team to win deals - Collaborate closely with engineering, helping translate customer insights and feedback into product improvements - Lead internally- and externally-facing, special projects that dogfood our new products How to be successful in this role - Engineers who love working with customers or are aspiring future founders - Deployed engineers / solution architects who have experience in the role at developer focused companies. - You have an engineering background and enjoy being a trusted partner to companies - You like to find a way to “make it work”. Bent towards action and service orientation. - You enjoy keeping up to date on the latest industry techniques - You’re comfortable presenting best practices to bigger teams - Bonus if familiar with LangChain or building with LLMs - Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus. - Ownership minded - Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering Compensation & Bene

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Product Delivery & Operations Lead

Negotiable

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Building custom AI applications that will impact millions of citizens and government employees - Generating high-quality training data for custom LLMs - Upskilling and AI advisory services to spread the impact of AI As Product Delivery & Operations Lead in Doha, you will be the operational cornerstone for a key strategic region, designing, building, and running the critical systems that enable the team's hyper-growth and delivery success. You will help translate vision into execution, streamline how our technical team builds and ships products, and ensure clarity, alignment and operational excellence across a growing global team. This is a role for someone who thrives at the intersection of product, people, and process - someone who can take ownership like a founder, operate like a systems designer, and execute like a product manager. What you'll do - Be the connective tissue across the Engineering, Product and Design teams - driving alignment, clarity, and prioritization across all initiatives and projects - Own knowledge management and internal tooling, ensuring the team operates efficiently at scale. Deep expertise in Notion is critical - you’ll design, manage, and evolve the team’s central knowledge base, project trackers, decision logs etc - Build and maintain systems for project tracking, staffing and performance reporting - Partner with Finance and Legal to streamline procurement, budgeting, and contract processes to positively impact delivery timelines. You’ll also support the team on revenue recognition tracking and spend monitoring for projects. - Design and operationalize new processes that make product development and data delivery faster, higher quality and more predictable - Serve as a force multiplier for technical leadership - helping anticipate needs, prepare materials and communicate priorities internally and externally - Lead internal enablement and upskilling initiatives, ensuring the team continuously improves its product development muscle. Ideally, you'd have - 5+ years of experience in product, strategy or business operations roles, preferably within a high-growth technology company or top-tier consulting/finance firm. - Proven ability to design and scale systems that help technical teams operate with clarity and velocity. - Exceptional analytical skills with a penchant for digging deep into the data, thinking from first principles, and iterating quickly to deliver results. - Strong familiarity with Notion, plus adjacent productivity tools (e.g., Asana, Airtable, Coda, Slack integrations). - Experience working in or with the Middle East, with an understanding of the regional business and regulatory environment, is a plus. - Fluency in English is required; proficiency in Arabic is a strong advantage. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide th

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Senior Staff+ Software Engineer, Node Infra

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research. Key responsibilities - Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair - Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families - Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity - Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others - Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) - Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 12+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency - Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines - Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons - Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. - Demonstrated ownership of production reliability for high-throughp

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Sr. Manager, Machine Learning Engineering - Game T...

Negotiable

Engineering managers at Riot are technical leaders first—they stay close to the craft, make grounded architectural decisions, and earn credibility through the quality of their technical judgment and its impact on Riot’s ability to deliver for players. They are deeply invested in people: building diverse teams, growing individual careers, and creating environments where engineers can do the best work of their lives. The best Riot engineering managers hold both of these responsibilities without trading one for the other. Anti-Cheat is Riot’s first defense against cheaters that don’t want to play fair. As a cross-discipline team of former cheaters, kernel developers, machine learning engineers, data analysts, and software engineers, they make products like Vanguard to detect and ban the bad guys across all of Riot’s competitive titles and platforms, staying vigilant to whatever shape they’ll take in response. From beaming bots to scorching scripters, anti-cheat enables Riot’s game teams to take on competitive genres and design rewarding systems that would otherwise be too vulnerable to fraudsters and cheaters. As a Sr. Manager of Machine Learning Engineering on Anti-Cheat , you will lead a group of teams, including Data Analytics, Data Engineering, and ML Engineering, unified in a quest to both operationally support day-to-day anti-cheat operations and cook the ML-powered weaponry that will ultimately upgrade them. You will own the entire group’s roadmap, ensuring a coherent technical approach to modelling, warehousing, and engineering across all of anti-cheat, while also fostering strong alignment with partnering games and organizations. Your responsibilities will include converting product priorities into tangible technical strategies, optimizing data team compositions to achieve these goals, and deeply contributing to all projects involved on a profoundly technical level. Your success will be measured through both the statistical and the perceived fairness of Riot’s competitive ladders. You will report to the Director of Anti-Cheat. Responsibilities - Use all of anti-cheat’s resources to help design, build, and maintain AI/ML pipelines from end-to-end, creating an iterative, ever-evolving series of classifiers, capable of adapting in perpetuity as attackers learn from its actions. - Leverage Riot’s centralized ML infrastructure where possible, upgrade it where necessary, and ensure that any realized technical capabilities can be capitalized on by other teams and products. - Innovate in the anomaly detection space by creating proven, trusted player outcomes from novel and even theoretical modelling approaches. - Drive AI/ML pipeline development and deployment standards across teams, coordinating with data engineering on shared MLOps capabilities. - Manage individual contributors and team-level managers of a variety of shapes: Data Engineers, Data Analysts, ML Engineers while also helping shepherd the unique “Anti-Cheat Analyst” craft that amalgamates detections, reconnaissance, and player support. - Evaluate overall team composition, identifying gaps in skills, seniority, and capacity that could impact roadmap delivery; take a proactive role in resource allocation and strategic development of team capabilities. - Clearly articulate and demonstrate good ML engineering practices; recognize when to lean in and help directly when necessary. - Ensure the group stays current with AI/ML developments and has high contextual awareness of company and industry direction; separate signal from noise in service of product and technical strategy. Required Qualifications <li&gt

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Senior Marketing Data Scientist

Negotiable

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Marketing Data Science team sits within the broader Product Data Science organization and provides comprehensive analytical support and thought partnership to Marketing to guide responsible and effective investment decisions. Our work centers on end-to-end measurement solutions that seek to quantify the true return of our marketing efforts—touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. Beyond measurement, we support KPI forecasting, budget allocation, self-service reporting, and a wide range of advanced statistical modeling solutions. As a Senior Data Scientist, you will take a hands-on role in answering complex marketing questions and navigating a dynamic, often imperfect data environment. You will leverage your strong analytical skills, technical depth, and business domain understanding to uncover insights, refine existing tactics, and help identify new opportunities to enhance Marketing’s impact. What you’ll do: - Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows. - Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions. - Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact. - Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity. - Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution. What you’ll bring: - 2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment. &lt

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Senior Machine Learning Engineer, Agentic AI

Negotiable

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 Agentic AI team builds agentic AI systems that power intelligent, reliable customer experiences across Robinhood products. The team focuses on reducing the time to ship agents with fine-tuned models and while doing so enables other teams to build, evaluate, and improve their own agents. You will contribute to a culture grounded in first-principles thinking, high performance, and strong focus on customer outcomes! As a Senior Machine Learning Engineer (IC5), you will define and uphold the quality bar for agentic systems across the organization. You will design evaluation frameworks, guide model selection, and partner with product, data science, and engineering teams to ensure systems meet clear standards for correctness, safety, latency, and user satisfaction. Your work will shape how agentic systems are built, evaluated, and improved across Robinhood! 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. This role is based in our Bellevue, WA, New York, NY, or Menlo Park, CA office, with in-person attendance expected at least 3 days per week. What you'll do - Lead the design and evolution of agentic AI systems that power intelligent customer experiences across Robinhood. - Define the technical direction for evaluating autonomous agents, including reasoning quality, planning, tool selection, memory, task completion, safety, latency, and overall user experience. - Design and build scalable evaluation frameworks for agentic systems using automated evals, benchmark datasets, LLM-as-a-Judge techniques, and human feedback to continuously improve agent performance. - Drive model selection and optimization across frontier foundation models, fine-tuned models, retrieval systems, and tool-using agents, balancing quality, latency, cost, and reliability. - Partner closely with Product, Data Science, and Engineering to establish launch criteria, quality standards, and measurable success metrics for production agentic systems. - Improve agent reliability by investigating production failures, identifying root causes across reasoning, planning, retrieval, and tool execution, and driving architectural improvements. - Mentor engineers and influence technical direction across teams while helping establish best practices for building reliable, production-ready agentic AI systems. What you bring - Significant experience

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Senior Software Engineer, People Ops and AI Tools

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Austin, US About the Role Cloudflare's People team supports 5,000+ employees globally. To scale, we are building an AI-driven operating layer on the Cloudflare Developer Platform to automate workflows, ensure data integrity, and streamline employee support. You will ship production systems for hiring, onboarding, and self-service, using AI to create leverage while designing rigorous guardrails for sensitive employee data. Leveraging Cloudflare Dev Platform primitives like Workers, Workflows, Access, Hyperdrive (Postgres), R2, and Workers AI / AI Gateway for durable, secure, and observable automation. Responsibilities - AI-assisted intake for request classification, retrieval-augmented responses, and case routing. - Recruiting automation for Greenhouse job creation and management chain synchronization. - Self-service tools for policy guidance, approvals, and employee lifecycle changes. - Durable multi-step Workflows for onboarding, offboarding, and recurring audits. - AI copilots that summarize context and suggest next actions for human review. - Data reconciliation systems and exception queues for cross-system accuracy. - Observable audit pipelines for explainable decision-making. - Custom interview automation and internal technical assessment tooling. - Design and operate AI-assisted workflows using the full Cloudflare stack. - Integrate People systems via secure API, OAuth, and webhook patterns. - Collaborate with HR, IT, Legal, and Security to translate operational pain into technical solutions. - Implement robust authorization, audit logging, and error handling for high-trust data. Desirable Skills, Knowledge, and Experience - Strong engineering background (TypeScript, Python, or Go) building internal tools or platform services. - Practical experience with LLMs, RAG, tool calling, and prom

A

Product Finance & Strategy, Monetization

Negotiable

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 Finance & Strategy team member to drive two of the most consequential financial workstreams at Anthropic: Model Monetization and Enterprise & Verticals. On one side, you'll own the economics behind how we price and package — spanning list pricing, tiering, and consumption mechanics across our model families. On the other, you'll serve as the Finance & Strategy partner to our Enterprise and Verticals product teams — shaping the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Together, these determine how the business world accesses frontier AI.. This is a high-ownership, high-autonomy role for someone who genuinely loves to model and is energized by hard, ambiguous questions. You'll connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and bring that same rigor to enterprise and vertical product investments. We're looking for someone opinionated and decisive, you'll be expected to form a view, defend it with rigorous analysis, and drive it to a decision. A deep, current obsession with AI and a perspective on where the field is heading will make you far more effective here. If you are passionate about applying financial rigor to the economics of frontier AI, join us in making AI safe and impactful. Key responsibilities - Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API - Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries - Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets - Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations - Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy - Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy - Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners - Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting - Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics M