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Regional Research Economist, Economic Research
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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis - Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning - Demonstrated experience working in, and relevant relationships across, the region - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Demonstrated ability to lead complex research projects from conception to publication - Demonstrated ability to communicate technical findings to diverse audiences - Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications - Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Strong interest in ensuring AI development benefits humanity - Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects - How Australia Uses Claude: Findings from the Anthropic Economic Index - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Compiler Engineer - New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The compiler team at SambaNova powers the RDU through a unique compilation strategy. By fusing kernels into dataflow graphs that run across the entire accelerator architecture, we avoid sequential kernel launches and eliminate the memory traffic that bottlenecks conventional hardware. This is a key differentiator and unlike any other product on the market. About the Role As a new grad Compiler Engineer, you'll work on core areas of our compiler, including the IR and pass infrastructure, model lowering and partitioning, tensor tiling, memory management, and mapping operations onto the fabric. Compiler and hardware design are closely linked here, and you'll see how compiler decisions affect chip performance. You'll write production code in C++ and Python, debug at a low level, and work with the runtime and hardware teams. Senior engineers will review your code and mentor you as you take on larger parts of the compiler. Responsibilities - Implement and optimize passes in the compiler's IR and pass infrastructure - Lower and partition machine learning models for execution on the RDU - Develop tensor tiling and memory management for on-chip memory - Map operations onto the RDU fabric to improve model performance - Debug compiler and performance issues at a low level in C++ and Python Required Qualifications - B.S. in Computer Science, Electrical Engineering, Computer Engineering, or related field - Experience in machine learning systems development, including ML compilers, LLM inference kernels, or kernel generation - Strong programming skills in Python and C/C++ - Experience programming GPUs or other AI accelerators Preferred Qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or related field - Experience with ML compiler frameworks such as MLIR or StableHLO - Experience with LLM kernel libraries - Machine learning systems research experience - Open source project ownership or contributions - Experience building AI agent driven tools or automation Base Salary Range: Base Pay Range $131,200 - $196,800 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Research Scientist, Life Sciences (Computational C...
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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities - Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage - Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners - Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams - Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next - Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes - Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications - PhD in chemistry, computational chemistry, or a related field - Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth - Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models - Comfort navigating ambiguity and defining problems in a rapidly evolving research environment - Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications - Experience with reinforcement learning, large language models, or building evaluations and benchmarks - Track record of supporting drug discovery programs alongside medicinal and synthetic chemists - Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data - Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry - Hands-on synthetic or medicinal chemistry experience at the bench - Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Security Architect - Healthcare & Life...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at some of the largest healthcare and life sciences organizations to address their most critical questions about deploying Claude safely and securely. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organizational requirements. You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in healthcare and life sciences, and can speak credibly to their security and compliance concerns. We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you. Responsibilities: - Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models. - Partner with CISOs, security architects, and compliance teams at healthcare and life sciences organizations to understand their security requirements and design solutions that meet regulatory standards (HIPAA, GxP, HITECH, SOC 2, PCI-DSS, GDPR, federal mandates, etc) - Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments. - Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance. - Collaborate with GTM and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment. - Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities. - Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries. - Lead enablement and create content for GTM and Applied AI Teams that helps them inform customers upstream about key security requirements and considerations. - Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings. You may be a good fit if you have: - 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (healthcare and life sciences). - Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements. - Experience navigating compliance frameworks relevant to healthcare and life sciences organizations (HIPAA, GxP, HITECH, SOC 2, PCI-DSS, and GDPR). - A track record of engaging with CISOs, security teams, and compliance officers at large enterprises. - Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity. - Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences. - The ability to navigate ambiguity and move fast in a rapidly evolving market. - A collaborative mindset: sales at Anthropic is a team sport. - Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly. 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: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployed Engineer, Post-Training
About the role As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to our most strategic customers: AI teams using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. FDE does not replace our Solutions Architects. You will work alongside them as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute behind it. You’ll make sure we can deliver on our post-training POCs, drive adoption of our fine-tuning and RL platform, and turn customer goals into measurable gains in model quality. Your work directly affects customer success, company growth, and the hardening of our core platform. Responsibilities - Data Strategy: Help customers define and execute their data strategy for model post-training, diagnose data quality issues that limit model performance outcomes, and provide recommendations for data generation for post-training scale - Algorithm Selection: Recommend the right post-training approach for each use case - Experiment Design & Hyperparameter Tuning: Design well-controlled experiments and tracking methods; diagnose training instabilities, reward hacking, and regressions. - Evaluation: Build evaluation frameworks with customers, including task-specific benchmarks, LLM-as-judge pipelines, and held-out test sets. Make sure gains are reproducibly aligned with production success metrics. - Model Selection: Guide base model selection methodology ahead of post-training efforts and baseline quality evaluations to guide post-training objectives. Interest in self-directed research of newly released open source models, particularly as they relate to post-training. - RL Workload Sizing: Scope and size RL and fine-tuning workloads, partner with sales and capacity teams to shape deals and capacity forecasts. - Strategic Customer Alignment: Serve as the primary post-training technical point of contact for aligned strategic accounts. Lead technical execution from scoping to production and make sure we hit critical milestones. - Product & Research Feedback Loop: Shape our fine-tuning and RL product roadmap with insights from the field. Contribute code, recipes, and reference implementations where needed, and drive early adoption of new features and research with strategic logos. Requirements - Experience: 5+ years in a technical role in ML engineering, Applied AI, Forward Deployed Engineering, or Solutions Architect, with recent hands-on experience post-training LLMs. - Post-Training Depth: Expert-level, hands-on experience with fine-tuning and/or RL for LLMs, including SFT, LoRA, DPO, and RL (GRPO, PPO, etc).. - Experimental Rigor: Strong track record designing experiments, running ablations, and building evaluations that separate real improvement from noise. - Data Intuition: Proven ability to build and iterate on training datasets - Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on which base model to post-train for a given customer requirements - Coding Proficiency: Strong Python skills; comfortable working in production environments. - Experience leading complex, customer-facing technical projects , with exceptional project management and communication skills. Able to work in a highly X-functional environment. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy
Member of Technical Staff, Traffic Infrastructure
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role: As a Member of Technical Staff on our Traffic Infrastructure team, you will own the traffic layer behind our generative AI platform: the proxies, load balancers, service mesh, and routing systems that move every request reliably across regions and cloud providers. This is a highly technical role that calls for depth in distributed systems, cloud networking, and infrastructure, along with the judgment to balance latency, cost, and operational simplicity. You will partner closely with ML, product, and platform teams, and help set the technical direction for the team. Key Responsibilities: - Architect and build scalable, fault-tolerant traffic and networking services, including ingress and egress, load balancing, routing, and quality-of-service controls. - Lead technical design discussions, mentor other engineers, and establish best practices for operating large-scale infrastructure. - Drive network optimization both inside and outside data centers, including cost reduction, performance tuning, and removing scaling bottlenecks. - Evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Envoy, Istio) to strengthen platform capabilities and reliability. - Own systems end to end, from design through deployment and observability, with an emphasis on high availability, disaster recovery, and operational excellence. - Develop and maintain comprehensive monitoring, alerting, logging, and tracing to give deep insight into system health and performance. Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). - 5+ years of experience building backend or network infrastructure in cloud environments (e.g., AWS, GCP, Azure). - Strong software development skills in languages such as Go, C++, Rust, Java, or Python. - Deep understanding of distributed systems and networking fundamentals, including performance optimization. - Full product lifecycle ownership, from design through implementation to production. Preferred Qualifications: - Master's or PhD in Computer Science or a related field. - Hands-on experience with traffic or edge engineering, service mesh, or cloud networking (e.g., Envoy, Istio, DPDK). - Deep Kubernetes experience, including ingress, network policy, and custom controllers. - Track record of improving performance, reliability, and cost-efficiency on high-throughput systems. - Experience leading projects across teams and coaching distributed engineers. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Senior AI Product & Partnerships Counsel
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway wearing multiple hats. As AI Product & Partnerships Counsel, your mission is to enable the company to ship better products faster and accelerate product and data partnerships and other go-to-market deals. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for building scalable initiatives across our product and commercial legal workstreams. You will serve as a strategic partner to product, engineering, partnerships, sales, marketing, and the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. What you’ll do - Become a go-to advisor for product legal matters, from design to launch, by providing pragmatic, product-motivated advice - Accelerate AI product development and integrations by building playbooks and streamlining legal review of partnership deals, including data partnerships, IP and model licensing, procurement, reseller, and marketplace agreements - Accelerate AI product adoption by closing deals with Runway’s strategic partners and customers. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, and order forms. - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow (and even shape) technical, legal, and policy developments in AI and translate them into practical product guidance - Implement practices allowing our legal team to scale our impact on the business, including enablement, self-serve resources, and AI-enabled automation What you’ll need - 6+ years of relevant experience, including in-house experience at a fast-paced technology company - Experience advising product development leaders and executives across a broad range of issues, especially IP and privacy - Experience closing partnership and go-to-market deals, such as data partnerships; IP and model licensing; robotics, hardware, and compute agreements; reseller; and other partner, customer, and vendor deals - Experience providing practical recommendations to senior leaders with limited time and information - Sound judgment in ambiguity: track record of gathering key information quickly and helping the business make smart decisions - Deep sense of ownership, whether you're advising our CEO on a novel legal issue or testing your new AI-enabled workflow for the nth time - Bias for action: why put something off if you can do it now? - Demonstrated interest in AI, creative tools or both - J.D. and admission in good standing with at least one state bar Nice to have - Generative AI models and agentic workflow understanding and interest - Experience closing strategic, IP-heavy partnerships - Experience in B2C and B2B industries and in product-led and enterprise businesses - Experience closing B2B SaaS customer deals - Big Law and/or hypergrowth tech startup experience Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Engineering - Internal AI Transformation
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 $22B - 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. The role / impact As an Internal AI Engineer at ElevenLabs, you'll be embedded at the frontier of how we scale - acting as a forward-deployed engineer across our GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and fundamentally reshape how our people operate. Your impact goes beyond the code. You'll own high-stakes automations from discovery to production, acting as a technical partner to internal teams. The patterns, guardrails, and tooling you define will become the blueprint other teams reach for - the standard for how ElevenLabs harnesses AI safely and at speed. The team / how we work You'll join a lean, high-velocity team with a shared obsession: turning broken, manual processes into elegant automated systems. We move fast through rapid experimentation, work closely with operators and business owners to uncover the real problem, and ship pragmatic solutions without waiting for perfect specs. What you'll actually be working on - Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n. - Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more - Building reusable automation services, patterns and shared templates that multiply the output of every team you touch - Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact - Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe What we're looking for - Proven experience building and shipping automations or applications in production - you know what it takes to go from fuzzy business pain to something real teams depend on - AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows. - Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers) - A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start - Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it. - Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. Specific teams may have specific location preferences. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Manager, Enterprise Sales - Asset & Wealth Managem...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities - Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales - Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion - Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them) - Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications - Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope - Experience building or meaningfully scaling a verticalized or multi-segment sales organization - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms - Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing - Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change 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: $450,000 - $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Tech Lead Manager, Core Apps Data Scientist
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 part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: - Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes - Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize - Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions - Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction - Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters - Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses - Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners - Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow You may be a good fit if you have: - Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI - Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
ML Infrastructure Engineer - New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The ML Infrastructure team builds and operates the inference stack that serves SambaNova's models on our RDU accelerators. We cover request scheduling, caching, decoding techniques, public APIs, and the accuracy testing that every inference feature must pass before it ships. About the Role As a new grad ML Infrastructure Engineer, you'll write production Python for our inference serving stack, including our vLLM integration and public APIs. You'll help bring features like speculative decoding, prompt caching, and tool calling into production on the RDU, and add accuracy and regression tests that catch problems before customers do. Responsibilities - Implement inference features on the RDU such as speculative decoding, constrained decoding, tool calling, prompt caching, and long-context inference - Adapt vLLM and related serving frameworks to the RDU architecture - Build and maintain endpoints in the public inference API - Write accuracy verification and regression tests for inference features - Debug latency, throughput, and reliability issues in production services Required Qualifications - B.S. in Computer Science, Electrical Engineering, or related field - Strong programming skills in Python - Understanding of algorithms, data structures, concurrency, and systems design - Coursework or project experience in distributed systems or machine learning - Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM - Experience with inference techniques such as speculative decoding, KV caching, or continuous batching - Experience with PyTorch Preferred Qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field - Experience building or maintaining APIs or backend services - Internship or research experience in ML systems or backend infrastructure - Experience with disaggregated systems - prefill/decode - Open source project ownership or contributions Base Salary Range: Base Pay Range $131,200 - $196,800 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
(Senior/Junior AI Inference Reliability Engineer,...
About this role We're looking for a software engineer, reliability-minded but still a builder, to own what happens in production to the Kubernetes-native control plane that provisions and runs our GPU inference fleet. The platform team builds the manifest-driven API and controllers that let the inference team declare what they need, a cluster, a model deployment, a capacity change, and get it reconciled underneath. Your job is to keep that promise true in the real world: triaging InfiniBand issues when prefill and decode nodes stall exchanging KV cache over RDMA, diagnosing hero-model and LoRA-serving faults that don't show up in generic health checks, and extending the automated self-healing system so each new failure mode becomes a permanent fix instead of a recurring page. The core value we're after is keeping the decoupling real even when things break, and keeping the fleet efficient without that efficiency becoming a new source of instability. You'll own SLOs and error budgets for inference serving, lead incident response, and turn what postmortems teach you into actual changes in the controllers and automation, not just updated runbooks. You'll also work the reliability side of capacity efficiency, since a mistuned defragmentation or bin-packing pass is itself a production risk. Strong candidates have hands-on production-reliability experience on large-scale distributed or GPU-serving systems, are comfortable troubleshooting InfiniBand/RDMA and Kubernetes controller/CRD-based platforms, and think about GPU infrastructure, and the tools that keep it reliable, as software to be engineered. A product mindset applies: the on-call experience, the clarity of an alert, and the judgment built into an automated remediation are things you ship and iterate on. Responsibilities - Operate the provisioning state machine in production: own the health of the host lifecycle pipeline, discovery, inference bring-up, GPU driver/CUDA validation, health checks, decommission/RMA, triaging stuck or failed state transitions at fleet scale and feeding real failure patterns back into how the states and transitions are designed. - Triage and extend automated self-healing: when the node-scanning and remediation platform misses something, a new failure mode, an InfiniBand issue in disaggregated prefill/decode serving, a GPU Xid variant, a hero-model or LoRA-specific fault, diagnose it live, drive the fix to production, and turn it into a new detection/remediation plugin so it's automatic the next time. - Own end-to-end reliability of the pipeline: hold the SLOs and error budgets for provisioning and fleet health, lead incident response when idempotency, retry, rollback, or drift assumptions break down in practice, and drive the systemic fix, not just the hotfix. - Partner with the inference/ML platform team from the production side: be the one who knows how real cluster topologies, interconnects, and scheduling constraints actually fail in the field, and feed those failure modes back as first-class requirements into the platform's abstractions. - Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production, enabling advanced research through awesome engineering. - Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. - Build tools to give us visibility into our bottlenecks and sources of instability, then design and implement solutions to address the highest-priority issues. - Lead reliability cross-functionally: build coalition across infra, ML platform, and product teams around shared reliability priorities, manage stakeholders through incidents and roadmap trade-offs, and represent the reliability point of view in planning so it shapes decisions before they ship, not after an outage. Requirements - Experience operating a provisioning or host-lifecycle pipeline in production, comfortable troubleshooting stuck or failed state transitions (discovery, bring-up, GPU driver/CUDA validation, health checks, decommission/RMA) at fleet scale, and translating real failure patterns back into improvements to the state machine’s design. - Deep experience owning production reliability for large-scale distributed systems; GPU/ML-serving infrastructure experience is a strong plus. - Hands-on experience troubleshooting InfiniBand/RDMA networking issues, ideally in a multi-node training or disaggregated-inference context — comfortable reading IB port counters and subnet manager logs, not just application metrics. - Familiarity with the operational realities of multi-tenant model serving (LoRA/adapter-based serving) and with running differentiated SLOs across model pools of different priority. - A demonstrated track record of eliminating operational toil through automation and tooling you built yourself, not just process or documentation. - Hands-on experience with Kubernetes controller/CRD patterns, reconciliation loops, and node-level health/remediation systems. - Comfort with event-driven architectures, backpressure/circuit-breaking design, and treating observability (metrics, logs, traces) as something built into a system, not added after an incident. - A software-engineering mindset first: you write and ship production code, and you think about GPU infrastructure as software to be engineered, not a fleet to be manually operated. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Member of Technical Staff, ML Platform
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A peek at our technical stack Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. What you'll do - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models What you'll need - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another Nice to have - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Research Engineer, Machine Learning
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Research Engineering team The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve. As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join: - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code. What You Will Do • Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools. • Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. • Design, implement and benchmark ML algorithms; write clear, efficient code in Python . • Deliver prototypes that become production-grade components for Vibe and our enterprise API. What We're Looking For • Master’s or PhD in Computer Science (or equivalent proven track record). • 4 + years working on large-scale ML codebases. • Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). • Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. • Strong software-design instincts: testing, code review, CI/CD. • Self-starter, low-ego, collaborative. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
GRC Specialist
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the role We're looking for a GRC Specialist to join our security and compliance team. You'll help us mature our compliance program across frameworks like SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR - supporting audits, managing risk, and partnering with engineering and operations teams to keep our controls effective as we scale. From day one you'll own operational cornerstones of our program, including user access reviews, our security awareness program through the Adaptive Security platform, and third-party risk management, with room to grow into broader audit and program leadership over time. This is a great fit for someone with a foundation in security or compliance who's ready to take ownership of meaningful work in a fast-moving SaaS environment. What you'll do - Own day-to-day GRC operations - including (but not limited to) user access reviews and certifications, security awareness and phishing/deepfake simulation facilitation, JML tracking, and triage and enforcement of policy and control exceptions. - Run the risk management program - perform annual and ad-hoc risk assessments, maintain the risk register, partner with risk owners on remediation, and track issues through to closure. - Manage third-party risk - run vendor and subprocessor risk assessments, conduct ongoing monitoring, and track remediation across our critical vendors. - Design and execute targeted internal audits to test control effectiveness, and facilitate or support external audit cycles by coordinating evidence, control owners, and remediation. - Own continuous control monitoring and evidence automation - administer our GRC platform, keep automated control tests and evidence healthy, and maintain audit readiness year-round rather than point-in-time. - Build and foster relationships with cross-functional partners across engineering, IT, operations, legal, and sales - meeting teams where they are rather than gatekeeping. - Partner with control owners to educate them on their control responsibilities, ownership, and expectations; prepare them for audits; and help them operationalize controls rather than treat compliance as a checkbox. - Keep the policy library current - review and update security policies, standards, and procedures so they stay practical and aligned to the frameworks we operate under. - Turn program data into action - translate access review, awareness, and risk findings into insights and metrics that flag high-risk users, teams, or behaviors, report to leadership, and drive targeted interventions. - Take on additional GRC projects as the program evolves; we're a growing team and priorities shift. How the role will grow As you build context on our environment and program, you'll take on broader ownership across third-party risk, audit leadership, and program maturity: - End-to-end audit leadership - move from supporting audits to owning them: scoping, auditor coordination, and driving the cycle to completion across frameworks. - Program and control maturity - lead control improvement and automation initiatives that raise the bar on how efficiently we run the program as we scale. - Leadership and influence - mentor newer team members, represent GRC in cross-functional projects, and help shape the direction of the program. What we're looking for - 5-7 years of experience in GRC, IT audit, information security, or a closely related field - Working knowledge of major security and privacy frameworks such as SOC 2, ISO 27001/27701/42001, NIST CSF, HIPAA, GDPR, or CCPA - Experience with GRC platforms (Anecdotes, Vanta, Drata, Secureframe, OneTrust, ServiceNow GRC) - Experience running user access reviews and a solid understanding of identity and access management concepts (RBAC, least privilege, segregation of duties, JML processes) - Hands-on experience administering a security awareness or phishing simulation platform (Adaptive Security, KnowBe4, Hoxhunt, Proofpoint, or similar) - Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS products are built and operated - Strong written communication; you can translate control requirements and security concepts into language engineers, customers, and non-technical employees understand - Detail-oriented and organized, with the ability to juggle multiple audits, campaigns, and deadlines - A collaborative mindset; you enjoy working across teams rather than gatekeeping Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Applied AI Engineer, Beneficial Deployments (Life...
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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: - Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. - Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. - Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. - Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: - 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. - Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. - Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. - Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. - A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Engineer, Product
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. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : - Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements - Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets - Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data - Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company - Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company - Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment - Influence the future roadmap of Product teams from a data systems perspective - Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: - 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. - A passion for the company's mission of building helpful, honest, and harmless AI. - Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. - Expertise in SQL and Python to transform data into accurate, clean data models - Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. - A bias for action and urgency, not letting perfect be the enemy of the effective. - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. - Experience building a Data Engineering (or similar) function at start-ups. - A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. - Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Financial Services
About the Team OpenAI is building AI products for serious professional work. We’re going deep on finance with a committed team focused on unlocking the potential of AI in this vertical: working closely with industry experts and users to build bespoke solutions that help finance professionals do real work. OpenAI’s Financial Services team works closely with customers to understand where AI can improve the economics and quality of financial work: faster diligence, broader research coverage, sharper client materials, more accurate models, and better investment analysis. Our work spans workflows across investment banking, equity research, private equity, asset management, wealth management, insurance, and other parts of finance. We bring together OpenAI’s models, financial data, and enterprise knowledge to build products that fit how financial professionals work. About the Role We’re looking for a Product Manager to help define and build OpenAI’s financial services products. Reporting to the GM of Financial Services, you will own product strategy, roadmap, and execution for key experiences, taking them from customer discovery and early prototypes through launch, adoption, and iteration. This is a hands-on role. You will spend time with bankers, investors, analysts, and other finance professionals; build and test early product experiences; and work closely with Engineering, Design, Research, and customer-facing teams to ship. You should have strong judgment about both the product experience and the work it produces. You will also form a vision for how AI can change the financial services space and can translate that into product execution. In this role, you will: - Own product strategy and priorities. Work with the GM to identify the most valuable customer problems and translate them into a clear roadmap. Make decisions about what to build, what to defer, and where partners or shared OpenAI capabilities can best meet the need. - Go deep on financial workflows. Sit with customers, observe how they work, and understand the documents they create, data they trust, tools they use, and standards they apply. Use those insights to design experiences that customers return to in their daily work. - Build and ship. Create working prototypes, demos, example outputs, and product requirements using Codex and other OpenAI tools. Partner with Engineering and Design to turn early concepts into reliable products, resolve dependencies, and drive delivery through launch and iteration. - Raise the bar for quality and trust. Work with Research and Engineering to turn real finance tasks and product failures into evaluations, datasets, and model feedback. Define what good looks like across accuracy, source traceability, completeness, and ease of review, while making practical tradeoffs across quality, latency, reliability, and cost. - Make products work inside financial institutions. Translate integration, data-access, privacy, security, and review requirements into product decisions. Work across Legal, Security, Partnerships, and core product teams to address deployment barriers and determine which needs require finance-specific solutions. - Measure results and drive adoption. Define success through task completion, output acceptance, repeat usage, time saved, and business impact. Combine product data, evaluations, and customer feedback to guide investment. Partner with GTM and customer-facing teams on pilots, onboarding, and launches, then use what you learn to improve the product. You might thrive in this role if you: - Have a track record of taking complex products from discovery through launch and sustained adoption, as a product manager, founder, or builder with substantial product ownership. - Understand financial work well enough to earn credibility with demanding practitioners. You may have built products for financial institutions or worked directly in investment banking, investing, equity research, corporate development, or related fields. - Combine strong product taste with attention to detail. You care about making complex workflows feel simple and can judge both the experience and the quality of its outputs. - Work comfortably with engineers and researchers on model behavior, data quality, integrations, and evaluations. You can distinguish a model limitation from a data, workflow, or product-design problem. - Use AI deeply in your own work and build prototypes to test ideas. You are willing to teach, onboard, debug, and inspect outputs alongside customers. - Know how to choose useful goals and metrics, test assumptions, and change priorities when the evidence changes. - Bring sound judgment about privacy, trust, and accuracy in consequential professional work. - Take ownership in ambiguous situations, drive decisions across teams you do not manage, and communicate clearly. You can set direction and stay close to the details required to ship. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Member of Technical Staff (Search Core DevOps Engi...
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.
Product Manager (ElevenCreative Self-Serve)
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 $22B - 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 a Product Manager to own the core ElevenCreative product experience for creators and marketers who sign up, subscribe, and build on their own. Self-serve users make up the majority of ElevenCreative’s user base, and they use the platform to generate and edit speech, music, image, and video across 70+ languages. You’ll drive growth and adoption across the self-serve product experience, focusing on how users discover what ElevenCreative can do, how they move from a first generation into agents, video, and multi-step creative workflows, and what keeps them coming back and upgrading. There’s no shortage of things we could build. The job is defining the big bets, scoping them well, and shipping them quickly with the team. PMs at ElevenLabs work in small, highly collaborative teams with minimal process, alongside engineers who have room to build creatively and lead. The scope is broad by design. Some weeks lean toward product, others toward growth or go-to-market work, and you’ll own whatever it takes to make ElevenCreative the best product for its users. What you’ll do - Drive growth and adoption of the self-serve product, focusing on onboarding, activation, and upgrade moments, and partnering with growth, lifecycle, and pricing teams where they connect - Scope and define the big bets for the self-serve product across image, video, music, agents, and editing workflows - Find the biggest opportunities in the user journey through product data and user behavior, and turn them into clearly scoped projects - Drive adoption of newer experiences like agents and video, helping users expand from a single product into the full platform - Work with engineering and design to ship quickly, mocking up early concepts yourself when it speeds things up - Partner with growth, lifecycle, and social teams on launches and the moments that bring users into new parts of the product - Define success metrics for your area and track activation, engagement, retention, and conversion to paid plans - Talk to creators and marketers regularly to understand how they work and where the product falls short, and bring those insights back to the team Requirements - 5+ years of product management experience on consumer or self-serve products - A track record of moving growth and adoption metrics through the products you’ve shipped - Deep familiarity with the creative space and the creators and marketers who use these tools, with a habit of bringing user insights into every product decision - Experience scoping and defining large, ambiguous bets and owning them end to end - Design-minded, with a high bar for quality and user experience and the ability to mock up concepts yourself - Technical fluency to go deep with engineers on how things are built and the tradeoffs involved - Strong analytical skills and comfort in product analytics tools to find opportunities and measure impact - A track record of shipping quickly and iterating based on what the data shows - Ownership pedigree, meaning you drive your own projects fully rather than handing off after the spec - Curiosity about AI and creative tools, and close attention to how the space is moving LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Staff Product Engineer, Enterprise AI
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At 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. Our small but growing distributed team includes more than 65 people across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, AI offerings, and enterprise-facing work to build independent, privacy-respecting alternatives to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s applications freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about Thunderbird and Mozilla: Thunderbird Technologies Corporation is the nonprofit-owned company behind Thunderbird email and a growing portfolio of products. While part of the Mozilla family, Thunderbird is a separate entity from Mozilla Corporation and Mozilla Foundation with its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io The opportunity Thunderbird is expanding beyond email with Thunderbolt, an open-source AI client designed for organizations that need more control over their data, infrastructure, and model choices. We’re looking for a Staff Full-Stack Product Engineer: a full-stack engineer who ships production code and works directly with the partners and enterprise customers adopting Thunderbolt. You’ll spend most of your time in the codebase, building the features, integrations, and customizations that real deployments need. The rest of your time goes to working alongside technical partners to get those deployments running and keep them healthy. Thunderbolt is delivered largely through technical partners and systems integrators who own the day-to-day customer relationship. You’ll be the engineer behind them. You’ll understand how a customer’s environment actually works, turn that understanding into working software, and fix the hard problems that need someone who knows the code. What you’ll do - Build and ship full-stack features, integrations, and customer-specific customizations in the Thunderbolt codebase, from front-end UI through APIs, services, and deployment configuration. - Work directly with technical partners and enterprise customers to understand their environments, requirements, and constraints, and turn them into technical plans and working software. - Support pilots, proofs of concept, and early production deployments, including partner-hosted and customer-controlled environments. - Diagnose and fix complex issues across the application, infrastructure, identity and access, integration, and data-access layers, including bugs and regressions that need a code change and a release. - Maintain customer-specific customizations over time so they keep working as the core product evolves. - Spot which customer requests should become general product capabilities, and work with product and engineering to build them that way rather than as one-offs. - Bring real-world deployment feedback into roadmap and prioritization discussions. - Write the documentation, deployment guidance, and runbooks that let partners handle routine issues on their own. - Use AI-assisted development tools thoughtfully to move quickly while keeping strong judgment about quality, security, and maintainability. What you bring - 10+ years of professional software engineering experience, including significant time building and shipping production applications with Staff-level scope and impact. - Strong full-stack engineering skills, including modern TypeScript or JavaScript, component-based front-end frameworks, and back-end services, APIs, and integrations. - Meaningful experience working directly with customers, partners, or systems integrators in a technical capacity where you also wrote the code. Forward deployed, embedded, consulting, and implementation engineering work all count. - Experience building or supporting AI-enabled applications, such as LLM platforms, RAG systems, agents, enterprise search, or data connectors. - Solid understanding of enterprise deployment concerns, including authentication and identity providers, access control, self-hosted and hybrid infrastructure, observability, and reliability. - Judgment about when to build something custom, when to generalize it into the product, and when to push back on a request. - Clear communication skills with both technical implementers and non-technical stakeholders, including being honest about what the product can and can’t do today. - Strong collaboration skills, including experience working closely with product managers, designers, engineers, and other cross-functional stakeholders. - Comfort operating independently in an early-stage product where requirements, architecture, and processes are still taking shape. Bonus points for - Experience with self-hosted, private cloud, sovereign, or regulated deployment environments. - Experience with Docker, Kubernetes, CI/CD, and cloud deployment. - Experience working with European enterprise or public sector customers, or with data residency and sovereignty requirements. - Experience supporting security reviews, privacy assessments, or enterprise procurement processes. - Open-source contributions, or experience in open, highly collaborative engineering environments. What success looks like In your first few months, you’ll help land Thunderbolt’s first enterprise deployments. That means shipping the customizations those customers need, getting partner-hosted deployments stable, and fixing the issues that only show up in real environments. Over time, success means each new deployment takes less custom work than the last. You’ll have turned one-off requests into reusable product capabilities, and partners will be able to handle routine issues without pulling in engineering. Work environment You’ll work with our passionate staff and open-source community members from all over the globe to support the mission and objectives of Thunderbird Technologies Corporation. In this role, you’ll also collaborate closely with engineering, product, design, enterprise-facing teams, technical partners, contractors, and external contributors working on Thunderbolt. This is a remote, full-time position. Many of Thunderbolt’s customers and partners are based in Europe, so some regular overlap with European business hours is expected. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. Compensation & benefits We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: - Canada: $155,000 - $185,000 CAD We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience. In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self. Work & career - Fully remote work & schedule flexibility - Company-provided laptop - Annual bonus program - Monthly remote work stipend - Annual professional development stipend - Access to Coursera l earning platform - Industry conferences - Company all-hands and team gatherings Rest & play - 24 days PTO per year (prorated) - Your birthday - Year-end company shutdown - 9 wellbeing days - Public holidays - Other paid leave - Quarterly wellbeing stipend for personal / family activities Health & family - RRSP contributions - Health, dental, & vision insurance - Disability insurance - Life insurance - Employee assistance program - Paid parental leave - Paid sick days Work eligibility Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to apply Please apply directly through our career page . We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration. Our commitment to diversity, equity, and inclusion Thunderbird believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Thunderbird will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation.
Product Designer, Claude Developer Platform
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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities 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 internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Designer, Consumer Verticals
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Consumer Verticals team explores how ChatGPT can become meaningfully more useful in important areas of people’s lives, including health, finance, and emerging agentic experiences. We work across research, engineering, product, design, and domain experts to turn increasingly capable models into intuitive, trustworthy consumer products. Our work combines the reach of ChatGPT with the depth required to serve distinct user needs responsibly. About the Role In this role, you’ll lead the end-to-end design of new consumer experiences across emerging verticals. You’ll explore how ChatGPT should adapt to different contexts, translate complex model capabilities into clear product interactions, and establish patterns that can scale across multiple domains. This is a highly generative, zero-to-one role. You’ll move between broad product vision and detailed interaction design, creating prototypes that help teams learn quickly and polished experiences that are ready to ship. You’ll also navigate domains where trust, accuracy, safety, and user agency are essential. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: - Shape the product and design direction for purpose-built consumer experiences across areas such as health, finance, and general consumer agents. - Design and ship high-quality products from early concepts and prototypes through detailed interaction design and final visual execution. - Define how ChatGPT should behave in different domains while preserving a coherent, distinctly OpenAI experience. - Explore new interaction models for AI systems that can understand context, support complex decisions, and take action on a user’s behalf. - Partner closely with research, engineering, product management, safety, and domain experts to turn technical capabilities into useful and responsible products. - Conduct and apply user research to understand the distinct needs, expectations, and risks within each vertical. - Balance specialized domain requirements with reusable patterns that can strengthen ChatGPT and accelerate future product development. - Contribute to OpenAI’s broader design culture and raise the bar for consumer product craft. You might thrive in this role if you: - Have substantial experience designing and shipping high-quality consumer software at scale. - Bring exceptional UX, UI, and interaction design skills, with a high bar for craft in every stage of the work. - Are a highly generative product thinker who can explore broadly, develop a strong point of view, and turn ambiguity into clear product direction. - Have led zero-to-one initiatives or introduced new product categories, behaviors, or interaction models. - Can simplify complex systems without hiding the details users need to make informed decisions. - Have strong instincts for trust, safety, transparency, and user control—particularly in consequential or sensitive experiences. - Can move fluently between domain-specific problems and broader systems or platform thinking. - Communicate through compelling narratives and prototypes that build alignment across design, research, product, and engineering. - Are excited to define how AI-first consumer products should look, feel, and behave as models become more capable and agentic. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sr./Staff Product Designer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future. What you’ll do - Lead design projects, including new features and improvements to our mobile and web platforms - Produce, iterate, and prototype concepts for creative workflows - Collaborate closely with the engineering and product teams to suggest product and process improvements - Contribute to maintaining visual and user experience consistency across our products What you’ll need - Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills - Understanding of modern web technologies, web interactions, and usability standards - Experience delivering and iterating fast in close collaboration with engineering, product, and data teams - Ability and flexibility to iterate fast and often - Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know - Knowledge and understanding of the creative tool space - Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.) - At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Product Manager, Technology Vertical
About the Team The Technology Vertical team builds within Core Products. The team’s mission is to transform every major function in a technology company with AI to drive higher economic output, while people remain owners of the outcomes: setting intent, applying judgment and craft, directing iteration, and owning the result. About the Role As a Product Manager on the Technology Vertical team, you will shape how knowledge workers use AI in their daily work. You’ll craft enterprise products at the intersection of novel research capabilities and genuine enterprise needs, driving the full feedback loop from research, to product, to OpenAI’s own enterprise functions, to the broader Technology Vertical. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the product roadmap for a line of business within tech verticals, using OpenAI’s organization to test, refine, and scale new workflows. - Develop the ecosystem strategy across technology partners in your line of business You might thrive in this role if you: - Have built enterprise products for non-developer knowledge workers and understand the needs of both individual contributors and organizational buyers. - Can turn complex workflows, integrations, and permission requirements into clear product decisions. - Are comfortable developing a strategy while working closely with engineers, customers, and cross-functional partners to ship and learn. - Bring strong judgment about which vertical-specific needs should become reusable capabilities across a broader product. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Manager (Technical), Product Support Exper...
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, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. - Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. . - Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. - You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. - You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities - Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. - Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it: inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. - Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. - Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. - Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. - Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. - Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. - Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have - 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams - Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers - Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly - Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision - Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership - A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that - Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust - Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: - Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. - Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. - Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. - Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). - Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. 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: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
VP Product, Cloud & Inference
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Mistral is building a sovereign AI cloud. Our product surface is expanding fast - GPU clusters, compute orchestration, storage, networking, serverless containers, inference, and training. We're hiring a VP Product to own our cloud infrastructure and inference portfolio end to end : the foundational systems that power Mistral's datacenters, and the inference platform that brings the world's most advanced generative AI models to production. This is a broad mandate. You'll own both scopes and, as the business scales, build the organization and stream leadership to delegate them. You'll define the vision, hire and grow the team, and set the operating rhythm that lets a fast-moving org deliver with focus. This is a highly visible role with the opportunity to shape how Mistral's technology is adopted globally and to unlock a major new line of business. What You'll Do - Strategy & vision Define and evangelize the product vision, strategy, and annual goals for our Inference and Cloud products, aligned with customer needs, company objectives and market trends. - Go-to-market Own adoption, revenue contribution, and gross margin. Partner with marketing and GTM teams on positioning, pricing and packaging, launch plans, and adoption strategy. - Team leadership Build the product organization for these products: hire product managers and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews), and develop PMs through clear growth paths. - Customer & market fit Work directly with AI-native startups and enterprises running advanced AI workloads to drive product–market fit across the portfolio. - Delivery & execution Partner with engineering leadership to build a world-class compute infrastructure and inference platform delivering high-performance, cost-efficient AI at scale, with reliability, SLAs, and cost-per-token economics as first-class product concerns. - Market & technology insights Track the competitive landscape and emerging technologies across AI infrastructure and managed inference to inform product strategy and identify new opportunities - Research & open source Partner with research and engineering teams to turn emerging model architectures and advances in open-source inference into product opportunities that improve performance and efficiency What We're Looking For - Extensive experience in tech and infrastructure, including significant time leading product organizations with a proven track record of bringing cloud infrastructure, large-scale distributed systems, or inference products to market. - Engineering background prior to moving into product management - You've taken an infra or inference product from early stage to material revenue and adoption. - Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences. - Fluency in the economics of the business: comfortable owning gross margin, unit economics, and the tradeoffs behind pricing and capacity. - Ability to align and inspire cross-functional teams without direct authority, and to communicate credibly with executives, engineers, and customers. - Low ego, high bias for action, and comfort in ambiguity — equally at home crafting a strategy narrative and diving into metrics, a UX detail, or a customer escalation. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Product Operations Manager (DesignOps)
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Product Operations Manager (Design) , you will sit within Mistral's Product Operations function, with a focus on streamlining the operations of the design team. You will own how the Design team operates as a system — its cadences, its rituals, its coordination, and the connective tissue that lets designers focus on design. This role exists because a design org at our scale needs someone whose full-time job is the operating system itself: defining it, holding it, and continuously tuning it so the team runs with a heartbeat rather than on ad-hoc heroics. You will own the team's weekly and quarterly cadences — from leadership syncs to planning, retros, and share-outs — and establish how we track work, surface it outward, and make decisions. You'll design the forums where decisions get made and recorded, keep the rituals that create alignment, and aggressively cut the ones that are just overhead. Equally, you are the bridge across the org. You will coordinate the interlocks between Brand and Marketing for upcoming launches, and between Product and Product Design for the build pipeline — so interdependencies are understood and planned for, not discovered at the last minute. You will partner closely with marketing, PMs, engineering, GTM to align design work with go-to-market timing and surface what's shipping before it ships. This is a team-of-one role with a founding design-ops mentality. You will build the discipline from scratch, automate repetitive coordination with AI where it helps, and coordinate people where it matters. You report to the Head of Product Operations, working day-to-day with the Head of Design and the design team. What You Will Do - Define the operating system of the design team — the cadences, forums, rituals, and source-of-truth that keep the team aligned and moving forward. - Own the weekly and quarterly cadences, from leadership syncs and critiques to planning, retros, and headcount-cycle inputs. - Coordinate the Brand × Marketing and Product × Product Design interlocks so design work is surfaced with enough lead time and dependencies are planned, not discovered late. - Establish how the team tracks and shares out work — a single source of truth for status, and the forums where design is made legible to the rest of the org. - Design and hold decision-making forums so decisions get made, recorded, and not relitigated. - Separate ritual from overhead — keep the cadences that create alignment and cut the ones that are just tax. - Automate repetitive coordination, reporting, and tracking with AI so the team spends time on design, not admin. - Bring the wider Product Operations toolkit to the design team — data and analytics for transparent reporting, structured feedback loops and early-access programmes, and launch coordination that aligns design work with product release cycles and go-to-market timing. - Partner with marketing, PMs, engineering and GTM to align design work with go-to-market timing and surface what's shipping. What We're Looking For - 6–10 years of experience in design operations, product operations, program management, or a chief-of-staff role within a creative or product organization. - A founding design-ops mindset — you've built operational disciplines from scratch, not just maintained inherited ones. - Comfortable automating with AI tools to remove repetitive overhead, while equally skilled at coordinating people and building coalitions without authority. - Strong systems thinking — you design repeatable rhythms and processes, not just run meetings. - Design literacy — enough background to have felt the pain designers feel and to be credible with the team. - A make-it-happen attitude: positive, bias to action, unblocks rather than escalates. - Excellent communication and synthesis skills — you turn scattered signals into a shared source of truth. - Ability to thrive in ambiguity and define your own scope in a role with no playbook and no team to delegate to. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Principal Product Marketing Manager
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Principal Product Marketing Manager to lead product positioning, portfolio strategy, and sales enablement for SambaRack and SambaStack. This role will define how SambaNova presents its purpose-built AI infrastructure to the market, translate product differentiation into clear customer value, and equip the field with the narratives and tools needed to win. About the Role This is a principal-level product marketing role for an experienced strategist and hands-on creator who can move from market insight to a crisp product narrative, and from that narrative to the launches, messaging, presentations, one-pagers, competitive guidance, and training used across the go-to-market organization. You will own the market-facing strategy for SambaRack—the turnkey, rack-level system built around SambaNova RDUs for large-scale AI inference—and SambaStack—the full-stack enterprise AI platform that combines hardware and software for deployments on premises or through dedicated cloud hosting. You will partner closely with Technical Product Marketing, Account Executives, and Field Marketing to turn technical proof, customer needs, and field insight into differentiated product messaging and scalable go-to-market execution. Technical Product Marketing will contribute deployment-oriented technical content and demonstrations, while you will own product and portfolio positioning, audience and use-case strategy, launch narratives, competitive differentiation, sales enablement, and consistent market execution. Responsibilities - Own positioning, messaging, value propositions, personas, priority use cases, packaging narratives, and competitive differentiation for SambaRack and SambaStack - Define the portfolio story that connects purpose-built RDU hardware, rack-level infrastructure, full-stack software, model serving, and deployment flexibility into a clear customer value proposition - Build differentiated messaging for enterprise AI teams, infrastructure leaders, data center operators, inference providers, sovereign AI initiatives, technical evaluators, partners, and the field - Lead go-to-market strategy and launch planning for major SambaRack and SambaStack capabilities, working across Product, Engineering, Sales, Communications, Developer Relations, Partner Marketing, and Design - Develop high-quality sales enablement, including pitch decks, solution presentations, one-pagers, battlecards, discovery guidance, objection handling, competitive plays, and executive-ready content - Create market-facing content such as product briefs, web copy, launch assets, blogs, customer presentations, thought leadership, and solution narratives - Partner with Technical Product Marketing to translate deployment experience, technical proof, and demonstrations into sharper positioning and more useful seller guidance - Work with Account Executives and Field Marketing to refine product messaging around customer needs, activate it through field and regional programs, and build scalable enablement for customer conversations - Equip sales, solutions, partners, and customer-facing teams with repeatable training and content; measure adoption and improve materials based on field feedback - Lead market, customer, and competitive research to identify emerging needs, sharpen differentiation, inform roadmap discussions, and improve go-to-market priorities - Build customer proof points, references, use cases, and stories that make SambaRack and SambaStack value concrete - Establish messaging governance and reusable frameworks that keep product, sales, web, campaign, partner, developer, and executive narratives aligned - Define success metrics for launches, enablement adoption, message pull-through, content usage, field readiness, and business impact What We’re Looking For - 10+ years of experience in B2B product marketing, product strategy, technical product marketing, or a closely related role, including ownership of complex enterprise technology portfolios - Deep fluency in AI infrastructure, enterprise AI, semiconductors, data center systems, cloud platforms, or another technically complex market - A track record of creating differentiated positioning for integrated hardware-software products and translating it into launches, sales enablement, content, and measurable go-to-market outcomes - Exceptional writing, editing, presentation, and narrative-development skills across executive, business, field, and technical audiences - Strong strategic judgment paired with a willingness to build the deck, write the one-pager, develop the battlecard, edit the web page, and deliver the training - Experience influencing executive leaders and coordinating Product, Engineering, Technical Product Marketing, Account Executives, Field Marketing, Communications, Design, and partner stakeholders without direct authority - Ability to operate independently, prioritize high-leverage work, and bring structure to ambiguity in a fast-moving environment Preferred Qualifications - Experience marketing AI inference platforms, accelerator systems, turnkey data center products, full-stack enterprise platforms, or cloud infrastructure - Experience developing product and portfolio strategy across related hardware and software offerings - Experience building a sales enablement program with measurable adoption, field readiness, and business impact - Familiarity with enterprise buyers, infrastructure decision-makers, technical evaluators, inference providers, partner ecosystems, and managed-service use cases - Experience leading category creation, a major product launch, competitive repositioning, or a portfolio-wide messaging transformation - A portfolio of high-quality positioning, launch, enablement, thought-leadership, or product-marketing work Why This Role Matters SambaRack and SambaStack give SambaNova a differentiated product story spanning purpose-built hardware and a full-stack enterprise AI platform. This role will make that story clear, consistent, and commercially useful—shaping how the market understands the portfolio and giving sellers and partners the positioning and tools they need to create demand and win. Base Salary Range: Base Pay Range $227,000 - $278,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Staff Product Manager, Moderation
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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . What You'll Do: Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. Moderators are the heart of that ecosystem: they shape community norms, keep spaces healthy, and help communities grow. As Reddit continues to scale globally, this role will help define how we support moderators, reduce the burden of running healthy communities, and evolve moderation from reactive manual work into proactive, intelligent systems. We are looking for a Staff Product Manager to help define the future of moderation on Reddit. This is a rare opportunity to lead zero-to-one product work at the intersection of user-facing experience, community governance, and cutting-edge LLM systems. You will help Reddit move beyond legacy moderation approaches toward proactive, intelligent, and scalable community enforcement. This role is for a PM with exceptional product judgment, strong user intuition, and enough AI/ML depth to partner closely with Engineering, Data Science, Design, and Safety. The right person can shape compelling user experiences, reason about model quality and tradeoffs, and create clarity in a high-stakes, high-visibility space where the product, technical, and ecosystem decisions all matter. Responsibilities - Identify Reddit’s highest-impact opportunities to evolve evolve community enforcement and moderator workflows, and turn them into a clear product strategy and roadmap. - Lead zero-to-one development of LLM-powered moderation experiences that are critical to how Reddit scales healthy communities globally. - Build a deep understanding of moderators, community members, and healthy community dynamics, and translate those insights into high-quality product experiences. - Define success metrics and model/product evaluation criteria that connect user value, community health, and Reddit’s broader strategy. - Reason about AI/ML quality, including precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops. - Assess high-stakes ecosystem tradeoffs across community health, moderator trust, user trust, safety, and product quality. - Partner with Engineering, Data Science/ML, Design, Safety, Consumer, and senior leaders to drive execution in a highly visible company priority. - Communicate strategy, decisions, tradeoffs, and learning clearly to executive stakeholders. Must Haves: - Staff-level product experience owning meaningful consumer surfaces or systems with measurable user impact. - Exceptional product sense across user intuition, problem framing, prioritization, UX judgment, and product taste. - Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. - Experience building AI/ML-powered products, with fluency in model evaluation and product/model tradeoffs. - Strong analytical judgment, including defining metrics, interpreting evidence, and changing direction when needed. - Excellent cross-functional leadership with Engineering, Data Science/ML, Design, Safety, and partner teams in ambiguous, technically complex spaces. Nice-to-Haves: - Experience with community, social, creator, UGC, trust/safety, or moderation products. - Experience with ML-heavy consumer surfaces or policy-sensitive AI experiences. - Experience replacing mature systems with a new product paradigm in complex, matrixed organizations. 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 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Product Designer, Safeguards
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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities 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 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Platform
What you’ll do - Understand the needs of the teams that use our platforms and the customers who depend on them. Use product data, operational feedback, and recurring quality issues to identify the highest-impact problems, and then solve them. - Turn recurring needs into shared services, tools, and workflows that reduce duplicated work. Exercise judgment about when to build a reusable capability, use an existing solution, or take a simpler approach. - Work directly with product, engineering, and operational teams to understand their workflows, identify recurring problems, and anticipate the capabilities they will need next. - Prioritize platform investments across new product enablement, reliability, efficiency, and technical debt. Make clear tradeoffs between near-term delivery and long-term flexibility. - Define and track success through business impact, reliability, cost to serve, and reduced manual work, connecting these measures to customer and business outcomes. - Partner closely with engineering on technical tradeoffs, build-versus-buy decisions, and rollout plans. Write clear requirements and drive delivery from problem definition through launch and iteration. Qualifications - Experience owning product strategy and execution on technical products and platforms, or shared systems used by multiple teams such as billing and monetization, identity and access, developer platforms, data and experimentation, internal tooling, support, etc. - Strong technical fluency. You can reason about APIs, data flows, system dependencies, and failure modes, and work closely with engineers on consequential tradeoffs. - Strong analytical skills. You can investigate problems independently, define meaningful metrics, and evaluate the impact of platform investments. - Strong written and verbal communication, with the ability to align teams around priorities and make difficult decisions when their needs compete. - High ownership and sound judgment in a fast-moving environment. You are comfortable moving between long-term strategy and hands-on execution without adding unnecessary process. - A focus on customer outcomes and product quality, including when your immediate users are internal teams. Where this person needs to spike - Systems thinker, detail-oriented, problem solver. This person needs to have experience wrangling thorny, complex problems. We need someone that is excited about diving into messy workflows, reading through dozens of support tickets, thinking through edge cases no one’s thought of, assuming different behavior across platforms, proactively considering enterprise vs. consumer workflows, etc. - Experience working on platforms with multiple stakeholders and non-trivial tradeoffs. This person is building products simultaneously for customers, agents, and other internal employees. - Is “AI-native.” Can build AI products whose outputs require evaluation, safeguards, and human-in-the-loop design. - Strong analytical skills and experience defining metrics in ambiguity, breaking down workflows, and using quantitative and qualitative evidence to prioritize. - Some experience working on critical software: support platforms/agents, legal/compliance tooling, identity and account tooling, billing, fraud, trust-and safety, etc. - High-ownership. This person needs to feel dissatisfied by the current support flow, and hungry to do whatever it takes to clear the backlog.
Product Designer, Higher Education
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Education team is focused on making AI safe, useful, and empowering for students, faculty, and institutions. Our work spans core learning experiences, course-based tools, and campus-wide product solutions. We’re also exploring how OpenAI’s technology can support colleges and universities, educators, teaching and research, and collaborative learning. About the Role We’re looking for a staff-level product designer to shape how students and educators engage with AI and help define OpenAI’s emerging higher education experiences. You’ll work across immediate product needs and ambitious zero-to-one opportunities, from core learning and course experiences to campus-wide tools for teaching, research, and collaboration. A high craft bar is imperative. You’ll be expected to pair exceptional interaction and visual design with deep product thinking—turning complex questions around safety, learning, and institutional needs into experiences that feel clear, trustworthy, and engaging. This is a highly generative role for someone who can move from early exploration to concrete, high-fidelity product direction. You’ll partner closely with product, engineering, research, safety, policy, and design to establish durable patterns for a space that is still being defined. In this role, you will: - Establish an exceptionally high standard for craft across OpenAI’s higher education experiences. - Lead end-to-end design for products that help students, faculty, and campus staff use AI safely, confidently, and productively. - Design clear, trustworthy experiences for learning, course participation, and campus-wide use, including sensitive or high-trust interactions. - Shape zero-to-one higher education experiences spanning colleges and universities, educators, courses, collaborative work, and builder-style workflows. - Turn emerging ideas into compelling concepts, prototypes, and high-fidelity product experiences that teams can evaluate and build. - Partner with research, engineering, product, safety, policy, and design to balance user needs, technical capabilities, and responsible deployment. - Conduct and apply research with relevant users and partners to understand the needs of students, faculty, campus staff, and institutions. - Develop reusable patterns and principles that create coherence across core learning, course, and campus-wide products as the area grows. You might thrive in this role if you: - Bring exceptional interaction and visual design craft and are motivated to raise the quality of design across OpenAI. - Are a highly generative designer who explores broadly, iterates deeply, and turns ideas into concrete, polished product direction. - Pair strong craft with deep product and systems thinking. - Have led substantial, ambiguous, or zero-to-one product areas and can help shape both vision and execution. - Can design thoughtful experiences for sensitive, high-trust, or safety-critical contexts. - Understand how to create products that are engaging and intuitive without compromising safety or clarity. - Can navigate the needs of multiple audiences, including students, faculty, campus staff, administrators, and institutional partners. - Communicate clearly, build alignment across disciplines, and remain hands-on throughout the product-development process. - Are energized by the opportunity to define how AI can support learning while serving higher education communities responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Member of Technical Staff, Growth
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We're building a new Product-Led Growth (PLG) team, and we're looking for a creative, high-agency product engineer to be one of its first engineers. You'll build Fireworks' growth platform: the systems and experiences that take a developer from first visit, to first successful API call, to a long-term, expanding customer. There's an early roadmap ready, but the market moves quickly, and you'll be expected to help diagnose customer problems, ideate on solutions, and experiment to find what works. The surface area includes signup, onboarding, docs, the API and playground, model choice, errors, pricing, billing, and lifecycle messaging, across inference, training, and the rest of the platform. Some of what's on the table: - Acquisition to product. Connect how developers discover Fireworks to what they do once they arrive, so every first experience feels built for them. - Activation and onboarding. Cut time to first working request. Useful errors, docs that match the product, the right default model, and a reason to come back. - Experimentation. Build the tools and habits that let the whole company test ideas fast and learn from them. - Trust at scale. Make getting started effortless while keeping the platform safe and reliable for everyone. - Monetization and expansion. Help developers grow with Fireworks, from first project to production scale. What You'll Do - Own developer outcomes end to end: find the problem, shape the solution, prototype, ship to production, instrument, and learn from the results. - Build the growth foundations the team doesn't have yet: event tracking, funnels, an experimentation framework, and lifecycle messaging. - Design and run experiments with rigor (clear hypotheses, the right metrics, honest readouts), and know when to ship an obvious win without a test. - Talk to developers directly. Watch them build, see where the first call fails, and bring that back as working code. - Craft polished, fast, accessible experiences on our marketing site and in the product. - Dig into funnel and cohort data to find the next bet, and communicate what you find clearly. - Work closely with product, design, marketing, data, and sales, so self-serve growth works alongside our sales-led motion. - Use AI coding tools to move quickly, while owning the quality of everything you ship. What We're Looking For - 5+ years building and shipping user-facing products, including real time on product or growth surfaces as a senior, staff, or founding engineer. - A track record of moving business metrics. You can point to specific numbers you changed and how. - Strong full-stack skills: TypeScript/React on the front end, plus backend services (Go a plus), APIs, data models, and SQL. - A product engineer mindset. You define the problem and the solution, not just the implementation. - A designer's eye. You care about interaction details, copy, and how a flow feels, and you can make a technical product feel simple. - Hands-on experience with A/B testing, funnel analysis, and product analytics. - Genuine high agency. You've started things nobody asked you to, pushed them through without a mandate, and owned the result when it didn't work. - A bias toward action. You ship in days, not quarters, and you'd rather pick the right problem than wait to be assigned one. - Comfort in ambiguity, and the ability to lead without authority across product, design, marketing, and data. - Clear written and verbal communication with engineers and non-engineers. - A Bachelor's or Master's degree in CS, EE, or equivalent experience. Nice to Have - Growth, activation, or monetization experience at a developer-tools, API, or infra company. - Experience building developer-facing products (APIs, SDKs, dev tools, consoles). - Experience with consumption or usage-based pricing and billing. - Experience building PLG or self-serve inside a company that also sells top-down. - Experience with trust & safety or identity systems. - You've built with LLM APIs and have opinions on what great developer onboarding for AI looks like. - A portfolio, side projects, or launches that show your taste and range. Non-traditional paths welcome. We care about what you've shipped and the judgment behind it. How We'll Evaluate We'll look closely at work you personally identified, built, and shipped, and what you learned after launch. Come ready to walk us through a time you saw a problem no one owned, decided to fix it, and drove it to a measurable outcome. Expect a practical product and engineering exercise, not pure algorithm puzzles. Fireworks AI is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Data Engineer, Billing & Payments
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 Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions. Key responsibilities - Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements - Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets - Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems - Define success metrics for billing systems, and build the data models and monitoring to track them - Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data - Share on-call and data operations responsibilities for Finance Data Engineering pipelines - Build dashboards and self-serve data products that track core metrics and deliver insights across the company - Promote best practices for dbt, data modeling and SQL - Influence the Billing Engineering roadmap from a data systems perspective - Build a thorough understanding of our data models and data architecture Minimum qualifications - Experience as a Data Engineer, Analytics Engineer or in a similar role - Experience with SQL and Python, and building multi-step data pipelines with tools like dbt - Experience with workflow orchestration tools like Airflow, and version control with GitHub - Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems - Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams - Ability to prioritize and deliver practical solutions quickly - Willingness to solve problems end to end, including work beyond the original scope - Ability to define next steps and keep work moving when requirements are unclear - Interest in Anthropic’s mission of building safe and beneficial AI Preferred qualifications - 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role - Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation - Experience building an analytics or data engineering function from an early stage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Infrastructure Security Engineer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role * Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. What you'll do - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off What you'll need - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company Even better if you have - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Full-Stack Engineer - ElevenAPI
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 $22B - 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 looking for a Full-Stack Engineer to make building with ElevenLabs easier, from a developer's first API key to a successful production integration. Developer Growth owns the surfaces developers and their agents use: our SDKs, API, documentation and ElevenAPI dashboard. This role focuses on the dashboard and product flows, helping self-serve and enterprise developers get started, understand their usage and get more value from ElevenLabs. You will join a small, remote team and own features across frontend and backend. You will use direct user feedback and experiments to decide what to build, combining strong engineering with a careful eye for developer experience. Your responsibilities will include: - Improving the ElevenAPI dashboard so developers can manage integrations and understand how their applications and agents use ElevenLabs. - Streamlining onboarding, helping developers create API keys, get started with agents and reach their first successful integration. - Designing and shipping experiments to improve activation, API key creation and self-serve subscriptions, then using the results to guide further changes. - Owning features from discovery and design through frontend, backend, deployment and iteration, working closely with the team and learning from users. There is scope to grow into technical and team leadership over time, depending on your experience and impact. Requirements - Strong full-stack engineering skills, with particular strength in frontend development and confidence building backend services and APIs. - Strong product judgement and attention to UX, with evidence of making complex workflows intuitive for developers. - Experience using user feedback, product data and experimentation to prioritise work and improve measurable outcomes. - Independent, end-to-end ownership, clear communication and genuine enthusiasm for developer tools and developer experience. Prior generative audio experience is not required. Experience building developer-facing products, API dashboards or onboarding flows is particularly valuable. Previous technical or team leadership experience is a plus. Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Strategic Transactions & Partnerships Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Strategic Transactions & Partnerships Counsel, you'll be a foundational member of a growing legal team, leading our most complex and consequential commercial deals. You'll operate at the intersection of large-scale procurement, strategic commercial partnerships, and model licensing — structuring and negotiating novel, high-stakes agreements that shape the trajectory of the business. This is a role for someone who thrives in legally unsettled territory and understands the AI ecosystem from the inside. This role initially reports to the General Counsel. What you'll do. - Negotiate and structure complex agreements, including commercial transactions, strategic partnerships, large-scale compute procurement, and licensing arrangements. - Serve as the legal architect on first-of-their-kind deals where there's no template to work from. - Partner directly with executive stakeholders to align deal strategy with business objectives. - Advise on the commercial and strategic implications of the evolving AI landscape. - Help build the transactional infrastructure and playbooks a scaling legal function needs. Minimum Qualifications - 9+ years of relevant experience, with significant complex commercial transactional work, ideally spanning law firm and in-house. Experience in hypergrowth environments preferred. - A JD and membership in at least one US state bar. - Demonstrated experience leading sophisticated deals — procurement, partnerships, licensing — independently and end-to-end. - Deep familiarity with the AI ecosystem and the novel legal questions it raises. - Strong executive presence and the judgment to navigate ambiguity with confidence. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Finance Data Scientist
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 $22B - 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 Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. - Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. - Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong. - Build forecasting and scenario models that FP&A uses directly in planning and board reporting. - Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis. Requirements Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company. - Strong SQL and Python , with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse. - Finance fluency : ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language. - Rigour around data quality : you reconcile by default and can explain a variance, not just report it. - Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks. Bonus - Experience preparing finance data for audit, SOX or IPO readiness. - Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business. - Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers. Growth potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Grow into a Lead Finance Data Scientist role as the central Data team scales. - Expand scope into broader strategic finance or RevOps analytics. - Path into a Head of FP&A Analytics or data leadership track. Location This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Legal Operations Specialist
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As our Legal Operations Specialist, you'll build the systems and infrastructure that let a founding legal team scale. You'll own the evaluation and implementation of our legal tech stack, stand up our contract lifecycle management system, and serve as the connective tissue between legal and the cross-functional partners who depend on clean contract data. This is a build-from-the-ground-up role for someone energized by turning a scrappy legal function into a well-instrumented one. This role initially reports to the General Counsel. What you'll do. - Evaluate and manage legal tech vendors and service providers. - Lead implementation and administration of our contract lifecycle management system. - Partner with sales, finance, revenue operations, and other stakeholders to ensure our systems deliver the reporting, visibility, and deal insight they need. - Build and own renewal and contract obligation tracking and related workflows. - Develop the processes, metrics, and infrastructure a scaling legal function depends on. What we're looking for. - 10+ years of relevant legal operations experience. - Hands-on experience implementing or administering contract lifecycle management, discovery management, legal billing, and other systems necessary to enable a fast moving legal function. - Familiarity integrating legal systems with Salesforce. - Strong cross-functional collaboration skills, particularly with finance and revenue operations. - A systems thinker with a bias to action, comfortable building infrastructure from scratch. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of Procurement
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. Role Overview We are seeking an experienced and commercially minded Head of Procurement to lead our procurement function and shape the company’s sourcing, supplier management, and purchasing strategy. This role will be responsible for building a high-performing procurement organization that delivers measurable cost efficiencies, improves supplier performance, strengthens commercial discipline, and reduces supply and operational risk. The Head of Procurement will partner closely with business leaders across Finance, Operations, Legal, Technology, and other functions to ensure procurement supports both near-term business needs and long-term company objectives. The ideal candidate combines strategic thinking with strong execution, commercial negotiation expertise, stakeholder management skills, and the ability to build scalable procurement processes in a growing organization. Key Responsibilities Procurement Strategy & Leadership - Develop and execute the company-wide procurement strategy aligned with business and financial objectives. - Establish procurement policies, operating models, governance, and approval frameworks. - Build procurement into a strategic business partner rather than a transactional purchasing function. - Identify and prioritize opportunities for cost optimization, supplier consolidation, process improvement, and risk reduction. - Provide leadership and coaching to the procurement team and build organizational capability as the function grows. Strategic Sourcing & Commercial Management - Lead strategic sourcing initiatives across key spend categories. - Develop category strategies based on spend analysis, market intelligence, supplier capabilities, and business requirements. - Lead or support high-value and complex commercial negotiations. - Drive competitive sourcing processes including RFPs, RFQs, supplier evaluations, and contract negotiations. - Establish commercial benchmarks and ensure the organization receives competitive pricing, terms, and service levels. - Partner with Legal and Finance to improve contract structures, payment terms, renewal management, and commercial protections. Supplier Management - Develop a structured supplier relationship management program for strategic and critical suppliers. - Establish supplier performance metrics, scorecards, business reviews, and improvement plans. - Identify supplier concentration, continuity, compliance, financial, geopolitical, and operational risks. - Develop mitigation strategies and alternative sourcing options for critical suppliers. - Build strategic relationships with key suppliers to support innovation, service improvement, and long-term value creation. Spend Management & Value Creation - Create visibility into company-wide third-party spend and identify opportunities to improve purchasing effectiveness. - Establish savings methodologies and reporting in partnership with Finance. - Deliver measurable cost savings, cost avoidance, working capital improvements, and total cost-of-ownership benefits. - Improve demand management and challenge unnecessary or inefficient expenditure where appropriate. - Track procurement performance against agreed KPIs and communicate results to senior leadership. Procurement Operations & Process - Design scalable procure-to-pay and source-to-contract processes. - Improve requisition, approval, purchase order, contracting, supplier onboarding, and invoice workflows. - Increase procurement adoption while creating an efficient experience for internal stakeholders. - Evaluate and implement procurement technologies, sourcing platforms, contract management systems, and analytics tools where appropriate. - Ensure procurement processes support appropriate financial controls, audit requirements, and regulatory obligations. Stakeholder Partnership - Partner with senior executives and functional leaders to understand business priorities and upcoming purchasing requirements. - Advise stakeholders on sourcing strategies, supplier selection, commercial structures, and negotiation approaches. - Balance cost, speed, quality, innovation, service, and risk when making procurement recommendations. - Build strong relationships across the organization and influence decisions without creating unnecessary bureaucracy. Qualifications - Significant experience in procurement, strategic sourcing, category management, supply chain, or related commercial roles. - Demonstrated experience leading a procurement function or major procurement programs. - Strong record of delivering measurable commercial value through sourcing, negotiation, supplier management, and process improvement. - Experience negotiating complex, high-value supplier agreements. - Strong understanding of procurement governance, contracting, supplier risk, and spend management. - Experience managing and developing teams. - Strong financial and analytical capabilities, including the ability to evaluate business cases, pricing models, and total cost of ownership. - Excellent stakeholder management, influencing, communication, and negotiation skills. - Ability to operate effectively in a fast-paced environment with competing priorities and incomplete information. - Bachelor’s degree or equivalent professional experience. Preferred Qualifications - Experience building or transforming a procurement function. - Experience operating in a high-growth or rapidly changing organization. - Familiarity with procurement technology, spend analytics, contract lifecycle management, and procure-to-pay platforms. - Experience managing both direct and indirect spend categories. - Professional procurement qualification such as CIPS, CPSM, or equivalent is advantageous. Success Measures Success in this role will be measured through outcomes such as: - Procurement savings and cost avoidance. - Percentage of addressable spend managed through procurement. - Supplier performance and risk reduction. - Improved commercial and contractual terms. - Procurement cycle times and stakeholder satisfaction. - Compliance with procurement policies and processes. - Increased spend visibility and forecasting accuracy. - Development of a strong, scalable procurement organization. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Product Counsel
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Product Counsel, you'll be an early, versatile member of our founding legal team, counseling across a broad range of functions as the business grows. This is a generalist role with real breadth. You'll support security, compliance, and go-to-market needs, handle customer-facing legal matters, and help lay the foundation for a larger counseling team over time. It's a role for someone who's energized by range, comfortable with ambiguity, and excited to build durable infrastructure rather than inherit it. This role initially reports to the General Counsel. What you'll do. - Advise and support our security team on legal matters. - Handle customer notifications and related customer-facing legal communications. - Support compliance efforts across the organization. - Provide generalist counseling across functions as needs arise, including support for Product, Security, Privacy, and other teams. - Help build the foundational processes, templates, and infrastructure for a scaling product counseling function. What we're looking for. - 9+ years of relevant in-house or law firm experience. - A JD and membership in at least one US state bar. - Breadth across privacy, security, compliance, and product counseling. - Comfort operating as a generalist and flexing across whatever lands on legal's desk. - Prior experience working in a hyperscaling, fast moving environment. - A builder's mindset suited to an early-stage, foundational role. - Strong judgment and the ability to work independently in ambiguity. - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, market data, and work location. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of Equity Administration
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role We are seeking a highly experienced Head of Equity Administration to own and scale our global equity administration function as we prepare for the next stage of growth and potential public-company readiness. This leader will be responsible for the end-to-end administration, governance, controls, reporting, and employee experience associated with our equity programs. The role will partner closely with Legal, Finance, Accounting, Tax, People, Payroll, Compensation, and senior leadership, and will play a critical role in building the infrastructure, processes, and controls required for a complex late-stage private company and future public company. The ideal candidate combines deep technical expertise in equity compensation with strong operational judgment, systems experience, attention to detail, and the ability to lead through significant organizational change. Key Responsibilities Equity Plan Administration - Own the day-to-day and strategic administration of the company’s equity compensation programs, including stock options, RSUs, restricted stock, and other equity-based awards. - Manage the complete equity lifecycle, including grants, vesting, exercises, releases, cancellations, terminations, repurchases, transfers, and settlement. - Maintain accurate equity records, capitalization data, participant information, and supporting documentation. - Oversee equity administration platforms, workflows, integrations, and vendor relationships. - Establish scalable policies, procedures, controls, and service-level standards for equity administration. IPO and Public Company Readiness - Serve as a key functional leader in IPO-readiness efforts related to equity compensation and capitalization. - Assess current processes and implement the systems, controls, governance, and documentation required to operate effectively as a public company. - Partner with Legal, Finance, Accounting, Payroll, Tax, Compensation, Internal Audit, external counsel, auditors, and other advisors on IPO preparation and ongoing compliance. - Support preparation for public-company equity administration requirements, including Section 16 processes, insider-related workflows, trading-window administration, Rule 10b5-1 plans, and related controls, as applicable. - Develop processes to support future employee stock purchase plans and other public-company equity programs, where relevant. Compliance, Accounting, Tax, and Controls - Ensure equity administration processes comply with applicable securities, tax, accounting, and corporate governance requirements. - Partner with Accounting on stock-based compensation reporting, reconciliations, audit support, and financial close processes. - Partner with Tax and Payroll on equity-related tax withholding, reporting, settlement, mobility, and international compliance. - Support compliance with applicable requirements including ASC 718, Section 409A, securities regulations, and relevant international equity rules. - Design and maintain strong internal controls, including controls supporting future SOX compliance. - Lead regular reconciliations among the equity administration platform, general ledger, payroll systems, HR systems, and capitalization records. Global Equity Operations - Oversee equity administration across multiple jurisdictions and ensure local operational requirements are appropriately supported. - Partner with Legal, Tax, and external advisors to address country-specific securities, tax, payroll, exchange-control, and reporting obligations. - Establish scalable processes for internationally mobile employees and cross-border equity issues. - Maintain global equity compliance calendars and operational documentation. Governance and Board Support - Partner with Legal and executive leadership on equity governance, board and compensation committee approvals, grant processes, and plan administration. - Maintain accurate records of board-approved equity activity and ensure timely execution of approved grants. - Support preparation of equity-related materials for the Board and Compensation Committee. - Monitor share utilization, equity plan reserves, dilution, burn rate, and other relevant equity metrics in partnership with Finance and Compensation. Employee Experience - Serve as a trusted resource for employees and executives regarding equity compensation. - Develop clear, scalable communications and educational materials to help employees understand their equity. - Establish efficient processes for employee inquiries, transactions, and issue resolution. - Partner with People and Compensation teams on equity communications associated with hiring, promotions, refresh grants, liquidity events, and other programs. Team and Function Leadership - Build and lead a high-performing equity administration function capable of supporting the company through IPO and beyond. - Develop operating metrics, service standards, control frameworks, and reporting for the function. - Evaluate team structure, technology, vendor relationships, and outsourcing opportunities as the company scales. - Act as the company’s subject-matter expert on equity administration and contribute to broader compensation and corporate-governance initiatives. Qualifications - 10+ years of progressive experience in stock administration, equity compensation, legal operations, compensation, finance, or a related field, with substantial direct ownership of equity administration. - Significant experience supporting a late-stage private company, public company, IPO process, or major capital-markets transaction. - Deep knowledge of equity compensation vehicles and administration, including stock options and RSUs. - Strong understanding of equity-related securities, tax, payroll, accounting, and governance considerations. - Experience with ASC 718 and equity-related financial reporting and controls. - Familiarity with public-company requirements such as Section 16, Rule 10b5-1 plans, insider trading controls, and SOX environments. - Experience administering equity programs for a global employee population strongly preferred. - Demonstrated experience with equity administration platforms such as Morgan Stanley at Work/Shareworks or Fidelity, Carta, E*TRADE, Computershare, or similar systems. - Strong analytical skills and ability to manage complex datasets and reconciliations. - Exceptional attention to detail, judgment, organization, and discretion. - Strong executive communication skills and the ability to partner effectively across Legal, Finance, Accounting, Tax, Payroll, HR, and Compensation. - Proven ability to build processes and controls in a rapidly scaling environment. Preferred Qualifications - CEP designation or similar equity compensation credential. - Experience leading equity administration through an IPO. - Experience implementing or migrating equity administration platforms. - Experience establishing SOX-compliant equity processes and controls. - Experience launching an ESPP or other public-company equity programs. - Experience managing equity programs across multiple international jurisdictions. What Success Looks Like In the first 12–18 months, the Head of Equity Administration will have: - Established a highly accurate, scalable, and well-controlled equity administration function. - Built clear ownership, documentation, and operating procedures across the equity lifecycle. - Strengthened reconciliations, controls, audit readiness, and cross-functional governance. - Prepared the equity function for public-company operating requirements. - Improved the employee and executive experience around equity compensation. - Created the organizational, systems, and process foundation required to support the company through IPO and continued growth. Reporting Relationship This role may report to the General Counsel, Head of People, Total Rewards, Head of Finance, or another senior executive , depending on the company’s organizational structure. The Head of Equity Administration will work closely with senior leaders across Legal, Finance, Accounting, Tax, People, Payroll, Compensation, and Investor Relations. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
GTM Strategy Manager
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Reporting to the GTM Planning Lead, the Central Planning Manager is responsible for translating GTM strategy into headcount capacity plans, quotas, and pipeline-generation targets that drive the right outcomes across direct and partner motions. You will be the hands-on owner of the planning models and a trusted partner to GTM and Finance leadership, balancing competitiveness, simplicity, scalability, and financial discipline. You will lead headcount capacity planning and overall target design (booking, consumption, pipegen), and partner with finance, field ops and GTM leadership to align headcount, top level targets and compute supply.Your work will directly influence revenue predictability, seller behavior, retention, and long-term growth. This is not a pure admin seat and not a blank-slate build. You inherit working capacity and target models and extend them as Fireworks scales. Consumption and hybrid commit + usage economics are core to how we sell and how our business grows. The right candidate has intimate knowledge of business models that rely on a usage-based or hybrid commercial model — not only license ARR — and can design capacity plans that meet our strategic objectives. Responsibilities GTM Planning, Capacity & Quotas - Drive the annual Go-To-Market planning process for the COO organization under the GTM Planning Lead. - Owning GTM capacity planning and target-setting, translating growth targets into coverage, headcount, and productivity plans across Sales, Field Engineering and CS. - Applying and refining target-setting methodologies, ensuring targets are grounded in market opportunity, historical performance, and productivity expectations. - Partnering with Finance, Field Ops, and GTM leadership to build and maintain models of capacity needs, ramp assumptions, productivity, and hiring requirements for annual and long-range planning, including scenario models that show the tradeoffs between headcount, pipeline, compute supply, productivity, and revenue before decisions are made, and present scenarios to the GTM Planning Lead. - Maintaining planning frameworks and analytics to monitor capacity, quota attainment, and productivity and inform in-year adjustments. - Own pipeline-generation (pipegen) targets by segment and team, and track pipeline coverage against them. - Partner with the GPU management team so headcount, pipeline, and consumption assumptions feed the GPU demand forecast. Systems, Forecasting & Automation - Build and own a native end-to-end process and tooling for automation of business plan modeling. - Partner with Data Engineering and GTM Engineering on source-of-truth data (CRM, billing/usage, roster/quotas) so calculations are reproducible and auditable. Qualifications - 6+ years in GTM planning, quota setting, and/or productivity-related revenue operations workstreams - Strong understanding of go-to-market design and sales planning, including how capacity, quota, and pipeline targets fit together - Significant experience presenting analysis to senior leaders and closely partnering with leaders at the Director and VP level - Advanced analytical and financial modeling skills with a superb ability to drive high value insights - Hands-on experience building headcount, ramp, and quota capacity models for a consumption-based or hybrid commit-plus-usage business - SQL and BI fluency, and experience with a planning or forecasting platform (for example Anaplan, Clari or Xactly) - BA/BS degree in engineering, accounting, finance, economics or other quantitative fields preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Familiarity with manager overrides, overlay roles (e.g. SAs / field engineers), marketplace/channel nuances, and self-serve → sales-assisted conversions - Experience planning through a period of hypergrowth - Background in investment banking, finance or management consulting Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Software Engineer, RL Data
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Software Engineer, RL Data About the Role The data behind a model shapes it more than almost anything else. On the RL Data team at SpaceXAI, you decide what that data is for our agents: which problems they practice, what world they practice in, and how they're judged. You'll take a weakness, like an agent that gives up on hard bugs or misuses a calendar API, and turn it into training data that fixes it, then show the next model is measurably better. You form hypotheses about why data is helping or misleading the model, build the systems to test them, run ablations, and read the rollouts to find the bug, shortcut or mismatch behind a result. Every flaw you catch, or miss, shows up in what the next Grok models learn. What you’ll work on - Turning a capability gap into thousands of verifiable tasks — for example, planting subtle bugs deep in a real project's dependencies for the agent to root-cause. - Building environments that behave like production: real codebases with their real dependencies, and simulations of apps like email, calendar, and docs that match the real ones down to search, errors, and pagination. - Designing graders for open-ended work that separate good solutions from bad without penalizing valid alternatives or rewarding shortcuts. - Building automated checks that catch reward hacking, leaked answers, broken environments, and paths the real product wouldn't allow, before data reaches training. - Scaling from a thousand hand-checked tasks to millions, with filters and judges you can trust in place of a person reading each one You may be a fit if - You have strong software engineering fundamentals, and you've built non-trivial systems in Python: data pipelines, test or eval infrastructure, sandboxes, or backend services. - You have taste for what makes an environment trustworthy: faithful enough that skills transfer, strict enough that shortcuts fail, and simple enough to debug when a result looks wrong. - You are careful and systematic — understanding both aggregate metrics and close reading of raw outputs. - You enjoy turning messy, open-ended problems into repeatable, high-quality data production systems. - RL or ML experience is a plus but not required. We welcome strong engineers who want to do research on what makes models better. Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Full-Stack Software Engineer, Child Safety Tools &...
About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: - 7+ years of experience as a software engineer - Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm - Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. - Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. - Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research - Contribute to the team’s technical strategy, especially for child safety related tools and systems - Report on impact in a data-driven fashion You might thrive in this role if you: - Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling - Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems - Have experience building and operating large-scale data pipelines or search/retrieval systems - Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL - Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback - Favor pragmatic solutions and can ship in hacky, low-support environments when needed - Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals - Have prior experience working on engineering for high-severity harms - Bring intuition for the pain points and workflows of operations and investigative teams, and curiosity about solving complex investigations - Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Account Executive, Energy & Utilities
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Energy & Utilities - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive, Industrial
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to industrial organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturers, engineering groups, energy and utilities providers, and logistics and supply chain businesses. You'll leverage your consultative sales expertise in the industrial sector to propel revenue growth while becoming a trusted partner to industrial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across engineering, operations, supply chain, maintenance and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with industrial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the industrial sector. Navigate complex, often global, industrial organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to industrial procurement cycles, capex and opex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse industrial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within engineering and R&D, plant operations, supply chain and procurement, quality, maintenance, and field service. Collaborate cross-functionally to differentiate our offerings for industrial applications - Navigate complex industrial stakeholder ecosystems including executives, operations and engineering leadership, IT and OT teams, digital transformation functions, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying industrial market needs. Provide insights that strengthen our value proposition for industrial clients - Continuously refine the industrial sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within industrial organisations and securing strategic deals by understanding both technical requirements and industrial use cases - Demonstrated ability to navigate large, multi-site industrial organisations and procurement processes, building consensus among diverse stakeholders including executives, operations and engineering leadership, and IT departments - Extensive experience negotiating complex agreements within industrial procurement frameworks, including supplier onboarding, security and data governance reviews - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various industrial audiences, from plant and engineering managers to senior executives - Deep understanding of industrial buying cycles, decision-making processes, and key pain points, including the regulatory, safety and sustainability pressures industrial businesses operate within - A strategic, analytical approach to assessing the industrial market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for industrial use 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: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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