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Director, Clinical Science
Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery by integrating automated cell biology, high-dimensional and diverse datasets, and sophisticated analytics. We are seeking a Director-level Clinical Scientist who can oversee all clinical aspects of a clinical trial(s). This would include: planning and authoring clinical deliverables (protocols, amendments, medical monitoring plans, annual reports, study-specific updates, CSRs); routine medical monitoring; site interactions/correspondence re: patient eligibility and treatment inquiries; and presentations, both internal and external. As an Associate Director within Clinical Science, you’ll play a critical role in ensuring study protocols are executed appropriately and that the study data is both appropriate and pristine. On a daily basis, you will interact cross-functionally with multiple disciplines supporting the Study Team (Clinical Operations, Medical Director, CMC, Data Management, CROs, CRAs, Investigative Sites, etc). You’ll be responsible for reviewing and cleaning/querying pertinent data points, identifying trends or inconsistencies with the data, and serving as the face of the study to Investigative Sites. You can expect to work on multiple early-phase projects at the same time in a fast-paced and exciting environment where the ability to multi-task and rapidly re-organize thoughts and priorities will be essential. In this role, you will: - Create – Serve as the authoring lead on multiple clinical documents. Recursion is moving away from the use of Medical Writers and relying more heavily on the Clinical Scientist and Medical Director to author IND and study-specific documents. While this will not refer to manuals, it does encompass Clinical documents and site/agency interactions. - Collaborate - Work with highly dynamic teams where your role will range from leading and owning decisions or timelines to being a key contributor whose experience and insight are relied upon to advance the task at hand. - Drive & Deliver – You will be primarily responsible for the quality of your study data. This will include reviewing (Medical Monitoring); issuing, reviewing, and closing queries; reviewing TLFs, summarizing data throughout the trial, and presenting the data to management when requested. You will also be required to present the protocol procedures and Site Initiation Visits both in-person and virtually. - Prioritize – Given the nature of Recursion, you will be required to support multiple early-phase (1-2) studies simultaneously. This will require time management and organizational skills. The Team You’ll Join Reporting to the Vice President, Clinical Science, you’ll be joining the Clinical Science Team within Clinical Development. This group is ultimately responsible for shepherding an experimental drug from IND through Dose Finding, Proof of Concept, and possibly Registration studies. Clinical Science consists of a high-performing team of extremely motivated individuals who work independently, interact cross-functionally with many contributing departments, and are capable of multitasking to expeditiously execute cutting-edge clinical trials. The Experience You’ll Need - 5-7+ y
Enterprise Account Executive, Telecommunications
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, Telecommunications based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's government and Telecommunications organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize the Telecommunications industry and operations with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major Telecommunications accounts and expanding existing relationships across Japan's government entities and Telecommunications - Build and execute territory plans, identifying high-value opportunities across national government ministries, prefectural and municipal governments, and quasi-governmental organizations - Lead consultative sales processes with senior government officials, procurement leaders, and technical stakeholders, positioning AI as a driver for digital government transformation and improved citizen services - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet stringent security, compliance, and procurement requirements You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to Telecommunications sector accounts, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with government entities by understanding Telecommunications sector procurement requirements and crafting compliant solutions - Demonstrated ability to navigate Telecommunications stakeholder ecosystems, building consensus across multiple departments, budget authorities, and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across different government fiscal timelines - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's Telecommunications sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for public benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree
Member of Technical Staff (Software Engineer, Inte...
Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different - Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.
Director, Compute Platforms & AI
PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: We are seeking an experienced and hands-on Director to lead the strategy, architecture, and operational excellence of compute platforms across cloud, on-premises, and high-performance computing (HPC) environments. This role owns the direction and evolution of infrastructure supporting modern workloads, including distributed systems, development infrastructure, observability, and the practical adoption of generative AI capabilities across the organization. Reporting to the Chief Information & Security Officer, this individual will serve as the senior technical leader for compute and AI within IT. The ideal candidate brings deep cross-domain expertise, strong operational judgment, and a track record of building, scaling, and stabilizing complex systems. This role combines strategic leadership with hands-on technical engagement and cross-functional influence, enabling both current operations and future capabilities. <strong
Junior Campaign Manager
The role of an Junior Campaign Manager at Canonical Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We’re on the look out for a performance marketing manager to join our team and own our paid strategy. The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. This role sits in the Marketing team reporting to the Growth Engineering Manager. Location: This role will be based remotely in the EMEA region. What your day will look like - Support marketing team members with setting up and monitoring paid campaigns - Monitor paid ads performance and budgets across the Marketing team - Build on automation and AI to improve paid ads performance - Develop Canonical's adtech stack to industry leading standard What we are looking for in you - Familiarity with ad platforms (Google, LinkedIn, Meta...) - Familiarity with campaign tracking and analytics tools - Experience driving successful lead generation campaigns. - Experience with A/B testing and data-driven decision making. - Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams - Proven ability to prioritise and differentiate what matters from the noise, meeting deadlines without sacrificing quality - A growth mindset - someone who is not afraid to think big and take on risks - Engagement with the latest trends in marketing technology - Willingness to travel up to 4 times a year for internal events Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑💼Employee Assistance Program
Member of Technical Staff (Product Data Scientist,...
Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems
Staff+ Application Security Engineer - M&A
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities - Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning - Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems - Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration - Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them - Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process - Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work - Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications - H
Applied AI Engineer, Global Public Sector
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: - Partner with public sector clients to deeply understand their challenges and define AI-driven solutions - Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models - Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets - Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models - Participate in customer engagements, including occasional travel (approximately two weeks per quarter) - Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: - A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) - 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++. - 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines - Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure) - Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets - Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment Nice to haves: - Experience working at a startup, particularly as founding engineer - Experience building and deploying large-scale AI solutions - Strong written and verbal communication skills to operate in a cross-functional team environment - Proficiency in Arabic (if focused on language models) For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purpo
Lead Data Scientist, Platform 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. About the role As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment. Key responsibilities - Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success - Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams - Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations - Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions - Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes - Present complex analyses and recommendations clearly to both technical and non-technical stakeholders - Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows Minimum qualifications - Proficiency in Python, SQL, and data visualization tools <li class=
Account Director, Healthcare
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Healthcare, you will own executive-level relationships with leading healthcare organizations, including integrated delivery networks (IDNs), health systems, academic medical centers, health insurers, digital health companies, and healthcare technology providers. You’ll help these organizations safely and effectively deploy OpenAI’s technology to improve clinical and administrative workflows, enhance patient and provider experiences, automate operational processes, and accelerate enterprise-wide AI adoption. This role blends enterprise sales expertise, technical depth, business acumen, and relationship-driven selling. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in San Francisco. 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’ll: - Manage a focused portfolio of large healthcare provider, payer, and healthcare technology accounts, developing long-term strategic account plans. - Lead complex, multi-stakeholder sales cycles spanning clinical, operational, IT, digital transformation, and executive leadership teams. - Partner with Solutions and Research Engineering to design pilots that demonstrate measurable business impact and accelerate AI adoption. - Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated healthcare environments. - Own a revenue and consumption target; manage forecasts and pipeline reporting. - Monitor healthcare industry trends, AI regulation, interoperability standards, and policy changes to guide customer and product strategy. - Represent OpenAI at industry conferences and thought leadership events (e.g., HIMSS, ViVE, HLTH, Becker’s Healthcare). - Partner cross-functionally with Marketing, Partnerships, and Communications to build OpenAI’s Healthcare go-to-market motion. We’re seeking someone with experience including: - 14+ years selling complex enterprise software, cloud, AI, or platform solutions to healthcare organizations. - Proven success achieving annual revenue targets >$2M+ in complex enterprise environments. - Experience managing C-suite relationships across healthcare organizations, including CIOs, Chief Digital Officers, Chief Medical Information Officers (CMIOs), Chief Information Security Officers (CISOs), and operational leaders. - Strong understanding of healthcare provider and payer organizations, including clinical operations, administrative workflows, digital transformation, patient engagement, or healthcare IT. - Familiarity with healthcare privacy, compliance, security, and regulatory considerations, including HIPAA. - Demonstrated ability to design and execute complex enterprise account and partnership strategies. You might thrive in this role if you: - Are customer-centric and can translate complex healthcare and business challenges into transformative AI solutions. - Are passionate about improving healthcare through the safe, responsible, and ethical use of AI. - Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up. - Are a strategist who anticipates industry shifts and guides enterprise customers through them. - Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements. 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.
Tech Lead Manager- MLRE, ML Systems
Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. - Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: - Passionate about system optimization - Experience with multi-node LLM training and inference - Experience with developing large-scale distributed ML systems - Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. - Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. - Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: - Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $290,400 - $363,000 USD &
Senior Product Manager - Database AI Optimization
Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. - Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc - Define, build and launch the next generation of database monitoring and optimization capabilities for our customers - Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. - Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across them, and help customers identify incidents root cause and navigate through telemetry faster - Partner with marketing and cross functional teams including sales, customer success and support teams, to define Go-To-Market plans and strategy for database monitoring, data observability and APM features - Continuously evolve the product practice and the product itself with the latest technologies, including AI tools and agents Who You Are: - You’re comfortable using AI tools for research and building - You have experience building AI products and evals including manual evaluations, golden data sets, LLM as judge, to measure and improve AI product quality - You have 5+ years of experience as a Product Manager in cloud or developer tools, ideally including intimate experience with databases - You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike - You are customer focused with high quality standards for your products - You are passionate to work in a high growth and impact environment to build new products and scaling existing ones Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: <li&g
Signal Integrity Engineer
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead system signal integrity (SI) design for AI supercomputer product in the data center application. - Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies - Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity - Perform simulation and modeling to identify and troubleshoot signal integrity issues - Lead system interconnect design, bring up and qualification - As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. You might thrive in this role if you: - Have at least 10 years of industry experience, including experience design hardware system and SerDes testing for data center applications - Have a strong bias toward action, and won’t take no for an answer. - Have experience and good knowledge of system design experience in the SI areas, from chip, SerDes, board, rack level - Have experience with PCB, connector and cable design - Have a strong intrinsic desire to learn and fill in missing skills; and an equally strong talent for sharing that information clearly and concisely with others. - Are comfortable with ambiguity and rapidly changing conditions. 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.
Senior Counsel, Corporate (M&A)
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI and supporting OpenAI’s growth. If you're passionate about doing significant and unique work, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a Senior Corporate Counsel, M&A, you will support and lead mergers, acquisitions, joint ventures, investments, warrants, infrastructure financings and other corporate transactions through the full lifecycle and provide strategic advice to the business on a broad range of transactional matters. This is a unique opportunity to be directly involved in the forefront of the legal and technology field. This role will work closely with our Corporate Development, Finance, Product & Research, People, and other teams and report to our Deputy General Counsel, M&A, Investments and Strategic Transactions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead and support mergers, acquisitions, joint ventures, investments, partnerships and other strategic transactions through the full lifecycle, including opportunity assessment, deal structuring, negotiation, due diligence, and execution - Draft, review, and negotiate transaction documents, including definitive agreements, letters of intent, and ancillary documents. - Provide strategic advice to the corporate development team, senior management and other internal stakeholders regarding transactions and M&A strategy and deal execution. - Work collaboratively with multiple cross-functional teams across the company, including on post-transaction and integration matters. - Support the corporate legal team on a broad range of corporate matters, including financings, liquidity events, corporate governance and international expansion. You might thrive in this role if you: - Have 8+ years of combined, transactional-focused legal experience with fast-paced technology companies and law firms - Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations. - Have a JD and license or qualification to practice in CA 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.
AI Inference Internship
Perplexity is excited to announce the Internship Program for exceptional Master’s or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program. Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. Responsibilities - Work with the inference team to improve serving latency and throughput - Bring up support for new models and state-of-the art inference optimizations or quantization schemes - Optimize inference across the entire stack, from GPU kernels to serving endpoints Qualifications - Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc) - Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems) - Experience with ML frameworks (Torch, JAX) - Experience with GPU programming (CUDA, Triton) - Experience with High-Performance Computing (OpenMPI) Schedule - Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH) Interview Process - Fill out the application on Perplexity website - If selected, People Ops and technical interviews will be involved. - Offer. We’re impressed! We’d love to welcome you to our Internship program! - Start. We have a desk waiting for you in our London office! FAQ Do you sponsor visas? Can I apply if I need a visa to work in the UK? → Unfortunately we are unable to sponsor visas What if I’m on a student visa? → You need to seek approval from your University (to determine if you are eligible to work full time or part time only) How many internship spots are there? - We have spots for 2-3 interns in our 2026 class. Is housing provided? - Unfortunately we cannot provide housing. Is health insurance provided? - Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits. How many full time offers are available at the end of the residency? - There is no limit. All outstanding performers will be given a full time offer! At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Head of Content & Curriculum, Education
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 AI capabilities are advancing faster than most people can adapt. The gap between what Claude can do and what people know how to do with it widens with every model release. Closing this gap before the window for thoughtful adoption narrows is core to our mission. The content & curriculum team sits at the heart of that mission. This isn’t docs, and it isn’t traditional courseware either. We’re building a library of educational content and experiences that can be delivered to each learner at the precise moment they need it, teach them effectively, and keep learning engaging. And we want to scale it with Claude (and, hopefully, you!) You'll own the education team’s content end to end—every audience (developers, consumers, enterprise admins, the general public) and every format (courses, tutorials, video, interactive experiences). Your obsession is the learner: does this actually empower people to use AI intentionally, is it the clearest version of itself, and are we proud of it? You'll manage a team of content strategists, plus the media designers, agencies, and agents who support them. Working hands-on with Claude is part of how content gets made here: you and your team will design the workflows and standards that determine where and how AI can accelerate drafting, review, and maintenance, and determine where human craft is non-negotiable os that the team so that the team can move faster without lowering the bar. Where that line sits, and how it moves as models improve, is yours to figure out. This isn't a traditional catalog you maintain. Models improve, audiences grow, and the best version of what you ship today won't be the best version six months from now. You’re building a content library that evolves in real time with Claude. Your goal is learning that adapts to each person and scales far past what any team could produce by hand, without ever giving up the quality bar that makes it worth learning from. The most exciting version of this role encodes its own craft into AI-powered systems rather than guarding it. Key responsibilities - Own the content and how well it teaches across every audience and format - Set and defend the quality bar for scaled education. Define what "great" means precisely enough that the team can hit it without you in the room - Push the medium forward: design learning that's beautiful, distinctive, interactive, and increasingly personalized, not templated courseware - Design and run the content production system (intake, prioritization, drafting, review, launch) at the cadence of model and product launches - Shape how Claude is used in production —the frameworks and standards that let AI accelerate output while keeping it excellent - Manage and develop the audience leads and media designers; play a key role in the education team’s growth and org design </p
Member of Technical Staff (Software Engineer, Data...
ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Distinguished Architect, AI
Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. - Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. - Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. - GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. - Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. - Hiring : Assist leadership in recruiting and hiring of top talent for the Product Solutions Architecture and Field CTO teams. Who You Are: - Industry Experience: 10+ years of experience with at-scale distributed systems architecture, high-performance computing, or large-scale infrastructure. Deep familiarity with the AI/LLM ecosystem, accelerator hardware (GPUs/TPUs), and modern orchestration frameworks. - Strategic Thinker : Able to think long term and creatively about a wide variety of technical and business challenges - Stakeholder Management : Proven experience interacting with and influencing elite individual contributors, research scientists, and technical founders in flat, rapid-growth environments. - Technologist : A true close-to-the-metal technologist who maintains deep hands-on credibility and can white-board architectural solutions seamlessly with senior engineers. Strong understanding of best practices and real world challenges AI/LLM Ops and LLM Observability (LLMO). - Presenter : Excellent customer-facing presentation skills for large audiences, comfortable discussing complex technical details as well as with briefing executives or non-technical personas. - Communicator : Excellent verbal and written commun
Staff Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU’LL DO: - Be the DS tech lead across multiple product and business teams : setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. - Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know. - Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. - Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders. - Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING: - 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. - Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels. - Proven experience designing reusable analytics and measurement frameworks that scale across products. - Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-
Senior Tools Programmer, UI & AI Workflows
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other engineers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental
Research Lead, Training Insights
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 Research Lead on the Training Insights team, you'll develop the strategy for, and lead execution on, how we measure and characterize model capabilities across training and deployment. This is a hands-on leadership role: you'll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same. Your work will span the full lifecycle of model development. You'll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop — both during production RL training and after. You'll also take a cross-organizational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage. This role carries significant visibility and impact. You'll help shape the evaluation narrative for model releases, contributing directly to how Anthropic communicates about its models to both internal and external audiences. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission. Responsibilities: - Build new novel and long-horizon evaluations - Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training - Lead strategic evaluation coverage across the company - Shape the evaluation narrative for model releases - Lead and mentor a small team of researchers and research engineers, setting research direction and fostering a culture of rigorous, creative research - Design evaluation frameworks that balance scientific rigor with the practical demands of production training schedules - Build and maintain relationships across Anthropic's research organization to ensure evaluation insights inform training and deployment decisions - Contribute to the broader research community through publications, open-source contributions, or external engagement on evaluation best practices You may be a good fit if you: - Have significant experience designing and running evaluations for large language models or similar complex ML systems - Have led technical projects or teams, either formally or through sustained ownership of critical research directions - Are equally comfortable designing experiments and writing code—you can move between research and implementation fluidly - Think strategically about what to measure and why, not just how to measure it - Can synthesize information across multiple teams and workstreams to form a coherent picture of model capabilities - Communicate complex technical findings clearly to both technical and non-technical audiences - Are results-oriented and thrive in fast-paced environments where priorities shift based on research findings <l
Deployment Strategist
Scale is building AI for the world’s most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. As a Defense Deployment Strategist, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI — autonomous, reasoning systems — into the heart of defense workflows, ensuring that our nation's most complex decisions are supported by the world’s best technology. Deployment Strategist We are looking for a powerhouse executive account leader who understands that winning in the DoW isn't about a successful 6-month pilot; it’s about Program of Record integration. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition. - Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting. - Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales. - Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard. - Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against. - SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements. Requirements: - Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC. - Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget. - Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems. - The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major PEO. - Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT, as well as a Rolo
Sr Staff ML Forward Deployed Engineer, Enterprise...
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency prov
Brand Marketing
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Brand awareness and affinity are the force multipliers behind every GTM motion. As we scale ElevenLabs across products and use cases, we need a Brand Marketer who can take our brand narrative and amplify it through high-impact partnerships and activations. You'll own the execution and orchestration of our brand partnerships and activations, running campaigns that elevate ElevenLabs' presence across all audiences. Think: Sports partnerships, popup shops, unique OOH, creator partnerships, online interactive experiences, and more. This is hands-on, execution-focused work. You'll develop partnership strategies and creative campaigns, build the assets field teams need to activate partnerships, manage multi-million dollar partnership budgets and timelines, and measure the impact. You'll partner closely with product marketing, comms, and design - orchestrating across teams to ensure activations hit hard and stay on-brand. REQUIREMENTS - 5+ years in brand partnerships, activation marketing, or sponsorships at high-growth technology or SaaS companies (agency or in-house). - Strong project management skills. You're comfortable managing complex initiatives with multiple dependencies across contracts, budgets, timelines, creative refinement, vendor management, live execution. - Excellent copy writing skills. You can write a compelling and memorable tagline f
Data Scientist, Business
About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. - Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. - Proactively surface insights and opportunities to drive engagement and growth. - Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. - Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. - Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization You might thrive in this role if you have: - At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations. - Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. - Proficiency in quantitative programming languages, such as Python and R. - Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. - Experience using business intelligence tools, such as Mode, Tableau, and Looker. - Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. - Ability to build relationships with diverse stakeholders and cultivate strong partnerships. - Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. - Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. - Best-in-class attention to detail and unwavering commitment to accuracy. - Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas. 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.
Manager, Machine Learning Engineering (Fraud)
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Machine Learning team builds models that power critical decisions during the loan application process, protecting Affirm and its customers from fraud while maintaining a seamless user experience. As a manager, you will lead a team of ML engineers developing and improving models that detect and prevent abuse in a rapidly evolving, adversarial environment. In this role, you will define the technical and modeling strategy for fraud detection, guiding the team across the full machine learning lifecycle from feature development and experimentation to production deployment and monitoring. You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high-quality models are effectively integrated into decisioning systems. You will also help drive the evolution of modeling approaches at Affirm, including the adoption of representation learning and transformer-based techniques to better capture complex behavioral patterns. What you’ll do - Set the technical and modeling strategy for fraud detection, aligning team efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience - Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models across the full ML lifecycle, from experimentation to production - Drive the evolution of modeling approaches, including the adoption of representation learning, transformer-based methods, and other advanced techniques for modeling complex behavioral data - Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions, evaluate trade-offs, and ensure models are effectively integrated into decisioning systems - Develop talent by coaching engineers, providing feedback, and fostering a high-performing team culture grounded in technical excellence and ownership What we look for - Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees - Proven ability to lead teams delivering end-to-end ML solutions in production environments, including experimentation, evaluation, and model iteration in production - Strong engineering fundamentals and experience working with scalable systems and data pipelines - Track record of effective cross-functional collaboration with product, analytics, and engineering partners - Ability to operate in ambiguous, fast-evolving environments and drive clarity, prioritization, and execution - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. <
Customer Success Lead - APAC
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As the Customer Success Lead you’ll lead a team of experienced Customer Success team members across APAC ( Japan, Korea, South + North Asia). You’ll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing CS team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning customer success initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Enterprise, Commercial and Scale pla
Staff + Senior Software Engineer, Inference Deploy...
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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different enviro
Strategic Projects Lead, Red Team
Scale's Red Team and Safety function stress-tests the most capable AI models in the world, and shapes how labs, governments, and enterprises deploy them. We are hiring a Strategic Partnerships Lead to own day-to-day partnerships with frontier model developers. This is a hands-on role for someone who is technically curious, comfortable with researchers, and operationally rigorous. You will partner closely with research, operations, and go-to-market. The team Red Team and Safety is a nimble function that stress-tests frontier AI. We partner with major model developers to generate adversarial data, run evaluations, and publish benchmarks across jailbreaks, prompt injection, agentic misuse, LLM-based cyber security, CBRN, political bias, and self-harm. Our work shapes how leading labs train their models and how governments and enterprises deploy them. You will: - Own a portfolio of frontier-lab partnerships day-to-day. Run customer conversations, scope new engagements, and grow accounts from one-off projects into ongoing scope. - Act as a credible subject-matter expert in customer conversations; explain adversarial methodology, vulnerability taxonomies, benchmark findings, and what they imply commercially, in language that lands with technical buyers. - Partner with Enterprise and Public Sector account teams to qualify and close opportunities where safety, red teaming, or LLM-based cyber security are part of the deal. - Coordinate delivery with research and operations leads. Make sure scope, capacity, and timelines line up before we commit, and unblock the team as engagements run. - Contribute to public benchmark launches. Help shape the framing, the rollout, and the narrative we take to customers and the field. - Feed signal back into the roadmap. Surface what customers are asking for, what is breaking, and what we should build next. Ideally, you would have: - Working fluency in model behavior, adversarial ML, and AI safety, enough to hold a substantive conversation with researchers and ML engineers. - Experience managing technical accounts or partnerships, ideally with frontier AI labs, large enterprises, or federal agencies. - Genuine interest in AI safety, evidenced in prior work, writing, or research. - Strong written and verbal communication and the ability to translate between research and commercial audiences. - Operational rigor; you scope carefully, track commitments, and keep complex engagements moving. - Comfort with ambiguity and a bias toward action. Nice to haves: - 2+ years of relevant experience. - Hands-on red teaming, penetration testing, or adversarial ML experience. - Background at a frontier AI lab, AI policy organization, or national security agency. - Experience contributing to public benchmarks, evaluations, or research publications. - Advanced degree in a relevant technical field. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du
Talent Operations Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is growing fast — and as head of Talent Operations, you'll be the strategic force that makes that growth possible at scale. This isn't a support role. You'll own the infrastructure, tooling, strategy, and team that power how ElevenLabs hires across every function and every market. You'll work directly with the Head of Talent and senior leadership to translate hiring ambitions into operational reality — whether that's standing up a specific hiring programme across new markets, designing the frameworks that make our interviewers more calibrated, or architecting the integration between our HRIS and ATS to eliminate manual work at scale. The problems are large, the autonomy is real, and the impact is immediate. This role requires you to be an IC as well as a lead, driving the team forward whilst having the technical aptitude and attitude to dive into topics and help the team build solutions. Specifically, you will: - Own the end-to-end talent technology stack — leading vendor strategy, managing relationships, making build vs. buy decisions, and ensuring tools are configured, integrated, and used to their full potential. - Identify, design and drive org-wide hiring programmes and frameworks — from interview evaluation systems, to our headcount planning solution and multi-market hiring playbooks. - Lead and develop a team of Talent Operators
Senior Staff Software Engineer, API
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. Responsibilities - Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. - Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. - Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. - Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. - Mentor and develop Staff-level engineers across the org. - Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. You may be a good fit if you: - Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. - Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. - Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. - Have deep expertise in distributed systems and API architecture, and are effective writing design doc
Senior Software Engineer - AI Code Gen - Agent Eng...
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. - Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. - Prototype and see what works well in the real world, iterate closely with our users, and then ship. - Follow the latest research on LLM prompting, agents, and code editing. - Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: - You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. - You are passionate about Generative AI and its ability to help software engineers be more productive. - You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. - You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. - You want to work in a fast, high-growth startup environment that respects its engineers and customers. - You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. - Have a lot of influence on product direction and impact on the business. - Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn. - Competitive global benefits. - Continuous professional development. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensa
Senior Data Scientist - Growth Measurement
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY GROWTH MEASUREMENT? In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team. You Will: - Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies - Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions. - Contribute to the development of a robust data infrastructure to support user growth. - Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights. - Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership. You Have: - A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. - 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation. - Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. - Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. - Experi
Principal/Senior Machine Learning Scientist - Sear...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning researchers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will innovate on LLMs, VLMs, autoregressive models, or other large models for user understanding, content understanding, recommendation, and agentic search. Your work will lay the foundation for personalizing user experiences, enhancing engagement and retention, and driving growth within the creator ecosystem. In search and discovery, you will contribute to the core systems that enable users to discover and interact with experiences across Roblox. These systems drive exploration and engagement across all surfaces, helping users find relevant and exciting content. Looking ahead, our team aims to innovate further by developing auto-generated summaries, images, and videos from experience content to improve discoverability and inspire user exploration. Our mission is to connect a billion users with the best content and connections at the right time, tackling diverse challenges in advertising, search, and discovery at an unprecedented scale. Join us and play a pivotal role in shaping the future of Roblox’s search and discovery. You Will: - Design and implement the machine learning solutions that power agentic search and discovery systems to drive Roblox content distribution. - Design and implement large scale recommendation models. - Design and implement LLMs and VLMs for visual understanding and natural language understanding. - Balance researching new technologies with a practical approach to integrate research efforts into the Roblox products. - Collaborate with other teams within Roblox to make sure we are building products with a community first approach. - Communicate with the industry and communities where applicable and be ambassador for Roblox. You have: - You have 7+ (for principal) or 4+ (for senior) years of experience designing and building scalable machine learning solutions. Experienced with transformer based model training, inference, and product integration. Break down product requirements into iterative deliverable stages. - You have a BS, MS, or PhD in Computer Science or a related discipline or equivalent experience. - You have initiated and facilitated challenging technical decisions across multiple teams and organizations. - While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers.</li&
Director, Infrastructure & Energy Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure & Energy Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases, power purchase agreements, and related structures underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities - Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure and energy arrangements, leading classification, measurement, and subsequent accounting judgments - Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts - Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities - Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives - Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Serve as a key point of contact with external auditors on technical accounting matters within your portfolio - Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work You may be a good fit if you - Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role - Hold a Bachelor's degree in Accounting or Finance; CPA required - Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied
Senior Revenue Accounting Manager
Scale’s mission is to accelerate the development of AI applications by providing the highest quality data. We believe that robust financial infrastructure is the backbone that allows our researchers and engineers to innovate at scale. Our Accounting team doesn't just record transactions; we build the systems that enable the next generation of AI breakthroughs. We are looking for a Senior Manager, Technical Revenue Accounting to join our Accounting Team. In this role, you will be the primary orchestrator for revenue integrity at an innovative AI company. You will serve as a technical subject matter expert, architecting solutions for complex transactions and ensuring our financial systems scale as fast as our technology. If you are looking to make a significant impact at the intersection of frontier AI and financial infrastructure, come join us. You will: - Lead Revenue Accounting Team: Oversee monthly accounting close activities, including the review of complex journal entries and key account reconciliations including the management and development of a small team. - Technical Oversight: Ensure strict compliance with ASC 606 and U.S. GAAP; serve as the final word on revenue recognition for both standard and highly bespoke contracts. - Strategic Collaboration : Partner with Finance and Strategy teams on revenue metrics, flux analysis, and long-range forecasting. - Audit Readiness: Lead the preparation of consolidated financial statements and footnotes; act as a primary point of contact for external auditors for all revenue related contracts and matters including developing footnotes and other financial reported items. Ideally you'd have: - Education: Bachelor’s degree in Accounting; CPA is highly preferred. - Experience: 7+ years of progressive accounting experience, with a mix of Big 4 public accounting and high-growth industry experience (SaaS preferred). - Leadership: 1+ years of experience managing and developing high-performing teams. - Technical Rigor: Deep expertise in ASC 606 and the ability to translate complex technical research into actionable operational policies. - Agility: A proven track record of problem-solving in a fast-moving, "ambiguity-heavy" environment. - Systems Fluency: Experience with enterprise-level ERPs and revenue recognition software. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role
Software Engineer, Backend/Applied ML (Safety & In...
ABOUT THE ROLE We’re looking for a talented and creative Software Engineer to join our Safety Engineering team at Character.AI http://Character.AI! In this role, you will be at the forefront of designing, developing, and scaling robust backend systems and leveraging applied machine learning to tackle critical integrity and safety challenges. You will be architecting and implementing innovative solutions in a key role in addressing the unique safety challenges that come with human-to-AI interaction—bringing your technical expertise to the table as we define industry best practices in this emerging space. This is a high-impact role where you will provide technical leadership, drive innovation, and contribute to the core of our platform's trustworthiness. WHAT YOU'LL DO - Architect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features. - Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks. This includes traditional issues (e.g., content classification, spam, etc.) as well as emerging threats related to Generative AI (e.g., misuse of generative models, generation of harmful or biased content, etc). - Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges. This includes areas like content classification (including AI-generated content), anomaly detection, risk scoring, behavior analysis, and developing safeguards for Generative AI systems (e.g., robust content filtering, bias mitigation techniques, and output monitoring). - Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products. - Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, with a keen eye on addressing Generative AI safety concerns with an alignment with company objectives. - Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization, fostering a culture of engineering excellence. - Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development, including specific considerations for the safety and ethics of Generative AI. - System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models. - Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering, distributed systems, the application of machine learning to trust and safety, and the evolving landscape of Generative AI safety research and mitigation techniques. WHO YOU ARE - 8+ years of professional software engineering experience, with a strong emphasis on backend systems development. - Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field. - Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems. - Expertise in one or more backend programming languages such as Python, Go, Java, or C++. - Hands-on experience in applying machine learning techniques to solve real-world problems, specifically with demonstrable experience in addressing integrity, trust, or safety challenges. - Solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring. - Exceptional
Strategic Account Executive, CANADA Financial Serv...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Strategic Account Executive (Retail & Commercial Banking, Canada) at Anthropic, you'll join the foundational team introducing our frontier AI platform to Canada's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across Canadian retail banking, commercial banking, and consumer finance organizations. You'll leverage deep Canadian banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for Canadian banking decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across Canada's major banks and credit unions, and running the strategies to win them. By driving deployment of Anthropic's emerging products into Canadian banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across Canadian retail banking, commercial banking, and consumer finance organizations (including the largest banks and major credit unions), carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory (OSFI), and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate Canadian banking needs — customer service, underwriting, risk, operations — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events in Canada Minimum qualifications - Must be based in Toronto, ON - 5+ years of enterprise sales experience in retail or commercial banking, with demonstrated success covering Canadian bank or consumer finance organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platf
Sales Development Manager, Enterprise (AMER)
About the team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. About the role We are hiring a Sales Development Manager, AMER to lead a team of SDRs supporting our Large Enterprise business across North America. Reporting into Sales Development leadership, this role will be responsible for coaching and developing a high-performing team focused on generating qualified pipeline and creating strategic enterprise opportunities. This is a foundational front-line leadership role within OpenAI’s enterprise GTM organization. You will help define how we engage prospective customers, convert product and developer interest into enterprise conversations, and scale repeatable outbound and inbound motions across some of the world’s largest organizations. You will partner closely with Sales, Marketing, Solutions Engineering, Partnerships, and Strategy & Operations to drive pipeline generation and help shape the future of OpenAI’s enterprise growth engine. In this role, you will: - Lead, coach, and develop a team of SDRs supporting Large Enterprise, Verticals, and Strategic Accounts across AMER - Drive high-quality pipeline generation through outbound prospecting, inbound qualification, account-based motions, and product-led signals - Establish strong operational rigor around activity metrics, conversion rates, pipeline quality, and execution consistency - Partner closely with Account Directors and enterprise sales leadership on territory planning, account prioritization, and opportunity development - Help define scalable SDR playbooks across outbound, inbound, ABM, partner-sourced, and product-led motions - Coach SDRs on executive communication, discovery, account research, and strategic prospecting - Build a high-performance, collaborative, and low-ego team culture focused on continuous improvement - Work cross-functionally with Marketing, Partnerships, Solutions Engineering, and Strategy & Operations to optimize pipeline generation efforts - Support hiring, onboarding, and ramping of new SDR talent as the organization scales - Bring market feedback and customer insights back into the broader GTM organization You may thrive in this role if you: - Have 6–10+ years of experience in sales, business development, or GTM roles - Bring experience managing SDRs or business development teams in enterprise SaaS or platform businesses - Have a strong understanding of enterprise prospecting, pipeline generation, and outbound strategy - Are highly operational and data-driven, with experience managing metrics, conversion funnels, and forecasting - Thrive in fast-paced, high-growth environments with evolving processes and ambiguity - Have experience partnering closely with Enterprise Sales teams on strategic account development - Are an exceptional coach who knows how to develop early-career talent into high-performing sales professionals - Communicate effectively with both technical and executive stakeholders - Lead with high standards, accountability, and a low-ego mindset - Are excited about helping enterprises adopt transformative AI technologies Compensation Range: $261K - $305K USD 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.
Head of International Security
Scale AI sits at the intersection of frontier AI, enterprise software, and national security. We safeguard high-value assets: proprietary AI data and infrastructure, a global contributor ecosystem, and sensitive enterprise and government customer data. As our International Head of Security, you will own and unify Scale’s security strategy across our non-US affairs: Global Public Sector and non-US Enterprise deals. You will drive the execution, customer engagements and compliance with frameworks such as GDPR, ISO27001, UK Cyber Essentials Plus, the EU AI Act, NIS2 and country-specific sovereignty requirements while staying tightly aligned to our global secure-by-default architecture set by the Head of Security. As we expand into FDE-led Agentic Applications while continuing to serve our data and model customers, our security surface area spans internal systems, external products, distributed contributors, and high-assurance government environments. You are a builder who believes security is a product feature, not a hurdle — and who can raise both our defensive maturity and our ambition in frontier AI security. What You'll Do Execute the Global Security Strategy Across International Markets - Drive execution of Scale's multi-year secure-by-default roadmap across non-US markets, surfacing regional needs into global architecture decisions. - Translate regional regulatory requirements (GDPR, ISO 27001/27017/27018, SOC 2, UK Cyber Essentials Plus, EU AI Act, NIS2, and country-specific data residency / sovereign-cloud rules) into concrete engineering controls. - Track regional security metrics and accountability, and represent the international perspective in global prioritisation, audits, and roadmap reviews. Lead Regional Security Engineering & Threat Detection - Own the regional execution of identity, fine-grained RBAC, secrets management, CI/CD hardening, encryption, logging, and infrastructure protection with a particular focus on cross-border data flows and in-region telemetry. - Stand up high-fidelity detection and response capabilities that meet local time zone coverage, breach-notification timelines, and regulator expectations. - Drive systemic risk reduction through platform-level controls, partnering with the global security engineering team rather than building parallel stacks. Secure Products, Data, and AI Systems for International Customers - Ensure enterprise-grade protection of customer data, proprietary datasets, and AI assets across regional deployments, including support for in-region processing, encryption with customer-managed keys, and data-localisation commitments. - Design and enforce robust multi-tenant isolation, fine-grained RBAC, and privilege lifecycle management across customer environments serving international enterprises and public sector buyers. - Address AI-specific attack surfaces; prompt injection, tool abuse in agentic workflows, data exfiltration, and model/data integrity risks. - Champion secure SDLC practices, threat modeling, and code review standards within FDE teams. Lead Insider Risk & Contributor Integrity Across International Populations - Partner with Product and Operations to reduce fraud, account compromise, collusion, and identity-based abuse without degrading platform usability, particularly in higher-risk regions. - Implement strong auditability, privilege governance, and behaviour
Industry Product Marketing Manager
About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As an Industry PMM, you will help define how OpenAI brings frontier AI to priority industries. This role sits at the center of OpenAI’s industry marketing motion, helping customers understand where AI can create practical value, improve workflows, and support responsible adoption. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior industry leaders understand how OpenAI models, products, and workflows can support meaningful work in either Life Sciences, Banking, or Healthcare. We’re looking for a product marketer who can combine strategic narrative, technical curiosity, enterprise GTM judgment, and program leadership. The right person can turn fast-moving capability into clear positioning, credible assets, and practical field execution. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own positioning and messaging for OpenAI’s industry offering for either Life Sciences, Banking, or Healthcare. - Build field-ready assets for account directors, solution engineers, industry leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages - Translate frontier model capabilities into simple, accurate, and defensible GTM language for senior enterprise buyers and industry practitioners - Partner with Product, Research, Policy, Legal, Comms, Partnerships, Customer Success, and GTM to coordinate launches, claims, proof points, enablement, and customer-facing guidance - Develop campaigns and activation programs across launches, blogs, webinars, roundtables, executive briefings, conferences, customer proof, and account-based motions - Turn customer deployments, field signal, and partner feedback into approved stories, evidence, ROI narratives, and repeatable industry use cases - Serve as the connective tissue for the industry marketing workstream, keeping priorities, owners, launch readiness, open questions, and executive updates clear - Maintain a high bar for accuracy, governance, customer trust, and responsible marketing in a sensitive and fast-moving category You might thrive in this role if you have: - Have 6+ years of experience in product marketing, industry marketing, vertical marketing, enterprise GTM, or adjacent B2B technology roles - PMM experience in either Life Sciences, Banking, Healthcare, or another regulated/high-trust vertical. - Have experience marketing technical enterprise products to industry, developer, IT, business, operational, or C-suite audiences - Can translate complex model, product, and technical concepts into clear positioning, field assets, and customer-facing narratives - Have strong cross-functional program leadership instincts and can drive work across Product, GTM, Comms, Partnerships, Policy, Legal, Customer Success, and Research - Use customer evidence, field signal, product usage, market research, and competitive context to sharpen strategy and prioritize work - Have experience building GTM programs, operating rhythms, or new playbooks in ambiguous, high-velocity environments - Bring strong writing, messaging, and editorial judgment, with a high bar for clarity, quality, accuracy, and credibility - Are deeply curious about AI, industry transformation, enterprise adoption, and how new capabilities become real customer value - Think strategically about how industry marketing drives awareness, trust, pipeline, adoption, customer proof, and long-term market leadership - Are highly collaborative and effective at influencing senior stakeholders, field teams, technical teams, and external partners - Execute quickly while maintaining a high quality bar across messaging, launch work, enablement, customer proof, and campaign execution 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 (Australia)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies WHAT YOU WILL BRING - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation - Annual salary range: $225,000-$350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned w
Data Center Controls Network Engineer
About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities - Define controls, automation, and OT network requirements for AI data center campuses. - Develop reference architectures, engineering standards, and reusable design templates. - Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements. - Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns. - Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation. - Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements. - Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces. - Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents - Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation. - Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing. - Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures. Qualifications - 8+ years of relevant experience in controls engineering, industrial automation, OT networking, mission-critical facilities, or similar critical infrastructure environments. - Strong expertise in resilient OT network architecture, implementation, troubleshooting, and lifecycle support. - Experience with OT/IT boundary design, secure enterprise integration, firewall policy design, redundant topologies, out-of-band management, and monitoring. - Hands-on experience with Layer 3 OT network design, including IP addressing, subnetting, routing, VRFs, ACLs, inter-VLAN traffic control, and network segmentation. - Hands-on experience with Layer 2 security and switching controls, including MACsec, port security, loop prevention, and switch-level access control. - Hands-on experience in designing resilient OT network topologies using industrial redundancy protocols and architectures such as PRP, HSR, Cisco REP, RSTP/MSTP, and ring or star topologies. - Hands-on experience in designing resilient infrastructure network architectures using HSRP/VRRP, spine-leaf topologies, redundant uplinks, and failure-domain isolation. - Hands-on experience with industrial and infrastructure network equipment such as Cisco switches/routers, Juniper switches/routers, Palo Alto firewalls, Rockwell Automation Stratix switches, Siemens Ruggedcom or comparable industrial networking platforms. - Experience with network management and observability platforms such as Cisco Catalyst Center (DNA Center), Palo Alto Panorama, Juniper Mist, industrial NMS tools, packet brokers, and OT monitoring platforms. - Hands-on experience with industrial Ethernet, VPN tunneling, IPsec-based connectivity, and secure remote access. - Hands-on experience with virtualized OT or controls server environments such as VMware vSAN, Microsoft Azure Stack HCI / Hyper-V, or comparable infrastructure platforms. - Experience with industrial communication and OT infrastructure protocols, including BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces, and strong understanding of their behavior across OT network architectures. - Experience reviewing and producing technical design documentation, commissioning plans, and acceptance test procedures. - Experience with factory witnessed testing, site acceptance testing, failover testing, telemetry validation, protocol compatibility testing, and root-cause analysis. - Ability to use logs, packet captures, and field observations to make sound technical decisions and communicate risk clearly. - Bachelor’s degree in Electrical Engineering, Computer Engineering, Network Engineering, Systems Engineering, or a related discipline. Preferred Skills - Master's degree in Electrical Engineering, Computer Engineering, Network Engineering, Systems Engineering, or a related discipline. - Experience leading multi-campus OT network integration, commissioning, and operations across cross-functional teams, contractors, vendors, and delivery partners. - Relevant networking certifications such as Cisco CCNA/CCNP, Palo Alto PCNSA/PCNSE, Juniper JNCIA/JNCIS, or similar networking credentials. - Cybersecurity certifications such as CISSP, GICSP, ISA/IEC 62443, CompTIA Security+, or similar cybersecurity credentials are a plus. - Experience with network automation, Git-based configuration management, and Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Python, or similar to support scalable OT network deployment and lifecycle management. - Experience with scripting, APIs, and automation workflows that improve OT network operations. - Experience using AI agents or MCP-connected tools to support telemetry analysis,and troubleshooting. - Experience with relational database systems such as PostgreSQL, SQL Server, MySQL, or similar platforms used for OT telemetry, historian integrations, troubleshooting, and reporting. Work Environment and Travel - This role requires periodic travel to data center campuses, vendors, labs, construction sites, commissioning activities, and controls/network cutovers. - The engineer should be comfortable working across office, lab, construction, and live data center environments, including PPE, lockout/tagout, cyber hygiene, and change-control requirements. - Work may include time-sensitive support during commissioning, startup, vendor testing, cutovers, network changes, telemetry issues, automation failures, and operational events. 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.
Data Scientist, Financial Engineering
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. - Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. - Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. - Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have - 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments - Fluency in SQL and Python , with a track record designing and interpreting A/B tests and quasi-experiments - Experience building product metrics from scratch and operationalizing them for decision-making - Excellent communication skills with PMs, engineers, risk/finance partners, and executives - Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience) You could be an especially great fit if you have - Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce) - Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation - Experience with internationalization/local payments, FX, and pricing & packaging strategy - Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering 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.
Medical Fellow - Human Frontier Collective (US)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience. - Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields. - Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions. - Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour week
Senior AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern
Partnerships Lead Southern Europe
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Responsable des partenariats AWS, Europe du Sud À propos du poste Anthropic recrute un responsable des partenariats AWS pour piloter et développer notre stratégie de co-vente AWS en Europe du Sud. Il s’agit de notre deuxième recrutement dédié au GTM pour AWS dans la région EMEA, une opportunité rare de définir le modèle de collaboration commerciale entre Anthropic et AWS dans la région — à partir de zéro. Vous représenterez Anthropic auprès des équipes commerciales d’AWS en Europe du Sud. Vous développerez le pipeline d’opportunités commun, mènerez des actions de co-vente auprès des grands comptes et façonnerez la manière dont la technologie IA de pointe atteint le marché dans le cadre de l’un de nos partenariats les plus stratégiques. Vous évoluerez avec peu de structure locale en place, et c’est précisément l’enjeu. Vous définirez la stratégie, influencerez les parties prenantes des deux organisations et ferez évoluer un partenariat naissant en un véritable moteur de croissance. Il s'agit d'un rôle à fort impact, de création ex nihilo, pour quelqu'un qui s'épanouit dans l'ambiguïté, qui possède une solide expérience des partenariats cloud et qui souhaite contribuer à la commercialisation de l'IA de pointe de manière sûre et responsable. Principales responsabilités : - Prendre en charge les actions de co-vente AWS et la stratégie GTM dans l’Europe du Sud, notamment en France, en Italie, en Espagne et sur les marchés environnants - Établir et entretenir des relations de confiance avec les dirigeants et les équipes de terrain des organisations partenaires et commerciales d'AWS dans la région - Élaborer et exécuter des plans d'affaires conjoints, des stratégies de co-vente et des programmes d'activation adaptés aux marchés du Sud de l'Europe - Développer le pipeline d’opportunités, contribuer à son accélération et générer des revenus via AWS, en assurant les prévisions et l’atteinte des objectifs régionaux - Collaborer étroitement avec les équipes commerciales, marketing partenaires, marketing produits et partenariats internationaux d’Anthropic afin d’aligner l’exécution régionale sur la stratégie globale - Concevez et organisez des engagements clients, des moments marketing et des activités commerciales conjoints afin d'accélérer l'adoption d'Anthropic sur AWS - Fournir des informations sur le marché et une analyse concurrentielle aux équipes produit et GTM afin d'orienter notre positionnement dans la région - Animer des revues d'activité régionales avec la direction régionale d'AWS et les parties prenantes internes Qualifications requises : - Expérience en matière de partenariats stratégiques, de partenariats cloud ou de ventes aux entreprises dans le secteur des technologies d'entreprise - Expérience directe de partenariat ou de travail au sein d'un hypersca
Member of Technical Staff - ML Performance
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! REQUIREMENTS: - 5+ years of experience writing high-quality, high-performance code. - Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). - Familiarity with Nvidia GPU architecture and CUDA. - Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). - Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
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