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Research Intern, Inference (Winter 2027)
About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities - Design and conduct rigorous experiments to validate hypotheses - Communicate the plans, progress, and results of projects to the broader team - Document findings in scientific publications and blog posts Requirements - Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Strong programming skills in Python - Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications - Prior research experience in foundation models , efficient machine learning , or ML systems . - Publications at leading conferences in machine learning or systems (i.e., MLSys, ICLR ). - Experience with CUDA programming (for kernel development) - Understanding of model optimization techniques and hardware acceleration approaches - Contributions to open-source machine learning projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Research Intern, Inference (Summer 2027)
About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities - Design and conduct rigorous experiments to validate hypotheses - Communicate the plans, progress, and results of projects to the broader team - Document findings in scientific publications and blog posts Requirements - Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Strong programming skills in Python - Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications - Prior research experience in foundation models , efficient machine learning , or ML systems . - Publications at leading conferences in machine learning or systems (i.e., MLSys, ICLR ). - Experience with CUDA programming (for kernel development) - Understanding of model optimization techniques and hardware acceleration approaches - Contributions to open-source machine learning projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Research Intern, Frontier Agents (Winter 2027)
About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities - Research and implement novel techniques in one or more of our focus areas - Design and conduct rigorous experiments to validate hypotheses - Document findings in scientific publications and blog posts - Communicate the plans, progress, and results of projects to the broader team Requirements - Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field - Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Understanding of how LLMs work - Strong programming skills in Python - Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions - Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows - Designing and curating datasets for frontier agents alignment and post-training - Studying failure modes and developing safety paradigms for agentic behavior - Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion - Building agents that act on spoken input to carry out complex, multi-step tasks - Developing ML infrastructure that can power agent operations at scale About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy
Research Intern, Frontier Agents (Summer 2027)
About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities - Research and implement novel techniques in one or more of our focus areas - Design and conduct rigorous experiments to validate hypotheses - Document findings in scientific publications and blog posts - Communicate the plans, progress, and results of projects to the broader team Requirements - Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field - Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Understanding of how LLMs work - Strong programming skills in Python - Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions - Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows - Designing and curating datasets for frontier agents alignment and post-training - Studying failure modes and developing safety paradigms for agentic behavior - Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion - Building agents that act on spoken input to carry out complex, multi-step tasks - Developing ML infrastructure that can power agent operations at scale About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy
Research Intern, Model Shaping (Winter 2027)
Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: - Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning - New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) - Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: - Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) - Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) - FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities - Research and implement novel techniques in one or more of our focus areas - Design and conduct rigorous experiments to validate hypotheses - Document findings in scientific publications and blog posts - Integrate the research results into Together products Requirements - Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements - Prior research experience with training foundation models or efficient machine learning - Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) - Understanding of model optimization techniques and hardware acceleration approaches - Contributions to open-source machine learning projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th either in our San Francisco or Amsterdam Office. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Research Intern, Model Shaping (Summer 2027)
Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: - Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning - New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) - Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: - Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) - Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) - FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities - Research and implement novel techniques in one or more of our focus areas - Design and conduct rigorous experiments to validate hypotheses - Document findings in scientific publications and blog posts - Integrate the research results into Together products Requirements - Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements - Prior research experience with training foundation models or efficient machine learning - Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) - Understanding of model optimization techniques and hardware acceleration approaches - Contributions to open-source machine learning projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd in our San Francisco or Amsterdam office. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Staff Application Engineer
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelines in Databricks, integrating & curating data through a medallion architecture, and defining semantic and domain models in Unity Catalog with subject-matter experts. You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities such as Unity Catalog functions, Mosaic AI, and model serving. You will own your systems from architecture through production operations, applying strong engineering, data quality, security, evaluation, and observability practices throughout The ideal candidate is a hands-on data and software engineer who can turn ambiguous enterprise needs into reliable data products and focused AI-enabled solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: Data Pipelines and Semantic Layer (Primary) - Build and operate pipelines that ingest source-system data into Databricks using a medallion architecture across bronze, silver, and gold layers, with lineage, provenance, access controls, and logging. - Partner with subject-matter experts to define and evolve domain, ontology, and semantic models in Unity Catalog, then curate reliable data products into those models. - Own data quality for the pipelines and products you build, implementing tests, monitoring, and alerting so issues surface before they reach downstream consumers. - Integrate enterprise systems through APIs, events, and middleware while applying appropriate authentication, retries, reconciliation, and auditability. Agents on the Databricks Data Layer (Secondary) - Build production agents and retrieval-augmented applications grounded in governed Databricks data, using Unity Catalog functions as tools and Mosaic AI or model-serving capabilities. - Add authorization, approvals, and auditability for consequential actions performed through agents or AI-enabled orchestrations. - Create evaluation sets and observability for the agents you ship, including groundedness, latency, cost, and production feedback, and use the results to improve them. Engineering Fundamentals - Apply solid engineering practices, including automated testing, code review, CI/CD, documentation, on-call support, and concise design notes. - Own architecture decisions for your systems and communicate material tradeoffs clearly to technical and business partners. Required Qualifications: - Bachelor’s degree in a related field, or equivalent practical experience. - 8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role. - Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage. - Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving. - Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built. - Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support. - Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability. - Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar. - Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products. Desired Qualifications: - Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools. - Experience with enterprise or federated search, vector databases, or permission-aware retrieval. - Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI. - Experience with LLM or agent evaluation and observability, such as MLflow tracing. - Experience with dimensional modeling or master data management. - Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad. - Experience with GCP or AWS data services, dbt, containers, or serverless computing. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position. Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Partner Development Manager, AI Partnerships
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Worldwide Alliances and Channels team develops and manages partnerships that help businesses adopt Stripe’s payments and financial infrastructure. These partnerships create new routes to customers, extend the reach of Stripe’s Sales teams, and help Stripe and its partners serve shared customers. The role sits on the Americas Alliances and Channels Tech Partnerships team. The team builds and executes joint go-to-market initiatives with major technology companies, with the goal of accelerating Stripe’s commercial growth. As part of this team, you’ll lead global partnerships across the artificial intelligence ecosystem, with an initial emphasis on leading AI labs. You’ll work across Sales, Marketing, Product, Solutions Architecture, and regional partnerships teams to develop shared opportunities and turn them into scalable global partner strategies. What you’ll do As a Partner Development Manager, you’ll define and build Stripe’s global partnerships across the artificial intelligence ecosystem, initially focusing on leading AI labs. Although the role sits on the Americas Alliances and Channels Tech Partnerships team, its mandate is global. You’ll establish relationships across partner organizations, develop shared value propositions, and translate early opportunities into joint commercial and product initiatives. This is an opportunity to build a new partnership motion from the ground up. You’ll start with focused opportunities, determine what works, and create a playbook that Stripe’s regional teams can apply around the world. Your work will span co-selling, co-marketing, and co-building. Responsibilities - Build senior relationships across the commercial, partnerships, product, and technical organizations of Stripe’s priority AI partners - Develop and execute global partner strategies, including shared value propositions, joint business plans, success measures, and operating cadences - Identify and launch co-selling, co-marketing, and co-building initiatives that create value for Stripe, its partners, and shared customers - Coordinate cross-functional teams across Sales, Marketing, Product, Solutions Architecture, Legal, Finance, and regional partnerships - Work with Product and technical teams to identify opportunities for product collaboration and support productive technical conversations with partners - Create repeatable partnership playbooks that regional teams can adapt for local markets and AI ecosystems - Assess partnership performance, identify opportunities and risks, and communicate progress clearly to senior stakeholders Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 8 or more years of experience in strategic partnerships, partner development, business development, or a related commercial role within technology or another complex business-to-business environment - Experience building a strategic technology partnership from its early stages and translating the relationship into joint commercial, go-to-market, or product outcomes - Experience developing and executing joint go-to-market plans with external partners and cross-functional Sales, Marketing, Product, or technical teams - Experience building relationships with senior external stakeholders and leading global or distributed teams through influence - Bachelor’s degree and willingness to travel Preferred qualifications - Experience managing partnerships with artificial intelligence companies, cloud providers, data platforms, developer platforms, or other global technology ecosystems - Understanding of the artificial intelligence and data value chain, including the commercial and technical considerations involved in building partner ecosystems - Experience across co-selling, co-marketing, and product or technical collaboration - Experience developing a partnership framework or playbook that was adopted across multiple regions or teams - Experience in payments, financial infrastructure, financial services, or commerce
Account Executive, AI Sales
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do - Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue - Own the full sales cycle, from business case development, to deal structuring and negotiating, to close - Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams - Drive deal strategy and commercial negotiations for large, complex renewals - Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions - Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship - Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture Minimum requirements - * 8+ years of sales experience, preferably selling a technical product, with a track record of top performance - 4+ years leading complex sales cycles with Enterprise organizations required - Ability to understand technical requirements and craft solutions across multiple products - Ability to develop and execute account plans spanning multiple business units across complex organizations - A knack for working well with a wide range of people, both internally and externally - Strong presentation skills, particularly for in-person meetings with multiple stakeholders - Proven ability to lead complex negotiations involving bespoke commercial agreements - Superior verbal and written communication skills - Ability to operate in a highly ambiguous and fast-paced environment - Strong interest in technology and a deep understanding of the space
Web Content Engineering & AI Visibility Lead
As Lead of Web Content Engineering & AI Visibility on Datadog’s Web Experience team, you will own how we use our content management system (CMS), build and maintain the pages across datadoghq.com, and improve the technical SEO and AI discoverability that help those pages get found and cited. You will partner across Marketing, UX, and Engineering to turn content into effective web experiences and bring discoverability insights into planning and prioritization. You will also use AI, agents, and automation to shorten the path from recommendation to published page and make reporting and insights more accessible to stakeholders. This role offers the opportunity to shape how Datadog evolves its web presence as search and AI-driven discovery continue to change. 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: - Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows - Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution - Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages - Establish consistent structural standards across owned web properties and monitor site health to identify and address issues - Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort Who You Are: - Experienced building and maintaining web pages in a modern CMS such as DatoCMS, Contentful, Adobe Experience Manager, or a similar platform - Strong in technical SEO and AI discoverability fundamentals, including structured data, headings, internal linking, crawlability, and how AI answer engines interpret web content - Comfortable using platforms such as Conductor, Profound, or similar tools to measure discoverability and inform web decisions - Able to take content created for other formats and structure it into clear, effective web experiences - Experienced using AI, agents, automation, or reusable workflows to reduce repetitive work and improve operational efficiency - Organized across requests from multiple teams and able to plan and prioritize work while maintaining quality 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 & Growth: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture 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 compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $119,000 - $159,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Manager II, Engineering - Database Monitoring (AI)
The Database Monitoring product is one of the fastest growing products at Datadog. We are not only monitoring databases, but providing self-healing loops on to our customers. For instance, we are building an AI agent which detects, remediates, validates, and deploys optimizations. We are seeking ambitious leaders who want to drive these initiatives from the ground up and own the lines of business which rely on them. You will help build and develop engineering teams, partner closely with Product, and help launch new capabilities that deliver measurable value to developers. AI-forward leaders with product engineering backgrounds will thrive in this role. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Launch new products and businesses into new markets. - Drive adoption and business outcomes alongside technical delivery, using customer feedback and product data to guide investment. - Continuously challenge the team to think about new vectors for market penetration. Our goal is to be in the toolkit of every company using a database. - Own the roadmap of the Database Monitoring product, with particular emphasis on AI features and developer personas. - Hire, mentor, and develop engineering managers and staff engineers across multiple geographies. Who You Are: - You have hands-on experience partnering directly with customers to refine product experiences, find product-market fit, and coach teams through the process. - You take ownership beyond product delivery, leading the go-to-market strategy and driving adoption and commercial success. - You have a proven track record scaling exceptional product engineering teams: hiring, coaching, performance management, and building appropriate team structures. - You have experience deploying applications on Postgres. 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: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits 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 compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $244,000 - $305,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Manager I, Engineering - Code Intelligence
Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. 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 employees can create a work-life harmony that best fits them. What You'll Do: - Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. - Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. - Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. - Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. - Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. - Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: - Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. - Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, harness and tool-use development, and closed-loop evaluation systems including LLM-as-judge. - Strong product and customer mindset — you put solving customer problems first and know how to ship and iterate quickly. - Comfortable setting your own product strategy in an ambiguous environment rather than executing a pre-defined roadmap. - SDLC and developer tooling background is a plus but not required — strong AI and agent experience is what matters most. - 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: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits 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 compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000 - $240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
AI Product Engineer
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. We are seeking a talented and motivated early-career software engineer to join the Match Group Core in a brand new role enabling greater productivity in non-technical teams through bespoke software and workflow solutions. Match Group Core is the central services division for Match Group, providing shared services and data solutions for all brands under the Match Group portfolio, including Tinder, Hinge, Match.com, POF, OKC, and many others. Additionally, Match Group Core is a technical service provider for many internal central and corporate teams, such as HR, Finance, Accounting, Legal, Privacy, Marketing, IT, and Security. With a special focus on internal product development and workflow enablement, you'll play a crucial role in designing, building, and maintaining internal products and workflow solutions (HR/People-focused) that benefit employees across the organisation. Most crucially, you will be enabled with extensive agentic tooling to achieve your goals, and in turn, you will be expected to impart your expertise on your stakeholders, and enable them with AI to achieve their own goals. This role is a paid, fixed-term 4-6 month internship, with an opportunity that this role can be converted into a full-time permanent position at the conclusion. This is also a hybrid role, and requires in-office collaboration three times per week. In this role, you will: In this role, you will: Partner directly with corporate teams (primarily HR) to understand their problems and ship working internal tools quickly: dashboards, portals, small web apps, reports, and integrations. Use AI-assisted development tools (Claude Code, Cursor, Codex, etc) as your primary means of building, while applying engineering judgement to what those tools produce. Administer, optimize, and expand a multi-tenanted Databricks platform to meet evolving analytics and business intelligence requirements. Teach and coach non-technical stakeholders to build and maintain their own AI-assisted workflows and tools, which may include running informal group sessions and pairing sessions, or producing guidance, templates, or sufficient guardrails that they can leverage or re-use. Develop and deliver solutions according to lightweight but sensible software development methodologies, with close collaboration MG Core's product engineering arm, to ensure what is built is secure and maintainable. Create and maintain clear documentation, including technical notes, integration docs, and operational and how-to guides written for a non-technical audience. Monitor and troubleshoot the tools you ship, providing timely fixes and keeping stakeholders informed. Keep up to date with the fast-moving AI tooling landscape and bring the best of it back to the team. Gain broad exposure across Match Group’s central services and corporate functions. You'll need: 0-2 years of professional experience as a software engineer, or a recent degree, diploma, or bootcamp qualification in a relevant field. Hands-on experience using agentic development harnesses and similar AI tools (Claude Code, Cursor, Codex, etc), with experience or familiarity with agentic instructions ( AGENTS.md , skills) and MCP servers. A strong understanding of foundational software principles and programming fundamentals, as well as development lifecycles, spanning source control (GitHub), CI/CD (automated testing and quality analysis), and monitoring (logs, metrics, error detection and troubleshooting). Familiarity with software delivery methodologies, such as agile scrum or kanban. Experience in building modern web frontends (using React or similar), as well as accompanying backend REST APIs. Familiarity with relational/SQL, as well as NoSQL or KV databases. Working knowledge of cloud platforms (such as AWS, GCP, Azure, Cloudflare), including conceptual understanding of serverless concepts. Strong interpersonal and communication skills - a significant part of this role is explaining technical work to non-technical people, so patience, empathy, and clarity matter as much as coding ability. Solid understanding of IT security concepts, as well as sound judgement around data sensitivity and confidentiality - much of what you build will touch employee and business data. Excellent problem-solving skills and a bias toward delivering value quickly rather than getting it perfect - as is the nature of internal tooling. Strong enthusiasm for software development and eagerness to learn and grow. Legally authorized to work in Canada for the duration of the internship. Nice to have: Any exposure to HRIS platforms, especially Workday - even light experience as a user or administrator of a HRIS or similar is valuable here. Experience in the Human Resources domain, or with people data, recruiting, payroll, or benefits systems. Experience working within specific cloud environments, namely Cloudflare (primary) and AWS (secondary). Experience working with serverless hosting technologies, such as Cloudflare Workers. Experience working within containerised environments, such as Docker and/or DevContainers. Exposure or experience working within project management tools such as Jira or Monday.com. Experience contributing to open source projects. Experience working at a B2B or SaaS company.
Sales Leader, Sales Development, Enterprise
Perplexity is seeking a Sales Leader to build and scale our enterprise BDR organization. In this second-line leadership role, you will inherit a team of Business Development Representatives, hire, coach, and lead BDR managers, equipping them to build high-performing teams that generate qualified pipeline for our Account Executives. This role is ideal for a creative, agile sales development leader who knows how to scale through managers without losing touch with buyers or frontline execution. In the near term you are expected to be hands on with BDRs and in the weeds. You will set the strategy, develop the team, and build an org that is adaptable to keep pace with the company quickly evolving. We are looking for someone who brings original ideas, moves rapidly from insight to execution, and knows when to scale, adapt, or stop an approach. You will build what works for Perplexity, not simply import a playbook from your last company. RESPONSIBILITIES - Hire, onboard, and develop BDRs and BDR managers, establishing clear expectations for team performance, coaching quality, hiring, and talent development - Own the organization's contribution to sourced pipeline and qualified opportunities, holding managers accountable for pipeline quality and conversion, not activity volume alone - Set the sales development strategy across inbound and outbound motions, partnering with Sales leadership on coverage, capacity planning, account prioritization, and resource allocation - Build a culture of creative experimentation across targeting, vertical messaging, channels, campaigns, and AI-native workflows; give managers room to test ideas, measure results, and scale what works - Lead with agility as products, buyer behavior, and business priorities evolve, translating new information into clear decisions and fast execution without creating unnecessary process - Coach managers to build vertical fluency and product expertise on their teams so BDRs can engage credible buyers and connect the right Perplexity offering to each account - Establish the management operating rhythm: manager 1:1s, pipeline and conversion reviews, coaching calibration, talent reviews, and a consistent performance scoreboard across teams - Partner with Sales, Marketing, RevOps, and Strategic Finance on campaign strategy, lead quality, routing, handoff standards, source attribution, headcount planning, and compensation design - Stay close to calls, messaging, and buyer feedback to identify patterns and remove systemic blockers while empowering managers to own day-to-day execution - Build a strong leadership bench and internal talent pipeline, developing BDRs into future Account Executives and high-performing managers into broader leadership roles QUALIFICATIONS - 8+ years in SaaS sales or business development, including 3+ years in sales development leadership - Proven track record of building or scaling a multi-team pipeline generation organization in a high-growth environment, with measurable improvements in qualified pipeline, conversion, and productivity - Demonstrated ability to hire, coach, and develop managers, build accountability through leaders, and improve performance without becoming the team's day-to-day manager - Creative approach to pipeline generation, with examples of original campaigns, messaging, channels, or workflows you tested and translated into repeatable results - Demonstrated agility in ambiguous, fast-changing environments; able to make sound decisions with incomplete information, learn quickly, and change course when evidence warrants it - Strong commercial judgment and experience aligning sales development priorities with enterprise sales cycles, buyer needs, and revenue goals; prior closing experience strongly preferred - Data-driven operating style with experience in funnel analysis, capacity planning, forecasting pipeline contribution, and distinguishing meaningful outcomes from vanity metrics - Hands-on experience with modern prospecting tools, AI-native sales workflows, and CRM systems such as Salesforce, with a clear point of view on where automation improves execution and where human judgment matters - Exceptional written and verbal communication; able to align senior cross-functional stakeholders and translate strategy into clear priorities for managers and their teams - Bachelor's degree or equivalent experience
Member of Technical Staff (Search Core, Indexing &...
Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure
Consumer Support Specialist
ABOUT THE TEAM The User Operations team at Perplexity AI is the frontline of our user experience. We ensure that our AI-powered search and answer engine delivers real value to every user—from individual consumers to teams and organizations. Our team operates across 3-4 active support channels—email, in-app messaging, Slack, and community—and collaborates closely with Product, Engineering, Billing, and Growth to turn user feedback into product improvements. We’re a lean, fast-moving group at a startup that ships constantly, so everyone on the team wears multiple hats and contributes well beyond just resolving tickets. ABOUT THE ROLE Perplexity launches new features and products at a rapid pace—and this role sits at the center of that. We need a User Operations Generalist who combines excellent customer support instincts with real technical depth. You’ll handle high volumes of user inquiries across channels while also digging into product issues, using customer feedback to uncover problems, and providing solutions that improve the experience for everyone. This isn’t just ticket work. As new features and products ship, you’re the person who hears about it first from users—what’s working, what’s confusing, and what’s broken. You’ll use those interactions to surface insights that shape how launches land, identify issues before they scale, and provide clear solutions back to users. You’ll also build automations and improve workflows that make the team faster and smarter, so we can keep up with the pace of the product without sacrificing quality. You should be comfortable operating across multiple support channels and have experience standing up or optimizing multi-channel support operations—not just working in them, but thinking critically about how they’re structured, routed, and scaled. This role requires someone who can navigate ambiguity and fill in the gaps where processes don’t yet exist. You won’t always have a playbook—and that’s the point. We need someone who can define the path forward, not just follow one. You’re a strong, independent operator who doesn’t need to be told what to do next: - You see the gap—whether it’s a missing Help Center article, a broken workflow, or a pattern in user tickets—and you move to fix it - You’re self-motivated and take initiative, but you also know when to ask questions - You communicate effectively with the team—keeping people informed, surfacing blockers early, and making sure nothing falls through the cracks - We won’t hold your hand through this role, and we wouldn’t want to—because you’re the kind of person who thrives when given ownership and trust RESPONSIBILITIES - Handle a high volume of user inquiries across channels (email, chat, Slack, community) with speed, accuracy, and empathy for both consumer and business users. - Deliver excellent customer support—clear, thoughtful, and human—even under pressure and at scale - Triage and prioritize effectively to keep response and resolution times on target - Use customer feedback and support interactions as a primary source for uncovering product issues, UX confusion, and feature gaps—especially as new products and features launch - Investigate and troubleshoot product issues: reproduce problems, isolate root causes, provide users with solutions or workarounds, and document findings for Engineering - Guide users through technical troubleshooting: AI search, LLM behavior, account configuration - File well-documented bugs in Linear with enough context for Engineering to act immediately - Leverage AI tooling and automation (Intercom, scripts) to streamline operations, reduce repetitive work, and scale support quality - Write and maintain Help Center articles, internal SOPs, escalation playbooks, and troubleshooting guides - Communicate cross-functionally—surface user insights to Product and Engineering, escalate issues, close the loop, and keep teammates informed - Track support KPIs and propose data-driven process improvements REQUIREMENTS - 3+ years in customer support, user operations, or technical support—ideally at a SaaS or tech company - Proven ability to manage high ticket volumes while maintaining quality and empathy - Excellent customer-facing communication: clear, professional, and adaptable to different audiences - Technical aptitude: comfortable working through product issues, navigating technical questions independently, and learning new tools and systems quickly - Hands-on experience with AI tools and automation platforms (Intercom workflows, scripting) to improve operations - Familiarity with AI, LLMs, or search technologies - Strong internal communication—keeps their immediate team informed, writes crisp updates for immediate team and cross-functional partners (Product, Engineering, etc.), and ensures stakeholders stay in the loop on issues and progress - Self-motivated and proactive: manages own priorities, takes initiative, delivers without waiting for direction - Experience creating user-facing documentation (e.g., Help Center articles, FAQs, guides) as well as internal SOPs, templates, and playbooks - Experience with multi-channel support operations—not just working across channels, but helping stand up, optimize, or scale how support is structured and routed - Comfortable in a fast-paced, high-volume startup environment with shifting priorities NICE TO HAVE - Experience with support and operations tooling such as Intercom, Parahelp, Linear, Notion, or Stripe. - Familiarity with prompting techniques and LLM optimization - Basic web tech understanding (HTTP, REST APIs, JavaScript, HTML) - Data analysis tools (SQL, Looker, Snowflake) - Scripting or lightweight automation background (Google Apps Script, Python) - Experience at an early-stage or high-growth startup WHO YOU ARE You’re the kind of person who: - Sees a gap and fills it before anyone asks - Thrives in high-volume environments and keeps quality high even when things move fast - Thinks creatively—you don’t just follow the playbook, you look for better ways to solve problems and aren’t afraid to try something new - Treats every user interaction as a chance to learn something about the product - Gets energized by building automations that save the team hours - Communicates with clarity—whether writing a Help Center article, filing a bug, or updating the team in Slack - Takes full ownership end-to-end: you don’t just escalate, you follow through WHY PERPLEXITY? Impact at Scale – Your work directly influences millions of users and shapes the future of AI-powered search. Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality. Cutting-Edge Tech – Operate at the forefront of applied LLMs and help define how AI transforms customer support.
International Marketing Lead, SMB Ads
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring an International Marketing Lead, SMB Ads, reporting to the Head of SMB Ads Marketing, to build and scale OpenAI’s SMB Ads business outside the United States. You will own SMB business targets across international markets and lead the team and cross-functional plans that deliver advertiser acquisition, activation, retention, and revenue growth. This is a strategic and hands-on leadership role at the intersection of product marketing, growth marketing, demand generation, lifecycle marketing, partnerships, and sales enablement. You will directly manage the international SMB Ads marketing team and lead its work within a global matrix: set country priorities and resource choices, translate global strategy and capabilities into regional and local execution, and bring local insight back to shape global plans. In this role, you will: - Own international advertiser and revenue targets. Translate them into country plans spanning acquisition, activation, retention, expansion, and advocacy. - Prioritize countries based on market potential, product readiness, channel economics, and regulatory and operational requirements. Balance global consistency with local relevance. - Launch locally relevant go-to-market programs with regional marketing, sales, and partnership leaders across positioning, demand generation, lifecycle, education, offers, and conversion. - Improve the international advertiser experience with Product, Engineering, Data Science, and Operations, from signup and campaign creation to payments, measurement, support, and trust. - Align regional sales leaders around shared growth goals, market plans, enablement, and coordinated customer engagement. - Direct investment across markets and programs. Align budgets, team capacity, agency resources, and global capabilities with growth opportunities, and refine allocation as results emerge. - Lead international performance reviews, forecasting, and growth initiatives with Sales, Product, and Finance. Use experimentation, funnel insights, and return on investment to improve results. - Hire, coach, and develop the international SMB Ads marketing team. Establish clear goals and a culture of experimentation, collaboration, and accountability. - Connect regional and local insights to global strategy. Establish planning and review rhythms that shape marketing, product, and operational roadmaps. You might thrive in this role if you: - Bring significant experience owning international business or growth targets, with measurable customer and revenue results in SMB, self-serve, advertising, SaaS, marketplace, commerce, or fintech businesses. - Demonstrate success hiring and developing marketing teams, scaling across countries, and leading collaboration among global, regional, and local teams. - Balance global strategy with local customer needs, prioritizing investment across markets, segments, and programs. - Understand how to acquire, activate, educate, and retain SMB customers at scale. - Use funnel data, market research, customer insight, and experiments to make clear decisions in evolving markets. - Build trusted partnerships with regional sales and marketing leaders, global specialist teams, Product, Engineering, Partnerships, Legal, and Operations. - Combine growth, lifecycle, content, partner, and field programs into effective market plans. - Bring familiarity with advertiser acquisition, campaign setup, and education on platforms such as Google Ads, Meta Ads, TikTok for Business, Amazon Ads, Reddit, or Snap. - Translate strategy into execution, launching programs, evaluating results, and scaling successful approaches. 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.
Clinical Supply Chain Manager
Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As Clinical Supply Chain Manager, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making London your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is £62,400 to £84,000. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Associate Director, Clinical Supply Chain
Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As the Associate Director of Clinical Supply Chain, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making London your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is £84,000 to £98,900. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Head of Finance - Data Centers
About the Role As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects. This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale. In this role, you will: - Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks. - Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs. - Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early. - Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance. - Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate. - Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs. - Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff. You might thrive in this role if you have: - Prior experience as the finance leader for large-scale data center builds or major electric generation projects. You have directly owned investment analysis, capital budgets, and financial decisions through development and construction. - Prior experience in investment banking or private equity. This is a strong preferred part of the background for this role. - 10+ years of experience across strategic finance, infrastructure finance, project development, or related fields. - Strong command of project finance, capital project economics, capex and cash flow forecasting, budget management, and the financing structures used to develop large infrastructure assets. - Excellent financial modeling skills and the judgment to test assumptions, quantify uncertainty, and recommend a path forward. - Working knowledge of construction cost drivers and risks, including utility and power timelines, procurement, contracts, and change orders. - The ability to work closely with technical and construction teams while communicating clearly with senior finance and business leaders. - Strong track record of hiring, leading and developing high performing teams. 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.
Payroll Analyst
We are seeking an experienced and detail-oriented US Payroll Specialist to oversee our end-to-end multi-state payroll operations. In this role, you will ensure accurate, timely, and compliant payroll processing for all US-based employees while managing internal payroll initiatives. The ideal candidate is a strategic problem-solver with deep expertise in US labor laws, taxation, and ADP+Workday payroll systems. You will: - Full-Cycle Payroll Processing: Oversee the accurate and timely processing of multi-state bi-weekly and semi-monthly payrolls for over a thousand exempt and non-exempt employees across most of the USA. - Compliance & Taxation: Ensure strict adherence to federal, state, and local tax laws, as well as FLSA regulations. Monitor regulatory changes and update internal systems accordingly. - Year-End Processing: Manage year-end payroll activities, including W-2 and W-2c generation, fringe benefit reporting, and annual tax reconciliations. - Cross-Functional Collaboration: Partner closely with HR to ensure accurate data flow for onboarding, offboarding, benefits deductions, and compensation changes. Ability to work with Accounting to ensure accurate general ledger mapping, month-end close procedures, and payroll account reconciliations. - System Administration & Optimization: Act as the primary subject matter expert for our payroll system (e.g., Workday, ADP). Identify bottlenecks, recommend process improvements, and lead system upgrades or implementations. - Issue Resolution, Continuous Improvement & Auditing: Conduct regular audits of payroll data to identify and resolve discrepancies. Serve as the ultimate point of continuous improvement with AI and other methodologies to ensure Scale’s payroll processes are best in class. Ideally you'd have: - 5+ years of payroll experience. - Strong organizational skills; the ability to get all priority tasks completed by the end of each day. - Confidentiality and integrity. - Accuracy under pressure and extreme attention to detail. - Experience with ADP WorkforceNow and Workday. - Bachelor’s degree. - Technical proficiency. Nice to haves: - Advanced AI technical skills. - Excellent communication skills. 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: $121,600 - $152,000 USD 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 provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Global Transportation Programs, Senior Manager
About the Team The Real Estate & Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence. About the Role As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options. We’re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You’ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales. Location and work model : San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays. In this role, you will: - Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery. - Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost. - Build a scalable operating model across regions, including repeatable launch playbooks, clear global and local ownership, vendor standards, integrated tools and reporting, and training for local teams. Adapt programs to local infrastructure, regulations, and benefit practices without rebuilding the approach for every office. - Manage transportation vendors from sourcing and onboarding through service reviews, renewals, corrective action, and transitions, partnering with Strategic Sourcing and Legal on commercial terms. - Own program budgets, forecasts, invoice review, and business cases; use utilization and cost data to recommend where to invest, optimize, or retire services. - Partner with Workplace Operations, Real Estate, Facilities, Corporate Security, People/Benefits, Payroll, Finance, Legal, IT, and Internal Comms to clarify ownership and deliver integrated programs. - Work with Benefits, Payroll, and Legal to design and administer transit benefits, parking eligibility, subsidies, and reimbursement policies appropriate to each market. - Establish clear service levels, incident escalation, backup plans, and outage communications so employees can navigate disruptions safely and confidently. - Improve the end-to-end employee journey, including discovery, enrollment, booking, support, and feedback; build clear intake, tracking, and resolution processes with internal teams and vendors. - Measure service reliability, adoption, capacity utilization, employee satisfaction, accessibility, and cost effectiveness; turn findings into improvements and concise leadership recommendations. You might thrive in this role if you: - Have directly built and scaled employee transportation programs across multiple countries during significant organizational growth, with demonstrated results in new-market launches, service reliability, adoption, and cost management. - Bring hands-on experience across multiple transportation modes, including shuttles, parking, micromobility, and transit or commuter benefits, with the ability to manage an integrated portfolio. - Can turn ambiguous expansion needs into practical plans, budgets, operating standards, and clear decisions while staying close to daily service delivery. - Have managed complex vendor relationships and commercial performance, including service levels, budgets, procurement processes, and service recovery. - Use data to evaluate demand, service quality, utilization, and cost, and can explain tradeoffs clearly to employees, partners, and leaders. - Build effective partnerships across functions, regions, and external providers, and can drive decisions and accountability without relying on formal authority. - Apply sound judgment to safety, accessibility, local requirements, and employee data, bringing in the right specialists when needed. - Communicate clearly, act on feedback, and remain calm and accountable during service disruptions or changing priorities. - Experience with commute-management platforms, transportation demand management, sustainability measurement, or systems integrations is a plus. 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.
Engineering Manager, Library
About the team The ChatGPT Library team is building the persistence layer that helps people and organizations collaborate with increasingly capable AI systems. ChatGPT Library provides users with a durable place for their files, context, and creations, forming a substrate between humans and agents—a foundation for AI that can remember, retrieve, and act on the right context over time. The team sits within the Personalization organization and partners closely with product, design, research, model, and infrastructure teams. Its work helps models become a useful second brain for individuals—for example, answering questions such as “What did I work on last week?”—and supports enterprise use cases that turn company knowledge into accessible, actionable context. About the role We are looking for a hands-on engineering manager to lead a team of approximately 9–10 engineers and own execution across the product roadmap. This is a technical leadership role for someone who can set a high product bar, build a strong team, shape architecture, and contribute directly when needed. You will form and translate an ambitious product vision into a focused roadmap and help the team ship reliable, intuitive experiences at the intersection of AI, knowledge, and collaboration. The ideal candidate leads by example. You are comfortable moving between people leadership, product decisions, technical design, and code. Founder or early-stage startup experience is especially valuable because the role requires urgency, sound judgment under ambiguity, and a willingness to operate across boundaries. In this role you will • Lead, coach, and grow a team of approximately 9–10 engineers while creating clarity, accountability, and a healthy execution rhythm. • Own the engineering roadmap for Library, working with product and design partners to prioritize the highest-impact problems. • Set a high bar for product quality, technical excellence, reliability, privacy, and user trust. • Provide hands-on technical leadership through architecture reviews, prototyping, debugging, and coding when it will accelerate the team or unblock a critical path. • Build systems that allow AI products to persist, retrieve, and use personal and organizational context effectively. • Partner across Personalization, model, research, infrastructure, enterprise, and third-party integration teams to deliver cohesive end-to-end experiences. • Navigate ambiguity, make pragmatic tradeoffs, and turn emerging AI capabilities into a clear product and engineering plan. • Hire exceptional engineers and develop technical leaders who can scale the team’s impact. You might thrive in this role if you • Have experience managing and developing high-performing engineering teams while remaining technically hands-on. • Have a strong software engineering foundation and are comfortable contributing production code in a modern codebase. • Have built and shipped user-facing products with a high quality bar, ideally in fast-moving or zero-to-one environments. • Bring founder, startup, or early-stage product experience and know how to create momentum with limited structure. • Can reason about distributed systems, data persistence, retrieval, permissions, collaboration, and the product implications of AI-native architectures. • Communicate clearly across engineering, product, design, research, and executive stakeholders. • Balance long-term technical direction with near-term delivery and know when to simplify, prototype, or invest for scale. • Care deeply about building AI products that are useful, trustworthy, and intuitive for both individuals and organizations. 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. 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Enterprise Account Executive, Pharmaceuticals & Li...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive, Banking
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large banking organizations across Switzerland. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the Swiss market. Responsibilities: - Win new business and drive revenue for Anthropic within the banking sector across Switzerland. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across Swiss business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the Swiss enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Banking - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the Swiss market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in Switzerland and EMEA - Professional development and career growth opportunities Location: Zurich (hybrid working available) Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Scaled Enablement Programs Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's partners are often the first place an enterprise hears about Claude. The sellers and practitioners inside our cloud, system integrator, ISV and reseller partners are positioning Claude in thousands of conversations we will never be in, and how well they tell that story shapes how customers understand what Claude can do for them. Getting that many people ready, and keeping them ready as our products move, can't happen one partner at a time. We're looking for a Scaled Partner Enablement Programs Lead to build and run the programs that carry our go-to-market motions across the ecosystem. Some of these programs you'll build, including a partner train-the-trainer model and a repeatable way to take sales plays to market with partners. Others you'll inherit and make better, including our global partner webinar series and the enablement that prepares Anthropic's own field to sell alongside partners. All of them serve the same outcome, field readiness, meaning sellers on both sides of a deal understand Claude, can position it with confidence, and know how to win together. This role combines program leadership with program building. Your job is to make these programs repeatable and to build the operating rhythm that keeps them consistent across regions. You'll connect Product Marketing, Sales, Partner Programs, our partner-type enablement leads, and the Partner Training & Curriculum and Certification teams. Key responsibilities - Build Anthropic's partner train-the-trainer model, packaging our most effective training so partners can deliver it to their own teams and extend our reach beyond what our own team can deliver directly - Build a repeatable way to take focused GTM motions, such as sales plays and launches, to market with partners at scale, working with our partner-type enablement leads so each play reflects how that partner motion actually sells - Manage our global scaled partner webinar series and evolve it into the primary channel for launch, product and program messaging to the ecosystem, so partner sellers hear one clear, current story about Claude - Strengthen how we enable Anthropic's own field on partners, so our sellers understand the value partners bring, know how to co-sell, and show up alongside us to help these programs scale. This spans field training that lands each new motion, partner content in GTM onboarding, and a central, current home for partner resources - Run the portfolio as one system, with a shared operating model, content intake and calendar, production standards, and global delivery across regions, time zones and languages - Lead a team of contractors aligned to specific programs, and keep work coordinated across the many teams that contribute to them - Track field readiness and define metrics that measure program effectiveness beyond attendance You may be a good fit if you have - Built and scaled 1:many enablement programs for large partner sales and technical audiences at a technology company, across partner types such as SIs, cloud providers, ISVs or resellers - Enabled a large internal sales organization on new GTM motions, including how to co-sell with external partners - Taken sales plays or GTM motions to market through partners and measured their pipeline impact - Built or run a train-the-trainer model that let partners deliver training consistently without you in the room - Led programs through a team of contractors or vendors, delivering across multiple regions and languages - Comfort operating where products and messaging change constantly and the underlying operating systems are still being established - Experience using AI across your day-to-day workflows to extend your own scale and reach The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Safe Access
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 Claude reaches more people, including individuals, businesses, developers building on our APIs, and the platforms and resellers building on top of those, knowing who is on the other side of a request and what they are allowed to do becomes foundational to running our products responsibly. Creating a centralized identity, verification, and access system that every Claude surface draws on is important to accomplishing our mission. We are hiring a Product Manager to own the safe access. The primitives are the building blocks the rest of Anthropic uses to manage access to models and capabilities: access programs, accounts, organization linking, verifications, user APIs for platforms, and the internal tooling teams use. You will own the end-to-end product experience and strategy for internal and external access,, across every surface. This is a role for a strong executor with the ability to be agile in shipping in a 0-1 product space. Safe access is a new product that sits on the critical path of every model launch and every access program. Requirements arrive from many organizations at once, and most weeks you will be the person defining the problem rather than receiving it. Key responsibilities - Own the product strategy and roadmap for the account and access primitives, with the goal that any team at Anthropic can provision access or run an access program with minimal support. This is highly ambiguous and requires a lot of cross team coordination and deep understanding of the systems of today. - Own the end-to-end experience of getting and managing access for internal stakeholders (research, model launches, safeguards, go-to-market) and for external customers and partners, and keep it consistent across every surface. This requires thinking through many user types, with vastly different experiences. - Support the API designs and the UX of the access APIs that platforms, resellers, and internal services integrate with. Work through the designs with engineering and make calls on the primitives yourself. - Partner with the trusted access and verification product managers so that new programs compose from shared primitives rather than one-off builds. - Coordinate across the product, safeguards, legal, and go-to-market teams, and drive alignment when their requirements conflict. Minimum qualifications - Are a strong executor with a track record of shipping through ambiguity and cross-organization dependencies. - Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you are making. - Have owned a developer platform, identity, authorization, or access-management product end to end, and were the person accountable for its outcomes (for most people this means five or more years as a PM, but we care about the ownership, not the years). - Care about Anthropic's mission, and specifically about scaling access to Claude safely. Preferred qualifications - 8+ years of product management experience - Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top - Built account, identity, or subscription systems that span more than one product - Taken a product from zero to one, where the users, the product, and the requirements all had to be worked out at once The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Storage + Transfer
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 Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale. You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows. You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed. Key Responsibilities - Shape the technical strategy and architecture for Anthropic's storage layers - Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls - Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives - Translate user needs into scalable, achievable system designs and drive alignment - Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it - Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed - Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives - Plan and lead large migrations of critical workloads with user minimal disruption - Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call - Stay hands-on in code and production, including in the most critical and complex areas Minimum Qualifications - Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service. - Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations - Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on - Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java - Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency - Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployed Engineer (FDE), Financial Service...
About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will - Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows. - Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes. - Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance. - Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures. - Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (e.g., accuracy, latency, coverage, false positives) and use results to drive iteration. - Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes. - Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions. - Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases. You might thrive in this role if you - Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries. - Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences. - Have experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understand how incentives and controls shape adoption. - Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks. - Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes. - Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture. - Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns. - Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes. 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.
Applied AI Engineer, Quants
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer focused on quantitative investment and trading firms, you will partner directly with researchers, engineers and technical leaders to apply OpenAI’s models and Codex to their research and development workflows. You will combine an understanding of how quants work with hands-on technical skills, helping customers identify valuable opportunities, evaluate approaches and take successful experiments into production. You will work with both practitioners and senior leaders, connecting advances in AI to the problems that matter most to their firms. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. 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: - Work directly with quantitative investment and trading firms to identify opportunities across research, data analysis and software development, translating their needs into practical implementations, evaluations and measurable outcomes. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Lead technical workshops and hands-on sessions that help quantitative researchers and engineers apply OpenAI’s models and Codex effectively in their day-to-day work. - Bring the needs of quant customers into OpenAI’s product development, translating deployment experience, evaluations and feedback into clear requirements for Product, Research and Engineering. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You might thrive in this role if you: - Have worked in quantitative research, quantitative development or a closely related role, or can demonstrate an excellent understanding of how quantitative investment and trading teams operate. You understand their research processes, technical environments and expectations for rigorous evaluation. - Have practical, hands-on experience with LLMs, whether through tools such as Codex or through building AI applications. Deep experience deploying LLM systems is valuable, but strong quant expertise and the ability to learn quickly are the priorities. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable building and debugging research tools, data workflows or software systems. - Bring a rigorous approach to evaluating quantitative, statistical or machine-learning systems, and can apply that discipline to assessing AI outputs and workflows. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively and collaborate with humility. You are motivated to deepen your expertise in applied AI and help others adopt it successfully. 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.
Finance & Strategy Lead, Claude Platform (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 The Claude Platform (API) is how developers and enterprises build with Claude, directly and through our cloud partners. It runs on a consumption model, and the economics move quickly. New models and capabilities launch often, the cost to serve keeps changing, and customer usage can scale fast. How we price and package the platform shapes both our revenue and how efficiently we turn compute into value for customers. We're looking for a senior Finance & Strategy leader to own the financial strategy for the Claude Platform and to design the business models that come next. You'll sit on the Product Finance team and work closely with product, engineering, inference, and go-to-market leaders. You'll shape how we price and package the API, how we structure commitments and service tiers, and how we monetize new products and capabilities as they launch. You'll also work with infrastructure and inference teams so pricing reflects what it costs to serve and how capacity shapes what we sell. This is a finance role that sits very close to product. You'll be part of product decisions as they're made, bringing the financial model, the tradeoffs, and a clear recommendation. You know consumption-based and infrastructure businesses well, and you're comfortable owning complex pricing decisions alongside senior leaders. Key responsibilities - Own financial strategy for the Claude Platform (API), including pricing, packaging, discounting, and commercial terms across self-serve, enterprise, and cloud partner channels - Design and launch new business models for the platform and new products, such as capacity commitments, service tiers, and usage- or outcome-based pricing, from first framing through launch and post-launch review - Set pricing for new product features on the platform, working with product, engineering, and go-to-market teams to balance adoption, capacity, and margin - Partner with infrastructure and inference teams to understand how cost to serve is changing, and turn efficiency gains and capacity constraints into pricing and product decisions - Work closely with product leaders on roadmap priorities, launch sequencing, and business cases for new bets, bringing the financial view into product decisions - Bring recommendations on pricing, investments, and tradeoffs to executive leadership, with the analysis to support them - Define the metrics that show whether pricing and new business models are working, and build the dashboards and reviews to track them - Work with FP&A, accounting, deal desk, and revenue operations so pricing changes are forecast, billed, and reported correctly - Mentor members of the Product Finance team and help shape how the team analyzes and communicates pricing decisions Minimum qualifications - Experience in strategic finance, product finance, or a closely related field, including ownership of pricing or business model decisions - Hands-on experience with consumption-based or usage-based business models, including pricing, packaging, and forecasting for products where revenue scales with usage - Experience with infrastructure, cloud, or developer platform businesses, and a working understanding of how compute costs and capacity drive unit economics - A track record of designing and launching new pricing or business models, from analysis through go-to-market - Experience partnering closely with product teams and turning financial analysis into product and roadmap decisions - Advanced financial modeling skills in spreadsheets, and comfort pulling and analyzing your own data in SQL - Experience building the business case for major decisions and presenting recommendations to executive leadership - Clear written and verbal communication, including explaining financial tradeoffs to product, engineering, and research audiences - Sound judgment when data is incomplete, and comfort making a call and revisiting it as you learn more - Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications - 10+ years of experience across strategic finance, product finance, private equity, growth equity, venture capital, consulting, or investment banking - Experience pricing APIs, developer tools, or cloud infrastructure services such as compute, storage, or data platforms - Experience with enterprise commercial structures such as committed-spend agreements, volume discounts, reserved capacity, or tiered service levels - Experience selling through cloud marketplaces or partner channels, and managing the economics across first-party and third-party distribution - Familiarity with how large language models are served, including token-based pricing, inference cost drivers, and capacity planning - Experience monetizing a new product category without clear market benchmarks - Experience building a team, or leading and mentoring senior analysts - Background in AI, ML, or related technologies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Model Policy Manager, National Security
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: - Safety at every step - OpenAI GPT6 System Card - OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. This role is based in our San Francisco office. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. In this role, you will: - Develop model policies that guide safe and useful behavior. - Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. - Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: - Bring relevant experience in AI safety, policy, or risk assessment. - Have strong judgment and can turn complex safety questions into clear, practical policies. - Have the technical fluency to work hands-on with model data and evaluations. - Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. - Have an active TS/SCI clearance or equivalent. Security Requirements - Active TS/SCI clearance or equivalent is preferred but not required 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.
Model Policy Manager, Multimodal Safety
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: - Safety at every step - OpenAI GPT6 System Card - OpenAI Model Spec - GPT-Live - ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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: - Design and maintain model policies for audio, image, video, and omni-modal behavior. - Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. - Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. - Develop policy artifacts that support model training, evaluation, and deployment, including behavior instructions, human-data campaigns, golden sets, and evaluations. - Partner with AI researchers, domain experts, and product teams to operationalize policy into measurable model behavior. You might thrive in this role if you: - Have strong judgment about the real-world risks of advanced multimodal AI systems. - Possess experience turning ambiguous safety questions into clear data-driven policies, behavioral boundaries, and measurable evaluation criteria. - Treat policy as an end-to-end, measurable system by testing whether it produces the intended model behavior and diagnosing gaps across policy, data, graders, and safeguards. - Leverage strong technical judgement to design policies around model behavior that can realistically be trained, measured, and supervised at scale. - Demonstrate strong technical fluency and uses AI tools to accelerate policy development, evaluate model behavior, analyze failure patterns, and turn findings into actionable improvements. - Are comfortable working hands-on with model data and evaluation results, including inspecting examples, analyzing failure patterns, assessing data quality, and distinguishing policy failures from grader, model, or system failures. - Enjoy fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change. - Take a pragmatic, evidence-driven approach to reducing risk while preserving beneficial uses of AI. - Have hands-on experience driving consensus and action in ambiguous spaces. 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.
Customer Success Manager, Public Sector (National...
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 Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: - Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation - Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success - Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) - Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building - Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when - Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) - Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic - Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') - Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules - Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: - Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) - Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) - 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week - Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly - Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership - Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders - Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems - A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
SDET Contractor
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SDET Contractor We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems. The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient. Responsibilities - Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations. - Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing. - Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria. - Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle. - Integrate automated testing into CI/CD pipelines and establish effective quality gates. - Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality. - Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement. - Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness. What You'll Do - Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling. - Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior. - Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks. - Validate interactions between AI agents, APIs, tools, data sources, and downstream services. - Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing. - Validate API contracts, schemas, authentication, business rules, error handling, and service integrations. - Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues. - Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. - 4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline. - Strong experience testing REST APIs, backend services, microservices, or distributed systems. - Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language. - Experience with functional, integration, regression, contract, and end-to-end testing. - Experience integrating automated tests into CI/CD pipelines. - Strong analytical, debugging, and root-cause-analysis skills. - Experience working in an Agile development environment and collaborating across engineering teams. Required Skills - Strong understanding of software testing methodologies and Quality Engineering practices. - Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling. - Experience designing and maintaining automated test frameworks. - Experience with Git and CI/CD development workflows. - Ability to develop risk-based test strategies and identify appropriate testing layers. - Experience testing distributed systems and service-to-service integrations. - Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems. - Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions. Preferred Skills (Good to have) - Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management. - Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection. - Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies. - Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools. - Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger. - Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS. - Experience with performance, scalability, reliability, or resiliency testing. - Experience establishing QE metrics, quality gates, or cross-team testing standards. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $51.61 - $77.42 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Sales Manager, AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the AI GTM team at Stripe, you will leverage your sales leadership and product expertise to drive growth through new and existing strategic AI customers. Reporting to the Chief Revenue Officer of AI, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities - Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. - Lead and manage a team of Account Executives managing existing AI accounts (driving revenue expansion, product attach, and retention) and looking for new business opportunities. Establish strategic plans and objectives to drive growth across the AI GTM business line, guiding execution to KPIs. - Build and develop a high-performing team, fostering a strong culture of energized and engaged Stripes while investing in the growth and development of your team. Coach and guide the team in developing consultative and solution-based sales skills throughout the sales cycle. - Be accountable for driving revenue, increasing product attach rates, and growing existing clients at high rates. - Engage with Product, Marketing, and User Operations teams to influence our product roadmap (you are on the frontier!) and accelerate our growth trajectory for our AI industry users. - Serve as both an internal and customer-facing expert on Stripe's products, particularly as they apply to AI-native business models (usage-based billing, marketplace payments, embedded finance, agentic commerce). - Build strong relationships with customer executives (CEO, CFO, CTO) and serve as a trusted advisor on how Stripe can support their growth. - Create best practices and improve the business and customer engagement model. Who you are Sales leader. You are an adept sales leader, capable of engaging in business-level and technical conversations at multiple levels of the organization. You see value in competitive situations and enjoy working on products that require both deep product understanding and technical knowledge, especially for AI industry users. People developer. You are a strong people leader who builds high-performing teams through coaching, accountability, and culture. You're as comfortable working with clients as with internal stakeholders (including executives) and are excited to become an expert and share your knowledge. You possess an organized, self-starter mindset and excellent communication skills, with a track record for improving the processes and organizations around you. AI enthusiast. You have deep context in the AI industry and are energized by keeping up with new developments in the space. You bring a user-first mindset— you approach every customer interaction as a consultative partner rather than a transactional seller. Technically curious. You understand APIs, webhooks, and modern developer tools—and you can hold credible conversations with engineering leaders about how Stripe's infrastructure fits into their stack. Minimum requirements - 8+ years of sales leadership experience, launching and growing high-functioning sales teams/products. - 10+ years of experience in hyper-growth SaaS or technology environments across the AMER region. - Demonstrated success managing existing/growth customer portfolios and driving revenue expansion. - Proven ability to be a self-starter, capable of driving business results without significant supervision. - Ability to understand complex technical requirements and craft solutions across multiple stakeholders. - Deep understanding of AI industry dynamics, business models, and monetization strategies (usage-based pricing, API-first distribution, agentic commerce). - Strong product acumen—ability to learn and articulate complex product capabilities, understand how they work technically, and connect them to user needs. - Excellent verbal and written communication skills, including strong presentation skills for in-person meetings with multiple stakeholders. - An enthusiastic "roll up your sleeves" mentality. - Proven ability to lead complex negotiations involving bespoke agreements with commercial and enterprise businesses. Preferred qualifications - Industry experience in payments, financial infrastructure, developer tools, or AI/ML platforms. - Existing relationships within the AI ecosystem (AI labs, AI-native SaaS companies, developer platforms). - Experience selling complex platform solutions involving multiple products. - Prior experience at a growth-stage software company or a leading payments/fintech company. - Familiarity with Stripe's product suite and how AI companies leverage financial infrastructure to scale.
Manager, AI Platform Engineering
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. Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions. Responsibilities - Own the AI platform roadmap and delivery end to end - Ensure platform AI is measurable and dependable - Work together with product and solution teams to address real customer challenges - Enable teams to build on the platform and own their deliverables - Hire, mentor, and grow the platform ai engineering team - Stay actively involved and contribute to architecture and full-stack production code Requirements - 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure - 2+ years of engineering management experience - Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience - Experience operating AI systems in production - Deep, current command of AI and modern LLM/GenAI infrastructure Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.! For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. NY Annual Base Salary Range $200,000 - $250,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
IT Support Specialist
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE We are seeking a proactive, customer-focused IT Support Specialist based in South Korea to anchor our regional IT operations across the APAC time zone. In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. Key Responsibilities - Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. - Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. - Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. - Manage end-to-end employee onboarding and offboarding workflows, ensuring zero-day access provisioning, hardware readiness, and secure offboarding compliance. - Build and maintain support procedures and employee-facing knowledge base articles so common issues are handled consistently. - Partner with business units as a go-to support contact and communicate clearly, in writing and in person, across the organization. - Support new-hire onboarding and offboarding, including device setup, access requests, and day-one readiness. - Track hardware inventory and coordinate on device replacements and repairs. - Assist with password resets, MFA, email, and common productivity-tool issues so employees can get back to work quickly. - Provide hands-on support for printers, peripherals, and meeting-room technology when on-site help is needed - Stay eager to learn, take on special projects, and grow into broader IT support responsibilities. Qualifications - Professional proficiency in English, and Japanese or Korean. - 5+ years of experience in help desk, internal IT support, or a similar technical support role. Experience in a fast-paced or global team is a plus. - Strong experience with supporting user accounts, password resets, MFA, and SSO, specifically with Okta and Google Workspace. - Experience with Mobile Device Management (MDM) platforms such as Iru (macOS) and Microsoft Intune (Windows). - Basic understanding of networking fundamentals (TCP/IP, DNS, Wi-Fi, and VPN), with familiarity supporting UniFi/Ubiquiti equipment a plus. - Comfort supporting employees in Slack and other everyday collaboration tools such as Microsoft Office 365 (channels, apps, notifications, and common access issues). - Strong written and spoken English, with the ability to explain technical issues clearly to both technical and non-technical colleagues across international teams. - A patient, helpful, solutions-oriented approach to supporting internal staff, with a commitment to follow-through and a positive experience for every request. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Business Operations Lead
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! The Strategy & Business Operations team’s mission is to support decision making on critical C-level topics and act as a force-multiplier for functional priorities across the organization. We are looking for a BizOps Lead to join the team, reporting to the Head of BizOps, focused on strategy, corporate development, and cross-functional projects. In this intermediate level individual contributor role, you may: - Influence strategic decision-making by collaborating with and building consensus among leaders across the organization, including product, GTM, and research and engineering - Optimize pricing and packaging, ensuring that the company's offerings are both attractive to customers and profitable - Build financial models and analyses to evaluate new and existing opportunities - Contribute to corporate development activities: fundraising, strategic partnerships, investor relations, M&A, etc. - Conduct market and competitive analysis to anticipate and respond to emerging trends and to identify new opportunities for innovation and growth This role is a good match if you: - Have 3-4 years of top tier investment banking / investing experience, ideally with a focus on software, technology, or digital infrastructure - OR Have 2-3 years of top tier consulting experience, ideally with a focus on software / technology; further experience in BizOps, product, or investing is also valued - Have some technical background (e.g., CS, EE, Applied Math, or related undergraduate degree, software engineering internships) - Are a clear communicator with a high-ownership mentality and bias to action - Are a problem solver: can operate at a level 4-5 on this hierarchy Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Solution Operations Manager, Strategic Accounts
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Mistral AI partners with the leaders of their industries to redefine how their most complex, high-stakes challenges are solved with frontier AI. As a Solutions Operations Manager for our strategic accounts, you act as the chief of staff to the account leadership: you sit at the heart of the transformation, working with the client's leadership and with Mistral's best deployment strategists, forward-deployed engineers and applied scientists. You keep every account running like clockwork and run point on operations to maximize the impact of Mistral's resources. This is a hands-on role for someone who blends consulting-grade strategic thinking with the pragmatism of an operator, who embeds in their accounts and owns the outcome, and who brings AI into the day-to-day of the account. WHAT YOU'LL DO As the operational backbone of the account, you will act as the Chief of Staff to the Program Lead, to ensure Mistral sets the high standard for execution, speed, and collaboration with the client. Your role blends strategic governance, hands-on project management, operational innovation, and internal automation to keep initiatives on track and stakeholders aligned. GOVERNANCE & STRATEGIC ALIGNMENT - Ensure the Program Lead’s vision is clearly articulated and adopted by both Mistral’s account team and the client - Drive alignment between client stakeholders and Mistral teams to ensure shared priorities and high-quality delivery standards - Facilitate data-driven decision-making for leadership through weekly cadences, steering committee prep, and risk dashboards. STRATEGIC SCOPING & VALUE DEFINITION - Develop a deep understanding of the client’s business, operating model, and strategic priorities - Partner with the Program Lead and Account team to scope transformative programs, identify and define use cases, and build a clear business case and value framework - Translate strategic ambition into measurable outcomes and track the long-term business impact of each program DELIVERY & EXECUTION - Own delivery frameworks: timelines, milestones, reporting, proactively securing commitments and flagging risks or delays early. - Optimize delivery processes by identifying friction points and standardizing workflows to enhance quality and predictability. OPERATIONAL INNOVATION & AUTOMATION - Build and enhance Mistral’s platform and internal tools to empower program delivery with scalable, tailored solutions - Automate workflows to eliminate manual friction in planning, reporting, and follow-ups, accelerating execution and reducing operational overhead WHO YOU ARE - Strategic operator. You bring 3–5 years of experience in top-tier strategy consulting or as a Chief of Staff in top startup/scale-up, with the structured thinking, adaptability, and clear communication that comes with it. - AI-fluent. You genuinely use AI tools to automate your own work: drafting, analysis, reporting, PMO tasks. You're comfortable building and iterating on automations, not just prompting a chatbot. - High agency. You don't wait to be told what to do. You see the gap, you close it, and you raise the standard as you go. - Customer-centric. You can hold a room with senior enterprise stakeholders and translate between business strategy and technical delivery. - Meticulous and reliable. Ownership to the last detail; nothing falls through the cracks on your watch. - Adaptable. Comfortable operating in ambiguity and a fast-moving environment; bias to action over process for its own sake. NICE TO HAVE - Experience in enterprise software, AI, or deep-tech delivery environments. - Exposure to change management / adoption at scale within large organizations. - Hands-on experience automating workflows with LLMs or building internal tooling. PRACTICAL DETAILS - Location: Paris, with travel expected ~30% of your time to customer sites (Europe) - Team: Solutions Org, reporting into the Solutions leadership. - Scope: One or several strategic accounts. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Product Manager, Context
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Product Manager on the Context team, you will define and build the foundation for how AI agents access, interact with, and leverage context, data, tools, platforms, and environments, to deliver powerful, scalable solutions. This role exists to bridge the gap between cutting-edge AI capabilities and real-world usability, ensuring our agents are both capable and seamlessly integrated into Mistral’s broader product ecosystem. You’ll work at the intersection of engineering, research, design, and business, aligning stakeholders around a shared vision while driving execution from concept to launch. The impact of your work will shape how users and enterprises interact with AI, unlocking new possibilities for automation, intelligence, and efficiency. What You Will Do - Define and evangelize a clear product strategy for our Context & Search platform, aligning it with company goals and market opportunities. - Lead market and UX research to identify unmet needs, competitive gaps, and emerging trends in enterprise AI. - Own the end-to-end product lifecycle, from ideation to launch, balancing speed, quality, and user-centric design. - Collaborate with design and research teams to create intuitive, high-impact user experiences, iteratively refined by data and feedback. - Drive go-to-market efforts, including pricing, positioning, and adoption strategies, in partnership with marketing and sales. - Align engineering, design, and business teams around priorities, trade-offs, and timelines to ensure seamless execution. - Maintain a dynamic roadmap that delivers quick wins while advancing long-term strategic bets. What We're Looking For - 5+ years of hands-on Product Management experience, preferably with a focus on Agentic AI, Context Engineering, Data platforms, MCP/Connectors, Search, Ontology and semantic layers in B2B/Enterprise environments. - Strong technical fluency to navigate trade-offs and collaborate effectively with engineering teams. - A relentless focus on solving real user problems, backed by data and qualitative insights. - Proven ability to align and inspire cross-functional teams—engineering, design, and go-to-market—without direct authority. - Exceptional communication skills, with the ability to craft compelling narratives for executives, teams, and users. - Adaptability to thrive in dynamic environments where priorities shift rapidly. - Low ego, high EQ, and a collaborative mindset to build trust and drive decisions through clarity. - A builder’s mindset, with experience turning 0→1 ideas into products users love, and the autonomy to own outcomes end-to-end. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Senior Sales Manager, Cloud Service Providers
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is redefining the economics of AI inference. Our SN50L-based systems deliver industry-leading inference performance, and we deploy them where it matters most — inside the data centers of neoclouds and cloud service providers building the next generation of AI capacity. Increasingly, that means heterogeneous, disaggregated inference: SambaNova RDUs running alongside GPU estates, each serving the stage of the inference pipeline it does best. Cloud service providers are our most strategic segment, and we are hiring an Account Director to lead it in the Americas. Reporting directly to the VP of Americas, you will own the number and the account strategy for this market — expanding an active book of business while opening the next generation of accounts. This is a seat for a seller who knocks down doors, builds pipeline, and runs complex infrastructure pursuits from first outreach to a founder or CTO through negotiated multi-rack, multi-year capacity commitments. Deal cycles run in quarters, contract values run large, and the wins go to whoever best understands the customer's business. What you'll be doing - Own a CSP number for the Americas. Carry the quota, drive account tiering across neoclouds, GPU clouds, and service providers, and decide where we invest pursuit resources. - Expand the territory aggressively. Grow existing accounts and prospect directly into founders, CTOs, and heads of infrastructure at capacity providers. Meetings in this segment are created, not inherited. - Run pursuits end to end. Qualify with discipline, map the economic buyer and technical champion, build the win plan, and drive deals through technical validation to commercial close. - Sell the customer's P&L, not our spec sheet. Neoclouds buy margin, not racks. Position SambaNova capacity in terms of utilization, cost-per-token, and inference-as-revenue — how our systems expand the economics of their business. - Structure deals that fit how capacity providers buy. Committed-capacity constructs, phased deployments, expansion paths — shaped with Finance and defended in front of the customer's CFO as credibly as their CTO. - Lead the pursuit team. Partner with a dedicated Senior Solutions Architect on technical strategy and validation, and deploy SambaNova executives into deals deliberately, not reactively. - Sharpen the playbook. Refine the CSP go-to-market — positioning, deal constructs, competitive posture — as the senior seller in the segment. - Forecast like an operator. Own pipeline integrity and forecast accuracy, and deliver structured market and competitive intelligence back to the VP and product leadership. What we need to see - 8+ years of quota-carrying infrastructure sales — cloud, data center systems, semiconductors, or AI platforms — with a verifiable record of exceeding number on large, complex deals. - Proven new-business DNA: self-sourced pipeline, marquee logos you personally opened, and territories you grew materially. - Command of long-cycle, capital-scale deals (6–18 months), navigating technical leaders, procurement, finance, and executive sponsors in parallel. - Fluency in the economics of AI capacity: GPU cluster costs, utilization math, inference workloads, and the pressures CSPs face turning compute into margin. - Established understanding of the neocloud/CSP landscape — who is building, who is buying, and how their procurement actually moves. - Executive presence: you sell to founders and CTOs as a peer and represent SambaNova with leadership in the room. Ways to stand out from the crowd - Existing relationships with neocloud, GPU cloud, or CSP leadership across the Americas. - Experience selling accelerated compute, rack-scale systems, or committed-capacity structures. - Experience selling within or against the NVIDIA ecosystem and its partner motions. - Track record of taking over a strategic territory and materially accelerating it. Base Salary Range: Base Pay Range $157,500 - $192,500 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Software Engineer, Security
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: - Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure - Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption - Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity - Tool Integration: Pulling in new tools to enhance North's security capabilities - DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC - Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner You may be a good fit if: - Have 5+ years building user-facing security features in production systems - Ship production Python confidently and frequently - Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually - Have hands-on experience with Kubernetes in both development and production environments - Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments - Are comfortable working across the stack - Communicate security concepts clearly to non-security engineers and stakeholders - Thrive in fast-moving environments where priorities evolve - Experience working with AI/ML systems or LLM-based applications FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
AI Deployment Manager - Singapore
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We’re hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. As an AI Deployment Manager, you’ll drive adoption, deliver measurable business value, and help shape how AI transforms engineering teams. You’ll act as the connective tissue between customer stakeholders and our internal teams, influencing both the Grok roadmap and each customer’s implementation strategy. This role is highly cross‑functional and customer‑facing. You understand software development workflows, care deeply about developer tools, and love helping engineering organizations succeed at scale. What you'll do - Build and grow deep relationships with engineering leaders and power users at key accounts - Partner with Field Engineering and Sales to deliver a seamless post‑sale experience - Drive adoption of Grok by aligning usage with business objectives and engineering goals - Guide customers on best practices for rollout, prompt strategy, context configuration, and internal enablement - Serve as the customer’s voice internally and influence roadmap priorities - Provide strategic account planning and regular business reviews with VP‑ and CTO‑level stakeholders - Monitor account health, usage patterns, and product engagement to drive renewals and expansion You may be a fit if - You have strong communication skills and executive presence, and are comfortable whiteboarding with developers and pivoting to value with a CTO - You have a deep understanding of the software development lifecycle and engineering org structures - You are fluent in technical workflows, AI tooling, and developer productivity (even if you haven’t been a full‑time engineer) - You are customer‑obsessed with a knack for strategic thinking and problem‑solving - You thrive in a startup environment: scrappy, proactive, and adaptable - You have experience in TAM, Solutions Architecture, Customer Success, or Consulting for enterprise software About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Solutions Architect - Public Sector
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Public Sector business and have a great deal of autonomy when it comes to technical pre-sales and post-sales. In order to qualify for this exciting career opportunity, you must have a Security Clearance. Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. A typical day at Cohere might include: - Leading the technical talk track on customer calls. - Deep dives on customer problems and Cohere technology. - Designing novel enterprise solutions with bleeding-edge NLP technology. - Facilitating customer evaluations and PoC’s. - Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere. - Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs. - Working closely with our partners to develop a strategy for enabling and accelerating their customers. This career opportunity is a good match for you if you have: - Must have: Security Clearance - 5+ years of public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience. - 2+ years architecting or deploying NLP/AI/LLM Solutions. - A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies. - Comfortable working with Python and Jupyter Notebooks. - Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences. - High tolerance for ambiguity. - You can identify and implement high-impact processes in unstructured environments. - Preferred: Experience managing Kubernetes clusters - Preferred: Experience with networking (firewalls, DNS, cert management, etc) - Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc) Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Applied AI Architect, Partnerships
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Software Engineer, AI Security
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Senior Software Engineer on the AI Security team, you’ll help build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities - Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows - Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls - Build and operate reliable, large-scale distributed systems that support AI-powered security use cases - Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents - Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities - Identify opportunities to improve platform performance, developer experience, reliability, and security through automation - Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow What you bring - 5+ years of software development experience - 3+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption - Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents - Proficiency in Go or Python, with strong problem-solving and production debugging skills - Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka - Strong understanding of security fundamentals and experience incorporating security into the design of production systems - Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling - Proven experience delivering large engineering projects with meaningful, long-term impact - Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience - Ability to solve complex engineering problems and collaborate effectively across security and engineering teams What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 - $230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $172,000 - $202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 - $179,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Program Manager, Foundation AI
Program Manager, Foundation AI at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Program Management, Data Science, Project Planning, Agile Methodology, Risk Management, Stakeholder Management, JIRA. Locations: Boston, MA, USA. Work mode: on site.
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