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Commercial Counsel, Platform & Marketplace

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Commercial Counsel for Platform & Marketplace at Anthropic, you'll support scaling up go-to-market motions and platforms like the Claude Marketplace, which lets enterprise customers discover, buy, and pay for third-party applications. You'll be the trusted legal partner to Business Development teams within Anthropic’s Partnerships & Alliances org, shaping how we collaborate with sellers and customers on existing and future platforms. You’ll not only focus on how we interact with our own resale channels but also on how we participate in third-party marketplaces. We'll count on you to own, negotiate, and continuously improve the core contracting vehicles for these go-to-market programs, as well as supporting terms that sit between sellers and buyers. Key responsibilities - Own end-to-end legal strategy and execution for certain partnership ecosystems and contracting programs - Serve as one of the legal partners to our Partnerships & Alliances business team, functioning as a strategic advisor embedded in partnership planning - Independently lead complex, multi-party negotiations involving technical integrations, revenue-sharing arrangements, joint go-to-market strategies, and strategic commitments that may implicate other Anthropic business relationships - Architect scalable partnership frameworks, templates, and programs that enable the broader organization to execute deals efficiently while maintaining appropriate risk controls - Provide strategic counsel on partnership structures that balances legal risk management with aggressive growth objectives - Coordinate cross-functionally with Compute, Strategic Pursuits, Finance, and GTM teams on deals where partnership terms interact with other commercial relationships and commitments Minimum qualifications - JD and active membership in at least one U.S. state bar (California preferred) - Demonstrated track record of independently leading complex, multi-stakeholder negotiations with major technology companies that resulted in successful partnership launches, including situations where Anthropic's interests must be balanced against partners and end customers simultaneously - Experience serving as the go-to legal partner for a partnerships or business development organization; the attorney that business leaders actively want in strategy sessions - Deep understanding of partnership economics: how deal registration works, why revenue attribution matters to partners, how to structure incentives that align interests, and what motivates a partner to prioritize one vendor over another - Superior judgment in risk assessment and strategic tradeoffs, with the confidence to recommend which partnerships to pursue, which terms are worth fighting for, and when to walk away - Outstanding communication skills with executive presence;

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Policy Counsel, EMEA

Negotiable

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

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Trust & Safety Operations Analyst, Ads

$252,000 – $280,000

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll flex across the team’s highest-priority data and operational needs—from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation —while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams. This role sits at the intersection of strategy, execution, and data: you’ll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism. As OpenAI introduces new revenue-generating formats and partnerships, you’ll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You’ll bring structure to ambiguity and ensure Ads Trust & Safety decisions are grounded in reliable data while balancing user safety, advertiser experience, and business growth. In this role, you will: - Own complex, high-impact Ads Trust & Safety data and operational problem areas from scoping through execution. - Improve recurring reporting and dashboards by defining meaningful metrics, surfacing trends and gaps, and translating insights into operational decisions. - Lead budget and capacity planning by connecting demand, review volumes, service levels, quality, and risk signals to staffing and operating plans. - Conduct project-based analyses across advertiser risk, enforcement performance, review quality, product launches, and operational health; turn findings into clear recommendations and next steps. - Partner closely with Data Science and Data Engineering teams to define goals, metric logic, data requirements, source-of-truth decisions, and QA data strategy. - Design and maintain practical data-quality and measurement mechanisms, including sampling, validation, discrepancy investigation, quality dashboards, and feedback loops. - Build and improve automations, AI-assisted workflows, and decision-support tools that reduce manual work and help Ads Trust & Safety and Ads Support scale. - Drive operational readiness for new Ads and monetization launches, features, and markets by sizing impact, identifying risks early, and defining monitoring plans. - Act as a senior cross-functional partner and subject-matter expert, communicating data-driven tradeoffs, priorities, and recommendations with strong judgment and credibility. You might thrive in this role if you: - 8+ years of experience in Trust & Safety, Business Integrity, technical operations, data analytics, or a closely related domain. - Strong SQL skills and comfort working with unfamiliar, complex datasets, reconciling source-of-truth questions, and resolving data-quality issues. - Experience building and owning dashboards, recurring reporting, monitoring, or operational measurement systems from scoping through adoption and maintenance. - Experience using data for budget, capacity, or workforce planning, including translating demand, quality, and service-level signals into practical operating plans. - Proven ability to independently own ambiguous, cross-functional initiatives and turn analysis into decisions, workflows, or scalable systems. - In-depth experience leveraging AI models or agent-based tooling in operational workflows, or other lightweight technical development where useful. - Excellent written and verbal communication skills, including the ability to explain complex analyses, data limitations, risk tradeoffs, and recommendations to diverse audiences. - Strong judgment around quality, safeguards, responsible deployment, and the appropriate use of data in high-stakes operational decisions. - Bonus: Familiarity with ads and advertiser ecosystems and the operational signals that shape review, enforcement, and support decisions. 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.

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[2026] Senior Machine Learning Engineer (Systems),...

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Team - Creator Services Machine Intelligence Team : The Machine Intelligence team is building an NPC system that can (1) play any Roblox game and (2) perform real-time inference efficiently enough to support deployment to all Roblox players. - ML Platform Team : The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems. What You Will Do As a Senior Machine Learning Engineer, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. Creator Services Machine Intelligence Team - Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform. - Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures. - Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments. ML Platform Team Track 1: AI Platform Projects - Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. - Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. Track 2: Distributed Inference & Systems Optimization - Architect and implement scalable distributed inference systems for efficiently serving

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Research Engineer, Visual Knowledge Work

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities. What you'll do: - Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments - Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design - Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale - Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations - Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction You may be a good fit if you: - Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects - Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models - Are familiar with the architecture, training, and operation of large vision language models - Are comfortable managing technical vendor relationships and iterating quickly on feedback - Are results-oriented, with a bias towards flexibility and impact - Care about the societal impacts of your work Strong candidates may also have experience with: - Designing evals or benchmarks for LLMs or vision language models - Large-scale pretraining, SL, and RL on language models - Deep learning research on images, video, or other modalities - Developing complex agentic systems using LLMs - Large-scale ETL and data pipeline development Representative projects: - Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design - Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset - Finetuning Claude to maximize its performance using a particular set of agent tools/skills The annual compensation range for this role is listed below. <p&gt

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Senior Payroll Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You'll own US and Canada payroll operations end-to-end — hands-on in Workday, close to the details — while also managing and developing 1–2 direct reports on the US team. You'll report directly to the Head of Global Payroll and be a key leader in making sure North American payroll keeps pace with Anthropic's growth. Strategic importance: You'll be a key contributor to our compliance initiative — our framework for managing payroll tax obligations across US & Canada. You'll also be part of the team driving AI adoption within payroll: we're actively building out how AI tools can improve reconciliation accuracy, error detection, and reporting workflows. This isn't a future initiative — it's happening now. Responsibilities US Payroll Operations - Own full-cycle payroll processing for all US entities — multi-state, multi-frequency, exempt and non-exempt populations - Process complex equity compensation including RSUs, ISOs, and NSOs, ensuring accurate tax withholding and timely reporting - Manage high-volume payments: bonuses, commissions, severance, and equity events - Oversee quarter-end, W-2 preparation, year-end reconciliations, and resolution of federal and state tax notices - Maintain and continuously improve Workday payroll configuration — identify automation opportunities and lead optimization initiatives Canada Payroll Management - Oversee Canada payroll operations in partnership with our PwC Global Payroll Platform, developing expertise in CRA compliance, T4s, Records of Employment, and multi-province processing - Partner with our international payroll team to ensure Canada stays integrated into our global compliance posture - Build out Canada payroll SOPs as the function matures Team Leadership & Development - Manage and develop 1–2 direct reports on the US payroll team — set clear expectations, provide regular feedback, and invest in their growth - Build a team culture of accuracy, accountability, and continuous improvement - Serve as the escalation point for complex payroll issues and employee inquiries Cross-Functional Partnership & Compliance - Partner with Corporate Accounting on payroll journal entries, accruals, and month-end close - Work closely with Tax, Benefits, People Systems, and Employment Legal to ensure data integrity and compliance - Support audit readiness and internal & systems controls AI Adoption & Process Improvement - Champion the use of AI tools within the payroll function — identify high-value use cases for reconciliation, anomaly detection, and reporting - Lead or support process improvement projects that reduce manual effort, increase accuracy, and improve the employee payroll experience - Document processe

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Data Scientist

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions - Build models and analytical frameworks to support product, marketing, platform, or finance initiatives - Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously - Own complex data projects end-to-end—from problem scoping to solution delivery - Champion data quality, accessibility, and the democratization of data across the organization - Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: - 4+ years of experience in Analytics, Data Science, or a related field - Fluency in SQL and proficiency in a scripting language like Python or R - Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark) - Strong foundation in statistical methods, experimentation, and/or forecasting - A track record of working cross-functionally and communicating effectively with both technical and non-technical partners - Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams While it’s not required, it’s an added plus if you also have: - A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. <span styl

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Data Center OFE Strategic Sourcing Lead (Mechanica...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic's Data Center mechanical Owner Furnished Equipment (OFE) footprint. In this role, you will own end-to-end sourcing strategies for critical mechanical cooling infrastructure such as air-cooled and water-cooled chillers, CDUs, fan coil modules, rear door heat exchangers, and HAC units. You will partner closely with engineering, demand planning, construction, and third parties to drive equipment availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center cooling and mechanical equipment, you will play a critical role in helping Anthropic to achieve its ambitious scaling goals. Key responsibilities - Drive commercial negotiations and Master Purchase Agreements for critical mechanical infrastructure such as air-cooled chillers, water-cooled chillers, cooling towers, CDUs, fan coil modules (FCMs), rear door heat exchangers (RDHX), HAC units, CRAHs/CRACs, dry coolers, and pumps. - Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets. - Implement frameworks for ensuring third-party data center partners and general contractors adhere to commercial equipment terms and technical specifications. - Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability. - Proactively monitor global supply chain volatility (e.g., lead times for chillers, CDUs, and air handling equipment) and execute contingency plans to avoid critical project delays. - Translate construction and capacity roadmaps into equipment forecasts and procurement pipelines. - Partner with Finance to optimize inventory and capital deployment strategy. - Establish efficient return, repair, and replacement workflows with OEMs to restore failed equipment quickly. - Negotiate warranty, startup/commissioning support, and spare parts terms, and track vendor performance. Minimum qualifications - Have 7+ years experience in supply chain management, sourcing, and procurement. - Have a track record of developing processes for forecasting, planning, and managing data center mechanical equipment for build-out and/or operations. - Are familiar with data center mechanical and cooling equipment (e.g., air-cooled and water-cooled chillers, cooling towers, CRAHs/CRACs, fan coil modules, rear door heat exchangers, HACs, CDUs, dry coolers, pumps). - Possess a bachelor's degree in a relevant domain (e.g., mechanical engineering, construction management, supply chain) or equivalent practical experience. Preferred qualifications - 10+ years experience in supply chain management, sourcing, and procurement. - 5+ years experience in data center or critical environment infrastructure. - Experience working with general contractors, MEP integrators, OE

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Staff Machine Learning Systems Engineer

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. - Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more - Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration - Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment - Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more - Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: - 8+ years of experience in ML infrastructure, including model training and model deployments - Hands-on experience with ML optimization, including memory and GPU profiling - Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more - Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb) - Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc. - Deep experience working with distributed training frameworks, including Ray and Kubernetes - Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. - Strong organizational & communication skills - Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus</li&

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Enterprise Customer Success Manager

Negotiable

We are looking for an experienced Enterprise Customer Success Manager to join our Enterprise team. In this crucial role, you’ll be responsible for executing onboarding and adoption strategies through key client ownership across our Enterprise clientele. The ideal candidate will have a proven track record in tech of driving enterprise-level engagement, retention, and growth. You will work closely with other members of the Enterprise team, making strong communication and collaboration skills vital. A core sense of conviction and a “can-do” attitude are prerequisites. Your success will play a crucial part in expanding Perplexity's market presence and contributing to the company's overall success. RESPONSIBILITIES - Execute the Enterprise customer success strategy developed by leadership - Serve as a primary point of contact for key enterprise clients - Drive initial enablement through high quality onboarding and training - Identify and support opportunities for growth and client expansion - Manage retention, working with clients to quantify value delivered - Advocate for client needs, and collaborate with cross-functional teams to drive product development - Monitor and report on established key performance indicators, analyze data to identify trends REQUIREMENTS - 5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients - Proven track record of driving enterprise-level satisfaction, growth, and retention - Excellent communication and presentation skills, with the ability to engage C-level executives - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives. - Ability to work under pressure, thriving in demanding environments - Ability to work independently and as part of a collaborative team - Proficiency in CRM systems and customer success tool WHY PERPLEXITY? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.

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Global Real Estate Construction Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Global Workplace & Real Estate team is delivering a rapidly expanding global portfolio — including full-building offices at the scale of ~450,000 SF that combine commercial kitchens, executive briefing centers and event space, high-end amenities, and the elevated power, cooling, and security infrastructure our work requires. We're hiring a Real Estate Construction Manager to lead the technical delivery of these projects from pre-construction through closeout and to serve as our primary technical counterpart to general contractors, design teams, and specialty vendors. This is a hands-on construction leadership role, not a design role. You will own how our projects get built: delivery method and contracting strategy, GC selection and oversight, MEP and specialty-systems coordination, cost and schedule control, and commissioning. Executing the design direction is set by the Global Head of Real Estate & Workplace and our architects. You will also lead and develop a team of project managers delivering across the global portfolio. This role reports to the Global Head of Real Estate & Workplace. Key responsibilities Pre-construction & technical delivery - Lead pre-construction on complex buildouts: constructibility and design/drawing reviews, MEP and structural coordination, estimating support, value engineering, and development of the GMP or bid package. - Recommend and own the delivery method and contracting strategy for each project (e.g., GMP, lump sum, CM-at-risk, design-assist), matching the approach to scope, schedule, and risk. - Read and interpret architectural, structural, and MEP drawings and specifications; surface gaps, conflicts, and risk before they reach the field. - Coordinate technically demanding scopes — commercial kitchens (Type I hoods, make-up air, grease and UL300 fire-suppression systems, utility upsizing), high-performance AV and acoustics for executive and event spaces, server/IDF rooms with redundant power and supplemental cooling, elevated power density, and integrated physical security. - Manage permitting and inspections with authorities having jurisdiction across multiple markets and labor environments. Construction execution, quality & closeout - Oversee construction from mobilization through closeout across multiple concurrent projects, holding general contractors accountable to schedule, budget, safety, and quality. - Run the technical processes that keep a job on track: RFIs, submittals and shop drawings, ASIs, and BIM/clash coordination across trades; lead owner-architect-contractor and trade-coordination meetings. - Conduct site visits to monitor progress, safety, and quality control; enforce inspection protocols and punch-list management. - Drive commissioning and closeout — systems commissioning (including kitchen exhaust/MUA balancing, BM

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Strategic Finance Lead - Core

Negotiable

PERPLEXITY IS LOOKING FOR A DYNAMIC AND ANALYTICAL INDIVIDUAL TO JOIN OUR STRATEGIC FINANCE TEAM TO HELP OWN OUR CORE FINANCIAL MODELS AND ANALYSIS, DEVELOP PLANNING PROCESSES, AND BE THE GO-TO EXPERT ON ALL THINGS RELATED TO OUR FINANCIAL AND OPERATIONAL PROJECTIONS. ABOUT THE OPPORTUNITY: This role will have a variety of responsibilities but we’re seeking a sharp, creative individual to join our Strategic Finance team to own the core financial responsibilities. You’ll work closely with the business, finance, product, and engineering teams to help ensure our corporate financial models accurately reflect the state of the business and goals. The ideal candidate combines strong financial rigor with intellectual curiosity about AI technology, bias for action, and creativity in problem solving. RESPONSIBILITIES: - Develop and own core financial models used for strategic planning and decision-making, including aggregating projections and feedback across all major teams in the organization - Develop and maintain analysis and projections related to various aspects of the business, ranging from headcount planning, growth, infrastructure costs, and more - Lead various special projects required by C-suite and VPs related to corporate finance and accounting - Help develop and build scalable processes and well-defined metrics that are used by leadership and key teams to determine the state of the business - Independently identify areas within the organization that need analytical support and use analysis to drive clarity in critical decision-making WHAT YOU’LL BRING: - At least 4+ years of strategic finance / FP&A role at another growth-stage startup - At least 2 years of banking experience at a top-tier firm - Experience in building financial analysis and planning and implementing various processes to improve visibility across spend, budgeting, and procurement - Strong financial acumen and ability to work cross-functionally across various engineering, product, growth, and operations teams - Ability to take ownership and execute on ambiguous tasks with first principles mindset - Comfortable working in a fast-paced, dynamic environment

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Program Manager, Human Data

$207,000 – $230,000

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: - Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world - Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data - Gather requirements, write instructions, define success criteria, and calibrate the AI trainers - Use internal tooling to assess labeled data and provide feedback to AI trainers - Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience You’ll thrive in this role if: - You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat. - You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission. - You have a can-do attitude. You don’t shy away from rolling up your sleeves and tackling the "grunt work" with the same enthusiasm as high-visibility tasks. - You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships. - You are resilient and flexible. Setbacks don’t rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset. - You’re super organized amidst chaos . Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity. - You enjoy operational work . While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively. - You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes. - You’re energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you’ll feel right at home. - You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills. 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.

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Senior Business Systems Analyst, Finance Systems

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation. In this role, you will - ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations. - Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements - Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment - Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions - Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R) - Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations - Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation. You may be a good fit if you - Have 8+

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Mobile Growth Manager

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Mobile Growth Manager to own and scale our app acquisition and growth channels. This role will be hands-on in building, testing, and optimizing campaigns across mobile platforms—working cross-functionally with creative, product, lifecycle marketing, and data science. You’ll have the opportunity to drive measurable growth across installs, activation, and revenue, while connecting paid acquisition to the full app experience. We are already investing in mobile growth and want to scale this significantly with a more data-driven, experimentation-first approach. What you’ll do - Develop and execute mobile growth strategies across key acquisition channels (Meta, TikTok, Apple Search Ads, Google App Campaigns, and emerging platforms) - Own campaign planning, budget allocation, optimization, and performance tracking end-to-end - Partner closely with creative teams to develop high-performing, platform-native ad creative (static, video, UGC) - Design and run experiments to improve install rate, activation, retention, and monetization - Work with product and lifecycle teams to optimize onboarding, conversion flows, and downstream engagement - Build and leverage attribution frameworks (SKAN, MMPs) to measure true performance and guide decision-making - Analyze performance and optimize campaigns based on CPI, CAC, LTV, payback period, and r

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Customer Success Manager, Beneficial Deployments -...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments team’s initiatives in Global Development. In this role, you’ll apply enterprise-grade customer success practices to partnerships with mission-driven organizations. Anthropic’s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organizations. As their dedicated Customer Success Manager, you’ll be the strategic partner and trusted advisor to these organizations - helping them harness Claude’s full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact. You’ll develop genuine partnerships with organizations, gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your global development expertise, business acumen, and technical knowledge, you’ll serve as a strategic advisor throughout their journey—helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique needs of these institutions. Your role focuses on helping global development organizations scale their AI adoption effectively, implement change management strategies suited to mission-driven cultures, optimize use cases for maximum social impact, and demonstrate value that supports continued investment and expansion. The insights you gather from these partnerships will directly inform our research priorities, product development, and strategies for beneficial AI deployment—making you a key voice in shaping how we build and deliver AI systems that amplify social good. Key responsibilities: • Build trusting, strategic relationships with nonprofit leaders, program officers, and mission-driven stakeholders to understand their organizational goals, programmatic needs, and social impact objectives, identifying opportunities for optimization and expanded AI deployment in service of supporting their organizational transformation. • Become an expert in Anthropic’s products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions • Monitor usage patterns and proactively drive adoption—identifying optimization opportunities, addressing underutilization across consumption-based (API) and seat-based products, and discovering new applications for Claude across departments and workflows • Develop and execute change management strategies appropriate for mission-driven organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints and decision-making processes • Create and maintain customer enablement resources—identifying opportunities to develop scalable assets that drive efficiency across the partner portfolio • Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s prod

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Data Scientist

Negotiable

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: - Apply causal inference methods where experimentation isn't feasible - Develop models and analyses that inform pricing, segmentation, and revenue optimization - Design, run, and analyze A/B experiments - Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks - Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making You Have: - 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field - Proficiency in SQL - Proficiency with Python or R - Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods - Strong communication skills across technical and non-technical stakeholders - Comfort building dashboards and recurring reporting

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Python and Kubernetes Software Engineer - Data, Wo...

Negotiable

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion. What your day will look like - Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer - Design, build and maintain solutions that will be deployed on public and private clouds and local workstations - Master distributed systems concepts such as observability, identity, tracing - Work with both Kubernetes and machine-oriented open source applications - Collaborate proactively with a distributed team of engineers, designers and product managers - Debug issues and interact in public with upstream and Ubuntu communities - Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you - Professional or academic software delivery using Python - Exceptional academic track record from both high school and university - Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path - Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation - Track record of going above-and-beyond expectations to achieve outstanding results - Passion for technology evidenced by personal projects and initiatives - The work ethic and confidence to shine alongside motiv

A

Account Executive, Nonprofits & Higher Education -...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Account Executive on Anthropic's Beneficial Deployments team covering nonprofits & higher ed institutions across APAC, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations, foundations, and higher education institutions across Asia-Pacific — with an initial focus on India, Australia/New Zealand, and Singapore. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit, foundation, and university leaders, helping them embed and deploy AI to amplify their impact across programme delivery, teaching and research, fundraising, and operations. This role requires a strong understanding of both the social sector and higher education landscapes across APAC. In India this includes large NGOs, Section 8 companies, corporate CSR foundations, and philanthropic trusts; in ANZ, universities, peak bodies, and registered charities; in Singapore, universities, government-linked research institutes, and IPCs. You'll navigate region-specific regulatory frameworks — including India's DPDP Act and FCRA, the Australian Privacy Act, and Singapore's PDPA — and operate across diverse linguistic, cultural, and procurement contexts. The ideal candidate will be an exceptional salesperson with deep experience selling into the Indian market and exposure to APAC more broadly, a passion for developing new market segments, and the ability to operate autonomously as one of Anthropic's first commercial hires in the region while partnering closely with SF- and NY-based teams. By driving deployment of Anthropic's products across the APAC social and education sectors, you will help organisations amplify their impact on hundreds of millions of beneficiaries and learners while advancing the ethical development of AI. Responsibilities - Win new business and drive revenue for Anthropic across APAC nonprofits and higher education institutions — including large NGOs, corporate and philanthropic foundations, social enterprises, universities, and research institutes. Own the full sales cycle from first outbound to launch, managing complex procurement processes involving boards, trustees, CSR committees, provosts, CIOs, and university procurement - Design and execute innovative sales strategies tailored to the distinct market dynamics, regulatory environments, and procurement models of India, ANZ, and Singapore. Translate high-level regional plans into targeted sales activities and prioritise across a broad territory - Navigate complex stakeholder ecosystems — founders, trustees, CEOs, programme directors, and CSR heads on the nonprofit side; provosts, deans, CIOs, research leaders, and central IT/procurement on the higher education side — building consensus across founder-led, trust-governed, corporate-affiliated, and academic governance structures - Serve as Anthropic's regional expert on APAC nonprofit and higher education market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for APAC deployments, including localisation, language, and data residency priorities&lt

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Senior Data Scientist, Ads

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit. Responsibilities: - Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform - Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform - Collaborate with product managers and engineers to define product requirements and translate them into data science solutions - Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition - Communicate findings and recommendations to stakeholders across the organization - Stay up-to-date on the latest

S

Senior Data Engineer, Public Sector

Negotiable

Senior Data Engineer, Public Sector As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance. You will: - Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy - Continually improve ongoing data pipelines and simplify self-service support for business stakeholders - Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics - Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables - Have an active Secret security clearance (Top Secret preferred) Ideally You’d Have: - 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills - Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis - Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R) - Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights 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. The base salary range for this full-time position in the location of Washington DC is: $150,400 - $259,000 USD &lt

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Senior Backend Software Engineer, AI Observability...

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE In person 5 days/week in San Francisco, Boston, MA, New York. We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable. WHAT YOU'LL DO - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features. WHAT YOU'LL BRING - 5+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput or mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) - Strong communication skills, with the ability to collaborate cross-functionally - Customer centricity and ownership mentality Compensation Annual salary range: $175,000- $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional

E

Account Manager - Japan

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customization to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment. REQUIREMENTS - 5-7 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in Japan - Familiarity and experience with building and deploying AI agents - Familiarity and experience wi

S

Forward Deployed AI Accelerator, Marketing

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Stripe Marketing organization is undergoing a fundamental transformation in how it works. We're building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work — not an occasional tool, but the foundation of how every marketer at Stripe executes. Today, marketers are already achieving remarkable results — building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. What you'll do As a Forward Deployed AI Accelerator, you'll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You'll build alongside them, and you'll help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool. Responsibilities - Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs • Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities - Coach and partner with each marketer through a progressive journey — from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency • Teach marketers to build and iterate on their own tools over time, creating independence - Recognize patterns across your cohort and systematically scale what works — a tool built for one marketer will be reusable for their peers - Document every tool, playbook, and transformation pattern you build so the entire FDA team uses each other's work - Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success - Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work - Prepare marketers for an agentic future — not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows Who you are We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work — not as a novelty, but as your default operating mode. - You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory — you've built things that changed how real work gets done. You build in real time alongside the people you support. - You are an outstanding coach and communicator. You meet people wherever they are. You create desire for progress, and you adapt your approach to each person. - You understand marketing work. You either have direct experience in marketing or quickly learn the workflows, deliverables, tool

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Staff Software Engineer, Claude.ai

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Claude.ai is one of the most-used AI products in the world, and the experience we build for our users directly shapes how people interact with AI every day. We're looking for a talented engineer to join the team that builds the consumer web app — the interfaces, interactions, and moments that turn Claude from a capable model into a product people genuinely enjoy using. This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use. The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit. Responsibilities: - Set technical direction for Claude.ai and its features - Build and ship user-facing features for Claude.ai's web experience - Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process - Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build - Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis You may be a good fit if you: - Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience - Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack - Genuinely care about the user experience — not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design - Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser - Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters - Pick up slack, even if it goes outside your job description Strong candidates may also have experience with: - Performance optimization for consumer web apps — profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end - Designing and implementing responsive layouts that work well across screen sizes and devices - Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.) - Working in fast-moving consumer product env

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Deployment Strategist Lead - Chile

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximiz

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Compliance Engineer - APAC

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE - Collaborating across teams to maintain compliance certifications and frameworks relevant to the APAC region, such as ISO 27001 and regional data protection acts like the Australian Privacy Principles (APP) or Singapore's PDPA. - Helping to shape ElevenLabs’ Enterprise offering towards regulated industries in the APAC region, such as Finance, Telecommunications, and Government sectors, particularly focusing on opportunities in Australia, New Zealand, and Singapore. - Building technical documentation to demonstrate our compliance to our customers throughout the stack. - Assisting the sales team by responding to client security requests and managing compliance-related queries. - Conduct risk assessments based on CIS or ISO 27000 series frameworks, document findings, and help teams achieve compliance efficiently. - Enhance compliance as code tooling to automate monitoring, reporting, and reduce friction for other teams to remain compliant. WHAT YOU BRING - Experience in completing vendor security assessments and client security questionnaires in regulated industries across the APAC region, such as Government, Defense, and Finance, with an emphasis on Australia, New Zealand, or Singapore. - Strong technical expertise in managing and executing compliance, with hands-on experience using compliance management tools (e.g. Vanta). - Proven ability to mai

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Senior Staff Data Scientist - Consumer Experimenta...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: - Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment - Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation - Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches - Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product

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Senior AI Engineer - APM Experiences

Negotiable

The opportunity Datadog’s APM Experiences team owns the core product experience for Application Performance Monitoring — including distributed tracing, service representation, and more. We’re building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can: - Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent - Proactively recommend performance and reliability-based optimizations to prevent the next incident - Automatically create intelligent monitors and SLOs for the most important business flows and critical paths This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems. What you’ll do - Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes. - Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability. - Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths. - Integrate with Datadog’s platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI. - Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences. - Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems. Who you are Product‑minded engineer who ships AI to production - 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance - Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails) - Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Strong ML / applied science fundamentals - Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals) - Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model - Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions D

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Senior Machine Learning Engineer

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals - Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems - Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. - Partner cross-func

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Machine Learning Systems Engineer, Ads ML Platform

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. Team Overview We’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management. We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems. This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive. What You’ll Do - Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage. - Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use. - Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning - Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems. - Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management - Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives. What You Bring - 3+ years in data infrastructure/platform engineering or ML infrastructure platforms. - Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools. - Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies. - Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving. - Strong coding skills and ability to

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Senior Machine Learning Engineer, GenAI Data

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: - High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data - Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets - Research-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelines - Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models - Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access - Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling - Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs ar

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Compute & Infrastructure Counsel, Security & Compl...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s model weights and training infrastructure are among the highest-value targets in the technology sector, facing nation-state, supply-chain interdiction, and insider threats that conventional enterprise security programs were not built to address. As Commercial Counsel, Infrastructure Security for Compute and Infrastructure at Anthropic, you’ll be the day-to-day legal partner to the Chief Security Officer’s infrastructure-security and the Governance, Risk and Compliance teams. You will own the contractual and regulatory layer of physical and facility security, hardware and supply-chain security, network security, vendor personnel and insider-risk flow-downs, and security regulatory and assurance. You’ll work in close partnership with Anthropic teammates in Frontier, Product, Litigation, Employment, and Commercial Legal, in addition to specialized outside counsel. You will serve as the primary legal owner ensuring security requirements are in the contract before signature and that external work product aligns with Anthropic’s security posture and commercial objectives. Responsibilities - Draft and negotiate security design-basis and site-hardening specifications in build-to-suit, lease, and colo agreements (perimeter, access control, CCTV, intrusion detection); guard-force statements of work, post orders, and KPI regimes; visitor, contractor, and badging policy; and security clauses in shared-campus and multi-tenant arrangements - Own provenance, anti-tamper, and chain-of-custody warranties in silicon, ODM, and OEM paper; trusted-supplier and country-of-origin restrictions; NDAA §889/§5949 and CHIPS-Act guardrail flow-downs; BIS/EAR advanced-computing and semiconductor export-control flow-downs and end-use/end-user certifications; firmware integrity, secure-boot, and golden-image escrow terms; secure logistics; counterfeit-part and grey-market controls; and secure decommissioning and certified media-destruction terms - Draft security schedules in carrier and fiber agreements (encryption-in-transit, route integrity, lawful-intercept handling), and security obligations in peering agreements - Set background-screening, training, and badge-revocation requirements for vendor and contractor personnel with site or hardware access, and flow Anthropic personnel-security standards into guard-force, security-integrator, and EPC vendor MSAs - Support CFIUS and outbound-investment screening on infrastructure vendors and sites, provide NIST/ISO/SOC 2 physical-control evidence for customer and auditor assurance in partnership with security teams; and support security representations in customer contracts that reference physical infrastructure with Commercial Legal - Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s security and commercial objectives - Build the function: develop and maintain the security-schedule library, design-basis templates, advise on vendor security questionnaire templates, and negotiation playbooks; train Procurement, Datacenter, and Network teams to apply them at scale</p&g

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Deployment Strategist - Brazil

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineer

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Senior Engineering Manager, AI Research and Develo...

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Research & Development team is at the forefront of transforming Robinhood into a personalized, AI-native financial platform. We build and scale the applied machine learning systems that power Robinhood’s core product surfaces to ensure every user discovers the most relevant tools for their financial journey. Our work is mission-critical; we develop the foundation models that protect our users through advanced risk modeling and drive the company’s top priority of hyper-personalization. We are dedicated to creating state-of-the-art AI systems to provide bespoke and high-trust financial experiences for our users! As the Senior Engineering Manager, AI R&D, you will lead a highly technical organization responsible for the full lifecycle of applied machine learning across a variety of business applications. This is a high-impact applied ML leadership role where you will lead a team responsible for personalization and risk models that directly affect millions of users’ financial outcomes. You will oversee the development of advanced modeling frameworks, foundation models, and transformer-based architecture designed to capture complex signals and drive intelligent predictions at scale. The work sits at the intersection of large-scale systems and high-stakes decisioning, where model quality directly translates to user trust and financial impact. This role requires an exceptional leader with a deep background in machine learning and a track record of guiding teams through the development of sophisticated architectures to deliver measurable product impact while maintaining the high standards of performance and security required for a large scale financial platform. This role is based in our Menlo Park, CA or Bellevue, WA office, with in-person attendance expected 5 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 - <span data-markd

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Software Engineer, AI Platforms

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: - Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. - Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. - Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. - Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. - Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. - Collaborate with product, research, and infrastructure engineers working across AI. - Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. - Debug and resolve complex production issues that span services and layers of the stack. - Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: - 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. - 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. - Proficiency in TypeScript, Python, or Ruby. - Strong system design skills and a track record of architecting resilient production systems. - Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: - Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. - Experience evolving large-scale, shared developer platforms to

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Member of Technical Staff (Software Engineer, Mone...

Negotiable

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve Saa

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Senior Data Scientist, CX Analytics

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality. What you'll do: - Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. - Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. - Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. - Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes. - Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility. Required Skills and Experience: - A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience. - Demonstrated experience building revenue attribution or causal impact models and driving data science projects through ambiguous problem spaces in a consumer-facing or operational analytics context. - Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to real-world business problems, with a high bar for production-grade accuracy and evaluation rigor. - Experience designing and deploying LLM-based classification or NLP pipelines for operational or customer-facing use cases. - Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, con

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Senior Account Executive, Beneficial Deployments

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an EMEA Nonprofit Senior Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations. This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages. The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI. Responsibilities - Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions - Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities - Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures - Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments - Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach - Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets - Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks You May Be a Good Fit If You Have - 10+ years of experience prospecting and closing leads in EMEA markets <

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Member of Technical Staff (Search Engine Developer...

Negotiable

Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. 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, 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 - 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

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Model Risk Management Lead, Machine Learning

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse. What You’ll Do - Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring - Identify model weaknesses and opportunities for improvement - Collaborate with model owners to remediate model validation findings - Partner cross-functionally to implement and maintain the company’s MRM framework - Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests What We Look For - 4-6 years of professional experience in related technical areas such as model development, model validation, data science - Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management - Proven ability to work with script languages(e.g., Python) and large-scale dataset (e.g., SQL) - Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases - BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science - Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving - Extraordinary interpersonal and verbal/written communication skills Pay Grade - M Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dep

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Design Engineer, Education Labs

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: - Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site - Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel - Define technical direction for the team—establish patterns others can follow - Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy - Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders - Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers - Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization You may be a good fit if you have: Strong full-stack engineering with design sensibility - 6+ years building and shipping web products, with deep expertise across the stack - Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail - Solid back-end and data pipeline experience: Python, API design, analytics infrastructure - A portfolio showcasing innovative interaction designs an

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Enterprise Account Executive - Transport & Travel

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic's EMEA Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the EMEA markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the EMEA landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Education. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Media, Energy, Manufacturing, Technology, Retail, and other major industry sectors that represent significant growth opportunities for AI adoption. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams - Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals - Break into new accounts and cross-sell into existing business alongside our team of Account Executives - Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts - Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options - Prioritize organizations that can serve as lighthouse customers and references within their industries - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations - Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new s

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Technical Program Manager, Security

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Security, you'll drive execution of high-stakes programs that span security engineering, infrastructure, and cross-functional teams across Anthropic. You'll be responsible for the strategy, planning, and execution of technical security programs that enable Anthropic to meet its Responsible Scaling Policy (RSP) commitments while building towards a security posture that scales with our rapid growth. This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines. Responsibilities: - Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines - Lead infrastructure security programs – Manage programs like cluster hardening, service boundary enforcement, and security observability that protect our most sensitive assets including model weights and training infrastructure - Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organizations - Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles - Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives - Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes - Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks You may be a good fit if you: - Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders. - Have experience executing technical programs that require systems and engineering-level knowledge. - Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance. - Have experience leveraging LLMs to automate workflows, imp

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AI Solutions Engineer

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About the Team: People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function. The team runs like a product engineering group embedded in HR. We own the full stack: data ingestion, transformation, dashboards, AI tools, and production applications deployed on Snowflake. About the Role: This is a hands-on engineering role. You will build, deploy, and maintain AI-powered systems that serve the People function and the broader employee base. The work is taking messy business problems (fragmented knowledge, manual processes, disconnected tools) and turning them into working software: agents, APIs, applications, and infrastructure. You will work closely with partners across the People function who own domain expertise and stakeholder relationships. Your job is to turn their rough applications and processes into production systems, and to push back when a technical constraint changes what's possible. This is not a pure backend role. You will be in the room when business problems are being scoped, and you need to understand the problem well enough to make architecture decisions on your own. You also need to take what you build and get it running in production. Hosting, security, deployment, and ongoing maintenance are all part of the job. What You'll Do: - Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containerization, networking, secrets, CI/CD, monitoring, and fixing what breaks. - Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses. - Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs, data classification, and access policies already exist, but connecting them across systems (Workday, Snowflake, case tools) is where it gets messy. You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to. - Design reliability infrastructure for multi-model LLM services. Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it. - Work directly with non-technical stakeholders to scope problems, make architecture decisions, and give honest assessments of what AI can and can't do. You translate in both directions. - Contribute to the team's shared Python codebase, dbt models, and Snowflake infrastructure as part of a small, full-stack team that ships fast. - Own what you build. When something breaks in production, you diagnose and fix it. What We're Looking For: - Software engineering foundation. You have built, deployed, and maintained production applications. You understand version control (Git/GitHub), CI/CD pipelines, containerization, and what it takes to keep software running, not just written. - Systems thinking and technical architecture. You und

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Product Manager, Safeguards (Child Safety)

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. You may be a good fit if you have: - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amid

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Renewals Leader

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We’re looking for a Renewals Leader to build and scale the function that protects and grows Anthropic’s recurring and committed revenue. This role owns renewals strategy, execution, and forecasting — ensuring we deliver exceptional customer outcomes while sustaining durable, predictable revenue as our enterprise base scales. Anthropic operates on a consumption-based model, which makes this fundamentally different from a traditional renewals role. Your team won’t simply be renewing contracts on a fixed cycle — they’ll be managing customer commitments in step with real usage, catching consumption risk early, and converting healthy adoption into expanded commitments. You’ll build the playbooks, the forecasting rigor, and the early-warning systems that make retention a strength rather than a scramble. You’ll lead and develop a team of Renewals Managers, partner closely with Sales, Deal Desk, Finance, and Customer Success, and serve as a trusted commercial voice in front of strategic customers. This is a builder’s role: you’ll be one of the first dedicated leaders for this function, so the processes, culture, and standards you set become the template. What you'll do: - Build and lead the renewals team. Hire, develop, and retain a team of Renewals Managers. Define how the function covers the customer base, set the performance bar, and create a culture of accountability and customer-centricity. - Own the renewal number. Own renewal bookings, gross and net retention, on-time renewal metrics, forecast accuracy, and renewal pipeline health. Identify risk early and implement mitigation strategies to reduce churn and contraction. - Define the operating model. Establish scalable renewal playbooks, stage definitions, qualification criteria, and operational rigor — adapted for the realities of consumption-based revenue rather than fixed contract cycles. - Forecast with rigor. Drive accurate weekly and monthly renewal forecasting and reporting that leadership can plan against, grounded in usage data and customer health signals. - Drive expansion at renewal. Partner with Sales and Customer Success to convert adoption depth into expanded commitments, and lead executive-level renewal conversations for strategic accounts where required. - Collaborate across the GTM organization. Work with Sales on territory and account strategy, with Deal Desk and Finance on pricing, terms, and approvals, and with Strategy & Operations on forecasting and field alignment. - Lead with an AI-first mindset. Use data, automation, and tooling — including Claude — to optimize renewal processes, monitor KPIs, and continuously raise the bar on performance. You may be a good fit if you have: - 8–12+ years of experience in SaaS, PaaS, or

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Security Engineer, Detection & Response

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: - Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack - Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities - Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents - Review Incident Response metrics and procedures and drive continuous improvement - Work cross functionally with other security and engineering teams - Note: This position will require participation in an on-call rotation You may be a good fit if you: - 3+ years of software engineering experience, with security experience a plus and/or - 5+ years of detection engineering, incident response, or threat hunting experience - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Exceptional communication and collaboration skills - An ability to lead projects with little guidance - The ability to pick up new languages and technologies quickly - Experience handling security incidents and investigating anomalies as part of a team - Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: - Experience performing security operations or investigations involving large-scale Kubernetes environments - A high level of proficiency in Python and query languages such as SQL - Experience analyzing attack behavior and prototyping high quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics - Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed on a rolling basis. 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 Sal