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Member of Technical Staff (Software Engineer, Agen...
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future. Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations. WHAT YOU’LL DO - Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach. - Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways. - Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale. - Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer. QUALIFICATIONS - 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus. - Daily use of AI models/tools, with strong knowledge on the latest frontier. - Proficiency with Python, along with experience and/or TypeScript, Go, and other languages. - Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users. - Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.) - Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
Senior Data Scientist
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, US About the Role The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. Responsibilities - Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. - Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. - Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. - Strong audience focused presentation and storytelling skills focus
Member of Technical Staff - Product (Frontend)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for strong frontend engineers who love building complex and gorgeous products, and have a high degree of customer empathy, product sense and ownership. REQUIREMENTS: - Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. - Experience building applications with a modern front-end Javascript framework such as React. Prior experience in Svelte is nice to have, but not required. - Ability to build pixel-perfect components and polished interactions. - Strong product sense and experience driving product outcomes. - Strong communication skills and a desire to partner with our customers in solving their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to partner closely with product design to craft delightful user experiences. - Ability to work in-person in our NYC office.
Technical Account Manager, AI User Segment
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 Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you’ll do You will strategically support Stripe’s AI user segment consisting of complex and high-growth AI companies. You will develop deep relationships with your assigned accounts’ key stakeholders through frequent in-person meetings and technical account planning sessions. Responsibilities - Provide a gold standard experience to your assigned accounts' key stakeholders - Work with the wider Operations team to provide current state, resources, and knowledge to enable a gold standard experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development - Foster long-term user relationships that grow loyalty to Stripe and Stripe products - Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption, and global expansion - Work closely with Account Management and other user-facing teams as part of a larger effort to support users on Stripe - Lead user-facing meetings both in person and through video chat - Collaborate on the continued design of this support offering - Create user-facing content for long-term solutions - Partner closely with other Technical Account Managers supporting AI accounts as a subject matter expert on the AI industry to deliver differentiated technical support - Engage in frequent on-site visits with AI users to deepen relationships, surface technical challenges early, and deliver strategic guidance to their engineering, product, and business stakeholders - Drive publication of user case studies Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 10+ years of experience in enterprise-level client-facing work - Demonstrated expertise in the AI industry, such as monetization models, fraud strategy, global payment methods, and the technical and operational challenges faced by AI companies - Strong product sense and energized by the challenge of solving difficult user-related problems <
Senior Data Scientist - Family Experience
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY FAMILY EXPERIENCE? Family Experience sits at the intersection of safety, product, and growth. The team is building systems that help parents engage confidently in their child’s Roblox experience, while also enabling access to important features that increasingly require parental consent in regulated markets. This role is an opportunity to shape a fast-evolving product area with meaningful user and business impact. You will help make parent linking and consent flows simpler, improve parent engagement and perception, and be a strategic leader in product direction that strengthens both trust and growth for families and regulators globally. You Will: - Shape the Family & Experiences roadmap with strategic data science guidance across parent linking, consent, and parent engagement. - Identify and size the highest-impact levers to improve parent links, engagement, and consent rates. - Design and evaluate features across onboarding, linking, verification, consent, and Family Hub experiences. - Apply experimentation and causal inference to understand how parent engagement influences child and family outcomes. - Define success metrics and measurement frameworks for launches, funnels, and long-term product health. - Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions. - Translate friction points in the parent journey into actionable product recommendations. - Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions. You Have: - 5+ years of industry experience in data science, economics, analytics, or machine learning engineering - 2+ years of experience using scripting languages (Python, R), and big data
Staff+ Software Engineer, Enterprise
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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Engineer to anchor our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, the systems and products that you design are what make it possible. This is a high-agency role that spans multiple efforts within Enterprise. You'll design Claude Enterprise to be widely distributed, support our governance and connectivity story, design abstractions that other teams want to adopt, help the team evaluate tradeoffs, and be the engineer in the room who can interface with executives from the world’s largest companies. Responsibilities - Define and drive multi-year technical strategy, including our distributability and multi-cloud strategy - Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. - Serve as one of the primary technical decision-makers for major architectural decisions with org-wide scope. - Partner other teams such as Inference and Platform for foundational systems; Customer Success for the voice of customers, with Infrastructure and Safeguards for security, privacy, and responsible deployment. - Mentor and develop Staff-level engineers across the org. - Drive alignment across Product, GTM, Customer Success, and beyond while proactively identifying and addressing systemic technical risks. You may be a good fit if you: - Have 10+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. - Have demonstrably shaped technical strategy for large-scale Cloud Service Provider or Enterprise SaaS companies - Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. - Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. - Are highly effective across org boundaries—you build trust with GTM, Platform, Inference, Infrastructure, Privacy, Safeguards, and business stakeholders alike. - Bring strong domain expertise and intuition in enterprise areas such as security, identity, compliance, governance, permissions, and connectivity. Technical Stack - Languages: &
Sr. Staff Data Scientist - Ads Measurement, Signal...
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’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities - Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. - Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. - Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. - Advance Experimentation and Causal Inference at Scale: Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ens
Staff Research Engineer, Post-training & Evaluatio...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. The AI Engineering team at Reddit is building our own Reddit-native foundational Large Language Models (LLMs). This team sits at the intersection of applied research and massive-scale infrastructure, training models that truly understand the unique culture, language, and structure of Reddit communities. You'll join... Observed freshness date: 2026-07-08T12:17:09-04:00 Freshness signal: first_party_updated_at Remote signal: remote Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/reddit/jobs/7555007 Source URL: https://job-boards.greenhouse.io/reddit
AI Support Engineer - Dublin
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Analyst, AI Workflows & Automation
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 an AI Workflow Specialist on the Trust & Safety Operations team, you will be the bridge between product , operations , and other relevant teams. You will be required to create workflows , using AI to design, prototype, and scale high‑impact automations. You will translate operational pain points into well‑designed AI workflows, partner closely with product and engineering, and build the evaluation frameworks that ensure these automations are safe, reliable, and measurable. You Will: - Partner with the Subject matter experts across the Support Ops and Shared service teams to understand the current gap and brainstorm on the desired solution. - Map and document existing workflows to identify high‑leverage automation opportunities and clearly define “current vs. future state.” - Design AI‑augmented workflows that combine LLM agents, existing rules engines, and human review to improve speed, quality, and consistency - Prototype and iterate AI solutions using internal and external (accepted) tooling (e.g., Claude and other LLMs, internal agentic/AI workflow platforms, and Builder AI code intelligence) to turn workflow designs into working agents or automations. - Define success metrics and evaluation plans (e.g., automation rate, handle time reduction, error/rollback rate, reviewer satisfaction) and build or integrate with eval pipelines to measure agent performance over time. - Partner with product, engineering, and operations to prioritize use cases, scope requirements, and align AI workflows with product roadmaps and control/compliance expectations. - Operationalize launches : contribute to playbooks, runbooks, and training so that operations teams can use AI agents confidently and understand when and how to intervene or escalate. - Continuously improve workflows by monitoring performance, surfacing insights, and iterating on prompts, policies, routing, and UX to keep systems robust as volumes, abuse patterns, and regulations evolve. - Champion safe and secure AI usage , partnering with security and compliance stakeholders to ensure AI workflows respect data handling, access controls, and regulatory constraints, especially as AI workloads increase. <h2&g
Senior AI Engineer - APM Experiences
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
Principal Software Engineer - Economy ML (Data Sys...
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. Who We Are: Shape the future of Roblox’s virtual economy. The Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale. As a Principal Software Engineer (Data Systems) , you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various product surfaces in Marketplace, Developer Monetization and Payments. You will be involved in key data projects from architecting event taxonomies and logging interfaces to real-time feature serving across multiple search and recommendation surfaces. What You’ll Do - Act as data engineering lead for Economy ML, setting standards for batch vs streaming feature pipelines, table design, observability, and documentation used across the Economy group. - Work as a hands-on contributor on our data systems to power content recommendation, search and personalization across Economy product surfaces. - Partner with Product, Data Science and ML engineering counterparts to prioritize data initiatives that unlock top-line business goals and reduce tech debt in existing datasets and pipelines. - Mentor other DE/ML engineers on best practices for schema design, client logging, experimentation data, and feature pipelines, raising the overall bar for data work. - Collaborate with partner and platform teams across Roblox to make sure we are building products with a community first approach. - Research and leverage industry-leading practices while making product impact. You Have - 8+ years of experience as a product-focused data systems engineer (preferably working with search, recommendation, advertising or personalization systems). - Experience designing efficient logging schemas and optimizing data processing pipelines. - Experience with real-time stream processing and batch processing (using technologies such as Flink, Spark, Kafka, Druid) - Familiarity with feature stores and other machine learning infrastructure. You Are
Senior Data Scientist, Matching
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other. Responsibilities Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy Translate product objectives to data science problems and vice versa Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) What We're Looking For 5+ years of experience as data scientist Experience with A/B testing Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge) Strong knowledge of statistics and machine learning Superb communication skills Ability to balance rigor with practicality Deep sense of intellectual curiosity Excellent collaboration skills and a track record of cross-functional influence
Senior Engineering Manager, Machine Learning Platf...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Manager to lead our ML Platform engineering organization, the team that builds and operates the critical infrastructure enabling every ML capability at Affirm. This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering. You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions. What You'll Do - Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale. - Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs. - Continuously evolve the platform to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next. - Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives. - Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor. - Recruit, develop, and retain world-class platform engineers. What We Look For - 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers. - Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent. - Strong understanding of data — data pipelines, data quality, and how data shapes model behavior and platform design. - Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving. - Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs. - Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams. - Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder. - Experience navigating ambiguity and leading through organizational complexity. - Bachelor's degree in a technical field or equivalent practical experience. Pay Grade - R Equity Grade - 15 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and visi
Senior Software Engineer - AI Platform Team
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 Software Engineer on the AI Platform team within the Platform group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization. What you'll do: - Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway - Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent - Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide - Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities - Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents - Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting Required Skills and Experience: - 5+ years of software engineering experience with demonstrated expertise building ML/AI infrastructure, LLM systems, or distributed platform services at scale - Demonstrated ability to lead multi-quarter initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact - Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers - Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems - Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Public Blog Posts:</stron
Senior Machine Learning Systems Engineer, Ads ML E...
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 has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence Team Overview We are building the next generation of ML research tools and agentic AI platforms that power machine learning development across Reddit. Our mission is to accelerate the Ads ML lifecycle – from experimentation and training to deployment, evaluation, and autonomous operations – through scalable platform services, intelligent automation, and developer-centric tooling. Our team owns critical platform capabilities including offline ML experimentation systems, production training orchestration frameworks, ML lifecycle automation and, agentic ML frameworks that enable faster model iterations. We are looking for an experienced engineer with deep expertise in large-scale distributed systems, ML platforms, and emerging agentic architectures to help define and build the foundational tooling for the next generation of our machine learning devX tooling. What You’ll Do - Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows. - Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining. - Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility. - Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency. - Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation. - Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure. What You Bring - 5+ years in infrastructure/platform engineering or large-scale distributed systems. - 2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling. - Experience building workflow orchestration systems, developer platforms, or large-scale automation framewor
Director, Deployed Engineering - Central
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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. We’re looking for a leader to build and scale our Deployed Engineering organization across the Central US region. ABOUT THE ROLE As our Director, Deployed Engineering - Central, you will build and lead the team of deployed engineers working across the region. You will build and lead a team of deployed engineers who establish LangChain’s technical and strategic credibility with our most important customers. You will report to the Global Head of Deployed Engineering, and operate as a peer to the regional sales leader, with shared ownership of outcomes. This role is equal parts organizational leadership, customer engagement, and revenue accountability. You will define how deployed engineering operates in our East region, build a high-performing regional team, and ensure tight alignment between technical excellence and commercial success. As a member of the global deployed engineering leadership team, you will also be a core contributor to shared strategy, helping define the playbooks, processes, and standards used across regions. WHAT YOU’LL DO - Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly. - Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region. - Partner with LangChain’s regional sales leader, with shared accountability for revenue outcomes and customer success. - Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design. - Differentiate LangChain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production. - Set and uphold the technical bar for deployed engineering, staying close to the product and modeling what excellent customer-fac
Strategic Account Executive, Insurance - FSI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance - Operational rigor
Head of Narratives
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land. We're looking for a Head of Narratives to own how LangChain shows up in the world across content, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great content in front of the right people at the right time. You'll lead an existing team of rockstars across brand, social, content and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us. This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there. WHAT YOU'LL DO: Content Marketing & Editorial - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for — and translate that into a rolling editorial direction that the whole team is working from. This is the backbone of everything else. - Keep the editorial calendar always on. Make sure there's always something worth reading, watching, or sharing coming from LangChain — and that it's connected to a coherent point of view. - Review content. Work closely with an existing content marketer to build the program together — shaping briefs, editing drafts, writing when the moment calls for it, and growing the team over time. - Set and uphold the editorial standard. Define LangChain's voice and quality bar. Brand - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately. - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction. - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa. Social & Rich M
Director, Forward Deployed Engineering
Director, Forward Deployed Engineering At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time. This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will - Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption. - Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity. - Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement. - Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last. - Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. - Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready. - Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities. - Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls unde
Enterprise Account Executive, Federal Civilian Sal...
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 Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise 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, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of federal civilian procurement, including FAR/DFAR compliance, security standards, and agency-specific regulations - Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements - Create and maintain sales playbooks specific to federal civilian use cases and procurement processes - Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 7+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies - A deep understanding of federal civilian agency missions, challenges, and technology needs - Demonstrated the ability to balance strategic leadership with hands-on sales execution - Experience navigating complex federal procurement processes and compliance requirements - A strong track record of exceeding revenue targets in the federal civilian space - Extensive experience with federal civilian contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. &
Engineering Manager, Cybersecurity Products
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market. Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things, not just builds things well. This is a builder's role. The team is small, the pace is high, and you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here. Responsibilities - Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work - Stay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matter - Own architectural decisions across the full stack, from agentic systems and model orchestration to product surfaces, integrations, and data infrastructure - Coordinate with GTM, partnerships, and other product areas - Grow the next layer of leadership on the team You may be a good fit if you - Have 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction - Have shipped cybersecurity products in production (SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation) - Have taken a team from prototype through first paying customers to scaled deployment - Are technical and hands-on: comfortable in design reviews and in the team's code - Have strong product instincts and a record of helping teams decide what to build, not just how - Communicate clearly across functions and keep research, product, GTM, and executive partners aligned through ambiguity - Treat direct customer contact as a primary input to your roadmap - Care deeply about Anthropic's mission and about developing AI responsibly and safely Strong candidates may also have experience with - Hands-on security expertise: application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineering - Building products on LLMs, including agentic systems, evals, and prompt and model iteration loops - Strict data-handling environments (BYOC, CMEK, regulated industries, governments) - Both startup and enterprise-scale company experience - Working closely with research to translate capability into shipped product - Ecosystem partnerships and MCP, CI/CD, or source-control integrations <div cl
Member of Technical Staff - Product (Growth)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. IN THIS ROLE YOU WILL: - Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content. - Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents. - Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation. - Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable. REQUIREMENTS: - Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience. - Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal. - You can build polished, responsive web experiences without needing every detail specified. - Business-owner mindset with strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement and tradeoff inherent to each. - Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers. - Ability to work in-person in our NYC office. NICE TO HAVE: - Deep knowledge of SEO, AEO, structured content, or agentic discoverability. - Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company. - Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest. - Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylo
Staff Software Engineer, Accessibility
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 Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The UI Platform team owns the foundational layer that makes Claude usable for every person who relies on it: the shared components, primitives, automated testing, and tooling that let every other product team at Anthropic ship accessible experiences quickly, reliably, and with confidence. As a Software Engineer on this team, you'll be hands-on designing and shipping accessible shared components and design-system-level abstractions, building the automated accessibility testing layer that catches regressions across surfaces, and improving the build, deploy, and testing systems that keep Claude.ai conformant across surfaces. Your work will directly shape how fast teams across Anthropic can ship accessibly—and how reliable their experiences are for users who rely on assistive technology. As we innovate new Claude products, we have an opportunity to lead the field in designing them in an accessible way. This is a great fit if you care deeply about accessibility and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make every feature accessible. Responsibilities - Shape the definition of how AI products should be accessible - Design and publish accessible component primitives, libraries, and abstractions used across Anthropic's web and mobile surfaces - Integrate accessibility into product workflows so standards are met by default rather than retroactively remediated - Develop automated testing and agentic scanning infrastructure that catches accessibility regressions across surfaces - Partner with product teams to resolve accessibility issues and prioritize the most impactful work - Maintain documentation and tooling that make accessible engineering approachable You may be a good fit if you - Have 7+ years of software engineering experience, with significant time spent building accessible products, shared platforms, or developer tools that other engineers rely on - Have strong practical skills in modern web technologies (React, TypeScript or comparable frameworks) - Have hands-on familiarity with WCAG 2.2 AA, ARIA Authoring Practices, and HTML semantics - Have experience testing with assistive technology — screen readers (VoiceOver, NVDA, JAWS, TalkBack), keyboard-only navigation, magnification, voice control - Care about developer experience and have a track record of building things that make other engineers more productive - Have solid instincts around accessibility, reliability, and quality—and enjoy operationalizing those instincts in production systems - Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners - Pick up slack, even if it goes outside your job description Strong candidates may also have experience with &l
Senior AI Engineering Manager
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... - Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. - Contribute to the development and training of a variety of machine learning models, including large-scale neural networks. - Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. - Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group. - Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. - Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects. - Mentor team members, providing guidance and support in their professional development. - Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅ You have... - Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. - Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. - Strong background in training and fine-tuning large models in an applied setting. - Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. - Excellent communication and
Member of Technical Staff - Systems
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. REQUIREMENTS: - 5+ years of experience writing high-quality production code - Experience building high-performance distributed systems at a large scale (the more battle scars, the better) - Strong cloud skills - Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) - Ability to work in-person in our NYC or SF office. - Prior experience with Rust is nice to have, but not required. - Ability to participate in on-call rotation and respond to production incidents.
Staff Data Scientist, Marketing
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: At Reddit we continue to grow our teams with the best talent. We're completely remote friendly . Team Description: The Marketing Science team at Reddit leverages data to maximize the impact of Reddit’s own marketing investments. We serve as the engine behind our growth, using advanced experimentation, causal inference, and econometrics to understand what drives users to Reddit and what brings advertisers to our platform. We work at the intersection of brand building and performance marketing, ensuring every dollar spent is an investment in the long-term health of our ecosystem. Role Description: Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. In this role, you will be the primary architect of how we measure and optimize Reddit’s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors). This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts. Responsibilities: - Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget. - Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend. - Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other. - Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth. - Lead Through Influence: Collaborate deeply with Marketing, Growth, a
RTL Design Engineer – Interconnect & Network Datap...
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and production readiness. You will also plan and oversee the work of junior engineers and help develop productive engineering relationships with external partners. In this role, you will: - Own the microarchitecture, RTL design, and delivery of major packet-based interconnect and networking components, including NoC fabrics, switches, routers, bridges, protocol adapters, arbiters, queues, schedulers, buffers, and traffic-management logic. - Design mechanisms for routing, arbitration, ordering, flow control, congestion management, quality of service, packet scheduling, buffering, and performance monitoring. - Develop on-chip and off-chip interfaces, protocol bridges, and custom networking protocols or protocol extensions for scale-up and scale-out systems. - Perform substantial direct microarchitecture, SystemVerilog coding, simulation, and debug work. - Collaborate with architecture and performance teams to analyze traffic patterns, identify bottlenecks, and optimize latency, bandwidth, fairness, and utilization under realistic workloads. - Work with verification teams to develop coverage plans, assertions, stress scenarios, and debug strategies for highly concurrent packet and fabric behavior. - Partner with physical design teams on floorplan-aware design, pipeline strategy, timing closure, power, area, and physical congestion. - Collaborate with firmware, software, validation, and post-silicon teams through bring-up and production readiness. - Drive third-party engagements involving networking, interface protocols, and silicon IP while maintaining design quality and execution accountability. - Provide technical leadership through architecture and design reviews, documentation, mentoring, and reusable RTL methodologies. You might thrive in this role if you have: - Extensive industry experience with recent, hands-on ownership of complex networking, packet-processing, or packet-switched interconnect RTL. - Demonstrated networking expertise in one or more of the following: Ethernet switching, NIC/SmartNIC/DPU datapaths, network accelerators, RDMA/RoCE, InfiniBand, traffic management, or custom scale-up/scale-out transports. - Deep expertise in Verilog/SystemVerilog and the development of clean, parameterized, production-quality RTL. - A strong record of owning major RTL blocks or SoC subsystems from requirements and microarchitecture through tape-out and silicon bring-up. - Experience designing queues, arbiters, schedulers, buffers, routing logic, virtual channels, credit-based flow control, congestion management, quality of service, ordering, or deadlock-avoidance mechanisms. - Experience with relevant on-chip, chip-to-chip, or host interfaces such as AXI, CHI, CXL, PCIe, or Ethernet, alongside deeper networking or packet-datapath expertise. - Experience designing custom networking protocols, protocol extensions, or hardware datapaths for large-scale RDMA/RoCE, HPC, or AI systems. - Strong familiarity with RTL development and signoff flows, including lint, CDC/RDC, synthesis, formal verification, static timing analysis, power analysis, and design-for-test considerations. - Experience collaborating with architecture, verification, physical design, firmware, performance, and post-silicon teams to deliver complex silicon. - Strong judgment when balancing performance, power, area, schedule, verification risk, and physical implementation constraints. - The ability to provide technical direction, mentor engineers, and drive alignment while remaining actively involved in RTL design and debugging. - A passion for reducing complexity and improving engineering leverage through automation and pragmatic design. Preferred Qualifications - Experience designing packet-switched interconnect or networking datapaths for AI accelerators, GPUs, CPUs, HPC systems, NICs/SmartNICs, switch ASICs, or large-scale datacenter silicon. - Experience addressing virtualization, isolation, RAS, telemetry, security, or memory-consistency requirements within complex networking or interconnect subsystems. - Experience with network or NoC performance modeling, traffic simulation, emulation, FPGA prototyping, or post-silicon traffic and performance analysis. - Experience leading architecture or RTL delivery for first-generation networking or interconnect IP in rapidly evolving silicon programs. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior AI Engineer | US | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services - Build MCP servers
Staff Product Manager, Agentic Platform
Role: Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI). We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices. This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale’s public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale’s public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense. Some examples of GenAI applications we build are: - Agentic warfare and scenario planning - Indications and warnings integration for the protection of critical continental level assets - Deep research capability that can help evaluate thousands of pages of classified information - Report generation for multiple customized report templates - Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making You will: - Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers - Work with executives at Scale and our customers to determine and execute the product strategy of the business. - Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches - Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. - Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry - Maintain a Top Secret security clearance Ideally you'd have: - Technical degree in computer science, engineering, or equivalent experience - 4+ years of experience in building ML-powered and / or enterprise-facing products - Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings - Experience operating in a fast-paced environment with high ambiguity - Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams - Data literacy and experience with data analytics -
Full Stack Software Engineer, Gov
About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. This position requires U.S. person status as defined by the applicable government contract. In this role, you will: - Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. - Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. - Talk to users to understand their problems and design solutions to address them - Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers. - Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products - Optimize applications for speed and scale You might thrive in this role if you: - 9+ years of relevant engineering experience at tech and product-driven companies - Proficiency with JavaScript, React, and other web technologies - Proficiency with some backend language (we use Python) - Some experience with underlying infrastructure primitives like Kubernetes and Terraform - Interest in AI/ML (direct experience not required) - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines - An interest in enabling public sector use cases with unique requirements About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Marketing Manager
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We have a product that engineers love, a rapidly growing customer base, and a compelling story that becomes challenging to maintain as both evolve. We need someone to tackle a significant portion of this challenge: positioning, crafting copy across all platforms, developing launch strategies, enabling sales, and creating supporting content. You will collaborate with our Head of Product Marketing to ensure that our narrative remains clear and relevant as we progress. You'll also work closely with the Sales team to understand what resonates in deals and lead initiatives such as case studies, videos, and product updates. Your writing will target ML engineers and technical buyers, so you'll need enough understanding to establish credibility with this audience, even if you aren't an engineer yourself. We're a product-led growth (PLG) company with an enterprise sales approach, so you'll navigate both environments effectively. In this role you will: - Partner with leadership on GTM strategy, messaging, and product launch strategy - Develop positioning that lands with AI and ML Engineers, along with technical decision makers - Own the narrative and copy across all of our surfaces (web, video, email, social, events) to ensure it communicates our value proposition and vibe clearly and consistently - Optimize distribution across key channels (i.e. Twitter, LinkedIn, YouTube, etc) - Partner with Sales to understand what's blocking deals and translate that into sharper messaging and better collateral - Take the lead in driving content initiatives, specifically around case studies, video, product updates REQUIREMENTS: - 5+ years of experience in product marketing within developer tools and/or AI. - Strong understanding of the fundamentals of our space - you don’t need to be an engineer, but you should be comfortable communicating technical concepts to engineers - You get we’re marketing to humans (and now their agents). And those people make purchasing decisions. So you’re comfortable jumping between B2C/PLG and an enterprise sales motion - Excellent writing, editing, and communication skills. You have good taste and take pride in doing great work, even on small details - Excel at crafting positioning and messaging that resonates with practitioner and technical buyers alike - Have a track record of successful product launches that drove measurable business impact - Ability to work in-person in a fast-paced, high-growth startup environment
Strategic Account Executive, Life Sciences
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or researc
Staff Machine Learning Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Design, develop, and train advanced machine learning models, including deep neural networks, transformer-based architectures, and reinforcement learning systems, to power large-scale online advertising ranking and optimization platforms. Lead the development and optimization of complex feature representations, including high-dimensional embeddings, contextual and temporal signals, and cross-session user behavior modeling. Drive end-to-end model lifecycle execution, including system architecture design, large-scale experimentation, model deployment, performance monitoring, and iterative infrastructure improvements in production environments. Collaborate closely with product, data, and infrastructure engineering teams to translate business objectives into scalable, statistically rigorous modeling solutions. Conduct advanced experiment design and causal analysis to evaluate model impact and inform strategic decisions. Provide technical leadership and mentorship to machine learning engineers and contribute to organization-wide modeling standards, best practices, and long-term technical strategy. Shape the long-term modeling vision across multiple advertising domains, including conversion optimization, application advertising, shopping, and brand advertising. Full-time telecommuting is an option. Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation. Special Skill Requirements: 1) Python, Java, and Scala; 2) C++, Go, or Rust; 3) major machine learning frameworks and libraries; 4) applied statistics, hypothesis testing and experiment design for online machine learning systems; 5) large-scale data processing and analytics frameworks; 6) deployment and operation of production systems in containerized and distributed environments; 7) Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models; 8) marketplace dynamics, such as real-time bidding (RTB) or pacing control systems; 9) developing and optimizing online advertising systems, including ad ranking, targeting, and market place; 10) providing technical leadership, mentorship, or guidance to other machine learning engineers. Any suitable combination of education, training and/or experience is acceptable. Full
Operations Exploratory
About the Team The Consumer Products team at OpenAI brings groundbreaking AI technology to life through world-class hardware. Our Operations group ensures that every product moves seamlessly from concept to customer — integrating supply chain strategy, manufacturing operations, and quality systems to enable rapid, reliable, and scalable production. We partner closely with engineering, design, and manufacturing teams around the world to deliver exceptional products at launch and beyond. About the Role As an Operations Manager, you will own the execution and strategy that transforms early product concepts into high-quality, manufacturable consumer devices. You’ll lead cross-functional planning, manage vendor relationships, and ensure supply, cost, and schedule alignment across fast-moving hardware programs. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to supplier and manufacturing sites is expected. In this role, you will: - Develop and execute operations strategies that bridge product design and large-scale manufacturing. - Drive build readiness and production planning from prototype through mass production. - Partner with global suppliers to ensure materials, tooling, and capacity meet program goals. - Collaborate with hardware, quality, and supply chain teams to establish and maintain robust operational systems. - Track cost, yield, and schedule performance to ensure efficient and predictable product delivery. - Build scalable processes that support rapid iteration and future product launches. You might thrive in this role if you: - Have 6+ years of experience in hardware operations, manufacturing, or supply chain for consumer electronics or similar industries. - Have successfully taken at least one product from concept through mass production. - Are fluent in NPI processes, contract manufacturing dynamics, and global operations management. - Bring strong analytical and communication skills, with the ability to navigate ambiguity and drive alignment across teams. - Are motivated by building new systems and enjoy working at the intersection of design, engineering, and execution. - Value precision, collaboration, and speed — and are excited to help bring OpenAI’s consumer products to market at scale. 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.
Staff Data Scientist
📍 Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics. In this role, you won't just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability. You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership. What You’ll Do Unified LTV & Reimbursement Modeling - Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money. - Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand. - Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins. Cross-Product Attribution & Portfolio Optimization - Blended Contribution Margin: Optimize "basket composition" and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin. - Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa. - Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention. Causal Inference & Growth Intelligence - Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend. - Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on "sure things" or "lost causes." Strategic Macro-Simulation - Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: "If a major insurance payer shifts an allowable rate
Senior Machine Learning Engineer, Applied AI Model...
Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About the Team & Role The Firefox team is building the next generation of intelligent, privacy-aware experiences for the web. As part of this evolution, we are embedding modern AI and LLM-driven features directly into the browser—empowering users while safeguarding their autonomy and data. We’re looking for a Senior Machine Learning Engineer with a strong focus on applied AI and modern LLM-based applications . You will help conceptualize, prototype, and deploy user-facing experiences grounded in Generative AI , working collaboratively with engineering, design, and product to bring these capabilities to life in Firefox. What You’ll Do - Develop and fine-tune large language models (LLMs) for intelligent, safe, and responsive browser interactions. - Apply retrieval-augmented generation (RAG), summarization, classification, and intent modeling techniques in real-world browser workflows. - Use modern ML tooling (e.g., Hugging Face, LangChain, Weights & Biases, Ray, or similar) to support end-to-end model development , including experimentation, evaluation, and rollout. - Collaborate closely with product and engineering partners to design, iterate, and launch features that align with user needs and Mozilla’s values. - Design and implement experiments to test model behavior in production, analyze results, and iterate based on findings. <
Head of Policy & Security Research Lab
We are seeking a highly experienced, strategic and mission-driven leader to drive the policy research priorities of Scale Labs. This is a unique opportunity to lead a team of research scientists, policy experts and engineers on foundational AI safety and security work. You will: - Own day-to-day responsibilities for the strategy, direction and execution of Scale’s Policy Research Lab - Collaborate with a team of internal researchers, leading research labs across governments, industry, and academia. - Working alongside a team of internal researchers drive initiatives related to frameworks and benchmarks for frontier AI models. - Remain deeply engaged with the policy and research communities to understand and set trends. - Manage and coordinate the lab's projects, partnerships and strategy, including direct work with global AI safety institutes. - Finalize, coordinate, and execute the lab's recruiting plan and research agenda. Ideally you’d have: - 6+ years of relevant academic or work experience - A track record of impactful research and/or policy contributions - Experience leading teams in relevant areas including AI Safety Policy, Thought Leadership and Research publications - Strong written and verbal communication skills for cross-functional collaboration. - Experience building and mentoring teams of research scientists and engineers. - A strong technical and policy background with a deep understanding of the AI safety space. - Extensive knowledge of frontier risk evaluations, AI control, and preparedness research. - Established connections with government partners, particularly AI safety institutes. Nice to have: - Publications at major machine learning/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,000 - $247,000 USD <div class="pay-input"&g
Forward Deployed Engineer, Gov
About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will - Own technical delivery across multiple government deployments, from first prototype to stable production. - Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. - Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. - Proactively guide customers on maximizing business and operational value from their applications. - Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. - Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality. - Contribute directly in the code when clarity or momentum depends on it. - Codify working patterns into tools, playbooks, or building blocks others can use. - Share field feedback with Research and Product to influence model and product development. - Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. - Active TS/SCI clearance or equivalent - Have scoped and delivered complex systems in fast-moving or ambiguous contexts. - Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. - Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. - Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. - Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. - Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. - Are humble, collaborative, and eager to help others with empathy. - Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Customer Success Manager
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.
Technical Docs Writer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re seeking a detail-oriented Technical Docs Writer who can take complex technical concepts and transform them into easily understandable, user-friendly developer documentation. As the company is growing, your contributions will have a significant impact on the way our products are communicated, both in the enterprise and open source community. You’ll work closely with our engineering, product, and customer support teams to produce documentation that supports our developers, customers, and partners. - Product Documentation: Write and maintain user guides, API documentation, technical specifications, and other product-related content. - Collaborate with Teams: Partner with engineers, product managers, and designers to gather information and ensure accurate documentation of features and updates. - Improve Documentation Standards: Help establish and improve documentation processes and best practices across the company. - User-Centered Writing: Write clear, concise, and accurate documentation aimed at various audiences, from developers to non-technical users. Ability to maintain a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules. - Content Review: Edit and review documentation produced by other team members to ensure clarity, accuracy, and consistency. - Continuous Improvement: Continuously update and improve documentation as new product features are developed or existing ones are updated. How to be successful in this role - Experience: 5+ years of experience in technical writing - Writing Skills: Exceptional writing and editing skills with the ability to simplify complex technical concepts. Experience with docs as code. - Technical Knowledge: A basic understanding of software development, APIs, and web technologies. Familiarity with common programming languages and development tools is a plus. - Collaboration: Strong communication skills and the ability to work cross-functionally with engineers, product managers, and other stakeholders. - Tools: Experience with documentation tools such as Markdown, Confluence, GitHub, or similar platforms. Familiarity with version control systems is a plus. - Attention to Detail: High attention to detail, ability to manage multiple tasks, and meet deadlines in a fast-paced, dynamic environment. - Bonus: Experience in a startup environment or at a Series A/B tech company is a plus. Compensation - Annual salary range: $115,000 - $170,000 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
Engineering Site Lead
Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint. The individual in this role will manage teams in LON themselves while also facilitating. Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for buildin
Staff+ Application Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: - Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it - Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks - Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases - Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint - Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: - Hands-on application and infrastructure security experience, including cloud and containerized environments - Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts - Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode - Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec - Clear technical communication with both engineers and leadership Preferred qualifications: - 7+ years in application security, security engineering, or security-focused software engineering - Already use LLMs as a core part of how you work, with opinions about where they help and where they don't&l
Strategic Account Executive, Healthcare
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities - Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers - Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets - Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases - Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota - Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications - 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations - A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases - Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies - Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process - Excellent communication skills, with the ability to present co
Head of Applied AI Architecture, Beneficial Deploy...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences—while shaping how Anthropic's most important societal partnerships are designed and delivered. You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types—from global health foundations to leading research institutions to frontline nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible. In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards. Responsibilities - Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences - Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments—from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure - Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence - Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships - Drive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously - Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure - Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves - Represent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government-adjacent organizations - Travel to partner sites globally for workshops, technical deep dives, and relationship building - Help shape team processes and culture as Beneficial Deploymen
Finance Fellow - Human Frontier Collective (US)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD, Master, BBA in Finance, Economics, or related degrees. - Certifications: CFA or CPA strongly preferred. - Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. - Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. - Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. - Join a Top-Tier Network: Collaborate with a global network
Executive Communications Manager
Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team. If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you. RESPONSIBILITIES - Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy. - Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more. - Develop a unique and authentic voice for our executives and company leaders internally and externally. - Synthesize complex AI-related topics and business strategies into clear narratives internally and externally. - Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages. QUALIFICATIONS - 7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency. - Proven track record of supporting senior executives and managing complex change management initiatives. - World-class writing, editing, and storytelling skills with the ability to capture different executive tones. - Deep familiarity with the rules with an interest in breaking them. - Attention to detail and the ability to execute quickly in a fast-paced environment. - Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.
Research Advisor - Human Frontier Collective (US)
About the Program The Human Frontier Collective (HFC) brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Research Advisor, you’ll apply your academic and professional expertise to help develop strategy, design, evaluate, and interpret advanced generative AI systems – while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You’ll Do - Senior Advisory & Model Governance: Provide elite-level consultancy and leadership on model behavior and domain-specific logic, establishing the benchmarks for professional integrity. - High-Impact Research Collaboration: Influence the technical roadmap by partnering across Scale AI's product, research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation. - Executive Client Engagement: Represent Scale AI and the HFC as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences, - Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry. - Publications: Collaborate with Scale’s research team to co-author technical reports and research papers, boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). - HFC Community: Become a foundational member of HFC; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier of data. Who Should Apply - Ideal Backgrounds Include: - Finance: IB/PE/VC/consulting C-Suite, VPs, or Directors from Bulge Bracket or Elite Boutiques (e.g., Goldman Sachs, Blackstone), Senior Managers, Senior Associates, or Senior Analysts from top-tier firms. - Legal: Partners or Senior Counsel at V100 firms; former SCOTUS/Federal Clerks, and Senior Associates from Big Law with active bar membership - Medical: Board-certified MDs from premier academic hospitals (e.g., Mayo Clinic, Cleveland Clinic). Practicing physicians w/ at least 5 YOE of post-residency experience from premier hospitals. - Professional Experience: 5+ years of relevant industry experience with strong, top-tier domain knowledge. Proven track record of operating at the top of their field and applying deep expertise in high-impact, real-world environments across finance, legal, medical, or related fields. - Educational Background: Based on your specific expertise, we are seeking candidates who hold a bachelor’s, master’s, PhD, MD/DO, or JD degree, coupled with significant clinical, legal, or financial practice experience. - Technical Expertise: Demonstrated research ex
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