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Software Engineer, Backend

Negotiable

ABOUT THE ROLE We are looking for a talented and motivated Backend Engineer to join our team. You will be responsible for building and maintaining scalable, high-performance backend systems that power our products. Collaborating with designers, data scientists, and engineers, you'll play a key role in conceptualizing, designing, and delivering robust and efficient backend solutions. WHAT YOU’LL DO - Design, develop, and maintain scalable backend services that support our applications and infrastructure. - Implement secure and efficient APIs to support frontend applications and third-party integrations. - Optimize system performance, reliability, and scalability through effective architecture and engineering best practices. - Work closely with product managers, data analysts, and frontend engineers to develop backend solutions that align with business and user needs. - Ensure high availability, fault tolerance, and performance of backend systems. - Monitor system health, troubleshoot issues, and implement improvements to enhance efficiency and stability. - Maintain security best practices to protect user data and system integrity. - Stay up to date with industry trends and emerging technologies in backend development and distributed systems. WHO YOU ARE - 5+ years of experience in backend development, building scalable and reliable applications. - Strong proficiency in programming languages such as Python, Java, or Go. Python and Go are preferred. - Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions. - Familiarity with designing and integrating APIs, including REST and GraphQL. - Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure). - Experience with containerization and orchestration tools like Docker and Kubernetes. - Strong problem-solving skills and the ability to optimize system performance and reliability. - Excellent communication skills and the ability to work effectively in a collaborative environment. Preferred Qualifications - Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.). - Knowledge of caching strategies and performance optimization techniques. - Experience working on large-scale, high-traffic applications. - Familiarity with CI/CD pipelines and DevOps best practices. - Exposure to machine learning or data-driven applications. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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Product & Growth Marketer, AI Simulation

Negotiable

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) grounded in physics, chemistry, mathematics, and biology to simulate molecular behavior with scientific precision and accelerate discovery across biopharma, chemicals, advanced materials, and more. The Marketing team embedded within AISim is building the commercial engine to bring these capabilities to market — translating frontier science into clear, compelling stories that drive pipeline and customer engagement. The AISim Marketing team is looking for a Product & Growth Marketer to join our team. This role is central to our efforts to fill a critical gap in product marketing and demand generation, from launch planning and outbound campaigns to case studies, thought leadership, and sales enablement. This is a hands-on role for a builder who can move fluidly between positioning and execution, helping shape messaging, create campaign assets, support product launches, and connect SandboxAQ's AI Simulation offerings to the needs of technical and commercial buyers. This person will: - Own end-to-end product marketing and demand generation execution for the AISim business unit, with minimal oversight - Build the positioning, assets, and programs that establish SandboxAQ as a credible and compelling player in the AI simulation market - Partner closely with product, science, and commercial teams to translate complex technical capabilities into buyer-facing value - Grow into a key commercial function as the AISim business scales KEY RESPONSIBILITIES - Develop and refine product positioning and messaging by persona for AI Simulation offerings, translating technical capabilities into buyer-facing value and maintaining consistency across all go-to-market channels - Create campaign and content assets across the funnel (including outbound emails, webinar copy, launch materials, one-pagers, sales sheets, blog content, and website messaging) to drive awareness and pipeline - Lead product and feature launch planning, including narrative development, proof points, and cross-functional coordination with product, growth, and business development teams - Write and maintain sales enablement materials such as collateral, talking points, battlecards, and objection-handling resources that equip the commercial team to engage buyers effectively - Drive demand generation efforts through outbound email programs, webinars, and nurture content, while contributing to customer proof through case studies, white papers, and thought leadership assets ESSENTIAL SKILLS & EXPERIENCE - 4–8 years of experience across product marketing, growth marketing, demand generation, or content marketing in a B2B technology company - Strong writing skills across multiple formats including outbound email, webinar copy, sales collateral, and product launch content - Demonstrated ability to translate technical or scientific concepts into clear, compelling messaging for externa

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Research Operations Lead, Biology

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring a Research Operations Lead to be the operational backbone of our team: the person who makes sure scientists can walk in every morning and get straight to science. You'll take on the operational systems we've started — procurement, inventory, safety, equipment, space — make them better, and scale them as the lab and its needs grow. We're hiring for trajectory as much as for what you've already done: the scope of this role will grow with the size of the team, and we want someone who's excited by that. This role is a rare opportunity to build the operational foundation of Anthropic's biology team and to grow with it. The systems you put in place will shape how a frontier AI company does experimental biology for years to come. If you're energized by high-ownership operational work in the service of ambitious science, we'd love to hear from you. Key responsibilities - Own day-to-day operations end to end: ordering and inventory, equipment scheduling and upkeep, consumables, shipping and receiving, and general space organization - Build on and extend the operational systems a growing group needs: procurement workflows, inventory and sample tracking, equipment maintenance and calibration schedules, onboarding and training, SOPs - Manage facilities and space: coordinate buildouts, moves, and equipment installs; act as the primary interface to building management, contractors, and Anthropic's central Workplace and IT teams - Own the operating budget: track spend against plan, run the capital equipment purchasing process, and partner with Finance on forecasting and reporting - Manage vendor and supplier relationships: including contract research organizations: source and qualify vendors, negotiate quotes and service contracts, schedule preventive maintenance and field-service visits, and hold suppliers to their commitments Minimum qualifications <li class="font-claude-response-body whitespace-normal break-words pl-2"&g

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Staff Machine Learning Engineer, AI Generation Eng...

Negotiable

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment - Drive technical execution with high autonomy, making critical design and implementation decisions independently ESSENTIAL SKILLS & EXPER

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Applied AI Architect, Partnerships

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - <p&

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Associate Director, CMC Regulatory Affairs

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make - Lead development and implementation of CMC regulatory strategy for small molecule investigational drugs in global Phase 1-3 clinical trials and marketing applications. - Influence the regulatory strategy of Recursion’s development programs by attending team meetings, providing drug substance or drug product recommendations for US, EU and Rest of World (ROW) regulatory requirements/guidance interpretation, and best practices for CMC submissions and meetings. - Strategize , plan, write, manage internal and external contributors and review region specific investigational stage CMC summary submission documents (Module 2, Module 3, IMPD, etc.) and agency requests. - Deliver high quality regulatory US, EU and ROW submissions, strategy and advice. - Support review of investigational product labels, protocols, investigator’s brochure, and other clinical trial materials; GMP inspections as needed. - Assess and identify on an ongoing basis, risk mitigation plans based on current and changing US and Ex-US GMP regulations and guidance. The Team You’ll Join As Manager/Director CMC Regulatory Affairs you will be an essential member of the Recursion Development Team reporting to the Vice President of Regulatory Affairs. The Development Team is an empowered, execution-minded group of development, manufacturing and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. The Experience You’ll Need - Deep technical knowledge of small molecule drug development - BA/BS, MS or PhD in relevant technical discipline; RAC certification preferred, 8+ years’ experience in CMC regulatory (both drug product and drug substance). - Extensive command of worldwide CMC regulatory standards and directives for facilitating clinical research, securing international trial approvals, and life-cycle management - Understanding of US and ex-US regulations, providing strategic advice, and supporting cross functional teams in navigating regulatory requirements and implementing change. US, EU and other Ex- US experience is required. - Assess and manage risks for drug development in all regions as applicable - Demonstration of cross-functional understanding and technical team support related to CMC aspects of drug development. - Managing multiple projects and priorities - Demonstrated track record of authoring and producing high quality INDs, IND amendments, NDAs, meeting packages and achieving timelines. US, EU and other Ex-US submission experience is required. - Excellent verbal and written communication skills Working Location & Compensation: Making SLC or NYC your home base is ideal; however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion

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Distinguished Machine Learning Engineer - Safety

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. You Will: - Own the technical direction and implementation of machine learning solutions for safety-related systems - Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity - Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement - Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness - Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding - Collaborate with cross-functional teams to define and prioritize the machine learning roadmap You Have: - 10+ years of experience delivering and improving large-scale machine learning systems - Proven expertise in creating and launching machine learning models from scratch - Ability to handle data problems, train models with large datasets, and ensure system reliability at scale - Experience with distributed systems, data architecture, and model extraction - Strong programming skills and willingness to be hands-on as necessary - Prior experience in a leadership role with a technical focus, including mentoring engineering teams You Are: - A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas - Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported - Passionate about maintaining deep technical expertise while meeting end-user needs - Knowledgeable about cutting-edge ML technologies, including LLMs - Experienced in NLP or computer vision (preferred) - Familiar with maintaining and evolving safety systems at scale (preferred) </ul&gt

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

Negotiable

About the Role The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload. This foundational, high-impact group is responsible for the full spectrum of storage technologies – relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale. By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible. KEY RESPONSIBILITIES - Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases. - Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents. - Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale. - Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements. - Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations. QUALIFICATIONS - 5+ years of experience building and operating large‑scale backend or infrastructure systems in production. - Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services. - Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads. - Proven track record of owning services end‑to‑end, including design, implementation, deployment, and on‑call. - Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python). - Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

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Sales Manager, Nonprofit & Education, EMEA

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market. This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works. The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously. Role Focus This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include: - Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms. - Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes. - Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale. Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes. Responsibilities - Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic - Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself - Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions - Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus - Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond,

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Head of GTM, AI Inference

Negotiable

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 - New York, US - San Francisco, US About the Role Cloudflare is building one of the most differentiated AI inference platforms in the market. We aren’t building another commoditized GPU-by-the-hour provider, but a globally distributed, serverless inference platform integrated into the world's largest developer ecosystem. We need someone to own the go-to-market strategy for this business. As Head of GTM, AI Inference, you will be the connective tissue between our cutting-edge AI infrastructure, our product teams, and the global market. You'll work directly with Workers AI prospects evaluating Cloudflare as a source of GPU capacity, partner with product leadership to shape how we position and package our inference capabilities, and build the analytical frameworks that help us pursue the right customers and partners -- not just the most obvious ones. This is not a role where you execute a playbook someone else wrote. You'll write the playbook, pressure-test it against real market signals, and rewrite it as the landscape shifts. You'll need to be as comfortable building a financial model for inference unit economics as you are running a strategic sales conversation with an AI-native startup's CTO. Responsibilities Market Strategy & Positioning - Own Cloudflare's GTM strategy for AI inference, defining how we compete beyond the commoditized GPU/hour model that dominates the market - Develop and continuously refine our positioning around Cloudflare's structural advantages: serverless GPU pricing, edge-distributed infrastructure, and integration with the broader developer platform (Workers, R2, D1, Agents SDK) - Identify and size the customer and partner segments where Cloudflare's inference model creates disproportionate value -- and have the discipline to deprioritize segments where it doesn't - Own and drive promotional strategies with key model partners to accelerate the adoption of new models and inference capacity. Strategic Sales & Reve

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Staff AI Engineer - Cloud FinOps

Negotiable

As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure. - Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions. - Develop scalable models and systems for cloud cost attribution across complex shared infrastructure. - Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage. - Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights. - Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning. - Raises team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor. Who You Are: - Experience designing or operating distributed systems at scale. - Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders. - Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences. - Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure. - Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions. - Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. &

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Partner Marketing Manager

Negotiable

Perplexity is revolutionizing how the world gets work done, and we do it alongside some of the most important companies in the world. We are seeking a Partner Marketing Manager to formally build that function from the ground up. You will become the face that some of Perplexity's most important partners rely on, and the person who makes our joint moments land. This is a 0>1 role with executive exposure from day one. It has two sides. You are the relationship owner who partners trust and internal teams turn to, and you are the program manager who keeps every joint launch, event, and campaign on the rails. You'll work directly with teams across comms, product marketing, sales, and product, owning how Perplexity and its partners show up to the world together. If you learn fast, thrive in ambiguity, and build trust with the biggest companies in the world instinctively, this role is for you. RESPONSIBILITIES - Own Perplexity's partner marketing function end to end, from joint strategy through campaign execution and reporting - Build annual joint marketing plans with our most important partners, with committed pipeline and revenue targets, and run the QBR cadence that keeps both sides accountable to them - Ensure Perplexity and our partners are both accountable. Execute, driving joint marketing ideas from concept to shipped and following through so commitments turn into real activity, not slideware - Own the joint value proposition and narrative, crafting the "better together" story so it is aligned across both companies, resonates with buyers, and is mutually beneficial - Execute full-funnel co-marketing with and through partners, including joint webinars, events, ABM, content syndication, email, and digital campaigns - Build partner enablement assets, including co-branded content, solution briefs, pitch decks, joint case studies, and campaign-in-a-box kits, so partner teams can sell and market with us at scale - Coordinate launch moments and joint announcements, amplifying Perplexity product launches and major industry moments through the ecosystem - Instrument measurement and attribution, tracking partner-sourced and partner-influenced pipeline in CRM, and reporting ecosystem impact to leadership. - Align the field, making sure Perplexity sales and Customer Success know about, trust, and activate partner programs so they stick - Act as connective tissue between Partnerships and BD, PMM, Demand Generation, Sales, and Comms, and serve as the primary marketing counterpart to our partners' marketing teams - Maintain strong relationships in partner organizations and Perplexity across diverse organizations WHAT WE'RE LOOKING FOR - 3+ years in B2B marketing, preferably in partner, alliance, or ecosystem marketing - Proven track record running joint go-to-market with technology and ISV partners, cloud providers, or system integrators, and shipping campaigns that generated real pipeline - A closer on accountability, with the operating discipline to build a plan, hold two organizations to it, and drive follow-through when commitments slip - Strong storyteller who can craft a joint narrative that is crisp, differentiated, and credible to buyers and executives on both sides - Full-funnel campaign operator fluent across webinars, events, ABM, content, and digital, comfortable executing hands-on rather than only directing - Analytically rigorous, with experience setting up attribution and reporting partner-sourced and influenced pipeline; comfortable in CRM and revenue operation tools - Excellent relationship builder who can be trusted while representing Perplexity's interests to partners - Autonomous self-starter who thrives in ambiguity, builds the playbook rather than waiting for one, and operates with urgency in a high-growth environment

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General Manager - Mexico

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This is an in-country role. ABOUT THE ROLE We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall country strategy and deliverables, in line with the company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the country. As part of the role, you will: - Develop and execute our Country strategy, including sales, customer delivery, KPI setting and hiring - Design the optimal pipeline to reach our ambitious sales targets in the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market - Hire the founding country team responsible for sales and implementations - Define event priorities and where to invest for brand awareness - Represent ElevenLabs in events and media appearances - Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team - Ideate, own and drive big bets in the country REQUIREMENTS - 15+ years of experience leading teams and highly complex projects - Background in consulting and sales - Deep expertise in deploying technical products and/or solutions to enterprises - Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results - Outstanding communicati

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Staff+ Software Engineer, Financial Fraud

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: - Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints - Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting - Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases - Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number - Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules - Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: - Proficiency in Python, SQL, and data analysis tools - Experience building or operating fraud, risk, or abuse detection systems in production - Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: - 8+ years of industry software engineering experience, with a focus on payments fraud or risk - Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle - Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud - Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes - Experience building hybrid rules-and-ML risk systems: real

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Director, Research - AI Evals

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more — and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship. The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products — blending human evaluation with automated, model-based approaches — along with the product instinct and communication skills to make evaluation genuinely useful. Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma and directly shape the quality of features used by millions of people. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Own AI evaluation methods and operations for Figma's AI-powered experiences — define quality dimensions, design how we measure them, and turn results into decision-ready signal - Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with automated/model-based approaches (e.g., LLM-as-judge) where appropriate - Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a routine part of how AI features are built and shipped - Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions - Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented — and advocate for evaluation as a strategic partner in the product process - Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs We'd love to hear from you if you have: <

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Senior Staff Software Developer, Developer Product...

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company. We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling. We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality. You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software. This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Technical Leadership & Architecture - Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience - Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development - Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms - Leveraging AI to power the next generation development workflow Developer Experience & Productivity - Identify and eliminate friction across the software development lifecycle - Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments - Drive improvements in build systems, test automation, and deployment workflows&l

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Senior Enterprise Account Executive - AI Native an...

Negotiable

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 40% Job ID: 1673 The Role: We are looking for a Senior Quantum Sales Executive who will be part of our US Go-To-Market team whose mission is to bring IonQ’s offering—including Quantum Hardware (Systems and Networks), Software, Applications, and Access—to a curated set of clients, High-Performance Computing (HPC), AI Model Development, and Neocloud providers. This is a Senior individual contributor role with potential to build a team down the road. Responsibilities: - Infrastructure Partnerships: Develop an

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Manager, Machine Learning Engineering (Repayment &...

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment & Recovery machine learning group. Specifically, you will manage a team of ML engineers that builds the models powering the post-origination side of the credit lifecycle using novel ML techniques and rich representations of data to predict repayment behaviour, prioritise and personalise collections, and minimise loss after a loan is originated. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. This role is based in Europe, with openness to candidates in the UK, Poland, or Spain. What you'll do - Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects across repayment, collections, recovery, and loss mitigation. - Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. - Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. - Develop talent by providing feedback and guidance, and leading by example. What We Look For - Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. - A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling — collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar. - Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. - Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. - You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. - This position requires either equivalent practical experience or a Bachelor's degree in a related field. Compensation & Benefits Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 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% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £142,000 - £190,000 Location: UK Remote LI-Remote Affirm is proud to be a remote-first company!

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Senior Software Engineer, Database (SmithDB)

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agenbt traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals. About the role We're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco. What you'll do - Engineer performant Rust code for ingestion and query execution - Optimize for cost and speed, heavily utilizing memory and CPU profiling - Integrate tightly with cloud object stores (S3/GCS/Azure Blob) - Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency) - Contribute to observability for the storage engine itself (metrics, tracing, debug tooling) What you'll bring - 5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use. - Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction - Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes. - Familiarity with similar query execution engines is a plus - Experience with Kubernetes, distributed systems, and cloud object storage is a plus. - Strong fundamentals in networking, OS concepts, and systems debugging. Compensation Salary Range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Senior Tools Programmer, UI & AI Workflows

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other programmers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus This role is open to multiple locations in North America (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limite

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Senior Security Software Engineer, Linux Kernel Se...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Detection Platform team is building the next-generation Linux endpoint security system that protects our AI research and production infrastructure. We're looking for a senior engineer to architect and implement node-layer security sensors, develop kernel-based detection systems for ML workloads, and build tooling that leverages Claude to transform how security operations work. This is a high-ownership role on a small team. You'll design systems that run across our rapidly growing fleet with minimal performance overhead, partner closely with security and infrastructure engineers, and help shape the technical direction of endpoint detection at Anthropic. Key responsibilities - Build kernel-level security detections for our AI platform, including eBPF-based sensors for Linux endpoints - Design and implement scalable data pipelines for ingesting and processing security telemetry across our infrastructure - Architect monitoring solutions for production systems that minimize performance impact on ML workloads - Prototype new security tooling and analytics capabilities, including applications of Claude to detection and response workflows - Partner with security and infrastructure teams to translate requirements into reliable, maintainable systems - Contribute to the growth of the Security team through code reviews, mentorship, and hiring - Participate in an on-call rotation Minimum qualifications - Background in software engineering with a focus on security, infrastructure, Linux internals, and/or operating systems - Ability to write maintainable and secure code in Rust and/or C/C++ - Strong understanding of operating system internals and OS security primitives - Experience with test-driven development and CI/CD workflows - Experience partnering with security teams to translate requirements into technical solutions - Track record of leading technical projects with minimal guidance and bringing clarity to ambiguous problems Preferred qualifications - 7+ years of software engineering experience, with significant time spent on security, infrastructure, or operating systems work - Direct experience with eBPF and kernel-level instrumentation - Experience with detection-as-code workflows - Experience with infrastructure-as-code tools such as Terraform or CloudFormation - Background building security tooling from the ground up - Experience implementing security monitoring solutions (SIEM, log aggregation, EDR) - Background in detection engineering or security operations - Experience with SOAR platform or security automation development - Experience with data lake and database architecture, or query optimization over large datasets - Experience with API design and internal platform development - Track record of applying ML or AI to security proble

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Staff Data Scientist, Consumer

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: - Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention - Influence strategic roadmaps through data-driven insights into user behaviors and needs - Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis - Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions - Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization - Work cross functionally with product, engineering, and design teams to ensure insights make it to the product - Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: - Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research - For M.S. holders: 10+ years of industry experience in applied science or data science roles - For Ph.D. holders: 6+ years of industry experience in applied science or data science roles - Expert knowledge of SQL and relational databases - Familiarity with statistical analysis and the preferred programming languages of the team (R / Python) - Demonstrated ability to influence and guide product str

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Enterprise Solutions Engineer - EU (German Speakin...

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating

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Product Marketing Manager, API

Negotiable

Perplexity is revolutionizing how companies get work done, and increasingly, how developers build the next generation of AI-native products on top of our search and answer infrastructure. We are seeking a Product Marketing Manager, API to join our team and serve as the strategic bridge between our API product reality and market impact. You will architect the external narrative of our developer platform, demonstrate what's possible to build with the Perplexity API, and run the campaigns that drive developer adoption and platform growth. If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you. RESPONSIBILITIES - Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it's for, what it replaces, and why it wins. - Understand developers and shape the platform narrative. Maintain a deep, hands-on view of how developers evaluate and build with AI APIs, and translate that understanding into positioning, demos, reference apps, and use-case showcases that make it obvious what teams can build on the Perplexity API. - Drive API product adoption. Own the metrics that matter for a developer platform, including signups, first successful API call, activation, weekly active developers, and revenue, and build the programs that move them. - Build and manage developer campaigns. Plan and run integrated campaigns across owned channels, paid, social, email, events, hackathons, and partner ecosystems, defining the brief, commissioning assets, and reporting on funnel performance. - Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch. - Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield. - Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype. - Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning. QUALIFICATIONS - 7+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches. - Experience marketing to developers, technical buyers, or an API, SDK, platform, or infrastructure product, with a strong grasp of the developer marketing playbook. - Technical fluency: comfortable reading API docs, running sample code, and credibly discussing tradeoffs like model choice, retrieval quality, latency, and cost with engineers and PMs. - Demonstrated ability to build and manage integrated campaigns end to end, including briefing creative, working with cross-functional partners, and tracking funnel performance. - Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams. - Deep familiarity with the rules of traditional marketing with an interest in breaking them. - World-class storytelling skills grounded in data, with the ability to summarize a product's value in a single sentence and defend it with evidence. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

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Manager, Machine Learning Engineering (Underwritin...

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you’ll do - Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects. - Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. - Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. - Develop talent by providing feedback and guidance, and leading by example. What We Look For - Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. - Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture - You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 13 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 vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally

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Community & Executive Escalations Program Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are seeking an experienced Program Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on social media or arrive through executive channels. You'll be the person actively monitoring public conversations, triaging incoming escalations, opening and managing incidents, and running them to resolution alongside cross-functional partners. You'll help stand up the function from scratch and operate it day-to-day. The ideal candidate combines calm-under-fire judgment with sharp written communication and a bias toward action. Responsibilities: - Own incidents and executive escalations end-to-end during your coverage hours - Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria - Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current - Write clear post-incident reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last - Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases - Spot patterns across escalations and surface them to the right partners (e.g., recurring product bugs masquerading as one-off complaints, messaging gaps that drive avoidable user frustration) You may be a good fit if you have: - 6+ years of experience in community operations, trust & safety operations, escalations, customer support escalations, or a related front-line operations role—ideally at a consumer or developer platform - Direct, hands-on experience running incidents or escalations: you've been the person in the channel paging on-call, coordinating the partners, and writing the post-mortem - Excellent judgment under pressure - Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold - Comfort coordinating across functions in real time and influencing partners without positional authority - Familiarity with social listening tooling and an instinct for how issues spread across public social platforms - A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people - Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate - Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that th

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Senior Staff Machine Learning Engineer, (Machine L...

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with ML Platform, engineering, product, and risk leaders to design, implement, and scale advanced modeling approaches that drive critical decisions across the company. You will elevate our modeling capabilities, influence architectural direction, and ensure our systems can support increasingly sophisticated workloads. You will mentor senior engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. If you are passionate about modern machine learning and excited to drive high-impact innovation across a growing organization, Affirm is the place for you. What you’ll do - You will define and drive multi-year, multi-team technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing the roadmaps of partner teams and platforms. - You will lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex, cross-functional initiatives and ensuring systems remain reliable, extensible, and prepared for increasingly sophisticated modeling workloads. - You will partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, define new opportunities for ML impact, and guide infrastructure evolution required for next-generation ML methods. - You will provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading ML expertise through documentation, talks, and cross-org guidance. - You will drive clarity and alignment on ambiguous, high-stakes technical decisions, resolving cross-team tensions, balancing competing priorities, and exercising judgment optimized for the broader engineering organization. - You will champion operational and system excellence at the area level, owning the long-term health, availability, and evolution of critical ML systems, and ensuring robust testing, monitoring, and reliability practices across teams. What we look for - You have 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems, with a proven record of driving technical innovation and delivering measurable business impact. Relevant PhD can count for up to 2 YOE. - You have experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment. You use distributed frameworks such as Spark, Ray, or similar large-scale data processing systems. - You are proficient in Python and ML frameworks, including PyTorch and XGBoost. You are experienced with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent internal platforms. - You have a strong understanding of representation learning and embedding-ba

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Revenue Partnerships

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Singapore who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will: - Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners. - Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets. - Establish and nurture strong partnerships that drive business growth and create new opportunities. - Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team. - Oversee partner relationships at the regional level while maintaining alignment with global strategies. REQUIREMENTS - At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development. - A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System

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Senior Data Scientist, Matching

Negotiable

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

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Enterprise Community Lead

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Enterprise Community Lead is the owner of Anthropic's enterprise community function: the set of programs that organize the practitioners inside our most important accounts, activate them as internal advocates, and connect them into educational peer communities. You'll define this motion for Anthropic — the portfolio of programs, the operating model, the cross-functional system, the metrics that tie it to the business — with the goal of driving production adoption and usage. You'll join the Community team within Anthropic's Enterprise Marketing organization and own the enterprise community function end to end: strategy, program design, member experience, operations, cross-functional coordination, and measurement. The team operates as a hub-and-spoke model with regional and functional leads; you'll be the functional owner of the enterprise community motion, sitting at the intersection of Sales, Customer Success, GTM, and Product. Key responsibilities - Own the enterprise community strategy: the thesis, the portfolio of programs, the maturity model, and the roadmap from zero to global scale - Bring the playbook from companies that have done this well and adapt it to Anthropic's product portfolio, customer base, and GTM motion - Stand up and scale Claude Champions: identify and recruit power users inside strategic accounts, design recognition give/gets, build vertical cohorts, and operationalize structured Champion-led outputs that measurably drive adoption of Claude Code, Cowork, and future products - Partner closely with AEs and CSMs to build the operating models for champion sourcing, train-the-trainer motions, and account-plan integration. - Run the day-to-day engine for the programs you build: member lifecycle, programming rhythm, platform and chapter structure, and the feedback loops that route learnings, requests, and references back to Product, Marketing, and Sales - Define the measurement framework and reporting that ties community activity to business outcomes: seat activation, usage growth, expansion, retention, reference and advocacy supply - Evaluate, propose, and launch new plays beyond Champions as the function matures: vertical cohorts including in regulated verticals, customer-led groups, practitioner recognition, internal community-of-practice enablement at customer orgs Minimum qualifications - Have built and scaled customer community, champions, or advocacy programs at enterprise SaaS or developer tools companies, and can point to the business outcomes they drove - Have defined the motion, not just executed someone else's playbook: you've taken a company from zero on practitioner community and built the strategy, the operating model, and the team - Bring strong, earned opinions about what makes these programs work, including the give/get structures that keep champions engaged long term - Understand how enterprise GTM works, and are comfortable operating across Sales, Customer Success, Product, and Marketing - Have run cross-functional programs where you don't own most of the inputs and still make them feel cohesive</

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Product Lead, AI

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business. What you’ll do As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact. Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products. Responsibilities - Develop the long-term vision and strategy for our Payments Intelligence products, prioritize accordingly, and create an execution roadmap - Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data - Build and launch new capabilities and products that bring significant value to customers - Set the pace, prioritization and execution for the team - Work with a wide range of systems, processes and technologies to own and solve technical and product problems - Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations - Build and coach your team on best practices in defining product requirements and how to deliver against those requirements and the overall roadmap 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: - Product Management experience: 10+ years of relevant experience - 4+ years of experience managing Product Managers - Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so - Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations

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Software Security Engineering Manager, Secure Fram...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Security Engineering Manager to lead our Secure Frameworks Research team, which builds high-leverage security frameworks and libraries that make model development secure and prevent entire classes of vulnerabilities through careful design. You'll collaborate closely with teams and leaders across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without becoming security experts themselves. Key responsibilities - Design frameworks and libraries that enable secure handling of sensitive data including model weights, customer data, and training datasets - Own what you build completely; ensuring outstanding user experience, proactive monitoring, and responsive support - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond your team - Partner with product, research, and infrastructure teams, as well as other Security teams to ensure frameworks integrate smoothly with lower-layer security controls - Make strategic decisions about which frameworks to build based on security risk and translate into prioritized roadmaps - Define success metrics around framework adoption and impact - the team succeeds when engineers naturally reach for Secure Frameworks' tools rather than building security solutions from scratch - Manage and grow a team of engineers to deliver high-impact projects that balance security rigor with development velocity Minimum qualifications - 3+ years managing security engineering teams with proven track record of team productivity - 5+ years hands-on security and software engineering experience - Deep expertise in securing complex architectures, threat modeling, and risk assessment with ability to evaluate security tradeoffs and make risk-based decisions - Strong cross-functional collaboration skills, balancing security requirements with developer experience and velocity - Clear and persuasive communicator in both writing and verbal settings - Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment - Low ego, high empathy, and have a track record as a talent magnet - Experience working with technical internal customers - Familiarity with AI safety concepts and frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,00

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Lead Counsel, Commercial

Negotiable

Scale is powering the generative AI wave — from the world-class data fueling frontier AI models to the enterprise AI systems that turn breakthroughs into business outcomes for Fortune 500 companies and governments worldwide. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our Legal team works on exciting legal and commercial issues at the leading edge of artificial intelligence, generative AI, and machine learning technology. This role will support our Enterprise business unit by negotiating complex revenue deals with Fortune 500 enterprise companies driving the development of agentic AI applications across industries including healthcare, insurance, financial services, and consumer goods and services. You will join a creative and solutions-oriented team that collaborates internally with teams at Scale and externally with our customers. We are looking for a relentlessly curious, deliberately open-minded, pragmatic, and action-oriented commercial attorney who can negotiate complex agreements and effectively advise on legal risk — all while being a great teammate. This is an individual contributor role with significant scope and visibility that will run deals from end-to-end and help shape Scale's commercial legal function as it scales with the business. If you enjoy solving novel and challenging problems and building strong teams and relationships while doing it, we'd love to hear from you! You will: - Draft, review, and negotiate master services agreements with Fortune 500 and other companies, working closely with our sales, product, and engineering organizations to close revenue deals - Draft, review, and negotiate a wide range of other agreements, including partnership, reseller and vendor agreements as well as data processing agreements - Partner closely with our GTM teams to drive deals and the business forward - Serve as a trusted legal advisor and business accelerator by providing practical legal counsel to sales, product, engineering, and marketing teams - Assess legal risk and advise the business accordingly - Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale Ideally you'd have: - J.D. from an accredited law school and admission to the New York State Bar in good standing - 5+ years of combined law firm and in-house experience with training in commercial agreements - Experience partnering with Sales, guiding negotiation cycles, and closing high-impact revenue deals - Experience drafting and negotiating complex enterprise licensing, services, and data processing agreements - An ability to communicate clearly and concisely with business and technical audiences and effectively translate legal concepts for non-lawyers - A collaborative and low-ego approach to working across the organization, with a "roll-up-your-sleeves" attitude towards tackling novel legal issues - Deep interest in artificial intelligence, machine learning technology, generative AI, and AI applications Nice to haves: - Experience working on IP and technology transactions at a large law firm - Experience advising growth-stage technology companies regarding legal issues related to AI/machine learning and/or generative AI applications - Product or privacy counseling experience

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Machine Learning Engineer

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team’s work from this recent talk . What you’ll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community. Responsibilities Our team operates fluidly and here are some problems you may tackle: - How do we evaluate a system offline & online? - How do we improve performance to match (and beat) humans? - How do we ensure model quality doesn’t degrade online? - Does fine-tuning an LLM give us better performance? - What are the right OSS and in-house platforms we should invest in? And in the process you will: - Develop pipelines and automated processes to train and evaluate models in offline and online environments - Integrate ML models into production systems and ensure their scalability and reliability - Collaborate with product and strategy partners to propose, prioritize, and implement new product features - Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions Who you are We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 3 years of experience shipping ML systems in production - Hold yourself and others to a high bar when working with production systems - Take pride in taking ownership and driving projects to business impact - Thrive in a collaborative environment Preferred qualifications - 5+ years of experience in full time software development roles - Experie

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Growth Account Executive, Startups

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Startup Account Executive at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: • Manage a portfolio of 100+ startup accounts, maintaining high retention and identifying expansion opportunities • Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base • Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate • Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization • Conduct streamlined account health checks and identify early warning signs of churn risk • Partner with customers to understand their business models and product, advising them through their AI transformation, and gathering feedback to inform product development • Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: • 3+ years of experience in sales, account management, customer success, or related roles • Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously • Strong communication skills with ability to build rapport quickly across various customer personas • Analytical mindset with comfort using data to prioritize accounts and identify trends • Enthusiasm for emerging technologies and genuine interest in AI • A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: • Experience with consumption-based or usage-based pricing models • Familiarity with technical products, APIs, or developer-focused solutions • Experience working with startup customers or in a high-growth startup environment • Exposure to AI/ML concepts and applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the s

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Immigration Specialist, M&A

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an M&A Immigration Specialist to lead the immigration strategy behind our corporate transactions. As Anthropic grows through acquisitions and acqui-hires, you'll be the subject-matter expert ensuring that global talent moves seamlessly through every deal — from initial due diligence through close and beyond. You'll serve as the immigration advisor to our Corporate Development, Legal, and People teams, translating complex immigration questions into clear, actionable guidance for non-specialists and designing the integration plans that bring acquired employees onto Anthropic with continuity, certainty, and care. This is a high-trust, high-autonomy role at the intersection of immigration law, corporate transactions, and the employee experience. Key responsibilities - Lead immigration due diligence on prospective acquisitions and acqui-hires: evaluate the visa and green card posture of target workforces, identify portability and successor-in-interest considerations (PERM, I-140, H-1B), and quantify the immigration risk, cost, and timeline implications that inform deal decisions - Serve as the immigration advisor to Corporate Development, Legal, and senior leadership throughout the deal lifecycle, partnering with external counsel on novel or complex transaction-related filings - Design and execute integration plans for transferring foreign nationals, ensuring continuity of status through close, and providing white-glove support so that acquired employees experience a smooth, well-communicated transition - Maintain compliance with domestic and international employer obligations across transaction structures, and own documentation and record-keeping for acquired entities and populations (E-Verify, myUSCIS, and related systems) - Build the playbooks, frameworks, and policies that make M&A immigration repeatable and scalable as Anthropic's transaction volume and international footprint grow Minimum qualifications <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 l

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Enterprise Account Executive, Federal Civilian Sal...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). 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 preferably with DOC & DOI, alongside 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 appl

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Strategy & Operations, Applied AI - AMER

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Applied AI (AAI) is responsible for helping Anthropic's customers go from first contact with Claude to durable, expanding usage — and this team is the strategic and analytical backbone behind that motion. As the Strategy & Operations Business Partner for AAI AMER, you'll work side-by-side with regional field engineering leadership as a deep expert in the business: the metrics, the segments, the deals, and the trends that matter most to driving growth. This is a high-autonomy, high-trust role. You'll partner directly with senior commercial leaders, build frameworks and operating rhythms, and translate ambiguous strategic questions into clear, actionable recommendations — then help carry those recommendations through to execution. You'll be one of the first people in this function, so you should be energized by building processes and structure from the ground up rather than inheriting them. Key Responsibilities - Partner with AAI AMER leadership to build and evolve foundational metrics dashboards, and establish the operating rhythm for ongoing business reviews - Lead the monthly business review process for your assigned segment(s) — from metric gathering through analysis and synthesis for leadership - Partner with central Revenue Operations to define and standardize key metrics across segments as the business grows in complexity - Develop a use case framework grounded in real signal — current CRM data, joining sales calls and pitch clinics, reviewing key customers, and working directly with the AAI team - Build comprehensive segment analyses and strategy recommendations, identifying quick wins and prioritization frameworks, and help kick off the strategic initiatives that follow from approved recommendations - Build strong relationships with regional leaders and act as a trusted, embedded thought partner - Support GTM QBRs and related cross-functional workstreams as needed - Design and implement improved processes for tracking and reporting on team priorities and strategic initiatives, and represent that work to stakeholders across the company Minimum Qualifications - Background in sales strategy, revenue operations, or management consulting, including direct experience in a commercial role (this is broad — presales, customer-facing, partnerships, and founder experience can all qualify) - Strong analytical capabilities with a track record of converting data into actionable, well-supported recommendations - Experience with GTM systems and business intelligence tools - Proven ability to build trust and influence senior stakeholders without direct authority - Experience designing and managing strategic planning processes and business reviews - Bachelor's degree in business, economics, or a related quantitative field, or equivalent practical experience Preferred Qualifications - 10+ years of experience in sales strategy, revenue operations, or management consulting - Experience in high-growth te

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Manager– Growth Sales (AI-Native)

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of 5-10 Account Exexutives, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Ear

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Senior Machine Learning Engineer, Ads Foundational...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: - Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. - Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. - Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. - User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. - LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Senior ML Engineer , you’ll be in charge of the full-cycle execution of ML projects - from collaborating with cross-functional teams on requirements and design, to the implementation of the feature and its experimentation. Responsibilities - Developing new or iterating on existing emb

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Senior Machine Learning Engineer, GenAI Security

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default. We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions. We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining. What You’ll Do - Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals. - Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. - Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit. - Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic. - Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces. - Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops. - Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows. - Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving. - Translate security goals into me

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Engineering Manager - Customer Experience AI

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CXAI Engineering team sits within Coinbase’s Consumer Engagement and Experience (CEE) organization and is reimagining crypto support through generative AI. We build systems that help customers get fast, accurate, and secure resolutions by combining intelligent orchestration, trusted context retrieval, and action across blockchain and app surfaces. We’re hiring an Engineering Manager to lead development of our AI-powered Automated Resolution platform. You will guide a team building across internal LLM-based agents and key third-party integrations, shaping the intelligence layer that understands complex issues, retrieves the right context, and takes meaningful action. What you'll do: - Drive the roadmap for our conversational AI platform, advancing from decision trees to LLM reasoning, RAG, and agentic workflows. - Lead integration of third-party AI solutions while scaling in-house LLM infrastructure for high-stakes crypto support. - Build evaluation frameworks and feedback loops to improve model accuracy, grounding, compliance, and customer outcomes. - Enable secure agent actions for workflows such as transaction troubleshooting and account recovery through internal APIs. - Define technical architecture across vector databases, prompt design, and context management to deliver personalized support. - Own operational excellence across reliability, latency, token cost, and fallback paths to human agents. Required Skills and Experience: - 8+ years of software engineering experience, including 2+ years leading high-performing teams. - Experience shipping products powered by large language models, with strong understanding of prompt engineering, fine-tuning, and the model provider landscape. - Experience building RAG pipelines and managing the data lif

E

Senior AI Programmer

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus This role is open to multiple locations in North America (excluding CA, NY, & WA). ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators acr

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Full-Stack Engineer (Front-End Leaning)

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for Full-Stack engineers to develop and maintain both front-end and back-end components of our product suite. Your general responsibilities will include: - Building and maintaining the front-ends for our platform and products, which are built on top of our cutting-edge voice models and used by millions of users. - High degrees of ownership. You will be responsible for shipping end-to-end features across the front and back ends of our stack, as well as helping set the direction of the features and products you're working on. - Collaborating closely with others on the Engineering, Growth and Sales teams to understand, and design solutions for, our customer and internal team’s most important problems and workflows. We believe in pairing engineers with work that matches their strengths and interests. This means that there is significant flexibility in staffing engineers across the company. Specific responsibilities might include: - Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve making sweeping UX changes, adding significant functionality, or building integrations with other common consumer/enterprise solutions. - Designing & developing clean, intuitive, and functional user interfaces for products that will be used by mil

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Machine Learning Engineer II (Fraud)

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning framework (PyTorch preferred). - Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a vari

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Enterprise Account Executive, DOD/IC

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC 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 DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols - Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments - Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives - Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DOD/IC requirements, including classification levels and air-gapped environments - Create and maintain sales playbooks specific to DOD/IC use cases, procurement processes, and security requirements - Take a leadership role in growing our DOD/IC 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 with proper security protocols You may be a good fit if you have: - 7+ years of enterprise sales experience in the DOD/IC space, with a proven track record of driving adoption of emerging technologies - Deep understanding of DOD/IC agency missions, operational challenges, and technology needs across classification levels - Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments - Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments - Experience navigating complex DOD/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles - Strong track record of exceeding revenue targets in the DOD/IC space - Extensive experience with DOD/IC contracting vehicles, procurement mechanisms, and security compliance requirements - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership - Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security person

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Senior Data Scientist - Family Experience

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. 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

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Staff Software Engineer, Billing Platform

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do - Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. - Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. - Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. - Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. - Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. - Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. - Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. - Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you - Have 8+