Search AI Jobs

R

Associate Director, Regulatory Affairs

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery and development through broadening the funnel of potential targets, using technology and standardization to build connected data, and superlinearly scaling our efforts to accelerate the delivery of high-potential drug candidates to the clinic. We are seeking an Associate Director of Regulatory Affairs who will play a critical role in supporting global regulatory strategy, overseeing processes, and identifying and managing regulatory risks for the assigned programs. Collaborate with cross-functional leads to support the development of regulatory strategies and implementation for all jurisdictions as applicable to the program. Plan and perform critical reviews of documents for consistency and quality, and identify gaps in critical documentation in alignment with the regulatory strategy with the intention of achieving successful registration and lifecycle management of unique products. In this role, you will: - Build intra- and inter-team relationships and collaborate in a global team environment at all levels of the organization to ensure management of regulatory strategy and activities in all applicable regulatory jurisdiction (e.g. EU, US, UK) for the global development of products through all stages of development and post approval. Participate in global product team meetings; provide regulatory support and guidance and manage day-to-day regulatory activities - Manage complex issues and coordinate multiple projects simultaneously in a time-sensitive fashion while practicing sound judgment as it relates to risk assessment (immediate and long term impact on program) - Create and follow procedures for regulatory execution and implementation of regulatory strategies while actively supporting program leads via the Clinical Study Teams (CSTs) to deliver on business objectives for assigned products/programs (e.g. clinical trial applications, marketing authorization applications, orphan drug designation applications, pediatric submissions, etc.). Create, collaborate and comply with disclosure and transparency policies for applicable jurisdictions - Collaborate with strategic operations and other functions (e.g. Clinical, Commercial, Medical Affairs, amongst others) to provide regional regulatory insight for futuristic planning and considerations for the program - Serve , as needed, as the point of contact with relevant Health Authorities and/or lead interactions with such authorities or other relevant external stakeholders - Review and interpret regulatory guidelines and create a communication plan to distribute relevant impact assessment. Creatively think outside the box on how to influence and shape the future of regulatory sciences as it relates to use and validation of unprecedented use of technology to develop drugs effectively for faster paths to patients. - Learn : Keep current with regulations and guidance documents; attend meetings, seminars, conferences on relevant topics; read journals, newsletters, scientific papers; research the answers to RA questions. Represent regulatory function and demonstrate respectful behavior, leadership, ethics and transparency

A

Senior Manager, Corporate Accounting

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 looking for a Corporate Accountant to join Anthropic’s Corporate Accounting Operations team. Reporting to the Director of Accounting Operations, this person will lead a team of accountants while staying hands-on — reviewing and preparing close materials, setting technical standards, and owning their own portfolio of accounts through close. This is a build role. The successful candidate will write and own the policies and SOPs their team operates against, design the controls framework, and continuously improve the processes underneath it — including using Claude and other tools to automate work that doesn’t need to be manual. We are looking for someone who has built accounting infrastructure from scratch in high-growth environments and wants to do it again at one of the most important companies in the world. The role requires an active CPA licence and roughly 10 years of progressive accounting experience combining public company (audit or in-house) exposure with time in a high-growth or startup environment. A Big 4 audit foundation is a strong signal. The role carries direct reports and sits at the intersection of close operations, technical accounting, SOX, process automation, and cross-functional partnership. Key Responsibilities Close Operations (~35%) - Own a portfolio of accounts through month-end and quarter-end close — reconciliations, journal entries, and variance commentary - Drive close acceleration by identifying bottlenecks and implementing process changes that reduce cycle time without sacrificing accuracy - Ensure all close deliverables are consistently audit-ready with clear documentation of positions and supporting evidence - Oversee SOX control preparation and execution across owned accounts; review control evidence and own timely remediation of gaps Technical Accounting & Policy (~20%) - Write, own, and maintain technical accounting policies and SOPs across the domain — drafting, evolving, and operationalising them as the business changes - Review technical accounting memos prepared by the team; ensure conclusions are well-supported and consistent with US GAAP - Collaborate with Technical Accounting on new or evolving standards and translate guidance into executable procedures - Own external audit responses within the domain; ensure timely delivery of supporting schedules and audit-ready workpapers Process Improvement & Automation (~20%) - Identify repetitive, rules-based tasks and build scalable solutions — including leveraging Claude — to automate or replace them - Document workflows and controls in a way that supports knowledge transfer, audit evidence, and system scalability - Contribute to ERP and systems implementations, translating accounting requirements into clear specifications and test criteria Team Leadership & Review (~15%) - Coach and develop a team of highly agile performers wit

R

Senior Counsel, Privacy and Compliance

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make Recursion is currently seeking a Counsel role specializing in data privacy and compliance work to support the expansion of its clinical trials and compliance infrastructure. The role will have the opportunity to maintain and shape a privacy-by-design infrastructure through careful vendor onboarding, data mapping, developing fit-for-purpose policies, and negotiating privacy terms in transactions. The role will also support the growth of the compliance function within the Legal department through careful right-sizing of guidance, implementation, and training as well as close partnerships across functions. The ideal candidate is business-minded, collaborative, and comfortable translating privacy and regulatory requirements into actionable guidance for cross-functional teams. The candidate will be fluent in international data privacy regulations and requirements as well as corporate compliance familiarity with biotech or pharmaceutical companies. The role will collaborate with different groups across the company, with a particular focus on our Clin Tech, Clinical Operations, and Human Resources group. The successful candidate must use a practical, solutions-focused approach to help accelerate the Company’s goals through the compliance function. In this role, you will: Data Privacy - Develop and maintain infrastructure to comply with varying data privacy regulations in Europe and new countries in support of clinical trial plans - Review and negotiate data protection terms, DPAs, vendor agreements, customer agreements, security addenda, and other contracts from a privacy standpoint - Monitor and advise on privacy and compliance developments, including U.S. state privacy laws, GDPR, CCPA/CPRA, sector-specific privacy rules, and emerging AI and cybersecurity requirements - Support incident response, data subject rights requests, privacy impact assessments, transfer impact assessments, and regulatory inquiries - Support vendor onboarding and maintenance for vendors processing personal data - Maintain the company’s Record of Processing Activity - Counsel on privacy-by-design reviews, data mapping, vendor onboarding, AI/data use cases, and new geographical expansions - Draft policies and perform trainings to support data protection compliance Compliance - Assist the Legal team in drafting and implementing corporate compliance policies, training and follow-up - Partner closely with Human Resources and other functions to identify needs for policies or guidance - Collaborate closely with internal stakeholders on creating a “right size” compliance function that enables business growth while protecting against risk The Team You’ll Join You will be joining a dynamic team of attorneys and stock administration professionals. The team works closely and collaboratively with one another on overall legal and compliance strategy, departmental budget, projects, and professional development. The team relies on a communicative and supportive atmosphere to enable nimble advice and prioritization aligned with business goals. The Experience You’ll Need</st

C

Staff ML Risk Analyst

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff ML Risk Analyst on the Growth & Risk team within the Consumer & Business group, you'll sit at the intersection of fraud intelligence and machine learning infrastructure, defining how we identify, model, and respond to sophisticated fraud at scale. Fraud at Coinbase is fast-evolving, with professional, adaptive counterparties that outpace any human response team. You'll build and shape the ML-powered, automated solutions that detect and prevent account takeover (ATO) and scam activity before it reaches our users, setting the technical direction for the ML Analytics function within Growth & Risk. What you'll do: - Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so models can take intelligent, high-accuracy action on the small fraction of traffic where intervention matters most. - Own the end-to-end feature engineering pipeline, identifying, building, validating, and promoting features that drive measurable improvements in ATO and scam ML performance. - Diagnose gaps between current tooling infrastructure and the solutions needed, driving the roadmap to close them by applying deep knowledge of how the ML industry has evolved architecturally. - Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved. - Mentor junior team members across the ML Analytics function, defining the technical approach and translating direction into execution. - Partner cross-functionally with Product Managers and Risk Analysts to surface fraud signals and translate ML findings into business-impacting decisions. Required Skills and Experience: - 8+ years of hands-on experience in machine learning analytics, data science, or a related technical field, with meaningful experience applied to risk, fraud, or payments problems. - Practitioner-level proficiency in Spark, Python, and big data ML as a core working stack, with demonstrated ability to operate beyond SQL and rule-based approaches. - Proven experience in feature engineering for ML models, including identifying signals, building pipelines, and validating feature quality at scale. - Working knowledge of the ML infrastructure landscape evolution, from Hadoop-era big data through modern feature stores (e.g., Tecton, Feast), with the ability to apply that context to close infrastructure gaps. - Demonstrated ability to optimize ML systems for sensitivity and accuracy on high-stakes, low-volume fraud traffic rather than broad-coverage, high-volume

P

Social Media Manager

Negotiable

Perplexity is looking for a Social Media Manager to expand how Perplexity shows up online. You'll run the channels day to day, writing posts, setting strategy, scaling our accounts, and writing for leadership and the team, working closely with our Communications and marketing team, product managers, and engineers. This is a hands-on role. You'll write most of what goes out yourself. Excellent judgement and high taste are required. The role is mostly Instagram with some community initiatives like Reddit, and interacting with our developer audiences. RESPONSIBILITIES - Run social channels day to day. Maintain our brand and product accounts across all channels. This includes writing social copy, planning content, and managing engagement. - Set the social strategy. Decide and execute how we grow each account, what we post where, and how we measure it. - Scale our team accounts. Help employees post in our voice and grow our presence across platforms. - Build and moderate community. Engage on Reddit and in developer communities, and represent Perplexity where our users already are. - Adapt and ship fast. Partner with Comms and marketing, PM’s, founders, and engineers in a fast-paced launch environment. QUALIFICATIONS - 3+ years running social for a brand, ideally tech and AI. - You can write. Send us posts you wrote that performed and tell us why they worked. - Native fluency on Instagram and LinkedIn, with a track record of growing an account. - Demonstrated experience being entrusted with a brand voice - You know how to write for different audiences and platforms, and adjust the voice for each. - Comfortable in a fast launch cycle where the plan changes often NICE TO HAVE - You've run or moderated a developer or technical community. - You've written on behalf of leadership or other voices. - You follow AI closely and have opinions on how the best companies show up online.

A

Senior Manager, Revenue Accounting, Order Manageme...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking an experienced Order Management & Billing professional to join our Revenue Accounting Team. In this pivotal role, you'll spearhead the development and scaling of our order management processes while solving complex, cross-functional challenges. You'll collaborate across the organization to drive critical financial infrastructure improvements. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems. Responsibilities Core Operations & Financial Management - Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness - Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non-standard pricing structures - Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics - Develop and track operational metrics to support strategic decision-making - Support global business operations and international customer requirements Strategic Partnerships & Collaboration - Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR & Collections - Cultivate strategic partnerships with cross-functional teams across the Quote-to-Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems Process & System Optimization - Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience - Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions - Independently own the end-to-end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration Compliance, Controls & Documentation - Establish and maintain robust controls and segregation of duties within order management and billing operations - Support audit requirements by preparing documentation and addressing inquiries - Develop and maintain documentation for team processes and procedures You may be a good fit if you have - Bachelor's degree in Accounting, Finance, or related field - 7+ years of progressive experience in Billing/Order Management within high-growth SaaS/technology companies, including 5+ years in a reviewer role - Working knowledge o

A

Startup Partnerships - France & Southern Europe

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 looking for a builder-minded Startup Partnerships lead to drive the adoption of Claude within the vibrant French and Southern European startup ecosystem. This is a 0-to-1 opportunity - you’ll be designing and executing innovative programs that enable startups to access and build with Claude across France, and expanding reach into Southern European markets (Spain, Italy, and beyond). You will partner directly with leading French VCs, accelerators, and top startup customers to scale Anthropic’s reach and impact. You’ll define how Anthropic engages with one of Europe’s fastest-growing AI ecosystems and become a trusted AI advisor to founders and the VC community. Paris has emerged as a major European AI hub - home to leading AI labs and a dense concentration of AI-native startups and this role will put you at the centre of it. This role is for builders — someone founders see as a peer and trusted technical partner, not a traditional partnerships hire. You’ll be hands-on with data, building your own dashboards, and shaping strategy through rigorous analysis. What You'll Do: Drive Net New Logo Acquisition Through Developer Enablement - Develop and execute Anthropic’s startup GTM strategy for France and Southern Europe, identifying and prioritising top AI-native startups and building tiered engagement programmes that balance personalisation with scale. - Build strategic partnerships with leading French VCs - including Lightspeed, Partech, Elaia, Eurazeo, Serena Capital, Breega, and Singular - that drive portfolio engagement. Design and launch strategic programmes with tier-1 VCs, own relationships end-to-end, negotiate partnership terms, and create exclusive benefits for portfolio companies. - Create compelling startup-focused offerings, pricing models, and growth initiatives in partnership with French accelerators and entrepreneurial communities such as Station F, La French Tech, BPI France, and Agoranov. - Build and maintain your own analytics infrastructure - design Hex dashboards, write SQL queries, and use data to drive programme optimisation and measure ROI. - Drive cross-functional coordination: Lead internal collaboration across Product, Engineering, Finance, Sales, and Corporate Development to ensure alignment on activation and penetration of accounts across the French startup ecosystem. Ecosystem Events & Community Building - In partnership with marketing, design and execute targeted events including builder summits, founder salons, hackathons, and demo days in Paris and other key French tech hubs (Paris, Milan, Lyon, Toulouse, Bordeaux). - Champion Anthropic at flagship French and European events such as VivaTech, France Digitale Day, France is AI, and Web Summit to deepen ecosystem visibility. - Partner with French accelerators and incubators including Station F, Wilco, The Family alumni network, and BPI France’s acceleration programmes to identify and engage th

S

Technical Program Manager, Public Sector

Negotiable

Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives. Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions You will: - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Lead a cross-functional team to exceed the customer’s AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Strategically identify ways we can make customer success repeatable and solve issues for future customers - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance (Full Scope Polygraph is a nice to have) - 3+ years of experience succeeding in stakeholder management or customer-facing role - A technical background (education or professional experience with CS, Economics, Statistics, Engineering) - A deep understanding of ML operations process - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel at least 25% of the time (50% travel is a nice to have) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience at an API technology company and / or managing technical customers using an API - Proficiency in Python, SQL or other programming languages <div class="content-pay-transparency

S

Senior Data Scientist, Marketing

Negotiable

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely)’s mission is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively strong and business-oriented Senior Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth. This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory. Responsibilities - Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems. - Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals. - Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc. - Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited. - Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments. - Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods. Direct Marketing - Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources. - Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns. - Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy. Analytics Infrastructure & Workflow Efficiency - Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics. - Ensure data quality, documentation, and consistency across marketing data pipelines. - Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation. - Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders. - Contribute to responsible and thoughtful adoption of AI-powered analytics tools. Qualifications - 3-6 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). - Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM). - Familiarity with core performance metric

P

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

Negotiable

Perplexity AI is looking for experienced Generalist Software Engineers to join our Comet and Perplexity native application teams. Our team is reshaping knowledge work through our high-impact Comet and Computer native apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Chromium, Rust, Kotlin, Swift, Typescript and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

R

Senior Machine Learning Engineer, Ads Content Unde...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Ads Content Understanding (ACU) owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: - The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources). - Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics. - Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations. - Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs. - Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Senior Machine Learning Engineer (IC4) who will act as a key contributor to the Content Understanding roadmap for the Monetization org. This is not a research scientist or pure DS role; success is defined by robust, shipped systems and monetization impact. The ideal candidate is a pragmatic engineer with strong software engineering fundamentals and solid ML intuition—not a pure research scientist. This is an Applied MLE role, requiring someone who can evaluate when to leverage hosted LLMs versus custom models, help scale content understanding to new modalities (e.g., video), and drive practical ML solutions that deliver business impact. Responsibilities: - Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. - Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. - Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices.&n

R

Senior Staff ML Engineer, Search & Recommendation

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 Search Recommendations & Relevance team at Reddit is building the next generation of search - one that goes beyond “10 blue links” to deliver real answers, perspectives and conversation from the world's largest corpus of human conversation. We power both Reddit Search and our AI-native Search experience, redefining how users discover and interact with information. Redditors produce the most amazing content about every niche topic in the world – this underleveraged data coupled with modern advances in AI systems is presenting a unique opportunity to quickly build a new kind of search engine. As a Senior Staff, you will design and build a large-scale system that powers end-to-end search relevance at scale. You’ll work across multiple areas of the stack, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, RAG etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Search scale to billions of users. What You’ll Do - Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience. - Deeply understand the Reddit search product and drive the vision for the search relevance team. - Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. - Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges. - Mentor and guide senior and staff engineers in the team. - Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap Who You Are - 10+ years of industry experience with deep expertise in large-scale search and recommendation systems. - Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in search relevance. - Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow. - Experience working with LLM in production, including evaluation, tuning and deployment. &lt

L

Senior Backend Engineer, LangSmith Deployments

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production. ABOUT THE ROLE We're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments. WHAT YOU'LL DO We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred. - Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure - Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution - Collaborate on architectural decisions, ensuring solutions are scalable and robust. - Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state - Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy - Participate in on-call rotations and own incident response for the runtime - Create and maintain technical documentation, including system design and operational runbooks. - Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications WHAT YOU'LL BRING - 4+ years of professional backend engineering experience - Strong proficiency in Go and/or python - Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration - Experience with scaling and sharding databases in high throughput environments - Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform - Strong communication skills and ability to work cross-functionally on a small team - Annual salary range: $175,000-$240,00 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

E

Enterprise Demand Generation

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 hiring an Integrated Marketer to turn our core positioning into full campaigns that move the Eleven Agent pipeline. You'll partner closely with product marketing to take the narrative out of decks and docs and carry it into market - across ads, email, webinars, events, and content - focused on two to three of our top industry verticals. WHAT YOU'LL DO - Build integrated campaigns end-to-end for two to three priority verticals, from concept through channel execution. - Turn product marketing's positioning into campaign assets: ads, emails, webinars, landing pages, and outbound sequences SDRs can use. - Partner with product marketing, paid media, and sales to keep messaging consistent across every channel. - Own pipeline and conversion for your assigned industries, and report clearly on what's working and what isn't. - Keep the creative pipeline full: brief and ship new ad creative, webinar content, and nurture flows on a regular cadence. REQUIREMENTS We're more focused on hiring for potential - rather than past experience - but the ideal candidate will come with a track record of building multi-channel campaigns that generate real pipeline. - At least 3 years in B2B demand generation, integrated marketing, or campaigns, ideally at a high-growth software or AI company. - Experience running campaigns across paid, email, webinar, and events tha

A

Staff+ Software Engineer, Safeguards Review Toolin...

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 Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: as one of the first engineers on this new team, you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signal back into model training. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities - Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows - Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely - Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows - Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error - Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features such as content obfuscation and exposure limits - Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications - A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions - Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably - Experience working cross-func

E

Account Manager Lead - North America - Enterprise

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 the Enterprise Account Manager Lead, you'll lead a team of experienced Account Managers across one of our largest customer segments. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. This is a revenue-critical role at an inflection point: ElevenLabs is scaling fast, and the decisions you make around how we segment, structure, and execute our Enterprise post-sales motion will define how we grow. You'll also lead your team through a genuine transformation in how work gets done - one where AI agents, automation, and intelligent tooling reshape every workflow, and where making ElevenAgents the agent of choice for our customers is a core part of the expansion playbook. You will: - Lead, coach, and develop a high-performing Enterprise Account Management team, owning team quota performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Drive revenue outcomes as a core mandate - building a team culture where cross-sells and account growth are owned with the same rigor as any quota-carrying sales function. - Lead by example in complex post-sales and rene

P

Creator & Influencer Marketing Lead

Negotiable

Perplexity is looking for a Creator & Influencer Marketing Lead to build, own, and scale our entire creator and influencer marketing function. In this multifaceted, senior role you will define the strategy in line with our company priorities, then own the execution of massive campaigns spanning 100+ creators and multi-million-dollar budgets. You will be a storyteller with genuine taste who differentiates Perplexity's products through thoughtful, sophisticated content, paired with a performance marketing mindset that ties creator work directly to our most important business outcomes. This role is ideal for an autonomous, high-output operator who wants to own and grow an entire function and amplify Perplexity's product launch velocity. RESPONSIBILITIES - Lead Perplexity's creator and influencer marketing function end to end, from strategy through execution - Own execution of large-scale campaigns spanning 100+ creators, multiple channels, and multi-million-dollar budgets - Own creator contracting and negotiation for one-off campaigns and long term partnerships - Maximize the impact of Perplexity product launches by deploying the right creator mix, budget, and channels for each moment - Bring a performance marketing mindset to creator work, partnering with Growth to drive conversion and engagement, not just impressions - Push creators' work from good to great, providing the direction and candid feedback that elevates every piece - Review creator "builds" made with Perplexity Computer to ensure they are sophisticated, original, and effectively showcase the product’s impressive capabilities - Turn creators into a genuine community and long-term advocates through creator dinners, events, and in-person moments - Build a creative engine that extends your capacity through contractors, agencies, and usage of Perplexity Computer - Work cross-functionally with Growth, Product, Business, and Comms, acting as the connective tissue between creator marketing and the broader company QUALIFICATIONS - Minimum 5 years in creator/influencer or performance marketing, including time leading the function or building it from the ground up - Operated successfully in high-flux, high-growth environments where priorities shift quickly with the industry - Well-rounded operator who combines strategic sense, storytelling taste, and high execution velocity - Autonomous self-starter and high performer who thrives with ambiguity and builds the playbook rather than waiting for one - Track record of evaluating creator performance holistically, looking beyond impressions and engagement to tie creator work to hard business outcomes, with the analytical rigor to cut what isn't working and double down on what is - Strong creative judgment and editorial taste, with the product fluency to tell whether content and builds are genuinely sophisticated and original - Skilled, value-driven negotiator with a desire to win great deals while keeping creator relationships healthy - An existing network of creator and agency relationships, with fluency across Instagram, LinkedIn, X, and YouTube - Hands-on experience building tools / solutions with AI - Experience working with consumer technology products

A

Startup Partnerships - India

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 looking for a builder-minded Startup Partnerships lead to drive the adoption of Claude within India's dynamic and rapidly scaling startup ecosystem. This is a 0-to-1 opportunity — you'll be designing and executing innovative programs that enable startups to access and build with Claude across India's major tech hubs, from Bengaluru and Mumbai to Delhi-NCR, Hyderabad, and Pune. You will partner directly with leading Indian VCs, accelerators, and top startup customers to scale Anthropic's reach and impact. You'll define how Anthropic engages with one of the world's fastest-growing AI ecosystems and become a trusted AI advisor to founders and the VC community. India has emerged as a major global AI hub — home to a rapidly expanding cohort of AI-native startups, deep engineering talent, and world-class technical founders, and this role will put you at the centre of it. This role is for builders — someone founders see as a peer and trusted technical partner, not a traditional partnerships hire. You'll be hands-on with data, building your own dashboards, and shaping strategy through rigorous analysis. What You'll Do Drive Net New Logo Acquisition Through Developer Enablement - Develop and execute Anthropic's startup GTM strategy for India, identifying and prioritising top AI-native startups and building tiered engagement programmes that balance personalisation with scale. - Build strategic partnerships with leading Indian VCs that drive portfolio engagement. Design and launch strategic programmes with tier-1 VCs, own relationships end-to-end, negotiate partnership terms, and create exclusive benefits for portfolio companies. - Create compelling startup-focused offerings, pricing models, and growth initiatives in partnership with Indian accelerators and entrepreneurial communities - Build and maintain your own analytics infrastructure — design Hex dashboards, write SQL queries, and use data to drive programme optimisation and measure ROI. - Drive cross-functional coordination: Lead internal collaboration across Product, Engineering, Finance, Sales, and Corporate Development to ensure alignment on activation and penetration of accounts across the Indian startup ecosystem. Ecosystem Events & Community Building - In partnership with marketing, design and execute targeted events including builder summits, founder salons, hackathons, and demo days across key Indian tech hubs (Bengaluru, Mumbai, Delhi-NCR, Hyderabad, Pune, Chennai). - Partner with Indian accelerators and incubators to identify and engage the next wave of AI builders. - Build local developer communities around Claude through meetups, technical workshops, and content creation tailored to India's diverse and technically sophisticated builder community. VC & Ecosystem Partner Management &

P

Design Systems Lead

Negotiable

ABOUT THE ROLE We're seeking a Design Systems Lead with extensive experience owning design systems at large organizations. You'll bootstrap an intuitive semantic token system that supports design and product teams across multiple platforms and frameworks - the foundation that keeps Perplexity's product coherent as we scale. This is a true 50/50 design-engineer role. You'll live primarily in GitHub, where you own the system's repo, while staying fluent in Figma so design and engineering never drift apart. You'll set the bar for visual quality and the technical standards that let feature teams move fast without fragmenting the experience. You'll work at the intersection of design and engineering, partnering with product feature teams across mobile, web, and React surfaces. WHAT YOU'LL DO - Bootstrap and own an intuitive semantic token system that works across multiple platforms and frameworks - Own the design system repo on GitHub: the source of truth for components, tokens, and standards, including versioning, release management, and a clear changelog - Set and uphold a high bar for visual design quality across every surface the system touches - Navigate the nuanced differences between mobile, web, and React UI best practices, and encode them into the system - Define and run the contribution model and governance: review and shepherd inbound contributions from product feature teams, keeping quality and consistency high as the system grows - Keep design and engineering in sync, bridging Figma and code so the system stays coherent end-to-end - Own clear, first-class documentation so teams can adopt components and tokens on their own, and drive adoption across the org through onboarding, office hours, and hands-on support - Bake in accessibility (WCAG) and theming (including dark mode) as defaults, not afterthoughts - Maintain a system roadmap, balancing net-new work, migrations, and deprecations against feature-team needs - Bring new AI tooling into the design systems workflow and help shape how we build systems in an AI-native way - Operate with autonomy in a fast-moving, ambiguous environment WHAT WE'RE LOOKING FOR - Extensive experience owning design systems at large organizations - A true 50/50 design-engineer, equally credible in visual craft and in code - An impeccable eye for visual design - Deep understanding of the nuanced differences between mobile, web, and React UI best practices - Strong product sensibilities to help evaluate and integrate contributions from various product feature teams - Fluency in Figma, but primarily living in GitHub where you own the repo - Experience designing and maintaining semantic design tokens and scalable component APIs - A track record of driving adoption through excellent documentation and cross-functional partnership - Working knowledge of accessibility standards (WCAG) and how to build them into a system - Readiness to work with new AI tooling and genuine comfort with ambiguity NICE TO HAVE - Experience building a semantic token system from scratch across multiple platforms - A track record scaling a design system through a period of fast org growth - Experience defining contribution models and governance for multi-team design systems - Familiarity with component tooling and documentation platforms (e.g., Storybook) - Experience mentoring designers and engineers and growing a design systems practice

R

Director, Clinical Science

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery by integrating automated cell biology, high-dimensional and diverse datasets, and sophisticated analytics. We are seeking a Director-level Clinical Scientist who can oversee all clinical aspects of a clinical trial(s). This would include: planning and authoring clinical deliverables (protocols, amendments, medical monitoring plans, annual reports, study-specific updates, CSRs); routine medical monitoring; site interactions/correspondence re: patient eligibility and treatment inquiries; and presentations, both internal and external. As an Associate Director within Clinical Science, you’ll play a critical role in ensuring study protocols are executed appropriately and that the study data is both appropriate and pristine. On a daily basis, you will interact cross-functionally with multiple disciplines supporting the Study Team (Clinical Operations, Medical Director, CMC, Data Management, CROs, CRAs, Investigative Sites, etc). You’ll be responsible for reviewing and cleaning/querying pertinent data points, identifying trends or inconsistencies with the data, and serving as the face of the study to Investigative Sites. You can expect to work on multiple early-phase projects at the same time in a fast-paced and exciting environment where the ability to multi-task and rapidly re-organize thoughts and priorities will be essential. In this role, you will: - Create – Serve as the authoring lead on multiple clinical documents. Recursion is moving away from the use of Medical Writers and relying more heavily on the Clinical Scientist and Medical Director to author IND and study-specific documents. While this will not refer to manuals, it does encompass Clinical documents and site/agency interactions. - Collaborate - Work with highly dynamic teams where your role will range from leading and owning decisions or timelines to being a key contributor whose experience and insight are relied upon to advance the task at hand. - Drive & Deliver – You will be primarily responsible for the quality of your study data. This will include reviewing (Medical Monitoring); issuing, reviewing, and closing queries; reviewing TLFs, summarizing data throughout the trial, and presenting the data to management when requested. You will also be required to present the protocol procedures and Site Initiation Visits both in-person and virtually. - Prioritize – Given the nature of Recursion, you will be required to support multiple early-phase (1-2) studies simultaneously. This will require time management and organizational skills. The Team You’ll Join Reporting to the Vice President, Clinical Science, you’ll be joining the Clinical Science Team within Clinical Development. This group is ultimately responsible for shepherding an experimental drug from IND through Dose Finding, Proof of Concept, and possibly Registration studies. Clinical Science consists of a high-performing team of extremely motivated individuals who work independently, interact cross-functionally with many contributing departments, and are capable of multitasking to expeditiously execute cutting-edge clinical trials. The Experience You’ll Need - 5-7+ y

A

Technical Program Manager, API 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's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture. Responsibilities - Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution - Run multiple large programs simultaneously across infrastructure, networking, and the API layer - Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end - Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view - Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence You may be a good fit if you - Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs - Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them - Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost - Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably <div class="des

E

Account Executive - Productions - Europe

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 ElevenProductions is the premium audio services arm of ElevenLabs that uses human-in-the-loop production workflows to deliver high-quality localization, audiobooks, custom voices, advertising creative, and more to customers across media, broadcasting, publishing, and gaming. ElevenProductions is powered by a network of 500+ professionals across 15 language teams that combine industry expertise with a deep knowledge of AI tools. We are looking for enterprise Account Executives to drive ElevenProductions growth across Europe. You will work closely with Hollywood studios, TV networks, Big 5 book publishers, AAA gaming studios, and more to expand our service provider footprint and bring real-world use cases of ElevenLabs technology to life. IN THIS ROLE YOU WILL: 1. Build and manage a growing portfolio of new accounts across Media & Entertainment, publishing, and other industries adopting services powered by AI audio at scale. 2. Develop and execute strategies to expand ElevenLabs’ service provider footprint presence within key accounts 3. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 4. Serve as a trusted advisor to customers in how they adopt and deploy ElevenLabs technology at scale REQUIREMENTS 1. 7+ years of quota‑carrying technology sales experience, ideally in Media & Ent

C

Principal Research Engineer, Post-Training

Negotiable

About the Role and Team As a Principal Research Engineer on the Post-Training team, you will drive the technical vision, execution, and evolution of the systems that transform foundation models into intelligent, engaging, and aligned products. Specifically, your team focuses on post-training of top-tier OSS LLMs (such as Mistral and Qwen) to power the highly immersive role-playing chat features of Character.AI http://Character.AI. You will lead initiatives spanning data, algorithms, infrastructure, and evaluation, helping define how our models learn from feedback and improve over time. This is a highly cross-functional role that combines deep technical expertise with organizational leadership. You will partner closely with researchers, engineers, product teams, and infrastructure teams to identify the highest-leverage opportunities for improving model performance and user experience. Your work will directly shape the conversational experiences of millions of users every day. At Character.AI http://Character.AI, you will have the opportunity to influence both the direction of our research and the systems that bring it into production, helping build the next generation of AI entertainment. What You'll Do - Technical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability. You will mentor and grow a team of researchers and engineers through technical guidance, design reviews, and career development. Establish best practices for experimentation, model development, and deployment. - Research & Model Development: Lead the development of alignment algorithms, optimization techniques, and training objectives to improve model capabilities and data efficiency. Drive advances in mid- and post-training methodologies including reinforcement learning, preference optimization, supervised fine-tuning, and emerging alignment approaches. Identify and execute high-impact research opportunities that improve model behavior, safety, and user engagement. Develop robust evaluation frameworks and quality signals to measure real-world model performance. - Systems & Infrastructure: Lead the design of efficient training and inference systems for large-scale generative models. Architect scalable data pipelines that transform diverse data sources into high-quality training datasets. Partner with infrastructure teams to optimize distributed training, GPU utilization, and serving efficiency. Drive improvements in experimentation platforms, data quality systems, and model observability. Who You Are (Required Qualifications) - PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent industry experience. - Significant experience leading technical projects or teams in machine learning, AI research, or large-scale distributed systems. Experience scaling and mentoring high-performing research and engineering teams. - Deep understanding of modern machine learning techniques, including transformers, reinforcement learning, alignment methods, and large language models. - Strong track record of delivering impactful research or applied ML systems in production environments. - Expertise in designing, building, and maintaining production-quality ML systems and infrastructure. - Experience training, serving, debugging, and optimizing large-scale models on GPU-based systems. - Experience leading teams working on large language model training, mid-training, or post-training. - Experience with product experimentation, online evaluation, and A/B testing frameworks. - Strong software engineering skills with the ability to write clean, maintainable, and scalable code. - Excellent communication skills and the ability to influence technical direction across teams. Lead complex, cross-functional initiatives across data, training infrastructure, evaluation, and model serving. Nice to Have - Hands-on experience working directly with open-sourc

S

University Recruiter, Contract

Negotiable

About the role: - We are looking for a talented and experienced University Recruiter, Contractor based in San Francisco to join our team and participate in the hiring process from beginning to end. You’ll be working directly with our hiring partners, recruiters and candidates to create a personal and positive recruiting experience. You will: - Support Scale’s University Recruiting strategy: assist with the hiring process for our Internship and New Grad programs. - Manage the full-cycle recruiting strategy and process including, but not limited to, sourcing, screening, interview process, closing and more. - Understand what makes a great profile for our University roles and drive strategic sourcing and candidate engagement strategies to build strong and diverse pools of candidates. - Cultivate relationships with students across partnered universities and develop positive relationships with faculty, staff, and student organizations as part of a well-researched recruiting strategy. - Collaborate closely with various leaders across the organization in understanding and meeting their intern and new grad hiring needs. - Work from the San Francisco office 3x per week. You have: - 4+ years of full-cycle university recruiting experience in a fast-paced, high-growth environment, managing high-volume hiring. - Experience in managing/leading all aspects of recruiting strategy for hard-to-fill, competitive positions. - Passionate about campus recruiting and strong believer in bringing early career talent to Scale. - Excellent verbal and written communication skills. - Excellent negotiation tactics, and market knowledge. - You have the ability to work with multiple departments, including remote teams, and build strong personal networks across our complex organization. - Proven ability in attracting and sourcing both passive and active candidates (aka future graduates) across Bachelors, Masters, and PhD programs. - Utilizing data to perform analysis, garner insights, and set goals. - A flexible, adaptive approach: you can shift to changing priorities. - Located in the Bay Area, can commute 3x per week to the San Francisco office. Ideally you have: - SWE & ML recruiting experience at all levels including, Bachelors, Masters and PhDs. - Experience using Greenhouse ATS and/or Gem. - Ability to thrive in a fast-paced, dynamic startup environment. For pay transparency purposes, the hourly rate for this contract position in San Francisco is $70-$75 per hour. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst <em&g

A

Incident Response Manager, Enforcement

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 Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As the Incident Response Manager, you'll own the operational backbone of how Safeguards responds when things need attention fast. You'll run our on-call program, drive the automation that lets a small team cover a growing surface area, and manage the sensitive cross-functional escalations that cut across Policy, Legal, Safeguards, Product, and Comms. This role calls for someone who has managed scaled escalations and can build durable processes that hold up in fast-moving moments. It requires discernment, close coordination with cross-functional partners during high-stakes situations, and the ability to translate learnings from incidents into improvements to our safety systems. Key responsibilities On-call program ownership - Own the Enforcement On-Call program end-to-end: rotations, coverage models, and escalation paths - Establish and maintain on-call documentation, runbooks, and SOPs so that anyone stepping into the rotation has what they need to act quickly and consistently - Triage tooling issues affecting on-call operations and drive them to resolution with engineering partners - Report out regularly on inbound volume, response metrics, trend lines, and staffing needs to inform long-term investment Cross-functional escalations - Serve as the primary point of contact for sensitive enforcement escalations that require cross-functional coordination across Policy, Legal, Safeguards, Product, and Comms - Absorb information from multiple inputs quickly, frame the decision cleanly, and communicate clear updates, recommendations, and trade-offs to both operational and executive audiences - Drive processes that keep teams aligned and moving during fast-changing situations, including sensitive investigations, product mitigations, and coordinated responses - Manage escalation pathways to law enforcement and NCMEC based on established referral criteria, and track referral volume and trends over time Automation & program maturity - Identify the right repetitive operational work in the on-call and escalations pipeline and partner with engineering to automate it - Expand and mature our rapid response toolkit through hands-on investment in new tools, playbook development, and team adoption - Build dashboards and reporting that give the team and leadership a clear view of enforcement operational health - Continuously improve documentation, quality, and consistency as the program scales Minimum qualifications - <p&gt

P

Business Development Representative

Negotiable

WHAT YOU’LL DO Drive Revenue & Qualify Opportunities - Balance dual inbound and outbound responsibilities to drive pipeline growth - Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff - Execute targeted outbound campaigns to penetrate specific industry verticals Strategic Outbound & Market Development - Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects - Research and map accounts within assigned verticals to build comprehensive prospect lists - Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise - Contribute to top of funnel strategy Sales Operations & Excellence - Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented - Respond rapidly to inbound inquiries with consultative, value-driven communication - Build and iterate on outbound sequences that drive consistent pipeline generation What You'll Need Core competencies - Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders - Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges - Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle - Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level - Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs) - Data-driven approach to tracking conversion rates, response times, and pipeline metrics - Intellectual curiosity about how AI and advanced search transform enterprise workflows - Ability to thrive in a fast-paced environment where processes are still being defined Nice to Haves - 9 months to two years in SaaS sales development or business development roles - Experience selling to technical and non-technical buyers - Familiarity with enterprise AI/ML solutions or search technologies - Track record of consistently achieving 100%+ of quota - Pulling data with Salesforce Reporting, SQL or Business intelligence tools - Bachelor's degree or equivalent practical experience - Experience at a high-growth technology startup

C

Staff Machine Learning Engineer(Platform - Identit...

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 . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: - Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. - Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. - Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. - Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users. - Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design. Required Skills and Experience: - 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production. - Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs. - Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure. - Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: <strong&g

R

Director, Clinical Pharmacology

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. - Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external st

A

Customer Success Manager, Higher Education

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic as a Customer Success Manager supporting our Higher Education initiatives. In this role, you’ll apply customer success practices to higher education institutions. Anthropic’s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organizations across education, public health, life sciences, economic mobility, and more. As a dedicated Customer Success Manager, you’ll be the strategic partner and trusted advisor to universities - helping them harness Claude’s full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact. You'll develop genuine partnerships with education institutions gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your education expertise, business acumen, and technical knowledge, you'll serve as a strategic advisor throughout their journey—helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique constraints of institutions and education organizations. You'll help universities scale their AI usage safely and effectively, implementing change management strategies and driving toward impact for students, faculty, and administrators. Responsibilities: - Build and maintain strategic relationships with key university decision-makers while serving as the primary point of contact between universities and Anthropic, navigating complex academic stakeholder ecosystems including faculty, administrators, IT departments, and procurement offices. - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Monitor usage patterns and proactively drive adoption—identifying optimization opportunities, addressing underutilization across consumption-based (API) and seat-based products, and discovering new applications for Claude across departments and workflows - Develop and execute change management strategies appropriate for universities, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects education institutions constraints and decision-making processes - Create and maintain enablement resources —identifying opportunities to develop scalable assets that drive efficiency across the partner portfolio - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs - Identify and create opportunities for thought leadership and community activation, developing 1:many engagement programs such as webinars, cohort-based learning, and peer networking that extend impact beyond individual partner relationships - Design initiatives that showcase impactful use cases

E

People Operations

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 People Operations, you will play a vital role in ensuring smooth onboarding, offboarding, and ongoing support for employees. Your responsibilities will encompass a range of tasks including policy documentation, administrative support and fostering a positive workplace culture. - Facilitate all People Operations functions, such as benefit administration, visa-related requests, policy updates etc. - Ensure accurate and up-to-date employee data across our HRIS (HiBob) and global payroll platform (Deel). - Manage the full employee life-cycle, including onboarding, internal operations, offboarding and employee experience. - Continuously improve and automate People processes to enhance efficiency and scalability. REQUIREMENTS We do not require any formal experience, certifications or degrees. Instead we are seeking enthusiastic, proactive individuals who can showcase working in a fast-paced environment, solving multiple problems. We do require: - Strong interpersonal skills, and a getting-things-done mindset. - Excellent verbal and written communication skills that demonstrate a high level of professionalism. - Highly organised and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat. Bonus Experience: - 1-3 years experience within HR/People Operations/Administration, preferably at a high-growth technology

E

Revenue Partnerships - Middle East

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 Middle East 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 Syste

E

Adoption Strategist - LATAM

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAge

A

Manager, Commercial Counsel, GTM

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives. This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups. - Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Manage a team to support enterprise technology and startups segments - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies Minimum qualifications - JD and active membership in at least one U.S. state bar - Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions - Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals - Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders Preferred qualifications - 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions - Active membership in the California state bar - Experience leading legal teams through high-growth phases at technology companies - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - A collaborative, low-ego approach to working with colleagues and external partners - A "doer" attitude—willingness to roll up your sleeves and pitch in where needed- - Comfort in fast-paced envir

P

Recruiting Coordinator

Negotiable

We're looking for a dynamic, highly organized Recruiting Coordinator to help us scale our team without ever compromising on experience. This is a high-velocity role at the heart of our hiring engine. You'll keep dozens of moving parts in sync, bring order to ambiguity, and make every candidate and hiring partner feel like they're our only priority. If you thrive when the path isn't fully mapped out, move fast without dropping details, and genuinely care about how people are treated, you'll do great here. WHAT YOU'LL DO - Own the end-to-end candidate experience, making every interaction from first touch to final decision, feel seamless, human, and high-touch - Coordinate and schedule interviews across complex calendars, time zones, and competing priorities, keeping things moving at speed - Serve as a trusted partner to recruiters, interviewers, and hiring managers, anticipating needs, communicating proactively, and making their jobs easier - Operate independently in ambiguity: spot gaps, make judgment calls, and create structure where none exists yet - Identify, initiate, and drive projects that improve and scale our recruiting processes as the team grows - Manage logistics, administrative tasks, and ad-hoc recruiting support with accuracy and urgency - Continuously look for ways to raise the bar on both the external candidate experience and the internal stakeholder experience WHAT YOU BRING - 2–4 years of experience as a Recruiting Coordinator, ideally in a fast-paced or high-growth environment - Comfort operating in ambiguity. You take initiative, make decisions with incomplete information, and don't wait to be told what to do - A natural high-velocity operator who moves quickly without sacrificing accuracy or attention to detail - Exceptional organizational skills and the ability to juggle multiple priorities simultaneously without losing the thread - Strong verbal and written communication skills, with proactive, clear, and warm follow-through - Ability to work independently and collaboratively, adapting fast in a rapidly changing startup environment - Proficiency with various ATSs (Ashby preferred)

R

Senior Security Engineer, AI 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 . About The Role Reddit is a community of communities. It is built on shared interests, passion, and trust and is home to some of the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. Reddit is hiring a Senior Security Engineer, AI Security to help teams build and ship AI-powered products securely. This role combines product security judgment with hands-on engineering to secure the systems, tools, and workflows behind Reddit's AI efforts. You will review AI-powered product designs, threat model LLM and agentic workflows, and build reusable security primitives that make secure AI development easier for teams across Reddit. This is not an MLE role, but you should be comfortable reasoning about how AI systems fail, how agents use tools, and how security controls fit into inference, retrieval, tool-use, and execution paths. The best candidates combine practical application security judgment with strong builder instincts. They can identify risks before launch, then turn repeated findings into guardrails, scanners, registries, sandboxes, libraries, policy checks, or platform controls that scale beyond one product team. What You'll Do - Review and threat model AI-powered product features, LLM integrations, agentic workflows, MCP servers, tools, plugins, retrieval systems, model outputs, and internal AI tools before launch. - Build reusable AI security primitives such as guardrails, scanners, policy checks, tool-use controls, registries, sandboxes, libraries, and workflow-native enforcement points. - Design security tooling that can sit in the inference, retrieval, or execution path to detect and prevent prompt injection, jailbreaks, tool misuse, data leakage, unsafe code generation, and suspicious agent behavior. - Partner with teams building products and platforms with AI to define practical security controls that fit how they design, build, and ship. - Proactively find, fix, and prevent AI security issues, while making any required product or engineering changes clear and low-friction for partner teams. - Turn one-off AI security issues into systemic fixes, paved paths, measurable controls, and reusable guidance. What We're Looking For - 5+ years of experience in product security, application security, software security, security engineering, backend engineering, or security platform engineering. - Strong application sec

R

Senior Machine Learning Systems Engineer, Ranking...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, ML Ranking Platform is the brain behind how millions of people discover content every day. ML Ranking Platform powers 40+ Reddit products including home feed, search, subreddit feeds, push notifications and others. It runs a scatter-gather ranking orchestration service that coordinates contextualized and personalized ranking on Reddit. We provide Product Engineers and ML Modeling Engineers with a platform to develop the ranking, recommendation and personalization products to delight, engage and retain Reddit users. How You'll Have Impact As a Senior Software Engineer, ML Ranking Platform , you will design, implement and maintain highly robust, scalable, reliable and performant ranking systems that power personalized feeds, search, and other products at Reddit scale. You’ll drive and deliver high-impact projects, building the ranking engines that orchestrate workflows for a reliable and performant ML-based system. Your work not only powers Reddit feeds; it’ll also shape how communities connect, grow, and thrive across Reddit! - Design and implement the next generation ML ranking system that powers the personalized feeds, search and other products at Reddit - Design and develop ML and Generative AI systems in cloud-based production environments at scale - Partner closely with Product, Infrastructure and Engineering teams and translate requirements into scalable ML systems - Write efficient, scalable and maintainable code that will help us iterate quickly and safely - Champion and drive engineering processes and best practices - Raise the bar for engineering across the team through code reviews, mentorship and knowledge sharing Who You Might Have: - 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language - 5+ years of experience with designing and implementing large-scale performant and reliable machine learning systems. Experience with recommendation systems is preferred. - Experience with developing and improving tools such as deployment, automation, system diagnosis, ML monitoring etc. - Strong organizational skills with the ability to prioritize tasks and keep projects on schedule with a strong attention to detail - BS degree in Computer Science, a similar technical field of study or equivalent practical experience - Fa

A

Product Manager, GTM Experiences

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 Product Manager in the Internal Products and Technologies organization, you'll partner with Engineering, GTM, Deal Desk, Finance, Legal, and Operations to build and scale the commercial systems behind Anthropic's revenue motion: - We own GTM commercial infrastructure - CPQ, quoting and pricing configuration, approval workflows, and deal automation. - Your work touches every deal that flows through Anthropic: enterprise quotes, approvals, order forms, and cloud marketplace transactions. - You'll drive strategy and execution for how sales teams quote, approve, and close deals at scale, balancing seller experience and rigorous governance. Responsibilities - Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and where tooling can make them faster and more reliable. - Partner with engineering to design the systems underpinning quoting, approvals, and deal execution. - Drive product strategy and roadmap across CPQ, approvals, and deal automation. - Synthesize competing stakeholder needs across GTM, Finance, and Legal and communicate prioritization clearly to senior leadership. Strong candidates may have - Built or scaled CPQ, quoting, or approval-workflow systems supporting complex enterprise deals. - Salesforce/CPQ and quote-to-cash knowledge, including how quoting connects to billing and provisioning. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We

P

Sales Systems Engineer, Enterprise Operations

Negotiable

About Perplexity Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship. The Role We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack. You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business. This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices. What You Will Own - CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails. - Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL. - Data orchestration: Polytomic, Hightouch, and Workato pipelines that move data across Snowflake, Salesforce, NetSuite, Apollo, Unify, and the rest of the stack. Own SLAs, monitoring, and breakage response. - Salesforce engineering: Flows, validation rules, formula fields, custom objects, Apex when needed, Lightning page configuration, permission sets, sandbox management. - Integrations: API-level integration work across our GTM tools. Build custom connectors when off-the-shelf does not cut it. - Routing and ownership: Account routing logic, opportunity assignment rules, territory management, ROE enforcement. - Reporting infrastructure: Snowflake models that power pipeline, forecast, comp, and exec reporting. Partner with Analytics on the visualization layer. What We Are Looking For - 5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company - Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing model, Apex if needed - Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation - Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic. - Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale) - Comfort with REST APIs, webhooks, and scripting in Python or JavaScript - A bias for building. You have shipped custom solutions when the vendor option was wrong. - Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests. Nice to Have - Familiarity with PLG-to-enterprise motion and scoring users into accounts - Experience with Apollo, Unify, Loops, Gatsby, Momentum, Floqer, or similar GTM tools - NetSuite or Metronome billing exposure - Comp plan tooling (Everstage, CaptivateIQ, QuotaPath) - Background in entity resolution, dedup, or domain enrichment How We Work - Build over buy when it earns its keep - Snowflake is the source of truth, Salesforce is the system of action - Live data over polling - Real people own accounts, never queues - Direct, fast, low-process. We delete and resend over debate. What Success Looks Like - 90 days: You own CPQ, scoring, and orchestration. Nothing breaks silently. Sellers know who to call. - 180 days: Quote-to-cash is clean. Scoring drives real routing decisions. Snowflake-Salesforce sync is boring. - 12 months: You have replaced two vendors with custom builds, shipped the next generation of our scoring system, and ma

R

Staff Machine Learning Systems Engineer, Embedding...

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 Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale. How You'll Have Impact As a Staff Machine Learning Engineer , you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities. What You’ll Do - Architect and lead the development of next-generation, large-scale machine learning techniques. - Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit. - Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production. - Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments. - Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput. - Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems. - Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing. - Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge. - Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making. Who You Might Be: - 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.&l

A

Director, Compute Infrastructure Procurement Opera...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking a Director of Compute Infrastructure Procurement Operations to build and lead the function responsible for how Anthropic procures, tracks, and governs its compute infrastructure assets at scale. This is a function-building role within the Finance org. You will own supplier strategy, cost optimization, and category management for one of the largest and most complex capital procurement portfolios in AI. You will simultaneously operationalize three enterprise-scale initiatives: a multi-entity procurement structure spanning domestic and international jurisdictions, a compliance-critical Asset Lifecycle Management program and procurement operations for Anthropic data center sites across the US with international expansion underway. This role reports directly to the Head of Procurement and serves as the senior procurement leader embedded with Infrastructure Accounting, Finance, Tax, Legal, and DC Operations. You are building the team, the playbooks, and the systems that will govern billions of dollars in compute infrastructure spend. Responsibilities Supplier Strategy & Cost Optimization - Own key supplier relationships across compute hardware (networking, storage, racks, power infrastructure) and negotiate pricing frameworks, and volume commitments - Establish playbooks and sourcing strategies for hyperscale infrastructure procurement - Drive material savings through partnering with strategic sourcing teams within the Data Center Design and Ops teams, vendor consolidation, and commercial optimization across a multi-billion dollar spend portfolio - Support contract negotiations and understand the liabilities and obligations with compute vendors Data Center Entity Operationalization - Operationalize new entity for tax-optimized procurement of data center and infrastructure equipment - Stand up international procurement operations as local entities are formed. Manage vendor contracting party transitions, contract novation/repapering, local vendor onboarding, KYC, and VAT/GST registration - Partner with Tax and Legal on entity structure decisions, ensuring procurement workflows align with the interim-to-permanent entity transition framework Asset Lifecycle Management - Serve as Procurement’s DRI on ALM implementation (Steerco and OpCo), owning the Asset Taxonomy and Zip/Three-Way Match workstreams and implementing with the business - Drive PO data remediation (unit price, quantity, MPN) and configure PO item types to enable automated three-way match (PO ↔ receipt ↔ invoice) at serial-number granularity - Enforce ASN compliance as a contractual condition on all new POs; standardize shipping terms across vendor contracts - Ensure procurement controls meet all audit requirements Data Center Expansion & Operations - Lead finance procurement operations for domestic data center sites and internati

P

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

Negotiable

Perplexity AI is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

S

Operations Program Manager

Negotiable

Scale is looking for an Operations Program Manager (OPM) to drive system-level improvements, operational performance, and structural reliability across the region. In this role, you will act as both a systems owner and escalation authority—ensuring support workflows are scalable, efficient, and aligned with global standards while adapting to local operational needs. As our operations continue to expand, this role will be critical in identifying root causes, implementing durable fixes, and driving measurable improvements in key performance metrics. You will serve as the bridge between frontline execution and system design, ensuring consistency, stability, and continuous improvement across regional operations. You will be part of a highly collaborative and impact-driven team, working closely with Team Leads, SMEs, Product, Engineering, and Operations stakeholders. This role is ideal for someone who thrives in ambiguity, enjoys solving complex operational challenges, and is relentless in driving high-quality outcomes at scale. You will: - Identify recurring issue patterns and structural inefficiencies across the region - Lead retrospectives on operational breakdowns and implement durable, system-level fixes - Act as the escalation partner for complex and high-risk regional cases - Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates - Track and measure the impact of operational changes and interventions - Influence SOPs, macros, and documentation to improve clarity and reduce ambiguity - Partner with Enablement to build scalable regional training programs - Act as a regional training lead to reinforce workflows, policies, and quality standards - Collaborate with Product, Engineering, and Operations to drive tooling and workflow improvements - Translate frontline insights into clear, actionable requirements for system enhancements - Identify risks within workflows and implement safeguards to improve consistency and reliability - Strengthen auditability and operational defensibility across the region Ideally you’d have: - Experience in operations, program management, or process improvement roles in high-volume environments - Strong analytical and problem-solving skills with a systems-thinking mindset - Experience leading cross-functional initiatives and driving measurable outcomes - Ability to identify root causes and implement scalable, long-term solutions - Strong communication skills across technical and non-technical stakeholders - Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics Nice to haves: - Experience in support operations, trust & safety, or platform operations - Familiarity with workflow tools (e.g., Zendesk or similar systems) - Experience building SOPs, training programs, or documentation frameworks - <p&gt

S

Solutions Architect, 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 AI Solutions Architecture team is a group of specialists with a deep understanding of Stripe's products that partners with AI users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. SAs on this team leverage their expertise in the broader subscription, billing, and payments industry to influence revenue growth across Stripe’s product portfolio, and collaborate with sales, support, product management, and Stripe’s executive team to provide the best experience to our most valued customers. What you’ll do As an AI Solutions Architect, you'll be a key technical advisor driving the adoption of Stripe's product solutions among top AI companies. You'll collaborate with cross-functional teams to ensure successful implementations and shape our product roadmap to meet the unique needs of AI businesses. Your role will involve developing innovative billing strategies, engaging with AI founders and technical stakeholders, and positioning Stripe as the go-to monetization partner in the AI ecosystem. You'll have the opportunity to influence the future of AI commerce, tackling complex challenges at a global scale in a dynamic, collaborative environment. Your work will be instrumental in establishing Stripe as the leader in AI monetization infrastructure, driving innovation in the rapidly evolving AI industry. Responsibilities - AI-Specific Technical Expertise : Become the go-to expert on payments and monetization strategies for AI companies, including real-time metering for APIs, agents, and workflows. - Custom Solution Development : Architect innovative solutions that address the unique needs of AI businesses, often working with experimental and evolving pricing models. - Product Influence : Work closely with product and engineering teams to rapidly close key product gaps and shape the roadmap based on AI company needs. - Strategic Partnership : Collaborate with AEs to engage deeply with AI founders and technical stakeholders, positioning Stripe as a strategic partner in their monetization journey. - Thought Leadership : Contribute to shifting Stripe's brand perception among AI founders and builders through technical demonstrations, hackathons, and meetups. - Implementation Support : Work directly with Professional Services, Partners and Product teams to ensure successful implementation and activation of core payments, Stripe Billing and usage-based billing for AI clients. - Competitive Intelligence : Stay informed about alternative solutions in the market and develop strategies to position Stripe's offerings effectively. - Cross-functional Leadership : Act as a bridge between sales, product, engineering, and marketing teams, ensuring alignment on AI-specif

D

Senior Software Engineer - Bits AI SRE

Negotiable

We're a new team building AI-assisted product experiences that help Datadog customers go from investigation to action, by enabling conversational workflows, guided remediations, and codefixes that address the root cause of production issues. We're looking for a product-minded engineer to help us quickly define and ship applied AI experiences across chat, remediations, and codefixes. This role sits at the intersection of backend engineering, product development, and prompt engineering, with a strong emphasis on building reliable, production-quality AI systems. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Work closely with product managers, designers, and engineers to build and iterate on AI-powered product experiences in Bits AI SRE. - Develop customer-facing systems across chat, remediations, and codefixes that help users resolve production issues more quickly. - Work on prompts, evaluation loops, and backend systems to make applied AI workflows reliable, useful, and production-ready. - Prototype quickly, test what works in the real world, and iterate rapidly to ship new product capabilities. - Build the infrastructure and product logic needed to connect AI outputs to meaningful actions, including operational remediations and generated code changes. - Collaborate with partner teams across Datadog to expand remediation capabilities and integrate with systems that support investigation, automation, and code generation. - Follow the latest developments in LLM prompting, agent design, and applied AI product development, and bring strong judgment about what is practical to use in production. Who You Are: - You're an engineer with at least 5 years of professional experience, with strong backend engineering skills and a product mindset. You have experience building production systems in Go (or similar) and have worked with LLM-based systems in practice. - You are excited about applied AI and motivated by building product experiences that help users take meaningful action, not just generate insights. - You have experience with prompt engineering, evaluation, and iteration for LLM-powered systems, and know how to improve quality through experimentation and feedback. - You have strong engineering fundamentals and can build the systems needed to productionize AI features, including integrating model behavior into reliable user-facing products. - You are comfortable operating in a fast-moving environment with high ambiguity, and enjoy prototyping, learning quickly, and shipping early versions of new ideas. - You collaborate well with cross-functional partners and can work effectively with product, design, and engineering to shape both the user experience and the technical implementation. - You care about product quality and user outcomes, and can balance speed with pragmatism when building new AI-powered workflows. - Bonus: you have experience with Kubernetes or systems related to production remediation and operational automation. - Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. - Plus - You’re motivated to push the boundaries of how AI can

A

Technical Program Manager, Recruiting Technology

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 growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer. We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress. You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting. This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org. Responsibilities - Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line - Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end - Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy - Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively - Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them - Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly - Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority - Have technical depth in systems integration: APIs, data flows between

S

AI Product Manager, Professional Services

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 Global Transformation Team is a small, high-leverage team with a global remit. We lead the programs that transform how ProServ works, so our users realize the full value of Stripe faster. That means making ProServ AI-native, building one prescriptive methodology that scales worldwide, and creating the knowledge systems that make every engagement smarter than the last. We care about craft, consistency, and landing change, not just shipping it. Everything we build is global by default, AI-native by design, and built to stick. If we do this well, the model we prove here becomes the blueprint for how Stripe transforms itself everywhere. What you’ll do As AI Product Manager for ProServ, you will own the roadmap that makes ProServ AI-native — sitting at the intersection of AI strategy, engineering execution, and organisational change. You will operate with significant autonomy and a high degree of ambiguity. The ability to influence without authority, build momentum x-geo, and translate strategic intent into real-world delivery is essential. Own the AI product roadmap for ProServ - Deeply understand the needs of ProServ users by spending time with our teams, observing patterns across their feedback, and interrogating our data. We are users first, every roadmap decision should trace back to making their experience better - Translate this into an AI strategy including a prioritised, executable product roadmap - Work closely with the ProServ leadership team to align roadmap decisions with broader transformation objectives - Track progress, surface blockers, and maintain momentum across concurrent workstreams Coordinate a global community of SMEs - Manage and motivate a distributed network of contributing engineers and consultants (who do not report directly to you) across all geographies contributing to AI initiatives. This requires you to collaborate egolessly - Structure their contributions into meaningful, well-scoped work streams with clear ownership and outcomes - Identify opportunities to leverage existing Product investments in AI rather than building from scratch Drive AI execution and adoption - Work with the team to ensure new AI tools and capabilities are adopted globally - Develop frameworks and playbooks that help ProServ teams embed AI into their day-to-day - Surface insights from the field back into the product roadmap - You default to action. You move with urgency and focus. You'd rather ship something imperfect and iterate than wait for perfect alignment Govern and Communicate AI Initiatives - Prepare and present updates to the AI SteerCo including the global Head of ProServ - Maintain clear documentatio

O

Industrial Security CSSO/CPSO - San Francisco

$126,000 – $175,000

About the Team The Industrial Security team enables OpenAI’s classified and national security work by building secure, compliant programs that support government customers and protect sensitive information. Within Industrial Security, the Personnel Security function ensures employees have the clearances, accesses, briefings, and government approvals required to support classified programs. We work closely with employees, program teams, government customers, and partners across Security, People, Recruiting, Legal, IT, and Facilities to make complex security processes accurate, timely, and understandable. About the Role As a Personnel Security Specialist, you will own the day-to-day personnel security operations that allow OpenAI employees to support classified government work. You will manage clearance and access requests, maintain government-system records, coordinate visits and briefings, support onboarding and offboarding, and guide employees through sensitive security requirements with discretion and care. We’re looking for a hands-on security professional who can independently manage a high-volume operational queue, keep cases and records organized, recognize when issues require escalation, and improve the processes behind the work. This role offers the opportunity to help build a modern personnel security function that supports important national security programs while delivering a thoughtful, responsive employee experience. This role is based in San Francisco, CA, or Washington, DC. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Additional onsite presence and occasional travel may be required based on classified program and government customer needs. In this role, you will: - Own the daily personnel security workload from intake through completion, including clearance verification, access nominations, visit requests, onboarding, offboarding, briefings, and reporting actions. - Process and track personnel eligibility, classified access, indoctrinations, debriefings, customer approvals, and other program-specific security requirements. - Maintain accurate, current, and audit-ready records in DISS, NBIS/eApp, NISS, internal tracking systems, and other applicable government or customer platforms. - Guide employees through security forms, clearance and access requirements, required briefings, and reportable events while protecting sensitive personal information. - Coordinate personnel security actions with government security representatives, customer security offices, program teams, and internal partners across Security, People, Recruiting, Legal, and IT. - Prepare and manage visit authorization requests, security access requests, and related customer access packages, including CAC, NIPR, SIPR, and SAAR documentation when applicable. - Identify discrepancies, aging cases, missing documentation, potential security concerns, and reportable information, escalating sensitive or complex issues promptly and appropriately. - Maintain clear visibility into case ownership, status, deadlines, next steps, and government or customer dependencies. - Develop and improve checklists, standard operating procedures, templates, metrics, and workflows that reduce backlog, manual effort, and missed handoffs. - Support self-inspections, customer reviews, recurring reporting, and broader efforts to build a scalable, reliable personnel security program. You might thrive in this role if you: - Have hands-on personnel security experience supporting a cleared defense contractor, Intelligence Community organization, federal customer, or comparable classified environment. - Have directly managed clearance verification, access processing, indoctrinations, debriefings, visit requests, security briefings, and onboarding or offboarding for cleared personnel. - Have working experience with DISS and NBIS/eApp; familiarity with NISS, SWFT, Scattered Castles, or customer-specific security systems is a plus. - Understand the NISPOM, applicable Security Executive Agent Directives, and government or customer personnel security requirements. - Are highly organized and can manage competing priorities, sensitive records, recurring deadlines, and a high-volume case queue without losing accuracy. - Communicate clearly and respectfully, particularly when explaining complex requirements or supporting employees through sensitive and sometimes frustrating processes. - Demonstrate discretion with personal information and sound judgment about when to involve security leadership, Legal, People, or government security officials. - Look for practical ways to improve operational reliability through documentation, metrics, templates, and approved AI tools, agents, and automations, while protecting sensitive information and preserving required human review and security judgment. - Have experience supporting SCI or SAP access, customer-specific nominations, visit authorization requests, or related access packages. - Hold active Top Secret eligibility and current SCI access, and can obtain and maintain any customer-required polygraph or additional access approvals. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

A

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. À propos d’Anthropic La mission d’Anthropic est de créer des systèmes d’IA fiables, interprétables et orientables. Nous voulons que l'IA soit sûre et bénéfique pour nos utilisateurs et pour la société dans son ensemble. Notre équipe est composée de chercheurs, d'ingénieurs, d'experts politiques et de chefs d'entreprise engagés qui travaillent ensemble pour créer des systèmes d'IA bénéfiques. À propos du poste En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme. Responsabilités : - Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes. - Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement - Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions. - Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires. Pr