Demand Generation Lead

About Chai DiscoveryChai Discovery is at the forefront of innovative medical research, operating as an applied research lab dedicated to redefining the future of healthcare. Our cutting-edge product is a comprehensive design suite for molecular development, powered by our advanced AI models. We empower scientists to create drugs with unparalleled accuracy, paving the way for improved healthcare solutions.Founded by pioneers in the field, we have successfully secured $230 million in funding from esteemed investors, including Thrive, General Catalyst, OpenAI, and Dimension. Our collaborations with global life sciences leaders, such as Eli Lilly, highlight our commitment to transformative partnerships, evidenced by their substantial, multi-year commitments to our platform.Renowned for our exceptional talent density, rigorous research methodologies, and swift execution, Chai Discovery is where innovation meets opportunity.About the RoleWe are seeking an operationally adept scientist or a tech-savvy project manager to spearhead our experimental data generation initiatives at Chai. This pivotal role involves setting a strategic vision for scaling our lab-in-the-loop data platform and collaborating with external research partners and CROs while working closely with our scientific teams.In this position, you will play a crucial role in harnessing data to train our state-of-the-art AI models, test scientific hypotheses, and support our partners. This is a unique opportunity to push the boundaries of drug discovery and engage with some of the most sophisticated AI technologies in the biotechnology sector.About YouOur ideal candidate is an execution-focused professional who thrives under pressure and possesses exceptional communication and analytical skills. You will:Design and manage complex projects and workflows, leveraging relationships across multiple stakeholders.Translate scientific objectives into clear, actionable instructions for CROs, including assays, deliverables, success criteria, SOWs, timelines, and sample tracking.Balance multiple projects and priorities, rapidly adapting to changes while maintaining team alignment.Communicate highly technical information effectively to various audiences.Envision and implement strategies to significantly enhance our data generation capabilities.Mindset:You possess an insatiable drive to explore what’s possible and a relentless commitment to solving real-world challenges through rapid iteration. Experience in startup environments or similarly fast-paced settings is highly valued.

Scale AI is seeking a dedicated Quality Lead to guarantee exceptional data quality across our innovative Generative AI initiatives. In this pivotal role, you'll collaborate closely with Scale's Delivery teams to streamline the Quality Team's operations, ensuring that our clients receive only the highest standard of data. Your Responsibilities:Lead and nurture teams of quality control auditors to achieve excellence.Work in partnership with delivery teams to analyze and enhance customer requirements.Manage daily operations, including workload distribution and reporting insights.Implement and maintain scalable best practices to enhance performance.Initiate projects aimed at boosting quality, efficiency, and customer satisfaction.

Join worldlabs as a Research Engineer focused on scaling multimodal data. In this dynamic role, you will leverage cutting-edge technologies and methodologies to enhance data processing capabilities. You will be responsible for developing innovative solutions that integrate various data types and drive impactful research outcomes.

Artificial Intelligence is revolutionizing every aspect of our lives. At Scale AI, we are dedicated to accelerating the advancement of AI applications across industries. For nearly a decade, we have established ourselves as a premier AI data foundry, powering groundbreaking innovations in AI, including generative AI, defense systems, and autonomous technologies. With our recent investment from Meta, we are committed to enhancing our state-of-the-art post-training algorithms to achieve unparalleled performance for complex agents serving enterprises globally. The Enterprise ML Research Lab is at the forefront of this AI evolution. Our team develops a suite of proprietary research, tools, and resources tailored for our enterprise clients. As a Machine Learning Research Engineer on the Data Foundation team, you will engage in pioneering research to optimize the data flywheel that drives our entire machine learning ecosystem. Your work will involve exploring synthetic environments, defining tasks, building agents for trace analysis, and contributing to a cutting-edge framework that automates agent building through advanced evaluation techniques. You will create top-tier agents that deliver state-of-the-art results by leveraging sophisticated post-training and agent-building algorithms. If you are passionate about influencing the future of Generative AI, we encourage you to apply!

At Scale AI, we're at the forefront of developing reliable AI systems that empower organizations to make pivotal decisions. Our dedicated product marketing team is entrusted with crafting and executing innovative strategies that enhance awareness and encourage adoption of Scale’s offerings.We prioritize understanding our customers’ needs and challenges, ensuring their feedback shapes our product development and communication. Our collaborative efforts with product, engineering, research, sales, communications, and the wider marketing team strive to deliver a seamless customer experience across all platforms.This pivotal role focuses on Scale’s Generative AI data products, which fuel the foremost AI laboratories worldwide. As one of the largest providers of high-quality AI training data, we have established our reputation through speed, superior quality, groundbreaking research, and an expanding array of multimodal data capabilities.In a rapidly evolving market, we seek a proactive marketer who can refine our narrative and create strategic playbooks that engender trust within the AI community. The ideal candidate will blend strategic insight with hands-on execution.

Join Scale AI's rapidly expanding Generative AI division, a pioneering unit that has experienced unprecedented growth in under a year. As the Strategic Projects Lead (SPL), you will spearhead initiatives projected to generate over $XXM in new revenue. This dynamic role requires versatility, as you will operate in multiple capacities, including Operator, Product Manager, and customer-facing Engagement Manager. The ideal candidate will possess a robust entrepreneurial spirit, thrive in detail-oriented tasks, and be passionate about delivering transformative solutions that catalyze rapid career advancement.

Artificial Intelligence (AI) is becoming increasingly crucial across all sectors of society. At Scale AI, our mission is to expedite the advancement of AI applications. With nine years of experience, we have established ourselves as the leading AI data foundry, facilitating groundbreaking developments in AI, including generative AI, defense applications, and autonomous vehicles. Following our recent investment from Meta, we are committed to enhancing our capabilities by developing cutting-edge post-training algorithms that are essential for optimizing complex agents in enterprises globally.The Enterprise ML Research Lab is at the forefront of this AI revolution. We are dedicated to crafting a suite of proprietary research tools and resources that cater to all of our enterprise clients. As a Machine Learning Research Engineer focusing on Agents, you will apply our Agent Reinforcement Learning (RL) training and building algorithms to real-world enterprise datasets across our clients and benchmarks. Your role will involve developing top-tier Agents that achieve state-of-the-art results through a blend of post-training and agent-building algorithms.If you are passionate about influencing the trajectory of the modern Generative AI movement, we would love to hear from you!

At Scale AI, we are revolutionizing data infrastructure to empower the world’s most sophisticated AI systems. As the trusted data partner for pioneering model developers and enterprise AI teams, we deliver high-quality training data, evaluation frameworks, and human feedback systems that enhance the intelligence, safety, and effectiveness of AI models. Operating as a two-sided marketplace, we cater to a diverse clientele on the demand side, including top-tier AI labs and enterprises requiring expert-curated data for model training and evaluation. On the supply side, we leverage a global network of over 500,000 skilled contributors across 100+ countries, who perform intricate annotation, evaluation, and data generation tasks critical to AI advancement. As a Product Manager at Scale, you'll bridge these two realms, shaping the tools, systems, and experiences that drive our marketplace's unmatched quality and scalability. We are seeking Product Managers to join our dynamic GenAI organization across multiple teams. These positions will focus on both demand-side products (tools and platforms used by our clients) and supply-side products (systems that support our contributor ecosystem). Each role presents a chance to tackle high-impact, technically challenging problems at the forefront of AI, supported by dedicated teams in engineering, design, and data science. About the Role In this role, you will contribute to Scale’s GenAI platform, enabling leading AI companies—from innovative model labs to Fortune 500 enterprises—to create exceptional training data that enhances their models' performance. Expect to collaborate extensively with engineering, design, data science, operations, finance, growth, and customer-facing teams. The problems you will address are technically intricate, the pace is rapid, and your impact will be quantifiable. Regardless of whether you focus on the demand side (developing products for customers to create and evaluate training data) or the supply side (building systems for our global contributor network), you will take full ownership of your product area from strategy through execution and measurement. As a growth-stage company, Scale combines the resources of a well-funded leader with the urgency and innovation of a startup. Product Managers here enjoy significant autonomy, frequent shipping of solutions, and are expected to be hands-on and highly analytical. Example Product Management Openings: Task UX (Demand Side) — Take charge of the entire tasking product lifecycle. You will define task design, enhance contributor interaction through multi-turn chat interfaces, and enforce quality across various conversational modalities. This is a vital area for...

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

Join Scale AI's rapidly expanding Generative AI division as a Strategic Projects Lead (SPL). In this pivotal role, you will spearhead initiatives poised to generate over $XXM in new revenue. As an SPL, expect a dynamic environment where you will engage in diverse operational dimensions, showcasing your entrepreneurial spirit while navigating complex challenges. This is an opportunity to undertake impactful work that accelerates your career progression.Your Responsibilities:Take full ownership of high-impact customer pipelines, influencing data quality, operational efficiency, revenue, and profit margins.Analyze customer requirements and design optimal data taxonomies tailored for enhanced model performance.Develop pipeline infrastructure to ensure operational excellence.Lead, mentor, and manage diverse global teams.Create analytics frameworks for data-driven decision-making.Collaborate with cross-functional teams (Engineering, Product, Operations, and Go-to-Market) to tackle challenges that drive advancements for the world's leading LLMs.Provide regular updates to Scale's executive leadership.Your Qualifications:A robust technical background is essential, preferably with a degree in Machine Learning Engineering, Computer Science, or Software Engineering. Proficiency in data analytics using SQL and Python, coupled with a deep understanding of Software Engineering processes, is required.3+ years of experience in leading teams/projects and managing operational processes, or equivalent experience as a Software Engineer.Exceptional problem-solving skills in technical environments, with the ability to devise innovative solutions for complex operational and technical challenges.Entrepreneurial mindset with a passion for building solutions from the ground up, demonstrating agility in identifying and addressing issues.

At Scale AI, we are seeking a Quality Lead II who will be instrumental in guaranteeing exceptional data quality within our Generative AI initiatives. You will serve as the primary authority on the data effectiveness we deliver to our clients. This pivotal role involves holding delivery teams accountable across our most impactful projects, tackling intricate quality challenges directly, and guiding teams through strategic initiatives that foster reliable and scalable operations throughout the organization. Your Responsibilities:Lead and cultivate a team of quality control specialists.Collaborate with delivery teams to interpret customer requirements and enhance quality standards.Manage daily operations, including workload distribution and insightful reporting.Establish and maintain scalable best practices.Initiate and drive projects that enhance quality, efficiency, and customer satisfaction.

About Scale AI At Scale AI, we are on a mission to revolutionize the development of artificial intelligence applications. For the past eight years, we have been at the forefront of the AI data foundry industry, propelling groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous systems. Following our recent Series F funding round, we are poised to expand the availability of frontier data as we work towards achieving Artificial General Intelligence (AGI) and enhancing our model evaluation capabilities for both enterprise clients and government agencies. About the Generative AI Data Engine Our state-of-the-art Generative AI Data Engine drives the most sophisticated large language models (LLMs) and generative frameworks by leveraging exceptional Reinforcement Learning with Human Feedback (RLHF), human data generation, model assessment, safety measures, and alignment protocols. The data we create plays a pivotal role in determining how humanity interacts with AI technologies. About Our Forward Deployed Engineer Team At Scale, we address the challenge of generating high-quality data efficiently. Our team's goal is to provide seamless and effective data solutions for both operators and clients. You will be working on building tailored infrastructure that ensures rapid delivery of superior data. This role offers the unique opportunity to engage with the forefront of the Generative AI sector and collaborate directly with leading AI research organizations and governmental entities. Join us in defining the future of Artificial General Intelligence. As a Forward Deployed Engineer, you will play a crucial role in delivering the essential data infrastructure that fuels the most advanced AI models, significantly influencing human-AI interaction. You will collaborate with premier AI firms and government bodies to tackle their most intricate AI data challenges.

Join Scale GP (Scale Generative AI Platform), an enterprise-level Generative AI platform that delivers powerful APIs for knowledge retrieval, inference, evaluation, and more. We are on the lookout for an exceptional Senior Full-Stack Engineer to contribute to the development, scaling, and enhancement of our dynamic product suite. The ideal candidate is well-versed in software engineering principles and has significant experience in creating and expanding modern web applications from start to finish. You will work across the entire stack—ranging from React/TypeScript frontends to Python-based backends—while integrating with Large Language Models (LLMs) and machine learning systems.Your role will involve tackling complex challenges related to scalability, reliability, and user experience while taking ownership of key product areas in a fast-paced setting.

About UsAt Parallel, we are a pioneering web infrastructure company dedicated to empowering businesses across various sectors, including sales, marketing, insurance, and software development. Our innovative products enable organizations to create cutting-edge AI agents with robust and flexible programmatic access to the web.Having successfully raised $130 million from esteemed investors such as Kleiner Perkins, Index Ventures, and Spark Capital, our mission is to reshape the web for AI applications. We are assembling a talented team of engineers, designers, marketers, and operational experts to help us achieve this vision.Job Overview: As a member of our technical staff, you will play a crucial role in building, operating, and scaling our infrastructure, particularly around large language models. Your responsibilities will include ensuring system reliability and cost-efficiency as we expand, anticipating potential bottlenecks, evolving our architecture to meet growing demands, and developing the tools that enhance engineering productivity.About You: You possess a deep understanding of distributed systems, cloud platforms, performance optimization, and scalable architecture. You are adept at balancing trade-offs between cost, reliability, and speed, and you are passionate about enabling teams to innovate rapidly and confidently while supporting products that serve millions of users seamlessly.

About Scale AIAt Scale AI, we are dedicated to revolutionizing the development of artificial intelligence applications. For eight years, we have established ourselves as the foremost AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense applications, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance the availability of frontier data, paving the way towards Artificial General Intelligence (AGI). Our commitment extends to refining our model evaluation expertise for enterprise clients and government entities, thereby enriching our capabilities for both public and private assessments.About the Generative AI Data EngineOur Generative AI Data Engine empowers the most sophisticated LLMs and generative models through premier Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we generate is pivotal for shaping humanity's interaction with artificial intelligence.Our ApproachDuring the interview process, candidates may be considered for various roles across different teams within the GenAI Engineering organization based on their skills, interests, and business needs. Potential placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams are instrumental in scaling Scale AI’s operations - from curating impactful datasets that enhance LLM capabilities to optimizing contributor onboarding and ensuring data integrity through advanced safety and security protocols. They operate at the crossroads of machine learning, operations, and analytics to guarantee that we deliver top-tier data at scale.Key Responsibilities:Design, develop, and maintain robust, scalable systems across the entire stack, including front-end, back-end, and infrastructure.Implement high-impact features using contemporary technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal.Work collaboratively with internal operators to identify bottlenecks and deliver rapid, effective solutions.Take ownership of core systems crucial to our contributor platform, directly influencing Scale’s GenAI data pipeline and overall business outcomes.Architect and scale infrastructure to manage millions of tasks weekly with high reliability and low latency.Collaborate cross-functionally with ML teams, Forward Deployed Engineers, and Product to maintain data quality and operational excellence.Contribute to fostering a robust engineering culture while setting best practices for peers through mentorship, code reviews, and process improvement.

Scale GP is at the forefront of enterprise Generative AI, offering cutting-edge APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We empower critical workflows for leading enterprises, transforming intricate data and models into dependable, production-ready AI systems. Join our newly formed Agentic Data Products team, dedicated to creating the next generation of agent-powered tools that seamlessly integrate AI into real operational workflows. Our mission is to enable enterprises to unravel their data layers and deploy intelligent systems capable of reasoning, acting, and delivering measurable outcomes. This is a pioneering build team, and we are seeking a highly skilled, product-focused Senior Engineer who thrives in dynamic environments, acts swiftly, and relishes the challenge of constructing new systems from the ground up in collaboration with customers and cross-functional teams. You will partner closely with product managers, forward-deployed engineers, data scientists, and applied AI specialists to transform real-world challenges into scalable, production-ready solutions. If you have a passion for rapid delivery, accountability for outcomes, and enjoy working across the entire stack—from sleek front-end applications to robust distributed backends and LLM integrations—this role is perfect for you.

Join Scale AI's rapidly growing Robotics division as a Strategic Project Lead (SPL) for the Data Collection team. In this pivotal role, you will spearhead initiatives expected to generate over $XXM in new revenue. This challenging position requires versatility across various operational functions. We seek an SPL who possesses an entrepreneurial spirit, is willing to delve into details, and is passionate about impactful work that fosters accelerated career growth.Key Responsibilities:Oversee significant customer and internal data collection projects, making critical decisions that influence data quality, operational efficiency, revenue, and profit margins.Analyze customer needs and design collection specifications to optimize model performance.Develop project timelines and an efficient pipeline infrastructure for quality assurance.Lead, mentor, and manage dynamic global teams of operators and data collectors.Create analytics and reports to support data-driven decision-making.Direct a team of Operations Program Managers and Associates to execute projects, define tasks, and track progress.Collaborate with diverse stakeholders (Engineering, Product, Finance, Go-to-Market) to address challenges that advance the largest Robotics models globally (VLAs/VLMs).Provide regular updates on project progress to Scale's executive team.

Join our innovative team at Anthropic as a Scaled Customer Success Manager, where you will play a pivotal role in enhancing customer experiences and driving retention. In this dynamic position, you will collaborate with cross-functional teams to ensure our clients receive exceptional support and value from our services.