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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. Building truly successful AI products isn’t just about model quality — it’s about the infrastructure, tooling, and workflows that allow customers to configure, monitor, and improve their agents at scale.The Product Management team owns Decagon’s platform and foundational features: agent building, testing, experimentation, analytics, QA, versioning, integrations, and enterprise controls. We work across every customer segment, partnering closely with engineering, design, and go-to-market to ensure our platform is robust, scalable, and easy to use.As one of our founding PMs, you’ll help define the product foundation that every Decagon customer uses to build and run their AI agents. You’ll own initiatives end-to-end, from discovery and scoping to launch and adoption, shaping the product experience for some of the world’s most influential businesses.About the RoleOn the Product team, you’ll own the roadmap for a major product area and partner with customers and internal teams to deliver features that make Decagon’s platform powerful, flexible, and enterprise-ready. Your work might include:Designing AI-powered features that turn raw conversation data into instant, actionable insights for customers.Building intelligent systems that give enterprises precise control over how their agents learn, adapt, and deploy in production.Creating self-serve configuration experiences that feel effortless — powered by real-time AI guidance and automation.Expanding the platform’s reach by connecting AI agents to live data streams, tools, and APIs that unlock new use cases.You’ll partner closely with engineering, design, sales, agent product managers and our leadership team to ensure the core platform meets the needs of both our largest enterprises and fastest-growing startups.In this role, you willShape the roadmap for core capabilities that power the next generation of AI agents from first concept to launch.Work closely with customers to uncover new ways AI can transform their workflows, unlock automation, and elevate customer experience.Translate breakthrough ideas into clear product specs, then partner with engineering and design to bring them to life.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, founder, engineer, researcher etc.)Strong technical acumen — comfortable discussing APIs, data models, and architecture with engineers.Strong communication and relationship-building skills.Proven track record of shipping impactful features in fast-paced environments.Even betterA Computer Science, Engineering, or Math degree or equivalent technical experience.Previous startup or high-growth company experience.Benefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $285K + Offers Equity

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions.This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.Key Responsibilities:Define and lead the technical architecture, design, and long-term engineering roadmap for agent research platforms.Develop and maintain complex, high-performance, and scalable systems that serve as the foundation for our research.Mentor and guide other engineers and researchers on the team, fostering technical excellence and best practices.Conduct thorough code and design reviews, ensuring quality, security, and scalability.Collaborate closely with researchers to implement, test, and productionize new agent logics and learning algorithms.Drive improvements in system reliability, scalability, and observability for our research infrastructure.Establish and enforce engineering standards, tooling, and processes within the Agent team.Champion technical innovation and proactively address technical debt to accelerate research and development.Requirements:Technical Skills:Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer with a relevant set of responsibilities and achievements.Strong 5+ years of experience in Python development.Proven experience building, scaling, and shipping end-to-end solutions involving Machine Learning models (LLMs/VLMs).Proficient in at least one deep learning (PyTorch, JAX, TensorFlow) or agentic framework (LangChain, AutoGen, CrewAI, OpenAI SDK).Expertise in instrumentation, observability, and monitoring for complex systems.Solid understanding of coding standards, architectural patterns, and test frameworks.Bonus Skills:Experience with distributed systems or cloud computing, preferably in AWS.Experience in LLM training/fine-tuning.Experience with Reinforcement Learning (RL) frameworks or algorithms.Experience developing large-scale evaluation and benchmarking systems for AI models.Soft Skills:Enjoys collaboration and teamwork in a research-oriented environment.Impactful communication skills, with the ability to bridge the gap between research and engineering.Eager to explore and solve the new engineering challenges of agentic AI.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit  We're looking for a technical product manager to join our team and help support the execution of PathAI’s product roadmap. The AI Product Manager will work closely with machine learning, pathology, biomedical data science, clinical affairs, quality, regulatory, and business operations teams to ensure that product development goals are being met for successful delivery of a product. The successful candidate will be able to identify, build, and champion AI products in key strategic areas for PathAI.   This role offers the opportunity to help define the product strategy of a fast growing, dynamic business. What You’ll Do Contribute to the development of the roadmap for PathAI algorithm products within a key business unit or disease area, and own the execution of assigned initiatives. Collaborate with stakeholders to gather requirements, define priorities, and align on product direction. Support the development of business cases for new products, product extensions, or platform capabilities. Partner cross-functionally with product designers, engineers, and scientists to deliver high-quality solutions that meet user needs. Monitor product performance, gather feedback, and contribute to continuous improvement initiatives. What You Bring  3+ years experience in product management (preferably bioinformatics, machine learning, or data science). Launch experience with algorithm-based products in life sciences and/or healthcare. Advanced degree in computational biology, biomedical engineering, biology, or related field preferred Experience contributing to the launch of AI-driven or software-based products. Strong collaboration skills and ability to work with cross-functional teams across technical and scientific domains. Curiosity and willingness to learn about oncology, pathology, and AI-powered products. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.Key Responsibilities:Develop and train advanced LLMs and VLMs, including multimodal architecturesResearch and implement training methods for enhanced capabilities like instruction following and tool useDesign and optimize data pipelines and training systems for large-scale distributed trainingCollaborate with cross-functional teams to integrate models into agentic AI systemsEvaluate model performance and communicate findings to stakeholdersStay current with advancements in LLMs, VLMs, and related fieldsRequirements:Technical skills:Strong programming skills (Python, Git)Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)Experience with large-scale distributed training of LLMs and VLMsHands-on experience with LLM training, alignment, and reinforcement learningKnowledge of multimodal architectures and applicationsResearch skills:Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)Soft skills:Excellent communication and presentation skillsStrong collaboration and teamwork skillsPassion for AI and problem-solvingBonuses:Industry experienceExperience in LLM training with RLExperience with data processing techniquesLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff, you will:Design and write high-performing and scalable software for training models.Develop new tools to support and accelerate research and LLM training.Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime.Research, implement, and experiment with ideas on our cluster and data infrastructure.Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!You are an ideal candidate if you have:Extremely strong software engineering skills.Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.Experience using and debugging large-scale distributed training strategies (memory/speed profiling).[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance.[Bonus] Experience in ML, LLM and RL academic research.This role is perfect for you if you:Have a deep passion for quality work.Enjoy tuning and optimising large LLM models.Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build, operate, and scale our infrastructure, including our infrastructure around large language models, and ensure that our systems are reliable and cost-efficient as we grow. You will anticipate bottlenecks before they appear, ensure that our architecture evolves to meet increasing demands, and build the tools and systems that keep engineering velocity high.You: Have deep intuition on distributed systems, cloud platforms, performance tuning, and scalable architecture. You like to reason about trade-offs between cost, reliability, and speed of iteration. You care about your work enabling every team to build faster and ship confidently, and about infrastructure that can support products used by millions without breaking a sweat.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research Engineer at Labelbox, you’ll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work—browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You’ll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox’s strategy for collecting, synthesizing, and evaluating it. You will possess expertise in LLM agents and planning/execution loops, plus creativity in tackling problems across data design, interaction, and measurement. You’ll publish meaningful results, collaborate with customer researchers in frontier AI labs, and turn prototypes into reliable, scalable features. Your Impact Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities. Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models. Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices. Collaborate closely with frontier AI lab customers to understand requirements and guide model development. Publish research findings in academic journals, conferences, and blog posts. What You Bring Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field. At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers. Experience building and training autonomous agents—tool use, structured outputs, multi-step planning—across browsers/GUI, codebases, and databases using SFT and RL. Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).  Adept at interpreting research literature and quickly turning new ideas into prototypes. Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements. Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Strong analytical and problem-solving abilities in ambiguous situations. Excellent communication skills. Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.). Labelbox Applied Research At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios. We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$250,000—$300,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Product Marketing Manager/Associate (Personalization/Data Cloud) Location: Tokyo About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing. About The Product Marketing Team The product marketing team at Appier is under the Growth and Marketing organization, working closely with product, sales, and customer success teams to drive awareness and adoption. About this role As a Product Marketing Manager, you will play a crucial role in driving the success of Enterprise Solution's go-to-market strategy in different markets, including Japan, South Korea, Taiwan, Hong Kong, and Southeast Asia, and ensuring the continued growth and adoption of our cutting-edge AI-powered solutions. You'll be a key storyteller for Appier, bringing the value of data and personalization to life across all internal and external channels by owning the vertical go-to-market strategy, building competitor playbooks, delivering global training, and being a public figure for the company. Responsibilities Develop and execute go-to-market strategies for Personalization and Data Cloud products by working closely with cross-functional teams such as product management, sales, and customer success.  Conduct market research and competitive analysis to identify customer needs, market trends, and growth opportunities. Develop and maintain a deep understanding of the company's products and services, as well as the target audience and buyer personas. Craft compelling value propositions and messaging that differentiate the company's products in the market and resonate with target audiences. Collaborate with sales teams to develop sales enablement materials, such as presentations, case studies, and product demos. Partner with the broader marketing team to execute marketing tactics that drive awareness and new client meetings. Qualifications [Required] Bachelor's degree in Marketing, Business, or a related field with 2-3 years of experience in (product) marketing or a related role Excellent written and verbal communication skills in Japanese and English, with the ability to craft compelling messaging and tell engaging stories. Experience in creating sales enablement materials, such as sales decks and case studies. Agile and adaptable mindset, with the ability to thrive in a fast-paced, dynamic environment. Proactive and self-driven with a strong attention to detail and the ability to manage multiple projects simultaneously. An appetite for collaboration, driven by the belief that your success is dependent on the success of others around you Enjoyment talking to customers and personally going and testing and figuring out positioning that works Taste for beautiful design, good copy, and attention to detail [Nice to have] Relevant experience in digital marketing roles. Proficiency in additional languages besides English. Experience in B2B marketing or enterprise software solutions. Strong project management skills and the ability to prioritize tasks effectively. A passion for continuous learning and professional development in the field of marketing. Ability to thrive in ambiguity and navigate through complex challenges. A collaborative and team-oriented mindset, with a willingness to support and contribute to the success of the team as a whole. #LI-BD1 #LI-Hybrid

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForAt Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The Prompt Engineer optimizes prompts to generative AI models across NICE's Customer Service Automation (CSA) applications. As part of the CSA Research team, the Prompt Engineer collaborates with multiple groups to ensure our applications deliver the highest quality customer experience. This role partners with global development teams to diagnose and resolve prompt-related issues, define and execute tests for LLM-based systems that are difficult to evaluate using traditional automation tools, and educate teams on advances in prompt engineering. The Prompt Engineer also updates production prompts in line with evolving industry best practices. When customers require novel, custom prompts, the Prompt Engineer works closely with Professional Services and Product Management to capture requirements, design robust solutions, develop and execute test plans, and present results to stakeholders. Responsibilities Diagnose and resolve issues with production prompts. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Collaborate with developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts for new features. Consult with Machine Learning Engineers for complex prompt challenges. Stay informed on advances in prompt engineering. Required Qualifications BS in a technology-related field such as computer science, business intelligence/analytics, or finance. Three years of experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, including differences between major LLM vendors. Strong collaboration skills with cross-functional teams. Excellent communication and presentation abilities for internal and external stakeholders. Experience with Python and at least one web app framework for prototyping (e.g., Streamlit or Flask). Preferred Qualifications Basic AWS resource management, including microservice deployment. Experience with Docker containerization. Experience with both standard and AI-based testing frameworks (e.g., PyTest, DeepEval). Exposure to generative AI application frameworks such as LangChain, LlamaIndex, and griptape.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.The Details:Benefits:Competitive salary: $140,000-$190,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and eventsLocation:Hybrid work environment, with offices in:Seattle, WAPalo Alto, CANew York, NY

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AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build and maintain our backend that already handles millions of custom requests daily, and ensure that it’s reliable, performant and exceeds expectations for our customers as we scale. You will also be a steward of our API and ensure that it’s developer-friendly and easy to integrate with.You: Have deep intuition on distributed systems, databases, maintainable code design, and API design. You like to reason about trade-offs between speed, scalability, and developer ergonomics. You care about your work powering products and systems that millions rely on, and about APIs that developers love to use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.A typical day at Cohere might include:Leading the technical talk track on customer calls.Deep dives on customer problems and Cohere technology.Designing novel enterprise solutions with bleeding-edge NLP technology.Facilitating customer evaluations and PoC’s.Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere.Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.Working closely with our partners to develop a strategy for enabling and accelerating their customers.This career opportunity is a good match for you if you have:5+ years of customer-facing technical pre/post sales Solutions Architect (or similar) experience.2+ years architecting or deploying NLP/AI/LLM Solutions.A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies.Comfortable working with Python and Jupyter Notebooks.Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences.High tolerance for ambiguity.You can identify and implement high-impact processes in unstructured environments.Preferred: Experience managing Kubernetes clustersPreferred: Experience with networking (firewalls, DNS, cert management, etc)Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc)If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Have a passion for AI, creativity, and pushing the boundaries of what’s possible? At Moonvalley, we’re always excited to meet talented people who share our vision. Even if you don’t see the perfect role listed right now, we encourage you to get in touch! We’ll keep your details on file and reach out when a suitable opportunity arises.About MoonvalleyMoonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, OpenAI, and Meta, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started. Who You’ll Work WithOur team brings together AI researchers, engineers, product thinkers, marketers, designers, and strategists. Whether you're building AI models, driving business growth, or shaping our brand, you'll collaborate with smart, ambitious people who value bold ideas and innovation.Our MissionWe’re shaping the future of creativity with AI tools that empower artists, creators, and businesses. From generative AI to digital storytelling, our work pushes boundaries and has a global impact.How We Work Innovation drives everything we do whether in AI, marketing, product, or operations. We encourage ownership, experimentation, and creative problem-solving in a fast-moving, collaborative environment.In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.