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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:We're looking for a Staff Software Engineer to join our platform team and help build and maintain our healthcare data platform. In this role, you'll develop tools and systems that power mission-critical products like our Reporting application, working with platforms like Medplum and health data formats such as HL7.You'll play a key role in designing and supporting the backend infrastructure that connects directly to the products we deliver to customers. The role is backend-heavy and ideal for someone who thrives on building robust, scalable systems in Python and TypeScript.This is a unique opportunity to work at the intersection of engineering and healthcare, shaping how healthcare data flows across the company.What You’ll Be Doing:Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectivenessWork on a modern Javascript (React/Typescript) frontend applicationDevelop our Python, FastAPI backend services including a REST API and ML pipeline servicesBuild new features that support our rapidly growing number of customersWrite code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environmentWork with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defectsAdvocate for improvements to product quality, security, and performance that have a particular impact across your teamWho We’re Looking For:8+ years of industry full stack engineering experience with single and multi-tenanted environmentsIn-depth knowledge of Javascript / TypeScript, Python and FastAPI, or equivalent modern languages/frameworksKnowledge of relational and document based databases, as well as other large scale data storage paradigmsKnowledge of modern web architecture and best practicesFluency with HTML, CSS, responsive design, and other related web technologiesFamiliarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.Experience with unit and integration testingExperience working on a distributed team and strong version control skills using gitExperience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problemsNice to Haves:Experience with ReactExperience with Starlette, SQLAlchemyExperience with PostgreSQLExperience with 3rd-party integrations such as Auth0, AmplitudeExperience working at an early-stage startupExperience in a HIPAA-compliant environment, especially with FHIR and HL7Experience working on machine learningJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Introduction At Perplexity AI, the Sonar API powers AI-native search, retrieval, and automation for some of the world’s most innovative companies. Our Support team is the frontline for developer and enterprise success—ensuring that customers can build fast, reliable, and differentiated products on top of Sonar’s capabilities. We don’t just answer tickets—we partner deeply with customers, Product, and Engineering to architect solutions, debug complex integrations, and influence the roadmap based on real-world developer needs. About the Role We’re looking for a Customer Success Engineer to be a hands-on technical partner for our Sonar API customers. This is a deeply technical, customer-facing role—equal parts solution architect, developer advocate, and technical program manager. You’ll work end-to-end with developers, product teams, and executives at our customers’ organizations—from designing their Sonar-powered architecture to optimizing query performance and implementing new features. You’ll also contribute to internal tooling, docs, and demos that make Sonar adoption easier and more impactful. This role is ideal for TPMs, solutions engineers, or software engineers who have moved into customer-facing work but still want to build, prototype, and problem-solve daily. Key Responsibilities Serve as the dedicated technical partner for strategic Sonar API customers, guiding them through architecture design, integration, and optimization. Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed. Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation. Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability. Capture and synthesize customer feedback to improve Sonar’s API features, SDKs, and developer experience. Maintain deep familiarity with Sonar’s latest capabilities, competitive positioning, and best practices, and use this knowledge to advise customers. What We’re Looking For Must-Haves 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience. Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency. Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments. Excellent communicator who can work with both developer teams and non-technical stakeholders. Bachelor’s degree in Computer Science or equivalent hands-on experience. Nice-to-Haves Experience working with search, retrieval-augmented generation (RAG), or AI/ML APIs. Background in developer tools or platform engineering, especially in high-scale or low-latency environments. Strong familiarity with Python or JavaScript for building integrations, SDKs, or prototypes. History of working at startups or small teams where you owned customer projects end-to-end. Why Join Us The Sonar API is quickly becoming a core infrastructure layer for AI-powered search and automation. As a Customer Success Engineer, you’ll help shape how our customers—from startups to Fortune 500s—bring their most ambitious ideas to life. You’ll be joining a fast-moving, high-impact team where your technical skills, creativity, and ability to bridge product and customer needs will directly influence both Sonar’s roadmap and its market success. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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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.Job Description NICE is looking for an exceptional AI-focused Solutions Architect to join our team. As an AI Solutions Architect, you will play a vital role in enhancing our contact center solutions through the development of prompt engineering, AI application frameworks, and cloud infrastructure services. You will work in a collaborative team environment to explore and create solutions to industry problems using state-of-the-art large language models and generative AI. You bring to this team environment several years’ experience in software development, generative AI, and the curiosity and grit to see a project to delivery. Responsibilities Help diagnose and resolve issues with production prompts. Work with customer-facing stakeholders to capture customers' goals for generative AI applications. Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders. Build and optimize application prototypes that leverage generative AI. Stay informed of the latest advancements in AI application development and tools. Minimum Skills and Experience Minimum of 1 year of experience working with generative AI applications. Minimum of 3 years of experience working in production software development. Minimum of 3 years of experience working with AWS resources. Excellent proficiency in Python programming including automated test. Familiarity with best practices in prompt engineering. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Additional Desired Skills and Experience Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask. Experience working on international, globe-spanning teams. 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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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 an Implementation Engineer to join our team and help support our digital diagnostics customers, including our commercially deployed AI product portfolio and Digital Pathology Image Management System, AISight.  Although experience is important, we weigh a heavy emphasis on cultural fit within the organization, a hunger to learn both our business and customers, and a drive to move us forward in this rapidly evolving industry. We are looking for someone that is well versed in SaaS Implementations, Lab/IT Connectivity Integrations and is well organized, has a sense of drive and an aptitude for learning quickly in a complex space. What You’ll Do Build and maintain strong relationships with our DDx customers (Anatomic Pathology labs, Academic Medical Centers, Hospital Systems)  acting as their primary point of contact during the technical implementation phase of the project Provide hands-on technical implementation support, working with customer IT and internal development teams as needed Provide project management of all implementation tasks, providing schedule updates, resolving risks and issues, and communicating with the customer on a regular basis Language Requirements, Fluent- Spoken and Written : English (Required) Portuguese (BR) (Preferred) On-Call Support: Support external clients as an application expert/escalation point for our support team. (Including an on-call rotation) What You Bring 3+ years of experience in a client-facing, SaaS implementation roles Strong analytical skills and operating rigor Experience handling difficult customers or situations and can demonstrate resolutions A strong understanding of our business and products, and an ability to research/self-start in areas that require learning Familiarity with HL7 interface implementation and hands-on experience with market-leading laboratory information systems (Epic Beaker, Novopath, Cerner Millenium etc) is preferred  Travel (<20%)   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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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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Join Our Mission to Revolutionize Healthcare Smarter Technologies is redefining how healthcare organizations leverage automation and AI to improve efficiency, compliance, and patient outcomes. Our advanced AI-powered Revenue Cycle Automation platform enables providers to streamline and enhance their core business operations. We're looking for an exceptional Compliance and Risk Manager to lead our enterprise-wide compliance and risk management programs. As the Compliance and Risk Manager at Smarter Technologies, you will develop, implement, and oversee a comprehensive compliance program that ensures adherence to HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and other relevant regulations and frameworks. This is a senior leadership role responsible for driving risk mitigation strategies, guiding cross-functional teams on compliance best practices, and ensuring we maintain the trust of our customers, partners, and regulators. As our Compliance and Risk Manager, you will lead with visionary insight at the nexus of compliance, risk, and cutting-edge AI in healthcare. You'll craft governance frameworks that harmonize innovation with ethical accountability, mastering challenges like PHI protection in AI-driven environments. By pioneering transparent, bias-free algorithms and robust data privacy practices, you'll surpass regulatory standards while fueling business growth. Proactively shaping our response to emerging AI governance trends, you'll establish Smarter Technologies as a beacon of trust in responsible AI adoption. Your strategic leadership will redefine compliance as a dynamic catalyst, building stakeholder confidence and accelerating innovation in a highly regulated landscape. Key Responsibilities Design and lead a dynamic, company-wide compliance program aligned with HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and emerging AI governance standards, ensuring ethical and innovative PHI management. Conduct comprehensive risk assessments, mitigating compliance, operational, and AI-specific risks like bias, explainability, and PHI re-identification, in line with HIPAA and HHS AI guidelines. Oversee internal and external audits, driving timely remediation and maintaining audit readiness with minimal findings. Develop and harmonize policies, procedures, and controls across business units, embedding AI ethics and de-identification protocols to prevent ePHI exposure in AI-driven processes. Act as the primary liaison with regulators, auditors, and assessors, fostering trust and alignment on compliance priorities. Guide and train teams on compliance best practices, emphasizing AI governance and AMA Principles for Augmented Intelligence. Report compliance status, risks, and metrics to senior leadership and the board, translating complex requirements into strategic insights. Proactively adapt programs to evolving laws, regulations, and industry standards, positioning compliance as a competitive advantage. What Success Looks Like A compliance program exceeding HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and AI governance standards, driving innovation while securing PHI. Unified compliance practices across all business units, enforcing AI ethics and PHI de-identification to ensure trust and efficiency. Audit readiness with zero material findings, delivering immediate remediation in a high-growth startup environment. Cross-functional alignment that embeds compliance in AI-driven solutions, enabling rapid scalability. A culture where compliance accelerates innovation, establishing the startup as a leader in trusted healthcare technology. Minimum Qualifications 10+ years of experience in compliance, risk management, or information security, with a focus on regulated environments Proven experience building and leading compliance programs that align with HIPAA, HITRUST, SOC 2, NIST, and ISO 27001 Strong track record managing internal and external audits Experience collaborating with regulators and third-party auditors Excellent written and verbal communication skills with the ability to translate complex regulations into clear operational requirements Strong leadership and influencing skills, with experience driving change across diverse teams Bachelor's degree in law, business administration, information security, or a related field; advanced degree or relevant certifications (CCEP, CISA, CISM, CISSP) preferred Bonus Points Led compliance in high-growth healthcare or tech startups, securing AI and PHI operations. Built compliance into DevOps, cloud, and AI platforms, delivering secure, scalable systems. Mastered AI governance and healthcare tech regulations Why Smarter Technologies? Competitive compensation Equity participation: Employee Stock Options Health benefits: Comprehensive medical, dental, and vision insurance Time off: Generous leave policies and paid company holidays California Salary Range $180,000—$225,000 USD

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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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You want to operate at the cutting edge of AI, leading groundbreaking developments in AI safety and security for global impact. As a Product Manager at Lakera, you will drive implementation of features for our flagship GenAI security platform, Lakera Guard. This role will Product Manage our Guard Applications team, focused on the core API & UI experience of Lakera Guard.From conducting comprehensive research to deeply understand our users’ and customers’ pain points, to crafting and implementing a product vision, your efforts will be instrumental in shaping the forefront of the new AI security space, ensuring that Lakera Guard not only meets but exceeds the evolving demands of AI technology and its users. What you’ll doHelp improve and create new security products that keep AI agents safe and secure.Collaborate with product and company leadership to align our Lakera Guard application strategy with the company’s overall business goals and objectivesDevelop a comprehensive and prioritized roadmap based on use cases from customer feedback, market research, and data analysisWork closely with cross-functional teams, including engineering, UX/UI design, and marketing, to deliver high quality products that exceed customer expectations.Conduct customer interviews, gather feedback, and gain a deep understanding of customer pain points to inform feature development and enhance the user experience. Spend enough time with our customers and prospects to deeply understand their problems and challengesCollaborate with the leadership, sales, and marketing to develop compelling product messaging, positioning, and go-to-market strategiesDrive success in 0 to 1 products and features - create and launch exciting products and then iterate based on early customer feedback.Support the CSM and sales team in customer engagements, providing technical expertise and product knowledge as needed. What you’ll bring4-8+ years experience in enterprise SaaS Product Management, preferably in the application security or broader cybersecurity marketBachelor's or Master's degree in Computer Science, Cybersecurity, or a related technical field. An MBA or equivalent is a plus.Strong understanding of application security fundamentalsStrong understanding of generative AI, Large Language Models, and AI agents. Experience in prompt engineering and evaluation in a production system is a plus.Excellent leadership, communication, and collaboration skills, with the ability to work effectively across cross-functional teams globally, including engineering, UX, and marketing.Previous ownership of the end-to-end delivery of software that has demonstrably had a significant impact on enterprise customersDemonstrated ability to deeply understand and solve problems for technical users and buyers (e.g. developers, security teams, or infrastructure teams)Experience in driving product improvements through rapid experimentation and iteration in an enterprise context and with globally distributed development teams.You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals.You take full ownership of the work and product you are responsible for We encourage you to apply even if your experience doesn’t precisely match the job description, particularly if your career has taken an extraordinary path.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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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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Growth Product Manager About Durable:  Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You'll Do:  We’re looking for a Growth Product Manager to own the flywheel that powers durable’s customer acquisition, activation, and retention. You’ll work across product, marketing, data, and engineering to design high-leverage growth loops, optimize funnels, and launch experiments that accelerate Durable’s trajectory. Key Responsibilities: Own the end-to-end growth funnel: acquisition, activation, engagement, and retention Design and prioritize experiments that improve signup, onboarding, and conversion flows Partner with marketing on channels, campaigns, and landing pages to drive qualified growth Define and implement growth loops and referral mechanisms to scale durable organically Use data and customer insights to generate hypotheses, measure performance, and inform roadmap Collaborate with engineering and design to ship rapid, high-quality growth initiatives Establish growth metrics, dashboards, and frameworks for decision-making Work closely with leadership on pricing, monetization, and go-to-market levers What you bring:  3–6+ years in product management, growth, or related roles at high-growth b2c/b2b2c startups Proven track record of shipping experiments and delivering measurable growth results Strong analytical skills; fluent in funnel metrics, a/b testing, and data storytelling User-first mindset with ability to balance qualitative insight and quantitative data Entrepreneurial and scrappy: thrive in fast-moving, ambiguous environments Excellent collaboration and communication across product, engineering, design, and marketing Bonus: experience with ai-native products, no-code/web tools, or small business ecosystems Why Join Us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Vancouver HQ: Based in Vancouver? Our Gastown HQ comes with jaw-dropping North Shore views. Many teammates come in on Mondays and Thursdays, but WFH is always an option when you need it. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Location: Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation:  Base salary range $150,000-200,000 CAD, plus equity. This range is based on Vancouver, BC. Actual compensation is determined on a case-by-case basis and takes into account experience level and skillset.   

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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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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.What you'll be doing:As a Senior Data Scientist in our Consumer and Services business unit you will lead project teams that deliver bespoke algorithms to our clients. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat 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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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 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. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.The APM owns each step in the AI Agent build lifecycle. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You will own and drive your customer builds and help shape the overall product roadmap by being the voice of the customer.About the RoleWe’re looking for a Strategic APM that thrives in a highly autonomous environment. You’re product-minded, scrappy, can drive highly complex projects across cross-functional teams, and are comfortable building relationships with some of the largest brands in the world.Given their size, these strategic accounts often present the challenge of complexity, requiring the navigation of customer stakeholders across org charts. A successful Strat APM will be able to navigate this complexity seamlessly and develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders).APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. You’ll have the opportunity to dive deep into complex business problems, build elegant solutions and then scale them out to millions users, all while being part of the founding Strat APM team. This role is ideal for future founders, general managers, and business unit leaders.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos for DecagonYour background looks something like thisHave 8+ years of relevant experience. This includes but is not limited to:Senior manager or equivalent at a top-tier consulting or other professional services firmPartner at an investing firmSenior product leader or group product managerDeep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.An MBABenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$240K – $285K + Offers Equity