Find AI Work That Works for You

true

Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramThe OpportunityVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The RoleDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.The ChallengeWe are seeking researchers who:See "unsolved" problems as opportunities to pioneer entirely new approachesCan identify the one critical experiment that will validate or kill an idea in days, not monthsHave the vision to scale successful proofs-of-concept 100xAre obsessed with using AI to automate and amplify your own impactIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.What You'll DoBrainstorming and collaborating with other members of the Research Staff to define new LLM research initiativesBroad surveying of literature, evaluating, classifying, and distilling current methodsDesigning and carrying out experimental programs for LLMsDriving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into productionDocumenting and presenting results and complex technical concepts clearly for a target audienceStaying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our productsYou'll Love This Role if YouAre passionate about AI and excited about working on state of the art LLM researchHave an interest in producing and applying new science to help us develop and deploy large language modelsEnjoy building from the ground up and love to create new systems.Have strong communication skills and are able to translate complex concepts clearlyAre highly analytical and enjoy delving into detailed analyses when necessary It's Important to Us That You Have3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanismProven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL LearningStrong experience coding in Python and working with PytorchExperience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)Experience with distributed computing and large-scale data processingPrior experience in conducting experimental programs and using results to optimize modelsIt Would Be Great if You HadDeep understanding of transformers, causal LMs, and their underlying architectureUnderstanding of distributed training and distributed inference schemes for LLMsFamiliarity with RLHF labeling and training pipelinesUp-to-date knowledge of recent LLM techniques and developmentsPublished papers in Deep Learning Research, particularly related to LLMs and deep neural networksBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

true

Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramThe OpportunityVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The RoleDeepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.The ChallengeWe are seeking Research Staff who:See "unsolved" problems as opportunities to pioneer entirely new approachesCan identify the one critical experiment that will validate or kill an idea in days, not monthsHave the vision to scale successful proofs-of-concept 100xAre obsessed with using AI to automate and amplify your own impactIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.What You'll DoDrive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation modelsDevelop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning modelsCollaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputsBuild advanced benchmarking methodologies and curated datasets for evaluating conversational voice systemsDocument and present results of data experiments and analysis for internal and external audiencesYou’ll Love This Role If YouAre obsessed with making sense out of complex and/or messy dataEnjoy building from the ground up and love to create new systems from scratchAre passionate about AI and interested in leveraging data to solve hard problemsAre motivated by the prospect of scaling yourself using automation and AI models It's Important to Us That You HaveExperience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformationExperience and expertise applying statistical methods and deep learning models to understand complex dataStrong communication skills and the ability to translate complex concepts in simple terms, depending on the target audienceStrong software engineering skills with particular emphasis on developing clean, modular code in Python and working with PytorchNice to HavesBackground in Physics, Mechanical Engineering or Language ProcessingExperience building modelsSpeech and audio experienceBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

true

Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramThe OpportunityVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The RoleDeepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research Staff team. As a Member of the Research Staff, this role focuses on scaling training systems for speech related technologies, building internal tools, and driving innovation in data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems.Key ResponsibilitiesScalable Model Training: Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains, including, but not limited to: non-english languages, use cases, and customer-centric. These systems include data preparation and management, training pipelines, and automated evaluation tooling. Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.The ChallengeWe are seeking Members of the Research Staff who:See "unsolved" problems as opportunities to pioneer entirely new approachesCan identify the one critical experiment that will validate or kill an idea in days, not monthsHave the vision to scale successful proofs-of-concept 100xAre obsessed with using AI to automate and amplify your own impactIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. It's Important to Us That You HaveStrong experience in training large-scale machine learning systems, particularly in STT or related speech domains.Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.Familiarity with ML lifecycle tools such as MLflow.Experience building internal tools or dashboards for non-technical users.Hands-on experience with data engineering practices for unstructured audio and text data.Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders. Nice to HaveDeep understanding of evaluation metrics and benchmarking techniques for ASR and/or TTS systems.Why Join Deepgram?At Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

true

Architect the Pipes. Fuel the Models. Move the Market.Location: Remote-first (strong, reliable internet required)Team: Data Engineering & ML (reporting to CTO)What we are looking forWe are looking for an entrepreneurial and business minded Python Engineer to help us disrupt the e-commerce industry. We believe it is time for technology and data to help merchants deliver the best pricing to their customers, no matter what. This is the opportunity to join a start-up led by a proven founder in an industry that is growing exponentially and an opportunity to work alongside a small and focused Data Science (DS) & Machine Learning (ML) Engineering team, the chance to work on something not only exciting and fun, but also creative in ways that most people will never experience in their lifetime.What you will do.You will work side by side with e-commerce experts and the DS / ML team to build, test, and maintain systems that collect, manage, and convert raw data into usable information for the DS / ML team to interpret. You will be responsible for building and maintaining data pipelines, storage systems, and APIs to access the data. You will also provide support to the ML engineering team to help with data engineering.The ideal candidate writes well-tested code that is easy to read and understand, communicates effectively with team members, asks for help and feedback when needed, and shares knowledge.Write code and tests for pulling data from 3rd party integrations and loading into a structured database for each data source (ETL).Provide API access to the data collected from 3rd parties.Analyze data sources to help decide which are useful for the DS / ML team.Maintain the data pipeline architecture, automation, scalability, and error handling.Monitor pipeline performance and stability.Who you are.You enjoy building the tools and systems for delivering a production product.You are comfortable in a small, dynamic team, where you will be designing and leading initiatives.You are self-motivated and comfortable working in a 100% remote environment.You can balance the need to move quickly with the desire to build for the future.You are willing to bring your expertise to the table and willing let others bring their expertise as well.Requirements5+ years of software development experienceProficient with Python programming languageProficient with SQL programming language and databases (PostgreSQL, MySQL, etc)Proficient integrating with APIs, data formats (JSON, CSV, XML, etc), rate limiting, and error handling.Experience with distributed task queues (i.e. Celery), multiprocessing, job scheduling.Understanding of the infrastructure used to build a production application (ex. NGINX, RabbitMQ, Error and Performance monitoring tools, AWS services such as ECS/EKS, etc.)Strong communication skills, especially with non-software developersExperience with containerization (Docker/Kubernetes)Experience designing and delivering the architecture required to run code in productionExperience with ETL pipelinesGood to haveExperience working in early-stage startups and/or developing your own projectsExperience with NoSQL and non-relational databasesExperience with machine learning and data science.Experience with distributed computing frameworks such as Apache Spark, Apache Iceberg or HadoopExperience with data orchestration tools such as Apache Airflow, Prefect, or LuigiInterview ProcessSilver Screening Interview.Silver Technical Interview.Logic Quizz.Client Screening interview.Client Live coding Interview.Client Behavioral Interview.

false

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

false

About the TeamThe Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.Growth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.About the RoleWe are seeking a full-funnel growth athlete with deep expertise in performance marketing strategy, launch execution, and optimization, coupled with strong analytical and technical acumen. You will own growth initiatives end-to-end - from ideation and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, data science, and design teams to design scalable systems that accelerate growth efficiently.You’ll focus on scaling paid acquisition, improving conversion through experimentation, and building the growth infrastructure needed to maximize ROI while expanding into new channels, markets, and segments.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.Managing full-funnel performance metrics, from CPM/CPC to LTV/CAC, and identifying new opportunities for efficiency and scale.Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.Expanding growth channels and market coverage, with attention to localization and regional performance nuances.Driving influencer and creator partnerships as part of the paid and organic growth mix.Collaborating with product teams to improve in-product conversion and onboarding flows.Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.You might thrive in this role if you are/have:8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.Proven ability to launch, scale, and optimize paid channels at significant budgets.Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.A test-and-learn mindset and comfort with fast-paced, ambiguous environments.Excellent cross-functional communication skills and stakeholder management experience.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

true

Join our client's team as a Concierge and AI Trainer, where you'll be instrumental in developing the next generation of AI models tailored to hospitality services. In this role, you'll leverage your expertise in concierge services to train AI systems, providing comprehensive guidance on guest assistance, service delivery, and hospitality standards. Help bridge the gap between expert human service and advanced AI capabilities. Key Responsibilities:Analyze and review AI-generated responses related to concierge services, providing feedback and corrections for accuracy and appropriateness.Apply industry-specific knowledge to create realistic training scenarios, sample dialogues, and task workflows for an AI training platform.Document and communicate best practices for guest service, including special requests, transportation arrangements, and coordination of business or entertainment services.Collaborate with AI development teams to enhance the depth and empathy of AI interactions.Ensure AI responses meet the high standards of written and verbal communication expected from professional concierges.Monitor and assess AI performance across various hospitality tasks, identifying areas for improvement.Stay informed on industry trends and guest expectations to continuously enrich training data. Required Skills and Qualifications:Proven experience as a concierge or similar guest-facing role in hotels, luxury residences, or office buildings.Strong written and verbal communication skills, with a keen focus on detail and guest experience.Ability to define and articulate complex service workflows and hospitality scenarios.Familiarity with arranging transportation, business services, entertainment, and responding to guest requests.Strong organizational and documentation skills for tracking AI feedback and process improvements.Comfortable working independently in a remote environment and collaborating with cross-functional teams.Passion for both technology and delivering exceptional guest service. Preferred Qualifications:Certification from a hospitality or concierge association (e.g., Les Clefs d'Or).Experience in training or mentoring others in hospitality or related fields.Interest or background in AI training or technology development. About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - Every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

true

This is a high seniority role for candidates with 10+ YOE working in fast-paced environments and demonstrable impact on the organization through development and leadership contributions.About MotionGiven the speed of AI advancement, we operate under two assumptions about the future of work:1. AI will do 100x more work over the next decade2. Humans will always be needed for oversight, strategy, and the toughest decisionsTo manage this future, there must be a system that lets a single human manage 100x more work, done by both AI and people. That’s what we’re building at Motion.We spent the past 5 years building the best automated project management software—an AI project manager that eliminates reactive project management—Motion predicts what will get done early or late, automatically coordinates the right person to do the highest impact task at the right time, and ensures no steps are missed.The real moat in AI agents is context: whoever has the most data to let the system think and work exactly like their users will win. Motion already has a lead: tasks, projects, docs, meetings, calendars, and communication all live in one place, making us best equipped to swap out human work for AI technology improves. Integrating all these systems seamlessly is incredibly hard, but we're uniquely capable of doing this because we are one of the most operationally excellent companies in the world.With backing from YC and Sam Altman, a $500M+ valuation, and hundreds of thousands of users, we’re well positioned to lead. Now we’re building agents that work with extreme accuracy and unlock an order-of-magnitude boost in productivity.Motion isn’t a 9–5. It’s intense, fast, and not for everyone. But if you want to work with top talent, learn fast, and help redefine how work gets done—you’ll thrive here.About The RoleMotion is hiring an experienced software engineer who can make key technical decisions and implement large software projects to help Motion scale the next 2 orders of magnitude. The role may be frontend, backend, or full-stack, whichever suits your background.We work hard to ensure Motion’s engineering team is one of the highest talent-density teams in the world. We have accomplished in weeks or months what it would take larger teams years to do. There are many initiatives on our product roadmap we know will make Motion deliver orders of magnitude more value to customers. As an engineer on our team, you will work on Motion's highest impact projects and have ownership over major parts of the product code.You will be a successful engineer at Motion if:You are ambitious and always looking for ways to improve. For most engineers, this role will give you the most responsibilities you’ve ever had, while holding you to higher standards than other companies you’ve worked at. Don’t rest on your past achievements — expect to work your hardest and do the best work of your career at Motion. You will receive lots of coaching and feedback that you should seek to grow fromYou can take ownership of projects and lead them to completion while dealing with ambiguity and finding the right balance between speed and quality. You don’t need every detail and edge case spelled out for you because you can figure out the goals of the project and fill in the blanksYou are a fast learner and can quickly familiarize yourself with a complex product and code base. You aren’t afraid to tackle any part of the stack or learn a new unfamiliar technology. You are comfortable with the fact that working in a startup means working around tech debtYou have a strong understanding of how you can create the most impact, and don’t get lost in the weeds in details that don’t matter. You’re excited to work on whatever solves the biggest customer problems, not just the coolest technical challengesYou can collaborate effectively with other talented engineers and work well in an environment where the best ideas win. The median engineer at Motion has 9 years of experience. You should expect your ideas to get challenged and to learn a lot from your coworkersTechnology StackWe prefer candidates who are familiar with the JavaScript ecosystem and can hit the ground running when they join us. We don’t expect you to know all of our technologies, but enough of them to pick up the rest quickly. Our tech stack: Typescript, Node.js, React, React Query, Nest.js, Postgres, Temporal.About Motion’s Engineering CultureHere are some helpful videos from Chander Ramesh, our cofounder and CTO:What it’s like day-to-day at MotionMotion’s company culture and engineering practicesHelpful Links:How Motion OperatesMotion Company Culturehttps://www.usemotion.com

true

Join our client's team as a Clinical Director and AI Trainer, where you'll play a crucial role in advancing healthcare AI systems. Use your leadership and expertise in clinical operations to design AI models that enhance medical and health services management for leading organizations. This unique opportunity lets you shape the future of healthcare technology, working collaboratively and flexibly from any location. Key Responsibilities:Train and guide AI models to accurately represent real-world clinical and administrative decision-making within hospitals, clinics, and healthcare networks.Provide insights and feedback on AI system outputs to ensure alignment with best practices in medical and health services management.Collaborate with cross-functional teams to develop AI training materials and case scenarios based on practical healthcare operations.Provide expert knowledge to help AI trainers simulate the role of Medical and Health Services Managers across diverse healthcare settings.Continuously assess and improve AI content for accuracy, credibility, and relevance to healthcare management applications.Ensure all training and development activities comply with regulatory standards, ethical guidelines, and maintain patient confidentiality.Clearly communicate complex clinical concepts in both written and verbal formats to technical and non-technical audiences. Required Skills and Qualifications:Proven experience as a Clinical Director, Medical and Health Services Manager, or similar leadership role within hospitals, clinics, managed care, or public health agencies.Deep understanding of healthcare operations, medical administration, and industry regulations.Exceptional written and verbal communication skills, with the ability to effectively convey nuanced clinical processes.Strong analytical skills and attention to detail when evaluating systems and processes.Ability to collaborate in a remote, cross-functional environment.Commitment to maintaining the highest standards of integrity, confidentiality, and patient safety.Familiarity with AI or digital health technologies, or a strong willingness to develop these skills. Preferred Qualifications:Experience in training or developing healthcare AI or digital tools.Advanced degree in healthcare administration, public health, or a related field.Proven track record of successful leadership in multidisciplinary, technology-driven projects. About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - Every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

false

Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs an Enterprise Account Executive at Harvey within our law firm segment, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with “BigLaw” firms, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.What You’ll DoDevelop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users.Achieve and exceed revenue targets and other key sales metrics.Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.What You HaveTrack record of selling complex software solutions to professional services firms, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.Passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently.Excited about prospecting, and capable of leading a sales cycle from start to finish, quarterbacking cross-functional resources (solutions architects, product managers, etc.).Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and helping create sales resources to drive our success.Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

false

About YuppWe are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product -- one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us.Why Join Yupp?Are you ready to have the ride of a lifetime together with some of the smartest and most seasoned colleagues? You’ll work on challenging, large-scale problems at the cutting edge of AI to build novel products that touch millions of users globally, in a massive and growing market opportunity.Yupp’s founding team is highly experienced and comes from companies like Twitter, Google, Coinbase, Microsoft and Paypal. This team is one of the smartest, most fun, cracked top talent you will ever work with. Our work culture provides a high degree of autonomy, ownership and impact. It’s intense and isn’t for everyone. But if you want to build the future of AI alongside others who are at the top of their game and expect the same from you, there’s no better AI startup to be.At Yupp, you will experience both the excitement of building for a large scale global user base as well as for the deeply technical audience of AI model builders and researchers. You’ll get immersed in and learn all about the latest and greatest AI models and agents. You’ll interact with AI builders and researchers from other AI labs all around the world.We are a mostly in-person startup, but we are also flexible – you can usually work from home when you need to and come in and leave when you want to. Many employees work from home on average 1 day a week.ResponsibilitiesOwn all facets of our core product features from crafting the vision and strategy to executingDefine and execute a roadmap for both consumer and AI builder product features, impacting millions of users as well as the development and improvement of AI models and agents.Size opportunities, analyze market trends, and identify the highest-impact real-world use cases for Yupp’s product features.Partner with design, engineering, AI and growth teams to deliver seamless, user-friendly consumer AI features that scale globally.Develop and execute consumer growth strategies, including referral programs, social growth loops, and network effects.Identify, evaluate, create and manage seamless processes to onboard new models on to Yupp, at speed and scale.Lead the design and refinement of benchmarking and real-world evaluation frameworks for AI models.Own how models are ranked, compared, and surfaced to users, ensuring transparency and trust.Identify and prioritize high-impact areas in the product where AI can improve user value, efficiency, and overall product performance.QualificationsExperience: 10+ years in product management, with significant experience in AI/ML products, platforms, and models and significant experience as a PM on a high performing consumer or growth product team at a consumer tech company.Analytical Thinking and Strong Prioritization skills: Deep analytic, prioritization and problem solving skills. Comfort with product analytics and performance measurement; ability to design meaningful metrics for AI usage and quality.Execution: Proven track record of delivering technically complex, high-impact features from concept to launch. Ability to focus on scalable business outcomes.AI Understanding and Curiosity: Strong familiarity with LLMs, model APIs, evaluation methods, and the evolving AI ecosystem. A genuine drive to explore new AI models, tools, and techniques — and understand how they can create value for users in the long run.Communication: Exceptional interpersonal communication, Ability to clearly articulate complex technical concepts to diverse stakeholders.Preferred QualificationsExperience working with multiple AI providers and incorporating their capabilities into product experiences.Knowledge of AI benchmarking frameworks, evaluations and model leaderboards.

false

Junior Legal Analyst - AI Hybrid - Sydney (Redfern office) We're surfing the biggest wave in enterprise tech – the AI revolution. As the regtech industry rockets toward a $50 billion future, we're proudly flying the Australian flag on the global stage.Think about it: Design has Canva. Projects have Trello. Now, Compliance has Haast. About Haast We’re not just talking about AI – we’re building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams today.For the last 2 years, we’ve been transforming how organisations handle compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform helps legal, compliance, and marketing teams revolutionize their operations with up to 80% faster reviews and a 4x boost in productivity.The Role: Legal AI AnalystAs a Junior Legal AI Analyst at Haast, you’ll be right at the heart of our mission, helping to shape the future of agentic compliance automation by bridging your know-how with our cutting-edge AI platform. You’ll be at the intersection of law and AI, helping shape the future of agentic compliance automation. This is a hands-on role spanning implementation, customer success, legal research, and cross-functional collaboration.Impact you'll makeImplementation & SupportDeploy our enterprise-grade LLM solutions for new and existing clients.Partner with Product and Engineering to meet evolving legal and compliance needs.Streamline tedious review processes so professionals can focus on strategic work.Customer OnboardingGuide new users through a smooth and efficient onboarding process.Create and refine onboarding resources that boost client productivity.ResearchMonitor evolving regulations and compliance best practices to inform product updates.Conduct targeted legal research to shape AI capabilities and maintain accuracy.Cross-Functional CollaborationTranslate client needs into actionable product requirements.Share customer insights to influence product roadmaps and AI model development.Documentation & ReportingContribute to case studies, white papers, and internal knowledge resources.Track and analyse AI performance metrics to drive continuous improvement.What you'll bringMust-HaveCurrently studying or recently completed a Law degree (LLB, JD, LLM) or similar legal foundation.Strong legal research and writing skills with the ability to simplify complex regulations.Organised, detail-focused, and able to manage multiple priorities.Great communicator with a collaborative, client-first mindset.Nice to HaveExposure to legal tech, AI, or compliance tools.Experience in marketing approvals, regulatory risk, or compliance projects.Familiarity with Agile tools (e.g., Linear, Jira, Trello) or other project management systems.Startup or SaaS experience.Basic technical understanding of data workflows or AI concepts.Why HaastLead the evolution from dull, traditional SaaS to AI-powered workflowsBuild enterprise-grade AI technology that major institutions trust – and love!Sydney-based with flexible work arrangements (because life happens).Real responsibility and impact – no “coffee runs” hereCollaborative, engineering-driven culture where learning and professional development are at the forefrontWork with cutting-edge AI techReady to apply? If you’re ready to kickstart your career at the intersection of law and AI, apply today. We hire for potential, not just experience, so if this role excites you, we’d love to hear from you. At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, let's chat!

false

About YuppWe are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product -- one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us.Why Join Yupp?Are you ready to have the ride of a lifetime together with some of the smartest and most seasoned colleagues? You’ll work on challenging, large-scale problems at the cutting edge of AI to build novel products that touch millions of users globally, in a massive and growing market opportunity.Yupp’s founding team is highly experienced and comes from companies like Twitter, Google, Coinbase, Microsoft and Paypal. This team is one of the smartest, most fun, cracked top talent you will ever work with. Our work culture provides a high degree of autonomy, ownership and impact. It’s intense and isn’t for everyone. But if you want to build the future of AI alongside others who are at the top of their game and expect the same from you, there’s no better AI startup to be.At Yupp, you will experience both the excitement of building for a large scale global user base as well as for the deeply technical audience of AI model builders and researchers. You’ll get immersed in and learn all about the latest and greatest AI models and agents. You’ll interact with AI builders and researchers from other AI labs all around the world.We are a mostly in-person startup, but we are also flexible – you can usually work from home when you need to and come in and leave when you want to. Many employees work from home on average 1 day a week.Job SummaryWe are seeking a talented and experienced Infrastructure Engineer to join our team. The ideal candidate will have a strong background in cloud infrastructure, specifically GCP or AWS, and a proven track record of designing, deploying, and managing scalable and secure cloud environments. You will work closely with engineers, and product managers to ensure our infrastructure meets the needs of our applications and services. This role requires strong technical expertise, problem-solving skills, and the ability to work collaboratively in a fast-paced environment.ResponsibilitiesDesign and deploy scalable, reliable, and secure infrastructure solutions on GCP/AWS.Manage cloud infrastructure components, including virtual machines, storage, networking, and databases.Implement and maintain Infrastructure as Code (IaC) using tools like Terraform, Ansible, or Cloud Deployment Manager.Automate infrastructure provisioning, scaling, and management processes.Monitor and optimize infrastructure performance, availability, and cost.Collaborate with development teams to integrate infrastructure solutions into CI/CD pipelines.Ensure infrastructure compliance with security best practices and regulatory requirements.Troubleshoot and resolve infrastructure-related issues and provide ongoing support and maintenance.QualificationsMinimum 3 years of experience in infrastructure engineering or related roles.Strong expertise in GCP/AWS and its services (e.g., Compute Engine, Cloud Storage, VPC, Cloud SQL).Proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, Cloud Deployment Manager).Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD, Cloud Build).Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience.

true

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.

false

About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here. About the role HeyGen is seeking a product marketer to own the end-to-end process of turning new product releases into impactful, market-ready campaigns. This role combines product fluency with creative instincts for trends, storytelling, and distribution. You will work closely with product managers to define positioning, shape narratives, and package launches into campaigns that resonate with our target users. The right candidate will understand how to operate at the intersection of product marketing and cultural relevance. You will bring an informed view of what is resonating in AI, video, and the creator economy, and be able to weave those trends into launch stories that feel timely, authentic, and differentiated.   What you’ll do Create the launch story - define naming, taglines, angles, and narratives that make people want to try it now. Partner with product managers to understand new features, user impact, and competitive context. Define positioning and messaging that captures both functional value and cultural resonance. Equip the content & growth teams with clear briefs, messaging guides, and asset direction that scale across channels. Package launches into structured campaigns with clear deliverables, messaging frameworks, and content direction for distribution teams. Manage the end-to-end launch activation process in collaboration with design, growth, and content teams. Keep a pulse on what’s resonating in the AI, video, and creator ecosystems — and weave those trends into launches. What makes you a good fit 2+ years in product marketing, growth marketing, or related launch-heavy roles in high-growth technology companies. Proven ability to run multiple product launches from concept to execution in a fast-paced environment. Strong capability to translate technical features into clear, compelling stories for diverse audiences. Awareness of current trends in AI, video, and creator ecosystems, with the ability to incorporate them into marketing strategies. Comfortable balancing strategic planning with rapid execution. Highly collaborative, with experience working across product, engineering, design, and marketing. Strong writing and storytelling skills across formats and channels. Why this role is compelling You will directly shape how HeyGen’s innovations are introduced to the market. You will combine product marketing fundamentals with creative, trend-aware campaign design. You will have the opportunity to create launch narratives that influence both adoption and brand perception. You will work in a high-velocity environment where creativity, execution, and cultural awareness all matter. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools. Salary Range $130,000-$150,000 annually Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

true

SUPERHUMAN 👉We exist so that professionals end each day feeling happier, more productive, and closer to achieving their potential.Our customers get through their inboxes twice as fast; many see inbox zero for the first time in years.Today we are…The fastest email experience in the worldLoved and adored: see what our customers say📣 We've joined forces with Grammarly to build the AI-native productivity suite of the future, with Superhuman as the central communication layer. This partnership accelerates our mission to help professionals achieve their potential — now at even greater scale.Come shape the future of email, communication, and productivity!BUILD LOVE 💜At Superhuman, we deeply understand how to build products that people love. We incorporate fun and play; we infuse magic and joy; we make experiences that amaze and delight.It all starts with the right team — a team that deeply cares about values, customers, and each other.CREATE MASSIVE IMPACT 🚀We're not solving a small problem, and we're not addressing a small market. We're going after email; the one activity that consumes more of our work day than any other.Our ambition doesn't stop there. Next: calendars, notes, contacts, and team communication. We are building the productivity platform of the future.DO THE BEST WORK OF YOUR LIFE 🌟We have created the frameworks for how to build product market fit and redefined the narrative of how to onboard customers successfully. We have shown the world it’s possible to build a premium productivity brand. Our investors included Andreessen Horowitz, First Round Capital, IVP, Tiger Global Management, Sam Altman, and the founders of Gmail, Dropbox, Reddit, Discord, Stripe, GitHub, AngelList, and Intercom.This time, we’re swinging beyond the fences and fundamentally rethinking how individuals and teams should collaborate. We are building a household brand and a worldwide organization. We are here to do the best work of our lives, and we hope you are too.ROLE 👩🏽‍💻👨‍💻As a Product Marketing Manager, you will own the go-to-market strategy for two of Superhuman's most important product bets: AI and Calendar. You'll craft category-defining narratives, lead high-impact launches, and collaborate across Product, Design, Sales, and Customer Success to drive adoption, retention, and revenue growth. From influencing product direction through research to executing flawless launches, you'll play a crucial role in bringing our most innovative ideas to market—and ensuring their success.Drive Calendar Product Marketing: Lead GTM strategy, including customer segmentation, messaging, betas, and product launches, for our dedicated Calendar experience. Shape the narrative for this emerging product area to deliver customer value and fuel growth for the business.Support AI Go-to-Market Strategy: Develop positioning, messaging, onboarding, and in-product guidance for Superhuman’s AI features to increase activation and usage. Drive customer acquisition impact through targeted launches and campaigns.Customer Research & Insights: Deepen our understanding of target users across technology and professional services workflows. Use qualitative and quantitative research, competitive intel, and feedback loops to improve product/market fit and influence roadmap priorities.Cross-Functional Collaboration: Work with Product, Design, Marketing, Sales, and Success leaders to align priorities, shape launch timing, and champion insight-led advocacy across the company.Decision-Making Ownership: Own day-to-day GTM plans, positioning, and messaging for AI and Calendar products. Drive key adoption and usage metrics, and collaborate on prioritizing features that deliver the most customer and business impact.SOUND LIKE YOU? 🙌Experience: You likely have 3–5 years of experience in product marketing, with a track record of launching product and owning go-to-market strategies from concept to launch. Your background includes crafting positioning and messaging, leading cross-functional launches, and driving adoption and engagement for new product features. Experience in zero-to-one product work — particularly in AI-powered tools or calendar products — is a plus.Strategic Thinker – You analyze complex problems and develop innovative solutions. You anticipate market trends, adapt strategies quickly, and thrive in zero-to-one product environments, balancing priorities across multiple product pods.Customer & Market Insightful – You deeply understand customer needs and synthesize research to guide roadmap and GTM priorities. You know how to spot differentiation opportunities, and you may bring bonus expertise in Calendar products or AI-powered productivity tools.Product Positioning and Messaging – You craft compelling, category-defining product stories that cut through noise. You align messaging with the brand, differentiate in crowded markets, and collaborate closely with executives on storytelling.Product Development & Go-to-Market Planning – You partner with Product and Design during early development to influence the roadmap, then create and execute GTM strategies that drive adoption, retention, and revenue. You excel at managing multiple overlapping launches and iterating quickly based on feedback.Data-Informed Decision Maker – You define and track adoption, engagement, and retention metrics. You interpret complex data to guide GTM decisions and communicate insights clearly to stakeholders.Cross-Functional Influencer – You build trust and alignment across Product, Design, Sales, CS, Marketing, and partner organizations. You influence without direct authority and navigate competing priorities with ease.Versatile Operator – You adapt quickly, moving between strategy and execution with minimal oversight. You take ownership of ambiguous problems and deliver end-to-end results across a wide range of business and product challenges.AI Enthusiast: You believe AI will revolutionize how we work as well as the experiences that we create for our customers. Driven by passion and curiosity, you leverage AI to dramatically increase your own productivity and the impact of your team.SALARY INFO 💸Our starting salaries for this role range from $123,000-$170,000 USD . The salary range does not reflect total compensation, which includes base salary, benefits, and company stock options.You might notice our salary ranges are quite broad - that's because we are hiring for this role across the United States and Canada. We tailor our compensation to each location to make sure we're competitive in every market.We take a location-based pay approach and compensation for this role is dependent on several factors such as location, work experience, job-related skills, business needs, and market demands.BENEFITS 🎁We're open to hiring talented individuals in the United States and Canada. While specific benefits vary slightly by location, we're committed to providing equitable, comprehensive benefits for all team members.Taking Care of Your Future 🙏Comprehensive medical, dental, and vision coverage for you and your familyMental health support and counseling servicesRetirement savings plans with employer matchingLife and disability insurance coverageGenerous Time Off 🏝Generous paid vacation days and public holidaysComprehensive parental and caregiver leave policiesInvesting in Your Growth ✍️Professional development budget for courses, training, and booksRegular feedback and career development check-insSetting You Up For Success 🧑🏻‍💻👩🏾‍💻MacBook Pro laptop for your workStandard setup with monitor, keyboard, and mouse/trackpadGenerous budget to make your workspace your ownAt Superhuman, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

false

Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Customer Success Manager, LATAM you’ll play a critical role in guiding our LATAM clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market LATAM clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveSpanish and English proficiencyExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$125,000 - $145,000 OTEHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

false

Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role: As a Full Stack Engineer at Replit, you'll be at the forefront of building products that empower developers to create software more effectively. You'll help develop intuitive interfaces and powerful backend services that enhance the user experience across our platform. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our users to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact.In this role you will:Drive full-stack feature development from conception to deployment, taking ownership of key product initiativesCollaborate on design and implementation of user-facing features that improve developer experienceBuild robust, scalable, and performant web applications using modern frontend and backend technologiesIdentify opportunities for optimization and enhancement in existing systemsContribute to architectural decisions that shape the future of our productWork cross-functionally with product, design, and platform teams to deliver cohesive user experiencesRequired skills and experience:Solid full-stack foundation: from building React components to developing APIs to integrating with third party services.Strong proficiency with TypeScript, React, and modern frontend development practicesExperience working directly on user-facing products and understanding user needsStrong problem-solving skills and attention to detailExcellent communication skills and ability to work cross-functionallyNice to have:Experience with AI/LLM integration in applicationsBackground working with developer tools, IDEs, or programming environmentsPrevious experience at a high-growth startupContributions to open-source projectsTools + Tech Stack for this role:React, TypeScript, GraphQLThis role may not be a fit if:You prefer working exclusively on backend systems without user interactionYou're uncomfortable with the pace and changing priorities of a startup environmentYou require highly structured requirements and aren't comfortable with ambiguityFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program ⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonoumous Work Environement 🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at Replit Operating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

true

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.

false

Technical Project Manager, Handshake AIAbout the JobWe are looking for detail oriented and experienced Technical Project Managers to join the Handshake AI team. In this role, you will manage complex projects and work with experts to build datasets to train and evaluate AI models.Your RoleSupport execution of high-impact customer data collection pipelines, ensuring steady progress and measurable outcomes.Collaborate with Strategic Projects Leads and others to align on project timelines, deliverables, and quality standards.Build and execute assessment strategies (tests, rubrics, pass/fail gates) to ensure only top talent is onboardedOwn delivery KPIs such as accuracy, velocity, contributor utilization, and report them via live dashboards.Develop and optimize infrastructure for data pipelines to ensure quality, scalability, and operational efficiency.Support and manage globally distributed teams of expert LLM contributors through training, coaching, and hands-on guidance.Design and implement analytics to inform decision making and improve pipeline and team performance.Conduct quality reviews to maintain annotation accuracy and consistency.Design and manage systems to keep stakeholders informed through regular updates, analytics, and project and platform recommendationsYour Experience2+ years of experience in research, consulting, data science, or business.Fluent English in both written and verbal communicationStrong proficiency in Excel/Sheets & SQLExceptional attention to detail and organizational skills.Ability to manage multiple projects simultaneously and work effectively across time zones.Bonus areas of expertiseProven experience managing distributed teams or contributor pods.Familiarity with data annotation pipelines and machine learning workflows.Extensive experience with SQL or other database languages.Strong analytical and process improvement experience.Traits we are looking forStrategic Thinking: Ability to identify and act on growth opportunities.Clear Communication: Effectively present complex insights to diverse audiences.Detail Oriented: Commitment to maintaining high standards of data accuracy.SelfStarter: Someone who thrives in a fast paced, evolving environmentAdaptability: Thrive in a fast paced, evolving environment.Problem Solving: Proactive, results-driven approach with creative solutions to challenges.Working Hours You will work closely with your United States counterparts, matching their hours to ensure seamless collaboration. All teams (US and India) are expected to work 12 hours per day, 6 days a week, with required overlap with US time zones.