AI Software Engineer Jobs

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.Firsthand is looking to hire a Senior Director, Marketer Sales to drive adoption of Brand Agents with senior marketers at the world’s leading brands.In this pivotal role, you'll educate, evangelize, and drive adoption of a transformative new marketing model: “agents, not ads.” You’ll lead strategic sales to brand-side marketing executives, serve as a consultative partner across innovation and media teams, and help fully commercialize Firsthand’s marketer offering. You'll also collaborate across Firsthand’s buyside motions, supporting publisher campaigns and identifying strategic agency partnerships.You are a seasoned commercial leader with a strong grasp of marketing, media, and technology. You bring experience in ad networks or programmatic, the ability to navigate complex organizations, and the entrepreneurial mindset to shape the offering as you sell it. You're comfortable engaging both business and technical stakeholders and thrive in early-stage environments where the path isn't fully paved.The ideal candidate will be located in the New York metropolitan area. Key ResponsibilitiesLead strategic marketer engagements: Act as the point person for existing marketer-direct relationships, advancing relationships and identifying opportunities to deepen impact.Drive the direct-to-marketer motion: Engage CMOs, Heads of Innovation, and digital marketing leaders to position Brand Agents as a strategic lever for long-term brand and consumer engagement.Develop the marketer offering: Help define and operationalize Firsthand’s holistic offering for marketers, contributing to early commercialization strategy, vertical prioritization, product feedback, and business model development (pricing, contracts, implementation).Lead strategic pitches: Own and lead marketer-focused pitches to build the 2026 pipeline.Collaborate across publisher and agency motions: Partner with internal teams to identify leverage points across publisher demand and emerging agency relationships.Run a disciplined pipeline: Forecast accurately, manage multi-stakeholder deals with rigor, and close high-value opportunities.Act as a strategic partner: Provide structured insights to product and leadership teams to inform positioning, vertical strategy, and GTM readiness.Qualifications10+ years of sales experience, ideally across martech, adtech, or mediaTrack record of success selling to brand-side marketers at large, matrixed organizationsExperience working in or closely with ad networks and programmatic platforms; understanding of agency dynamics a plusAbility to engage both technical and marketing stakeholders, including product, data, and legal counterpartsComfortable in early-stage, pioneering environments; you know how to shape a product while selling itStrategic, scrappy, and adaptive, with strong communication skills and executive presenceEntrepreneurial mindset: excited to help build and refine the offering—not just run the playbookHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleAs a Member of Technical Staff, Field Eng at Anyscale, you will be the technical face of our company and biggest advocate for our customers. You’ll work closely with sales, product management, and engineering to ensure that our product has the right experiences and shape to drive value in customer engagements.  The ideal candidate will be a scrappy executor, able to work independently, and lead complex POVs with our users as they adopt Anyscale and Ray. You’ll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You’ll be fundamental in helping us disrupt what it means to build distributed applications at scale.  Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences – whether it’s the C-suite or an individual engineer.As part of this role, you'll be involved inBuilding awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platformKnowing Ray from end-to-end and educating customers on how to use RayWorking with customers as they build applications on RayKnowing the ML landscape and toolsets that are at the forefront of cutting edge techWorking cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our usersHelping us identify potential improvements and gaps in our product and prioritizing features through the development processEfficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales processDriving crisp communication about our products and services, both internally and externallyWorking alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and RayWe'd love to hear from you if you have5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultantStrong technical skills. You should have working knowledge of Python fundamentals, as well as the ability to learn Ray and build Ray applications with various librariesExperience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologiesExperience in public cloud and enterprise infrastructureCustomer success orientation. You are able to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions over the lineCross-functional collaboration with technical stakeholders, including Engineering and ProductCompensation:At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent.  As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents401k Retirement PlanEducation & Wellbeing StipendPaid Parental LeaveFertility BenefitsPaid Time OffCommute reimbursement100% of in-office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer program team through a multi-phase implementation involving business discovery, technical setup, and user training Guide and enable customers on their contact center AI journey with our software Deliver tailored customer training sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer, end-user) Manage client expectations, project timelines, documentation deliverables, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Collaborate cross-functionally with Sales, Product, Marketing, and Customer Success to improve services delivery and customer experience What you'll bring to the role 5+ years of work experience implementing SaaS software Comfort in user-centered communications and facilitating technical problem solving Basic understanding of speech analytics and quality management software and processes Experience in a customer-facing role with clear deliverables and stakeholder management Proficiency in coaching and facilitation skills Training experience is highly preferred Demonstrable analytical, problem-solving, and time management skills Experience in the Software & Platform industry Experience managing complex customer implementations Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $100,000 - $135,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-REMOTE

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

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

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.The APM owns each step in the AI Agent build lifecycle. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You will own and drive your customer builds and help shape the overall product roadmap by being the voice of the customer.About the RoleWe’re looking for a Strategic APM that thrives in a highly autonomous environment. You’re product-minded, scrappy, can drive highly complex projects across cross-functional teams, and are comfortable building relationships with some of the largest brands in the world.Given their size, these strategic accounts often present the challenge of complexity, requiring the navigation of customer stakeholders across org charts. A successful Strat APM will be able to navigate this complexity seamlessly and develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders).APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. You’ll have the opportunity to dive deep into complex business problems, build elegant solutions and then scale them out to millions users, all while being part of the founding Strat APM team. This role is ideal for future founders, general managers, and business unit leaders.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos for DecagonYour background looks something like thisHave 8+ years of relevant experience. This includes but is not limited to:Senior manager or equivalent at a top-tier consulting or other professional services firmPartner at an investing firmSenior product leader or group product managerDeep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.An MBABenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$240K – $285K + Offers Equity

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.The APM owns each step in the AI Agent build lifecycle. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You will own and drive your customer builds and help shape the overall product roadmap by being the voice of the customer.About the RoleWe’re looking for a Strategic APM that thrives in a highly autonomous environment. You’re product-minded, scrappy, can drive highly complex projects across cross-functional teams, and are comfortable building relationships with some of the largest brands in the world.Given their size, these strategic accounts often present the challenge of complexity, requiring the navigation of customer stakeholders across org charts. A successful Strat APM will be able to navigate this complexity seamlessly and develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders).APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. You’ll have the opportunity to dive deep into complex business problems, build elegant solutions and then scale them out to millions users, all while being part of the founding Strat APM team. This role is ideal for future founders, general managers, and business unit leaders.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos for DecagonYour background looks something like thisHave 8+ years of relevant experience. This includes but is not limited to:Senior manager or equivalent at a top-tier consulting or other professional services firmPartner at an investing firmSenior product leader or group product managerDeep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.An MBABenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$240K – $285K + Offers Equity

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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 RoleAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio.  Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.   Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.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. It's Important to Us That You HaveStrong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learningDeep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalitiesProven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficientlyDemonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversityTrack record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insightsExperience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniquesHistory of open-source contributions or research publications that have advanced the state of the art in speech/language AI How We Generated This Job DescriptionThis job description was generated in two parts.  The “Opportunity”, “Role”, and “Challenge” sections were generated by a human using Claude-3.5-sonnet as a writing partner.  The objective of these sections is to clearly state the problem that Deepgram is attempting to solve, how we intend to solve it, and some guidelines to help you decide if Deepgram is right for you. Therefore, it is important that this section was articulated by a human.  The “It’s Important to Us” section was automatically derived from a multi-stage LLM analysis (using o1) of key foundational deep learning papers related to our research goals.  This work was completed as an experiment to test the hypothesis that traits of highly productive and impactful researchers are reflected directly in their work. The analysis focused on understanding how successful researchers approach problems, from mathematical foundations through to practical deployment. The problems Deepgram aims to solve are immensely difficult and span multiple disciplines and specialties. As such, we chose seminal papers that we believe reflect the pioneering work and exemplary human characteristics needed for success. The LLM analysis culminates in an “Ideal Researcher Profile”, which is reproduced below along with the list of foundational papers.  Ideal Researcher ProfileAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. 1. Statistical & Mathematical FoundationsMastery of Core ConceptsMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.Combining Existing Theories in Novel WaysPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.Logical Reasoning and Assumption TestingAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., "scaling data leads to zero-shot robustness" or "straight-line noise injection improves sample efficiency") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses. 2. Algorithmic Innovation & ImplementationCreative Solutions to Known BottlenecksEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.Turning Theory into PracticeWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.Clear Impact Through Prototypes & Open-SourceMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress. 3. Data-Driven & Scalable SystemsEmphasis on Large-Scale Data and Efficient PipelinesPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., "data optimal regime") can yield high performance even in smaller models.Strategic Use of Data for Staged TrainingA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance. 4. Hardware & Systems UnderstandingEfficient Implementations at ScaleMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.Real-Time & On-Device ConstraintsSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.Architectural & Optimization DetailsPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. 5. Rigorous Experimental DesignControlled Comparisons & AblationsNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.Multifold Evaluation MetricsFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.Stress Tests & Edge CasesWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and "red-team" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities. SummaryOverall, an ideal researcher in deep learning consistently demonstrates:A solid grounding in theoretical and statistical principlesA talent for proposing and validating new algorithmic solutionsThe capacity to orchestrate data pipelines that scale and reflect real-world diversityAwareness of hardware constraints and system-level trade-offs for efficiencyThorough and transparent experimental practicesThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning. Foundational PapersThis job description was generated through analysis of the following papers:Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)Scaling Laws for Neural Language Models (arXiv:2001.08361)BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)Neural Discrete Representation Learning (arXiv:1711.00937)SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)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.

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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.

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

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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.

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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.

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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.

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

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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.

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

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will design, build, and refine the product experience that serves as the best showcase of what our powerful APIs are capable of. You will build the developer API playground that developers love to use. You will ensure our front-end is fast, reliable, and delightful to use, while maintaining a codebase that’s scalable and easy to evolve.You: Are an expert at modern front-end frameworks, maintainable UI architecture, and building UIs that feel fast and snappy. You care about your work feeling seamless and intuitive to users, and about building interfaces that have the highest level of polish.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.Job Description NICE is looking for an exceptional AI-focused Solutions Architect to join our team. As an AI Solutions Architect, you will play a vital role in enhancing our contact center solutions through the development of prompt engineering, AI application frameworks, and cloud infrastructure services. You will work in a collaborative team environment to explore and create solutions to industry problems using state-of-the-art large language models and generative AI. You bring to this team environment several years’ experience in software development, generative AI, and the curiosity and grit to see a project to delivery. Responsibilities Help diagnose and resolve issues with production prompts. Work with customer-facing stakeholders to capture customers' goals for generative AI applications. Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders. Build and optimize application prototypes that leverage generative AI. Stay informed of the latest advancements in AI application development and tools. Minimum Skills and Experience Minimum of 1 year of experience working with generative AI applications. Minimum of 3 years of experience working in production software development. Minimum of 3 years of experience working with AWS resources. Excellent proficiency in Python programming including automated test. Familiarity with best practices in prompt engineering. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Additional Desired Skills and Experience Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask. Experience working on international, globe-spanning teams. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.