Find AI Work That Works for You

false

📐 About this roleAs the Director of WRITER production support, you will lead the function that guarantees the operational success of our customers' mission-critical WRITER Agents. This is a unique leadership role with a dual mandate: first, to build and lead a world-class human support organization, and second, to architect the AI-driven future of that organization by agentifying our own support processes on the WRITER platform.Your first-hand experience building and delivering AI agents makes you uniquely qualified to lead this team. You understand the complexities of production AI from the inside out. You will be responsible for supporting everything from standardized vertical solutions to the highly complex, custom agents that power our customers' core operations, all while turning your own department into a showcase for AI-powered efficiency.This is a rare opportunity to build the support organization of the future, from the ground up. You will not just be managing a team; you will be a player-coach, a strategist, and a builder, creating a function that is both a world-class human support team and a living testament to the transformative power of the WRITER platform itself.🦸🏻‍♀️ Your responsibilities:Build the WRITER support team: Recruit, hire, and mentor a team of platform support engineers, prioritizing candidates who share a builder's mindset and a deep curiosity for how WRITER Agents work. You will define the hiring profile for individuals who can effectively triage and debug issues within the WRITER.AI ecosystem, from platform-level configurations to the behavior of individual WRITER Agents.Agentify our own support: Develop and execute a roadmap to transform our support function using the WRITER.AI platform. You will "eat our own dog food," building a suite of internal agents to automate triage, diagnosis, knowledge retrieval, and resolution, creating a model for AI-driven operational excellence.Design the agent support process: Architect our entire production support workflow, establishing definitive, AI-first escalation paths. This includes creating specialized triage processes for custom complex agents that directly involve the original builders when necessary.Own the agent knowledge base: Champion and build our technical knowledge base, with a focus on making this knowledge accessible to both human engineers and the support agents you build.Be the voice of the customer in crisis: Serve as the incident commander during P0 issues, leveraging your deep technical understanding of WRITER agents to guide your team and communicate with credibility and confidence.Drive platform & agent Insights: Implement and own all support metrics. You will analyze data from both human- and agent-led resolutions to provide the WRITER product organization with unparalleled insights into platform reliability and customer pain points.⭐️ Is this you?An experienced technical support leader: You have 7+ years of experience in technical support, with at least 3 years spent managing a team in an enterprise PaaS or API-first environment.A support transformation leader: You have a proven track record of not just managing a support function, but fundamentally transforming it using automation and AI. You have personally used an AI platform to agentify and improve support workflows.A proven AI builder: You have demonstrable, hands-on experience building and delivering AI agents or similar complex AI solutions. You have likely been an AI Architect, , a Solutions Architect, or held a similar role in the past. You don't just manage the technology—you have built it.Technically credible & hands-on: You are adept at navigating bespoke software and understand that custom agents have unique failure modes. Your past experience as a builder gives you immediate credibility with engineering and delivery teams.A process builder: You love creating order from chaos and have a proven track record of designing scalable support processes, ticketing workflows, and SLAs for a technical product.A cross-functional partner: You are skilled at working with and influencing teams you don't directly manage to ensure the stability of the entire WRITER.AI ecosystem. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

false

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.What You’ll DoHelp to build Lambda’s cloud networking infrastructureContribute to automation of network configurationWill be part of operations and on-call for networkingWork with internal and external customer to resolve network related issuesWork on deploying and configuring networking HW, Switches, FWs, for new clustersHelp with deploying and maintaining network monitoring and management toolsYouHave 3+ years of experience in IT space, and 1+ in managing networksHave experience with virtualization technology, like ESXi, KVM, and VMs managementHave experience with FW policies configurationsHave experience with multi-data center networks and hybrid cloud networksHave understanding of BGP EVPN VXLAN networks, Spine and Leaf (Clos) network topologyAre comfortable on the Linux command line, and have an understanding of the Linux networking stack and internalsHave python and/or bash programming experience and worked with git or similar source control systemsNice to HaveExperience with Monitoring/Observability tools like Datadog, Splunk, Grafana, PrometheusHave experience building and maintaining Software Defined Networks (SDN)Experience with HPC networking, such as Infiniband or RoCEExperience automating network configuration within public clouds, with tools like Terraform/Ansible/SaltExperience with Next-Generation Firewalls (NGFW)Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

📐 About this roleAs the Director of WRITER production support, you will lead the function that guarantees the operational success of our customers' mission-critical WRITER Agents. This is a unique leadership role with a dual mandate: first, to build and lead a world-class human support organization, and second, to architect the AI-driven future of that organization by agentifying our own support processes on the WRITER platform.Your first-hand experience building and delivering AI agents makes you uniquely qualified to lead this team. You understand the complexities of production AI from the inside out. You will be responsible for supporting everything from standardized vertical solutions to the highly complex, custom agents that power our customers' core operations, all while turning your own department into a showcase for AI-powered efficiency.This is a rare opportunity to build the support organization of the future, from the ground up. You will not just be managing a team; you will be a player-coach, a strategist, and a builder, creating a function that is both a world-class human support team and a living testament to the transformative power of the WRITER platform itself.🦸🏻‍♀️ Your responsibilities:Build the WRITER support team: Recruit, hire, and mentor a team of platform support engineers, prioritizing candidates who share a builder's mindset and a deep curiosity for how WRITER Agents work. You will define the hiring profile for individuals who can effectively triage and debug issues within the WRITER.AI ecosystem, from platform-level configurations to the behavior of individual WRITER Agents.Agentify our own support: Develop and execute a roadmap to transform our support function using the WRITER.AI platform. You will "eat our own dog food," building a suite of internal agents to automate triage, diagnosis, knowledge retrieval, and resolution, creating a model for AI-driven operational excellence.Design the agent support process: Architect our entire production support workflow, establishing definitive, AI-first escalation paths. This includes creating specialized triage processes for custom complex agents that directly involve the original builders when necessary.Own the agent knowledge base: Champion and build our technical knowledge base, with a focus on making this knowledge accessible to both human engineers and the support agents you build.Be the voice of the customer in crisis: Serve as the incident commander during P0 issues, leveraging your deep technical understanding of WRITER agents to guide your team and communicate with credibility and confidence.Drive platform & agent Insights: Implement and own all support metrics. You will analyze data from both human- and agent-led resolutions to provide the WRITER product organization with unparalleled insights into platform reliability and customer pain points.⭐️ Is this you?An experienced technical support leader: You have 7+ years of experience in technical support, with at least 3 years spent managing a team in an enterprise PaaS or API-first environment.A support transformation leader: You have a proven track record of not just managing a support function, but fundamentally transforming it using automation and AI. You have personally used an AI platform to agentify and improve support workflows.A proven AI builder: You have demonstrable, hands-on experience building and delivering AI agents or similar complex AI solutions. You have likely been an AI Architect, , a Solutions Architect, or held a similar role in the past. You don't just manage the technology—you have built it.Technically credible & hands-on: You are adept at navigating bespoke software and understand that custom agents have unique failure modes. Your past experience as a builder gives you immediate credibility with engineering and delivery teams.A process builder: You love creating order from chaos and have a proven track record of designing scalable support processes, ticketing workflows, and SLAs for a technical product.A cross-functional partner: You are skilled at working with and influencing teams you don't directly manage to ensure the stability of the entire WRITER.AI ecosystem. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

false

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryWe are seeking a Principal Product Manager – Networking to define and scale the networking backbone of Lambda’s AI Cloud. This role covers critical services such as Direct Connect, Virtual Private Cloud (VPC), and Load Balancing, while advancing high-performance networking for AI and HPC workloads using InfiniBand, RDMA, and low-latency Ethernet.As the networking PM, you will shape the services that connect customers securely and efficiently to Lambda, enable distributed training across thousands of GPUs, and ensure the reliability and performance needed for enterprise adoption. This is a principal-level role with broad technical and strategic impact across Lambda’s cloud platform.What You’ll DoDesign Lambda’s Networking Backbone: Own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers.Advance High-Performance AI Networking: Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.Deliver Enterprise-Grade Connectivity: Build private, reliable, and secure networking for enterprise and hybrid environments — from subnets and routing to NAT, peering, and global traffic management.Ensure Security, Reliability & Compliance: Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.Partner Across Lambda & the Market: Collaborate with engineering, infrastructure, and solutions teams to launch customer-ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda’s differentiated roadmap.You:10-12+ years of product management experience, with significant focus on networking or cloud infrastructure.Proven experience owning networking services (Direct Connect, VPC, Load Balancers) in a cloud, hyperscaler, or large-scale infrastructure environment.Deep understanding of HPC/AI networking, including InfiniBand, RDMA/RoCE, and high-performance Ethernet.Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value.Track record of launching and scaling customer-facing networking products with measurable adoption and reliability outcomes.Nice to HaveHands-on experience with Kubernetes networking at scale.Familiarity with SmartNICs, DPUs, or advanced offload technologies.Background in AI or HPC workload optimization and distributed systems.Exposure to storage networking (e.g., NVMe-oF over RDMA).Salary RangeThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoAs a Forward Deployed Engineer, you’ll be on the frontlines with our largest prospects and customers deploying Resolve in complex environments and ensuring our technology delivers real-world impact. You’ll partner closely with our Go-To-Market team during high-stakes POCs, bridging deep technical execution with customer-facing collaboration.In this role, you will:Lead end-to-end technical deployments of Resolve within customer environments, from scoping through production readiness.Work directly with GTM and customer engineering teams during large-scale POCs to ensure adoption and success.Troubleshoot, configure, and optimize deployments across cloud, observability, and infrastructure stacks.Serve as a trusted technical advisor to customers, understanding their observability and reliability challenges and guiding best practices.Collaborate with product and engineering to translate field learnings into roadmap priorities and reusable patterns.Build automation, scripts, and integrations that accelerate deployment and improve repeatability.What We’re Looking ForWe’re seeking a rare blend of engineer, customer partner, and problem solver. The ideal candidate has lived the pain of running production systems and thrives at the intersection of observability, software engineering, and customer delivery.4+ years of professional software engineering or site reliability engineering experience.Hands-on experience with observability tools (e.g., OpenTelemetry, Datadog, Splunk, Prometheus, Grafana, etc.).Strong system-level understanding of cloud infrastructure (AWS, GCP, Kubernetes).Track record of success in customer-facing or solutions engineering roles (Forward Deployed Engineer, Sales Engineer, or similar).Ability to simplify complex technical problems and communicate them clearly to both engineers and business stakeholders.Comfort operating in high-stakes, ambiguous environments where speed and quality both matter.Bonus: prior experience as an observability practitioner or Sales Engineer.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

true

Sr Backend/LLM Ops Engineer Role at Fuse FinanceFuse is a high-growth New York City startup revolutionizing financial services infrastructure through an innovative low-code tool. Backed by top-tier venture capital, the company is creating a transformative self-service platform for configuration, integration, and automation in financial technology. We are now expanding our capabilities to leverage artificial intelligence in revolutionizing how financial services workflows and integrations are built.Position OverviewWe are seeking a Senior Backend engineer with hands-on experience with LLM ops to spearhead our artificial intelligence agents initiatives, focusing on leveraging generative AI to enhance our low-code platform capabilities. This role combines deep technical expertise in Backend development with practical experience in implementing AI agents solutions, particularly in generating and optimizing low-code workflows, user interfaces, and data schemas.Key ResponsibilitiesThe Senior Backend/LLM ops Engineer will drive the development and implementation of AI-powered features across our platform. Core responsibilities include:Building and optimizing AI agent pipelines that leverage leading language models and AI services to enhance our low-code platform capabilities.Developing sophisticated agentic workflows to ensure high-quality answers of our AI systems, with a particular focus on domain knowledge from low-code data sources.Designing and implementing AI agent systems that can effectively generate and validate use case specific workflows, user interfaces, and data schemas.Creating robust evaluation frameworks to measure and improve the quality of AI-generated outputs within our platform.Collaborating with product and engineering teams to seamlessly integrate AI capabilities into our existing platform architecture.Establishing best practices for AI implementation, including monitoring, versioning, and continuous improvement of models.Essential QualificationsAdvanced degree in Computer Science or related field, with 8+ years of relevant experience in Backend Development and proven hands-on experience implementing AI agents workflows.TypeScript, NodeJS.Large Language Model integration (GPT, Claude, Gemini, Grok) and prompt engineeringAI agents evaluation.Ai agents workflows pipeline design and implementation.Git version control and prompt versioning management.Cloud-based AI SDKs (GPT, Claude, Gemini, Grok)RESTful API design principlesDatabase models designs.Architectural patterns.Basic understanding of concepts related to authorization and authentication within an AI agents environment.Proven track record of implementing production-grade AI systems that deliver measurable business value.Technical ExpertiseStrong foundation in:Large Language Processing and Language Model (LLM)Machine Learning Operations (LLMOps)Agents evaluation and optimization (deepchecks, openAI Evals, Langsmith and similar)Cloud computing platforms (preferably AWS)SQL querying and optimization.ETL processing and integration..RESTful API integration, management and design.Software development best practicesProject Experience RequirementsPrevious success in:Implementing and fine-tuning large language modelsBuilding agentic centered workflow pipelines.Developing generative AI applications.Creating automated testing and validation frameworks for AI systems.Documentation and knowledge sharing of AI agents systems.Ideal CharacteristicsThe ideal candidate will demonstrate:Innovation in applying AI to solve complex business problemsStrong analytical and problem-solving abilitiesExcellence in technical communicationAbility to balance technical depth with practical implementationEnthusiasm for low-code platforms and their potentialCommitment to ethical AI development practicesTechnical EnvironmentLanguages: Typescript/Node.jsAI/ML Frameworks (Like Lanchain, LlamaIndex, Haystack, FlowWise)Cloud Infrastructure: AWSPostgreSQL.Version Control: GitCI/CD: GitHub ActionsNice to havePython and its ML/AI ecosystem (PyTorch, TensorFlow, Pandas or similar).FE experience.Impact OpportunityThis role offers the unique opportunity to:Shape the future of low-code development through AI innovationBuild next-generation financial services automation toolsWork with cutting-edge AI technologies and methodologiesDrive technical decisions that impact product directionMentor team members in AI implementation best practicesThe Selection ProcessSilver ScreeningSilver Technical Interview Client Willo InterviewClient Technical TestTech Lead InterviewSystem Design InterviewCTO Interview

true

Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You thrive on building systems from the ground up, not just maintaining themYou understand that good infrastructure is the difference between theoretical and practical MLYou balance pragmatism and ambition—knowing when to push for scale and when to shipYou’re excited by the challenge of turning complex ML capabilities into intuitive productsDesired Experience:Proven track record of architecting and scaling systems from scratchDeep understanding of modern software architecture and best practicesExperience deploying ML-powered systems in real-world production environmentsStrong opinions about engineering practices—backed by hard-earned lessonsAbility to decide when to build vs. when to leverage existing toolsWhat You'll Actually Do:Architect and implement full-stack solutions for both internal platforms and customer-facing productsDesign and scale backend services that enable robust ML model deploymentBuild deployment infrastructure that runs seamlessly across cloud and on-premise environmentsDevelop interfaces that make complex ML systems accessible and usableEstablish workflows that accelerate ML research-to-deployment cyclesCollaborate closely with Product and ML teams to iterate quickly and effectivelyWhat You'll Gain:The chance to architect foundational systems at a true greenfield stageDirect collaboration with exceptional ML researchers and product buildersInfluence over critical technical decisions that will define Liquid’s trajectoryThe opportunity to shape how enterprises deploy efficient AI models at scaleAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

true

This role is remote and can be executed globally. However, to facilitate working with the growth team, we prefer candidates based in GMT-4 to GMT+3.About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the RoleWe are seeking a communications & public relations professional to help package the incredible work that is happening across the company into a set of compelling narratives that resonate with our customers and community. This will be a challenging, fast paced role that has you at the center of all of the amazing partnerships and product research coming out of the company.You'll partner closely with growth, engineering, research, and our leadership team to deliver world-class content. Specifically, you will:Leverage your relationships with media outlets to secure top-tier media coverageManage the company news & announcements coming from our owned channels (socials & blog) and ensure the team maintains a consistent tone and brand voice across our commsHelp prioritize the incredible inbound speaking engagement requests and proactively outreach to get great placementsEstablish a set of thought leaders across the company by seeding them with content ideas for their socials and coaching them on talking points for live eventsRequirementsThis is a high autonomy, high impact, and high growth role. The ideal candidate must have a passion for technology, AI Audio, and voice-first interfaces. Additionally, we are looking for someone who:Previous comms/marketing experience at a high growth SAAS/AI company preferredExceptional written, oral, interpersonal, and presentation skillsCan understand & speak to both highly technical developer audiences and non-technical enterprise and creator audiencesHas strong attention to detail and sweats the details when it comes to contentHas relationships with, and experience pitching, prominent tech news outletsIs able to navigate both traditional media while also being up to date on emerging channels that may be better suited for reaching our target audiencesLikely spends a good portion of their day reading tech news across platforms#LI-Remote

true

This role is remote and can be executed globally. However, to facilitate working with the team, we prefer candidates based in EU timezones.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleWe are looking for someone who will help shape the future of AI voices by creating, evaluating, and curating cloned voices for our global library. You’ll work at the intersection of creativity and technology, ensuring every voice meets the highest standards of quality, diversity, and realism. The challenge: turning raw audio data and AI outputs into expressive voices that people actually want to use.Ideal archetype: a creative ear with technical rigor — someone who lives in sound, loves experimenting with voice, and knows how to judge what feels authentic.Curate a growing library of voices across languages, accents, and stylesEvaluate AI-generated voices for naturalness, expressiveness, and usabilityMix and match recordings to push the boundaries of what’s possible with cloned voicesBalance creative instincts with consistent quality standardsRequirementsSkilled in working with audio — creation, editing, or evaluationAbility to judge subtle differences in tone, clarity, and accentOrganized, comfortable curating at scale: building structured collections, not just one-offsBonus:EU time zone for collaboration is a plusMusic, dubbing, or sound design backgroundMultilingual ear for accents and natural speechExperience working with creative agencies or voice talent

false

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a Robotics Technician to help sustain and improve Skild’s internal robot operations. In this role, you will take ownership of complex diagnostics, repairs, and design improvements to keep our robotic systems running smoothly. You will work closely with AI and robotics engineers, as well as operations managers, to ensure technical issues are quickly identified, root-caused, and resolved—driving reliability and scalability across our fleet. Responsibilities Diagnose, troubleshoot, and repair complex mechanical, electrical, software, and perception system issues across a large fleet of robots. Collaborate with engineers to identify recurring issues, recommend design improvements, and enhance serviceability. Communicate technical findings clearly and contribute to documentation, repair manuals, and troubleshooting guides. Perform CAD design, prototype fabrication, and robotic hardware assembly. Improve embedded control systems and implement electromechanical and perception systems. Conduct root cause analysis, debugging, and testing for sensors, edge compute devices, and control systems. Build dashboards (Looker, Tableau) and develop automation scripts in Python and Linux. Maintain detailed records of repairs, maintenance activities, and recurring technical issues. Preferred Qualifications 5+ years of full time work experience in relevant industry Strong experience in diagnosing and repairing mechanical, electrical, and software systems. Proficiency in CAD design and prototype fabrication. Familiarity with embedded control systems, perception technologies, and electromechanical components. Excellent communication skills for cross-functional collaboration. Experience supporting large fleets of robots or complex automated systems.  

false

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking an experienced design leader to define the future of our AI Products suite, transforming how businesses leverage AI. You'll lead the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, our enterprise intelligence platform, and 0→1 AI-native products. This role requires deep expertise in LLM system architecture and strong opinions about what makes exceptional enterprise AI user experiences. As Product Design Lead for AI Products, you'll join an experienced, tight-knit, and collaborative group who love combining research, data, and intuition into user-centered design. You'll have an outsized impact on how knowledge workers interact with AI daily, shaping experiences that fundamentally transform how companies access knowledge, create content, and make decisions. You will: Lead AI Products design strategy owning Glean's AI suite including research agents that retrieve and synthesize information, creation tools for AI-generated artifacts, and our enterprise intelligence platform that mines organizational knowledge. Translate LLM complexity into intuitive UX developing deep expertise in model capabilities and constraints, creating understandable, trustworthy experiences that build appropriate mental models. Create AI-powered research and creation experiences enabling employees to generate documents, presentations, and visualizations that are grounded in company data, follow brand guidelines, and maintain accuracy through intelligent citations. Create AI-powered research and creation experiences that synthesize cross-functional data, write documents, make presentations, and output visualizations that are grounded in company data, follow organizational guidelines, and maintain accuracy through intelligent citations. Drive 0→1 product innovation systematically identifying opportunities for AI-native products, rapidly prototyping breakthrough experiences, and scaling solutions that deliver step-changes in productivity Partner with product and engineering leaders to shape product capabilities, understanding technical constraints while pushing boundaries of what's possible in enterprise AI Guide team excellence, mentoring 3-4 senior designers while establishing clear design principles, incorporating user research to understand AI adoption patterns, and ensuring designs drive measurable outcomes About you: Experience: 10+ years in product design, including 3+ years designing AI/ML products, preferably LLM-based applications. AI expertise: Deep hands-on experience with LLM systems, translating system capabilities into intuitive, user-friendly enterprise products. Technical fluency: Strong background enabling detailed discussions about AI architecture, model capabilities, and implementation tradeoffs with engineering teams. Portfolio: Examples leading the design of sophisticated AI products at scale, ideally including agent-based systems, content generation tools, or intelligence platforms Leadership & impact: Track record of shipping successful AI products with measurable impact on user productivity and satisfaction, while guiding and mentoring other designers Location: This role is hybrid (4 days a week in our Palo Alto or San Francisco office, with periodic travel expected between the two) Compensation & Benefits: The standard base salary range for this position is $235,000 - $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

false

Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. Overview Join Horizon3 to help pioneer AI Offensive Security (AI OffSec)—where machine learning and cybersecurity collide. We’re seeking junior engineers with a strong AI/ML foundation—especially those eager to explore reinforcement learning (RL) and modern model-tuning methods—to build intelligent agents that probe networks, discover vulnerabilities, and emulate real adversaries. You’ll help design, train, and test AI systems that continuously learn to think and act like attackers.Essential FunctionsDevelop AI systems for vulnerability detection and autonomous security testingDesign and train reinforcement-learning and fine-tuning workflows (e.g., PPO, LoRA/QLoRA) to improve automated security agentsAutomate security testing pipelines with Python and modern ML frameworksContribute to feature development from concept through deployment, including model evaluation and experiment trackingIdentify and document vulnerabilities in AI-native applications and LLM workflowsResearch emerging AI security threats, prompt-injection tactics, and adversarial MLDocument findings and help build a technical knowledge base Core Competencies / RequirementsBachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related fieldStrong Python skills and comfort with data-science libraries (NumPy, pandas, scikit-learn)Foundational knowledge of AI/ML concepts and frameworks (PyTorch, TensorFlow, or JAX)Exposure to reinforcement learning or similar methods (deep Q-learning, PPO) through coursework, labs, or projectsUnderstanding of model training life cycle: data prep, feature engineering, and evaluationExperience with Linux environments and Git version controlInterest in cybersecurity and ethical hackingStrong problem-solving and clear communication skillsMust be located in or willing to relocate to the Indianapolis metropolitan area Desired / Nice to HaveHands-on projects fine-tuning LLMs or training LoRA/QLoRA adaptersExperience with vector databases or retrieval-augmented generation (RAG)Familiarity with AI security topics (model inversion, adversarial attacks)Internship or academic work in reinforcement learning or autonomous agentsContributions to open-source RL or adversarial-ML projectsExperience with Docker and containerized ML ops (Docker/Kubernetes)Experience with cloud platforms (AWS, Azure, or GCP)Security certifications (Security+, etc.) or active pursuit of themParticipation in CTF platforms (Hack The Box, TryHackMe, etc.) or AI/ML competitions (Kaggle) What We OfferDeep Mentorship: Work side-by-side with experienced engineers to master real-world AI security pipelinesCareer Growth: Opportunity to become a core technical leader as our AI offensive security stack expandsHybrid Flexibility: 2–3 days a week in our Indianapolis office with flexible remote optionsCompetitive Entry-Level Compensation: Full benefits including health, vision, and dental Ideal MindsetEager to learn and grow in both AI and cybersecuritySelf-motivated, detail-oriented, and collaborative Curious “hacker mindset” with a drive to experiment and break things safely Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

false

Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. AI Engineering @ IroncladIronclad is accelerating its AI initiatives to transform how contracts are built, managed & executed across an organization. We're looking for a AI/ML Engineer to help shape the future of legal AI. In this role, you’ll work with cutting-edge technologies such as Context Engineering, LLM Tuning / Post Training, Evaluation Frameworks to develop state-of-the-art models and intelligent systems that power product features used by leading legal teams.You’ll partner closely with product managers and designers to translate user needs into AI-powered product capabilities. You’ll also lead efforts in model evaluation, iteration, and deployment—ensuring our systems are robust, explainable, and continuously improving. As part of our end-to-end ownership model, you’ll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production.What you'll be doing:Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customersImplementing backend services that power document understanding, classification, and natural language search2 years of previous experience exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision2 years of previous experience designing and maintaining robust systems for context management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability2 years of previous experience developing and scaling retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflowsHelp build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoringPartner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent featuresRequired skills:BS or advanced degree in Computer Science, Engineering, or a related fieldExperience working with large language models (e.g., GPT, Claude) or building RAG systemsExperience with embedding models and vector databasesExperience in training, evaluating, and serving AI/ML models7+ years of hands-on experience with Python, backend service development, and RESTful APIsExperience in NLP techniques such as text classification, entity extraction, document understanding, or question answeringProficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)Experience with cloud platforms (e.g., GCP, AWS, Azure)Solid understanding of Git or other version control systemsStrong engineering fundamentals and attention to code quality, testing, and maintainabilityExcellent communication and collaboration skillsPassion for building AI products that solve real-world customer problemsSNice to have:Familiarity with Vertex AI or other managed ML platformsExperience working with PDF and DOCX parsing for document ingestionComfort with Docker and containerized developmentFamiliarity with CI/CD systems (e.g., GitHub Actions, CircleCI)Monitoring and observability with tools like Datadog or equivalentExperience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySparkBenefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range - Senior: $180,000 - $200,000Base Salary Range - Staff: $210,000 - $235,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

false

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As a Backend Engineer, AI Data Platform at Labelbox, you will lead the design and development of our core data infrastructure, powering the seamless flow, storage, and processing of data for our AI platform. Your expertise will drive the evolution of scalable systems—anchored by high-performance databases—to support large-scale workflows, high-throughput data I/O, and streaming capabilities. You’ll enable Labelbox customers to efficiently manage and stream data for training next-generation AI models. Owning critical components of our data infrastructure, including database architecture, you’ll work end-to-end on projects from design to deployment. Collaborating cross-functionally with stakeholders, you’ll transform ideas into robust, scalable solutions that enhance platform adoption and customer success. Your Impact Design and build scalable data infrastructure, integrating high-performance databases (relational, NoSQL, cloud-native) with distributed systems for data processing, storage, and streaming. Optimize database systems for performance, reliability, and scalability, ensuring efficient data retrieval, indexing, and querying to support AI workflows. Develop and maintain data pipelines using distributed queues, message brokers, and job management mechanisms to enable high-throughput import/export operations. Collaborate with team members and stakeholders to align data infrastructure with platform goals and customer needs. Participate in Sprint Planning, Standups, and related activities to drive data-focused initiatives forward. Mentor and guide less experienced engineers, sharing expertise in data infrastructure and database optimization. Support the team’s area of ownership by working with the Support organization to resolve customer-facing data issues. Stay abreast of industry trends in data infrastructure and database technologies, incorporating relevant innovations into our systems. Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums. Innovation in AI: Enhance data infrastructure capabilities for an AI platform used by leading AI labs to develop powerful multi-modal large language models (LLMs). What You Bring Bachelor’s degree in Computer Science, Data Engineering, or a related field. Advanced degree preferred. 2+ years of work experience in a software or data-focused company, with significant expertise in data infrastructure and backend engineering. Deep knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB). Strong experience with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores). Proficiency in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows. Previous experience with distributed systems tools (e.g., queues, message brokers like Kafka or RabbitMQ, job orchestration frameworks) for real-time data processing and other use cases.. Previous experience with search engines (e.g., ElasticSearch). Knowledge of backend development using languages like Python, Java, or TypeScript; familiarity with NodeJS and NestJS is a plus. Proficient in data structures, algorithms, and system design for large-scale data management. Demonstrated ability to keep up with trends in data infrastructure and database technologies. Excellent communication and collaboration skills. Strong sense of ownership and ability to thrive in a fast-paced environment. Comfortable with ambiguity, breaking down high-level requirements into actionable data infrastructure tasks methodically. Resourceful problem-solver with attention to detail, eager to take initiative and deliver results. High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot). Nice to Have Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery). Experience with container orchestration systems (e.g., Kubernetes) for deploying data infrastructure components. Experience with one or more public cloud platforms: Google Cloud Platform (GCP) (preferred) Amazon Web Services (AWS) Microsoft Azure Understanding of the Data + AI ecosystem and its relevance to large-scale AI platforms. Knowledge of memory management and optimization in data-intensive systems. Experience with DevOps tools (e.g., ArgoCD, DataDog) for monitoring and managing data infrastructure. Previous experience using LLM backed AI services such as from OpenAI, Anthropic, Google, etc. to develop product features. Engineering at Labelbox At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems. Our Technology Stack Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency: Frontend: React.js with Redux, TypeScript Backend: Node.js, TypeScript, Python, some Java & Kotlin APIs: GraphQL Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes Databases: MySQL, Spanner, PostgreSQL Queueing / Streaming: Kafka, PubSub Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$160,000—$260,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

false

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Partner Success Director at Abridge, you will play a vital role in ensuring the satisfaction, adoption, and expansion of our solutions within our customers. You will be a core member of the commercial team and work closely with clinicians, administrators, and key stakeholders to understand their needs, provide ongoing support and guidance, and drive the successful utilization and expansion of our products and services.What You’ll DoClinician Success:Build and maintain strong relationships with clinicians and healthcare professionals across enterprise customers.Act as a trusted advisor to clinicians, offering guidance and best practices to enhance their productivity, efficiency, and patient outcomes.Understand user workflows, pain points, and objectives to align our solutions with their needs.Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions.Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions.Monitor and track clinician satisfaction and adoption rates, proactively identifying opportunities for improvement and driving engagement initiatives.Customer Expansion:Collaborate with the sales team to identify expansion opportunities with existing customers, outlining goals, milestones, and action plans.Conduct regular business reviews with key stakeholders to assess product performance, user feedback, and identify opportunities for additional value-add solutions.Present new features, upgrades, and solutions to clients, highlighting their potential benefits and ROI.Track customer expansion metrics and contribute to revenue growth targets.Partner Success Advocacy:Support all clinician users and serve as the voice of the customer internally, sharing insights, feedback, and success stories to drive product and service improvements.Collaborate with cross-functional teams, including sales, marketing, and product, to deliver a seamless customer experience.Contribute to the development of partner success resources, such as knowledge bases, training materials, and partner success stories.What You’ll BringProven experience as a Customer/Partner Success Director or Customer Success/Partner Manager5+ years of experience working in or with enterprise health systemsStrong understanding of the healthcare ecosystem, including the dynamics and challenges faced by large health enterprises and clinicians.Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels.Technical aptitude and ability to quickly understand and effectively communicate complex software solutions.Strong problem-solving skills, with a proactive and results-oriented mindset.Ability to multitask and manage multiple client relationships simultaneously.Familiarity with CRM software and customer success tools is a plus.Strong organizational and project management capabilities.***This role requires up to 20% travel******This role must be based in Pittsburgh***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

true

At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.The Machine Learning team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation.  We define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines.  What you'll doLeading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growthActively engaging in all aspects of development, from ideation and experimentation to implementation and deploymentCollaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goalsWhat you'll bring5+ years of software development experience in ML infra, ML tooling, or products with ML usagePreferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)Excellent communication skills and a vivid imaginationPassion about engineering and team cultureYou love tackling ambiguous technical problems and developing solutions to problems with significant impactYou are an independent thinker and like to own and solve complex problemsYou are interested in exploring the nuance and aesthetic of conversations#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

true

About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Principal AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impactLead groundbreaking research initiatives in GenAI by identifying high-impact problems, designing innovative experiments, and developing solutions that advance both theoretical understanding and practical applications.Drive strategic decision-making processes by contributing to technology assessment, roadmap planning, and identifying areas for innovation that align with Articul8's business objectives.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Mentor and guide junior team members and help building a strong culture of rapid innovation.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 8+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 3+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.

false

About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Design Engineer at Console, you’ll be responsible for the touches that make our product feel like magic. You will work closely with the product and design, and build out the front-end infrastructure that will separate Console from our competitors.Some examples of work you might do:Build a smooth and performant agent UX with streaming responses and interleaved UI componentsDesign, extend, and own Console's design system Find screens, views, and components that could use a bit of animation flair, then dial it inYou'll straddle the boundary of design and engineering, applying your own taste and creativity and helping bring the product vision to life in beautiful detail.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have strong generalist design and technical skills, and you know how to maximize your impact to make the product feel great and work wellYou have excellent taste; you understand that the best product experiences feel great to use and you care deeply about getting the little details rightYou have experience driving all the way from idea -> design -> implementationYou have a strong front-end skillset, have worked with and built out design systems, and are comfortable collaborating closely with other designersRequirements4+ years of full-time design or design engineering experience, and a strong grasp on front-end engineeringComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

true

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   As the Senior Regulatory and Quality Specialist, you will be a key member of PathAI’s Regulatory and Quality (RAQA) Team, ensuring compliance to the company’s Quality Management System and to pre- and post-market regulations that pertain to PathAI’s RUO, IVD, and clinical products. You will be responsible for representing RAQA in company-specific projects for diagnostic and clinical development services and will be involved in process improvement efforts, participate in audits as needed, and may be responsible for maintaining/managing key QMS processes (e.g., document control). You will provide risk and regulatory assessments during design control and change control activities and participate in the development and submission of filings to regulatory agencies in the US, EMA, and other geographies. The ideal candidate brings knowledge in regulatory affairs and quality assurance, preferably in the context of AI-driven diagnostic software, and thrives in a fast-paced, high-growth environment. What You’ll Do Regulatory strategy, submissions, reviews Build and execute global regulatory plans; prepare and coordinate pre-subs, 510(k)s, de novos, PMAs, and ex-US filings; participate in agency interactions.   Shape registration strategy and author the technical file/design dossier content in partnership with Product, ML, Clinical, and Engineering. May review and approve product promotional material and customer notifications to ensure alignment with regulatory status. Quality system   Maintain and improve QMS processes aligned to FDA QSR/21 CFR 820, ISO 13485, ISO 14971, IEC 62304, and related standards; monitor new/updated regulations and flow them into the QMS. Participate as subject matter expert in customer audits, certification body audits and regulatory inspections as needed. Design controls &SaMD lifecycle Guide teams through design inputs/outputs, V&V, risk management, usability, design transfer, and clinical/labeling impacts; review design documentation for compliance throughout the product life cycle.   Cross-functional enablement Serve as the day-to-day RAQA partner to Product/ML/Engineering/Clinical/LabOps, resolving issues that affect project timelines. What You Bring   Experience: 5+ years of progressive experience in regulatory affairs and quality assurance in IVD medical devices, preferably SaMD with AI/ML Demonstrated participation in regulatory submissions for FDA Class II/III devices and some ex-US regulatory experience (e.g., EMA IVDR Class A-C); experience with CDx submissions is a plus Working knowledge of global regulatory standards, including FDA QSR, ISO 13485, IVDR, and ISO 14971. Experience authoring and reviewing QMS documentation (e.g., procedures, protocols, reports) Educational Background: Bachelor’s degree in engineering, physical, or life sciences (advanced degree preferred) Skills & Competencies: Strong organizational skills with the ability to manage multiple projects in a dynamic environment. Ability to manage details effectively while contributing to broader regulatory strategies. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams. Demonstrated success working within and maintaining FDA/ISO compliant Quality Systems 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.      #LI-Remote