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Scale AI accelerates the development and deployment of frontier AI across industries and governments. In the public sector, our mission extends beyond technology—we drive AI transformation through trust-building, change enablement, and capacity development.  We’re building a new discipline focused on AI adoption, upskilling, and change management that empowers government partners to confidently deploy and scale AI solutions. The Enablement Program Lead is a core role in this vision, turning strategy into execution across national-level initiatives. As an Enablement Program Lead, you will be the operational anchor for upskilling and enablement across AI use cases. You’ll lead the rollout of onboarding kits, training cycles, and early adopter programs that help public sector teams activate and sustain AI solutions. You’ll collaborate cross-functionally with PMs, delivery teams, and government stakeholders to ensure that human enablement keeps pace with technical deployment with adoption as the end goal. This is a high-impact role for someone who thrives in dynamic environments, can navigate government complexity, and knows how to drive real change from the ground up. You will: Own enablement rollouts post-scoping—partner with PMs to deliver onboarding kits, pilot training cycles, and early adopter programs (EAPs). Coordinate learning material delivery across engagements, ensuring public sector teams are set up for successful adoption. Develop customer/end user success material including UX/UI feedback guides, surveys, analyse insights to be shared with the PM Establish and manage enablement hubs (e.g., shared drives), tracking training engagement and surfacing learning gaps. Drive storytelling and change narratives, helping stakeholders understand the “why” behind AI transformation. Track impact and iterate on enablement strategies using structured feedback and stakeholder insights. Ideally you'd have: 5+ years experience in program or project management, preferably in public sector transformation, digital adoption, or consulting. Proven ability to lead complex, multi-stakeholder rollouts, with a focus on government clients or highly regulated industries. Comfortable operating between strategic thinking and execution—you set direction and also get things done. Skilled in facilitation, change management, and stakeholder relationship-building. Familiar with behavioral change models, and how to translate them into field-ready interventions. Strong written and verbal communication skills in English, with fluency in Arabic considered a strong plus. Comfortable navigating ambiguity, complexity, and fast-paced execution. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking an experienced Software Engineering Manager with a history in the development of storage protocols and distributed storage systems to lead a team of Storage Software Engineers and Distributed Systems Engineers in the design, development, and optimization of cutting-edge distributed storage solutions. Your team will be responsible for building high-performance, scalable, and reliable implementations of object, block, and file protocols, specifically tailored to serve performance demanding AI training and inference workloads. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing software engineers focused on delivering distributed storage protocols.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for our distributed storage protocols (e.g., S3, NFS, iSCSI) and their underlying distributed systems.Oversee the development of highly optimized storage solutions designed to meet the performance demands of AI/ML workloads (e.g., high throughput, low latency, optimization for AI workload access patterns).Lead the team in tackling complex distributed systems challenges, including concurrency, consistency, fault tolerance, and data durability across multiple data centers.Guide engineering team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Deeply understand the performance bottlenecks of existing storage systems and guide the team in developing innovative solutions to overcome them.Lead the team in supporting customers.Cross-Functional Collaboration:Work closely with AI/ML research and products teams to understand customers storage needs and translate them into technical requirements.Work closely with the product engineering team to deliver high quality products to customers to meet their unique needs.Collaborate with product management to define the product roadmap and prioritize features.Work closely with HPC Architecture, Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage protocols to serve AI/ML workloads.Partner with fleet engineering and platforms teams to ensure seamless deployment, monitoring, and maintenance of the distributed storage protocols.Work in lock-step with the Storage Engineering team to provide reliable storage products on top of a variety of physical storage solutions.Innovation & Research:Stay current with the latest trends and research in distributed systems, storage technologies, and AI/ML hardware/software advancements.Work with the Lambda product team to uncover new trends in the AI inference and training product category.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in software development, with at least 5+ years in a management or lead role in storage software engineering.Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing and implementing distributed storage systems.Experience with storage protocols serving storage volumes at a scale greater than 20PB.Experience developing and tuning distributed storage protocols across scaling challenges using namespacing, sharding, and caching strategies.Familiarity with deploying and running applications on Kubernetes or other container orchestration systems (e.g., AWS ECS, Hashicorp Nomad).Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Technical Skills:Knowledge in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience in languages such as C++, Go, Rust, or Python.Familiarity with modern storage technologies (e.g., NVMe, RDMA) and their role in optimizing performance.Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with storage solutions.Distributed Systems Knowledge:Solid understanding of distributed systems concepts, including consensus algorithms (e.g., Raft, Paxos), distributed caching, failure recovery, consistency models (e.g., eventual consistency), fault tolerance, data replication, load balancing, and distributed consensus algorithmsPeople Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Demonstrated delivery of distributed storage protocols in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage protocols serving storage volumes at a scale greater than 100PB.Implementation of distributed storage protocols backed by a variety of storage solutions, performance-tuned for AI/ML workloads.Experience driving cross-functional engineering management initiatives (coordinating deployments, strategic planning, coordinating large projects).Technical Skills:Deep expertise in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Strong programming skills in languages such as C++, Go, Rust, or Python.In-depth knowledge of operating system internals, including file systems, caching, and I/O scheduling.AI/ML Domain Knowledge:Experience working with AI/ML training and inference frameworks (e.g., TensorFlow, PyTorch).Understanding of the unique data access patterns and performance requirements of AI workloads.Distributed Systems Knowledge:Proven ability to design and debug highly concurrent and fault-tolerant systems.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.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.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do:Drive the operational framework to build with and support our customers: As a foundational member of our Technical Program Manager function at Sierra, you will be responsible for partnering with our Agent Development Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.In this role, you will engage with all levels of our customers’ businesses and internal partners to:Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Co-own project planning process including creating and prioritizing roadmaps, aligning milestones and expected outcomes, and identifying and mitigating risks.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to project and internal team decisions.Collaborate with internal cross-functional teams to share out periodic updates about our customers.What you'll bring:Project Management Skills: Deep experience leveraging project management methodologies and tools to masterfully orchestrate projects from planning to delivery, ensuring on-time completion.Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Organizational Systems: Experience implementing and using project management applications like Height, Asana, Notion, Atlassian or others.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USD  Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is seeking a Sales Engineer (SE) with strong technical expertise to join our growing sales team. Candidates with solid coding ability, while excelling at communicating with non-technical audiences are ideal, as our primary users are Product Managers, Designers, and Operations professionals who use Replit’s AI coding agent to build business apps and new products.This position encompasses both pre- and post-sales support, working closely with our Account Executive and Account Managers throughout the customer lifecycle and spanning all segments from SMB to Enterprise. A significant portion of the role involves supporting and travelling to prospective customers to run hackathons with non-engineering teams.This role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for solving business challenges with AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.What You'll DoPartner with Account Executives and Account Managers to provide technical expertise throughout both pre-sales and post-sales customer lifecyclePlan, coordinate, and facilitate hackathons at prospective customer sites (typically 50-200 attendees per event)Travel up to 25% of the time to support on-site customer hackathons and technical engagementsConduct compelling product demonstrations tailored to non-technical audiences (PMs, Designers, Operations teams)Lead technical discovery sessions focused on use cases like prototyping, internal tool development, and workflow automationArticulate how Replit's AI coding agent empowers non-technical users to build applications without traditional codingDesign and present solutions that showcase how teams can leverage Replit for rapid prototyping and internal toolingCreate educational content and workshops for hackathon participants and customer teamsCollaborate with product and engineering teams to address technical questions and gather user feedbackProvide hands-on technical support during customer implementations and onboardingDevelop technical content including demo scripts, hackathon materials, and use case documentationStay current with Replit's evolving AI capabilities and new features for non-technical usersRequired Skills & Experience3+ years of experience in a Sales Engineer, Solutions Engineer, or technical sales role, preferably in SaaS or no-code/low-code toolsStrong coding skills at minimum entry-level/junior software engineer proficiencyExceptional ability to communicate complex technical concepts to non-technical audiences (PMs, Designers, Operations teams)Understanding of common business use cases for prototyping, internal tooling, and workflow automationExcellent presentation and demonstration skills with business stakeholders and non-technical usersProven ability to quickly learn and teach AI-powered development toolsStrong problem-solving skills and ability to guide non-technical users through technical challengesComfort with frequent travel (up to 25%) for on-site customer events and hackathonsSelf-motivated with excellent event planning and organizational skillsPassion for democratizing software creation and AI-powered development toolsBonus PointsYou're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedInHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where most of your day is talking to othersYou’re not comfortable with frequent travel (up to one week per month average)Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About the Program The Human Frontier Collective (HFC) brings together domain experts across research, clinical practice, and advanced professional work to contribute to high-impact projects in technology and reasoning systems. As a Medical Fellow, you will apply your clinical training to help develop and evaluate tools that interact with complex medical content. Your work will directly inform how emerging systems reason through diagnosis, triage, and patient care scenarios. PLEASE NOTE: This is a remote, contract-based role. We welcome international applicants based in the EU, Canada, Australia, and New Zealand. Engagements will run for approximately six months with flexible scheduling.  What You'll Do Design Complex Clinical Scenarios Create detailed case studies and clinical reasoning tasks across specialties to test how systems interpret symptoms, assess risks, and prioritize care. Evaluate Decision-Making Approaches Review and critique structured outputs for clinical safety, accuracy, and sound judgment. Identify errors in logic or inappropriate treatment suggestions. Shape Reasoning Frameworks Provide structured, example-driven feedback to improve how models understand differentials, guidelines, and clinical narratives. Work Across Specialized Projects Contribute to targeted workstreams in internal medicine, emergency care, radiology, psychiatry, and other domains aligned with your background. Who Should Apply Graduates of a licensed medical school (MD or DO), who are board certified and in residency / post residency / practicing / or with extensive practice Recent or current clinical experience in inpatient, outpatient, or academic settings Strong writing and clinical reasoning skills, with comfort assessing edge cases and nuanced scenarios Backgrounds welcome from internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields Nurse practitioners, physician assistants, and registered nurses with deep clinical experience may also be considered Fluency in written English is required Why Join the HFC? Contribute to High-Impact Work Apply your medical expertise to problems that require real judgment, not rote recall. Your input will directly influence how complex reasoning tasks are handled. Flexible Remote Work + Competitive Compensation Set your own schedule and contribute from anywhere. Most participants engage between 5-20 hours per week. Pathways for Growth High-impact contributors may be invited to join additional review projects, advisory roles, or research collaborations. How to Apply Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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We are looking for a technically adept Customer Success Manager to bolster our team and ensure the robust health, dependability, and progressive advancement of our platform ecosystem. You will collaborate with external users of our platform, and our internal team of machine learning scientists, protein engineers, and biologists. This role entails comprehensive ownership across the partner-facing aspects of our platform, driving adoption of new features, optimising performance for partner integrations, and developing roadmaps for internal feature development.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.Who You Are:You have a strong understanding of SaaS platforms and the ability to troubleshoot customer issues.You hold a bachelors degree or above in CS, engineering, ML or biology OR equivalent industry experience in a technical roleYou hold excellent written and verbal communication skills to effectively communicate technical and biological concepts to partners.You are a natural relationship builder, building and maintaining strong relationships with partners, and to work effectively with cross-functional teams.You are strong with analysing data, identifying trends, and developing strategies for improving partner performance, such as triaging feature requests and contributing to internal product roadmaps.You have the ability to adapt to changing partner needs and to learn new technologies quickly. What Sets You Apart:You have a background in biology and a keen understanding of AI solutions for life sciences and pharmaYour Responsibilities:Partner Onboarding and Adoption: Guiding partners through the initial stages of using the technology solution, ensuring they understand how to integrate it effectively and achieve desired outcomes.Technical Support and Troubleshooting: Responding to partner inquiries, addressing technical issues, and escalating complex problems to the appropriate internal teams.Product Development: Collect user feedback and triage feature requests, working with our internal team to develop roadmaps for future releases.,Configuration and Optimization: Helping partners configure and optimise their use of our platform to maximise its value.Relationship Management: Building and maintaining strong relationships with partners, acting as a trusted advisor and ensuring their needs are met.Performance Monitoring and Reporting: Tracking partner adoption rates, identifying areas for improvement, and reporting on key performance indicators (KPIs).Driving Business Growth: Working with partners to identify opportunities for growth and expansion, and to increase the overall value of the partnership.Training and Documentation: Creating and delivering training materials and documentation to ensure partners are well-equipped to use the technology solution effectively.You represent Latent Labs at key industry events spanning AI, biotechnology, and pharmaceuticals, including conferences and forums. Actively engage with prominent thought leaders to maintain a strong understanding of the evolving landscape of AI-driven drug discovery.Foster connections within the wider AI and biotech ecosystems, establishing Latent Labs as a respected voice in the field. Build a community by developing and nurturing relationships with academic researchers, AI experts, and other significant figures in the drug discovery sector.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As an Avionics Systems Engineer for Mission Systems, you will be responsible for the development and delivery of mission computing hardware, working closely with industry partners. You will be responsible not only for defining the system, but also driving it through all development stages and ultimately onto the flying platform. In achieving this goal you will work with a diverse, high-calibre team of experts, strategists and partners. The day-to-day Lead the technical development of high performance Mission Computer Hardware in close collaboration with internal teams and partners Plan and lead the execution of the systems engineering lifecycle, from requirements development to qualification. Plan and lead the preparation of technical deliverables and documentation Plan test activities and support the development of test facilities Create the certification and compliance documentation and ensure adherence to aviation and regulatory standards throughout the development lifecycle Work closely with internal and external stakeholders Provide regular reporting on project status and technical changes to Chief Engineering and Programme Management You should apply if you Hold a relevant degree such as a Bachelor's or Master's in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field Have led the design and development of Integrated Modular Avionics (IMA) computing platforms for airborne mission computers, including tasks related to systems engineering, certification, and avionics integration Are a subject matter expert in military open standards for avionics, for example, MOSA, SOSA, FACE and Pyramid and their application to hardware development Have a deep knowledge of the development of avionics complex HW & SW development and have experience in the application of DO-178C, DO-254 and DO-297 standards Have operational experience with mission systems is an advantage Possess excellent communication skills and the ability to report and present results clearly and effectively to both internal and external stakeholders. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking a seasoned Storage Engineering Manager with experience in the specification, evaluation, deployment, and management of HPC storage solutions across multiple datacenters to build out a world-class team. You will hire and guide a team of storage engineers in building storage infrastructure that serves our AI/ML infrastructure products, ensuring the seamless deployment and operational excellence of both the physical and logical storage infrastructure (including proprietary and open source solutions).Your role is not just to manage people, but to serve as the ultimate technical and operational authority for our high-performance, petabyte-scale storage solutions.Your leadership will be pivotal in ensuring our systems are not just high-performing, but also reliable, scalable, and manageable as we grow toward exascale.This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing storage engineers delivering HPC, petabyte-scale storage solutions.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for Lambda distributed storage solutions.You will lead storage vendor selection criteria, vendor selection, and vendor relationship management (support, installation, scheduling, specification, procurement).Manage team in storage lifecycle management (installation, cabling, capacity upgrades, service, RMA, updating both hardware and software components as needed).You will guide choices around optimization of storage pools, sharding, and tiering/caching strategies.Lead team in tasks related to multi-tenant security, tenant provisioning, metering integration, storage protocol interconnection, and customer data-migration.Guide Storage SREs in development of scripting and automation tools for configuration management, monitoring, and operational tasks.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Lead the team in supporting customers.Cross-Functional Collaboration:Collaborate with the HPC Architecture team on drive selection, capacity determination, storage networking, cache placement, and rack layouts.Work closely with the storage software teams and networking teams to execute on cross-functional infrastructure initiatives and new data-center deployments including integration of storage protocols across a variety of on-prem storage solutions.Work with procurement data-center operations, and fleet engineering teams to deploy storage solutions into new and existing data centers.Work with vendors to troubleshoot customer performance, reliability, and data-integrity issues.Work closely with Networking, Compute, and Storage Software Engineering teams to deploy high-performance distributed storage solutions to serve AI/ML workloads.Partner with the fleet engineering team to ensure seamless deployment, monitoring, and maintenance of the distributed storage solutions.Innovation & Research:Stay current with the latest trends and research into AI and HPC storage technologies and vendor solutions.Guide team in investigating strategies for using Nvidia SuperNIC DPUs for storage edge-caching, offloading, and GPUDirect Storage capabilities.Work with the Lambda product team to uncover new trends in the AI inference and training product category that will inform emerging storage solutions.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in storage engineering with at least 5+ years in a management or lead role.Demonstrated experience leading a team of storage engineers and storage SREs on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing, deploying, and maintaining distributed storage solutions in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage solutions serving storage volumes at a scale greater than 20PB.Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Extensive experience with storage site reliability engineering.Experience with one or more of the following in an HPC or AI Infrastructure environment: Vast, DDN, Pure Storage, NetApp, Weka.Experience deploying CEPH at scale greater than 25PB.Technical Skills:Experience in serving one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience as a storage engineer or storage SRE.Familiarity with modern storage technologies (e.g., NVMe, RDMA, DPUs) and their role in optimizing performance.People Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience with NVidia SuperNIC DPUs for edge-caching (such as implementing GPUDirect Storage).Technical Skills:Deep experience with Vast, Weka and/or NetApp in an HPC or AI Infrastructure environment.Deep experience implementing CEPH in an HPC or AI infrastructure environment at a scale greater than 100PB.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.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.

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About Loop Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role We are seeking a technically adept and proactive team member to join our Post-Production Support team as a Technical Support Architect. This role is critical in ensuring the ongoing stability, performance, and continuous improvement of deployed integration solutions between Loop and our clients’ TMS, FPA, WMS, YMS, ERP, and BI systems. The ideal candidate has hands-on experience with cloud architecture, integration methods (APIs, flat files, EDI), and development in Python or JavaScript. A strong problem-solving mindset, ability to triage and resolve technical issues, and a focus on optimizing support processes are essential. Key Responsibilities Own post-go-live technical support for all deployed integrations, ensuring system uptime, data integrity, and seamless operation between Loop and client systems (TMS, ERP, BI, etc.). Triage, diagnose, and resolve integration incidents and service requests—acting as the technical escalation point for complex issues reported by clients or internal teams. Monitor integration health using observability tools and dashboards; proactively identify and address performance bottlenecks, data syncing issues, or integration failures. Lead root cause analysis for major incidents; document findings, recommend preventive measures, and implement fixes to reduce recurrence. Develop and maintain runbooks, knowledge base articles, and support documentation to empower Tier 1/Tier 2 teams and improve resolution efficiency. Collaborate with Product and Engineering teams to communicate recurring issues, gaps, or enhancement requests—ensuring client feedback directly informs the product roadmap. Deliver targeted training and enablement for client teams and internal support staff on integration best practices, troubleshooting, and system usage. Manage the technical aspects of minor enhancements and patches post-launch, coordinating testing and release with minimal disruption to client operations. Participate in cross-functional incident management processes; lead technical bridge calls during critical outages and ensure transparent, timely client communication. Track and report key support metrics (e.g., MTTR, incident volume, client satisfaction); use data to identify trends and drive continuous improvement in support delivery. Maintain a strong understanding of industry standards and emerging technologies in logistics, ERP, and integration platforms to recommend relevant upgrades or innovations. Qualifications Hands-on experience with cloud-based integration development (Python, JavaScript) and modern DevOps practices. Deep familiarity AWS, AZURE, GCP, and Integration platforms Proven ability to troubleshoot complex integration issues across APIs, flat files, and EDI. Strong organizational skills to manage multiple concurrent support cases and prioritize based on business impact. Excellent communication to liaise between technical teams, clients, and business stakeholders. Proactive, customer-focused mindset with a commitment to operational excellence and continuous improvement. Success Measures Reduction in incident volume and resolution time for integration-related issues. High client satisfaction scores and low escalation rates. Effective knowledge transfer to Tier 1/Tier 2 support teams. Identification and implementation of process improvements that reduce support costs or enhance system reliability. Benefits & Perks Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan, FSA, Commuter benefits Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, or ski membership Salary Range based on experience and skills 130,000 - 150,000 Why You Should Join Loop

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About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Analyst, Enterprise Analytics We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products. As an Analyst on our Enterprise Analytics team, you will work closely with the Hive Media team to support delivery and growth of our media business. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. This is a great opportunity to be an integral part of a fast-growing startup, and you’ll be able to learn the ins and outs of how to support a team of innovative leaders who relentlessly pursue the best experience possible for all of our clients. ResponsibilitiesConduct internal and external analysis on Hive offerings to refine solutions and commercialization strategiesCommunicate outcomes of various projects and analytics to ensure growth and development of business goals Collaborate with machine learning and engineering teams in developing working solutions that benefit the client Enhance awareness in the targeted business community of Hive and our products / servicesMaintain awareness of industry best practices for data maintenance handling as it relates to your roleAdhere to policies, guidelines and procedures pertaining to the protection of information assetsReport actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements You have a Bachelor's degreePreferred: You have 0-1 years of work experience Excellent written and verbal communication skillsYou have demonstrated success in a competitive environmentYou are highly self-motivated and ambitious in achieving goalsStrong team player, but can work and execute independentlyYou’re driven; no one needs to push you to excel; that’s just who you areYou are hungry to learn and you actively look for opportunities to contributeYou are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

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🌁 Location: San Francisco, in-person only💰 Salary: $250k - $500k annual salary + 📈 Equity💻 Languages: 5+ years of experience in Go, Terraform✅ Skills: Building and managing large clusters, Linux, Networking, Kubernetes, Virtualization👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents. 👉 About the roleYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.Your job will be:Building a distributed system for millions and billions of AI agents running on E2BBuilding an orchestrator for placing sandboxes in the right nodesAdding support for sandbox live migrationsMaking sure our self-hosting DX is as smooth as possible (we’re open-source)Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)Scaling to millions and later billions of sandboxes running at the same timeBuilding an observability stack starting at the kernel level of virtual machinesWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!

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About ElevenLabs At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! Who we areA global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. About the roleWe care deeply about SEO. It drives 1+ million users per month to our site, millions of dollars in revenue, and we have an authority score of 69 on SEMRush. However, we're in a huge market that's expanding rapidly, and we've only scratched the surface of what's possible. Now is a critical time for us to scale our content creation efforts to capture more of this opportunity.We're hiring an SEO Content Creator to establish ElevenLabs as the thought leader in AI Audio through strategic, SEO-optimized content creation. You'll create compelling blog posts, use cases, case studies, and landing page copy that not only educates and engages our diverse user base but also drives organic search visibility and traffic growth.Each new product we launch or foundational model we release unlocks thousands more content opportunities. For example, with our Text to Speech models, we need content covering user journeys, use case deep-dives, and educational blog posts that rank for competitive keywords. Now expand this to Voice Changers, Dubbing, Speech to Text, and many more products on our roadmap.You'll work closely with our SEO & Growth team to understand keyword opportunities, search intent, and content gaps. This role combines excellent writing skills with SEO strategy to create content that performs both for users and search engines.Who you areWe're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll thrive with us if you: Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.What you bringMust have:Excellent copywriting skills with a portfolio demonstrating content that has driven measurable SEO resultsStrong understanding of SEO fundamentals: keyword research, search intent, on-page optimization, and content strategyExperience creating content that ranks for competitive keywords and drives organic traffic growthProven ability to write for different audiences and content types (blog posts, case studies, landing pages, use cases)Experience using AI tools and LLMs to scale content creation while maintaining quality and brand voiceStrong analytics/data sense to track content performance and iterate based on resultsAn interest and understanding of the latest happenings in AI and techNice to have:Experience scaling content creation at a high-growth tech companyFamiliarity with SEO tools (SEMRush, Ahrefs, etc.) and content management systemsBackground in B2B SaaS or AI/ML content creationAbility to conduct investigative interviews with team members and customers for case studies and insightsBasic understanding of programmatic content and how to work with technical teamsWhat we offerHigh-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.#LI-Remote

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.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 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. 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 coworking stipend.About the roleWe’re hiring a Developer Relations Engineer. In this role, you’ll play a core part in improving our developer experience — particularly our documentation and example projects. You’ll dive deep into where users are getting stuck and ship what they need to succeed.You’ll also help drive acquisition of our technical, self-serve customers by creating and presenting engaging content online and in-person — especially at developer meetups and conferences across the US, with a focus on events in the San Francisco Bay Area.This role is perfect for someone who can create compelling technical content and is energized by connecting with developers face-to-face.RequirementsYou love attending, organizing, and speaking at developer events.You're able to tailor messaging for different audiences and build strong networks with developers, startup accelerators, and VCs alike.A strong full-stack engineering skillset with an eye for design — bonus points if you leverage new AI coding tools.The ability to come up with great ideas for tutorials, build working demos, and create high-quality blog posts and talks.A passion for writing engaging technical content.A product-minded approach to content: you understand metrics, speak to users, decide what to build/write based on needs, and double down on what works.#LI-Remote

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. As a Project Manager for Cognitive implementation, you will play a crucial role in overseeing the planning, execution, and delivery of projects related to the adoption and integration of Artificial Intelligence for IT Operations (Cognitive) within our organization. You will collaborate with cross-functional teams to ensure successful deployment and utilization of Cognitive solutions to enhance operational efficiency, optimize performance, and drive innovation. In this role, you will: Project Planning: Develop comprehensive project plans outlining scope, objectives, timelines, resources, and deliverables for Cognitive tool implementation projects. Stakeholder Management: Engage with stakeholders at various levels to gather requirements, communicate project progress, manage expectations, and address concerns effectively. Resource Allocation: Coordinate resources, both internal and external, to ensure alignment with project requirements and timelines. Risk Management: Identify potential risks and issues associated with Cognitive tool implementation projects, and develop mitigation strategies to minimize impact and ensure successful project delivery. Vendor Management: Collaborate with vendors and third-party service providers to evaluate, select, and implement Cognitive tools that best fit the organization's needs and requirements. Quality Assurance: Establish quality standards and protocols to ensure the successful deployment and functionality of Cognitive tools, conducting regular evaluations and reviews to maintain high standards of performance. Change Management: Facilitate organizational change by promoting awareness, providing training, and fostering adoption of Cognitive tools among end-users and stakeholders. Performance Monitoring: Monitor project progress, track key performance indicators (KPIs), and generate reports to evaluate project success and identify areas for improvement. Documentation: Maintain accurate project documentation, including project plans, meeting minutes, status reports, and other relevant artifacts. Continuous Improvement: Drive continuous improvement initiatives by capturing lessons learned from previous projects, implementing best practices, and incorporating feedback to enhance project management processes and methodologies. We would love to hear from you if: You have a Bachelor’s degree in computer science, Information Technology, Business Administration, or related field. Master’s degree or PMP and similar certification is a plus. You have proven experience of 10+years in project management, specifically in the implementation of Cognitive or IT operations management tools. You have strong understanding of Cognitive concepts, including machine learning, data analytics, and automation, with the ability to translate technical concepts into business solutions. You have excellent communication skills, with the ability to effectively interact with diverse stakeholders, including technical teams, business leaders, and vendors. You have demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment. You have experience with Agile and/or Waterfall project management methodologies, with the ability to adapt approaches based on project requirements and organizational dynamics. You have proficiency in project management tools and software, such as Microsoft Project, JIRA, or similar platforms. You have strong analytical and problem-solving skills, with the ability to anticipate challenges, identify opportunities, and develop innovative solutions. You have leadership qualities, including team-building, decision-making, and conflict resolution skills, with a focus on fostering collaboration and driving results. You have passion for technology and innovation, with a proactive attitude towards learning and staying updated on emerging trends in Cognitive and IT operations management. This role is available in Bengaluru and will be hired into Amelia Global Services, a subsidiary of SoundHound AI. Our recruiting team will provide a total compensation range based on location and years of experience. By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html. #LI-RM1 #LI-ONSITE

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Who We Are  PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include: Python/Django Django REST framework PostgreSQL VueJS What You’ll Do:  Solve interesting problems with code. Build new features for internal and external users, and refactor existing ones to make them better. Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface. Drive the architecture of our application platform, considering the team and our future product roadmap. Collaborate with product, design, front-end, machine learning, and infrastructure teams. Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. Mentor, learn, and share knowledge with others along the way. Contribute to the development of software as a medical device aiming at improving patient outcomes What You'll Need Experience. You've been around the block more than a couple times, typically via 2+ years of work in this field. Education. Generally, a bachelor's degree is really helpful in working with our team on this kind of work, however, equivalent years of experience can substitute. An insatiable intellectual curiosity and the ability to learn quickly in a complex space 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

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning. You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments. You'll drive research initiatives, mentor technical teams, and translate breakthrough AI research into practical applications across diverse domains.Key Responsibilities:Design and develop Vision-Language-Action (VLA) models that integrate visual perception, natural language understanding, and action predictionArchitect and implement reinforcement learning systems for sequential decision-making, including policy learning and skill acquisitionBuild and optimize computer vision pipelines for perception tasks, including object detection, segmentation, tracking, and scene understandingDevelop and fine-tune large language models for instruction following, reasoning, and task planning applicationsImplement RLHF (Reinforcement Learning from Human Feedback) systems to improve model alignment and safetyCreate multimodal training pipelines that leverage synthetic and real-world data for robust model performanceResearch and prototype novel AI architectures that combine vision, language, and action learningCollaborate with engineering teams to integrate AI models into applications and validate performance across domainsOptimize model inference performance for real-time applications across edge and cloud deploymentsLead technical initiatives, mentor junior AI engineers, and establish best practices for AI model developmentStay current with latest research in VLA models, multimodal AI, and robotics to drive innovation roadmapPresent findings at conferences and publish research to advance the fieldQualifications & Skills:7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network developmentStrong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)Strong expertise in both computer vision and natural language processing with hands-on model development experienceProficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale modelsExperience with transformer architectures, attention mechanisms, and large language model fine-tuningHands-on experience with computer vision tasks including object detection, semantic segmentation, and visual trackingStrong programming skills in Python with experience in distributed training and model optimizationUnderstanding of sequential decision-making and control systems fundamentalsExperience with MLOps practices including model versioning, monitoring, and deployment pipelinesProven ability to work independently on complex research problems and deliver practical solutionsStrong communication skills and experience collaborating with cross-functional engineering teamsPreferred Qualifications:PhD in Computer Science, Robotics, AI/ML, or related field with focus on multimodal learning or roboticsDirect experience developing or working with Vision-Language-Action (VLA) models or similar multimodal architecturesExperience with RLHF implementation and human feedback integration for model alignmentBackground in imitation learning, inverse reinforcement learning, or learning from demonstrationsExperience with real-world system deployment and sim-to-real transfer techniquesKnowledge of 3D computer vision, spatial reasoning, or multi-modal perception systemsExperience with distributed training frameworks (DeepSpeed, FairScale, Horovod) and large-scale model trainingFamiliarity with edge AI deployment and model optimization techniques (quantization, pruning, distillation)Experience with embodied AI research or projects involving agent-environment interactionPublished research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.)Open-source contributions to major AI/ML frameworks or robotics projectsStartup experience with ability to rapidly prototype and iterate on AI solutionsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBackground in safety-critical AI systems or AI alignment researchWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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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. What You’ll Do:  Work with backend and frontend (i.e. Vue.js) technologies Drive architecture and implementation decisions across the full technology stack Collaborate with ML, design, product, frontend, and infrastructure teams Uphold high-quality standards via testing, code reviews, and CI/CD Mentor mid-level engineers across backend and frontend domains Ensure compliance when contributing to software regulated as medical devices What You'll Need 5+ years of software engineering experience Strong foundational knowledge in data structures, algorithms, and system design Experience deploying full-stack features and API integration Bachelor’s in CS or equivalent experience Curiosity and adaptability within complex technical environments   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

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D Software Engineer specializing in Simulation, you will lead the development of cutting-edge photo-realistic training environments for robotics applications and synthetic data generation pipelines for computer vision model training. You'll architect and build advanced simulation systems using XR/AR/VR technologies, physics engines, and optimized rendering pipelines that bridge the gap between virtual training and real-world robotics deployment. This role combines deep technical expertise in game engines, computer graphics, and simulation with research-driven innovation to create breakthrough solutions in robotics simulation. Key Responsibilities:Design and architect photo-realistic simulation environments for robotics training scenarios using Unreal Engine, Unity 3D, or similar platformsDevelop advanced rendering pipelines optimized for synthetic data generation and real-time robotics simulationBuild robust physics simulation frameworks that accurately model real-world robotics use cases and sensor interactionsCreate scalable synthetic data generation systems for training computer vision models with domain randomization techniquesImplement cutting-edge rendering techniques including ray tracing, PBR materials, and advanced lighting systemsOptimize simulation performance across diverse hardware platforms and deployment environmentsResearch and prototype novel simulation methodologies for robotics training applicationsCollaborate with robotics and ML/CV teams to define simulation requirements and validate training effectivenessMentor junior engineers and contribute to technical standards and best practices across the R&D teamPresent research findings and technical solutions to leadership and external stakeholdersStay current with academic research in simulation, computer graphics, and robotics to drive innovation Qualifications & Skills:7+ years of professional software development experience with 4+ years specializing in simulation, game engines, or XR technologiesExpert-level proficiency in C++ and/or C# with demonstrated experience in performance optimization and debuggingExtensive hands-on experience with Unreal Engine and/or, Unity 3D including custom shader development and rendering pipeline optimizationStrong foundation in 3D mathematics, linear algebra, computer graphics fundamentals, and physics simulationProven track record developing and optimizing VR/AR/XR applications across multiple platformsExperience with robotics simulation frameworks (Webots, Gazebo, Isaac Sim, AirSim, or similar) or willingness to quickly learnUnderstanding of synthetic data generation techniques and computer vision model training requirementsStrong software engineering practices including version control, code reviews, and collaborative developmentExcellent problem-solving skills and ability to work independently on complex technical challengesStrong communication skills with ability to explain complex technical concepts to diverse audiencesPreferred Qualifications:Startup experience with ability to thrive in fast-paced, resource-constrained environmentsPrevious work in robotics, autonomous systems, manufacturing, or industrial automationExperience with advanced rendering techniques such as ray tracing, global illumination, and GPU programming (CUDA, compute shaders)Knowledge of cloud computing platforms and distributed simulation systemsExperience with procedural content generation and algorithmic asset creationBackground with AR/VR hardware platforms (HTC Vive, Oculus, HoloLens, etc.)Published research, patents, or open-source contributions in simulation, computer graphics, or roboticsExperience with digital twins or industrial simulation applicationsLeadership experience mentoring technical teams and driving cross-functional collaborationFamiliarity with robotics kinematics, dynamics, and sensor modeling principlesWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.