Find AI Work That Works for You

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the RoleAs a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Why Engineering at Dataiku?  Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. What to know about the Field Engineering team  As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms. How you’ll make an impact This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you. Some expected outcomes for this role: Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem) Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers Drive technical success by being a trusted advisor to our customers and our internal account teams  What you need to be successful: Professional experience with at least one cloud based services (AWS, GCP or Azure) Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc) Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks) Some experience with Python Grit when faced with technical issues Comfort and confidence in client-facing interactions Ability to work both pre and post sale What will make you stand out: Some knowledge in Data Science and/or machine learning Linux system administration experience Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning  Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus Experience with authentication and authorization systems like(A)AD, IAM, and LDAP What does the hiring process look like? #LI-Hybrid #LI-AN1 Initial call with a member of our Technical Recruiting team Video call with the Field Engineer Hiring Manager Technical Assessment to show your skills (Home Test) Debrief of your Tech Assessment with Field Engineer Team members Final Interview with the VP Field Engineering   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage impact with proven traction: Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup.Tackling a massive healthcare challenge: Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience.Technical founding team: Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes.Cutting-edge tech frontier: Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits.In-person collaboration advantage: We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture.ResponsibilitiesShape product strategy: Synthesize customer feedback, sales requirements, and engineering constraints into a clear product roadmap. You'll prioritize features based on ROI and customer impact, track implementation progress, and ensure launches actually solve customer problems.Own product operations: Document feature releases, coordinate customer rollouts, analyze usage data, and bridge the gap between what engineering builds and what customers need. You'll be the connective tissue between product, sales, and customer success.Run our operating cadence: Own weekly leadership meetings, track commitments and follow-ups, and make sure decisions actually turn into results.Scale our team: Manage the recruiting pipeline from job posting to first day, ensuring we hire the right people without dropping candidates along the way.Support fundraising efforts: Draft investor updates, maintain board materials, and help the CEO stay organized for investor conversations.Own operational infrastructure: Manage our core business systems, vendor relationships, and the administrative work that keeps the company running smoothly.Navigate healthcare requirements: Handle marketplace applications, compliance documentation, and the regulatory processes needed to sell into healthcare.Execute company initiatives: Whether it's conference planning, office logistics, or special projects from the CEO—you'll own it end-to-end.RequirementsProven operational excellence: 2-5 years at a top-tier consulting firm (McKinsey, Bain, BCG), investment bank, VC, or high-growth startup in an operational or product role.Exceptional clarity of thought: Ability to synthesize complex, ambiguous information from multiple sources and communicate it crisply to any audience—from engineers to investors.Meticulous attention to detail: Can juggle 10+ initiatives simultaneously without dropping a single ball, with the organizational skills to track and follow up on everything.Low ego, high output: Equally comfortable preparing board presentations or assembling office furniture—you care about getting things done, not who gets credit.Self-directed problem solver: Thrives in ambiguity, creates structure from chaos, and proactively identifies what needs to happen without constant oversight.Interesting Technical ChallengesBuilding a world-class talent engine: Design hiring processes that attract top talent while moving at startup speed, creating systems that scale from 10 to 100 employees.Scaling operational infrastructure: Architect lightweight processes and systems that maintain efficiency as we grow 10x, preventing the bureaucracy that slows down most companies.Product-market fit refinement: Synthesize signals from sales, customer success, and engineering to identify the features that will unlock our next phase of growth.Healthcare market navigation: Master the complex landscape of EHR integrations, compliance requirements, and enterprise sales cycles to accelerate our market penetration.Cross-functional orchestration: Build the connective tissue between teams that ensures nothing falls through the cracks as we scale rapidly.What we offerDirect mentorship: Work closely with our founding team and experienced engineering leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (30 min) [Virtual]: Discuss your background, what you're optimizing for, and how you think about operational challenges at early-stage companies.Case Study Exercise (1 hr) [Virtual]: Work through a real operational or product prioritization challenge we've faced, demonstrating your problem-solving approach.Take-home Assignment (2-3 hrs) [Async]: Complete a practical exercise—could be prioritizing a feature roadmap, analyzing our recruiting funnel, or designing a conference strategy.Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, dive deep into our business, present your take-home work, and collaborate on live problems with leadership.If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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About SienaSiena is building enterprise empathic AI Agents powered by reasoning-adept LLMs. Siena is the first AI Agent of its kind, designed to integrate with existing systems and interact with customers across multiple channels from a single, unified platform.If you're excited about the intersection of human-to-machine communication and want to be part of a team driving innovation and making a real impact in automating agentic workflows, join us on our mission to revolutionize customer experience through empathetic AI.Our AI-First PhilosophyAt Siena, AI isn't just a tool—it’s embedded in our DNA. We believe that leveraging AI-first workflows empowers individuals to work smarter, faster, and more creatively. Our team embraces AI-powered augmentation in everything we do, from research to execution, making us more efficient and innovative every day.About the RoleWe’re looking for an Vibe GTM Engineer who moves fast, prototypes scrappy, and ships tools that give our GTM teams 10x leverage. You’ll use LLMs, AI agents, automation platforms, and custom scripts to multiply what our sales, marketing, and content teams can do. Think scraping, sequencing, editing, creating campaigns, and stitching together tools into workflows that unlock scale.This is a high-leverage role for someone who moves like a hacker, thinks in distribution, and isn’t afraid to get their hands dirty with everything from APIs to video editing.What You’ll DoBuild and launch AI-powered workflows to accelerate personalization and targeting across sales and marketing (e.g. scraping emails, building AI sequences, campaign orchestration).Create and automate workflows for content, social, video, and case studies—using AI to generate, edit, and distribute at scale.Prototype and ship MVP experiments for GTM initiatives using Gumloop, n8n, Lovable, Vercel, or custom scripts.Automate repetitive workflows across sales, marketing, and ops—enrichment, reporting, deal tracking, campaign QA.Leverage APIs, webhooks, and LLMs to stitch together GTM infrastructure that scales smarter.Act as an internal multiplier: build custom GPTs, playbooks, and agents that make GTM teams more effective.Collaborate with GTM leadership to identify bottlenecks and quickly ship solutions.You’ll Thrive If YouThink like a growth hacker but can ship like an engineer.Love working with AI, APIs, and automation. Bonus if you’ve built scrappy agents, custom GPTs, or GTM workflows.Are fluent in Gumloop/n8n/N8N/Zapier, GPT-4/5, Retool, Notion, Airtable, Python, JavaScript, SQL, LangChain, Vercel/Lovable/Replit, Claude Code, Apollo.Bias toward shipping over spec’ing—you’d rather deliver a working prototype today than a deck next week.Have strong product sense and can build things that are not just functional but also usable.Creative eye and high taste: you know what great design looks like and are obsessed about details.Communicate clearly, take ownership, and don’t wait to be told what to do.Resourceful and scrappy, from recording your own ads to hacking together AI tools, your single focus is making it happen.Nice to HavesPrior experience in B2B SaaS, ecommerce, or GTM teams.Familiarity with GTM systems like HubSpot, Salesforce, Segment, Amplitude.Comfort working with structured and unstructured data—cleaning, transforming, and piping it into useful workflows.Experience with AI video/content tools (Runway, Synthesia, ElevenLabs, Descript, etc.).Why Join UsWe’re a startup, so no fancy offices or corporate fluff. But here’s what we do offer:Make a real impact. Your work directly shapes our product and company.A Voice that matters. In a small team, every perspective counts—yours included.Working at Siena. We are a fully remote, globally distributed team working at the bleeding edge of CX and generative AI.Competitive compensation. Great salary plus the opportunity for equity or stock grants.Flexible time off. Take at least 15 days—more if you need it.A Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.Tackling meaningful challenges. We’re redefining how work gets done through AI.Our valuesWe’re not about corporate jargon—here’s what truly matters to us:Curiosity and creativity: You always seek new knowledge, ask questions, and explore different perspectives to deepen your understanding.Customer empathy: You are driven by our customers’ success. You see needs they can’t articulate.Resilience: You bounce back from setbacks, adapt to change, and thrive in the face of challenges.Ownership and autonomy: When things break, you fix first, explain later.Relationships: You create bonds with your colleagues - building trust and sharing success.Craft and speed: You balance vision with pragmatism. Your standards pull everyone higher.Open and direct: You share and receive feedback. You are open about what’s working and what not.AI-First ToolingTo ensure you stay at the cutting edge of AI-driven work, we provide:Perplexity Pro accountChatGPT Pro accountClaude Pro accountQuarterly budget for experimenting with new AI toolsA culture that encourages AI experimentation and adoptionWe encourage our team to explore and integrate AI tools into their workflows, allowing them to maximize efficiency and innovation in their roles.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Your New Role and TeamSanctuary AI–a multi award-winning LinkedIn Top Startup company - is looking to hire a firmware engineering intern. The Embedded Systems team is composed of both electronics and firmware engineers. The team works closely together to create custom products to be consumed by other teams such as Controls and ML. Our Success CriteriaDevelop firmware for a variety of embedded systems as well as maintain and update existing firmware systems as neededCollaborate with the electrical and mechanical team to develop robust embedded systemsWork with electrical and firmware team to develop and complete device/system test plans   Develop unit tests in C/C++ for new or existing firmwareDevelop HIL tests and infrastructureDevelop drivers for sensors/componentsElectrical tests and debug with standard tools (oscilloscope, logic analyzer,  in-circuit debug, digital multimeter, etc) Your ExperienceQualifications Pursuing a Bachelor’s degree in electrical/computer engineering, computer science, mechatronics engineering, engineering physics, or a related technical field, or equivalent practical experienceFluency with C/C++ for embedded systems, and ability to deliver high-quality codeKnowledge of ARM or equivalent embedded microcontroller architecturesKnowledge of software version control such as git SkillsExperience interfacing with sensors through communication protocols such as I2C/SPI/CAN/EthercatExperience developing in an RTOS environment and writing low-level driversExperience developing in a linux based environmentFluency with using oscilloscopes, multimeters, logic analyzers and various other electrical engineering tools.Proven track record of delivering high quality design documentation, test reports, and other documentation TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsOptimistic listening and conflict resolution capabilitiesDemonstrated ability to influence others without authorityEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesObsession with bringing human-like intelligence to machines

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Your New Role and TeamSanctuary–a multi award-winning LinkedIn Top Startup company–is seeking a Mechanical Engineering Co-op student. Reporting to the Robotics lead, you’ll gain a comprehensive understanding of our cycle testing, mechatronics, and mechanical engineering activities. The best candidates for this role have excellent problem-solving skills and hands-on experience with building robotic or mechatronic systems. Ultimately, you’ll be a valued resource as you support the design/build process of our robotic systems, collaborate with other teams to test multiple components, and maintain and update prototype hardware features. Our Success CriteriaBring hands-on experience in understanding and designing our robotics hardware, printing experimental parts, devise and carry out testing, and present results/suggest improvementsGain cutting edge career experience as you design and build cycle testing hardware, work with engineers to create a test plan, write cycle testing software, analyze and organize test data, and work on streamlining and modularizing testing setupAchieve company-wide visibility as you partner with leaders and engineers to improve our robotics hardware, and participate in a variety of impactful robotics and hardware related projects projectsExpand your engineering skills as you work on mechanical and mechatronics design, drawings, BOMs, testing, manufacturing, assembly instructions, and more Your ExperienceQualifications:Pursuing a Bachelor’s degree in Mechanical/Mechatronics Engineering or graduated within the last two yearsExperience using OnShape or another CAD toolExperience with complex mechanical or mechatronic systems Skills:Excellent practical skills, including assembly, soldering, and use of hand/power toolsAbility to manage and utilize 3D printersKnowledge of electrical circuits and componentsFoundational skills in coding and data analysisExperience with mechanical component selectionExperience with engineering drawingsExcellent problem-solving and communication skillsExcellent organizational and process documentation skills Traits:Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesA passion for engineering and building thingsEnthusiasm for bringing human-like intelligence to machines

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco 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. What You’ll DoOperate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodesHandle cluster degradation, recovery, resizing, and incident response using fleet management toolsParticipate in a well-managed on-call rotation for critical incidentsAssist customers with Kubernetes questions, workload integration, storage, and authenticationWork closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issuesUse Python and Golang to create tooling and automate the validation of platform quality.Design, build, and maintain scalable control plane services, operators, and custom controllers for KubernetesDevelop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.About YouMust-Have6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Can work either independently with limited direction or as part of a teamCan work with customers during incidents either via tickets, live messaging, or as part of a larger call.Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary 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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As a Engineering Manager of Autonomy Applications, you'll lead a team of applications engineers, providing expert support for customers using our SDK. You’ll prioritize and resolve complex issues, mentor your team, and collaborate with internal teams to drive product improvements. With your technical expertise and leadership, you'll play a key role in enhancing customer engagement and supporting the growth of our robotics and autonomy solutions. What you'll do:Serve as the functional team lead for a team of customer facing applications engineersGuide, mentor, and develop a team of applications engineers to provide expert support and troubleshooting for customersManage, prioritize and delegate customer issuesSupport BD in pre-sales and post-sales activities as a technical resourceEnsure timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDKMaintain a deep understanding of the SDK’s features, updates, and use cases to guide the team and assist customersOversee and contribute to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge basesAct as an escalation point for complex customer issues and provide hands-on support when necessaryCoordinate closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new featuresAct as a liaison between customers and internal teams to advocate for customer needs and communicate product updatesDevelop and grow your teammates through mentorship and trainingSet performance goals, conduct regular evaluations, and foster a collaborative team environmentDevelop and refine support processes to improve team efficiency, customer satisfaction, and response times.Track and report on key metrics related to customer engagement, issue resolution, and team performance to stakeholders. Required qualifications:Bachelor’s degree in Aerospace Engineering, Computer Science, or a related field10+ years of experience of industry experience5+ years of experience in a customer facing engineering role5+ years of experience as an engineering managerStrong technical background in software engineeringStrong proficiency in writing modern C++ codeIntermediate proficiency in writing Python codeExcellent problem-solving and analytical skillsStrong communication and interpersonal skills Preferred qualifications:Experience developing software for mobile robot / autonomy applicationsExperience in the defense aviation or robotics industryExperience building and running a 5–7-person enterprise software applications/solutions engineering team

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.As a Conversation Designer, you’ll play a key role in delivering great conversations in Replicant’s AI Agents (conversational AI engines). Each of our AI Agents serves thousands of people every day. Working closely with our customers and engineering teams, you’ll drive conversation design, implementation, and quality to create an exceptional experience for every user. You’ll also contribute to the roadmap and development of new AI products in our AI Agent platform to ensure that we deliver great conversations at scale and continue to push the boundaries of conversational flexibility and accuracy.What You’ll DoOwn conversation design for Replicant’s AI Agents, ensuring every call interaction is seamless, intuitive, and engaging, achieving high-quality UX for all personas Work directly with Replicant customers to discover their callers’ and their own unmet needs, crafting solutions that will help transform their businessesUse Replicant's platform to build the AI Agent that satisfies the defined requirements, making edits where required throughout the implementation lifecyclePartner with Engineers and Engagement Managers to develop requirements, enable integration of systems, and ensure that every AI Agent exceeds customer expectations and delivers the highest possible resolution Develop intent taxonomies that blend customer requirements and caller needs, to increase our AI Agents’ Natural Language Understanding performance, in partnership with our Machine Learning teamsUse analytics & visualization tools to measure and improve conversational outcomes, owning the performance of the AI Agent through our Hypercare periodWork with your peers to improve Replicant’s conversation design best practices through data-driven experimentationEngage with Replicant’s Product teams to evaluate and integrate new features into AI Agents, including reusable assets and tasksWhat You'll BringBusiness process modelling: You have experience working with self-service automation technologies and API integrations (e.g., Zapier, UiPath) to comprehensively think through all permutations of variables and pathways required to automate a critical business process inside an enterprise settingArtisan communicator: You have excellent written and verbal communication skills in a client-facing role, and you’re interested in exploring the nuances and aesthetics of conversations and sweat every detail of a scriptPassion for user experience: You have a great design sense and deep customer empathy, and you enjoy spending the time to craft just the right experienceCustomer-centric: You put callers’ experiences first and can empathize with their experience & needsStartup mentality: You’re adaptable, comfortable with ambiguity, and aren’t afraid to roll up your sleeves to engage deeply with our customers and data to get things doneData obsessed: You love digging into the numbers and finding opportunities  that others would have missedSystematic thinking: You’re relentless about optimizing the product and processes to make things easier and better the next time aroundExperience with Tableau, Looker, PowerBI - bonus if you know SQL or R/Python2-3 years of experience designing AI-based experiencesBS/MS degree in Interaction Design / HCI, Linguistics, Information Systems or another related field#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role As the Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Help continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline. Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non-deterministic testing approaches that uncover hard-to-find bugs. Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices. Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization. Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing. Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 2+ years of experience in automation engineering. Hands-on experience working with Linux and Windows. Strong proficiency in developing tools for test automation. Deep understanding of observability and telemetry. Good understanding of complete software development life cycle. Proficiency in Python or other object-oriented programming languages. Preferred Skills You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems. Expertise with CI/CD pipelines is critical, with hands-on experience in platforms like Jenkins, GitHub Actions, or GitLab CI. You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality. You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behavior and performance. Experience with consumer electronics a plus Familiarity with ML Usage. Some familiarity with how to leverage machine learning models in a product environment is a plus. Strong Interpersonal and Leadership Skills. You possess excellent communication skills and a proven ability to manage cross-functional relationships, driving alignment and collaboration with system software, automation, and test teams. Salary Range: $100,000 - $140,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As a Security Engineer on the Detection & Response team, you'll be a core technical contributor building detection capabilities, driving incident response, and eliminating firefighting everywhere possible.Reporting to the Senior Manager of Detection & Response and working within our specialized Detection & Response team, you'll build and operate detection systems, lead incident investigations, develop threat intelligence capabilities, and contribute to red team activities. You'll coordinate closely with Security Technical Program Management to drive prioritized security remediations across the organization, ensuring that critical threats are addressed systematically rather than reactively.You will work on implementing enterprise-grade detection capabilities, automating incident response workflows, developing threat hunting programs, and building tooling that enables 24/7 security operations. You'll have unique access to LLMs hosted on our own infrastructure to implement and experiment with AI-powered detection and response capabilities that wouldn't be possible anywhere else.If you thrive on hunting threats, responding to incidents, and building detection systems that protect cutting-edge AI infrastructure at scale, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You’ll DoIncident Response & Operations:Response: Qualify reports and lead response activities from initial triage through remediation and retrospective.Automation: Develop tools and workflows that accelerate incident response and reduce mean time to resolution.Coordination: Drive prioritization and remediation of security findings across engineering teams in coordination with Security Technical Program Management.24/7 Operations: Participate in on-call rotation, ensuring rapid response to security events that threaten customer data or operations.Threat Detection & Analysis:Detection Engineering: Create and tune detection rules and alerts that identify threats across Lambda's infrastructure before they impact customers or revenue.Threat Intelligence: Research and operationalize threat intelligence specific to AI infrastructure and Lambda's unique threat landscape.Threat Hunts: Proactively search for indicators of compromise and suspicious activity that automated detection might miss.Explore AI-driven Security: Leverage Lambda's hosted LLMs to create AI-powered threat detection, automated triage, and intelligent alert correlation.Offensive Security: Support periodic tabletop exercises and red team activities to test and improve detection coverage and response capabilities.What We Think a Candidate Needs to Demonstrate to SucceedHave 3+ years of hands-on security engineering experience and 5+ years of total engineering experience, with demonstrated impact in detection and incident response.Thrive in high-speed, high-ambiguity startup environments where you build security capabilities while responding to immediate threats.Deep technical expertise with security tooling including SIEM/SOAR platforms, EDR solutions, vulnerability scanners, and cloud security monitoring.Excel at solving problems in Python, Go, or similar languages, building automations that scale security impact.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Excellence at translating security concerns into business risk, enabling stakeholders to make informed decisions.Nice to HaveYou've built or contributed to detection engineering programs or incident response capabilities.Experience with threat intelligence platforms, threat hunting methodologies, or purple team exercises.Deep experience with specific SIEM platforms (Splunk, Elastic, Chronicle) or SOAR solutions.Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.You've developed detection content shared with the security community (Sigma rules, YARA, etc.).Experience responding to incidents in both cloud (AWS, GCP, Azure) and bare metal environments.Security certifications like GCIH, GNFA, GCIA, or similar that demonstrate incident response expertise.Experience with forensics, malware analysis, or reverse engineering.Excitement about leveraging our direct access to state-of-the-art LLMs to enhance detection and response—imagine AI-powered threat hunting, automated incident triage, and intelligent alert correlation at a scale only possible when you host the AI infrastructure yourself.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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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryWe are seeking a Principal Product Manager – Networking to define and scale the networking backbone of Lambda’s AI Cloud. This role covers critical services such as Direct Connect, Virtual Private Cloud (VPC), and Load Balancing, while advancing high-performance networking for AI and HPC workloads using InfiniBand, RDMA, and low-latency Ethernet.As the networking PM, you will shape the services that connect customers securely and efficiently to Lambda, enable distributed training across thousands of GPUs, and ensure the reliability and performance needed for enterprise adoption. This is a principal-level role with broad technical and strategic impact across Lambda’s cloud platform.What You’ll DoDesign Lambda’s Networking Backbone: Own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers.Advance High-Performance AI Networking: Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.Deliver Enterprise-Grade Connectivity: Build private, reliable, and secure networking for enterprise and hybrid environments — from subnets and routing to NAT, peering, and global traffic management.Ensure Security, Reliability & Compliance: Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.Partner Across Lambda & the Market: Collaborate with engineering, infrastructure, and solutions teams to launch customer-ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda’s differentiated roadmap.You:10-12+ years of product management experience, with significant focus on networking or cloud infrastructure.Proven experience owning networking services (Direct Connect, VPC, Load Balancers) in a cloud, hyperscaler, or large-scale infrastructure environment.Deep understanding of HPC/AI networking, including InfiniBand, RDMA/RoCE, and high-performance Ethernet.Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value.Track record of launching and scaling customer-facing networking products with measurable adoption and reliability outcomes.Nice to HaveHands-on experience with Kubernetes networking at scale.Familiarity with SmartNICs, DPUs, or advanced offload technologies.Background in AI or HPC workload optimization and distributed systems.Exposure to storage networking (e.g., NVMe-oF over RDMA).Salary RangeThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here.  The Opportunity We’re seeking an experienced and passionate software engineer to collaborate with founders closely to drive our most high potential innovation - Interactive Avatar - the visual interface of realtime AI solutions powered by the most cutting-edge AI from HeyGen that is revolutionizing various use cases including online education, learning and development, customer support, sales and so on.  As one of the founding engineers, you will start from going to customers and partners with founders and solving technical challenges with product engineering, infra and research teams, to planning and delivering a world class product experience and set the standard for the next generation of softwares. Key Responsibilities Help shape the architecture and infrastructure to support scalability, low latency, and high availability as the product grows. Take full ownership of core backend systems and vendor integrations, driving performance and reliability improvements. Collaborate with GTM, infra, and research teams to build real-time, interactive AI experiences that push the boundaries of what’s possible. Rapidly gain proficiency in the full tech stack, from backend systems to real-time streaming and frontend surfaces. Translate customer needs into technical solutions that move the business forward. Triage and resolve complex technical issues across the stack, ensuring stability and a seamless user experience. Proactively identify opportunities to improve our technology and development processes, contributing ideas and solutions. Grow cultural and technical influence by demonstrating strong execution, technical excellence, and alignment with the company culture. Qualifications 5+ years of hands-on backend engineering experience, with a proven track record of delivering production systems at scale. Deep expertise in backend development using languages such as Node.js, Python, or Go, and strong experience building on cloud platforms (AWS, Azure, or similar). Solid understanding of real-time systems, including WebRTC, streaming architectures, and low-latency APIs. Experience deploying AI-powered models into production environments, especially in areas such as speech, vision, or conversational AI. Exceptional collaboration and communication skills, comfortable working across diverse teams including frontend, infrastructure, research, sales, and customer success. A self-starter with a growth mindset—motivated to take ownership, solve hard problems, and grow into a leadership role over time. Bonus Proven experience building and scaling real-time interactive systems such as voice/video chat, live customer support platforms, or virtual agents. Prior experience with avatars, virtual assistants, or generative media technologies. Familiarity with large language models (LLMs) like OpenAI, Claude, or Gemini, and prompt orchestration pipelines. Startup founder or early-stage builder mindset—hungry to win, scrappy, and deeply motivated by urgency and impact. Why Join Us? Be part of one of the fastest-growing companies at the intersection of AI and media. Work with a team of world-class researchers, engineers, and creatives. Work with founders directly for massive impact Competitive compensation, equity, and benefits. Base Salary Range $200,000 – 235,000 annually Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryWe are looking for a Commerce & Operations Product Manager to ensure the commercial success of Lambda’s product portfolio. This PM will design pricing and packaging models, own the billing lifecycle, and drive commercial strategy in close partnership with finance, sales, and product leadership. You will also lead the operational side of go-to-market planning, ensuring that all commercial systems are ready to support new product launches and major updates.This is a highly cross-functional role where you’ll act as the bridge between product, engineering, finance, operations, and sales — making sure our offerings are not just technically excellent but also commercially sound and scalable.What You’ll DoPricing & Packaging: Define and manage pricing models, tiers, feature sets, per-unit costs, and enterprise agreements. Partner with product and outbound PMs to build packages that balance customer needs with business goals.Billing Operations: Own the full billing lifecycle. Oversee billing systems, ensure accuracy, resolve disputes, and build infrastructure to support multiple payment methods and customer types (enterprise and self-service).Commercial Strategy: Collaborate with finance, sales, and leadership to set revenue targets and develop strategies to achieve them. Analyze market trends, competitor benchmarks, and customer willingness to pay.Go-to-Market Planning: Partner with outbound PM, marketing, and sales to create GTM plans for new launches and major updates. Ensure billing, contracts, and commercial systems are ready to scale.Cross-Functional Leadership: Serve as the connective tissue between teams, ensuring smooth execution of initiatives that span product, finance, engineering, and operations.Capacity Planning: Own the capacity logic and system that governs GPU allocation based on the analysis of customer segment, product strategy, and financial tradeoffs.You:10+ years of product management, product operations, or program management experience in SaaS, cloud infrastructure, or fintech.Proven experience with pricing models, billing systems, or commercial strategy in a B2B setting.Strong analytical skills with the ability to turn data into actionable commercial insights.Excellent stakeholder management and cross-functional collaboration experience.Clear, structured communication skills and the ability to drive alignment across diverse teams.Comfort switching between high-level strategic thinking and detail-oriented execution.Nice to HaveExperience working within a cloud hyperscaler, GPU cloud, or AI infrastructure platform.Familiarity with ERP/CPQ systems, Stripe, Zuora, or other large-scale billing infrastructure.Background in go-to-market planning for complex B2B infrastructure products.Salary RangeThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Senior/Staff AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 5+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 2+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. NOTE: This position is available via CLT contract only, Thank you!

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About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:We are seeking an experienced Technology focused Business Leader to join our Hyperscalers and Technology (HAT) organization. As a HAT Accounts Lead, you will play a critical role in developing and executing business strategies for our Generative AI (GenAI) products and services. You will work closely with cross-functional teams, including Product Management, Engineering, Sales, and Marketing to drive customer adoption, revenue growth, and market share expansion. Responsibilities: Pre-Sales Leadership Collaborate with sales teams to identify and qualify opportunities, providing technical expertise throughout the sales cycle. Partner with customers to understand their needs and craft tailored sales enablement materials and solutions leveraging Articul8’s suite of GenAI products. Conduct engaging product demonstrations, technical deep dives, and proof-of-concept (PoC) projects to showcase Articul8’s platform capabilities. Create compelling technical proposals, architecture diagrams, and value propositions that address client pain points. Revenue Generation and Deal ClosingTake ownership of the end-to-end sales process, from lead qualification to deal closure. Meet or exceed commercial targets by identifying new opportunities and converting leads into customers. Proactively manage a pipeline of opportunities, leveraging CRM tools to track progress and forecast revenue. Negotiate contracts, pricing, and terms, ensuring alignment with both customer goals and Articul8’s objectives. Coordinate with internal teams (product, engineering, operations, customer success) to ensure closing of deals. Account LeadershipServe as the primary point of contact and trusted advisor for assigned accounts, building long-term relationships with key stakeholders. Manage account activation, ensuring smooth onboarding, training, and initial implementation of Articul8 solutions. Technical Partnerships with Hyperscalers and Technology PartnersIdentify and develop technical partnerships with hyperscalers (Eg: Azure, GCP, or AWS) and technology partners to advance Articul8’s product differentiation Establish technical partnerships with industry associations to drive Articul8’s product relevance for targeted industries through development of domain specific AI models Act as a technical liaison, ensuring seamless collaboration between Articul8 and its ecosystem partners. Provide training and support to ensure partner evangelists are equipped to effectively position our GenAI products and services for adoption. Device one-to-many scale mechanisms to accelerate customer out-reach through partners Executive InfluencePitch, present and influence Enterprise C-level executives to accelerate their GenAI adoption with Articul8’s Products.Product FeedbackBe the voice of Customers and Partners by gathering feedback during pilot and at-scale deployments and feeding that back into the Product and Engineering teams. LegalDrive legal requirements completion as part of engaging with Customers and Partners. This includes but not limited NDAs, MoUs, SoWs etc. Comprehend the rapidly evolving GenAI Ethical, Security Policies and Regulatory landscape (Eg: GDPR) as part of building and scaling GenAI Products and services globally. Required Qualifications: Bachelor's degree in computer science, Engineering, Business Administration, or a related field. 10+ years of experience in customer facing technology leadership roles, in AI/Hi-tech industry. Experience with cloud computing platforms, including Azure, GCP, AWS, etc. Experience with technical sales enablement and Partner management Excellent communication, presentation, and interpersonal skills. Ability to work effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Preferred Qualifications: Master’s degree in computer science, Engineering, Business Administration, or a related field. GenAI knowledge of industry-specific trends and challenges. Experience with OEMs and Distributors Pricing expertise, especially SaaS and Enterprise software products Experience working on Enterprise Appliance products (such as Nvidia DGX Platform, etc) Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.