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At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape. About the Role:As a Kubernetes Platform Engineer focused on support and operations, you’ll play a critical role in maintaining the stability and reliability of our bare-metal Kubernetes infrastructure. You will work closely with senior engineers, taking point on troubleshooting, incident response, and day-to-day cluster operations across multi-tenant workloads.This is a great opportunity for engineers ready to deepen their Kubernetes expertise while supporting cutting-edge AI environments in real-time.Responsibilities:Own and troubleshoot operational issues within Kubernetes environmentsMaintain and monitor core services (e.g., Cilium, HAProxy, Prometheus, etc.)Ensure uptime, performance, and reliability of multi-tenant clustersAssist with Ingress/Egress connectivity and network debuggingSupport internal and customer teams in secure, isolated VPC environmentsCollaborate with senior engineers on automation and cluster lifecycle improvementsRequired Skills & Experience:2–4 years experience in DevOps, SRE, or Linux infrastructure roles1+ years of hands-on experience with Kubernetes in productionFamiliarity with networking, CNI plugins, and core Linux troubleshootingStrong infrastructure-as-code mindset using tools like Helm, Terraform, or AnsibleSolid experience with monitoring and logging tools (e.g., Prometheus, Grafana, Loki)Understanding of secure infrastructure design principles and least-privilege accessComfortable working in a team-oriented, fast-paced operational environmentNice to Have:Experience with RKE2, Rancher, or similar platformsExperience troubleshooting or supporting AI or GPU-based workloadsFamiliarity with HAProxy, Cilium, or other Kubernetes ingress/networking toolsWhat We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape.Responsibilities:Design and deploy bare-metal Kubernetes clusters at scale using RKE2Collaborate with senior engineers on architectural improvements, infrastructure planning, and automationLead the design and implementation of Ingress and Egress traffic solutions, leveraging HAProxy, Cilium, and other componentsContribute to multi-tenant environment designs including VPC-level isolation, network policy enforcement, and secure shared servicesDrive continuous improvement around observability using Prometheus and related toolingServe as a subject matter expert in core Linux, networking, and Kubernetes internalsCollaborate cross-functionally with AI platform teams and internal/external customersRequired Skills & Experience:5+ years of experience in infrastructure or DevOps engineering roles3+ years hands-on experience managing Kubernetes in bare-metal environmentsProven expertise in designing multi-tenant Kubernetes clusters with strong network isolationDeep understanding of Linux systems internals, networking (IPTables, CNI plugins, BGP), and DNSExperience with ingress controllers, load balancing, and service mesh (e.g., HAProxy, Cilium, Envoy)Strong infrastructure-as-code mindset using tools like Helm, Terraform, or AnsibleExperience monitoring Kubernetes workloads with Prometheus and related observability toolsNice to Have:Familiarity with RKE2, Rancher, or other downstream Kubernetes distributionsExposure to AI/ML infrastructure workloads or GPU resource schedulingExperience in infrastructure compliance or secure multi-tenancy (e.g., PCI, SOC2)What We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:Notable’s AI Platform Architects are responsible for flow architecture and design, eliciting customer requirements, designing and configuring flows in Flow Builder, testing and validating configurations, and training customers on using the platform. At Notable, we are setting the bar for this emerging industry role. Our architects are problem solvers that possess a strong analytical mindset and a passion for partnering with healthcare leaders to drive business transformation. They demonstrate a deep understanding of the Flow Builder platform as well as using AI frameworks to balance efficiency, scalability and maximize value. This role translates technical concepts to non-technical audiences, and has high proficiency in leveraging LLMs to create workflow efficiencies.Key ResponsibilitiesDesign and Implement Intelligent Workflows: Leverage Notable’s proprietary "Flow Builder" no-code interface and a library of pre-built "AI Agents" to design, build, and deploy intelligent workflows that automate complex healthcare challenges for customers.Contribute to Customer Success: Support senior team members in managing customer implementations from discovery through delivery, providing technical support and troubleshooting to ensure solutions are aligned with customer outcomes.Collaborate Across Internal Teams: Partner with peers, senior architects, and cross-functional teams to contribute to delivery initiatives and help channel customer feedback into product and engineering teams to influence future platform improvements.Drive Operational Excellence: Actively engage in a culture of continuous learning and improvement, applying best practices in documentation and project delivery to ensure the quality and timeliness of implementations.Deliver Tangible Business Value: Support the team in building solutions that improve efficiency, accuracy, and outcomes for Notable's customers, directly contributing to measurable results like reduced administrative costs and enhanced staff productivity.Learn and Utilize Project Management and Collaboration Tools: Effectively utilize Asana, Confluence, and GitHub, to streamline task management, document progress, and ensure the timely delivery of customer solutions.Required Skills and QualificationsA Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field is required, or a minimum of 1-2 years of relevant experience in healthtech, enterprise software, solution architecture, or systems integration.Strong foundational technical skills, including a data-driven mindset and a proven ability to solve complex problems and learn new frameworks and technologies.Excellent written and verbal communication skills, with the ability to effectively collaborate with technical teams and explain complex concepts to non-technical stakeholders.A growth mindset, demonstrated by a commitment to learning and a proactive approach to seeking mentorship and feedback.A high degree of organization and attention to detail, ensuring the quality and timely delivery of work.Bonus Points:Experience with workflow automation tools, scripting languages, or low/no-code platforms.Familiarity with Generative AI tools and techniques, including Large Language Models (LLMs) and prompt engineering.Knowledge of health system technologies such as Electronic Health Records (EHRs), CRMs, or care coordination tools is highly desirable.Experience in a SaaS or enterprise software environment, with a clear understanding of the full software development and delivery lifecycle.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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About Us: At Bolo AI, our mission is to use AI to make daily work faster, safer, and better for the heavy industry worker. We are building the next-generation agentic platform for heavy industries, starting with the Energy sector - enabling intelligent systems that reason, retrieve, and act across complex workflows spanning the field, office, and control center. Role Overview: We are seeking a Senior Product Manager to drive the vision, strategy, and execution of key AI-powered products at Bolo AI. You will work closely with engineers, designers, researchers, and business stakeholders to define product roadmaps, prioritize features, and deliver high-quality experiences that delight users and create measurable business impact. Note: This role is based in the Bay Area, with at least 3 days per week in our Palo Alto office and travel for customer meetings, events, and strategic initiatives. What You’ll Own: Define and own the product vision, strategy, and roadmap for AI-driven solutions. Collaborate with cross-functional teams (engineering, design, leadership) to ship impactful features on time. Lead key customer engagements, understand customer data sets, workflows and pain points to ensure product features and capabilities align with business need Translate customer and market insights into product requirements and user stories. Establish clear metrics for success and drive data-informed decision making. Partner with leadership to align product initiatives with company strategy. Champion the voice of the customer, ensuring our products are intuitive, accessible, and high value. Monitor AI/ML trends, competitive landscape, and emerging opportunities to inform product direction. As an early-stage startup, no two days are the same. As a Bolo AI Product Manager, you can expect to: Meet with our customers at our various offices to understand the critical questions they need to answer and locate their biggest pain points. Deeply understand relevant datasets and workflows, and work with engineers to integrate the data into a stable and extensible pipeline. Create and lead training sessions to ensure that the solution is meeting the needs of a range of users and is being used widely enough to have concrete impact on our partners' operations. Present the results of our work and proposals for future work to audiences ranging from Engineers to C-suite executives. Scope potential engagements across new users and determine business-need and prioritization. Who We’re Looking For: 6 - 8 years of product management experience, ideally in SaaS, AI/ML, or developer tools. Proven track record of shipping successful products from ideation to launch. Strong technical acumen, with the ability to engage in discussions with engineers and data scientists. Experience defining and analyzing product metrics and using them to inform strategy. Excellent communication, storytelling, and stakeholder management skills. Customer-first mindset with a passion for delivering exceptional user experiences. Start-up experience and being part of an early-stage team. Bonus: Experience in applied AI/ML, LLMs, energy or heavy industry sectors, or related technologies. What We Offer: Bolo AI is a technology startup headquartered in Palo Alto, backed by True Ventures, Benchstrength, Accomplice, J Ventures, and Beat Ventures.  We offer competitive compensation, generous PTO, flexible working hours, an office in Palo Alto for in-person collaboration, and the following: Competitive Compensation: A strong base salary Ownership & Impact: Equity options so you can share in our success as we grow and shape the future together. Hybrid Work Environment: Enjoy a flexible hybrid schedule—collaborate in person and work from home. Growth & Opportunity: Join us at a pivotal stage where your contributions will have a direct impact on our journey. As we grow, so will your opportunities. Culture of Respect & Collaboration: We live by humility, respect, and low ego. You’ll be part of a team that values your ideas and celebrates wins together.

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About Us: At Bolo AI, our mission is to use AI to make daily work faster, safer, and better for the heavy industry worker. We are building the next-generation agentic platform for heavy industries, starting with the Energy sector - enabling intelligent systems that reason, retrieve, and act across complex workflows spanning the field, office, and control center. Role Overview: Bolo AI is hiring a GTM Strategy & Operations Lead to help build our go-to-market engine from the ground up. As one of the early members of the Bolo AI team, you’ll wear multiple hats -shaping strategy, standing up processes, and rolling up your sleeves to execute wherever needed. From defining target segments and driving marketing campaigns to building pipeline reporting and partnering with the CEO on customer conversations, you’ll be hands-on in every aspect of taking Bolo AI to market. This role is perfect for someone who thrives in ambiguity, loves building zero-to-one systems, and has the grit to balance scrappy execution with long-term strategic thinking. You’ll work closely with leadership and across teams to turn bold ideas into repeatable GTM playbooks that will scale as Bolo AI grows. Note: This role is based in the Bay Area, with at least 3 days per week in our Palo Alto office and travel for customer meetings, events, and strategic initiatives. What You’ll Own: Enterprise GTM & Customer Engagement Partner with the CEO on enterprise deals - build tailored pitches and ROI cases. Join customer meetings to capture insights and uncover expansion opportunities. Ensure internal teams deliver on customer commitments without needing CEO intervention. Build and optimize GTM processes (e.g., pipeline management, territory planning, lead routing, account strategy). Marketing & Market Presence Manage conference presence – run event execution, drive leads, and ensure rapid follow-up. Run targeted account-based marketing campaigns for top enterprise prospects. Develop high-quality thought leadership and industry-facing content. Track competitor and market activity to surface positioning opportunities. Strategic Projects & CEO Leverage Drive initiatives such as account expansions, new market entry, or strategic partnerships. Prepare briefings, deal strategies, and follow-up plans for CEO-led meetings. Quickly step in to lead new, high-impact GTM initiatives and take them to completion. As an early-stage startup, no two days are the same. As a Bolo AI GTM Strategy & Operations Lead, you can expect to: Travel with the CEO to key customer engagements and industry conferences. Jump between strategy and execution - one moment building out marketing campaigns, the next talking to customers or writing sales proposals. Collaborate closely with engineering, design, and GTM teams to bring ideas to life. Build out pitch decks in partnership with the CEO, defining pricing, partnership models and customer benefits. Take ownership end-to-end, knowing that your work directly shapes the trajectory of Bolo AI. Who We’re Looking For: Must-Have Bachelor’s degree. 5 - 7+ years professional experience, including startup experience, thriving in ambiguity and rapid change. B2B GTM background (product marketing, consulting, founder/ operator). Proven track record of delivering results independently in high-stakes, cross-functional initiatives. Exceptional writing and storytelling skills; exec-level decks and ROI cases. Based in the Bay Area or willing to work hybrid from Palo Alto, with travel as needed. Nice-to-Have 2+ years post-MBA professional experience. Sector exposure: AI, SaaS, or industrial/energy. Enterprise experience in ABM, complex B2B cycles, or strategic partnerships. What We Offer: Bolo AI is a technology startup headquartered in Palo Alto, backed by True Ventures, Benchstrength, Accomplice, J Ventures, and Beat Ventures.  We offer competitive compensation, generous PTO, flexible working hours, an office in Palo Alto for in-person collaboration, and the following: Competitive Compensation: A strong base salary Ownership & Impact: Equity options so you can share in our success as we grow and shape the future together. Hybrid Work Environment: Enjoy a flexible hybrid schedule—collaborate in person and work from home. Growth & Opportunity: Join us at a pivotal stage where your contributions will have a direct impact on our journey. As we grow, so will your opportunities. Culture of Respect & Collaboration: We live by humility, respect, and low ego. You’ll be part of a team that values your ideas and celebrates wins together.

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About Us: At Bolo AI, our mission is to use AI to make daily work faster, safer, and better for the heavy industry worker. We are building the next-generation agentic platform for heavy industries, starting with the Energy sector—enabling intelligent systems that reason, retrieve, and act across complex workflows spanning the field, office, and control center. Role Overview: We’re looking for a Staff Full Stack Engineer to join our fast-moving team in Palo Alto and help build the next generation of Agentic AI applications—reimagining daily work for the heavy industry workforce that powers nearly 20% of global GDP. In this high-ownership role, you’ll work closely with our Head of Engineering and company leadership to design and ship full-stack systems that combine LLM-powered agents, real-time data, and multimodal interfaces. This is a rare opportunity to define foundational architecture, shape engineering culture, and accelerate your career by delivering applied AI that supports the workers driving the real-world economy. Note: This role is expected to be based in the Bay Area, with at least 3 days per week in our Palo Alto office. What You’ll Do: Design and develop full-stack features that integrate real-time data, LLM reasoning, and rich user interfaces. Collaborate directly with engineering leadership and product stakeholders to turn customer needs into scalable software. Build APIs, backend services, and frontend interfaces that support agentic workflows and multimodal search (voice, image, document). Ensure applications are production-ready for deployment in customer VPCs (AWS & Azure), with an emphasis on security, observability, and resilience. Write robust, clean, and testable code across the stack using Python (FastAPI), React (TypeScript), and cloud-native technologies. Contribute to DevSecOps pipelines, container orchestration (Kubernetes), and CI/CD automation to drive release velocity. Play a key role in shaping the engineering culture and mentoring teammates as the team grows. What We’re Looking For 7+ years of software engineering experience, with a strong foundation in full-stack development. Proven track record building cloud-native applications for enterprise use cases. Deep experience with Python (FastAPI or equivalent), React/Next.js, TypeScript, and API design. Hands-on experience deploying and operating applications on AWS and/or Azure, including to customer-managed VPCs. Strong understanding of distributed systems, service orchestration, and backend scalability. Startup experience and shipping product, ideally 0 to 1. Ability to move fast, make trade-offs, and deliver features with high product impact and technical excellence. Bonus: Familiarity with GenAI/LLM tooling (e.g., OpenAI, LangGraph), retrieval systems, or multimodal data. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field What We Offer: Bolo AI is a technology startup headquartered in Palo Alto, backed by True Ventures, Benchstrength, Accomplice, J Ventures, and Beat Ventures.  We offer competitive compensation, generous PTO, flexible working hours, an office in Palo Alto for in-person collaboration, and the following: Competitive Compensation: A strong base salary Ownership & Impact: Equity options so you can share in our success as we grow and shape the future together. Hybrid Work Environment: Enjoy a flexible hybrid schedule—collaborate in person and work from home. Growth & Opportunity: Join us at a pivotal stage where your contributions will have a direct impact on our journey. As we grow, so will your opportunities. Culture of Respect & Collaboration: We live by humility, respect, and low ego. You’ll be part of a team that values your ideas and celebrates wins together.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure’s Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics.  Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively.  May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements:  5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data.  Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Electromagnetic Warfare (EW) Manufacturing Production team is responsible for a wide range of activities that are crucial to the manufacturing process including operating equipment, assembling products, performing quality control checks, and maintaining a safe and efficient work environment.  ABOUT THE JOB You will report to the Head of Operations for the Anduril Mission Systems Division but work directly with the Electromagnetic Warfare (EW) Business Line General Manager, EW leadership team, and teams across Anduril corporate (finance, etc.) to run business operations for the EW business line. Your work will vary from quick-turn operational fire-fighting, building and redesigning processes, to leading high-impact strategic projects. This role allows you to not only see the magic behind running the EW business line and engage with each part of the business line (program management, engineering, production, and corporate), but to also work with and support the EW GM to drive toward business success. WHAT YOU'LL DO Drive day-to-day business operations for the Electromagnetic Warfare Business Line. This would include financial tracking, staffing/hiring, corporate governance, etc and working with cross functional partners across these domains. Specific examples include: Manage the EW Business Line P&L in partnership with a FP&A partner to track financial health of budget against goals, drive actions to maintain operating expenses with budget, assess financial data and create strategies to drive toward margin targets, etc. Drive content preparation for Monthly Business Reviews and Quarterly Business Reviews for presentation to Anduril Executives Engage with EW product and program managers to track and report out status and risks Drive annual planning for EW Business Line as part of the corporate planning cycle Manage staffing and hiring - Support tactical staffing assignments in service of critical business line needs, track headcount, and work with recruiting to prioritize open roles and determine hiring strategies needed for rapid scaling Work with corporate technology to build the underlying data and system infrastructure for organizational operations - Confluence spaces, Jira systems, data drives, etc. Manage EW Business Line communications internal to the team and external across the company, such as All Hands, etc. Manage planning and strategy for facilities, secured spaces, and capital investment Own and execute on special projects for the Mission Systems Division and EW General Manager - Examples could include supporting acquisition integrations, working with the EW Head of Production on strategies to reduce production variance costs, brainstorming on org development, completing strategic assessments and studies for the EW General Manager, etc. REQUIRED QUALIFICATIONS Undergraduate degree in an engineering major 8+ years of working experience with minimum 2+ years in a technical engineering role and 2+ years in a consulting, operations, finance, product/program management, or general business analyst role (You have a business foundation and understand how a P&L works) A strong communicator across a wide dynamic range - ability to translate and articulate thoughts clearly and simply across a wide range of roles (working level engineers, finance partners, recruiters, cross functional leadership, and executives) Experience interfacing with leadership and executives - you understand how to cultivate trust and facilitate meetings for and engage with executives Strong emotional intelligence and ability to solve operational problems not only from a data-driven lens, but also in a people-centric way by building strong cross functional relationships across the company and within the hardware engineering organization Combined ability to execute on a tactical level as well as put together a strategy to solve complex, ambiguous, cross-functional problems. You are comfortable rolling up your sleeves and diving deep into executing operational tasks that require high attention to detail and high organization skills, but you can also zoom out at a 30,000 foot level to create a strategy that solves high level problems for the business line, division, and company. High ownership with the horsepower to juggle multiple (3-5+) large projects and priorities in parallel, at a rapid pace, and report out on progress regularly without dropping any balls Discerning and an incredibly fast learner Highly Organized Eligible to obtain and maintain an active U.S. Top Secret security clearance PREFERRED QUALIFICATIONS Experience working with RF products, radar products, and/or C2 software Experience working in a role that requires influencing stakeholders US Salary Range$190,000—$285,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 3 to 5 years of professional experience  Fluency in English Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

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Scale is the leading data and evaluation partner for frontier AI companies, playing an integral role in advancing the science of evaluating and characterizing large language models (LLMs). Our research focuses on tackling the hardest problems in scalable oversight and the evaluation of advanced AI capabilities. We collaborate broadly across industry and academia and regularly publish our findings.  Our Research team is shaping the next generation of evaluation science for frontier AI models and works at the leading edge of model assessment and oversight. Some of our current research includes: Developing AI-assisted evaluation pipelines, where models help critique, grade, and explain outputs (e.g. RLAIF, model-judging-model). Advancing scalable oversight methods, such as rubric-guided evaluations, recursive oversight, and weak-to-strong generalization.  Designing benchmarks for frontier capabilities (e.g. reasoning, coding, multi-modal, and agentic tasks), inspired by efforts like MMMU, GPQA, SWE-Bench. Building evaluation frameworks for agentic systems, measuring multi-step workflows and real-world task success. You will: Lead a team of research scientists and engineers on foundational work in evaluation and oversight. Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi-modal, and agentic behaviors. Design and advance scalable oversight methods, leveraging model-assisted evaluation, rubric-guided judgments, and recursive oversight. Collaborate with leading research labs across industry and academia. Publish research at top-tier venues and contribute to open-source benchmarking initiatives. Remain deeply engaged with the research community, both understanding trends and setting them. Ideally you'd have: Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight. Significant experience leading ML research in academia or industry. Strong written and verbal communication skills for cross-functional collaboration. Experience building and mentoring teams of research scientists and engineers. Publications at major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals.   Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We do not ask LeetCode-style questions.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$260,000—$350,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users. This role is designed for candidates graduating between December 2025–July 2026. We are an in-person company based in San Francisco and New York.In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customersYour background looks something like thisPursuing or completing a B.S. (or higher) in Computer Science or a related technical fieldProficiency with Python, Typescript, and asynchronous programmingTrack record of building and shipping high-quality products and features through coursework, internships, or personal projectsExcitement to thrive in a fast-paced environment, continuously learn, and sharpen your skillsEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners, and snacks in the office to keep you at your bestCompensation$180K + Offers Equity

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are hiring a senior leader to scale Harvey’s law school program. This role will be responsible for operationalizing and managing strategic law school relationships, and ensuring Harvey’s law school partners are successful.What You'll DoDefine the strategic vision for Harvey’s law school program, including critical success metrics and KPIs, branding and marketing strategies, and more.Define the entry and support strategy for serving academic institutions globally. Tailor the strategy for different markets and geographies.Own the day-to-day relationship with law school partners, acting as the single point of contact across school enablement and success.Drive and manage training, support operations, and academic programming to ensure schools are successful and deploy Harvey to further their academic missions.Coordinate across Harvey teams including Sales, Solution Engineering, Enablement, Operations, Customer Success, and Marketing to ensure partner needs are met and internal alignment is maintained.What You HaveJD or equivalent experience in a legal education setting.7+ years of professional experience in partnerships, consulting, operations, or sales.Proven ability to develop strong executive relationships within complex organizations.Strong program management skills with the ability to track multiple workstreams and hold cross-functional stakeholders accountable.Ability to thrive in a fast-paced, high-growth, and collaborative environment.Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy.Compensation Range$230,000 - $310,000 USD OTEPlease find our CA applicant privacy notice here.#LI-AB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Role:As our founding Customer Success Manager, you will partner with customers to ensure they're receiving the support and tools needed to achieve their goals and derive business value. If you are a relationship-first Customer Success Manager looking for an extremely fast-paced environment, this is the right role for you.This role requires both relationship management and tactical execution, perfect for someone who thrives in a fast-paced, dynamic environment. This is a fully in office role based out of our San Francisco office.Responsibilities:Be a founding member of the Customer Success team - you’ll build the foundation of Customer Success at Decagon Build meaningful and long-lasting partnerships with our customers, and act as your customers' strategic advisorCo-pilot with your customers throughout their deployment journey, from early stages of project scoping all the way to full adoption and value realizationContinuously learn and upskill your expertise in our product features and functionality, as well as wider AI industry context to become an expert in best practicesExpertly communicate with customer stakeholders, from individual contributors all the way to C-level executivesIdentify and support new projects and initiatives to best support our team and customersCollaborate with Agent Product & Engineering teams to identify technical improvement opportunities and influence the product roadmap based on customer needsYou may be a good fit if you have:4+ years of customer facing experience in a Customer Success role in B2B SaaS Proven experience managing large customers and driving highly visible projects involving multiple stakeholdersExcellent communication and presentation skills, with the ability to simplify complex concepts for non-technical audiencesStrong interpersonal, persuasion and teamwork skillsBusiness understanding of GTM sales teams and processesStrong technical acumen and passion for the overall agent building process (ability to code not required or needed)Even better if you:Are familiar with Agentic AI tool deployments in large organizationsHave working knowledge of Customer Support processes, systems, and best practicesHave experience in a high-growth startup environmentHave a bachelor's degree in Science, Technology, Engineering, Math or similar fieldsBenefits:Comprehensive medical, dental, and vision benefits.Flexible vacation policy—take what you need to recharge.Daily meals and snacks to keep you energized and focused.

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About you:10x TPMhave managed complex projects (e.g., aerospace, large AI projects, etc.)live and breathe agile, continuous development, and AI-assisted development, but not beholden to any TPM dogma or toolimpatient and OCD detail-orientedlive in SF or mid-peninsula and like working in-officeAI nativehave a technical backgroundbelieve in manifesting the future of physical engineeringAbout P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We recently closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the Role:This role is an incredible opportunity for a rockstar TPM. You’ll be a “founding program manager” and initially report directly to our CEO and work with people across core engineering, customer engineering, and AI teams to help maintain execution discipline in the face of technological uncertainty and a rapidly growing team. You will play a key role in shaping our engineering culture and customer success. This is an in-office role in our SF Bay Area office.Interview Process:Initial screening - with Head of Talent (30 mins)Interview with Head of Operations (45 mins)Case study/hands-on interview with Head of Core Engineering (45 mins)Interview with CEO (30 mins)

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is at the forefront of AI technology, building next-generation computers where memory is a key component. We're seeking an innovative Memory Architect to push the boundaries of our memory chiplet architecture for AI and CPU applications. You'll work closely with fellow architects, cross-functional teams, and external partners to explore advanced memory technologies. This role is remote or hybrid, based out of North America or South Korea. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are You have a deep understanding of JEDEC standard DRAMs (GDDR, HBM, LPDDR, DDR) and their specifications.Experience with 3D-stacking, advanced packaging, custom memory, DFI, die-to-die interfaces, storage, and I/O protocols is a huge plus. You bring 10+ years of experience in memory system architecture, scheduling algorithms, and controller architecture exploration and design. You have hands-on experience building performance/power simulators or developing memory IPs in HDL. A deep understanding of memory reliability and security is a strong plus. You are a collaborative team player with excellent communication skills and a history of mentoring junior engineers. A PhD with a focus on computer architecture or a strong research background (or a publication track record) is a strong plus.   What We Need Define the architecture and micro-architecture specifications for memory and I/O chiplets, focusing on state-of-the-art memory technology for AI and CPU applications. Explore and evaluate next-generation memory technologies, analyzing trade-offs across key metrics like bandwidth, latency, and power to develop a strategic roadmap. Develop and own a detailed performance and power modeling infrastructure to enable data-driven decisions for high-throughput, low-latency memory architectures. Work closely with SoC design/verification, physical design, packaging, and systems engineering teams to ensure seamless integration. You will also communicate frequently with external partners and customers.   What You Will Learn How to lead architectural decisions and drive alignment across IP, SoC, and system software teams in a fast-paced and rapidly growing environment. How complex chiplets are brought to life, from architecture specifications all the way to silicon fabrication, packaging, and mass production. How Tenstorrent is designing next-generation chiplet-based SoCs that unify AI, CPU, Memory, I/O, and scale-out elements. How to optimize data movement across the entire software-hardware stack. You will exchange your expertise in the memory subsystem with fellow expert architects in AI, CPU, fabric, security, power, reliability, debug, system design, and scale-out.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. The Opportunity: Unlocking the Future of Robotics The future of robotics—from autonomous logistics and precision agriculture to surgical assistance and human-robot collaboration—is fundamentally bottlenecked by the availability of high-quality, high-fidelity training data. The physical world is infinitely complex, and capturing its nuance is the single greatest challenge holding back progress. To solve this, Labelbox is building an advanced robotics lab and software stack designed to generate pristine, structured data for the world's leading robotics companies.  We are seeking a visionary and operationally-driven leader to be the founding head of this critical initiative. As the Head of Robotics Data, you will be the single-threaded owner responsible for taking this program from its early stages to a scaled, potentially 24/7 operation. You will sit at the intersection of hardware engineering, software development, complex operations, and deep customer partnership, building the Robotics lab that powers the next generation of intelligent machines. Your Impact Strategic & Operational Leadership: Own the end-to-end vision and strategy for the Roboticslab. You will build and lead a high-performing, multidisciplinary team of engineers, operators, and technicians, fostering a culture of excellence, innovation, and urgency. Build a World-Class Data Factory: Architect, implement, and scale a robust 24/7 operational framework for data generation. You will develop rigorous processes, KPIs, monitoring, and automation to ensure unparalleled uptime, efficiency, and data integrity. Your goal is to build a machine that builds the data. Customer Obsession & Partnership: Serve as the primary technical and operational partner for our strategic robotics customers. You will work hand-in-hand with their engineering leaders to deeply understand their data requirements, quality bars, and cost constraints, translating them into actionable production targets and ensuring we consistently exceed their expectations. Technical Vision & Roadmap: Drive the technical roadmap across both hardware (robotics hardware, sensors, compute infrastructure) and software (data acquisition pipelines, processing workflows, quality control tools). You will partner with our core engineering teams to integrate this capability seamlessly into the Labelbox platform. Scale from 1 to N: You will be responsible for scaling every aspect of the program, from physical facility expansion and hardware procurement to software automation and global workforce planning. You will create the playbook that allows us to replicate and expand this capability to meet ever-growing customer demand. What You Bring A minimum of 10+ years of experience in a technical field, with at least 5+ years in a senior leadership role managing engineering, product, or operational teams. Proven track record of scaling complex, capital-intensive, 24/7 operations that involve a tight coupling of hardware, software, and human processes (e.g., manufacturing, data centers, advanced R&D labs, logistics/fulfillment). Deep expertise in the robotics domain. You should be comfortable discussing the intricacies of sensor modalities (LiDAR, stereo cameras, IMUs), data formats, and robotics software stacks (e.g., ROS). Demonstrated ability to own a technical and product roadmap, making difficult trade-offs between competing priorities in a fast-paced environment. Exceptional customer-facing skills with experience acting as a trusted technical advisor to external partners and executive stakeholders. A "first principles" thinker who is equally comfortable debugging a hardware issue on the floor, writing a strategic 3-year plan, or presenting to our executive team. BS or MS in Robotics, Mechanical Engineering, Computer Science, or a related technical field. Bonus Points Direct experience building or managing data collection/generation systems for machine learning. Experience in a specific robotics vertical such as autonomous vehicles, logistics automation, or manufacturing. Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation. If you are a builder who is passionate about robotics and wants to solve one of the most significant challenges in the AI industry today, we would love to hear from you.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$230,000—$280,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramOpportunity:Deepgram is looking for a Backend Software Engineer to join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.What You’ll DoImprove Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimizationDevelop processes for measuring, building, and optimizing services to maximize system performanceDebug complex system issues that include networking, scheduling, and high performance computing interactionsRapidly customize backend services to support our customer needsPartner with Product to design and implement new services, features, and/or products end to endYou’ll Love This Role If YouThrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessityEnjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design workIt’s Important To Us That You Have3+ years of experience in an industry roleProgramming experience in Rust (or C, C++), with competence in PythonExcellent communication and organizational skills, both written and verbal.A high level of experience and understanding of version control; preferably git.Comprehensive experience with UNIX-style systems.It Would Be Great if You HadExperience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformersExperience with audio processingBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada AI engineers at Ada have autonomy, ownership, and the mandate to make a large impact with product, design, and ML partners. We build scalable systems and work with LLMs. Staff Engineers set technical standards, act as subject matter experts, raise quality across teams, mentor widely, and lead cross team initiatives that move business outcomes. Our AI agent is powered by the Reasoning Engine, which grounds answers in each customer’s knowledge and policies and composes responses from retrieved context. Our Role As a Staff Engineer on the Performance team you focus on Ada’s Reasoning Engine. The engine retrieves the best first party content, grounds the LLM in that context, and generates replies to answer support questions for our clients. You partner with internal and external stakeholders to deliver a roadmap that keeps the engine performant, scalable, and reliable, and you translate technical tradeoffs into clear business impact. Own a clear area of the engine. Know our architecture, domain, and data. Pick the right tools and design for current and future load. Share knowledge through searchable docs. Lead reviews. Keep tests, observability, SLOs, and SLAs in place and met. Maintain a visible backlog of technical work. Keep dependencies up to date and fix security issues fast. Work with product and design from discovery through iteration. Prioritize high leverage work that increases developer velocity, reduces latency, unlocks capabilities, mitigates incident risk, improves onboarding, and results in clear how tos and documentation. Mentor across teams. Demo complex ideas. Establish repeatable patterns others adopt. Review designs and PRs beyond your team and stay available to unblock engineers. About You 7+ years in backend or full stack development across the lifecycle Built and scaled large distributed systems in production Deployed generative AI systems Strong grasp of cloud architectures and related technologies Designed and maintained APIs for external developers Clear communicator who partners across product, design, ML, and GTM Proven mentoring and technical leadership Outcomes Higher Automated Resolution with reliable, on policy replies Roadmap delivered for the Reasoning Engine with strong reliability and performance SLOs met with effective SLAs and clear observability Lower defects and regressions, current dependencies, no open security vulnerabilities Meaningful latency and throughput gains on high traffic paths Cross team improvements that lift developer velocity and platform capabilities Visible mentoring outcomes and org wide upleveling LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Enterprise Customer Success Manager at Anthropic, you will be a strategic partner to our enterprise customers, helping them harness the transformative potential of our LLM technology to achieve their business objectives. You'll work with strategic customers by providing best practices guidance while driving adoption and optimization of Anthropic's solutions. Your role focuses on helping customers scale their usage effectively, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. Responsibilities Implementation & Activation: Lead end-to-end rollout of Claude for Enterprise from kickoff to successful deployment, focusing on rapid time-to-value for customers Strategic Account Management: Own the customer experience across their lifecycle — managing account and success plans grounded in the customers’ business objectives, conducting Quarterly Business Reviews, identifying expansion opportunities, and serving as a conduit between the customer and Anthropic Technical Guidance: Become an expert in Anthropic's products, methodology, and prompting techniques to provide hands-on technical advice and optimization recommendations Change Management: Develop and execute strategies to drive user adoption and maximize value within customer organizations, including Train the Trainer and Center of Excellence  Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to ensure seamless customer experiences and relay customer feedback for product development You may be a good fit if you have: 5+ years of experience in Customer Success Proven track record managing both project-based engagements and ongoing strategic relationships Technical acumen, confident explaining complex topics to customers in all roles and levels A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs  Natural relationship-builder who brings structure and best practices to complex customer environments Strategic mindset with the ability to analyze customer needs and the market to capitalize on growth opportunities Passion for AI and interest in responsible development of advanced systems The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$200,000—$260,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.