Find AI Work That Works for You

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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 Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleDesign and implement the secure infrastructure that powers Decagon AI's customer experience platform. You'll build the foundational systems that support our AI agents' security framework while ensuring enterprise-grade reliability and scalability. This role focuses on GCP architecture improvements and building security infrastructure that enables our software-first approach to protecting conversational AI. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.In this role, you willDesign and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model servingBuild Infrastructure as Code systems for deploying and managing security tools across development and production environmentsEnsure our security infrastructure maintains 99.99% uptime to protect customer interactions without service disruptionOptimize security systems to handle millions of concurrent conversations while maintaining sub-100ms response timesImplement systems that support SOC 2, ISO 27001, and other enterprise compliance requirementsDesign and maintain backup systems and recovery procedures for security infrastructureYour background looks something like this5+ years building production infrastructure with security focus, preferably for SaaS or enterprise softwareDeep knowledge of Google Cloud Platform architecture, including compute, networking, security, and managed servicesAdvanced proficiency with Terraform, Ansible, or similar tools for automated infrastructure managementExperience with secure container deployment, service mesh architecture, and Kubernetes security best practicesProven experience building infrastructure that handles millions of requests per day with strict latency requirementsEven betterTrack record of building infrastructure that supports rapid business growth and customer acquisitionStrong understanding of the operational challenges of securing customer-facing AI systemsA high degree of comfort digging into systems with deep technology stacks using any tool necessaryBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $300K + Offers Equity

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleLead the technical vision for securing Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll collaborate with our security leaders to architect our comprehensive security framework that protects against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role offers the opportunity to apply in-depth AI security expertise and develop enterprise software architecture. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.In this role, you willDesign and implement our complete security framework covering customer-facing products, infrastructure security, and enterprise integration pointsWork with AI/ML teams to embed security into model training, fine-tuning, and deployment processes to empower our research teams to innovate safelyDefine security standards and practices for enterprise customers, including tenant isolation, data protection, and compliance frameworksLead security incidents affecting operations, or ensure rapid resolution while maintaining service availabilityMentor security engineers and broader the engineering organization while establishing engineering practices that scale with rapid team growthYour background looks something like thisHave 7+ years of industry experience in security engineeringExperience designing secure, multi-tenant systems that handle millions of concurrent conversationsKnowledge of Google Cloud security architecture, including VPC security, IAM, and enterprise-grade deployment patternsProven track record building security systems that meet enterprise expectations (SIEM, Vulnerability Management, IAM, compliance platforms)Experience with SOC 2, ISO 27001, GDPR, and other enterprise security requirementsEven betterPrior experience working with multi-modal modelsDeep knowledge of, fine-tuning security, model poisoning, and adversarial attacks specific to conversational AISkilled and motivated to take advantage of advanced reasoning and software development tools such as Cursor, Claude Code, and Gemini for personal productivity improvements and design leverage.Benefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $350K + Offers Equity

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Engineer & Researcher - Reasoning Post-training at xAI, you will drive the evolution of our AI models' reasoning capabilities through inventive post-training approaches, embracing a broad scope that spans from conceptual exploration to practical implementation. This role demands a blend of technical depth and boundless creativity, where you'll refine pre-trained models to excel in logical inference, multi-step problem-solving, and adaptive thinking—without delving into initial training phases. By devising unconventional techniques and fostering creative breakthroughs, you'll help our AI systems tackle complex, real-world challenges with unprecedented intelligence and reliability, collaborating across teams to turn bold ideas into transformative enhancements. Focus Post-Training Optimization: Apply and innovate on post-training methods like fine-tuning, reinforcement learning variants, or data augmentation to sharpen reasoning skills, ensuring models deliver more accurate, coherent, and insightful outputs. Creative Methodology Design: Invent novel strategies for enhancing reasoning, such as custom prompting frameworks, synthetic reasoning datasets, or hybrid techniques that push the limits of model cognition through out-of-the-box thinking. Problem-Solving Exploration: Tackle broad reasoning challenges creatively, from debugging logical inconsistencies to engineering solutions for edge-case scenarios, using iterative experimentation to uncover hidden potential in models. Evaluation and Iteration: Develop creative benchmarks and metrics to assess post-training impacts on reasoning, enabling rapid cycles of refinement that align with evolving user needs and technological frontiers. Collaborative Innovation: Partner with diverse teams to integrate post-training advancements into our AI ecosystem, leveraging your creativity to inspire cross-pollination of ideas and accelerate overall model intelligence. Ideal Experience Post-Training Specialization: Extensive hands-on experience with post-training techniques (e.g., RLHF, DPO, or alignment methods) focused on reasoning improvements, with a portfolio of successful model enhancements. Creative Problem-Solving Prowess: Demonstrated ingenuity in solving ambiguous AI challenges, evidenced by innovative projects, research contributions, or unconventional approaches that yielded breakthroughs. Broad Technical Foundation: Proficiency in AI engineering tools (e.g., Python, PyTorch) and a solid grasp of model architectures, enabling you to navigate wide-ranging tasks from ideation to deployment. Research Versatility: Background in AI research with emphasis on reasoning, logic, or cognitive science, including publications or experiments that highlight creative applications in post-training contexts. Adaptable Expertise: 3+ years in multifaceted AI roles at cutting-edge organizations, where you've thrived in broad scopes by balancing creativity with rigorous execution to deliver high-impact results. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 RoleWe are seeking a systems-minded engineer to design, prototype, and build the internal tooling, data infrastructure, and automated workflows that ensure User Operations remains seamlessly aligned with Product and Engineering, even as our product surface rapidly expands. This is a technical IC role focused on designing and shipping robust, scalable software—not managing projects or creating slide decks. You'll create systems that power feedback loops, automate workflows, connect APIs, and deliver actionable insights, enabling our teams to move at the same pace as our innovative product organization.This role is based in San Francisco, California.In this role, you will:Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness.Architect launch‑readiness systems that streamline formerly manual processes, replacing ad‑hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale.Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy.Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.Collaborate cross‑functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics.Identify risks and challenges during rollouts, proposing solutions that safeguard customer experience and service levels.Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM‑powered flows.You might thrive in this role if you:Have 4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external).Write production-grade code in Python, SQL, or similar languages.Enjoy developing internal tools, workflow engines, and lightweight platforms.Understand and operationalize GTM workflows through thoughtful systems design.Are comfortable navigating ambiguity and collaborating cross-functionally.Prioritize exceptional user experiences for internal systems just as highly as customer-facing products.

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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. We are seeking a highly motivated Mechanical Design Engineer with a strong background in electric motor component design. You will be part of a fast-paced, cross-functional team building compact, high-performance actuators for a new class of humanoid robots. This role is ideal for an engineer with a few years of industry experience who thrives in a hands-on environment and is passionate about precision mechanical design, material selection, and rotor dynamics. Responsibilities: Own the mechanical design of motor subcomponents including rotor and stator laminations, shaft assemblies, and magnet retention structures Design, release, and iterate complex lamination stacks for high-efficiency, high-speed permanent magnet motors Collaborate closely with the electromagnetic, thermal, and control teams to ensure mechanical solutions meet overall system requirements Work on magnet selection and adhesive strategies for permanent magnet rotors, with a focus on structural integrity and manufacturability Perform structural FEA for rotor stress and rotor dynamics (burst speed, critical speed, balancing strategy) Drive motor CAD in CATIA and manage BOMs and drawing packages from prototype to production Oversee and support motor rotor balancing (static and dynamic) Interface with vendors for lamination, shaft, and magnet sourcing and fabrication Requirements:  Bachelor’s degree in Mechanical Engineering 2+ years of experience in mechanical design, preferably involving electric motors or rotating machinery Strong fundamentals in stress analysis, material selection, and tolerance stack-ups Experience designing for high-speed rotating systems, including consideration of burst strength and rotor balancing Proficiency in CAD tools, preferably CATIA V5 or V6 Knowledge of adhesives, magnet bonding, and rotor manufacturing best practices Strong communication skills and a team-first mindset Bonus Qualifications:  Master’s degree in Mechanical Engineering with a focus on dynamics, materials, or electromechanical systems Prior experience designing SPM (surface permanent magnet) rotors and stators Hands-on experience with motor prototyping and test setups Familiarity with FEA tools like Ansys Mechanical or Abaqus Understanding of manufacturing processes such as lamination stamping, shrink fits, and adhesive curing The US base salary range for this full-time position is between $130,000 and $160,000 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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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid 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. The Quality Technician will verify that incoming and in-process material meets Figure AI drawings and specifications. They will be responsible for the inspection of material and the coordination of MRB activities, including data input, reporting, and logistics associated with material dispositions. This person will also administer the calibration system, ensuring that measuring and test equipment is within its calibration due date. The Quality Technician will work closely with Quality Engineering to provide reports, charts, graphs, etc., to monitor and improve product quality. The successful candidate must have the ability to meet tight deadlines, possess strong interpersonal and communication skills, be detail-oriented, and be able to work independently. The candidate must establish and maintain a professional working relationship with line supervisors, operators, and other shop floor stakeholders. Responsibilities:  Inspection/verification of in-process Figure AI-built material Manage nonconforming material through the MRB process to ensure that nonconforming material is identified, appropriately dispositioned, tracked, and reported Take the lead on initiating containment activities for production quality issues Conduct root cause investigation and resolution of daily production and scrap material quality issues Provide data input and output reports to assist in quality improvement activities Coordinate calibration activities for go/no-go gauges and other quality tools used in the production process Provide mechanical measurement support to identify or solve potential material issues for production parts Actively support getting parts measured for FAI purposes Requirements:  3–5 years of experience in a Manufacturing Quality Control environment Knowledge of ISO 9001:2000 or TS16949 is a plus Ability to read and interpret basic mechanical drawings Able to use basic measurement tools such as pin gauges, bore gauges, calipers, and micrometers Proficient in Microsoft Office or Google Suite Must have command of the English language, both written and verbal The US base salary range for this full-time position is between $35 - $50/hr.  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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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 The IQ Design team is dedicated to creating simple, delightful, and transformative user experiences. We're seeking a Senior Design Engineer who bridges the gap between design vision and technical reality, bringing ideas to life through functional prototypes and polished production code. You'll work across teams and disciplines, collaborating with designers and engineers throughout HP IQ to explore new possibilities and ship experiences that feel like natural extensions of the human experience. As a Senior Design Engineer, you'll alternate between rapid experimentation and careful implementation. One day you might be prototyping a new interaction pattern for a hardware device; the next, you might be refining the animations that make our software feel alive. Success in this role requires both technical excellence and design sensibility. You should be equally comfortable debating typography choices and optimizing render performance. We're looking for someone who gets excited about the craft of building software, who sees code as a design material, and who believes the best way to evaluate an idea is to build it. You'll have the freedom to explore your own concepts while also serving as a technical partner to designers bringing their visions to life. What You Might Do Build functional prototypes that explore new interaction paradigms across hardware and software Translate design concepts into high-fidelity, interactive experiences using modern technologies Contribute production-ready code that emphasizes craft, performance, and delight Partner with designers to rapidly iterate on concepts, building multiple variations to find what feels "just right" Experiment with AI technologies and find innovative ways to integrate them into user experiences Collaborate across teams to ensure design intent carries through to shipped products Explore emerging technologies and find unexpected applications for real-world problems Mentor other engineers on design thinking and help designers level up their technical skills Shape technical standards and best practices for interface development Essential Qualifications 6+ years building digital products, with a portfolio demonstrating both technical excellence and design craft Fluency in contemporary development frameworks and languages, with the ability to choose the right tool for each prototype or product need Comfortable working in Figma and other design tools to understand intent and collaborate on solutions Has shipped production applications or experiences at scale and refined them based on real user behavior and feedback Experience with creative coding and building interactive prototypes that push beyond conventional interfaces Proven track record of technical leadership and collaborating effectively with designers and cross-functional teams Curiosity and resourcefulness when learning new technologies Deep appreciation for the nuances that make interfaces feel good to use Preferred Skills Experience with native development (SwiftUI, React Native, Compose) or game engines for prototyping Familiarity with AI technologies (LLMs, embeddings, vector databases) and their practical applications Background in creative tools like Processing, p5.js, Three.js, or experience with motion graphics, animation systems, and breathing life into interfaces Experience building design tools, component libraries, or developer-facing systems Understanding of motion design and animation principles Interest in bridging digital and physical experiences Side projects that show experimental thinking or unique approaches to problems Experience working in design-led organizations or as part of integrated design & engineering teams We request that you submit a portfolio showcasing 2-3 projects that demonstrate your ability to bridge design and engineering. This could include functional prototypes, production features you've shipped, or personal experiments. We're particularly interested in seeing your process—how you think through problems, iterate on solutions, and make decisions about implementation details that impact the user experience. Salary: $175,000- $250,000Compensation & 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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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI is seeking talented researchers and engineers to improve the safety of our AI systems and ensure that they are maximally beneficial for society. In this role, you will work toward measuring and architecting the behavior of our frontier AI systems across a wide variety of safety-relevant areas such as truth-seeking and deception. You will work across all stages of the model development pipeline, from collaborating with legal and product teams to iterate on policy guidelines, building new benchmarks to quantify novel behaviors, running human data collection projects, experimenting with novel post-training and reasoning training recipes, and shipping product updates to millions of users around the world. Focus Candidates for this role may focus on one or more of the following: Ensure truth-seeking behavior by Grok even in adverse situations Measuring and steering Grok’s propensities for deception, sycophancy, and power-seeking Developing and enforcing clear, consistent policy guidelines across models and products Building ecologically valid benchmarks to assess agentic propensities and capabilities Ideal experience The ideal candidate: has strong software engineering skills, has a background in post-training or evaluating frontier AI systems, is a team player and willing to pick up new skills to get the job done. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI is seeking talented researchers and engineers to improve the safety of our AI systems and ensure that they are maximally beneficial for society. In this role, you will develop AI security systems to mitigate safety risks arising from both misuse and misalignment. You will work across all stages of the model development pipeline, from collaborating with legal and product teams to iterate on policy guidelines, researching and quantifying novel safety threats, running human data collection projects, experimenting with novel post-training and reasoning training recipes, and analyzing the usage patterns of millions of users around the world. Focus Candidates for this role may focus on one or more of the following: Mitigating the potential for catastrophic misuse (e.g. chemical or biological weapons, large-scale cyber attacks) Improving adversarial robustness to emerging attack techniques Developing new approaches to secure tool use against prompt injection attacks Building automated systems to continually red team models and products Ideal experience The ideal candidate: has strong software engineering skills, has a background in post-training or evaluating frontier AI systems, is a team player and willing to pick up new skills to get the job done. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team Reasoning infrastructure team at xAI builds an end to end RL training framework to enable pretrain scale RL. About the Role In this role you might: Design and implement state-of-the-art distributed RL systems Profile, debug, and optimize system performance Software and algorithm co-design with researchers Ideal Experience Experience building, debugging, and optimizing large scale distributed training systems Experience building async RL training frameworks Experience in inference systems Proficiency in Python, Jax, or Rust Exceptional candidates may have: PhD with AI or other scientific domains Strong knowledge of reinforcement learning techniques Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The agent team at xAI makes AI models generalizable and capable of solving real-world challenges. About the Role In this role you might: Develop realistic agent environments and evaluation methods. Design RL algorithms for agent to learn by interacting w/ realistic environments Collecting and curating human and synthetic data to improve the capability and behavior of agent systems. Exceptional candidates may have: PhD with AI or other scientific domains Strong knowledge of reinforcement learning techniques Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we're deploying production LLM systems for our F500 clients largest workflows. This requires exceptional engineers who are going to push the boundaries of what is possible with LLM solutions.Lead AI Engineers at Distyl operate as the CTO of an engagement with a F500 customer, taking ownership of the project’s technical direction. They have a vision for the future and aren’t afraid to pitch bold ideas to F500 Enterprise Architects. From there, they lead a team of engineers to fundamentally transform how their customer operates. Always looking to grow, they’re driven by a passion for mastering their craft and excited to take on leadership roles that shape the future of AI.Key Responsibilities:Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.Qualifications:Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We Offer:An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Lead AI engineer and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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The Business Development Manager - Europe (Central Europe) will be responsible for building Shield AI’s business opportunities primarily in Central Europe focused on orders execution and growth. He/she will be responsible for engaging with customers, attending events, and product demonstrations. This person will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company WHAT YOU'LL DO:Engage with customers regularly to present and discuss Shield AI productsAttend trade shows, exhibitions, or other industry events to espouse Shield AI productsDevise and coordinate marketing and government relations opportunitiesBuild and devise the structure of industry partnershipsPlan and execute product demonstrationsWork cross-functionally to provide responses to or address customers needsLead proposal responseDevelop offset strategies REQUIRED QUALIFICATIONS:Willing to remain in or expatriate to Europe (minimum two-year overall expat assignment)Exceptional communicator: strong written, verbal, and presentation skills and the ability to communicate seamlessly at all levels of business and governmentCharismatic leader, with the ability to motivate and inspire others and impart excitement about Shield AI’s mission, technology, and productsDesire to help build the defining defense technology company of this centuryThorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations>6 Years of relevant military or prior defense industry or other international business experienceSelf-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlinesStrong international relationships and demonstrated ability to work well across and with various cultures, customs, etc.Strong technical knowledge within the UAV and/or AI disciplines (or demonstrated desire ability to learn quickly)Willing and able to travel internationally, frequently and without restriction, including customer sitesTeam oriented with the ability to communicate with a understanding of nuances associated with being collaborative while also being blunt and forthrightTechnically competent in the myriad of systems that are required to function at the speed of businessBachelor’s Degree or appropriate military education PREFERRED QUALIFICATIONS:Specific strategy or business development experience in EuropePrior UAV or AI business development experience in a defense-related contextProven leadership and/or operational experience within the DoD or international equivalents (e.g., MoD)Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systemsStrong research and analysis skillsRelevant Foreign Language Skills (e.g., European languages)

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role As a Senior Software Engineer, you will bring technical excellence outcomes to Jasper customers. You will spend time coding, doing technical design, and problem-solving, and contribute to Jasper’s ever-evolving AI platform. You will be part of a close-knit engineering team that ships new code into production multiple times a day.This fully remote role reports to the Engineering Manager and is open to candidates located anywhere in the continental US. What you will do at JasperDesign, develop, test, deploy, maintain, and improve softwareWrite readable, maintainable, self-documenting, or well-documented code to solve complex problems with simple, elegant solutionsTake initiative to identify and solve critical problems for Jasper’s customersScope and execute complex tasks in a timely and effective mannerOptimize performance and address scale issues proactively, including on-call responsibilitiesWork effectively with product and design partners to deliver projectsWhat you will bring to Jasper Demonstrated proficiency and continuous improvement in Jasper’s technical stack (TypeScript, React, Cloud Platforms, AI technologies)Demonstrated breadth and depth of technical expertise across multiple domains (AI, Cloud, application platforms, etc) Ability to navigate ambiguity through rapid prototyping Proven track record of software delivery for customers and their outcomesDemonstrated ability to mentor other engineersCompensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $187,000 - $220,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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Job Description: At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Hardware Test Engineering team plays a critical role in ensuring the V-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions—custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments. As an Electrical Engineer on our Hardware Test team, you’ll have the opportunity to design and automate test systems that validate everything from power electronics to RF communications. You'll work hands-on with PCB design, Python scripting, and advanced environmental testing (HASS, ESS, HALT) to ensure the highest standards of reliability. If you're passionate about building rock-solid hardware and thrive in a fast-paced, multidisciplinary environment, this role is for you. What you'll do:Design and own test systems for critical UAV components and subsystems, from concept to validation.Work across multiple EE disciplines, including power electronics, RF, communications, and system integration.Develop PCBs to interface between test stands and the device-under-test (DUT).Build custom test fixtures integrating relays, PLCs, PCBAs, and harnessing for automated and high-fidelity testing.Automate test sequences using Python, ensuring repeatability, efficiency, and scalability.Collaborate in cross-functional design reviews, advocating for testability improvements that streamline hardware validation.Adapt and innovate in a fast-moving, high-stakes environment, where your work directly impacts mission success.Other duties as assigned. Required qualifications:B.S. in Electrical Engineering or equivalent hands-on experience OR you are an undergraduate, graduate or PhD student expected to graduate in 2025. Strong foundation in electrical, mechanical, and software engineering principles.Experience in multidisciplinary hardware projects—whether through internships, jobs, clubs, personal projects, or research.A track record of ownership, innovation, and delivering results in complex technical environments.A team-first mindset, holding yourself and others to high standards, while being adaptable and solution-oriented.A track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications:Proficiency in Python or other scripting languages for automation.Experience with PCB design tools (Altium, KiCAD, Eagle, etc.).Familiarity with CAD tools (SolidWorks, NX, CATIA) for mechanical fixture design.Ability to problem-solve under pressure and pivot quickly in a dynamic, fast-paced engineering environment.

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About Us   At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.  The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities:Project Leadership – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.Data Quality Optimization – Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and. implementing feedback loops.Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.Annotators Training & Coaching– Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices.Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies. About you:You have 3+ years of professional experiences, ideally from top strategy consulting firms and/or best-in-class AI companies.You have strong experience in project management, data operations, and/or AI-related workflows.You are proficient in scripting languages like Python, SQL, or familiarity with relational databases and data annotation tools.You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.You are passionate in AI and machine learning, with experience in computer vision or generative AI being a strong plus.You thrive in fast-paced environments and collaborate with cross-functional teams to drive innovative solutions.You have communication and stakeholder management skills, with the ability to translate technical concepts into clear action plans.

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About Us   At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.  The Role As a Technical Programme Manager, you will be working closely with customers and the wider human data operations team to manage client’s data operations projects. You will be a focal point between the commercial and technical teams at Encord. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities:Project Management – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.Technical Solutioning– Be the expert of Encord products and offer technical advice to client regarding Encord best practices; Proactively suggest ways to improve project efficiencies via advanced platform features (e.g., data agents).Data Analysis– Perform ad hoc data analysis to generate insights for client projects, as well as for internal operations need.Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies. About you:You have a strong foundation in technical roles with at least 1 year of experience in relevant areas like data operations, AI workflows, or solution engineering.You have experience in project management, operations, and/or client relationship management.You have good understanding of using Python SDKs, APIs, SQL and cloud integrations is needed.You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.You are passionate in AI and machine learning, with experience in computer vision orgenerative AI being a strong plus.You have a hacker mindset to solve customer problems quickly and efficiently.

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The Business Development Manager - Europe (Southern Europe) will be responsible for building Shield AI’s business opportunities primarily in Southern Europe focused on orders execution and growth. He/she will be responsible for engaging with customers, attending events, and product demonstrations. This person will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company WHAT YOU'LL DO:Engage with customers regularly to present and discuss Shield AI productsAttend trade shows, exhibitions, or other industry events to espouse Shield AI productsDevise and coordinate marketing and government relations opportunitiesBuild and devise the structure of industry partnershipsPlan and execute product demonstrationsWork cross-functionally to provide responses to or address customers needsLead proposal responseDevelop offset strategies REQUIRED QUALIFICATIONS:Willing to remain in or expatriate to Europe (minimum two-year overall expat assignment)Exceptional communicator: strong written, verbal, and presentation skills and the ability to communicate seamlessly at all levels of business and governmentCharismatic leader, with the ability to motivate and inspire others and impart excitement about Shield AI’s mission, technology, and productsDesire to help build the defining defense technology company of this centuryThorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations>6 Years of relevant military or prior defense industry or other international business experienceSelf-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlinesStrong international relationships and demonstrated ability to work well across and with various cultures, customs, etc.Strong technical knowledge within the UAV and/or AI disciplines (or demonstrated desire ability to learn quickly)Willing and able to travel internationally, frequently and without restriction, including customer sitesTeam oriented with the ability to communicate with a understanding of nuances associated with being collaborative while also being blunt and forthrightTechnically competent in the myriad of systems that are required to function at the speed of businessBachelor’s Degree or appropriate military education PREFERRED QUALIFICATIONS:Specific strategy or business development experience in EuropePrior UAV or AI business development experience in a defense-related contextProven leadership and/or operational experience within the DoD or international equivalents (e.g., MoD)Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systemsStrong research and analysis skillsRelevant Foreign Language Skills (e.g., European languages)

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About Loop Loop is on a mission to unlock profits trapped in the supply chain and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, ABB, Tyson Foods, and Estee Lauder  work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role We’re doubling our SF engineering headcount from 10+ → 20+, while launching new transportation modalities, scaling volume 20x, onboarding 100s of clients and launching AI powered contract products. We are looking for a seasoned Engineering Leader who can keep shipping velocity high and developing the talent while the org quadruples in complexity.  You will report to our CTO and work closely with functional leads. Responsibilities Lead by example - Loop is an in-person-first culture. We expect you to work 4+ days/week in person in our SF office. Hiring multiplier - Source, close, and onboard top talent; improve funnel metrics. Hire 5+ engineers in SF in the next 6 months. Develop talent - Lead a team of 5‑10 engineers today, scaling to 15+ (incl. 1-2 junior EM) in 12 months. Coach, unblock, and conduct promo/performance cycles. Own the roadmap - Partner with Product on roadmaps; break ambiguous business outcomes into scoped, resourced projects. Drive and accelerate - Own and iterate the end-to-end product delivery process. Further accelerate velocity as the team scales. Qualifications  8 + yrs total software experience, 3 + yrs as a people‑manager. Built and coached teams that shipped customer-facing B2B SaaS on a public cloud (AWS, GCP or Azure). Track record delivering 0 → 1 product features and scaling them to thousands of users. Fluency in TypeScript / Go / Python; comfortable reviewing architecture and PRs. Data‑informed: you’ve run retros with DORA, engagement, and quality metrics. Strong written & verbal communication; adept at explaining trade‑offs to execs and ICs alike. Nice to have Domain exposure to supply chain, fintech, or deep B2B industry. Experience or experimenting with AI native EPD (engineering product design) organizations. Managed managers before. Compensations Base: 200k - 300k Competitive stock options Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, etc

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Job Description:The Hivemind Product Manager guides the development and product roadmap for the AI and autonomy software developed by Shield AI and flown on real-world aircraft. As HMP Product Manager, you will set priorities for software releases based on a deep understanding of both internal and external autonomy needs. These will be driven by direct interaction with autonomy engineers and technical directors, as well as a deep understanding of the technical landscape and both government and commercial customers. You will be the owner and primary driver of Shield AI’s autonomy software. What you'll do:The Hivemind Product Manager for Shield AI’s outreach leads the adaptation and development of Hivemind SDK to fit the distinct needs of partners.This role is responsible for defining and managing the product roadmap, ensuring the product variant addresses unique technical, and usability requirements of user personas.The Product Manager collaborates with cross-functional teams—including engineers, customer engagement team, and external partners—to collect feedback and translate it into prioritized product features.  Required qualifications:Typically requires a minimum of 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.B.S. in Computer Science; Similar degree or equivalent practical experience acceptable.  You have both breadth and depth of experience contributing to autonomy and robotics solutions. You are an expert communicator and collaborator with both technical and non-technical audiences. You are an expert at balancing technical vs business risks and turning engineering output into business outcomes. You are a relentless learner who can comfortably develop the specialized knowledge necessary for drive the roadmap of a highly technical product. You have deep customer empathy and are highly creative at crafting technical solutions to solve customer problems.  Preferred qualifications:Advanced degree (MSc or PhD)Track record of publications and papersExperience developing and shipping real-world autonomous robots Experience developing and shipping a developer-oriented product or platformExperience in highly technical customer facing roles Expertise in modern C++ and algorithmic development for autonomous perception, cognition, and action Expert user of robotics frameworks such as ROS/ROS2, NVidia ISAAC, or similar Experience with unmanned air systems Experience with airworthiness, functional safety, or cybersecurity