AI Software Engineer Jobs

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doScale The Function: Lead,coach, and develop a high-caliber SE team, providing guidance, assigning projects and ensuring technical excellence. Conduct regular performance evaluations, foster professional growth, and coach team members to reach their full potential.GTM Technical Expert: Guide your team in designing and delivering compelling technical demos and proofs of concept for Sierra’s platform, providing technical solutions to customer challenges, and addressing technical questions throughout the sales cycle.Cross-Functional Work: Partner closely with Sales, Product, and Agent Engineering teams to define best practices, playbooks, and repeatable processes that enable your team and partnership to scale beyond 1:1 customer interactions.Lead & Support Customers: Act as a technical leader in early-stage customer conversations, helping your team understand, anticipate, and solve customer needs to advance Sierra’s industry-leading AI solutions.What you'll bring5-7+ years of experience in Sales Engineering, Solutions Engineering, or customer-facing technical sales, with at least 3+ years in a leadership capacity.Experience developing frameworks for how SEs partner with Sales, Product, and Engineering to deliver impact efficiently across accounts.History of establishing metrics and systems that measure SE impact on pipeline health, win rates, and customer adoption.Track record of leading presales processes and supporting enterprise and strategic sales cycles from discovery through close.Ability to translate customer business problems into Sierra’s technical solutions and clearly communicate to both technical and non-technical stakeholders across complex organizations.Even BetterExperience building Sales Engineering orgs in emerging categories (e.g., AI, data, security).Comfort with workflows, AI and ML concepts, APIs/webhooks, and JSON.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. What We're Looking For:We're looking for an Applied AI Engineer with deep experience deploying emerging AI technology in production and a demonstrated interest in security. You will have a major impact in how we add value to our customers by using emerging AI technologies and exposing their vulnerabilities. You will help design and implement AI solutions—from crafting components for offensive security operations to contributing to our autonomous offensive testing capabilities—that surface vulnerabilities across the AI application stack and outputs, partnering closely with senior engineers to translate research into reliable, scalable systems. This position requires practical expertise in creating, implementing, launching, machine learning systems and an interest in attacking them.Essential FunctionsBuild sophisticated AI systems capable of discovering vulnerabilities and streamlining penetration testing methodologiesResearch and implement AI-driven vulnerability detection and exploitation methodsAutomate exploitation workflows using AI technologiesLead complete development lifecycles for AI features from concept through deploymentDesign and implement advanced testing capabilities that detect vulnerabilities in AI-native applicationsResearch and target emerging attack vectors specific to applications developed with AI and implement detection methodsImplement scalable solutions that can use AI to exploit traditional CVEs, credential-based attack paths, and data pilfering vectorsGuide technical conversations, assess code quality, and facilitate design meetings while sharing knowledge to enhance team capabilitiesSupport and guide less experienced team members, fostering their professional developmentCompetencies/Requirements3+ years proven track record building and deploying AI/ML solutions in live environmentsExpert-level Python programming abilitiesYou’ve shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domainsDemonstrated interest in cybersecurity and penetration testingKnowledge of AI frameworks and machine learning libraries (such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and LangChain)Experience with ML data preprocessing techniques including normalization, feature engineering, and dataset preparation for model training and fine tuningExperience with cloud AI platforms such as AWS Bedrock, AWS SageMaker, and Azure AI, with ability to implement and optimize solutions across environmentsStrong analytical skills and ability to clearly communicate complex security conceptsComprehensive understanding of various database technologies, including relational and non-relational systemsDesired/Nice to HaveWe don’t expect these, but they elevate your application to “unicorn” status.Background in training specialized machine learning models for security purposesExperience with and understanding of AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testingExperience with AI red teaming or learning model vulnerabilitiesDemonstrated examples of exploiting AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testing enhanced by AI technologies, and researching machine learning weaknesses and countermeasuresExpectations:Outstanding problem-solving aptitude, a “hacker mindset”.Be self-motivated and highly energetic to have the ability to operate effectively with limited supervision and guidance.Strong technical documentation and communication skills.Ability to manage concurrent initiatives and use effective judgment in prioritization and time management.Excellent analytical/problem solving ability.What makes you stand out:Elevate your application to “unicorn” status:Experience identifying attack paths across full-stack environmentsBackground in application security testing, penetration testing, or offensive securityUnderstanding of web application security fundamentalsCertification(s) demonstrating cybersecurity expertise such as OSCP, CISSP, GPEN, Security+, LPT, or CEH. Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only develop solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform on a daily basis. Aside from the visual tools, our team primarily uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach data science and how to use the Dataiku platform to customers, and learn about new technologies. Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support Co-develop production-level data science projects with our customers across different industries and use cases Provide strategic input to the customer and account teams that help our customers achieve success Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Run demo booth/tech talk duties at company public events (e.g. Everyday AI) Contribute to internal assets (internal best practice or external blog post/project on the public gallery) Experience (What We’re Looking For) Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2-10 years of experience with Python and SQL 2-10 years of experience with building ML models and using ML tools (e.g., sklearn) Experience with LLM Experience with data visualisation and building web apps with Python frameworks (Dash, Streamlit) #LI-Hybrid #LI-AS2  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About MaincodeMaincode is an applied AI lab. We translate research into real-world tools: interfaces that support decision-making, surface insights, and express complex ideas with clarity. We believe AI’s next leap isn’t scale - it’s design. Our work bridges research and interface, helping people understand, navigate, and collaborate with intelligent systems.You’ll join the Design Engineering Group (DEG) - a small, embedded team working across brand, product, and early-stage prototypes. We care deeply about craft, clarity, and momentum. The RoleWe’re hiring a Design Engineer to help build demo-ready interfaces, support early AI prototypes, and expand our internal design systems and tools. This is a hybrid role: part engineering, part design.You’ll work closely with our Design Engineering Lead and collaborate with research and product teams. Some days you’ll refine a branded microsite; other days you’ll prototype a new interaction pattern for an Ollama-powered tool. Your work will balance polish with pragmatism: knowing when to push fidelity, and when to simplify. What You’ll Work OnCore WorkBuild and maintain high-quality layouts and components across Maincode and partner surfacesExtend our design system with new UI primitives, motions, and reusable patternsImplement polished, demo-ready interfaces (states, flows, interaction details)Manage staging, QA, and feedback cycles for production-facing projectsExploratory WorkPrototype interfaces for new AI interaction models (e.g. Ollama- or Docker-based tools)Use AI-augmented coding environments (Cursor, Claude Code, V0) to accelerate prototypingBalance speed and quality: quickly test ideas while delivering clean, maintainable codeTranslate experimental prototypes into usable microsite features or internal tools What We’re Looking For1–3 years experience (or equivalent projects/internships) in design engineering or hybrid rolesStrong visual instincts paired with systems thinkingDemonstrated ability to deliver polished, demo-quality UI/UX (attention to states, flow, typography, usability)Comfortable with Figma and frontend frameworks (React, Tailwind, Shadcn/ui or similar)Familiarity with containerised environments (Docker) and API integrationsCuriosity about interaction design for AI systems and willingness to work with inference backends like OllamaClear communicator: able to explain decisions, document trade-offs, and work iteratively Tools & PracticesYou’ll work across:AI-assisted coding tools (Cursor, Claude Code, V0)Figma for design and system explorationFrontend libraries like shadcn/ui and TailwindMotion.dev /equiv. for animation and system motionGitHub, Docker, Notion, and lightweight documentation for collaboration What Growth Looks LikeWithin 6–12 months, you will:Expand our design system with net-new components and patternsDeliver demo-ready AI prototypes in collaboration with researchContribute to design direction through both interface craft and engineering decisionsShow increasing independence in balancing speed, polish, and technical decisions What to IncludeWe’re not just looking for final results. Show us how you think:1–3 projects that demonstrate your design-engineering process (what you explored, how you executed, what you’d do differently)A short Loom (optional, max 5 min) walking through a projectAny examples of demo-quality UI/UX you’ve shipped Why This Role MattersInterface is how Maincode’s ideas are experienced. Your work ensures our research shows up in the world with clarity and precision — whether through a microsite, a system component, or an AI-powered prototype.Hiring ProcessWe move intentionally and communicate clearly at every step:Portfolio Review – We evaluate taste, process, and clarityIntro Chat – Casual conversation about fit and interestTake-Home Task – A focused, open-ended design–dev challenge (dockerised Ollama prototype + polished UI/UX)Final Chat – With our Design Engineering Lead and Maincode Founder

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Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Software Engineer (Infrastructure), you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components. Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs. Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments. Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability. Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers. Ideally you’d have: A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++ Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred) Track record of independent ownership of successful engineering projects Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions) Solid foundation and real-world experience in network engineering Nice to haves: Experience working cross functionally with operations Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt) Experience with authentication/authorization systems (Zanzibar, Authz, etc.) Experience with NoSQL document databases (MongoDB) and structured databases (Postgres) Experience with hybrid or on-prem systems Experience with orchestration platforms, such as Temporal and AWS Step Functions PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role As the Lead Software Engineer, Device Automation within the Device Automation, Build, and Quality Team, you will play a critical role in shaping the automated testing strategy and scaling the team. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated testing systems that ensure the quality and reliability of our AI Pin. As a senior technical leader, you will be highly hands-on in your work, while mentoring and guiding other engineers. You will also help build out the team, with the potential to step into a formal management role in the future. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and lead the implementation of automation frameworks and testing strategies for device-level and user-facing functionality. Drive initiatives to increase automation and improve code quality Mentor and guide junior engineers, fostering skill development and best practices in automation and quality engineering. Collaborate cross-functionally with System Software, Automation, and Test teams to ensure integration and alignment of testing strategies. Build and scale the automation engineering team through recruiting, onboarding, and team development. Utilize AI tools, such as OpenAI API, for deterministic and non-deterministic testing approaches. Design and implement reusable automated tests and tools that set the standard for the team, empowering other engineers to follow best practices. Leverage a deep understanding of system logs and backend processes to diagnose and resolve complex issues during testing. Contribute to continuous improvement efforts for build/release/test systems and CI/CD pipelines. Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 10+ years of experience in automation engineering, with a strong focus on device-level automation (experience with consumer electronics is a strong plus). Demonstrated leadership experience, including mentoring engineers or leading technical projects. Hands-on experience working with OSx and Linux. Strong proficiency in developing tools for test automation and writing test cases. Deep understanding of automated testing for native Android applications. Proficiency in Python or other object-oriented programming languages. Preferred Skills Expertise in designing and implementing scalable build/release/test systems. Familiarity with one or more continuous integration pipeline tools, such as Jenkins, GitHub Actions, or CircleCI. Strong interpersonal and communication skills, with the ability to manage cross-functional relationships. Proven ability to balance hands-on technical work with team mentorship and leadership responsibilities. Salary Range:  $150,000 - $210,000Compensation & 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 Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.The Opportunity Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery. What You’ll Do Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more) Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects Take complex problems from ideation to completion with full ownership and accountability What We’re Looking For 3-5+ years of software development experience shipping production code  Expert-level proficiency in both Python and TypeScript Community-oriented mindset with genuine passion for collaborative open-source development Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies Strong analytical skills to distill requirements from diverse sources and stakeholders Bonus Points, But Not Required Experience building SDK clients, instrumentation libraries, or platform APIs Hands-on experience with AI/ML observability or evaluation systems What Makes This Role Unique? You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies. The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for an experienced senior/staff engineer (5+ years of experience) who is product-minded, eager to tackle the challenge of building highly scalable, performant, and reliable features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take end-to-end ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI systems development. You’ll work alongside a talented team to deliver industry-leading solutions and play a key role in shaping Lightfield’s product and technical vision.What you’ll doCollaborate with product leaders to define strategic initiatives, identify critical customer problems, and drive requirements into technical execution.Build and maintain complex full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance.Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.Lead technical design discussions, mentor teammates at multiple levels, conduct thorough code reviews, and help set engineering best practices and standards.Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.Who you are5+ years of experience in software development, with a strong background in both front-end and back-end technologies.Experience building large-scale, high-performance, and mission-critical systems that support complex customer workflows and large-scale data processing.You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.Proven ability to design, architect, and scale distributed systems in production environments.Strong fundamentals in software engineering, with a degree in Computer Science or a related field (or equivalent industry experience).Thrives in ambiguity, able to independently scope, plan, and lead projects while delivering results in a fast-moving environment.Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

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🌁 Location: San Francisco, in-person only 💰 Salary: $170k - $210k annual salary + 📈 Equity 💻 Languages: Go, Rust, TypeScript, C ✅ Skills: Linux security, container hardening, threat detection, compliance frameworks👉 Who we are E2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.👉 About the role Your job will be to secure the infrastructure where billions of AI agents execute untrusted code daily. You'll be responsible for protecting companies' most sensitive AI workflows while maintaining our sub-200ms performance standards.You'll be building defense-in-depth security for our Firecracker microVM infrastructure, implementing real-time threat detection across tens of thousands of concurrent sandboxes, and ensuring compliance with enterprise security requirements.This role requires deep technical expertise in systems security and the ability to solve novel security challenges in the AI agent execution space.👉 What we're looking for5+ years of experience in production security infrastructureBeing comfortable with securing distributed systems at massive scaleDeep expertise in Linux security primitives (seccomp, eBPF, namespaces)Excited to work in person from San Francisco on cutting-edge AI infrastructureExperience with container security and microVM hardeningTrack record with compliance frameworks (SOC 2, ISO 27001, GDPR)Not being afraid to implement kernel-level security controlsIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be securing infrastructure that protects millions of AI agents with the support of the rest of the team.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We build and deploy AI platforms and applications for the world’s most important institutions — governments, healthcare systems, and Fortune 50 enterprises — solving problems where manual work and inefficiency still dominate.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $400M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have direct experience working with real-time streaming sensor data and time series databases and processing pipelinesCan work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact. What you will do Strategic Discovery & Vision Setting• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.• Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you • 2+ years in a client-facing strategic role (e.g., management consulting, value engineering, or technical sales).• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.• Executive presence and communication skills to influence senior stakeholders (VP, C-level).• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.• Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar) to demonstrate value.• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check Benefits France 💰 Competitive cash salary and equity🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.About the roleIn person 5 days/week in San Francisco, CA or New York, NYWe’re hiring a Senior QA / SDET Engineer to own quality across our LangGraph Cloud/Platform and LangSmith products. You’ll define the test strategy, build automation and tooling, and turn flaky, slow, or manual checks into fast, reliable, and observable pipelines. You’ll work closely with Infra, Backend, and Frontend to ship with confidence across Kubernetes-based services, APIs, and UI flows—and you’ll help pioneer quality practices specific to LLM applications (e.g., prompt regressions and evaluation suites).Own test strategy end-to-end across APIs, services, UI, data, and infra (K8s/Terraform/Helm).Build and maintain automation: API/integration tests (Python/pytest), E2E/browser tests (Playwright), load/soak tests (k6), contract tests, and smoke checks for production.Stand up ephemeral test environments in Kubernetes for PRs and release candidates; seed test data and run hermetic suites.Shift-left quality in CI/CD (GitHub Actions): parallelization, caching, deterministic seeds, flake tracking, and quality gates.Observability for tests: rich failure artifacts (videos, logs, traces), Datadog dashboards, and actionable alerts.Performance & reliability: baseline SLIs/SLOs for critical paths; capacity tests and regression detection.Partner on incident workflows: reproduce issues, add focused regression tests, and improve runbooks/postmortems.Documentation: high-signal test plans, playbooks, and contributor guidelines for writing good tests.Example projects you might ownA PR-ephemeral E2E harness that deploys a minimal LangSmith stack on Docker in CI and runs Playwright + API suites against seeded tenants.A k6 scenario that simulates multi-tenant traffic with queue/backpressure, surfacing p95/p99 latency regressions per release.A flake-budget system that auto-quarantines flaky tests, opens issues with artifacts, and tracks “time-to-deflake”.How to be successful in this role3+ years as QA/SDET/Software Engineer focused on test automation for distributed or cloud products.Strong hands-on experience with Python (pytest) and TypeScript (Playwright, Jest or equivalent).Familiarity with CI/CD (GitHub Actions preferred) and making pipelines fast, parallel, and reliable.Solid understanding of API testing, mocking/stubbing, and data setup/teardown.Comfortable defining quality bars, authoring test plans, and driving cross-team execution.BonusLoad/perf testing (k6), observability (Datadog, OpenTelemetry), and property-based testing (Hypothesis).Experience testing services running on Kubernetes and containers; comfortable with logs, events, and basic kubectl.Infra awareness: Helm/Terraform basics, Kubernetes networking, and secrets management.SQL fluency for data validation (Postgres/ClickHouse/BigQuery).Go/Node/React familiarity for targeted white-box tests and testability improvements.Compensation & BenefitsCompetitive salary and equity stake for role and stage of company. Commensurate with experience.Annual salary range: $145,000-$195,000 USD for Senior Engineers

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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 RoleJasper Research is seeking an experienced Data Engineer who will play a pivotal role in supporting our image research team to help design, scale, and maintain our data infrastructure, as well as data processing pipelines powering the training of state-of-the-art multimodal models.In this role, you will work closely with our research scientists and research engineers to collect, clean, and process large-scale datasets from a variety of sources, ensuring that our models are built on the best possible data foundations.This role is open to candidates located in France. It will be a hybrid setup, which requires you to come into the office when necessary. The office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.What you will do at JasperDesign and implement end-to-end scalable data pipelines to ingest, transform, and load data into our data warehouse.Analyze existing datasets and implement robust data validation, deduplication, and bias mitigation processes to ensure the highest quality and diversity of training data.Create training sets from existing data, using classical computer vision algorithms, vision models and LLMs.Optimize data loading, preprocessing, and augmentation workflows to eliminate bottlenecks and maximize training efficiency.Document all data processes, schemas, and transformations to ensure full reproducibility and transparency for the research team.Work hand-in-hand with research scientists and engineers to understand their data needs, provide actionable insights, and rapidly iterate on pipeline improvements.Source new multi-modal data from public sources.What you will bring to JasperBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.Strong experience as a Data Engineer or in a similar data-focused role.Strong experience in image manipulation at scale and understanding of computer vision.Hands-on experience with distributed computing frameworks and cloud platforms for distributed ML training.Familiarity with cloud-based data warehousing and storage solutions (e.g., BigQuery).Strong attention to detail, commitment to data quality, and a proactive approach to supporting research needs.Preferred QualificationsKnowledge of data transformation and enrichment techniques, including clustering, deduplication, and synthetic data generationExperience with vector databases for ML dataProficiency in Python and SQL for data manipulation and analysis.Proficiency in at least one ML library (TensorFlow, PyTorch, Jax). PyTorch preferred.Contributions to open-source data tools or projects.Familiarity with data privacy and compliance regulations (GDPR, CCPA).Benefits & PerksMutuelle coverage for hospitalisation and mental health care provided through Alan Comprehensive healthcare planFlexible PTO with a FlexExperience budget (€552 annually) to help you make the most of your time away from workFlexWellness program (€1,640 annually) to help support your personal health goalsGenerous budget for home office set up €1,375 annual learning and development stipend

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The roleWe're looking for a Product Manager who has built and shipped agent-based AI systems. Someone who understands the profound difference between single LLM calls and orchestrated multi-turn reasoning with tool use.You will own the evolution of our AI capabilities from reactive assistance to proactive automation, defining how intelligent systems can safely and effectively operate in clinical environments.You will report into Product leadership and partner closely with our engineering teams to architect clinical AI used by real clinicians.We don't care about logos; the traditional insignia of competence. We'll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.What you'll doArchitect agent systems that can reason through multi-step problems, understanding context and making intelligent decisions about tool useDesign orchestration frameworks and tool interfaces that enable AI to interact with complex systems safely and effectivelyObsess over clinician workflows - understand not just what they say they want, but what would actually transform their dayBuild evaluation methodologies for agent performance, measuring accuracy, reliability, and real-world utility in productionEstablish safety and constraint systems that ensure AI agents operate within appropriate boundariesCreate feedback loops between agent behavior and product iteration, using real-world performance to drive improvementsPartner with clinical teams to understand workflows and identify opportunities for intelligent automationIf we'd worked together the last 6 weeks, you'd have:Completed a listening tour across Heidi's products, understanding our current AI architecture and identifying opportunitiesSpent a full day shadowing clinicians at one of our partner health systemsShipped an experiment that challenged a core assumption about clinician behaviourWritten a product brief that engineering actually got excited about (rare, but it happens)Jumped into customer support tickets to understand current limitationsWhat we look for 4+ years PM experience with at least 2 years building AI/ML products, specifically agent systems, autonomous workflows, or multi-turn AI applications - but we care more about what you've built than years on the clockDeep technical expertise in agent architectures - you've worked with frameworks like LangChain, implemented reasoning patterns like ReAct or Chain-of-Thought, and understand tool use in productionA romantic streak about software - you believe products should be beautiful, not just functional, and that great design can transform someone's dayStrong understanding of LLM capabilities and limitations - you know what models can and can't do, and how to architect around constraintsAbility to design evaluation methodologies for agent systems, including performance monitoring and failure analysisSystems thinking - you see products as interconnected capabilities that combine and compose, not isolated featuresTechnical depth to engage meaningfully with engineersExperience with production AI challenges like latency optimization, cost management, and error handling at scaleThe disagreeableness to say the thing that shifts the entire room's perspective (and the tact to say it well)Work ON the business, not IN it - you set vision for your domain and connect it to company strategy, not just groom backlogsData fluency - you run your own queries, generate your own insights, and make decisions based on evidenceCommunication skills that work equally well with engineers, executives, and cliniciansTrack record of shipping products with measurable impact on real humansComfort with ambiguity and ability to navigate regulatory and compliance requirements in sensitive domainsIf you answer 'NO' to these questions, this may not be the job for you:Are you an execution powerhouse?Can you debug why an agent made a specific decision by analyzing its reasoning trace?Is design thinking baked into how you build products?Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call?Does the prospect of re-energising our health systems make you feel fuzzy inside?What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you will flourish with us 🚀?A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences. You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.ResponsibilitiesDesign, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled featuresWork directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedbackCollaborate with product, design, and data teams to take features from idea to production at startup speedNavigate ambiguity to define what to build when the path forward isn't clearStay on top of research and identify opportunities to ship magic to usersKeep systems fast and reliable under real-world usage Required Qualifications3+ years building products that people love, with demonstrated experience taking ideas from zero to oneTrack record of shipping quickly while maintaining quality - you know when to move fast and when to be thoroughThrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisionsStrong sense of product taste paired with deep customer empathyOutstanding communication skillsPreferred QualificationsExcited about all things AIExperience working with PythonStrong ML/LLM knowledgeExperience with evalsHistory of direct customer engagement and interactionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.Key ResponsibilitiesTechnical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.Qualifications5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems requiredDeep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systemsProven ability to take models from research to production, including optimization for latency and cost at scaleExperience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systemsTrack record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authorityExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomesOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Engineer, you will own and scale the data platform that powers AirOps insights on AI search visibility and content performance. You will set technical direction, write production code, and build a small, high-output team that turns raw web, content, and AI agent data into trustworthy datasets. Your work will drive customer-facing analytics and product features while giving our content and growth teams a clear path from strategy to execution. You value extreme ownership, sweat the details on data quality, and love partnering across functions to ship fast without losing rigor.Key ResponsibilitiesData platform ownership: design, build, and operate batch and streaming pipelines that ingest data from crawlers, partner APIs, product analytics, and CRM.Core modeling: define and maintain company-wide models for content entities, search queries, rankings, AI agent answers, engagement, and revenue attribution.Orchestration and CI: implement workflow management with Airflow or Prefect, dbt-based transformations, version control, and automated testing.Data quality and observability: set SLAs, add tests and data contracts, monitor lineage and freshness, and lead root cause analysis.Warehouse and storage: run Snowflake or BigQuery and Postgres with strong performance, cost management, and partitioning strategies.Semantic layer and metrics: deliver clear, documented metrics datasets that power dashboards, experiments, and product activation.Product and customer impact: partner with Product and Customer teams to define tracking plans and measure content impact across on-site and off-site channels.Tooling and vendors: evaluate, select, and integrate the right tools for ingestion, enrichment, observability, and reverse ETL.Team leadership: hire, mentor, and level up data and analytics engineers; establish code standards, review practices, and runbooks.Qualifications5+ years in data engineering with 2+ years leading projectsExpert SQL and Python with deep experience building production pipelines at scaleHands-on with dbt and a workflow manager such as Airflow or PrefectStrong background in dimensional and event-driven modeling and a company-wide metrics layerExperience with Snowflake or BigQuery, plus Postgres for transactional use casesTrack record building data products for analytics and customer reportingCloud experience on AWS or GCP and infrastructure as code such as TerraformDomain experience in SEO, content analytics, or growth experimentation is a plusClear communicator with a bias for action, curiosity, and a high bar for qualityOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps that we can use both internally and to productize for customers in different verticalsEvolve our services delivery playbook and resourcing, moving between execution and strategyUse AirOps platform to improve our internal and customer facing processes and prove out new use casesPartner with our Growth, Marketing, Sales, and Product teams to build new templates and workflows aligned to product launches and customer expansion opportunitiesWork cross functionally with engineering, design, CX, growth, and content team members to bring features to market quickly & iterate based on feedbackMonitor key metrics closely; analyze trends/patterns & recommend solutions to improve business outcomes; report findings/recommendations regularly to Exec teamPartner with design team on UX research initiatives aimed at improving customer engagement & conversions throughout the customer journeyTest the product and provide feedback to improve the customer experience and usabilityExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup; we 💚 former (or future aspiring) foundersComfortable moving fast in a startup where roles and responsibilities are fluidTrack record of running complex, multi-threaded projects in a hybrid environmentExperience with LLMs and AI techniques, including prompt engineering and retrievalExperience automating processes with workflow automation tools like ZapierStrong analytical skills with experience using data to inform decision makingExcellent project management skills, including proficiency in project management tools like Linear, Airtable, and AsanaStrong interest in the intersection between AI and growth, and the emergent capabilities and applications of LLMsFamiliarity with Python and JavaScript preferredSuperb written and verbal communication skills.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs a Senior Product Manager, you will lead the strategy, roadmap, and execution for the Agents products that translates AirOps insights into measurable outcomes for content teams. Your domain is the agent layer that researches, plans, drafts, optimizes, and refreshes content to drive visibility in AI-driven search experiences. You will partner with engineering, design, data science, and customer teams to ship high-trust, high-ROI functionality that moves customers from insight to publish.Key ResponsibilitiesSet the product vision and roadmap for AirOps Agents, from opportunity identification to brief generation, on-page and off-site optimization, and refresh at scale.Build agent orchestration that uses tools, actions, and retrieval to research topics, analyze gaps, draft content, optimize for AI search, and capture feedback into continuous improvement loops.Define and implement evaluation frameworks, including offline evals, red teaming, and human-in-the-loop review, to improve factual accuracy, tone, and compliance.Partner with customers, AEO/SEO leaders, and content strategists to prioritize use cases that move the needle on visibility across ChatGPT, AI Overviews, Copilot, Perplexity, and similar surfaces.Prototype rapidly, ship iteratively, and retire features that do not meet quality or impact bars.Qualifications5+ years in product management or adjacent product-building roles, including 2+ years working with AI, automation, or data-intensive products.Strong product instincts with a track record of shipping delightful user experiences that deliver measurable business outcomes.Fluency with core LLM concepts such as prompting, function calling, retrieval, embeddings, fine-tuning, and model evaluation.Experience designing agent workflows that combine LLMs with tools, structured data, and human review.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Plus: Domain familiarity with SEO and content operations, including briefs, outlines, on-page optimization, and content refresh strategies.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!