AI Marketing & Sales Jobs

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Snorkel AI is hiring a Technical Delivery Manager (TDM) to lead data development projects from start to finish. You will coordinate cross-functional teams, manage risks, and keep each initiative on track and on budget. The TDM will own every phase of the project lifecycle, ensuring deliverables meet Snorkel AI’s standards of quality. Our projects sit at the cutting edge of AI, requiring a focus on detail and a readiness to adapt as the field advances. Main Responsibilities Make Work Visible: Break tasks down, track progress, and keep stakeholders informed about changes, risks, or blockers. Bridge Concept and Execution: Convert abstract requirements into clear project plans. Manage Data Flows: Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, and query management. Identify and Mitigate Risks: Maintain a risk management plan and apply mitigation strategies as needed. Drum Up Cross-Functional Ownership: Provide spirited encouragement so teams see how their work fuels the project’s overall impact. Collaborate with Client Success: Work with the Client Success team to structure project details for external or client-facing materials. Manage Budget: Oversee project finances by tracking expenses, aligning resources with project goals, and ensuring spending stays within approved limits. Communicate budget clearly to stakeholders and provide timely updates on financial risks or adjustments. Communicate with Data: Present updates and forecasts using data-driven insights for diverse audiences. Minimum Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field  5+ years in technical service delivery or technical project management Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) to create, interpret, and present insights. Experience with SQL, JSON, python and query management for pulling, pushing, and consolidating data from multiple sources. Proven ability creating solutions “from scratch” and adapting swiftly to evolving needs Ability to adapt plans in resource-constrained or fast-changing environments Familiarity with system architecture and AI/ML concepts Strong communication and stakeholder management skills Preferred Qualifications Experience managing projects involving data labeling, annotation workflows, or LLM training Proficiency with Agile methodologies and project management tools (e.g., Jira, Confluence) Relevant certifications (e.g., PMP, PMI-ACP) Experience at a startup or growth-focused organization MBA or consulting background with a track record of turning broad goals into measurable outcomes Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. To support global hiring, this role will be employed through our Employer of Record partner. You will be a full-time Snorkel employee, fully integrated into our team and culture Pay Range: $4,000-$7,000 per month (USD)     #LI-GM1Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Director of Analytics & Research📍 Houston, TX (In-Person) | Full-TimeWe are a newly established single-family office in Houston with a mission to generate superior long-term returns. Backed by a young principal with a long investment horizon, we combine a broad mandate with advanced analytics and AI-driven processes to transform how investments are researched, underwritten, and managed. Our team brings experience from top roles across private markets, hedge funds, commodity trading, and global asset management. We are hiring a Director of Analytics & Research to play a pivotal role in shaping our investment strategy and risk framework. This role is ideal for a hands-on leader who wants to innovate at the intersection of technology, research, and investing. This role is based in Houston, TX, and relocation assistance is available. Why Join Us?This is a unique opportunity to build and lead a function at the center of the investment process. You’ll work directly with the CIO, influence decision-making, and apply cutting-edge data science and technology to private market and opportunistic investments.What You’ll DoLead research on macroeconomic, geopolitical, and sectoral trends.Design and manage risk frameworks, including stress-testing.Build dashboards for portfolio monitoring and performance attribution.Oversee data collection and ensure consistency of research inputs.Partner with the investment team to integrate insights into deal evaluationPresent findings to the CIO and Investment CommitteeWhat We’re Looking For10+ years’ experience in research, strategy, consulting, or investment managementStrong background in financial markets and economics (private capital experience a plus)Interest in applying AI/data science to investment researchComfort with tools like Python, SQL, NLP models, LLMs, and visualization platformsEntrepreneurial, collaborative mindset with strong communication skillsAn advanced degree and/or CFA are preferred but not required.What We OfferCompetitive salary and benefits packageAnnual performance-based bonusEmployee share plan tied to portfolio performanceProfit-sharing opportunitiesA chance to be part of a high-achieving, entrepreneurial team at an early stage

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We are seeking an Engineering Director to lead our Technical Infrastructure organization, spanning Developer Infrastructure, IT, HPC platforms, and EDA environments. In this role, you will unify and scale the teams that power developer productivity, corporate IT, high-performance compute clusters, and the EDA workflows critical to silicon design. You will partner closely with engineering leads, product teams, hardware organizations, and executive leadership to deliver reliable, secure, and scalable infrastructure that enables innovation in open source AI software and custom high-performance hardware. Success in this role requires driving alignment and progress across multiple teams and functions. This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Experienced leader of large, multi-disciplinary engineering teams. Background leading Developer Infrastructure, IT, HPC, EDA or similar environments. Skilled at scaling organizations and building strong leadership layers. Known for working effectively across teams and functions to achieve shared goals. Able to balance strategic vision with hands-on technical execution.   What We Need Lead and grow the DevInfra, IT, HPC, and EDA infrastructure teams under a unified strategy. Define roadmaps for CI/CD, observability, orchestration, enterprise IT systems, and compute platforms. Build and mentor leaders within each team, ensuring accountability and clarity. Drive operational excellence, security, and reliability across developer, HPC, and EDA workflows. Partner cross-functionally with engineering, hardware, product, and operations leaders to align infrastructure investments with business goals   What You Will Learn How to build and scale infrastructure at the cutting edge of AI software and custom silicon. How to drive alignment and momentum across diverse teams to deliver breakthrough results. Firsthand exposure to open source AI software, advanced chip design workflows, and massive distributed compute systems.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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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).• 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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Be Haast’s first U.S. Legal AI Implementation Strategist - driving AI adoption across Fortune 500 legal and compliance teams! Legal AI Implementation StrategistWe’re not just talking about AI - we’re building one of the first enterprise-grade LLMs delivering real value to compliance and legal teams today.Our AI-powered platform cuts review times by up to 80% and boosts productivity by 4x for global legal, compliance, and marketing teams. With regtech racing toward a $50B market, Haast is leading the AI revolution in enterprise compliance.Think of it this way: Design has Canva. Projects have Trello. Compliance has Haast.The Role: Legal AI Implementation StrategistThis is not your typical implementation role. As Haast’s first U.S. hire on the customer success and implementation team, you’ll have ownership from day one.You’ll work directly with Fortune 500 legal, compliance, and marketing departments, guiding them through onboarding, AI configuration, and rollout. You’ll also shape the playbooks, influence product strategy, and define how we scale customer success across the U.S.The role is ideally based in New York, but we’re open to remote candidates anywhere in the U.S.What You’ll DoOwn implementations: Drive projects end-to-end, from onboarding to rollout. Partner with clients: Map workflows, compliance rule sets, and business pain points. Build trust: Enable legal, compliance, and marketing teams to confidently adopt AI. Solve problems fast: Unblock challenges with practical, creative solutions. Translate complexity: Turn dense legal/regulatory docs into clear, AI-ready insights. Shape strategy: Develop playbooks and feed insights into the product roadmap. You Might Be a Fit If You…Have 2–5 years of experience practicing law (JD preferred) or in strategy consulting at a top-tier firm (MBB). Experience working with enterprise clients and building credibility with senior decision-makers. Strong problem-solving skills with a pragmatic, business-first mindset. Ability to simplify complex or technical concepts for non-technical audiences. Curious about AI - you may already be exploring tools like ChatGPT or Claude. Self-driven, detail-oriented, and thrive in fast-moving environments. Why Haast First U.S. hire in the CS team: Define how customer success and implementation are built in the U.S., with a direct line to leadership. Real career acceleration: Learn more in 12 months than most roles offer in 3 years, and grow with Haast as we scale. Compensation & benefits: Competitive salary, performance bonus, equity options, 401k & health insurance Flexibility: Ideally NY-based, but open to remote across the U.S. Collaborative culture: Engineering-driven, ambitious, and built for learning and growth. Lead the evolution from dull, traditional SaaS to AI-powered workflows Work with cutting-edge AI at the center of one of the biggest technology shifts of our time. Ready to shape how AI transforms compliance? Apply today.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you. If this role sparks your interest, reach out - let’s chat.

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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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SUPERHUMAN 👉We exist so that professionals end each day feeling happier, more productive, and closer to achieving their potential.Our customers get through their inboxes twice as fast; many see inbox zero for the first time in years.Today we are…The fastest email experience in the worldLoved and adored: see what our customers say📣 We've joined forces with Grammarly to build the AI-native productivity suite of the future, with Superhuman as the central communication layer. This partnership accelerates our mission to help professionals achieve their potential — now at even greater scale.Come shape the future of email, communication, and productivity!BUILD LOVE 💜At Superhuman, we deeply understand how to build products that people love. We incorporate fun and play; we infuse magic and joy; we make experiences that amaze and delight.It all starts with the right team — a team that deeply cares about values, customers, and each other.CREATE MASSIVE IMPACT 🚀We're not solving a small problem, and we're not addressing a small market. We're going after email; the one activity that consumes more of our work day than any other.Our ambition doesn't stop there. Next: calendars, notes, contacts, and team communication. We are building the productivity platform of the future.DO THE BEST WORK OF YOUR LIFE 🌟We have created the frameworks for how to build product market fit and redefined the narrative of how to onboard customers successfully. We have shown the world it’s possible to build a premium productivity brand. Our investors included Andreessen Horowitz, First Round Capital, IVP, Tiger Global Management, Sam Altman, and the founders of Gmail, Dropbox, Reddit, Discord, Stripe, GitHub, AngelList, and Intercom.This time, we’re swinging beyond the fences and fundamentally rethinking how individuals and teams should collaborate. We are building a household brand and a worldwide organization. We are here to do the best work of our lives, and we hope you are too.ROLE 👩🏽‍💻👨‍💻Design, develop, and scale backend systems that serve millions of usersPower amazing user experiences by building new features and improving existing onesEvaluate and refine solutions to deliver a highly performant and exceptionally reliable backend systemBecome an expert in backend development and expand your development across the stack and to various platformsCollaborate across teams to define how our systems should evolveSupport code quality, new technologies, and architectural design within the companyUphold and advance the security and reliability of Superhuman’s systemsTechnologies we use: Go, Postgres, Redis, Kubernetes, Google CloudSOUND LIKE YOU? 🙌Experience: You have 5+ years of software development experience, with 4+ years focused on backend development. You’re an expert in Go, Typescript, or Python. You have deep expertise in architecting for performance and scale.AI Enthusiast: You believe AI will revolutionize how we work as well as the experiences that we create for our customers. Driven by passion and curiosity, you leverage AI to dramatically increase your own productivity and the impact of your team.Remarkable Quality: You produce work that is striking, worthy of attention, and a contribution to the state of the art.Asynchronous Communicator: You’re effective across various mediums (especially Slack, Notion, and email) and can produce and consume detailed written materials as needed without sacrificing speed. You respond quickly and thoughtfully to unblock others and speed things up.Start-to-Finish Ownership: Acts with 100% responsibility for their own outcomes as well as the outcomes of the company.Bias to action: Speed matters. Takes rapid and decisive steps forward, even in the face of uncertainty, recognizing action is the catalyst for progress and growth.Growth Mindset: You embrace challenges, welcome feedback, and believe you and others can always grow.SALARY INFO 💸Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location.Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by location and may be modified in the future.SF/NY/Seattle: $180,000-$306,000Other US geographies: $162,000-$275,000Canada: $128,000-$246,000 CADThe salary ranges do not reflect total compensation, which includes base salary, benefits, and company equity. This range is intentionally broad because we are open to considering candidates at multiple levels of seniority within engineering. The exact salary offered will depend on the candidate’s skills, experience, and the level at which they join our team.BENEFITS 🎁Taking Care of Your Future 🙏Comprehensive medical, dental, and vision coverage for you and your familyMental health support and counseling servicesRetirement savings plans with employer matchingLife and disability insurance coverageGenerous Time Off 🏝Generous paid vacation days and public holidaysComprehensive parental and caregiver leave policiesInvesting in Your Growth ✍️Professional development budget for courses, training, and booksRegular feedback and career development check-insSetting You Up For Success 🧑🏻‍💻👩🏾‍💻MacBook Pro laptop for your workStandard setup with monitor, keyboard, and mouse/trackpadGenerous budget to make your workspace your ownAt Superhuman, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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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 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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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 140 talented people 🚀 Our annual recurring revenue is growing over 9x year-over-year ⭐️ With +130k GitHub stars, we are in the top 50 most popular projects of all time on GitHub 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)We are now looking for a Senior Support Engineering in Europe to continue to make sure that all of our users (from enterprise customers to community members) have a best in class support experience.You will get a chance to set standard for delighting our customers and develop a deep knowledge of the low code & AI landscape while being part of building a best in class support team.Responsibilities:Provide technical support to users via tickets, chat, and community forums.Diagnose and troubleshoot issues related to n8n, including workflow execution, integrations, and performance.Collaborate with the engineering team to escalate and resolve complex technical challenges.Create and maintain documentation, FAQs, and knowledge base articles.Identify common issues and work on solutions to improve product reliability and user experience.Contribute to the community by answering questions and sharing best practices.Requirements:5+ years of experience in a technical support or customer-facing engineering role (+ if experienced with enterprise support)Open to participate in an paid on-call rotation to provide after-hours supportStrong understanding of workflow automation, APIs, and integrations.Strong knowledge of networking concepts like DNS, HTTP/HTTPS, and TCP/IPGood understanding of JavaScript, Node.js, and Docker.Experience with Kubernetes is a plus.Excellent problem-solving skills and attention to detail.Strong communication skills and ability to explain technical concepts to non-technical users.Passion for helping users and improving product usability.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.Location: Toronto / Sunnyvale  We're looking for a deeply technical, hands-on engineering leader for our Inference Service Platform. You will lead a high performing team to tackle a critical challenge: scaling LLM inference on Cerebras’ advanced compute clusters and delivering a world-class, on-prem solution for enterprise customers. In this role, you’ll set the technical vision while staying close to the code, architecting highly reliable, low latency distributed systems. If you have proven expertise in distributed systems and scaling modern model-serving frameworks, we want to hear from you.  Responsibilities  Provide hands-on technical leadership, owning the technical vision and roadmap for the Cerebras Inference Platform, from internal scaling to on-prem customer solutions.  Lead the end-to-end development of distributed inference systems, including request routing, autoscaling, and resource orchestration on Cerebras' unique hardware.  Drive a culture of operational excellence, guaranteeing platform reliability (>99.9% uptime), performance, and efficiency.  Lead, mentor, and grow a high-caliber team of engineers, fostering a culture of technical excellence and rapid execution.  Productize the platform into an enterprise-ready, on-prem solution, collaborating closely with product, ops, and customer teams to ensure successful deployments.  Skills & Qualifications  Technical Leadership: 6+ years in high-scale software engineering, with 3+ years leading distributed systems or ML infra teams; strong coding and review skills.  Inference Expertise: Proven track record scaling LLM inference: optimizing latency (<100ms P99), throughput, batching, memory/IO efficiency and resources utilization.  ML Systems Knowledge: Expertise in distributed inference/training for modern LLMs; understanding of AI/ML ecosystems, including public clouds (AWS/GCP/Azure).  Frameworks & Tools: Hands-on with model-serving frameworks (e.g. vLLM, TensorRT-LLM, Triton or similar) and ML stacks (PyTorch, Hugging Face, SageMaker).   Infrastructure: Deep experience with orchestration (Kubernetes/EKS, Slurm), large clusters, and low-latency networking.  Operations & Monitoring: Strong background in monitoring and reliability engineering (Prometheus/Grafana, incident response, post-mortems).  Leadership & Collaboration: Demonstrated ability to recruit and retain high-performing teams, mentor engineers, and partner cross-functionally to deliver customer-facing products.  Preferred Skills  Experience with on-prem/private cloud deployments.  Background in edge or streaming inference, multi-region systems, or security/privacy in AI.  Customer-facing experience with enterprise deployments.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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 Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $23M ARR with just 20 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. Check us out on the Top Lean AI Native Companies Leaderboard at https://leanaileaderboard.com/.About the RoleAs an Ex-founder (Technical), you’ll join Retell AI as a versatile, high-impact leader, shaping our AI voice platform in its earliest stages. Leveraging your startup experience, you’ll wear multiple hats—spanning product, engineering, and strategy—to drive innovation and execution. You’ll collaborate closely with the founding team to tackle ambiguous challenges, build scalable solutions, and define the future of voice automation. This role offers unparalleled ownership and the chance to shape a category-leading product from the ground up.Key ResponsibilitiesDrive 0→1 initiatives, from ideation to execution, across product, engineering, or growth, adapting to the company’s most pressing needs.Build and iterate on core platform features, such as voice agent APIs, integrations, or developer tools, using languages like Python, JavaScript, or TypeScript.Collaborate with co-founders to define product strategy, prioritize roadmaps, and align on technical and business goals.Tackle ambiguous problems, prototyping solutions and shipping production-ready systems under tight timelines.Mentor early team members, fostering a culture of ownership, speed, and craft.Translate customer and market feedback into actionable product improvements and strategic recommendations.GTM / PLG PathHave founded or co-founded a product-led startup, owning the go-to-market strategy from 0→1.Bring 2+ years in PLG, growth, or GTM roles (e.g., product marketing, growth ops, customer success, sales-led + PLG hybrid).Thrive in fast-paced, ambiguous environments, juggling experiments in acquisition, activation, retention, and expansion.Take ownership like a founder—designing growth loops, running campaigns, and iterating on onboarding experiences to move key metrics.Communicate clearly, aligning teams around GTM insights and making tough strategic calls with confidence.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: $215k – $290kEquity: 0.2% – 0.6%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.Other Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bills coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessConversations With Co-Founders: You'll go through several focused conversations with Retell's co-founders. We go deep on product thinking, technical ability, and cultural alignment. We move quickly, keep things respectful and transparent, and treat every candidate like a potential future teammate.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, leveraging your founder experience to build a category-defining platform.

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📍 Working Arrangement: Dublin, Ireland (Remote - work from anywhere in DublinShape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding AI Engineer based in Dublin to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong proficiency in Python is a mustDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Dublin and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in Dublin High ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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📍 Working Arrangement: Dublin (Remote - work from anywhere in Dublin)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding Lead AI Engineer based in Dublin to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Dublin and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in Dublin High ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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📍 Working arrangement: Remote — remote in Dublin, Ireland Build Intelligent Systems from Model to UI — and Everything in Between At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia — making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to bring intelligent features directly into users’ hands. You’ll operate across the stack — from backend systems and ML model integration to frontend delivery — and help shape how millions of users experience intelligent financial services. This is a hybrid role based in Malaysia, working closely with teams across product, data, and engineering.Why This Role MattersYou’ll be the critical link between AI models and user-facing featuresYour work will define how intelligence is delivered to millions of usersYou’ll build end-to-end systems that combine backend, ML, and frontend engineeringYou’ll thrive in a lean, fast-moving team that values bold execution and real-world impactWhat You’ll DoBuild and deploy full-stack applications that leverage machine learning modelsCollaborate with ML engineers and data scientists to integrate models into productionDevelop backend services, APIs, and pipelines to power intelligent featuresBuild intuitive and performant UIs that surface AI insights clearly and meaningfullyOwn the full development lifecycle — architecture, implementation, testing, deployment, and monitoringWork with product, design, and engineering teams to deliver seamless user experiencesContinuously improve the performance, scalability, and reliability of AI-integrated systemsYou’ll Thrive Here If You...Love shipping fast — you’d rather launch V1 this week than perfect V3 six months laterTreat every problem as your own, regardless of scope or titleEnjoy switching hats — builder, debugger, architect, and product thinker when neededBelieve clarity comes from action — prototype, test, and iterate without waiting for perfect plansStay calm and effective in startup chaos — shifting priorities and building from zero doesn’t faze youSee feedback and failure as part of growth — you're here to level upBelieve “done” beats “perfect,” but still care deeply about UX and code qualityShow up with humility, hunger, and hustle — and lift up others as you goRequirementsBachelor’s degree in Computer Science, Software Engineering, or related field2–4 years of experience in full stack development (frontend + backend)Strong coding skills in Python is a MUST and JavaScript (Node.js, React), or similar stacksExperience integrating machine learning models into production applicationsSolid understanding of API development, RESTful services, and cloud deploymentComfortable working with SQL/NoSQL databases and scalable system architectureProficient in debugging, testing, and modern software design best practicesNice to HaveExperience with tools like FastAPI, Flask, TensorFlow Serving for ML model deploymentFamiliarity with frontend frameworks like Next.js, Vue, or TypeScriptExposure to ML lifecycle and ops tools (MLflow, Airflow, Docker, GCP/AWS)Experience in high-growth startup or agile product development teamsUnderstanding of AI explainability and data visualization in user interfacesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility — work from home and collaborate in-office at HQHigh-impact role with visibility across product, data, and engineeringFlat structure — your work is seen, your ideas are heardFast learning curve and accelerated growth in a mission-driven companyRegional exposure across Southeast Asian marketsAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia with operations in Thailand, Taiwan, and Japan, we help millions of users access affordable, transparent financial protection. We use AI, automation, and APIs to simplify complex financial products — making them accessible, faster, and fairer. If you're excited to bring AI to life through full stack engineering and want to build products that reach millions — we’d love to hear from you.

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📍 Working arrangement: Dublin (Remote - work from anywhere in Dublin)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Dublin, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong proficiency in Python is a mustExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Dublin and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in Dublin Direct impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.