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Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Malé, Maldives; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates; New Delhi, India Our client, a successful restaurant group in Dubai, is looking for a skilled Commis II – Bakery & Pastry to support the preparation and production of a wide variety of baked goods, pastries, and desserts while maintaining the highest culinary standards. The ideal candidate should have solid bakery and pastry experience, strong technical skills, and the ability to work efficiently in a fast-paced kitchen environment. As a valued member of the pastry team, the Commis II will work closely with the Head Pastry Chef , Sous Chef , and Chef de Partie to achieve daily production goals, maintain kitchen efficiency, and ensure compliance with food safety and hygiene standards. Primary Responsibilities Assist in the preparation and production of bakery and pastry items according to recipes and quality standards. Prepare ingredients, doughs, batters, fillings, creams, and other pastry components. Bake, decorate, and present pastries, breads, cakes, and desserts as instructed. Ensure consistency in product quality, taste, and presentation. Maintain cleanliness, organization, and sanitation of the pastry kitchen and workstations. Operate bakery and pastry equipment safely and efficiently. Monitor baking times, temperatures, and product quality throughout production. Support inventory control by assisting with stock rotation and proper storage of ingredients. Follow all food safety, hygiene, and HACCP standards. Assist in training and guiding junior kitchen staff when required. Perform other duties assigned by the Head Pastry Chef, Sous Chef, or Chef de Partie. Requirements Requirements 2–3 years of experience as a Commis Chef , with at least 1 year of experience in a bakery and pastry kitchen. Experience in a high-volume restaurant, hotel, or bakery is an advantage. Culinary diploma with a specialization in Baking & Pastry Arts or equivalent professional training. Ability to read, write, and communicate in English. Good knowledge of bakery and pastry production techniques. Strong attention to detail and consistency in product presentation. Ability to work efficiently under pressure in a fast-paced environment. Good organizational and time-management skills. Team player with a positive attitude and willingness to learn. Able to work indoors in environments exposed to heat from ovens and cooking equipment. Able to stand and walk for extended periods during shifts. Physically capable of lifting bakery ingredients and supplies when required. Willing to work flexible shifts, including weekends and public holidays, on a rotational basis. Benefits As per the market standards

Location: Dhahran, Saudi Arabia Eram Talent is seeking a detail-oriented and highly skilled CNC Coolant Filling Technician with specific experience in Post Weld Heat Treatment (PWHT) plant environments. The successful candidate will be responsible for the comprehensive management, preparation, and maintenance of metalworking fluids and coolants for high-precision CNC machinery. This role is critical to maximizing tool life, ensuring machining quality, and maintaining safe, continuous operations within a heavy industrial setting. Key Responsibilities Coolant Management: Accurately mix, distribute, and replenish coolants, cutting fluids, and lubricants across multiple CNC machines according to specific operational parameters. System Testing & Monitoring: Perform daily chemical tests using refractometers and pH meters to monitor coolant concentration, alkalinity, and biological control. Equipment Maintenance: Execute routine cleaning of machine sumps, operate tramp oil skimmers, and maintain coolant recycling and filtration equipment to prevent fluid degradation. PWHT Plant Integration: Safely navigate and operate within heavy industrial environments, specifically alongside Post Weld Heat Treatment (PWHT) operations, ensuring all fluid management aligns with the plant's production and heat-treating schedules. Troubleshooting: Identify and resolve fluid-related issues such as foaming, foul odors, rust, or poor tool life, adjusting chemical dosing as necessary. Inventory Control: Track the consumption of chemical inventory, manage stock levels of raw coolant fluids, and initiate purchase requests to prevent shortages. HSE Compliance: Strictly adhere to all Health, Safety, and Environmental (HSE) protocols regarding the handling, storage, and disposal of hazardous chemicals and waste fluids. Maintain accurate logs and Material Safety Data Sheets (MSDS). Requirements Education: High School Diploma, Technical Diploma, or equivalent certification in mechanical maintenance, machining, or industrial chemistry. Core Experience: Minimum of 5 years of hands-on experience in CNC machine maintenance, specifically focused on fluid and coolant management. Industry Experience (Mandatory): Proven work history within heavy manufacturing, Oil & Gas, or large-scale industrial plants. Specific experience working in or around PWHT (Post Weld Heat Treatment) plants is strictly required. Technical Skills: * Proficiency in using fluid testing equipment (e.g., refractometers, titration kits). Strong understanding of coolant chemistry, mixing ratios, and bacterial control. Familiarity with CNC sump cleaning operations and industrial pumping equipment. HSE Knowledge: Solid understanding of industrial safety standards (e.g., OSHA, local regulations) and safe chemical handling/disposal procedures. Soft Skills: Excellent physical stamina, strong attention to detail, and the ability to work effectively both independently and alongside machining operators.

Location: United States | Miami, USA WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. THE ROLE Higgsfield AI is seeking a GTM Director – Latin America (LATAM) to lead our commercial growth across the Latin American market. This is a senior individual contributor role responsible for driving enterprise sales, developing strategic customer relationships, and accelerating Higgsfield's expansion throughout Latin America. You will partner closely with cross-functional teams to introduce the world's leading organizations to the future of AI-powered creative technology. The ideal candidate has a successful track record selling enterprise software into sophisticated organizations, understands complex buying environments, and is excited to help define the commercial strategy for one of the fastest-growing AI companies in the world. This position is based in Latin America. WHAT YOU'LL DO DRIVE REVENUE GROWTH - Own the LATAM territory and achieve aggressive revenue targets. - Develop and execute strategic account plans across enterprise customers. - Manage full sales cycles from prospecting through negotiation and close. - Maintain accurate forecasting and pipeline management. BUILD EXECUTIVE RELATIONSHIPS - Develop trusted partnerships with executive stakeholders across enterprise organizations. - Lead strategic customer conversations around AI transformation, creative workflows, and business value. - Represent Higgsfield at industry events, executive meetings, and customer engagements. PARTNER CROSS-FUNCTIONALLY - Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal throughout the customer lifecycle. - Provide customer insights that influence product development and go-to-market initiatives. - Support customer expansion and long-term account success. EXPAND HIGGSFIELD'S PRESENCE - Build Higgsfield's reputation across the Latin American AI, media, advertising, and enterprise technology ecosystem. - Develop relationships with key industry partners, agencies, channel partners, and strategic influencers across the region. - Serve as the voice of the LATAM market internally. WHAT WE'RE LOOKING FOR - 8–12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related technology sales experience. - Demonstrated success exceeding enterprise revenue targets across Latin America. - Experience selling to large enterprise organizations with complex procurement and legal processes. - Strong executive communication, presentation, and negotiation skills. - Deep understanding of the Latin American enterprise market, including regional business practices and buying dynamics. - Ability to develop multi-country territory strategies and execute independently. - Strong collaboration across globally distributed teams. - Excellent written and verbal communication skills in English and Spanish. Portuguese proficiency is strongly preferred. - Experience selling AI, generative AI, creative technology, marketing technology, advertising technology, or media platforms. - Existing relationships with enterprise organizations, agencies, media companies, or strategic partners across Latin America. - Experience at a high-growth venture-backed startup. - Familiarity with PLG and enterprise sales models. - Experience using Salesforce, HubSpot, or similar CRM platforms. - Must be able to travel. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - United States Base Salary: The anticipated salary range for this role is $150,000 – $220,000, depending on experience, skills, scope, and location. - LatAm Countries Salary: Determined by country. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a remote role based in Miami, Florida or in LatAm. Travel will be expected for this position. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Palo Alto ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   We are seeking a talented IT Specialist  to become a key player in delivering an exceptional digital experience to all our employees. In this role, you will provide high-quality technical support across hardware, software, and collaboration tools, ensuring that every user receives fast, reliable, and friendly assistance. You will also cover complex projects such as office openings, moves, and more in the US and APAC, aligning user support, IT operations, and onboarding processes. You will troubleshoot complex issues, manage equipment and user accounts, and maintain accurate records of incidents and inventory. You will also guide and train users on best practices, contribute to improving internal IT processes, and help keep our technology environment secure, efficient, and scalable. If you thrive on helping others, enjoy solving technical challenges, and want to make a meaningful impact in a dynamic and fast-paced environment, this role offers the opportunity to shape and elevate our daily IT excellence.   📍 Location: Palo Alto    What You Will Do   USER SUPPORT AND ISSUE RESOLUTION - Provide high-quality technical assistance through email, messaging tools, and in-person interactions (onsite in Palo Alto/San Francisco). - Investigate and resolve hardware and software issues across operating systems, applications, and devices while keeping users informed at every step. - Log incidents in our ticketing system, ensure timely follow-ups, and deliver an exceptional support experience. - Deliver physical IT onboarding sessions EQUIPMENT SETUP AND TECHNOLOGY OPERATIONS - Install, configure, and update computers along with IT and videoconferencing equipment. - Manage shipments and returns of devices locally and internationally, maintaining accurate stock and inventory records. - Ensure that every team member has the right tools from day one and that our equipment lifecycle stays efficient and organized. - Support office openings, moves, and expansions (e.g., San Francisco, New York, Singapore). ACCOUNT AND LICENSE MANAGEMENT - Oversee user accounts and application licenses with precision. - Ensure proper access management and the application of our security policies across all workstations, reinforcing a safe and compliant environment for all users. TRAINING AND CONTINUOUS IMPROVEMENT - Train and guide users on applications, hardware, and best practices. - Evaluate business needs, propose improvements to IT processes, and contribute to building a smoother and more scalable internal technology ecosystem.   What We're Looking For   - A degree in Computer Science or a related IT field. - Strong written and verbal communication. - Hands-on experience with Google Workspace administration. - Strong troubleshooting skills on both macOS and Windows environments. - Solid understanding of networking fundamentals including Ethernet and WiFi protocols, TCP/IP, and basic corporate infrastructure troubleshooting. - Familiarity with videoconferencing equipment and associated services. - Ability to lift and handle standard IT equipment such as monitors and network devices. - Proven experience in a similar support role within a fast-paced, global organization - Willingness to travel (NY, Singapore) and work flexibly to support timezone-aligned onboarding.   Bonus Points:  - Experience with MDM solutions such as Kandji or Jamf. - Interest or experience in automation tools such as Zapier or n8n. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Majors Customer Success Manager at Chainguard, you will serve as the strategic business partner for a select portfolio of our most important financial services customers. You will be the post-sales primary point of contact, responsible for driving outcomes, building executive relationships, and ensuring customers realize measurable value from Chainguard. In this role, you will work closely with Solutions Architects, Technical Support, Product Management, and Sales, with the SA owning technical implementation so you can stay focused on business outcomes, relationship depth, and long-term account health. This is a high-touch, consultative role. Your book of business will be intentionally smaller so you can invest deeply in each account, understand each customer's business priorities, and position Chainguard as a strategic partner rather than a vendor. What you'll do: Strategic Account Management: Build and maintain trusted relationships across customer organizations, from practitioner teams to CISOs and executive sponsors. Understand each customer's business objectives, risk priorities, and regulatory environment to align Chainguard's value accordingly. Customer Onboarding and Success Planning: Lead the business-focused elements of onboarding, including success planning, stakeholder alignment, and value delivery milestones. Partner with Solutions Architects who own technical implementation, ensuring business and technical workstreams stay coordinated. Executive Engagement: Lead and facilitate executive business reviews, strategic planning sessions, and escalation conversations. Know when to bring in Chainguard's executive team and how to navigate complex stakeholder dynamics in large financial institutions. Renewal and Expansion: Work closely with your sales counterparts to identify expansion opportunities, mitigate renewal risk, and build multi-year account strategies grounded in demonstrated value. Customer Advocacy: Represent the voice of the customer internally, translating customer needs into product and roadmap feedback. Influence cross-functional teams including Product, Engineering, and Sales on behalf of your accounts. Issue Management: Coordinate with Technical Support and Engineering on escalations, serving as the business-facing lead while the SA manages technical resolution. What we're looking for: 5+ years in enterprise customer-facing roles, with a strong preference for experience in or adjacent to financial services. Customer Success, Strategic Account Management, or Consulting backgrounds are all relevant. Demonstrated ability to operate as a strategic business partner, not just a relationship manager. This means understanding customer business goals, navigating organizational complexity, and connecting Chainguard outcomes to measurable business value. Familiarity with financial services regulatory and compliance drivers (SOC 2, FedRAMP, PCI DSS, operational resilience frameworks) and how they shape security buying decisions. Working knowledge of one or more of the following domains: software supply chain security, vulnerability management, DevSecOps, container security, or application security. You do not need to be a technical implementer, but you need to speak credibly to business and security outcomes in these areas. This is a high-autonomy role. You are expected to take full ownership of your portfolio, make independent decisions about account strategy and escalation, and build new playbooks when existing ones do not fit. Strong executive presence and communication skills, both written and verbal. High emotional intelligence, strong prioritization instincts, and comfort navigating ambiguity. Strongly Preferred: Prior experience managing strategic accounts at a cybersecurity or infrastructure software company Experience supporting or selling into financial services customers such as banks, asset managers, insurers, or fintechs Familiarity with the security and compliance obligations that shape procurement and adoption cycles in regulated industries Previous early-stage startup experience If your experience is close but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. Compensation: Up to $200K base salary + bonus A few of the benefits we offer: Equity/stock options Unlimited PTO Remote work with flexible coworking and team meetup opportunities Home office and internet stipend 100% health/dental/vision insurance coverage for you and your family Paid parental leave to support you and your family Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard’s Privacy Policy. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. - Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM. - Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution. - Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. - Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. - Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. WE’RE LOOKING FOR: - Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. - Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. - Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. - Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. - A design-for-serviceability mindset — you think about the technician in the field, not just the happy path. - Disciplined engineering practice and version control (Git). NICE TO HAVE: - Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. - Familiarity with remote-diagnostics or fleet-telemetry platforms. - Experience authoring service documentation or work instructions consumed by non-engineers. - Exposure to Design-for-Serviceability / DfMA on a hardware product line. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level. This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked. - Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute. - Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably. - Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM. - Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design. - Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations. WE’RE LOOKING FOR: - Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots. - Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint. - Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures. - Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies. - A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount. - Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair. NICE TO HAVE: - Experience with humanoid or legged robotics electrical systems. - Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations. - Experience with calibration-after-repair for sensors and actuators. - Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops. - Experience introducing serviceability into a product moving from prototype to mass production. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute. This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves. WHAT YOU’LL DO: - Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection). - Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating. - Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling. - Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves. - Prioritise cases against SLAs and keep customers informed with clear, transparent updates. - Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature. - Escalate through the single point of entry to Engineering when a case genuinely needs R&D. WE’RE LOOKING FOR: - Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators. - Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware. - Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work. - Clear technical communication with customers and field teams, especially under SLA pressure. - A methodical, case-to-the-end mindset with disciplined documentation. - Willingness to travel occasionally for on-site interventions. NICE TO HAVE: - Experience with Time-of-Flight (ToF) sensors and IMUs. - Python and Git for building small diagnostic utilities. - Prior customer-facing field-service or technical-support experience. - Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework. This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners. WHAT YOU’LL DO: - Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration. - Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans. - Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices. - Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact. - Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation. - Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms. - Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives. WE’RE LOOKING FOR: - 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments. - Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing. - PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus. - Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns. - Experience holding full budget accountability for digitalization programs. - Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders. NICE TO HAVE: - Exposure to humanoid robotics, cobots, or other advanced-technology industries. - Familiarity with service benchmarks in relevant industries. - Experience introducing BI as a shared intelligence layer across a multi-team organisation. - PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions. This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians. WHAT YOU’LL DO: - Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots. - Deliver approved upgrades to existing robots and parts. - Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…). - Act as a flying doctor at customer sites for the most difficult on-site interventions. - Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions. - Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles. - Own refurbishment throughput and quality for the most complex part families, and certify work to specification. WE’RE LOOKING FOR: - Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation. - Proven ability to overhaul and restore complex electromechanical systems and full robots to specification. - Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence. - Ability to author work instructions and mentor other technicians. - Rigorous quality, certification, 5S and health-and-safety discipline. - Willingness to travel for on-site interventions. NICE TO HAVE: - Experience with humanoid, legged, or advanced robotics hardware. - Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics. - Exposure to failure-analysis methods and supplier-quality / warranty processes. - Experience setting up or scaling a repair or refurbishment operation. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Americas Remote Hi, I'm Manu, Engineering Manager at Customer.io . We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide. You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at Customer.io depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving. If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk. What you'll bring: Deep experience with distributed systems and large-scale backend architecture Strong instincts around reliability, observability, and fault tolerance Comfort reasoning about performance, capacity, and trade-offs at scale Experience with event-driven systems, message queues, or data pipelines is a plus A collaborative mindset — you raise the team around you About Customer.io Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line. Engineers with customer focus You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience. A healthy disregard for “the way things are done” You bring rigor and creativity. Best practices matter, but never more than forward motion. What You’ll Do Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data Lead architectural decisions around performance, reliability, and real-time event processing Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship Leverage AI tools to prototype, move faster, and make better decisions What we're looking for Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages) Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast Comfort working in cloud-native environments (AWS, GCP) Familiarity with APIs, observability, and operating production systems A bias for action over perfection, and pride in owning technical decisions Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges. Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io , and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on. Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building. What we value Craft over quick wins — energized by making things robust, not just making them work. A point of view — we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead. Comfortable being wrong — you try things fast, and you course-correct just as fast. AI-native by default — you'd rather direct Claude to write and QA code than write it by hand. What you'll do Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code. Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do. Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hygiene on our GCP stack. Database administration — own how agents read from and write to our databases, safely and at scale. Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful. Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability. Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it. What we're looking for 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company. Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow. Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred. Experience with how agents interact with and edit databases, including some hands-on database administration. Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks. Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one. Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale. A point of view, and the willingness to ask "why did you build it that way?" Compensation & Benefits We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute Zoom call with Recruiter 45-minute Zoom call with Hiring Manager 45-minute Zoom call with a member of the GTM AI team 60-minute Live technical session with the team All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.