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Location: New York Workplace: Hybrid 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 an experienced Engineering Lead to join our Inference API team. In this role, you will lead a new team dedicated to helping evolve our Inference APIs to enable a state of the art inference stack. You will help ship enterprise-level features, align on evolving API formats, and help improve specific modalities (audio, OCR, etc). You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Knowledge of databases, caching mechanisms, and messaging systems. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. 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: Toronto, ON Workplace: OnSite 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. 1Password is opening a new flagship office in Toronto, and we need a senior technical leader to own the workplace technology that powers it. As a member of the IT team, this role is responsible for designing, implementing, and continuously evolving the technology experience across network infrastructure, AV and collaboration systems, physical security technology, and workplace endpoint services. This is an onsite, senior individual contributor role based in Toronto, reporting to the Manager of IT Support. You will serve as the company's primary subject matter expert for workplace networking and AV technologies, establishing the technical standards that will be replicated across future office locations. Beyond building the Toronto office, you will provide ongoing engineering leadership, drive technology improvements, mentor Workplace Technology Specialists supporting regional offices, and act as the senior escalation point for complex infrastructure and workplace technology issues. If you enjoy owning systems end to end, building scalable solutions, and solving challenging technical problems, we'd love to hear from you. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is an onsite opportunity within Toronto, Canada. What we're looking for: - 5+ years designing, deploying, and supporting enterprise network infrastructure, including wired, wireless, routing, switching, and WAN/ISP redundancy using platforms such as Cisco Meraki or Aruba. - Experience designing, deploying, and operating enterprise workplace AV environments, including video conferencing, room scheduling, multi zone audio, digital signage, and room control systems. - Experience administering MDM platforms and managing endpoint lifecycle, provisioning, automation, and deployment workflows. - Experience implementing and supporting physical security technologies, including access control and camera platforms. - Experience delivering new office builds or major workplace technology projects while coordinating with vendors, contractors, and building management. - Experience building automation workflows and operational tooling that reduce manual effort and improve reliability. - Strong communication skills with the ability to partner effectively across technical and nontechnical stakeholders. - Willingness to travel to support office builds, technology standardization, and regional workplace initiatives. Bonus points for: - Experience working in a remote first organization supporting distributed workplace infrastructure. - Familiarity with SOC 2, ISO 27001, and physical security governance requirements. - Experience mentoring technical staff and establishing engineering standards across multiple office locations. What you can expect: INFRASTRUCTURE - Design, deploy, and continuously improve the Toronto office network, including wired, wireless, dedicated IT room infrastructure, and redundant internet connectivity with automated failover. - Serve as the technical owner for workplace networking across the company, developing scalable standards and reference architectures for future office builds. - Own the physical security technology stack, including access control, camera systems, and integrated workplace technologies. - Partner with the Security team on governance, compliance, audit requirements, and building integrations while driving long term platform reliability and lifecycle planning. - Own vendor relationships, technology evaluations, hardware standards, monitoring, capacity planning, and ongoing infrastructure performance across networking, AV, and physical security systems. - Evaluate emerging workplace technologies and recommend improvements that enhance reliability, scalability, and employee experience. WORKPLACE EXPERIENCE - Design, deploy, and continuously optimize AV and collaboration technologies across a variety of meeting spaces, including video conferencing, room scheduling, multi zone audio, digital displays, and proactive monitoring. - Own the technology behind the end to end onboarding experience for Toronto employees, including device provisioning, MDM workflows, automation, deployment standards, and lifecycle management. - Act as the senior technical escalation point for complex networking, AV, workplace infrastructure, and endpoint issues, while providing hands on support when required. - Provide mentorship and technical guidance to Workplace Technology Specialists supporting other regional office locations, helping establish consistent engineering and operational standards across the company. - Build and maintain engineering documentation, runbooks, architecture diagrams, automation workflows, and operational standards. - Provide onsite coverage for workplace technology operations during planned absences and support additional office builds and major technology initiatives as needed. What success looks like: - The Toronto office launches with resilient, well designed networking, AV, and physical security systems that become the blueprint for future 1Password offices. - Workplace infrastructure continues to evolve through proactive engineering, monitoring, automation, and lifecycle improvements rather than reactive support. - Regional Workplace Technology Specialists are enabled through mentorship, documentation, and standardized engineering practices. - Employees have a seamless workplace technology experience, while complex technical issues are resolved through thoughtful engineering solutions. - Routine operational work becomes increasingly automated, allowing more time to focus on strategic infrastructure improvements and future office expansion. Canada-based roles only: The annual base salary for this role is between $93,000 CAD and $130,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership. Build the execution mechanisms a silicon team needs — milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting — and keep them lightweight enough that engineers actually use them. Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises. Own the post-silicon program — bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness. Develop and share AI-assisted approaches to program management — schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis. Minimum qualifications 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end. Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail — including where it slipped and what you did about it. Working technical fluency across the silicon lifecycle — front-end, DV, PD, DFT, foundry, packaging. Experience running external silicon partners — ASIC houses, IP vendors, foundry, or OSAT — including SOW scoping, delivery tracking, and escalation. Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process on a highly dynamic program. Preferred qualifications Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes. Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing. Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them. Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI). Familiarity with the chip-package-system interface and co-design with a hardware systems team. Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, CS, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is a strategic, principal-level technical leadership role responsible for shaping MinIO's Global Systems Integrator (GSI) strategy and expanding MinIO's influence across the AI ecosystem. The role partners directly with the business-facing GSI leader to drive the technical strategy behind MinIO's alliances with Accenture, Capgemini, EY, Deloitte, Kyndryl and other GSIs. The business leader owns commercial strategy while this role owns technical vision, ecosystem influence, and partner technical engagement. The charter is to establish MinIO as the data foundation for Enterprise AI by leveraging strategic ecosystem partners—primarily NVIDIA and Databricks—to create repeatable AI Factory architectures, joint offerings, and technical GTM motions. This is not a customer implementation role; it is a market-facing leadership position responsible for influencing executives, architects, AI practice leaders, engineering organizations, and industry direction. Why This Role Matters Accelerate MinIO's global GSI strategy through technical leadership. Create technical mindshare with GSIs and strategic ecosystem partners. Drive adoption of AI Factory architectures built on MinIO, NVIDIA, Databricks, and complementary technologies. Influence the market through thought leadership, industry speaking, and joint innovation. What You Will Do: Partner with the business-facing GSI leader to define and execute the global GSI strategy. Build trusted relationships with partner CTOs, Chief Architects, Distinguished Engineers, AI Practice Leaders, and executive leadership. Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU infrastructure, networking, Kubernetes, storage, data platforms, AI frameworks, and orchestration. Leverage NVIDIA, Databricks, and the broader AI ecosystem to develop joint offerings, solution blueprints, and GTM motions. Lead Level 2–3 architectural discussions and technical workshops while partnering with Field Architects for customer implementation. Represent MinIO at conferences, executive briefings, analyst meetings, webinars, podcasts, and partner events. Provide strategic feedback to Product and Engineering based on ecosystem trends and partner insights. Executive & Industry Leadership Influence C-level executives and senior technical leaders. Serve as a recognized thought leader in Enterprise AI, AI Factories, and modern data platforms. Publish blogs, white papers, reference architectures, and technical content that shape market direction. Your Skills and Experience: 15+ years in enterprise infrastructure, AI, cloud, or distributed systems. Deep understanding of Enterprise AI architectures and AI Factory design. Strong working knowledge of NVIDIA AI Enterprise, DGX/HGX, CUDA ecosystem, AI Factory architectures, networking, and GPU infrastructure. Experience with Databricks, Spark, Delta Lake, Iceberg, RAG, agentic AI, and modern AI platforms. Experience working with or alongside Global Systems Integrators. Exceptional executive presence, storytelling, whiteboarding, and public speaking. Proven ability to influence strategy without direct authority. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: St. Petersburg, Florida ~This is an evergreen posting intended to build a talent pipeline for anticipated future hiring needs. There is no current vacancy associated with this position. Candidates who apply may be considered for future opportunities as they become available.~ Sales Manager, Practice Solutions At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their individual talents and ideas to strengthen our team, our brand, and our services. We promote a culture that serves to empower and motivate employees beyond the standard corporate rhetoric one might see on motivational posters. Employees understand their individual roles in serving our customers, and this clarity of purpose encourages high job performance. Position Overview: As the Sales Manage r of Practice Solutions, you will play a key leadership role in driving the growth and success of Rectangle Health's Practice Solutions sales organization. You will lead, coach, and develop a team of Account Executives (Practice Management Consultants), empowering them to achieve monthly sales goals while delivering exceptional value to healthcare practices across the country. Through strategic leadership, performance management, and a focus on execution, you will help drive revenue growth, expand customer relationships, and support the continued success of our clients and organization.  You will be responsible for achieving monthly sales strategies and goals through the management of Practice Management Consultants. Primary job duties: Achieve and exceed monthly and annual sales quota, strategic and unit sales objectives, profit goal and market share goals while implementing strategies through management of Practice Management Consultants. Provide direction, leadership, coaching and mentoring for Practice Management Consultants. Advance the professional development, professional conduct, sales effectiveness of staff. Recruit, develop, and train Practice Management Consultants with clearly communicated sales and overall performance standards. Forecast monthly revenue projections Drive standard work, funnel review process in Salesforce. Follow and implement account management through Salesforce. Develop sales plans and strategies to increase market penetration. Participate in annual sales strategy planning. Develop annual sales quotas for sales representatives. Manage and control department expenses at or below budgeted levels. Perform weekly pipeline reviews in person with each report and as directed by Vice President of Sales. Develop and implement actions plans for responsible Practice Management Consultants Maintain strategy, support and pricing consistency Plan and coordinate Sales Meetings Ensure Practice Management Consultants achieve and exceed individual monthly and annual sales quota, strategic and unit sales objectives. Provide individual coaching and professional development to each member of the selling team (target three days per week or 60% of the available time). Complete Sales Management Reports and distribute reports for engagement Develop and facilitate sales plans in conjunction with the Senior Director of Sales. Maintain a working knowledge of products, customer applications, and key customer needs and requirements for the healthcare technology market. Join Sales Calls, on occasion, to help coach Practice Management Consultants and drive revenue. Minimum qualifications: 5 plus years’ experience in a Sales leadership role Sales experience within the Healthcare space Consistent track-record of success and overachievement Experience in a transactional, quick sales-cycle Elite closing abilities The successful candidate will possess a proven track record of delivering results. Additional traits and competencies that define the successful candidate are: A demonstrated track record of executing against sales targets Commitment to building a team that works together to exceed business goals Leadership by example Articulates a clear vision and strategy for his/her team Recruit, develop and maintain top sales talent Embraces change and proactively looks for ways to improve strategy Strong customer orientation / Voice of the Customer Driven Excellent interpersonal and communication skills, both verbal and written Highly Proficient in Microsoft Office suite including Excel, Word, PowerPoint. Ability to analyze situations, solve practical problems and deal with a variety of variables in situations where only limited standardization exists. Must demonstrate time management skills. Strong written and communication skills. Self-motivated. Ability to commute to and work onsite at our St. Petersburg, FL office 4–5 days per week. Preferred Qualifications: Associate’s/Bachelor’s degree. Salesforce utilization as a CRM. Conversation tracking software/AI software Experience in payments, fintech, healthcare, dental/medical practice sales, or other regulated/consultative environments. Background in high-velocity closing roles (insurance, merchant services, door-to-door, payroll-style environments). Compensation & Benefit Profile: $160,000 First-Year OTE (Base Salary + Uncapped Monthly Commission) Target is based on realistic minimum expectations, in addition to First-Year OTE this role is eligible for a significant uncapped monthly commission accelerator for being above target metrics. Competitive Medical Health Plans, HSA & FSA Employer Paid Low Medical Plan for Employee & Dependents Employer Paid Dental & Vision for Employee Employer Paid Life Insurance for Employee Employer Paid Long-term Disability for Employee Employer Paid Hospital Confinement for Employee ~ (If enrolled in Medical) + Voluntary Supplemental Insurance Coverage Options 15 days PTO & 7 Sick Days Annually 10 Fixed Paid Holidays Off Annually 401(k) Matching up to 3% About Us: Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually. View our CCPA disclosure notice here

Location: Remote - EMEA Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE ROLE The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services. In the near and mid-term, our focus areas include: - Making ML workloads easy to run, scale, and operate for every team - Providing self-service, configurable infrastructure components to ML and product teams - Owning and evolving core ML services and related pipelines with a high bar for reliability and performance CHALLENGES YOU WILL TACKLE - Design, build, and operate high-load distributed backend services that power the company's ML infrastructure - Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement - Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities - Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome - Be responsible for what you and your team do REQUIREMENTS - 5+ years of professional experience in backend or platform engineering - Extensive Python knowledge (our primary language) - Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it - Experience designing and building distributed, high-load services and APIs - Strong knowledge of data structures, algorithms, and their trade-offs - Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs - Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes - You are friendly and willing to help your teammates & others NICE TO HAVE: - Experience with Rust (or C/C++/Go) - a strong plus - Experience developing or contributing to ML platforms or ML infrastructure - a strong plus - Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus - Experience with model serving / inference infrastructure, including LLMs - Experience with Infrastructure as Code (Terraform or similar) BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Espoo Workplace: Hybrid Flight Software Engineer • Location: Espoo, Finland • Department: Engineering / Flight Software • Reports to: Engineering Manager, Flight Software • Employment type: Permanent • Workplace model: Hybrid • Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Flight Software Engineer, you’ll help build the embedded software systems powering ICEYE’s SAR satellites. Your work will directly contribute to the reliability, scalability, and performance of flight computers operating in orbit, enabling mission-critical Earth Observation capabilities for customers around the world. Working close to both hardware and software, you’ll help shape the future of spaceborne SAR systems and support ICEYE’s mission to become the global source of truth in Earth Observation. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities • Develop and maintain embedded Linux flight software for ICEYE’s SAR spacecraft • Build efficient, reliable, and maintainable user space applications for flight computers • Troubleshoot complex multi-component systems and implement scalable solutions • Manage software packages, hardware devices, init systems, file systems, IPC, networking, and monitoring in Unix-like systems • Configure and maintain build systems, CI/CD pipelines, and software development workflows • Collaborate closely with hardware, software, and spacecraft subsystem teams across the organization • Contribute to system-level architecture discussions and embedded platform improvements • Rotate ownership across components and support continuous improvements to engineering practices   What we’re looking for Must haves: • Strong C++ and Python programming skills • Proven experience delivering commercially successful embedded Linux software • Experience with Buildroot and Yocto • Strong understanding of Unix-like systems, including software package and hardware device management • Experience configuring and managing build systems and CI/CD pipelines • Strong troubleshooting and debugging skills across embedded and distributed systems • Good written and verbal communication skills in English • Ability to balance deep technical problem solving with pragmatic decision making   Nice to haves: • Expertise in Linux kernel space development • Familiarity with Docker or similar containerisation tools • Experience with message-passing frameworks and distributed asynchronous systems • Experience contributing to open-source projects • Ability to read and review electronic schematics • Proficiency in additional programming languages • Interest in and familiarity with LLM-based engineering tools • Systems thinking mindset and strong stakeholder communication skills   Application Process: - TA Screening - Hiring Manager Screening - Task (take home) - Technical Interview - Director Interview Working at ICEYE: At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Global Employee Benefits Include: - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Occupational healthcare, occupational, and accident insurance - A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.) - Phone subscription with iPhone of choice - Relocation support (i.e. flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborating offices and silent workspaces enable you to focus Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Poland Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation. The Lead AI Engineer will provide technical leadership across two GenAI teams working on conversational agents and platform capabilities. Technologies Python, FastAPI, SQLAlchemy, Pydantic TypeScript, NestJS REST APIs, SSE, WebSockets Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling Agentic and graph-based workflows, multi-agent orchestration SQL, relational databases, PostgreSQL, data modeling Microservices, API routing, caching pytest, Jest, LLM evaluation tests What You'll Do Lead and mentor two GenAI teams developing conversational agents, manage team roadmaps, foster team collaboration, and oversee project delivery; Develop and implement innovative AI-driven solutions to advance platform capabilities; Collaborate with stakeholders, including developers, product managers, and business operations teams, to align goals and deliverables; Lead the development of conversational agents from concept through production deployment; Research advanced AI technologies and integrate external APIs and services into AI-driven solutions; Job Requirements Bachelor’s degree in Computer Science or a related field; 3+ years of experience leading engineering teams; 6+ years of experience building customer-facing full-stack applications; 2+ years of hands-on experience with Python, including FastAPI, asynchronous programming, SQLAlchemy ORM, and Pydantic; Experience with TypeScript and NestJS; Experience designing and implementing AI agents using LangGraph and/or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing; Strong understanding of LLM concepts and AI engineering practices, including RAG, prompt engineering, LLM parameters, guardrails, observability, and tracing; Understanding of machine learning concepts, including models, model validation, and feature engineering; Experience designing REST APIs and implementing streaming responses using SSE and/or WebSockets; Experience working with SQL and NoSQL databases, including relational databases such as PostgreSQL; Experience with automated testing using pytest, Jest, and/or evaluation tests for AI systems; Familiarity with distributed system design, microservices, caching, API routing, and multi-agent orchestration; Proactive and collaborative mindset, with a passion for making an impact on engineering teams, products, and customers; Good written and spoken English at B2 level or higher; Willingness to participate in pager duty rotations as needed; Nice To Have Experience with vector databases; Familiarity with columnar data warehouses such as Vertica or similar platforms; Experience with AWS and boto3; Experience with MCP, A2A, or text-to-SQL solutions; Familiarity with feature-flagging platforms such as Unleash or LaunchDarkly; Experience using AI-assisted development tools such as Claude Code; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Remote, Japan 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 As a strategic Territory Sales Manager  for Japan, you will own and grow your Digital Native and Retail territory with GitLab’s enterprise relationships in the Japan market. You’ll help Enterprise organizations realize the full value of GitLab’s AI-powered DevSecOps platform by leading the entire sales cycle, from prospecting and qualification through rollout and long-term adoption. Reporting to an Area Sales Manager or Regional Director, you’ll use a consultative approach to understand complex customer needs, guide them through evaluation, and coordinate pre- and post-sales resources to ensure successful deployments and visible business outcomes. You’ll work under minimal supervision on complex deals, act as the voice of the customer into GitLab, and partner closely with our strategic channel partners to generate qualified opportunities and develop new customers. In your first year, you’ll be expected to establish and execute clear account plans for enterprise prospects and customers in the Japan market, build strong internal and external stakeholder relationships, and consistently manage your forecast and pipeline with transparency and discipline. What you’ll do Support GitLab’s strategic prospects and customers in your territory in Japan  Market, with a focus in the Digital Natives and Retail industry, owning the full sales cycle for enterprise accounts Lead account strategy by developing and executing account plans aligned to each customer’s business needs and long-term goals Conduct prospecting and opportunity development activities in named large and strategic accounts, including working closely with strategic channel partners to generate qualified leads and new customers Coordinate pre- and post-sales engagement with solutions architects, customer success, and support teams to ensure successful rollout, adoption, and expansion of GitLab products Provide clear account leadership, including regular activity, pipeline, and forecast reporting to sales management Analyze wins and losses, contribute to root cause analysis, and share lessons learned with account managers, marketing, and technical teams to improve future outcomes Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal channels Use a consultative sales approach to uncover business issues, shape solution recommendations, and deliver compelling proposals, quotes, and presentations that address customer requirements What you’ll bring Experience managing complex sales cycles with large, strategic enterprise customers, selling into the Digital Natives and retail segment Proven ability to prospect, qualify, and develop new opportunities while also growing existing accounts through strong account management Skill in leading pre- and post-sales activities, coordinating with technical, support, and channel partners to drive adoption and expansion Proficiency in consultative selling, including uncovering business needs, building account plans, and delivering proposals and presentations that align GitLab solutions to customer outcomes Ability to prepare and maintain accurate activity, pipeline, and forecast reports, and to contribute to win/loss and root cause analysis Effective communication and collaboration skills to share customer feedback and lessons learned with sales management, product, marketing, and technical teams Familiarity with software development concepts and tools, with preferred exposure to Git, software development tools, or application lifecycle management Alignment with GitLab’s values, openness to learning, and interest in applying transferable skills even if your background does not match every requirement exactly About the team The Territory Sales Manager will join our enterprise sales team, which focuses on driving GitLab adoption with large customers in the Japan market. The team is responsible for the full relationship lifecycle with enterprise accounts, from initial engagement through long-term expansion and advocacy, ensuring customers realize value from GitLab’s DevSecOps platform. Team members work in an all-remote, distributed environment and collaborate asynchronously across time zones with sales leadership, solutions architects, customer success, marketing, and channel partners. The team is currently focused on maintaining and growing our existing footprint in the region, executing a consistent global sales motion while adapting to local customer needs and partnering closely with strategic channel organizations to reach and support key accounts. Additional details about our process can be found on our hiring page . Remote-Global 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: Remote, Canada; Remote, United States 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 As a Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what "proven" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one. Some examples of the problems this team takes on: Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions. Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to. What you'll do Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code. Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result. Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service. Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same. Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output. Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization. Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales. Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales. What you'll bring Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery. Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion. Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load. Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others. A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps. Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions, and a track record of raising the quality bar for a team's output, not just your own. A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off. About the team Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. Solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering. It's a good fit for engineers who want technical ownership of something with no existing playbook, and a hand in defining a brand-new part of GitLab from its first commit. Remote-Global 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 $152,800 — $259,200 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: Remote, Canada; Remote, United States 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 As a Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation — diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good. Some examples of the problems this team takes on: Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions. Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to. What you'll do Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals. Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions. Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely "seems to work." Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area. Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers. Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales. What you'll bring Hands-on experience building agentic or large language model-based systems — multi-step orchestration, tool use, guardrails, and recovery patterns — and making them reliable in production, not treated as one-off prompts or demonstrations. A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion. Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load. Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages. Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments. About the team Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup — no dedicated product manager, no pre-set backlog — and solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering. It's a good fit for engineers who'd rather go find the next problem than be handed one, and who want a hand in defining a brand-new part of GitLab from its first commit. Remote-Global 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 $139,200 — $235,200 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: Riyadh, Saudi Arabia Muller's Solutions is seeking an experienced Service Delivery Manager to lead and oversee managed IT services across Service Desk, Field Support, and Inventory Management functions. The ideal candidate will ensure high-quality service delivery, drive operational excellence, manage distributed teams, and maintain strong stakeholder relationships while meeting agreed SLAs and KPIs. Key Responsibilities Drive SLA and KPI achievement and provide regular service performance reports to senior stakeholders. Lead and govern Service Desk, Field Support, and Inventory Management teams. Coordinate managed service delivery across multi-vendor and cross-functional teams. Manage team scheduling and workforce planning for shift-based operations. Develop and execute individual development plans for team members. Ensure effective incident, problem, and escalation management through structured governance. Identify opportunities to improve service delivery processes and operational efficiency. Build and maintain strong relationships with internal and external stakeholders. Communicate effectively with technical teams, business users, and senior management. Lead operational problem-solving initiatives and drive continuous service improvement. Requirements Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field. ITIL V4 Foundation Certification (Mandatory). Proven experience managing 30+ member managed service teams across multiple locations. Experience managing shift-based IT support operations . Strong knowledge of IT Service Management (ITSM) processes and best practices. Hands-on experience with ServiceNow or similar ITSM platforms. Expertise supporting endpoint technologies, including: Laptops and desktops Mobile devices Meeting room and collaboration systems Experience coordinating services across multi-vendor environments. Strong leadership, people management, and coaching skills. Excellent stakeholder management and communication skills. Strong analytical, problem-solving, and decision-making abilities. Ability to drive operational excellence and continuous improvement initiatives.

Location: Argentina; Brazil; Mexico; Uruguay; Chile; Colombia Location: Fully Remote (Worldwide) – Focus on LATAM time zones (Americas) Employment Type: Full-time, B2B / Independent Contractor (or W2 for US-based candidates) About the Position & Company Our client is a global leader in Linux infrastructure and security solutions, known for pioneering automated live patching technologies that enable enterprises to apply critical kernel updates without reboots or downtime. They also provide extended support for end-of-life Linux distributions, helping organizations maintain compliance and enterprise-grade security. With a fully remote team of 250+ professionals worldwide and a client base of over 4,500 enterprise customers—including major tech industry leaders—they deliver robust infrastructure solutions across the US, Europe, Latin America, and beyond. Key Responsibilities Research & Analysis: Investigate upstream security (CVE) and bug fixes; analyze patch dependencies and impact on legacy kernels. Backporting: Manually backport Linux kernel patches to older kernel versions used in RPM-based and Debian-based distributions. Conflict Resolution: Resolve merge conflicts between upstream changes and target kernel codebases. Kernel Packaging: Build and rebuild kernel source and binary packages using reproducible build environments for RPM and Debian ecosystems. Validation & Testing: Validate patched kernels through build tests, runtime tests, and regression analysis to ensure stability. Tooling & Automation: Enhance internal workflows (patch preparation, build automation, validation pipelines) using Python, Go, and Shell scripting. AI Integration: Leverage agentic/AI-assisted development tools to accelerate tasks, while rigorously verifying every generated output. Documentation & Collaboration: Document technical decisions, participate in code reviews, and communicate clearly with team members across time zones. Requirements Must-Have Strong C proficiency and hands-on Linux debugging skills. Proven commercial experience in Linux kernel development—specifically patching, backporting, or debugging. Solid experience with Git , GNU build tools (make, autotools), and standard Linux developer utilities. Experience building Linux kernels or distribution packages from source. Scripting and automation skills: Python, Go, or Shell . Practical exposure to AI-assisted development tools (e.g., Copilot, Codeium, or similar), with a disciplined approach to code verification. English: Intermediate or higher (B1+), both written and spoken—you’ll be working in an international team and communicating in English daily. Strong ownership mindset, balanced technical judgment, and ability to articulate trade-offs. Nice-to-Have Experience with RPM/SRPM or Debian kernel packaging . Familiarity with security patching , CVE analysis, and extended lifecycle maintenance. Working knowledge of Docker, QEMU, Jenkins , or other CI systems. Experience designing kernel validation tests, analyzing core dumps, and investigating regressions. Candidate Profile (Cultural Fit) Hands-on practitioner: You love working directly with kernel code, not just theorizing. Methodical and detail-oriented: Kernel patching requires precision, reproducibility, and thorough validation. Ownership-driven: You take responsibility for outcomes, document your work, and proactively communicate risks. AI-curious but cautious: You embrace AI tools to accelerate development but never skip verification. Remote-first compatible: You thrive in async environments with minimal supervision and clear communication. Benefits 100% remote work with flexible hours — work from anywhere in the world (focus on LATAM-friendly time zones). 24 paid vacation days + 10 national holidays + unlimited sick leave. Private medical insurance compensation. Coworking space and sports/fitness reimbursement. Professional development budget — conferences, courses, certifications. Reward program for patentable ideas. A collaborative, non-corporate environment with a strong engineering culture.

Location: United Kingdom - London Office; Ireland - Dublin Office Workplace: Hybrid At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is hiring a Majors Account Executive to grow and expand our footprint across larger EMEA customers. This role is built for a seller who can take strong product adoption, identify real whitespace, and turn it into broader, multi-team commercial growth.   This is an especially important hire now because ClickUp’s international business already matters materially, and larger customers increasingly want to consolidate scattered tools, improve execution clarity, and understand how AI can create leverage across teams. We need someone who can run strong discovery, build a credible business case, and guide more complex stakeholder groups from interest to expansion.   Mission - Own and grow expansion revenue across major EMEA accounts by identifying whitespace, building business cases, and positioning ClickUp as the platform that helps larger teams work with more clarity, speed, and operational leverage.   Key outcomes and responsibilities - Own expansion opportunities across major accounts in your region, with a core focus on larger organisations in the roughly 1,000–2,500 employee range. - Consistently exceed pipeline and sales targets by converting account signals, free trials, marketing-qualified leads, demo requests, and product adoption into qualified commercial opportunities. - Run structured discovery that uncovers workflow pain, stakeholder priorities, buying friction, and the business case for broader ClickUp adoption. - Deliver compelling presentations and demos that connect ClickUp’s platform value to customer priorities, cross-functional workflows, and executive-level outcomes. - Build and manage multithreaded deal plans across end users, managers, executives, procurement, and other decision-makers. - Partner closely with Growth, Marketing, and adjacent GTM teams to improve lead quality, regional account coverage, and conversion. - Maintain strong process discipline across forecasting, pipeline inspection, next steps, CRM hygiene, and follow-through. - Identify recurring patterns across segments, objections, and account behavior to help sharpen the majors expansion motion in EMEA. - Support more formal buying motions when needed, including RFIs / RFQs and procurement-heavy evaluations.   Required qualifications - Demonstrated success in B2B SaaS sales with clear ownership of full-cycle deals, account growth, or expansion motions. - Track record of exceeding quota and managing a disciplined pipeline in commercial, strategic, or larger-account environments. - Strong written, verbal, and presentation skills, including comfort communicating with both practitioners and executive stakeholders. - Clear consultative selling instincts, with the ability to connect customer pain to value, urgency, and practical next steps. - Strong process rigor and attention to detail across forecasting, deal planning, and follow-through. - Experience completing or leading RFIs / RFQs, or operating in deals with more structured evaluation processes. - Ability to work in our Dublin / London office 2-3 days per week.   Preferred qualifications - Experience selling workflow, collaboration, productivity, CRM, CX, or adjacent horizontal SaaS platforms. - Experience in an expansion-heavy, cross-sell, or land-and-expand motion rather than a purely transactional new-logo model. - Experience navigating multi-stakeholder buying groups in larger customer environments. - Familiarity with EMEA selling dynamics, regional complexity, or distributed territory ownership. - Comfort selling a broader platform and AI productivity story instead of relying on feature-by-feature comparisons. #LI-SO1 #LI-Hybrid     Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves frontier AI models on some of the largest accelerator fleets in the world, and we're now building the custom hardware systems that fleet will run on — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're looking for a Technical Program Manager to own execution of these hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship — managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other. This is a role on a new hardware team. You'll build the program cadence, review structure, and NPI process this team runs on. We need someone who has shipped hardware at scale, has a realistic view of ODM/CM schedules and where they break, and is comfortable owning consequential program calls without a large organization behind them. Key responsibilities Own the integrated hardware systems program plan across board, chassis, rack, and interconnect — from requirements through EVT/DVT/PVT, qualification, and production ramp — and be the source of truth on schedule, risk, and readiness. Drive execution with ODMs, contract manufacturers, and component/optics vendors: SOWs, build schedules, deliverable tracking, factory readiness, and escalation when they slip. Stand up and run the NPI cadence — build matrix, engineering reviews, DFx, issue triage, exit criteria — and keep it lightweight enough that a small, senior team actually uses it. Drive the bring-up and validation program for new platforms: lab and pilot-rack logistics, firmware/BMC/diagnostics coordination, test coverage, and the reliability and telemetry targets a platform has to hit before it enters the fleet. Own the interfaces that make or break a hardware program: silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead components, second-sourcing, allocation). Run partner and technology evaluations as a program — candidate ODMs, reference platforms, connector/optics/memory options — and land build / buy / co-design recommendations with the architecture team. Own program communication upward and outward — for an audience that ranges from architects to executives. Develop and share AI-assisted approaches to hardware program management — issue-tracker synthesis, build-readiness checking, spec/BOM consistency, ODM-report digestion. Minimum qualifications 8+ years in hardware systems / NPI program management for compute, networking, storage, or accelerator platforms. Direct ownership of at least one platform from concept through volume production — you can walk through its EVT/DVT/PVT arc, what broke, and how you recovered. Working technical fluency across the hardware stack — power delivery, thermal, mechanical, high-speed interconnect, board design, system management — sufficient to interrogate status and push back credibly on architects and vendors. Experience managing ODMs/CMs and component vendors, including SOW negotiation, build tracking, quality escapes, and escalation. Track record of standing up program mechanisms on a new or early-stage hardware effort, not just operating inside a mature PLC. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Preferred qualifications Experience with AI/ML accelerator systems (GPU, TPU, custom ASIC), HPC, or hyperscale datacenter platforms and their scale-up / scale-out fabrics. Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment. Experience with liquid-cooled and/or high-density rack architectures, rack level high power distribution, or optical interconnect programs. Familiarity with the chip-package-system interface and coordinating tightly with a silicon team. Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, ME, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United Kingdom 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 This is a shift role. Working 8-hour shifts with 4 weekdays and 1 weekend day. Support Engineering at GitLab isn’t just a title - you will be embedded within the Engineering department and will truly operate in an environment where Support and Engineering meet. You’ll interact with customers daily as they encounter the difficult edge cases of running GitLab in complex environments. In the space of a day, you might be doing behind the scenes work of a Linux administrator troubleshooting performance problems by using strace on a particular process, interacting with the Product team to ensure that steps in a bug report are reproducible, or interacting with the Engineering team itself by diving deep into our codebase and putting together a merge request to actually fix a customer issue. That’s not all though - you’d equally be invited to contribute to the source code, improve our documentation, and help build out more efficient support processes in our issue tracker. We want to live in a world where everyone can contribute, and as a member of the support team, there are no barriers to using your skills to improve the experience of our users and customers. Some examples of our projects: A tool to automatically check a GitLab Omnibus install for known issues A solution to capture the state of a customer’s server for easier troubleshooting A tool which turns log files into interactive tables to easily sort and filter columns A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Support a mix of Self-managed and GitLab.com (SaaS) customers and resolve their issues via Zendesk tickets, merge requests, email and video conferencing Collaborate with our Product , Development , Infrastructure , Customer Success and Sales Teams to build new features and fix bugs, define and shape the product goals, roadmap, priorities, and strategy Create and update documentation based on customer interactions Collaborate with Support team members (through Pairing Sessions ) and other GitLab team members (for example: as a Support Stable Counterpart ) Participate in regular rotations for weekday and weekend on-call coverage (daytime only), providing emergency support to our Self-managed and SaaS customers, or working with our SaaS Production team to coordinate incident communications Participate in our hiring processes by reviewing applications and assessments, and by participating in interviews. What you’ll bring Experience in, and passion for managing customer facing cases throughout the entire support lifecycle from initial customer inquiry to triage and reproduction, writing bug reports for hand off to the development team, and case resolution Excellent Linux systems administration knowledge (LFCE or RHCE equivalent knowledge) Ability to use scripting languages (preferably Ruby or Bash), and MVC frameworks (preferably Ruby on Rails) Experience with Git and CI/CD Expertise in writing support content Ability to communicate complex technical topics to customers and coworkers of varying technical skill level Familiarity with DevOps methodologies and technologies like Serverless and Kubernetes Understand a range of different GitLab implementations, and how service interruptions impact the customer. About the team The Support team is distributed all over the world across AMER, EMEA, and APAC regions. Support Engineers work on Support Tickets and helping GitLab’s customers, but they also dig into the code and logs to find out why something is not working as expected. The Collaboration here at GitLab is extraordinary and exciting - Support Engineers solve complex problems together and participate in regular pairing sessions and 1:1s, as well as coffee chats and Slack conversations that help them stay connected. Team members are given the ability to structure their shift the way it best suits their private life while maintaining our ability to address customer issues. Thanks to our Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and listen to some of our meetings. How GitLab will support you Benefits to support your health, finances, and well-being All remote , asynchronous work environment Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and development budget Parental leave Home office support 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. 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: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team We build the products and infrastructure that millions of Canadians trust with their financial lives. Data & Engineering at Wealthsimple spans everything from the client-facing apps to the systems running underneath them — and we hold ourselves to a high bar on both. We move fast, but we build thoughtfully: quality, security, and scalability aren’t trade-offs here, they’re the standard. The Production Engineering team sits within Platform Experience, on the boundary between Platform and Product. Our mandate is to raise reliability across Wealthsimple’s most critical flows — reducing incidents, helping service teams ship safely, and turning individual fixes into platform-wide improvements. We measure ourselves against two targets: 99.9% uptime on critical flows, and fewer than 1% of weekly active users experiencing errors in the app. If you want to work on hard problems with people who care deeply about craft, you’ll fit right in.   About the role This is a new role — one that doesn’t yet exist at Wealthsimple — and it’s a meaningful one. As a Staff Software Developer on Production Engineering, you’ll bring senior technical leadership to the work of making Wealthsimple more reliable at scale. You’ll work across platform and product teams, identify the highest-leverage reliability problems, and build solutions that don’t just fix the immediate issue but raise the floor for everyone. This isn’t a role where you sit in one corner of the codebase. It’s a role where you shape how engineering gets done across the company.   What you’ll do - Improve the platform to prevent incidents — designing and driving adoption of guardrails, sensible defaults, and engineering standards that reduce the likelihood of failures across services - Build tooling that reduces time to mitigation when incidents occur, including contributing to our in-house product on AI-assisted incident response - Own the investigation and follow-through on load test findings — translating results into concrete reliability improvements across critical flows - Work across platform and product engineering teams as a technical influencer — participating in architecture and readiness reviews, coaching service owners, and driving adoption of scalable reliability practices - Identify recurring failure patterns and design platform-level fixes that prevent them from showing up again in a different service - Contribute to the team’s reliability syncs with product engineering, helping align on incident themes, critical-flow risks, and the next highest-leverage initiatives   Skills you bring - 8+ years of software engineering experience, with significant time in platform, infrastructure, or SRE work - Demonstrated track record of improving reliability at scale — reducing incidents, building guardrails, or driving operational standards across multiple teams - Strong proficiency in backend systems and distributed architecture; you can diagnose complex failure modes across a service mesh - Experience with load testing and capacity planning, and the ability to translate findings into concrete engineering improvements - Proven ability to work across engineering teams as a technical influencer — driving adoption of standards and practices without direct authority - Familiarity with Kubernetes, Helm, Argo and modern deployment tooling - Strong written and verbal communication — comfortable presenting findings and recommendations to both engineering teams and senior leadership   Who you are - You think in systems — you’re not looking for the fix, you’re looking for what caused the problem and how to make sure it doesn’t happen elsewhere - You’re comfortable working without direct authority; you build credibility through the quality of your thinking and the clarity of your recommendations - You hold a high bar for operational excellence without making it someone else’s problem to catch up to — you bring people along - You’re energised by ambiguity, not slowed down by it; you know how to prioritise when everything feels urgent - You’re curious about where AI-assisted tooling is headed in reliability engineering, and you want to help shape how we use it — not just observe it from a distance WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why join us Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.