• Act as the primary point of contact and trusted advisor for customers and their technical needs, challenges, and goals. • Lead, mentor, and develop a team of engineers, fostering a culture of continuous learning, growth, and support of customer engagements • Understand and articulate the technical competency and impact of engineers on the team • Understand Defense Unicorns' products and philosophy • Assist the team in discovery and framing efforts across the industry • Identify and implement process improvements to increase team efficiency and effectiveness • Assist with demonstration and content creation on products • Manage the "proof of concept" work • Build and maintain continuous delivery (CI/CD) pipelines • Build, deploy, test, and troubleshoot UDS Bundles, Zarf packages, and UDS packages. • Collaborate with cross-functional teams for brainstorming, research, and innovative growth strategies • Conduct market research and competitor analysis to identify growth opportunities. • Stay up-to-date with industry trends, best practices, and emerging technologies related to growth hacking and user acquisition • Experiment with new tools, techniques, and technologies to improve growth outcomes

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 roleAs a Solutions Architect, you’ll be a trusted advisor to GitLab prospects and customers in our West region, helping them understand how GitLab’s DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You’ll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. Reporting to a regional Solutions Architect manager and partnering closely with Account Executives and cross-functional teams, you’ll own technical evaluations (including proof of value initiatives and workshops), shape solution architectures, and serve as the voice of the customer back to Product Management. In your first year, you’ll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab’s differentiated position in an AI-driven DevSecOps landscape. What you’ll do - Lead technical discovery, demos, and validation (including proofs of value) to show how GitLab’s AI-powered DevSecOps platform meets customers’ technical and business needs across the full lifecycle. - Drive the technical evaluation process as the Directly Responsible Individual, including solution design, POC/POV ownership, workshop design, and the technical components of tenders, audits, and value stream assessments. - Collaborate with Account Executives and regional sales teams in North America to shape and execute account strategies that support new customer acquisition and expansion. - Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven digital transformation and enabling them to become GitLab advocates. - Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. - Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning. - Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners. - Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team. What you’ll bring - Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation. - Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows. - Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, and the ability to map platform capabilities to customer use cases. - Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. - Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. - Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers. - Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing. - Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. About the teamWe, the Solutions Architect team, are part of GitLab’s Sales organization and serve as the technical counterpart to Account Executives, with this role focused on opportunities in North America and reporting into a regional Solutions Architect Manager. Our mission is to help customers realize the full value of GitLab’s AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through their digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. We are focused on helping customers modernize end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. 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 $113,400—$191,700 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.

Role Description We're looking for an ML Solutions Architect (Early Career) to join the team behind Nebius Token Factory's serverless inference and fine-tuning platform for open-source LLMs. Working alongside senior Solutions Architects, you'll take on real technical work – building and testing LLM-based solutions, benchmarking, and inference optimization – and learn how scalable AI applications are built and tuned on our platform, in close collaboration with our backend team. This is a hands-on learning role with close mentorship from senior SAs. Strong performers will be considered for a full-time Solutions Architect position at the end of the program. This is a paid temporary contract, open to students and recent graduates. You're welcome to work remotely from any timezone. Your responsibilities: - Help build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio). - Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. - Run performance and quality experiments to support proof-of-concept work. - Contribute to internal tooling and automation that improves how the SA team delivers. Qualifications - Currently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field. - Strong Python programming skills. - Hands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers). - Strong communication skills, with a willingness to explain technical concepts to diverse audiences. Requirements - Experience deploying/serving LLMs with vLLM, SGLang, or TensorRT-LLM. - Familiarity with inference optimization techniques such as quantization, batching, caching, and routing. - Knowledge of model architectures and fine-tuning approaches. - Contributions to open-source ML/AI projects. Benefits - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet. - Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. - Competitive compensation and benefits packages. - Career growth and learning opportunities. - Flexibility and ownership. - Collaborative and innovative culture. - Opportunity to work on impactful AI projects. - International environment and talented teams.

Role Description Nscale is seeking a Network Architect Engineer to lead the evolution, reliability, and operational excellence of our global AI networking infrastructure. This role sits at the core of Nscale’s platform, where network performance directly impacts AI training outcomes. You will act as a technical authority across large-scale RDMA / Infiniband / RoCE fabrics, driving automation, availability improvements, and system-level design across a globally distributed GPU cloud. You will combine deep network protocol-level networking expertise with strong software and automation skills to operate and scale one of the most demanding AI networking environments in the industry. What You’ll Do - Technical Leadership & Strategy - Own the technical direction and operational lifecycle management of Nscale’s high-performance RDMA network fabrics. - Define long-term architecture, reliability strategy, and operational standards for AI interconnect networks. - Lead availability and performance improvement initiatives across globally distributed GPU clusters. - Act as a technical authority (SME) across networking, influencing platform-wide decisions. - Network Engineering & Operations - Support design, build, and evolve large-scale Infiniband and RoCE fabrics. - Drive deep debugging and resolution of complex cross-layer issues (hardware, firmware, kernel, distributed workloads). - Lead incident response and postmortems, ensuring systemic fixes and long-term improvements. - Define and enforce standards across: - Congestion control and traffic engineering. - Routing (BGP, ECMP, fabric-level routing strategies). - Firmware lifecycle and change management. - Network observability and telemetry. - Automation & Systems Development - Develop and scale automation frameworks for network provisioning, validation, and operations. - Build tooling to support high-reliability, low-touch network operations at scale. - Improve operational efficiency across hundreds of thousands of endpoints and high-throughput links. - Cross-Functional Leadership - Lead complex technical initiatives across Network, SRE, Compute, and Platform teams. - Serve as technical lead on critical programs, coordinating engineers and stakeholders. - Influence product and infrastructure roadmaps based on operational insights and customer needs. - Mentor senior engineers and raise the bar for technical rigor and execution. Qualifications - 10+ years of experience in network engineering in hyperscale, AI, or HPC environments. - Deep expertise in RDMA, Infiniband, and/or large-scale RoCE fabrics. - Strong understanding of: - RDMA internals and performance tuning. - Congestion control and fabric failure modes. - Distributed system communication patterns. Requirements - Expert-level knowledge of data center networking protocols (BGP, OSPF, ECMP). - Proven ability to debug multi-layer issues across network, system, and application layers. - Strong programming/scripting skills for automation (Python, Go, etc.). - Experience designing high-scale, highly available network systems. Leadership & Impact - Demonstrated ability to lead complex technical programs without direct authority. - Experience acting as a senior escalation point for critical production issues. - Strong ability to drive cross-team alignment and execution. - Systems-level thinking balancing performance, reliability, scalability, and cost. Nice to Have - Experience with NVIDIA / Mellanox networking platforms. - Familiarity with distributed AI training frameworks and GPU communication patterns. - Experience building network observability systems at scale. - Background influencing infrastructure strategy in high-growth environments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.