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Location: United States Workplace: Remote WHO WE ARE GreenLight.ai http://GreenLight.ai provides global, enterprise-grade workforce infrastructure for enterprise contingent workforce programs and talent platforms. We combine Employer of Record (EOR), Agent of Record (AOR), freelancer management (FMS), and intelligent worker classification with technology that connects directly to our clients’ workforce systems. Trusted by some of the world’s most highly recognized and innovative companies, we help clients engage and manage their extended workforce across the US and internationally. Compliance is central to our service, our technology, and the trust our clients place in us. THE OPPORTUNITY You will lead GreenLight’s legal and compliance function and serve as a hands-on member of our leadership team. Your mandate is to protect the business, support growth, and turn complex workforce regulations into practical decisions, scalable processes, and product capabilities. You will work directly with the CEO and partner with product, engineering, HR, payroll, operations, and commercial teams. You will own legal standards and compliance oversight, support functional leaders in implementing them, and manage our US and international outside counsel. This role combines deep workforce expertise with commercial judgment and the ability to build systems that scale. WHAT YOU WILL DO - Lead workforce compliance. Own our compliance framework for EOR, AOR, and independent contractor engagements, including worker classification, wage and hour, exempt status, and co-employment risk. Establish clear policies, controls, escalation routes, and audit processes. - Strengthen classification. Oversee classification assessments, quality review, reassessment triggers, and decision records. Train relevant teams and develop practical guidance for clients and workers. - Shape the product. Translate regulatory requirements into classification rules, onboarding controls, workflows, and audit trails. Partner with product and engineering on AI-enabled compliance features, including validation, explainability, and human review. - Manage commercial legal work. Draft and negotiate client, vendor, worker, and international partner agreements. Develop templates and negotiation guidance that support efficient contracting and appropriate allocation of risk, liability, and indemnities. - Coordinate global compliance. Work with local counsel and partners to assess country requirements, licensing, and engagement restrictions. Strengthen partner diligence and oversight as our international business grows. - Manage outside counsel. Select and coordinate US and international specialists, set priorities and service expectations, manage legal spend, and turn their advice into clear business decisions and operational actions. - Handle material legal escalations. Advise HR and delivery teams on significant employee relations matters, disputes, claims, and investigations. Coordinate responses with outside counsel and relevant insurers. - Build broader compliance controls. Partner with operations and technology on worker identity, fraud prevention, workforce data privacy, and responsible AI use, drawing on specialist advice where needed. - Make legal knowledge actionable. Monitor regulatory developments and ensure relevant changes reach our policies, platform, and operating processes. Use AI and legal technology to improve research, contracting, and knowledge management, with verification and confidentiality controls. - Represent GreenLight credibly. Support enterprise diligence, client presentations, and selected webinars and industry events. Review external claims and help develop useful, accurate compliance content. WHAT YOU BRING - Relevant legal experience. Typically 8 or more years in employment law, workforce compliance, and related commercial matters, with substantial responsibility for practical business advice. We will consider exceptional candidates with less experience. - Legal qualifications. A JD or equivalent law degree and active membership in good standing with a US state bar. - Workforce expertise. Deep knowledge of US employment law and worker classification, including complex multi-state workforces, and experience coordinating international legal advice. - Commercial and operational judgment. Evidence of negotiating business agreements, implementing compliance processes, and making clear, proportionate recommendations under time pressure. - Technology fluency. Ability to translate legal requirements into product and workflow changes, plus practical experience using AI or legal technology and evaluating its outputs. - Leadership and communication. Ability to manage outside counsel, influence colleagues, and explain complex issues clearly to enterprise clients and hiring managers. Willingness to develop a credible public voice in workforce compliance. - Builder mentality. Identify gaps, recommend solutions, and play an active part in implementing improvements. Experience in staffing, EOR/AOR services, contingent workforce programs, talent marketplaces, or workforce technology is particularly valuable. In-house experience and experience building a legal or compliance function are strong advantages. WHAT SUCCESS LOOKS LIKE In your first year, you will establish a prioritized compliance roadmap, strengthen classification and international partner controls, improve enterprise contracting, and make regulatory updates actionable across our platform and operations. Teams will understand their responsibilities and know when and how to escalate material risks. WHY JOIN GREENLIGHT You will have direct access to the CEO, a meaningful voice in product and business decisions, and the opportunity to shape how leading organizations manage their extended workforce. We offer flexible working arrangements, benefits, and a home office stipend. HOW WE WILL ASSESS CANDIDATES We will focus on demonstrated judgment and results: how you have resolved difficult workforce issues, improved processes, managed counsel, and helped a business move forward responsibly. Our process will include discussion of your experience and a short practical case exercise.

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 Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle. What you'll do Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration. Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value. Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step. Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk. Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning. Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage. Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment. Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers. What you'll bring Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption. Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery. Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery. An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale. Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows. Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions. Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail. About the team Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product. We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers. As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making. 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 $168,000 — $285,600 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, 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 Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't. What you'll do Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering What you'll bring 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code Expert SQL and strong Snowflake experience; working knowledge of Python Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with LLM routing or gateway tools and managing model costs Experience with Tableau, Omni, or a BI platform migration Experience with web app development (e.g., React, TypeScript) and Postgres Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable About the Team Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions. AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable. 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 — $285,600 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, 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 Director, Financial Planning and Analysis (FP&A), you'll lead finance for GitLab's Research & Development (R&D) organization, our largest operating expense area. You'll be the strategic finance partner to our Chief Technology Officer (CTO) and their leadership team, owning R&D planning, forecasting, and investment decisions. R&D builds our AI-powered development, security, and operations (DevSecOps) platform, which more than 100,000 organizations use. You'll connect investment in headcount, infrastructure, AI and cloud usage, and tooling to product outcomes, with clear measurement and reliable forecasts. You'll sit at the CTO's staff table, shape GitLab's long-range plan, and help leadership decide where to invest next, making R&D spend predictable. What you’ll do Serve as the finance advisor to the CTO and R&D leadership. Hold partners accountable for execution against plan and connect R&D priorities to company financial targets. Lead annual planning, and rolling forecasts for R&D. Own the operating plan across headcount, compensation, contractors, hosting and cloud, AI and large language model (LLM) costs, software, and tooling. Build frameworks that connect R&D investment to product roadmap outcomes. Evaluate business cases for new initiatives, AI capabilities, build-versus-buy decisions, and vendor commitments, and present risks and opportunities to leadership. Define and track R&D efficiency metrics, including R&D spend as a percentage of revenue, cost per engineer, hosting cost per user, and AI inference cost per feature. Identify large-scale savings and reallocation opportunities and see them through to completion. Partner with People and R&D leaders on hiring plans, location strategy, and organizational design. Keep headcount forecasts accurate and reconciled to actuals. Lead the AI transformation of R&D finance. Rethink planning, forecasting, and reporting workflows, and use AI tools to make them faster, more accurate, and more insightful. Redesign FP&A processes, policies, and planning and reporting systems for efficiency and effectiveness, with AI in the center. Work with Accounting on capitalized software, accruals, and allocations, and with Procurement on process improvements. Lead and develop your R&D finance team:: hire and coach team members, set goals and priorities, and give expert feedback. Put GitLab's values into practice through handbook-first, asynchronous collaboration across time zones. What you’ll bring Extensive finance experience, including serving as the lead finance partner to an R&D, Engineering, or Product organization plus experience leading a team of analysts A strong understanding of financial statements, accounting principles, and R&D cost drivers, including engineering headcount, cloud hosting, AI and LLM usage, software licenses, and capitalized software development. Experience leading process redesign and change in a finance team, including hands-on use of AI tools to improve how work gets done. Expertise in influencing senior technical stakeholders and translating complex analysis into clear recommendations for executives. Advanced financial modeling skills that follow industry best practices, expertise in Google Sheets, and hands-on experience with financial and data visualization tools. We don't use Excel for modeling. A bachelor's degree in Finance, Accounting, Economics, or a related field. Comfort working remotely and asynchronously, and the ability to use GitLab. Preferred experience includes enterprise software-as-a-service (SaaS) finance; direct CTO partnership; NetSuite, Sisense, Adaptive Planning, or SQL; or a Master of Business Administration (MBA), Chartered Financial Analyst (CFA), or Certified Public Accountant (CPA) qualification. 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 $168,000 — $285,600 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, Austria; Remote, Germany 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. The CSA role is a pivotal addition to our customer success team, focusing on building strong, consultative relationships with our key customers. Our CSAs will serve as trusted advisors, leveraging their deep understanding of DevSecOps best practices, industry trends and our software capabilities to help customers navigate complex challenges and achieve their desired outcomes. Additionally, our team serves as liaisons between the customer and the GitLab ecosystem, streamlining collaboration with Product Management, Engineering, Sales, Professional Services, and others. CSM handbook . What You’ll Do Partner with our customers in taking what was established in the pre-sales command plan, and turning the customers desired positive business outcomes into actionable objectives Know the GitLab platform, our more common best practices, and use cases in order to guide the customer Understand the customer journey and be able to guide them on future adoption Act as the GitLab liaison for GitLab questions, issues, or escalations. Work with GitLab Support, Product Management (i.e., roadmaps), or other teams as needed Own a book of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction Remain knowledgeable and up-to-date on GitLab releases Provide immediate onboarding activities Work with assigned customers to build Customer Success Plans, establishing critical goals, or other key performance indicators and aid the customer in achieving their goals Program manage account escalations Provide insights with respect to the availability and applicability of new features in GitLab as relevant Support GitLab Services in identifying and recommending training opportunities What You’ll Bring Understanding of Git and typical branching strategies Knowledge of software development lifecycle and development pipeline Understanding of continuous integration, continuous deployment, DevSecOps Prior experience in Customer Success or equivalent history of increasing satisfaction, adoption, and retention Experience partnering with customers to define and achieve business outcomes Familiarity working with customers of sizes relevant to the assigned segment Exceptional verbal, written, organizational, presentation, and communications skills Detailed oriented and analytical Strong team player but self-starter Project management experience & skills Strong technical, analytic, and problem-solving skills Alignment with our values, and willingness to work in accordance with those values Ability to travel if needed and comply with the company’s travel policy Demonstrated progressive experience in a related function is required with direct customer advocacy and engagement experience in post-sales or professional services functions Fluent German About the team The Customer Success Architect (CSA) team focuses on hands-on technical enablement, adoption, utilization and maturity - while maintaining strong customer relationships and business alignment. 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: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human. Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion. Concretely, you will: - Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment - Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience - Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones - Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it - Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture - Work hand in hand with care experts and product to identify the next topics the AI can fully resolve ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability. - Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters. - Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Strong backend experience (Python is a plus) - Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production - An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - You stay on top of a fast-moving AI landscape and are pragmatic about what really works - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium or Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Colombia; El Salvador; Honduras; Guatemala; Nicaragua; Dominican Republic We are seeking a detail-oriented, highly organized, and proactive Virtual Surgery Scheduling Coordinator to support a U.S.-based orthopedic medical practice. In this role, you will be responsible for coordinating surgical procedures, managing medical administrative workflows, communicating with insurance payors (Workers' Comp, Personal Injury, and Medicare), and liaising directly with attorneys and clinical teams. If you have at least 2 years of experience in U.S. surgery scheduling, exceptional written and verbal communication skills, and a strong customer-centric mindset, we encourage you to apply! Top 3 Daily Tasks Surgery & Appointment Scheduling: Coordinate, schedule, and track surgical procedures, consultations, and follow-ups while managing provider calendars with high accuracy. Medical Administration & Document Editing: Review, edit, and organize medical reports, surgical documentation, and client files to ensure complete clinical precision. Payor & Legal Coordination: Process and verify Workers' Compensation (W/C), Personal Injury (PI), and Medicare authorizations, while liaising directly with attorneys and insurance adjusters regarding case requirements. Key Responsibilities Oversee end-to-end surgery scheduling workflows, ensuring seamless communication between patients, surgical centers, physicians, and administrative staff. Review and edit complex medical reports, ensuring accuracy before distribution to payors, legal teams, or patient records. Manage Workers’ Compensation, Personal Injury, and Medicare claims details related to surgical approvals and pre-authorizations. Communicate professionally with law offices and attorneys regarding Personal Injury and Workers' Comp cases. Maintain clear, professional written and verbal communication with patients to guide them through pre-op and post-op administrative steps. Work independently to solve scheduling bottlenecks, follow up on pending authorizations, and update patient files in the EMR. Requirements Experience: 2+ years of direct experience in surgery scheduling for a U.S. medical practice (experience in Orthopedics is a strong plus). Insurance & Legal Knowledge: Solid working knowledge of Workers’ Compensation (W/C) , Personal Injury (PI) , and Medicare procedures. Medical Documentation: Proven experience reviewing and editing medical reports and clinical documentation. Language Skills: Fluent/Bilingual English (written and spoken) with strong interpersonal communication. Spanish speaking capability is preferred. Tech Skills: Proficient in Google Workspace, Microsoft Excel, Microsoft Outlook, and digital calendar management. EMR/EHR Experience: Hands-on experience with medical EMR systems. Experience with ModMed (EMA) is a major plus, though candidates proficient in other EMR platforms are welcome to apply. Work Style: Ability to work independently with minimal supervision, highly team-oriented, customer-focused, and detail-driven. Work Setup & Terms Schedule: Full-Time (40 hours/week, Monday – Friday, 8:00 AM – 5:00 PM PST). Location: 100% Remote. Technical Setup: Quiet home office workspace equipped with a high-speed computer setup, noise-canceling headset, and power/internet backup infrastructure.

Location: El Salvador; Colombia; Nicaragua; Bolivia, Plurinational State of; Honduras; Guatemala We are seeking a detail-oriented, empathetic, and highly organized Paralegal / Case Manager to support a US-based law firm handling plaintiff-side litigation (employment law and personal injury). This is a hands-on operational role combining legal intake, client communication, case management, and drafting support. The ideal candidate possesses strong written and verbal English communication skills, a calm demeanor when handling sensitive intake calls, and hands-on experience managing cases within legal CRM platforms. Key Responsibilities 1. Legal Intake & Case Qualification Answer inbound phone calls, web leads, and texts from potential clients using the firm’s screening scripts. Conduct detailed intake interviews, gathering critical case facts (employer information, dates of employment, termination details, pay disputes, protected classes, or injury details). Perform initial case qualification checks (statute of limitations, employer size, at-will vs. contract status) and flag strong leads to the attorney on the same day. Send, track, and follow up on retainer agreements and intake forms via e-signature tools. 2. Client Management & Communication Provide a warm, steady, and empathetic phone presence for clients navigating job loss or personal injury. Schedule client consultations and manage attorney calendar availability. Conduct regular client check-ins on treatment progress, address status inquiries, and ensure no gaps in medical care occur. 3. Medical Records, Bills & Insurance Coordination Request and systematically track medical records and bills from healthcare providers. Correspond directly with insurance adjusters regarding claim setup, PIP/MedPay, liability, and property damage updates. Maintain accurate, up-to-date case notes, deadlines, and logs in the case management system. Flag fully documented files that are ready for demand drafting to the attorney. 4. Paralegal & Case Drafting Support Organize client documentation and construct structured case chronologies. Draft demand letters, administrative agency filings (EEOC, CRD, DLSE), and legal correspondence using firm templates. Follow up with clients proactively to gather outstanding records and evidence. Schedule: 9am - 5pm PST Requirements Experience: Minimum 1+ year of experience in a US law firm as a Case Manager or Paralegal (plaintiff-side litigation, employment law, or personal injury preferred). Communication Skills: Excellent spoken and written English with clear, professional drafting abilities for legal notes, attorney summaries, and client/adjuster correspondence. Phone Demeanor: Calm, steady, and empathetic phone manner suited for distressed clients. Core PI Lifecycle Knowledge: Solid grasp of the full case lifecycle (intake, medical treatment tracking, records/bills retrieval, demand preparation, negotiations, and settlement). Insurance & Provider Handling: Direct experience coordinating with medical providers and communicating with insurance adjusters. Software Proficiency: Hands-on experience with legal case management systems (Filevine, CASEpeer, Clio, Litify, SmartAdvocate, or equivalent). Organization: Highly organized with proven ability to manage heavy caseloads, prioritize deadlines, and drive proactive follow-ups. Client Systems & Tools Case Management Systems: Filevine, CASEpeer, Clio, Litify, SmartAdvocate, or similar legal CRMs. Communication & E-Signature: E-signature platforms (DocuSign/HelloSign), VoIP phone systems, and web lead management tools.

Location: United States; Germany; France; Poland; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans. Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable. At least 5 years of hospitalist experience. Current or recent inpatient pediatric hospitalist experience within the past two years. Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation. Ability to interpret clinical notes and structured medical record data. Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently. Clear written communication skills and the ability to explain clinical findings accurately.

Location: Egypt; Nigeria; Pakistan; Romania; Bangladesh About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans. Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable. At least 5 years of hospitalist experience. Current or recent inpatient pediatric hospitalist experience within the past two years. Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation. Ability to interpret clinical notes and structured medical record data. Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently. Clear written communication skills and the ability to explain clinical findings accurately.

Location: Brazil; Argentina; Mexico; Colombia; Peru; Chile About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans. Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable. At least 5 years of hospitalist experience. Current or recent inpatient pediatric hospitalist experience within the past two years. Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation. Ability to interpret clinical notes and structured medical record data. Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently. Clear written communication skills and the ability to explain clinical findings accurately.

Location: Limassol, Cyprus About us Freedom Finance Europe Ltd is a regulated European online broker headquartered in Cyprus, providing access to US, European and Asian capital markets and a broad range of investment services and financial products. We operate in a fast-moving, highly regulated environment where product speed, client trust, marketing accuracy, regulatory discipline and legal architecture must work together. We are now strengthening our Legal Unit and looking for a senior legal leader to head one of its key expert departments. About the role The Senior Legal Counsel will provide practical, business-oriented legal support across brokerage, investment services, products, commercial agreements, client-facing documentation and regulated communications. This is a senior individual-contributor role for an experienced in-house lawyer who can combine strong legal judgement with hands-on drafting, negotiation and cross-functional collaboration. The role also involves turning recurring legal work into clear, reusable templates, playbooks and standards. The position reports to the Head of Brokerage, Product & Commercial Legal. Provide legal support for the Company’s regulated brokerage model, investment services and product-led initiatives. Assess new products, commercial initiatives, client journeys and distribution scenarios, identifying relevant legal and regulatory requirements and practical execution options. Analyse and apply applicable CySEC, MiFID II/MiFIR, EU financial services, conduct of business, disclosure, prospectus, data protection and sanctions-related requirements. Draft, review and negotiate brokerage, product and commercial agreements with clients, partners, counterparties, service providers, banks, payment institutions, introducing brokers, vendors and other third parties. Own, draft, review and update Terms of Business, disclosures, product terms, client forms, prospectus-related materials, website and platform wording, disclaimers and other client-facing documentation. Review marketing materials, campaigns, claims, presentations, website content, landing pages, client communications and sales initiatives; identify risks and suggest practical alternatives. Review platform flows and client journeys to identify legal, disclosure, transparency and conduct-related risks. Prepare legal positions and response strategies for complex client complaints and pre-dispute matters, including legally sensitive communications and escalation packs. Support relevant teams on sanctions, restrictions and asset-unblocking matters, and coordinate with external counsel when required. Support GDPR and data-protection legal analysis where it intersects with the department’s work. Develop and maintain templates, standard clauses, negotiation playbooks, checklists and other repeatable legal solutions. Work closely with Compliance, Risk, Product, Marketing, Sales, Operations, Client Support, IT, Finance, Document Management and other stakeholders. Support and guide junior or mid-level team members when required, helping maintain the quality and consistency of legal work. Escalate matters that may affect the Company’s licence, regulatory position, client rights, reputation or material financial exposure. Requirements 7–9+ years of relevant legal experience in an in-house legal function of a Cyprus Investment Firm, regulated financial institution, broker, fintech company or a law firm supporting such clients; Law degree. Common-law qualification/JD or civil-law equivalent with strong exposure to common-law drafting and international transactions is preferred; Strong understanding of brokerage, capital markets, investment services, advisory/portfolio management business, client documentation and regulated product distribution; Strong knowledge of CySEC/CIF regulatory environment, MiFID II/MiFIR, applicable EU financial services regulation, GDPR/data protection, sanctions-related regulation, commercial contracts and client-facing legal documentation; Strong drafting and negotiation skills in English and Russian; ability to prepare concise legal memos, business-friendly advice and contract-ready wording; Advanced user of Microsoft Office and ability to work with legal tech, document management, task management and knowledge management tools. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: United States; United Kingdom; Germany; France; Poland About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical findings clearly.

Location: Egypt; Nigeria; Romania; Pakistan; Bangladesh About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical findings clearly.

Location: Brazil; Argentina; Mexico; Colombia; Peru; Chile About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical findings clearly.

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 Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. 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: Remote, Canada; Remote, Israel; Remote, United Kingdom; 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 Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team Bring systems built by one engineer to team ownership through documentation, tests, and shared review Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. 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 Revenue Operations Manager at GitLab, you'll own work the whole go-to-market organization relies on: the policies and processes that govern how we sell and book deals, our global forecasting process, and the Chief Revenue Officer (CRO) operating cadence. You'll report to the Senior Manager, Sales Operations, and work closely with sales leadership, other Revenue Strategy & Operations teams, Finance, Deal Desk, Product, and Data. This is a senior individual contributor role. You'll bring experience running a forecast process day to day and a practical understanding of how a sales organization works. You'll work independently to take a problem from "something looks off in the numbers" to a fix that sticks. GitLab is all-remote, and most of our work happens in writing. Clear, concise documentation is a big part of this job. What you’ll do Own the policies that define how deals are booked, credited, and forecasted, including bookings rules, opportunity netting, and sales stages and exit criteria. Write them, get them approved, and make sure the field understands what changed and why. Identify process problems before they affect the numbers. Validate and size the problem with data, find the root cause, and drive the fix with the right team, whether that's Revenue Systems, Deal Desk, Enablement, or compensation. Partner with Revenue Systems to build policy into system rules, validations, and alerts, reducing manual reviews and after-the-fact corrections. Improve forecast methodology by tracking actual results against the forecast, explaining variances, and changing processes that aren't working. Partner with Finance and Revenue Analytics to reconcile the field forecast with the finance outlook. Own the weekly forecast readout for the CRO and sales leadership, keeping it short and focused on decisions. Bring the forecasting and policy perspective into annual planning. Coordinate the CRO organization's weekly, monthly, and quarterly reviews, metrics, and follow-ups. Measure their impact on pipeline hygiene, data quality, forecast accuracy, and bookings, and change the cadence where it isn't working. Work with other Revenue Strategy & Operations teams, Finance, Product, Data, and Enablement to deliver changes from the first draft through field adoption. Keep cadence documentation current so the organization knows what happens when, who owns it, and what's expected. Mentor others on the team and improve how we document and run our processes. What you’ll bring Experience in Sales Operations, Revenue Operations, management consulting, or a similar role, including running a forecast process day to day in a business-to-business (B2B) subscription business. A practical understanding of how a sales organization runs, including pipeline stages, deal bookings and crediting, bookings and annual recurring revenue (ARR) definitions, and how compensation influences sales representative behavior. Strong data and analysis skills. You're highly proficient in Excel or Google Sheets, can build a model from scratch, and check your own numbers before sharing them. The ability to work independently, identify what needs to be done, and work with stakeholders to get it done. You involve your manager when you need a decision or hit a blocker. Clear, concise writing. You can turn a complex issue into a short document or Slack message that a senior leader will read and act on. Comfort working with senior leaders, including taking feedback from a CRO and turning it into a better process or a more useful readout. Systems thinking and the ability to learn new tools and domains quickly. You understand how customer relationship management (CRM), quoting, billing, and compensation systems connect, and how a change in one affects the others. How you think matters more to us than which forecasting tool you've used. Helpful, but not required: experience rolling out bookings, crediting, or deal policies; forecasting consumption or usage-based revenue; using tools such as Clari and Salesforce reporting; or a consulting, strategy, or structured problem-solving background. About the team The Sales Strategy & Operations team sits within Revenue Strategy & Operations at GitLab. We're a small team working closely with Finance, Deal Desk, Revenue Systems, Revenue Analytics, and sales leadership. We work asynchronously first, keep our documents short, and focus on practical solutions that make the field's job easier. 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 $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .