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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency,...
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.
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.
As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are
the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive
Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle:
understanding how work flows today, deciding where AI should reshape it, prioritising what gets built and in what order, and
ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before
pulling in engineering support to scale it.
You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the
business context, process intelligence, and strategic prioritisation. They bring the technical depth, production-grade delivery,
and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on
the right approach, tooling, and structure.
to the org, identify what will move the needle, define how you'll measure impact, and track progress over time.
where the real constraints are, not just the ones your team can see. Focus on the 100x problems: where could leveraging AI in a
workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
every team member has a clear route to surface what they need, rather than building independently.
direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work.
to spot opportunities to fundamentally rethink how work gets done.
the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've
built, regular office hours, onboarding for new hires, and celebration of wins. Own the rollout and iteration needed to make AI
initiatives stick.
of the business.
you and the AI Engineer can deliver directly. From early in the role, identify and recruit Champions across sub-teams (5-10%
time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their
bridge to Enterprise AI. Champions are not your reports: you coordinate them, you don't manage them. Without this network, your
reach is capped.
without waiting for engineering.
skills across the function.
to connect and how to do it securely.
Either way, you're accountable for their performance: tracking KPIs, running evaluations after model or data changes, and
iterating based on what you learn.
should be comfortable sunsetting your own work when a better approach emerges, and helping your org stay current rather than
attached to what exists today.
can trace a process end-to-end and explain how it connects to the teams around it.
think in terms of business outcomes, not activity.
success metrics and holding yourself accountable to them.
the credibility and interpersonal skills to make both of those conversations land.
you - not just optimising in isolation.
whether as a guild lead, champion programme owner, or community organiser. You know how to motivate people whose time you don't
directly own.
configure a skill, connect an MCP server, and troubleshoot when something isn't working. Think: power user, not software
engineer.
agent configuration. You'll be trained on GitLab's specific tooling, but you should arrive ready to get your hands dirty.
and a commitment to staying current. The landscape shifts constantly. The tools you use today may be obsolete in weeks. You
stay on top of new developments so that your org's AI strategy reflects what's actually possible, not what was possible six
months ago.
should interface with automated workflows and at what steps.
You will partner closely with Enterprise AI within the Enterprise Technology & AI organisation, while remaining embedded in your
own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context,
prioritisation, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI
transformation.
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
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.
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 Regional Marketing Manager, EMEA on GitLab's Regional Marketing team, you'll guide the strategy and execution of integrated programs that help increase pipeline growth across the EMEA region. You'll work closely with Sales, Marketing, Product, and Ecosystem teams to create in-person and digital experiences that show GitLab's value to enterprise audiences and assist both Sales and Ecosystem priorities. In this role, you'll manage regional plans, bring creative ideas to market, and use performance insights to improve programs over time, while working with flexibility in GitLab's all-remote, asynchronous, values-driven environment. Some examples of our projects: * Building regional field marketing strategies and integrated campaigns across EMEA that align to territory priorities and help generate measurable pipeline * Delivering third-party and GitLab-owned events, alongside digital programs, that create meaningful engagement with customers and prospects across the region WHAT YOU’LL DO * Manage EMEA regional marketing initiatives by creating detailed program plans and executing integrated campaigns that advance Sales and Ecosystem goals. * Develop and run field marketing strategies across the region, using in-person and digital tactics to engage target audiences and increase pipeline growth. * Continually test, learn, and improve programs to define best practices and evolve regional marketing as business needs change. * Analyze performance and communicate the impact of regional marketing programs to different audiences, including local leadership and executive stakeholders, tailoring insights clearly for each group. * Improve return on investment through disciplined planning, measurement, and management of regional marketing budgets and financial processes. * Coordinate cross-functional collaboration to execute demand generation and field marketing plans in collaboration with Sales, Product, and other Marketing teams. * Work with external agencies and third-party partners to plan, manage, and deliver campaigns and events across EMEA. * Help build and improve processes within the Regional Marketing organization, and travel as needed in line with company policy, with travel up to 50% required. WHAT YOU’LL BRING * Experience in B2B technology marketing with a focus on field or regional marketing and close collaboration with Sales teams. * Proven ability to create and execute marketing programs that combine strategic planning with strong attention to operational detail. * Creative thinking and a willingness to build new programs from the ground up, while bringing fresh ideas and practical approaches to regional campaigns. * A data-driven mindset, with experience using results and performance insights to guide decisions, refine tactics, and shape strategy. * Experience owning or supporting territory budgets, including allocating resources across tactics and managing spend responsibly. Strong organizational and communication skills, with the ability to turn complex ideas into clear content, presentations, and stakeholder updates. * Ability to work in a fast-moving environment with many stakeholders, work self-directed with minimal supervision, and build trust across teams. * Proficiency with core collaboration and CRM tools such as Salesforce, Slack, and Google Workspace to support program execution and cross-functional coordination. * Familiarity with marketing automation, reporting, and project management tools, and an understanding of Agile, DevOps, or the software development lifecycle. ABOUT THE TEAM The Regional Marketing team is a strategic collaborator to Sales and the broader go-to-market organization, and we focus on helping GitLab grow through thoughtful, measurable regional programs. In EMEA, we bring together regional insight, campaign execution, and close collaboration to connect GitLab's platform story with the needs of buyers across varied markets. You'll join a distributed team where we value transparency, iteration, and strong cross-functional collaboration, and you'll have the chance to contribute to how we show up in the region through programs that assist pipeline, strengthen our market presence, and reflect our mission to enable everyone to contribute to and co-create the software that powers our world. 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.
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Retail is Toast's biggest bet and we are growing rapidly. The opportunity is massive, and the category is ours to define. You'll have the backing of Toast's scale, brand, and resources but you'll be on the team architecting how we operate, scale, and win. The decisions you make in this role will shape how Toast competes in retail for years to come. Toast is prioritizing AI integration across the enterprise to redefine GTM velocity. As part of this strategy, multiple business units are pursuing specialized AI initiatives tailored to market challenges. This model balances corporate-wide coordination with vertical accountability: teams work in lockstep to scale efficiencies and aggregate impact, while remaining responsible for developing, building, and launching solutions optimized for unique operating environments. The GTM Sales Engineer & AI solutions is the core functional driver of this transformation within the Retail vertical. As an expert in applied AI, you will own the centralized deployment of AI applications to directly improve Productivity Per Rep (PPR). You will drive AI-powered productivity and automation across Retail sales, working with AEs and BDR/SDR teams to accelerate sales and with Onboarding to streamline the path to Customer Go-Live, with the opportunity to grow your impact across other GTM and client-facing teams as the vertical scales. You will be the operational linchpin running the Retail AI GTM Pod, architecting a continuous feedback loop sourcing grassroots ideas from the frontline, filtering them through a business lens, and scaling them into production tools. This is a technical, builder-focused role. You will observe decentralized AI applications working across the organization and partner to accelerate their impact, making them structurally better, integrating them into core systems, and maintaining them long-term. While you will partner with central corporate operations and marketing to advocate for Retail use cases and scale company-wide efficiencies, you will also possess the autonomous engineering capabilities to construct vertical-specific pipelines when distinct merchant workflows require it. This role sits in Revenue Operations, but will also dotted-line report into engineering. A day in the life (Responsibilities) AI GTM POD GOVERNANCE & SOLUTION SOURCING * Leadership & Facilitation: Stand up the Retail AI GTM Pod to surface, qualify, and scale AI applications across the Retail field. The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales & Onboarding, contributing domain expertise and frontline signals. The pod functions as an intake mechanism and sounding board, surfacing field experiments, pressure-testing priorities, and keeping your roadmap grounded in what moves the business. * Idea & Solution Sourcing: Serve as the production engine for ideas surfacing through the pod and field. Evaluate what is worth scaling, determine the right build, buy, or borrow path, and take the strongest ideas from experiment to production tool—launching with Enablement to non-technical end-users and maintaining active ownership through adoption tracking, feedback, and iteration. * Build vs. Buy Evaluation: Lead technical discovery to determine the most efficient path for problem statements, assessing whether to build a custom agentic solution, stitch existing APIs, or coordinate with vendors to purchase a scalable product. * Roadmap Prioritization: Translate decisions into a sprint-based roadmap, prioritizing developments based strictly on their potential to drive vertical PPR and eliminate administrative friction. APPLIED ENGINEERING & SYSTEMS INTEGRATION * Agile Sprint Execution: Maintain and execute against a technical scrum board, operating on defined sprint cycles to continuously ship, test, and iterate on AI-powered features. * Industrializing Frontline Wins: Take successful, unscaled local experiments (e.g., territory expansion scoring, contact discovery pipelines, multi-intent category parsers) and harden them with error handling, version control, scalable code, and secure coding practices like input validation, secrets management, and mitigation of LLM risks (e.g., prompt injection). * Systems Integration: Coordinate integration efforts to map vertical AI outputs into core GTM platforms (Salesforce, Snowflake, Taskray), ensuring local applications enhance rather than disrupt foundational enterprise pipelines. * Data Integrity Architecture: Build & monitor data validation frameworks ensuring model inputs are pristine and outputs are entirely auditable and trusted by the field. * Application Security: Design & enforce security controls for Retail AI applications, including authentication/authorization frameworks, secrets management, access controls on model outputs, and mitigations for LLM risks (prompt injection, data exfiltration). Ensure builds meet Toast's security standards given system proximity to payment and customer data workflows. CROSS-FUNCTIONAL PARTNERSHIP & STRATEGIC RADAR * Enterprise Collaboration: Contribute to cross-functional AI coordination cadences connecting Revenue Operations, Marketing AI, and Business Technology teams across Toast. Align on company-wide AI investments, advocate for Retail use cases and merchant requirements in shared roadmaps, and identify where central efforts can be leveraged, adapted, or extended. Serve as Retail's active voice in sequencing these shared initiatives while staying coordinated. * Vertical Personalization: Monitor central enterprise tool developments (e.g., prospecting or enablement agent suites) to identify opportunities to clone, customize, or extend for Retail merchant types. * Bidirectional Knowledge Exchange: Establish a pipeline for sharing locally developed code, architecture patterns, and prompt structures with central teams, ensuring Retail's breakthroughs help elevate Toast's engineering ecosystem. FLUENCY, ENABLEMENT & TRAINING LOOPS * AI Fluency Leadership: Design and execute vertical-wide enablement tracks to build a baseline of confident, independent AI tool usage across sales reps, onboarding consultants, and managers. * Adoption Analytics: Build & monitor adoption tracking mechanisms for deployed AI solutions, ensuring training translates into consistent field usage and measurable reductions in level of effort (LOE). What you'll need to thrive (Requirements) * Applied AI Deployment: 4+ years of experience in a technical, analytical, or GTM operations role, with a track record of owning the full deployment lifecycle of applied AI applications, RAG pipelines, or agentic workflows, including post-launch monitoring, alerting, rollback procedures, and model version management. * Modern AI Toolchain Literacy: Advanced, hands-on proficiency with developer-focused AI tools, specifically the Gemini Suite, Claude Cowork, and Claude Code. * Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference pipelines, orchestration layers), with demonstrated ownership through reliability, observability, and incident response. * Application Security Awareness: Familiarity with security best practices for AI-native systems, including authentication/authorization, secrets management, access controls on outputs, and awareness of LLM attack surfaces (prompt injection, data exfiltration). * Agile Operational Fluency: Experience operating within an agile engineering model, including managing technical product backlogs, running sprint cycles, and maintaining scrum boards. * Strategic Diplomacy: Exceptional communication skills with a proven ability to enter central enterprise forums, align stakeholders, advocate for vertical needs, and collaborate across business units. What will help you stand out (Nonessential Skills/Nice to Haves) * Software engineering or computer science background with the ability to write functional code (Python, JavaScript, or equivalent) and construct robust API integrations from scratch. * Direct domain familiarity with B2B SaaS and Retail tech spanning grocery, convenience, or wholesale commerce environments. * Experience building or scaling an AI program for non-technical end-users, including driving literacy, prompt engineering, or tool enablement. * Degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience as a technical founder or builder. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $172,000—$275,000 USD Zone B $150,000—$240,000 USD Zone C $135,000—$216,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations * Remote US About the Role The Global GTM Strategy, Planning and Operations team at Cloudflare supports our high-growth Sales organization through scalable, AI supported GTM planning and operations. We focus on thoughtful planning of sales capacity, segmentation, territory carving, quota setting, and compensation design while ensuring clear rules of engagement for our Sales Team. Our goal is to establish a cohesive, consistent process framework that can support high growth, enable the Company's strategy, and accelerate Cloudflare's leadership in the developer and AI-native business segments. As the Senior Principal, Sales Compensation Design & Strategy, you will design and manage Cloudflare's Sales Compensation Plans across all customer facing teams including Sales, Technical Sales, Partner Sales, and Customer Success & Experience, to ensure they are motivating, aligned with Cloudflare's strategy, and industry leading. This is a high visibility role with significant executive engagement, including leading C-level discussions with our CRO, CFO, CPO, and COO, and serving as the design authority on the Executive Compensation Steering Committee. You will architect new compensation metrics that reflect how Cloudflare monetizes a developer first, AI supportive business - including consumption, adoption, and platform attach - and ensure roles, territories, and quotas align with compensation plans to achieve our GTM objectives. You will establish a governance framework for efficient compensation planning and partner closely with the Compensation Administration and Operations Teams to ensure effective implementation and accurate payouts. A strong understanding of SaaS bookings, monetization approaches, and consumption and adoption models is essential. The scope of executive influence, the architectural work required to support our developer/AI business model, and the AI-native transformation of the compensation design function make this seat fundamental to our GTM execution strategy. Responsibilities Executive Leadership & Design Authority * Lead the Sales Compensation Design Process with the Executive Steering Committee, including CRO, CFO, and CPO level stakeholders. * Drive C-level discussions on compensation philosophy, pay-for-performance outcomes, and strategic trade-offs; develop recommendation decks and own the narrative through approval. * Architect new metrics that align seller incentives with Cloudflare's developer platform and AI product strategy (e.g., Workers consumption, AI Gateway adoption, platform attach, multi-product penetration). * Create a 3-year roadmap for the Sales Compensation Design function. AI-Native Compensation Design * Build the AI Compensation Design Framework and Application - an internal capability that uses AI to accelerate plan modeling, scenario simulation, payout forecasting, and what-if analysis across thousands of sellers and territories. * Leverage AI to design high-quality SPIFFs and incentive structures, including generating candidate designs, simulating seller behavior, and stress-testing against historical data before launch. * Track ROI of comp plans, SPIFFs, and incentive programs using AI-driven analytics - moving from lagging reporting to predictive measurement of plan effectiveness, seller behavior change, and revenue lift. * Develop AI-powered pay-for-performance reporting that surfaces insights for executives, managers, and sellers in real time, replacing static quarterly reviews with continuous intelligence. Cross-Functional Execution * Collaborate with GTM Strategy, Operations, Finance, HR, IT, and Product to ensure effective deployment of compensation plans and GTM strategy. * Lead compensation enablement and change management for the global Sales team, including AI-assisted communications, FAQ generation, and plan-acceptance workflows. * Design SPIFFs and incentive strategies that balance long-term strategic bets with short-term revenue goals. * Partner with the Compensation Administration and Operations Teams to ensure design intent translates into accurate, auditable payouts. Required Experience & Skills * 15+ years of experience in Sales Compensation Design in a fast-paced tech company or as a management consultant. * Demonstrated fluency with AI tools and AI-augmented workflows - whether through prior comp design work, analytics, or strategic projects. Comfort building or directing the build of AI-powered internal applications is strongly preferred. * Strong analytical skills, including the ability to architect new metrics for emerging business models (consumption, AI monetization). * Exceptional presentation and communication skills, with proven experience presenting to and influencing C-level executives. * Proven experience driving Executive Steering Committee meetings and owning the decision narrative end-to-end. * Experience leading cross-functional initiatives to completion across Finance, HR, IT, Product, and GTM. * Detail-oriented with a strategic mindset. * Bachelor's degree required. Bonus Points The ideal candidate combines a strong background in sales strategy and compensation design with genuine curiosity about applying AI to transform the function. Candidates will have exceptional stakeholder management skills, executive presence, and the confidence to manage evolving strategies in a high-growth company. Compensation Compensation may be adjusted depending on work location. ● For New York City and Washington based hires: Estimated annual salary of $220,000 - $303,000 ● For Colorado based hires: Estimated annual salary of $200,000 - $275,000 ● For San Francisco Bay Area based hires: Estimated annual salary of $230,000 - $317,000 What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.