• Architecting, building, and scaling OneStream’s end-to-end revenue operating system. • Design and execution of core mechanisms that drive predictable revenue growth. • Own territory design, pipeline governance, forecasting, deal desk operations, revenue analytics, systems architecture, and GTM enablement. • Operate as a transformational builder in high-growth, multi-product SaaS environment. • Partner with executive leadership to drive alignment across the full customer lifecycle. • Shape the next phase of GTM Evolution and modernize pricing, packaging, and commercial frameworks. • Establish rigorous forecasting discipline and improve predictability across the revenue organization. • Design and implement scalable coverage, territory, and quota models. • Lead transformation initiatives tied to GTM model evolution and operating cadence redesign.

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Revenue Operations Analyst in Ukraine to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency. We recognize that the best Revenue Operations talent often comes from diverse analytical paths. You are likely a strong match if you currently work in one of the following roles: - Business Data Analyst: You are an expert at using complex SQL queries to uncover “The Why” behind the numbers, translating disparate datasets into analytical recommendations for leadership that will influence revenue decisions. - Sales/Marketing Operations Analyst: You combine technical SQL mastery with deep CRM data knowledge to perform advanced analytics that optimize the B2B sales funnel and revenue predictability. - Commercial BI Analyst: You are a SQL specialist who doesn’t just build “reports,” but architects sophisticated data models and dashboards to perform deep analytics on revenue and market trends. Note on Fit: This is a Commercial Data & Strategy role. It is a great fit for those who love business strategy and deep analytics. It is not a fit for those focused on the SDLC, system analysis for software development, or writing technical requirements for engineering teams. Bizzabo’s Event Experience Operating System is a modern, intuitive platform used by the world’s leading organizations to deliver immersive experiences and events at scale. Named a Leader in the Gartner® Magic Quadrant™ and Forrester Wave™ for event technology, enterprises rely on Bizzabo to manage their entire event portfolio, regardless of format or size. Bizzabo is recognized by Newsweek as a 2024 Global Most Loved Workplace and as a 2024 Top Most Loved Workplaces® for LGBTQ+ employees. Bizzabo was founded in 2011 by Boaz Katz, Alon Alroy, and Eran Ben-Shushan and is headquartered in New York and Tel Aviv. Requirements What You’ll Be Doing - Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success) to provide the analytical support and insights needed to inform revenue decisions. - Identify growth opportunities by analyzing CRM data to uncover actionable insights and resolve operational bottlenecks through end-to-end analytical project leadership. - Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation. - Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow. - Uncover the underlying drivers of business performance and translate the data into clear narratives that inform decisions. - Provide proactive insights and strategic recommendations based on key performance indicators. - Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment. Required Experience & Skills - Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field. - Technical Mastery: - SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery). - BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools. - Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis. - Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels. - Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives. - Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders. - Cross-team collaboration: Strong communication skills and the ability to collaborate effectively with sales leaders and cross-functional teams - Mindset: Highly independent, self-motivated, and excellent at multitasking to ensure management of multiple high-priority projects in a fast-paced environment while maintaining swift execution on daily tasks. Preferred Qualifications - Experience with AI-integrated analytics platforms or building automated workflows using AI agents. - Familiarity with Salesforce, HubSpot and PlanHat data structures. - Experience in fast-paced, SaaS, or startup environments. Community Details and Perks null

• Own and optimize revenue operations across the full customer lifecycle, from lead generation and sales through onboarding, customer success, and renewals, aligning systems, data, and workflows for scalability and efficiency. • Lead delivery of data for revenue forecasting, reporting, and performance analytics, delivering clear visibility into pipeline health, bookings, expansion, and retention while equipping leadership with actionable insights for decision-making. • Design and scale cross-functional operational infrastructure across Sales, Marketing, Customer Operations, Customer Success, Support, and Order Management, ensuring seamless processes, system integrations, and data flow across teams. • Serve as a shared services partner to all commercial and customer-facing teams driving operational excellence across deal desk, quote-to-cash, and customer lifecycle processes, identifying automation opportunities and leveraging data and AI-driven insights to improve deal velocity, expansion opportunities, operational efficiency, and overall commercial performance. • Evaluate, implement, and manage AI-powered revenue tools across the GTM and customer stack, including conversational intelligence (e.g., Gong), AI forecasting (e.g., Clari, SFDC Advanced Forecasting), prospecting/enrichment automation (e.g., UserGems, ZoomInfo) to improve deal execution and customer health visibility. • Build AI-driven workflow automations that reduce manual overhead and improve operational discipline across commercial and customer teams (e.g., lead routing, pipeline hygiene, renewal risk signals, escalation triggers, and forecast rollups). • Own GTM and customer data intelligence, integrating intent data, enrichment, product usage signals, and AI-scored insights to prioritize pipeline, expansion, and retention opportunities. • Leverage AI copilots and agents to enhance analysis, surfacing patterns in pipeline performance, churn risk, and expansion signals that inform strategic decision-making. • Drive AI adoption across Sales, Customer Success, Order Management, and Support, developing playbooks, enablement, and operating frameworks to embed AI in workflows.

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. What You Will Accomplish - Architect and Own the Revenue Tech Stack: Own Eve’s GTM systems infrastructure, including HubSpot, Outreach, Apollo, Clay, Orum, Vitally, etc. Recommend additional tools as the company scales, with a clear point of view on what earns a place in the stack. - Build AI-Powered Workflows and Automations: Design and deploy AI-driven automations using Clay, Zapier, n8n, and other best-in-class tools to cut manual work and accelerate the revenue motion. Stay ahead of emerging tooling and bring new capabilities to the team. - Drive Data Hygiene and CRM Governance: Establish data quality SLAs, audit processes, and governance frameworks across all revenue systems. Hold GTM leadership accountable to cross-functional data standards — not just build the systems, but enforce the standard. Build and maintain a single source of truth for pipeline and customer data that downstream functions can depend on. - Lead Cross-Functional Systems Projects: Own implementation of new tools and integrations from scoping through rollout and adoption. Manage multiple simultaneous projects with clear communication and consistent delivery. - Architect and Execute the Revenue Systems Roadmap: Own the 12–24 month architecture roadmap for Eve's GTM systems. Lead CRM migrations, rationalize the tool stack, and integrate AI systems into the revenue motion. Build the systems that enable downstream RevOps capabilities — capacity planning, territory splits, and verticalization — as the company scales. - Serve as the GTM Systems Connective Tissue: Partner with Sales, Marketing, Customer Success, and Finance to turn business needs into working systems. Be the person who gets things built, documented, and actually used. What We Are Looking For - Technical Revenue Systems Strategist: 10+ years architecting and owning revenue systems at B2B SaaS companies scaling to $100M+ ARR. You proactively advise on systems architecture, identify risks before they become blockers, and bring a clear point of view on what the stack needs to look like 12–24 months out. Proven track record navigating CRM migrations, tool stack evaluations, and AI systems integration at scale. - Deep CRM and Sales Tech Expertise: Expert-level HubSpot proficiency (or comparable CRM) with strong working knowledge of Outreach, Apollo, Orum, Vitally, etc. You architect these tools, not just administer them. - AI Automation Fluency: Hands-on experience building automations with Clay, Zapier, and/or n8n. You default to “how can a system handle this?” and you know how to build it. - Data Governance Mindset: Deep commitment to data hygiene and CRM governance. You treat clean data as the foundation everything is built on, and you build systems accordingly. - Project Management Excellence: Ability to manage multiple initiatives, balance priorities, and drive projects to completion with precision and clear stakeholder communication. - Cross-Functional Influence and Accountability: Comfortable translating complex systems concepts for non-technical audiences and advocating for the right solutions with leadership. Drives cross-functional data hygiene standards and holds GTM leadership accountable to them — not just builds systems, but ensures the organization adopts and enforces them. Builds lasting trust across Sales, CS, Marketing, and Finance. - High Tolerance for Ambiguity: Thrives where the playbook is still being written. Brings structure to undefined problems and is energized by building from scratch in a fast-moving environment. You Will Thrive in This Role if You Have - Full Revenue Systems Lifecycle Ownership: Experience owning GTM systems from vendor evaluation through implementation, optimization, and deprecation. You know what good looks like because you’ve built it. - Automation-First Instincts: A habit of defaulting to automation, whether through no-code tools, API integrations, or light scripting. You build systems that run themselves. - Hypergrowth Track Record: Experience scaling GTM systems at a company growing 2x or faster, where priorities shift week to week and the systems have to keep up. - Startup Operator Mentality: Comfortable making confident decisions with incomplete information and shipping fast, while keeping the systems rigor that prevents technical debt from building up. - Cross-Functional Change Management: Proven ability to drive adoption across Sales, Marketing, CS, and Finance without relying on formal authority. You bring people along and make new processes stick. Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate. US Base Salary Range $140,000—$160,000 USD Benefits 💰 Competitive Salary & Equity 💹 401(k) Program with Employer Matching ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚗 Commuter Benefits* 🧑‍💻 Autonomous Work Environment 🖥️ Workplace Setup Reimbursement 🏠 Telecomm Stipend 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings 🥪 In office Perks* *In office employees only Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.