• Design workflows and implement operational tools to improve efficiency across teams; • Create and maintain dashboards, perform data analyses, and monitor KPIs to support leadership decisions; • Support commercial teams in daily operations, including CRM processes, troubleshooting, and removing blockers; • Communicate global policies and processes to local teams, ensuring correct implementation and identifying process gaps; • Train and onboard new team members on CRM processes and tools; • Manage sales approval processes, including technical validations and compliance with internal policies; • Prepare and maintain documentation, templates, and proposals; • Lead and participate in local and global projects focused on process improvement, automation, and optimization; • Supervise commission calculations and provide data-driven insights to support business growth.

• Own the technical infrastructure that powers our revenue engine • Architect our CRM data model and integrate new data sources • Lead the technical implementation of AI tools across our sales processes • Work alongside the Revenue Operations Manager • Maintain our CRM data model in HubSpot • Build and maintain data pipelines that connect external sources into our CRM • Establish data governance standards and ensure data quality across all revenue systems • Create a "single source of truth" for revenue data that sales, marketing, and CS can trust • Evaluate, implement, and optimize AI tools that enhance sales productivity • Build automated workflows that reduce manual work for reps • Build and maintain dashboards and reports that provide visibility into pipeline health, conversion rates, and GTM performance • Own outside integrations between our revenue tools

• Develop and maintain dashboards, reports, and forecasting models to support revenue planning and operational decision‑making. • Analyze key revenue metrics (conversion rates, pipeline velocity, funnel performance, forecast accuracy) to identify trends and root causes. • Surface actionable insights that improve sales productivity and operational efficiency across the revenue organization. • Improve revenue processes including lead‑to‑client conversion, pipeline hygiene, territory alignment, and handoff between Marketing, Sales, and Client Service. • Evaluate and implement tools, workflows, and automation to streamline operations and enhance data quality. • Support business performance reviews by delivering structured insights and standardized reporting packages. • Partner with Sales, Marketing, Finance, and Client Service to unify revenue data, align KPIs, and support strategic planning initiatives. • Collaborate with Finance to support operational alignment on forecasting, compensation modeling, and strategic business initiatives. • Engage with Marketing to evaluate campaign performance and support attribution analysis across the full funnel. • Maintain data integrity across CRM and BI systems; identify and resolve data inconsistencies to ensure high‑quality reporting. • Define and document standard KPIs, reporting frameworks, and data dictionaries used across the revenue organization.

Aidaptive is powering the next generation of digital commerce with an end-to-end autonomous intelligence platform. The company was founded as Jarvis ML in 2021 by Rakesh Yadav, who led the Machine Learning Operations platform development for Google Ads and Payments.  Aidaptive's team has more than 50+ years of combined machine learning experience and is funded by Dell Technologies Capital, SHAKTI and more than a dozen veteran Silicon Valley technologists and business leaders. We are looking for an experienced Revenue Operations professional to establish a world class Enterprise SaaS Revenue Operations function that will: Own the revenue forecasting process, pipeline analysis, productivity metrics and monitoring; ARR management, Net Revenue Retention tracking Establish high levels of quality, accuracy, and process consistency in planning and forecasting approaches used by the sales and success organizations Provide analytical support and leadership to improve strategies, coverage models and sales and success team configurations and hiring plans to support our growth objectives Own our Hubspot implementation as a single and key platform for collaboration across Sales, Customer Success, Solutions Engineering, Legal and Finance. Partner with Marketing, Sales Development, Sales and Customer Success to identify opportunities for process improvement and deliver sales and revenue retention forecast models Partner with Finance and Legal to build out a world class deal desk process and team Create the framework for instrumenting and continuously improving the executing of our lead to opportunity to closed won funnel Develop a central set of KPIs to track sales and success team results and identify opportunities for improvement. Own the process, tooling and execution of variable compensation plans across Sales, CS and Solutions Engineering Ideal Qualifications: