Revenue Operations Manager

Maya HTT

4d•Hybrid

About The Position

Maya HTT is a world leading software developer and engineering solutions provider focused on CAE, CAD, CAM and PLM. A long-time partner of Siemens Digital Industries Software, Maya HTT collaborates in providing software, AI, and engineering services to help clients and partners worldwide boost performance, improve quality, drive down costs, and harness the value of their data. We’re on a journey of growth and transformation - expanding our portfolio of services, products, and partnerships to deliver unified, market-driven solutions that make a measurable impact. Role Summary: The Revenue Operations Manager is responsible for optimizing the company’s end-to-end revenue engine across systems, data, and processes. This role partners closely with Sales, Operations, Marketing, Pre-Sales, and Services leadership to design scalable processes, improve forecasting accuracy, and deliver actionable insights that drive business performance. The successful candidate will take a proactive, ownership-driven approach—identifying opportunities, challenging assumptions, and continuously improving how the organization operates. The role also oversees the evolution of the company’s revenue technology ecosystem (including CRM and adjacent platforms), ensuring systems are connected, efficient, and enable data-driven decision-making. This is a senior individual contributor role with broad cross-functional impact. The ideal candidate is a builder-operator: technically curious, commercially sharp, automation-oriented and comfortable using AI to deliver practical solutions quickly.

Requirements

5+ years of experience in Revenue Operations, Sales Operations, or a similar role
Proven experience working with and optimizing CRM and revenue systems (e.g., Salesforce or similar) in a B2B environment
Experience managing or influencing a revenue technology stack (CRM, marketing automation, and related tools)
Strong understanding of sales processes, pipeline management, and forecasting
Demonstrated ability to translate business needs into scalable systems and process improvements
Experience building reports, dashboards, and data models to support decision-making
Strong analytical and problem-solving skills with a data-driven mindset
Excellent stakeholder management and communication skills
Ability to operate both strategically and hands-on in a fast-paced environment

Nice To Haves

Experience in a SaaS, software, or engineering services environment
Familiarity with system integrations, automation, and data architecture

Responsibilities

Own the sales revenue systems ecosystem, ensuring alignment with business needs and growth objectives
Define and manage a technology roadmap across CRM and adjacent tools (e.g., marketing automation, sales engagement, collaboration platforms)
Evaluate and recommend new tools and capabilities to enhance the revenue tech stack
Translate business requirements into system and process design, partnering with IT for implementation where appropriate
Own the day-to-day health, architecture, and continuous improvement of Salesforce. This includes object design, fields, workflows, automations, integrations, data quality, permissions and the handoffs between Marketing, Sales, Customer Success and Finance
Act as the bridge between business and IT, ensuring systems support business processes and outcomes
Partner with Sales, Pre-Sales, Sales Operations, Marketing, and Services leadership to define and optimize go-to-market processes
Map and continuously improve the end-to-end revenue lifecycle (lead to opportunity to delivery and beyond)
Design AI-enabled workflows that reduce manual work and improve GTM execution. This may include account research, lead enrichment, territory/account matching, inbound routing, outbound personalization, follow-up automation, and sales-assist workflows
Act as a strategic advisor - challenging and refining stakeholder requests to ensure scalable, high-impact solutions
Evaluate, implement, and optimize GTM tools that improve speed, data accuracy, rep productivity, and revenue visibility
Define, develop, and maintain key performance metrics and KPIs
Build and maintain dashboards and reports to track pipeline health, conversion rates, and overall performance
Analyze data to identify trends, risks, and opportunities, and provide actionable insights to leadership
Support performance reviews, planning cycles, and strategic decision-making
Establish and maintain data standards to ensure accuracy, consistency, and completeness
Implement processes for ongoing data hygiene, validation, and governance
Support onboarding of new team members through training on systems, tools, and processes
Ensure teams are effectively leveraging revenue systems and tools
Continuously improve user experience, adoption, and overall system effectiveness