Senior Manager, Sales Operations

Position Summary

Senior Manager, Sales Operations & Machine Learning role joining a semiconductor business to advance data-driven sales capabilities. This position is an individual contributor role with equal focus on Sales Operations (60%) and Machine Learning initiatives (40%), operating in a highly collaborative, team-oriented environment partnering with sales, finance, product, marketing, and engineering teams.

Machine Learning & Advanced Analytics (40%)

• Identify opportunities to apply machine learning and advanced analytics to sales and business challenges
• Develop and deploy models such as demand forecasting, predictive revenue crawl charts and scenario testing
• Partner with IT to build scalable data and ML solutions
• Translate complex analytical outputs into actionable business insights
• Drive adoption of ML-driven tools through close collaboration with sales and business stakeholders
• Help foster a data-driven culture across the organization

Sales Operations (60%)

• Collaborate with cross-functional teams to improve CRM processes, data quality, and adoption
• Partner with Sales Operations team to drive sales forecasting, pipeline management, and reporting to improve visibility and predictability
• Identify and implement process improvements and automation to enhance sales efficiency
• Develop and maintain KPIs, dashboards, and executive reporting to support decision-making
• May support pricing strategy, deal structuring, revenue analysis and sales operations initiatives

Required Experience

• 5–7+ years of experience in Sales Operations, Revenue Operations, Business Analytics, or related roles, preferably within semiconductor, hardware, or enterprise technology companies
• Hands-on experience applying machine learning, predictive analytics, or advanced statistical modeling in a business context
• Experience deploying or operationalizing ML models into Business Intelligence Tools (such as Incorta)
• Strong experience with sales forecasting, pipeline management, and revenue analytics, ideally in long and complex sales cycles
• Proven ability to work with large, complex datasets, including integrating data from CRM, ERP, and external sources (e.g., distributor or market data)
• Experience with CRM and sales systems, particularly Salesforce, and familiarity with ERP platforms such as SAP or Oracle
• Demonstrated ability to translate analytical insights into business recommendations and influence senior stakeholders
• Experience partnering cross-functionally with Sales, IT, Marketing, Finance, and Operations teams in a global environment and within a highly collaborative Sales Operations team
• Comfortable influencing senior stakeholders across global sales and operations
• Strong understanding of forecasting methodologies, including time series analysis, regression models, and scenario planning

Preferred Experience

• Experience working with semiconductor distribution channels
• Experience as a “player-coach” in transformation roles
• Familiarity with demand planning or S&OP processes
• Experience supporting global sales organizations

Salary: The starting annual base pay for this role ranges between USD $140,000.00 and $180,000.00. The actual base pay is dependent on various factors, including training, transferable skills, work experience, business needs, and market conditions.

Location: San Jose, CA with hybrid work requirement (on-site presence required). The role is eligible for variable bonus programs and benefits.