Position Summary

We are looking for a Senior Manager, Sales Operations & Machine Learning to join our semiconductor business and play a critical role in advancing our data-driven sales capabilities. This position is an individual contributor role with equal focus on Sales Operations (60%) and Machine Learning initiatives (40%). This position joins a high performing and experienced Sales Operations team. You will operate in a highly collaborative, team-oriented environment, partnering closely with sales, finance, product, marketing, and engineering teams. Success in this role requires both strong analytical expertise and the ability to influence and collaborate across a global, matrixed organization.

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.

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. This range is subject to change and may be adjusted in the future.

This position is open to candidates based in San Jose, CA with a hybrid work requirement (on-site presence required). The role is also eligible for variable bonus programs and benefits.