Business Intelligence Manager, AMS

MaxLinear•San Jose, CA

About The Position

MaxLinear is seeking a Business Intelligence Manager to join its Analog and Mixed-Signal (AMS) business team. The role partners with Product Line Management, Sales, Sales Operations, Marketing, Finance, and Manufacturing Operations to support data-based decisions, demand planning, pricing execution, revenue growth, and operational excellence. The manager leads forecasting and business reporting, analyzes demand and channel conditions, supports pricing and revenue execution, and develops dashboards and decision frameworks to improve forecast accuracy and cross-functional execution.

Requirements

Semiconductor industry experience.
Demonstrated experience in business operations, sales operations, pricing, demand planning, product marketing, or related roles within the semiconductor industry.
Strong analytical capability and ability to turn bookings, billings, backlog, inventory, pricing, and opportunity data into clear insights and recommendations.
Experience developing demand assessments, revenue outlooks, pricing quotations, and gross margin analysis.
Ability to create effective executive-level presentations and communicate complex business issues clearly to management.
Track record of success in fast-paced, results-driven business operations, tactical marketing, demand planning, or revenue execution environments.
Ability to prioritize competing business needs, manage multiple workstreams, and collaborate across Product Management, Sales, Finance, Operations, and Marketing.
High proficiency in Microsoft Excel and PowerPoint.
Excellent written and verbal communication skills, follow-through, ownership, and attention to detail.
Ability to operate independently, drive cross-functional alignment, and escalate issues with fact-based recommendations.
Bachelor’s degree in Business, Finance, Marketing, Engineering, Operations, or a related field, plus 8 years of experience; or a master’s degree plus 6 years of experience.

Nice To Haves

Prior experience in sales, sales operations, or distribution/channel management is strongly preferred.
Experience with business intelligence tools, CRM systems, ERP systems, or pricing tools is a plus.

Responsibilities

Lead the business unit’s quarterly demand forecasting process, consolidating regional inputs, opportunity assumptions, inventory positions, and product line priorities.
Provide raw material and product demand forecasts in coordination with Marketing, Product Management, Manufacturing Operations, and Supply Planning.
Support Product Line Managers and Marketing Managers with business analysis, pricing models, opportunity tracking, revenue forecasts, and management reporting.
Manage sample request reviews, special pricing requests, and price quote escalations while maintaining business discipline.
Partner with regional sales teams to identify revenue opportunities, channel programs, and customer growth initiatives.
Apply knowledge of semiconductor sales and distribution models, including MPP, POP, POSC, forecast consumption, channel inventory, and point-of-sale trends.
Evaluate channel inventory, available-to-ship supply, and customer demand signals, and recommend actions to accelerate regional revenue growth.
Develop and recommend product pricing actions to support quarterly revenue targets, gross margin objectives, and competitive positioning.
Align with Sales Operations on ship schedules, backlog coverage, revenue pacing, allocation priorities, and gross margin impact.
Prepare weekly business performance reports covering bookings, billings, backlog, revenue outlook, quote activity, opportunity funnel, channel inventory, and key customer actions.
Conduct quarterly business reviews and trend analysis to identify risks, opportunities, pricing actions, and operational improvements.
Track top customer opportunities with the sales organization, including next steps, owners, timing, and revenue impact.
Coordinate quarterly opportunity funnel reviews with regional sales teams and provide actionable insights to business unit leadership.
Support the creation, maintenance, and governance of product column pricing; conduct competitive pricing analysis and recommend adjustments.
Build scalable dashboards, operating rhythms, and decision frameworks to improve forecast accuracy, pricing responsiveness, and cross-functional execution.