Sales Strategy Manager

Box•Redwood City, CA

1d•Hybrid

About The Position

Box is seeking a strategic, analytical, and highly motivated Manager, Commercial Sales Strategy and Operations, to help shape its go-to-market motion across Demand Generation, SMB, Mid-Market, and Online Sales. In this high-visibility role, the individual will partner closely with Sales and Marketing leaders to support a highly efficient, data-driven revenue operation. The work will span the entire funnel, from top-of-funnel and self-serve PLG through SMB and Mid-Market deal execution. The role involves bringing structure to complex business questions and processes, supporting rigorous forecasting, pipeline monitoring, and planning cadences, and developing the analyses and recommendations that inform leadership decision-making. The ideal candidate is a strategic and practical problem-solver who can balance structured analysis with the urgency and ambiguity of a dynamic sales organization. A strong understanding of SaaS sales mechanics and an interest in product-led motions, along with the ability to translate complex data into clear, actionable insights, is expected. The role requires excelling at building rigorous frameworks, communicating effectively with senior stakeholders, and driving meaningful impact at scale.

Requirements

4–6 years of experience in Sales Operations, Revenue Operations, GTM Strategy, Investment Banking, or Management Consulting, with a strong preference for experience in SaaS or technology.
Demonstrated understanding of sales and revenue mechanics, including pipeline generation, forecasting, conversion, sales capacity, and performance management.
Experience supporting high-velocity sales segments, particularly Mid-Market and SMB.
Familiarity with Product-Led Growth (PLG), Demand Generation, and the handoffs between Marketing, Product, and Sales is strongly preferred.
Exceptional analytical rigor and the ability to translate complex datasets into clear, executive-level narratives.
Foundational understanding of CRM architecture, such as Salesforce, and the key metrics relevant to SaaS companies.
Strong baseline fluency in AI and a practical understanding of how to use emerging AI tools to improve day-to-day efficiency and analysis.
Intensely pragmatic approach to problem-solving, naturally defaulting to building structured frameworks, identifying root causes, and driving measurable execution when faced with ambiguity or broken processes.
Ability to communicate clearly with senior stakeholders, ask thoughtful questions, influence without formal authority, and build alignment across teams.
High integrity and bias to action; take ownership of assigned workstreams and operate with urgency, sound judgment, and an objective, data-backed perspective.
Consistently follow through and do what is right for the business.

Nice To Haves

AI-first mindset, approaching work with a growth mindset and finding ways to leverage AI to make faster, smarter decisions.

Responsibilities

Support the rhythm of business by helping establish and manage rigorous operational cadences, including weekly forecasting, pipeline reviews, and Quarterly Business Reviews (QBRs).
Drive consistent reporting, preparation, and follow-through across Commercial teams.
Develop analyses and recommendations that inform territory design, account prioritization, capacity planning, and resource allocation.
Connect insights across Demand Generation, PLG activity, and sales execution to unify the Commercial funnel.
Identify root causes behind performance gaps and customer friction, and help design scalable operational, analytical, and tooling solutions.
Own recurring reporting and ad hoc analysis required to track business performance and pipeline health.
Translate complex data into clear, actionable insights that inform leadership’s daily decisions and longer-term strategy.
Analyze the buyer journey and sales funnel to identify bottlenecks and opportunities for improvement.
Help implement structured workflows that reduce operational friction and improve sales velocity, win rates, and conversion efficiency from lead to closed-won.
Partner with Commercial Sales, Marketing, Strategic Finance, and other cross-functional stakeholders to align on shared OKRs, standardized metrics, and coordinated go-to-market motions.
Translate ambiguous business questions into structured analyses and frameworks that support the growth of the Commercial business.
Partner with Sales and Marketing leaders to turn recommendations into practical programs and initiatives.
Identify and help operationalize practical AI-driven workflows across the Commercial funnel to improve team productivity.
Use AI to automate routine tasks and surface faster, deeper insights into sales and marketing performance.
Become a trusted thought partner to leaders across Sales and Marketing by delivering high-quality work, communicating clearly, and consistently following through on commitments.