Senior Solutions Manager, Life Science

WHAT IS BOX?

Box (NYSE:

BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations.

With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

Box is the Content Cloud: the secure, intelligent platform that powers how the world's best companies work with content. Our customers in Life Sciences run mission‑critical, regulated workflows on Box‑GxP, regulatory submissions, and MLR review. We're investing in a solutions portfolio that packages repeatable, industry‑grade workflows to accelerate adoption and deliver measurable outcomes.

We're looking for a Solutions Product Leader to define, build, and scale customer‑abstracted solutions for Life Sciences (LS). You will translate real customer signals into repeatable designs, lead cross‑functional teams to bring them to market, and manage the portfolio with rigor so our customers adopt faster and realize more value.

• Intake and synthesize signals from customer conversations, field feedback, and Solution Engineering demos to identify and size high‑impact solution opportunities.
• Provide vertical expertise on Life Science best practices and design compliant, customer‑abstracted solution blueprints and Bills of Materials.
• Lead cross‑functional, scrum‑like work streams with Product, PMM, Solution Engineers, Services/Consulting, and Partners to build, package, and launch solutions.
• Define and prioritize the solution backlog; make data‑driven decisions on tiering, scaling, maintenance, and pruning across the portfolio.
• Partner with Services to create implementation packages that accelerate time‑to‑adoption and ensure consistency in delivery.
• Monitor adoption, pipeline influence, win rate, cycle time, deal size, ARR/AI consumption, WAUs, and time‑to‑adoption; course‑correct based on insights.
• Close the loop with Product by documenting functionality gaps, repeatable patterns, and proposed specs for productization.
• Champion regulated workflow requirements and integration patterns across APIs, metadata models, and IDP/AI use cases.

We are an AI‑first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 5 plus years hands‑on experience in Life Sciences workflows.
• Deep understanding of core clinical trial workflows, best practices, and industry tech stack.
• Background in implementation consulting, solutions architecture, product/program management, or industry operations with systems/process ownership.
• Proven ability to translate complex workflows into scalable solution definitions, clear specs, and system requirements.
• Track record leading multidisciplinary initiatives with technical and non‑technical stakeholders; comfortable running multiple concurrent tracks.
• Strong written clarity for specifications, definitions, and portfolio documentation; skilled at simplifying complexity.
• Data‑driven operator with experience managing KPIs such as pipeline influence, win rate, cycle time, deal size, ARR/AI consumption, WAUs, and time‑to‑adoption.
• Familiarity with enterprise…