Senior Solution Portfolio Manager, Life Sciences

Overview

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. Box helps companies thrive in the new AI-first era of business and serves global organizations from offices worldwide.

By joining Box, you will have the opportunity to continue driving our platform forward. Content powers how we work: 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 customers to transform workflows across their organizations.

Box is the Content Cloud: a secure, intelligent platform that powers how the world’s best companies work with content. Our Life Sciences customers 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. 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 SE demos to identify and size high-impact solution opportunities.
• Provide vertical expertise on Life Sciences best practices and design compliant, customer-abstracted solution blueprints and Bills of Materials.
• Lead cross-functional, scrum-like work streams with Product, PMM, SEs, 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 and value a growth mindset. This role focuses on leveraging AI to help make faster, smarter decisions and maximize impact at Box.

• 5+ years hands-on experience in Life Sciences workflows, including GxP, regulatory submissions, MLR reviews, quality, and R&D.
• Deep understanding of core Life Sciences 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 multi-disciplinary initiatives with technical and non-technical stakeholders; able to manage multiple concurrent tracks.
• Strong written clarity for specifications, definitions, and portfolio documentation; ability to simplify 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 SaaS in regulated contexts, integration patterns/APIs, metadata models, and IDP/AI (classification, extraction, redaction).
• Bonus:
  Experience with partner delivery models or professional services; exposure to FINRA/SEC, GxP, FDA, or similar regulatory frameworks.

Box is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic. We strive to create an inclusive interview experience and to ensure accessibility wherever feasible.