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SeniorГибридПолная занятость

Senior Solutions Manager, Life Science

Оценка ИИ

Высокая заработная плата, работа в публичной технологической компании-лидере и фокус на передовых технологиях ИИ делают эту вакансию крайне привлекательной. Единственным ограничением может быть требование посещения офиса 3 дня в неделю.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокой экспертизы в узкой нише Life Sciences (GxP, клинические исследования) и навыков управления продуктовым портфелем. Высокая планка ответственности за KPI и необходимость работы в гибридном режиме в штаб-квартире повышают сложность отбора.

Анализ зарплаты

Медиана195 000 $
Рынок175 000 $ – 225 000 $
Оценка ИИ

Предлагаемый диапазон $181k – $219k полностью соответствует рыночным ожиданиям для позиций уровня Senior Solutions Manager в Кремниевой долине. Верхняя граница диапазона даже несколько превышает средние показатели, что отражает высокую ценность узкоспециализированных знаний в Life Sciences.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Solutions Manager position for Life Sciences at Box. With over six years of experience in implementing GxP-compliant workflows and managing complex regulatory submissions, I have a proven track record of bridging the gap between technical capabilities and industry-specific business needs. My background in solutions architecture and deep familiarity with clinical trial tech stacks align perfectly with Box's mission to power the Content Cloud for regulated industries.

In my previous roles, I have successfully led cross-functional teams to deliver scalable solution blueprints that reduced time-to-adoption for enterprise clients. I am particularly excited about Box's AI-first approach and the opportunity to leverage intelligent content management to streamline MLR reviews and IDP use cases. I am confident that my data-driven mindset and expertise in Life Sciences best practices will allow me to contribute immediately to the growth and success of your solutions portfolio.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в boxinc уже сейчас

Присоединяйтесь к лидеру в области интеллектуального управления контентом и трансформируйте рабочие процессы в Life Sciences с помощью ИИ!

Описание вакансии

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.

WHY BOX NEEDS YOU

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.

WHAT YOU'LL DO

  • 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 workstreams 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.

WHO YOU ARE

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.

+ GxP, regulatory submissions, MLR reviews, clinical trial, etc

  • 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 multi‑disciplinary 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 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 lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here.

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out ourhealthcare benefitsand additionalBox Benefits + Perks.

In accordance with OFCCP compliance, here is the Pay Transparency Provision.

United States Pay Range

$181,000—$219,000 USD

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Project Management
  • Product Management
  • Artificial Intelligence
  • Life Sciences
  • SaaS
  • API
  • Solutions Architecture
  • Metadata Management
  • Regulatory Submissions
  • GxP
  • Clinical Trials Systems

Возможные вопросы на собеседовании

Проверка практического опыта работы с регуляторными требованиями в Life Sciences.

Опишите ваш опыт проектирования решений, соответствующих стандартам GxP и требованиям FDA. С какими основными сложностями вы сталкивались?

Оценка способности кандидата превращать частные запросы клиентов в масштабируемые продукты.

Как вы подходите к процессу абстрагирования специфических требований одного клиента в повторяемый шаблон решения (blueprint) для всего рынка?

Проверка навыков взаимодействия с техническими и бизнес-командами.

Расскажите о случае, когда вам нужно было убедить команду разработки (Product) внедрить функционал, необходимый для вертикали Life Sciences, который не был в их приоритетах.

Оценка аналитических способностей и работы с метриками.

Какие KPI вы считаете наиболее критичными для оценки успеха отраслевого решения, и как вы используете данные для принятия решения о выводе продукта из портфеля?

Проверка видения будущего отрасли и технологий ИИ.

Как, по вашему мнению, генеративный ИИ может радикально изменить процессы рецензирования маркетинговых материалов (MLR) в фармацевтических компаниях в ближайшие 2 года?

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boxinc
Страна
США
Зарплата
181 000 $ – 219 000 $