- Страна
- США
- Зарплата
- 150 000 $ – 220 000 $
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Data Manager
Высокая заработная плата, отличный пакет льгот (питание, страховка, опционы) и работа над социально значимым продуктом. Однако требование работы в офисе 5 дней в неделю может подойти не всем.
Сложность вакансии
Роль требует сочетания управленческих навыков и глубокой технической экспертизы (SQL, Python). Высокая планка ответственности из-за работы с чувствительными медицинскими данными и работы в офисе 5 дней в неделю.
Анализ зарплаты
Предлагаемый диапазон $150k – $220k полностью соответствует и даже немного превышает рыночные стандарты для позиции Data Manager в Сан-Франциско, особенно учитывая щедрый пакет бонусов и акций.
Сопроводительное письмо
I am writing to express my strong interest in the Data Manager position at Mochi Health. With over four years of experience in data analytics and a proven track record of leading technical projects, I am excited about the opportunity to drive execution within your data team. My background in reviewing complex SQL and Python code, combined with a deep commitment to data privacy and security, aligns perfectly with Mochi’s mission to provide transparent and accessible healthcare.
In my previous roles, I have successfully bridged the gap between technical execution and business strategy, ensuring that data initiatives directly support company-wide KPIs. I am particularly impressed by Mochi’s patient-first approach and your use of AI-driven tools to streamline healthcare. I am eager to bring my experience in managing analytics workflows and my passion for high-impact, mission-driven work to your world-class team in San Francisco.
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Присоединяйтесь к Mochi Health в Сан-Франциско и станьте ключевым звеном в трансформации цифрового здравоохранения!
Описание вакансии
Healthcare is broken at the first step: patients can't find the right care, understand what it costs, or access the medications they need. Mochi Health is fixing this.
We're building an AI-driven marketplace that makes healthcare discoverable—connecting patients to the right providers, transparent pharmacy pricing, and affordable medications. Over the past few years, we've grown rapidly by combining clinical expertise with technology that actually works for real people, not just hospital systems.
Our platform does what legacy healthcare can't: it gives patients transparent pricing before they pay, personalized medication management that follows them across providers, and long-term access to their own medical records. We're proving that healthcare can be more affordable, more human, and far more intuitive than what exists today.
Join a team that's rebuilding healthcare from the patient up. At Mochi Health, you'll work alongside people who value bold thinking, inclusive collaboration, and getting meaningful work into the world. If you want to do the most impactful work of your career, this is where to do it.
$150,000 - $220,000
Full-time / Onsite (5 days/week)
About The Role
We’re hiring a high-judgment, execution-oriented Data Manager to run the Data team day to day. This person will drive execution across analytics, data engineering, and operational data work; ensure team goals stay tightly aligned to company priorities; track the KPIs that matter most; and help the team focus on the highest-leverage work across the business.
This is a people-and-execution role with real technical depth. The right person can review SQL and Python code, pressure-test technical approaches, and help the team make smart, durable tradeoffs around speed, quality, and complexity. You should also be comfortable using modern AI tools to move faster on analysis, project execution, documentation, and code review.
What You’ll Do
- Manage the day-to-day execution of the Data team, ensuring projects are well scoped, prioritized, and delivered on time
- Set clear goals for team members, track progress against those goals, and maintain visibility into key team and business KPIs
- Partner with stakeholders across product, engineering, operations, growth, finance, and leadership to translate business needs into high-quality data work
- Review technical work including SQL, Python, dashboards, data models, and design docs to maintain quality, reliability, and appropriate handling of sensitive data
- Support hiring, onboarding, and development of team members
- Help ensure data practices meet privacy, security, and compliance requirements, including access controls, safe data usage, and audit-ready processes
Who You Are
- 4+ years of experience in data or analytics roles, with experience leading projects, driving execution, and reviewing technical work.
- Experience managing technical or analytics work, either as a people manager or as a high-ownership tech lead with strong cross-functional influence
- Ability to read and review code, especially SQL and Python, and give useful feedback on technical quality, scope, and reliability
- Sound judgment around data privacy, security, and compliance, especially in environments with sensitive user or patient data
- Highly organized, operationally strong, and comfortable using AI tools to move faster, improve team leverage, and raise the bar across analysis, execution, documentation, and code review
Bonus Points
- Experience managing analysts, analytics engineers, or data engineers
- Experience building KPI frameworks, operating cadences, or leadership reporting
- Experience in healthcare, fintech, or another operationally complex, high-accountability environment
Life at Mochi 💫
At Mochi, we believe your best work happens when you feel your best—so we’ve designed an environment that fuels your creativity, supports your growth, and makes every day exciting.
🥗 Daily Meals and Espresso Bar -Breakfast, lunch, and dinner every weekday. Our on-site barista keeps the espresso and matcha flowing all day
💰 Pre-Tax Commuter Perks -Save on transit and parking through pre-tax commuter benefits
💸 Top-of-Market Compensation -We offer competitive salaries along with generous equity packages so you can share in the success you help create
💣 Profitable and Rapid Growth -We’re scaling fast, with financial discipline and long-term vision. No VC constraints, just sustainable momentum and smart decisions
🚀 High-Impact Work -Help shape the future of digital healthcare. Your work here directly improves lives and scales nationwide
👩💻 World-Class Team -Collaborate with teammates from Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal measure
✨ Comprehensive Benefits -401(k) with match, generous time off, life insurance, and high-quality medical, dental, and vision plans.
🌴 Time to Recharge–Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive.
🧘 Wellness First–From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority
🎉 Team Socials and Community -We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn’t hurt either
📍 Downtown SF HQ -Our San Francisco office is just steps from BART, Muni, and great food. It’s designed for deep work and casual collaboration
#LI-Onsite
The base salary for this full-time position ranges from $150,000 to $220,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.
Workplace Policy
Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve.
Equal Opportunity
Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.
Candidate Privacy Notice
Please review Mochi Health's Candidate Privacy Notice here.
Accommodations
Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.
If you need any assistance or accommodations due to a disability, please contact us at hr@joinmochi.com.
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Навыки
- SQL
- Python
- Data Analysis
- Data Engineering
- Analytics Engineering
- Project Management
- Data Privacy
- Compliance
- KPI Frameworks
- AI Tools
Возможные вопросы на собеседовании
Проверка технической компетенции и способности поддерживать качество кода в команде.
Расскажите о вашем опыте проведения code review для SQL и Python: на какие аспекты производительности и безопасности вы обращаете внимание в первую очередь?
Оценка навыков приоритизации в быстрорастущем стартапе.
Как вы подходите к приоритизации задач, когда запросы от отделов продукта, финансов и операций поступают одновременно и кажутся одинаково важными?
Проверка понимания специфики работы с медицинскими данными.
Какие меры предосторожности и стандарты комплаенса вы считаете критическими при управлении данными пациентов?
Оценка опыта работы с современными инструментами.
Как именно вы используете AI-инструменты в своей повседневной работе для ускорения анализа или документирования процессов?
Проверка лидерских качеств и умения выстраивать процессы.
Опишите случай, когда вам пришлось принимать сложное решение о компромиссе между скоростью доставки данных и их идеальным качеством. Каков был результат?
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- Страна
- США
- Зарплата
- 150 000 $ – 220 000 $