3 дня назад
Manager, Software Engineering - Data Platform
258 000 - 376 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Software Engineering - Data Platform (data infrastructure): Lead the development and operation of a scalable data platform supporting business metrics, product analytics, applied AI, and experimentation systems with an accent on technical direction, reliability, and team growth. Focus on scaling production data infrastructure, setting long-term platform strategy, and building high-performing engineering teams through hiring and coaching.
Location: Remote within the United States or onsite from hubs in San Francisco, CA, or New York, NY. In-person onboarding is required if hired.
Annual base salary: $258,000–$376,000 USD.
Company
Design and collaboration software company building tools that help teams create, prototype, translate designs into code, and work together in real time.
What you will do
- Lead and grow engineers building and operating the data platform, owning delivery, technical direction, and team health.
- Set the roadmap and technical strategy while providing hands-on technical leadership when needed.
- Drive platform reliability, scalability, and long-term evolution as adoption grows.
- Hire, coach, and develop engineers and tech leads while building an inclusive, high-performing team.
- Partner with Data Science, Product, Finance, and Engineering to align priorities and drive execution.
- Evaluate build-versus-buy decisions and manage platform vendors where appropriate.
Requirements
- 3+ years of experience managing engineers, including senior individual contributors or tech leads.
- Experience building and scaling production data platforms or data infrastructure systems.
- Strong software engineering background with senior- or staff-level technical depth.
- Ability to set technical direction, prioritize under ambiguity, and drive cross-functional alignment.
- Strong written communication and stakeholder management skills.
- Must be based in the United States for remote work, or work from a US hub.
Nice to have
- Experience with large-scale batch or streaming data processing and applied AI or ML workloads.
- Experience with experimentation or feature flagging platforms.
- Experience evaluating and managing vendors.
- Experience hiring at pace and growing tech leads.
Culture & Benefits
- Equity and competitive employee benefits package.
- Health, dental, and vision coverage with retirement contributions.
- Parental leave, reproductive and family planning support, and mental health benefits.
- Paid time off, sick leave, holidays, and flexible PTO for eligible exempt employees.
- Potential recharge days, home internet and cell phone reimbursements, and lifestyle spending accounts.
- Commitment to equal opportunity, inclusion, and reasonable accommodations.
Hiring process
- Qualifications, skills, experience, potential impact, and role scope are assessed during interviews.
- Video interviews require candidates to keep their cameras on.
- In-person onboarding is required after hire.
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