Director of Engineering, Product
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director of Engineering, Product (AI-first analytics): Lead Product Engineering owning core analysis experiences, growth infrastructure, and platform capabilities with an accent on AI-powered product analytics, scalability, and revenue impact. Focus on building next-generation AI-first products, driving technical strategy, and partnering with Product and Design for execution.
Location: San Francisco, US (Hybrid). Team distributed across North America with clusters in San Francisco and New York.
Salary: $320,000–$400,000 USD (total target cash compensation)
Company
AI-first digital analytics platform trusted by 29,000+ companies, combining product/web analytics, session replay, experimentation, feature flags, and metric trees.
What you will do
- Lead multiple engineering teams across product areas, developing people and holding high execution standards.
- Build AI-first product analytics for next-generation software experiences.
- Hire, coach, and foster culture of ownership and pride in shipped work.
- Shape direction with Product and Design, turning ideas into focused execution.
- Set technical bar, empower tech leads, and protect owned systems.
- Drive strategies for customer and business value, including technical evolution for long-term vision.
- Partner with Design, Product, and GTM to launch capabilities.
Requirements
- 10+ years engineering experience; 4+ years leading teams of 50+, including managing managers
- Proven track record building and shipping customer-facing web applications at scale
- Experience building AI-powered products as core part of production systems
- Strong collaboration with product managers and designers on user-facing work
- Strong judgment in technical tradeoffs with proven lessons
- Leadership through influence, alignment, and growing others
- Skilled at navigating ambiguity, tradeoffs, and complex org structures
- High ownership, accountability, and product instinct
- Practical use of AI in work
Culture & Benefits
- Autonomous product pods with engineering, product, and design side-by-side, direct customer feedback access
- Start with customer problems, reason from first principles, aim for simple solutions
- Engineering owns execution, quality, operations; no PMs, QA, or separate SREs
- Value written thinking, dashboards, demos; tools like Slack, GitHub, , Notion, Figma, Zoom
- Comprehensive medical, vision, dental; mental wellness; generous vacation, company holidays; enhanced parental leave; volunteer time off
- Additional US Benefits: Pre-Tax including 401(K), Wellness Benefit, Holiday Break
Hiring process
- Recruiter can share specific salary range details based on experience and qualifications
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