14 дней назад
Senior Staff Product Manager (AI)
189 500 - 256 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Product Manager (AI): Owns the roadmap for an AI-powered Digital Assistant and Voice experience connecting customers with tax, bookkeeping, and accounting professionals, with an accent on conversational AI, voice interfaces, and trusted customer experiences. Focus on translating behavioral data and experimentation into product bets, scaling 0-to-1 platforms, and applying LLMs, retrieval-augmented generation, and intent classification across a global product ecosystem.
Location: San Diego, California or Mountain View, California, United States
Base pay: $189,500–$256,000 in San Diego; $205,500–$278,000 in Mountain View, plus cash bonus, equity rewards, and benefits.
Company
is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Define and own the product roadmap for an AI-powered Digital Assistant and Voice experience.
- Improve connections between customers and tax, bookkeeping, and accounting professionals.
- Partner with engineering, design, data science, and operations teams to deliver platform synergies.
- Use customer insights, behavioral data, and rapid experimentation to prioritize product investments.
- Introduce capabilities from conversational AI, voice, and large language model technologies.
- Translate the platform vision into milestone-driven execution across cross-functional teams.
Requirements
- 8+ years of product management experience delivering consumer or enterprise SaaS products.
- Experience with applied AI, conversational AI, or voice experience platforms.
- Experience taking products from 0 to 1 and scaling them through end-to-end delivery.
- Strong knowledge of AI and ML concepts, including large language models, conversational interfaces, retrieval-augmented generation, and intent classification.
- Strong data skills, including behavioral analysis, experimentation, and cohort analysis.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent professional experience.
Nice to have
- MBA.
Culture & Benefits
- Work with distributed teams across ’s global product ecosystem.
- Build products designed to serve customers and credentialed professionals across geographies.
- Competitive pay-for-performance compensation approach.
- Cash bonus, equity rewards, and employee benefits.
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