14 часов назад
Principal Product Manager
240 000 - 301 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Product Manager (AI-native Financial Automation): Guiding enterprise SaaS products from conception to launch to improve the financial close and record-to-report process with an accent on product strategy, market specialization, and AI-assisted workflows. Focus on building machine learning-based capabilities, developing multi-year business cases, and influencing executive decisions through data and strategic systems thinking.
Location: Los Angeles; candidates within a reasonable commute to a office must work in the office at least 3 days a week
Salary: $240,000–$301,000 per year, plus eligible short- and long-term incentive programs and benefits.
Company
is a technology company providing finance automation and enterprise SaaS solutions for improving the financial close process.
What you will do
- Guide products through the software development lifecycle from conception to launch.
- Own multi-year strategy and business outcomes for a major product area or portfolio.
- Develop and position solutions for new and existing enterprise customers across vertical, regional, and specialized markets.
- Build product vision and alignment with engineers, designers, marketers, customers, and internal stakeholders.
- Shape AI-assisted and automated workflows, including confidence thresholds and human-in-the-loop review.
- Use market insight, data, storytelling, and business cases to influence executive and board-level decisions.
Requirements
- 15+ years of product management experience, including major launches of highly scaled or 0-to-1 products.
- Experience owning strategy and business outcomes for a major product area or portfolio.
- Proficiency in Agile methodologies and tools such as Jira, Jira Product Discovery, Confluence, and Pendo or similar product analytics platforms.
- Strong proficiency with AI tools such as Claude, Gemini, or ChatGPT.
- Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience.
- Deep understanding of financial close and record-to-report requirements, enterprise SaaS go-to-market, pricing, packaging, and financial modeling.
Nice to have
- Experience taking horizontal enterprise products into vertical, regional, or specialized markets.
- Working knowledge of accounting or finance.
- Experience building products within AI-native, agentic platforms and partnering with Data Science teams on machine learning capabilities.
Culture & Benefits
- Inclusive, open, and accepting workplace culture.
- Professional development seminars and learning opportunities.
- Inclusive affinity groups supporting diversity and belonging.
- Short-term and long-term incentive programs based on eligibility.
- Benefits and wellness plans.
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