2 дня назад
Senior Product Manager, Intelligence (AI)
148 000 - 231 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Intelligence (AI): Building and owning AI-powered intelligence products that use machine learning and statistics to optimize marketers’ decisions, with an accent on model quality, trustworthy AI, and measurable customer uplift. Focus on defining product strategy, improving recommendation and decisioning experiences, and launching products that connect adoption and retention to revenue impact.
Location: New York City, United States; hybrid work
Salary: $148,000–$231,000 per year base pay for candidates based in the United States. Expected OTE is $164,000–$257,000 per year, including bonus or commission.
Company
provides a customer engagement platform with AI-powered decisioning, optimization, cross-channel messaging, and journey orchestration for brands.
What you will do
- Own the vision, strategy, and roadmap for the Intelligence product area.
- Partner with engineers to improve model accuracy, reliability, fallback behavior, and customer uplift.
- Define success metrics including adoption, SKU attach, retention, and revenue impact.
- Make AI-powered recommendations and decisioning transparent and trustworthy for marketers and go-to-market teams.
- Work with engineering, product design, product marketing, customer success, and other stakeholders to develop and launch products.
- Track the marketing AI competitive landscape and communicate product decisions and progress.
Requirements
- 5+ years of product management experience.
- Ability to turn complex algorithms into simple, trustworthy marketer experiences.
- Strong communication, storytelling, collaboration, organization, and persuasion skills.
- Ability to manage multiple projects and drive cross-functional initiatives to completion.
- Proactive, positive, and eager to learn and grow.
Nice to have
- Experience shipping machine learning or AI-powered products such as recommendations, personalization, optimization, or decisioning.
- Fluency in experimentation and measurement, including A/B testing, holdout groups, uplift, and model tradeoffs.
- Performance or lifecycle marketing experience.
- Experience with recommendation systems, multi-armed bandits, reinforcement learning, B2B SaaS, or high-scale technology startups.
Culture & Benefits
- Hybrid work environment focused on collaboration, transparency, autonomy, accountability, and work-life harmony.
- Competitive compensation with potential equity grants, retirement and employee stock purchase plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Family services, fertility benefits, and equal paid parental leave.
- Professional development with career pathing, learning platforms, and a yearly learning stipend.
- Employee resource groups, community volunteering, donation matching, and an in-office experience designed to support connection and innovation.
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