Senior Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Product Manager (AI): Own a critical segment of the student journey by translating product vision into shipped, measurable features with an accent on AI/ML personalization, proactive guidance, and responsible decision-support systems. Focus on building intelligent workflows at scale, running experiments to validate value and user trust, and partnering across Engineering, Data Science, and Design to improve funnel progression and model performance.
Company
is an education technology company supporting universities with workforce-focused online degree programs and AI-enabled student journey experiences.
What you will do
- Lead execution and evolution of a defined student-journey product segment, turning strategy into scalable experiences using UX design and advanced analytics.
- Identify opportunities for predictive models, intelligent workflows, and generative AI to deliver proactive guidance, personalization, and operational efficiency.
- Partner with Engineering, Data Science, and Design to deliver ML and generative AI personalization features and automated decision-support tools.
- Define hypotheses and run experiments (including A/B testing) to validate value, accuracy, and user trust in AI-powered features.
- Establish success metrics for AI/ML features (model performance, UX impact, operational lift) and productize manual, high-variance workflows into scalable experiences.
- Embed responsible AI practices (transparency, bias mitigation, feedback loops) and advocate for clarity, equity, and empowerment in AI-led experiences.
Requirements
- 5+ years of product management experience shipping impactful consumer or B2B SaaS products.
- Experience partnering with engineering and data science to ship ML- or AI-enabled features (predictive models, ranking systems, automated workflows, or generative AI experiences).
- Ability to frame AI/ML opportunities, define product requirements for intelligent systems, and guide model evaluation, UX design, experiment setup, and iteration.
- Strong analytical skills with fluency in product analytics and A/B testing for data-driven decision-making.
- Exceptional communication skills to align engineering, design, operations, and leadership, especially when navigating ambiguity and technical trade-offs.
- Location: US - Remote
Culture & Benefits
- Mission-driven, student-first focus on improving access to affordable education for working adults.
- Cross-functional collaboration with Engineering, Data Science, and Design to remove blockers and drive alignment.
- Responsible AI is embedded in how the team builds, including transparency, bias mitigation, and user feedback loops.
- Clear measurement of impact through funnel progression, delivery cadence/quality, and AI/ML performance and trust indicators.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →