4 дня назад
Senior Technical Product Manager (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Product Manager (Generative AI) (AI, data, cloud, and platform technologies): Owning the vision, roadmap, and delivery of an enterprise Generative AI platform and supporting data products with an accent on scalable capabilities, APIs, data pipelines, governance, security, and reliability. Focus on translating business needs into technical requirements, prioritizing platform delivery, and measuring adoption, performance, data quality, and business impact.
Location: Remote - Nationwide, United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship, including CPT/OPT sponsorship, is not available.
Company
provides financial services focused on helping customers achieve financial freedom.
What you will do
- Own the vision, roadmap, strategy, prioritization, and execution of the Generative AI platform and supporting data products.
- Translate business needs into technical requirements, specifications, epics, user stories, and acceptance criteria.
- Lead backlog refinement, sprint planning, release planning, prioritization, and release management with engineering and Agile delivery teams.
- Collaborate on APIs, data models, ETL/ELT pipelines, data architecture, and enterprise data platform capabilities.
- Build requirements for platform performance, scalability, availability, reliability, security, data quality, and operational readiness.
- Define KPIs for adoption, usage, performance, reliability, delivery, data quality, and business impact, using results to refine product strategy.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field.
- 7+ years of product management experience with complex technical, data, cloud, AI, or platform products.
- Experience managing technical product roadmaps and leading cross-functional initiatives from strategy through delivery.
- Strong understanding of AI and machine learning concepts, Generative AI technologies, cloud infrastructure, enterprise data platforms, data pipelines, and data architecture.
- Experience with ETL/ELT and modern cloud or data platforms such as AWS, Microsoft Azure, GCP, Snowflake, Databricks, Amazon Redshift, or Google BigQuery; SQL proficiency is required.
- Working knowledge of data governance, metadata, lineage, privacy, security, access controls, and Agile/Scrum practices.
Nice to have
- Experience in financial services, fintech, or another regulated industry.
- Experience with BI and analytics tools or metrics layers.
- Background in analytics, data engineering, or quantitative roles.
Culture & Benefits
- Flexible work environment with support for internal mobility, purpose, well-being, and work-life balance.
- Medical, dental, vision, and life insurance.
- 401(k) plan with company matching contributions of up to 6% and financial advisory services.
- Tuition reimbursement of up to $5,250 per year.
- Paid time off, company and floating holidays, paid volunteer time, parental leave, disability coverage, and FMLA programs.
- Inclusive Business Resource Groups and required reliable high-speed wired internet for remote work.
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