5 часов назад
Senior Product Manager (Data Integration)
102 800 - 164 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Data Integration): Owns the vision, roadmap, and execution for client data onboarding and integration with an accent on API design, SQL/NoSQL querying, data governance, and LLM-enabled engineering workflows. Focus on leading cross-functional product development, prioritizing complex portfolios, and driving data-informed product growth.
Location: Warrenville, Illinois, United States
Salary: USD 102,800–164,400 per year
Company
provides marketing, packaging, print, and business services supported by proprietary technology, advanced data analytics, and sustainable solutions.
What you will do
- Own the product vision and roadmap for high-impact product lines.
- Lead product development in collaboration with engineering, design, marketing, senior leadership, and cross-functional teams.
- Own roadmap and execution for client data onboarding and integration.
- Make strategic decisions about product features, investments, and portfolio priorities.
- Analyze product performance and customer feedback to drive continuous improvement.
- Mentor junior team members and cross-functional partners.
Requirements
- Bachelor’s degree or an equivalent combination of education and experience.
- At least 7 years of product management experience.
- Experience defining product strategy and leading product development.
- Strong leadership, mentorship, problem-solving, and data-driven decision-making skills.
- Ability to manage complex product portfolios and prioritize initiatives effectively.
- Technical fluency in API design using Swagger/Postman, SQL/NoSQL querying, and LLM-enabled engineering workflows and technical specifications.
Culture & Benefits
- Medical, dental, and vision coverage.
- Paid time off, disability insurance, life insurance, and parental leave.
- 401(k) with company match.
- Adoption assistance, tuition assistance, and employer or partner discounts.
- Offers are contingent on successful completion of a pre-employment background check and drug screen.
- Interviews are expected to be completed without AI tools.
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