The Role
An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.
Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.
The current range for this role is $118,000 - $184,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
What You'll Do
Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
Collaborate with clients to determine data engineering and analytical needs.
Lead development of key features from requirements definition through delivery.
Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
Ensure the product remains competitive by staying current with trends in data lake house technologies.
Regularly communicate updates to collaborators and gather customer feedback.
Who You Are
5+ years of product management experience, ideally with data platforms or engineering products.
Proficient in data lake house technology and data workflows.
Technical skills in SQL, Python, and data engineering concepts.
Proven track record to handle data-intensive product development and client-facing requirements.
Excellent communication and cross-functional collaboration skills.
Preferred Skills
Hands-on experience with Databricks or similar data platforms.
Familiarity with financial services platforms like Addepar.
Preferred experience with a scrum-based agile development process.