Posted:
11/21/2024, 5:15:46 PM
Location(s):
Washington, United States ⋅ Seattle, Washington, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics ⋅ Product
About MotherDuck
Don’t let the quirky name fool you! We’re on a mission to radically transform the data analyst user experience. We think we can empower and delight analysts using a novel cloud architecture built on top of DuckDB, an open source foundation with a vibrant community. Our team is a diverse mix of passionate, collaborative and empathetic data industry veterans from Google, Amazon, Meta, Snowflake, SingleStore, Databricks, and the like.
Core Responsibilities
As the Senior Product Manager of MotherDuck’s Data Warehouse, you’ll be a key member of the MotherDuck flock, steering our product direction with innovation and a keen eye for customer needs. You’ll be quacking with customers, developers, and cross-functional teams to design and deliver solutions that not only meet market needs but delight our users. Your role will be to fly high with big ideas but also dive deep into the details, ensuring every feature is top-bill. We need someone with strong product instincts and a dedication to making a splash in data analytics.
What You’ll Do
You deeply understand Data Warehousing customer needs, pain points, and behaviors, and bring the "voice of the customer" to define our product strategy and vision.
Duck-dive into market research and customer insights to identify new features and opportunities for innovation.
Collaborate with engineering, design, and sales teams to refine and launch features that put our users at the center.
Drive product development from concept to launch, ensuring each release has a smooth landing.
Communicate product vision both internally and externally, quacking about our unique value and ensuring alignment with company goals.
Use data to track product success, make adjustments, and constantly refine based on feedback (no sitting on the nest here).
Requirements
8+ years of product management experience, preferably in Data Warehouse or cloud-based analytics platforms.
Bachelor's degree in Computer Science or equivalent work experience.
A knack for balancing big-picture vision with detail-oriented execution.
Strong problem-solving skills and a curiosity for diving beneath the surface.
Excellent communication and collaboration skills – you can quack with engineers and clients alike.
A data-driven mindset, with experience leveraging metrics and user feedback to improve the product.
High agency and ownership. Comfortable building in an environment with few guardrails and constantly shifting challenges.
Passion for building products that leave competitors in the dust... or in this case, the pond.
What we provide
Competitive compensation and stock options
100% paid medical, dental, and vision for employees
80% paid medical, dental, and vision for dependents
Unlimited Paid Time Off
401k plan
Opportunities to build team connections via company summits 2x a year and team summits 1-2x a year.
Hybrid work environment
Please Apply
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Website: https://motherduck.com/
Headquarter Location: Seattle, Washington, United States
Employee Count: 11-50
Year Founded: 2022
IPO Status: Private
Last Funding Type: Series B
Industries: Analytics ⋅ Database ⋅ Machine Learning ⋅ Software