Enable job alerts via email!

Staff Product Manager, Data & AI Collaboration Ecosystem Seattle, Washington

Databricks Inc.

Seattle (WA)

On-site

USD 129,000 - 228,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An established industry player is seeking a strategic leader to drive their data collaboration ecosystem. In this pivotal role, you will develop and execute the product strategy for innovative offerings like Delta Sharing and Databricks Marketplace. Your expertise will guide cross-functional teams to understand customer needs and deliver impactful solutions. This role offers the chance to shape the future of data collaboration in a dynamic environment, working with top-tier partners and clients. If you're passionate about data and AI and are ready to make a significant impact, this opportunity is for you.

Qualifications

  • 7+ years of experience in leading complex enterprise products.
  • Strong understanding of the collaboration and sharing ecosystem.

Responsibilities

  • Lead product strategy for data collaboration ecosystem.
  • Define product roadmap and work with engineering to implement features.

Skills

Product Strategy
Data Collaboration
Technical Leadership
Communication Skills

Job description

Databricks is on a mission to simplify and democratize Data and AI, helping customers solve the world’s toughest problems. To achieve this, we strive to offer our customers access to the world’s most open Data and AI ecosystem, enabling them to benefit from a wide network of partners that they use together with Databricks to solve their most complex challenges. The Databricks data collaboration ecosystem includes a wide range of partners including data vendors, identity providers, software companies, and a wide range of data-rich companies that provide Databricks customers with the most valuable and critical Data and AI assets natively within the Databricks platform.

In this role, you will lead our data collaboration ecosystem product strategy, and own the roadmap for all aspects of data collaboration. This includes Delta Sharing, our open source sharing protocol; Databricks Marketplace, our open marketplace for Data and AI; and Databricks Clean Rooms, our privacy-safe data collaboration offering. As part of this role, you will define our strategy to identify the business priorities across verticals and use-cases. You will also own the product roadmap and implementation, working closely with engineering to develop differentiated data sharing and collaboration offerings. Finally, you will work cross-organizationally with sales and partnerships teams to drive adoption and grow the data sharing and collaboration network.

The impact you will have:

  • Develop a deep understanding of the data collaboration & sharing ecosystem
  • Articulate the strategy to build the world’s most open Data and AI ecosystem
  • Work closely with customers and partners to understand their technical and business needs
  • Define product requirements and work closely with your engineering and design counterparts to build new features
  • Define and execute the product roadmap for Delta Sharing, Marketplace, and Clean Rooms.

What we look for:

  • 7+ years of experience leading technically complex enterprise products
  • Strong understanding of the collaboration & sharing ecosystem
  • Prior success developing and bringing net new products to market
  • Excellent verbal and written communication

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Zone 2 Pay Range:

$129,000 — $228,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Commercial Account Executive, Data Cloud

Salesforce

Atlanta

Remote

USD 85,000 - 1,78,000

Today
Be an early applicant

Sr. Product Manager, Data Intelligence Seattle, Washington

Databricks Inc.

Seattle

On-site

USD 1,33,000 - 2,04,000

7 days ago
Be an early applicant

Product Manager - Data Platform

SPLUNK SERVICES UK LIMITED

Indiana

Remote

USD 1,06,000 - 1,47,000

8 days ago

Product Manager - Data Platform

Cisco

Oregon

Remote

USD 1,06,000 - 1,47,000

13 days ago

Lead, Data Engineer

L3Harris Technologies

Remote

USD 1,12,000 - 2,41,000

7 days ago
Be an early applicant

Principal Data Engineer, Commercial Data

Moderna Therapeutics

Seattle

On-site

USD 1,42,000 - 2,57,000

7 days ago
Be an early applicant

AIML - Annotations Account & Program Manager, Data Operations

Apple

Seattle

On-site

USD 1,29,000 - 2,37,000

30+ days ago

Sr. Manager, ML & Data Platform Engineering Programs - Apple Services Engineering

Apple

Seattle

On-site

USD 1,90,000 - 2,86,000

30+ days ago

AIML - Sr Engineering Program Manager, Data

Apple

Seattle

On-site

USD 1,57,000 - 2,79,000

30+ days ago