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Senior Product Manager
Core Policy
Confirmed live in the last 24 hours
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
Data Analysis
SCRUM
Snowflake
SQL
UI/UX Design
Writing
Requirements
  • 5+ years of experience working with cloud computing technologies/platforms, data warehouses, data engineering, APIs, ETL/ELT and SQL such as Snowflake, Databricks, Spark or query engines like Trino/Starburst
  • 5+ years of experience building enterprise software and SaaS products
  • Proven experience working with customers and cross functionally to deliver results in the product role; including product discovery, written requirements, stakeholder communication/alignment and collaboration with UX and engineering teams
  • Proven experience influencing and executing on a roadmap to deliver customer value
  • High Integrity -- You deliver your commitments on-time without someone pushing you to do so. If you make a verbal commitment, you deliver it
  • Domain expertise -- Data engineering, data platforms, and B2B enterprise software are in your DNA. You have a solid understanding of the cloud data domain and the modern data stack
  • Impactful -- You value impact. Everything you do as a Product Manager is in service of the customer and the business
  • Productive -- We have a lot to do. You are able to put your head down and GSD. You consistently produce high quality outcomes
  • Flexible & Adaptable -- You are comfortable being uncomfortable. You adapt to the evidence that we collect and to the voice of the customer to find the next right step
  • Bias Towards Informed Action -- You value running to contact while collecting evidence and building convincing business cases for your team. You understand that we learn fastest and best when we are out of our comfort zone
  • Deep Customer Empathy -- You value spending time with our customers and prospects. The product that we build is in service of them. You work hard to break the echo chamber, find the voice of the customer and advocate for their needs to the team
Responsibilities
  • Product Managers at Immuta are passionate about solving complex technical problems while delivering business impacting results, excellent customer experience, achieving product objectives, and working with multiple partners
  • Collaborating with our customers, cross-functional leaders and other product squads
  • Partnering with your technical team to establish a tech plan and QA plan
  • Proactively participate in squad agile/scrum rituals to execute and remove blockers
  • Close partnership with our UX team to create best-in-class user experiences
  • Close partnership with the QA team and experiencing the product
  • Writing concise product one-pagers that convey the “what” and the “why” for product improvements related to your domain
  • Prioritized items and upcoming backlog items include requirements, a measurable definition of success and a definition of done
  • Tracking metrics that speak to the success of your product areas and OKRs
  • Socializing the roadmap and planning board for your product squad
Desired Qualifications
  • Understanding of US and global data control and compliance policies such as GDPR, HIPAA and CCPA
  • Experience working with CISO, CDO, DataOps, DataSecOps or Compliance Managers
  • Demonstrated experience with access control or data governance
  • Knowledge in information retrieval and search
  • Experience working with data systems in an enterprise setting
  • Hands-on experience using APIs and understand design trade-offs
  • Ability to organize and analyze data from multiple sources
  • Effective writing and verbal communication skills
  • Experience working in hybrid or cloud architecture
  • Experience working in an Agile environment
Immuta

201-500 employees

Automated data governance
Company Overview
Immuta's mission is to enable legal and ethical data operations. That means ensuring data is accessible to only those who need it, for the right reasons, and in the right form. With proper data access controls, organizations can truly maximize the utility of their data.