Senior Product Manager - Data Engineering

Senior Product Manager - Data Engineering

This job is no longer open

Who we are:

Dataminr puts real-time AI and public data to work for our clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Our leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Our real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold. 

Dataminr is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. We also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards. 

Join our team and help the world manage risk in real time. You’ll work with 600+ talented people across seven offices, united by our passion to collaborate, make a difference, and have fun while doing it! 

What you've done before:

You have at least 5 years of experience in a data centric technical role (ex: data analyst, data engineer, data scientist) and have transitioned into a product manager. You have driven roadmaps for technical teams and built consensus on direction across an organization. Demonstrated excellent prioritization skills and experience communicating hard tradeoff decisions to cross functional stakeholders. You can represent and advocate for Data Engineering team priorities and dependencies of other engineering and product teams.  

What success looks like in your first 6 months:

  • Drive tracking, grooming, communication and expectation management of the Data Engineering team’s backlog and roadmap.  
  • Partner with Engineering leaders to frame team and platform vision with  internal stakeholders, building consensus on direction
  • Track and assess stakeholder feedback to inform prioritization of future roadmap opportunities for the data engineering team.  
  • Drive alignment on roadmap prioritization across other Product, Engineering, Operational and GTM teams.  
  • Refining requirements and scope of asks from other Product, Operational & GTM teams 
  • Ensure the Data Engineering team is aware of initiatives other engineering and product teams are driving that may impact the team
  • Represent and advocate for Data Engineering team priorities and dependencies of other engineering and product teams (sprint, quarterly, and yearly planning rhythms).  
  • In partnership with engineering leaders - communicate the team’s work via executive/leadership briefs - ensuring its value, status, and alignment to strategic business goals is well understood across the organization. 

Why you should work here:

  • We recognize and reward hard work with:
    • competitive compensation package including company equity.
    • paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance.
    • 401(k) savings plan with company matching.
    • flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses.
  • We want you to be your best, authentic self by supporting you with:
    • a diverse, driven, and passionate team of coworkers who want you to succeed.
    • opportunities to own and drive important critical projects.
    • individual Learning and Development fund and professional training.
    • generous leave and flexible hours. 
    • daily catered lunch and a fully stocked kitchen. (SPECIFIC TO NYC)
    • and more!

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

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