Customer Success Manager, International Public Sector

Customer Success Manager, International Public Sector

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Dataminr, Inc

At a Glance

  • Tasks: Drive product adoption and customer success for First Alert in the public sector.
  • Company: Join Dataminr, a leader in AI innovation and real-time event detection.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Dynamic role with travel opportunities and a focus on innovative AI solutions.
  • Why this job: Make a real impact in national security and emergency management with cutting-edge technology.
  • Qualifications: 3-5 years in customer success, fluent in Italian and Spanish, strong communication skills.

The predicted salary is between 50000 - 65000 £ per year.

As a Customer Success Manager, you will drive First Alert Dataminr product adoption, renewal, and usage among First Alert customers and build a strategy to foster account growth, specifically within Italian and Spanish Public Sector accounts.

You are excited to combine your interests in technology, government, national security, emergency management and customer success to transform how our customers adopt and use First Alert. Italian and Spanish language skills are a requirement for this role.

The opportunity

  • Expand the scope and scale of Dataminr 'First Alert' adoption while driving successful customer outcomes within your assigned portfolio.
  • Serve as a First Alert platform expert to develop and maintain relationships across your account portfolio.
  • Collaborate with Account Executives to develop and execute short and long-term strategies for your assigned portfolio.
  • Partner with other Customer Success colleagues to drive product adoption, renewal, upsells and customer satisfaction.
  • Collect customer feedback to enable you to leverage data-driven metrics and reporting to understand and stay ahead of risks and opportunities that impact retention and growth and find new use cases.
  • Conduct quarterly customer reviews to ensure service and product quality remain exemplary and deliver customer satisfaction by bringing value to our customers daily.

What you bring

  • Bachelor's degree or equivalent relevant experience in a related field with 3-5 years of customer success/account management experience, specifically experience supporting the public sector.
  • Italian and Spanish language skills (professional fluency).
  • Knowledge and/or experience with publicly available information and the real-time alerting needs of public sector organizations, including but not limited to law enforcement or emergency management.
  • Outstanding ability to communicate, both orally and written, complex concepts to a wide range of audiences, including technical and non-technical customers within the Software/SaaS space or with senior leaders and decision-makers in the form of a presentation.
  • High level of accountability, ability to execute independently on multiple and competing projects and deadlines.
  • Must be willing and able to travel (domestically and internationally) as needed, approx. 25-50% of the time.
  • Ability to obtain security clearance.

Customer Success Manager, International Public Sector employer: Dataminr, Inc

Dataminr, Inc. is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. With a strong emphasis on employee growth through comprehensive sales training programs, we empower our team to excel in their roles while tackling cutting-edge trends in AI. Join us for a rewarding career where your contributions are valued and you can thrive in a supportive environment.

Dataminr, Inc

Contact Details:

Dataminr, Inc Recruitment Team

We think you need these skills to ace Customer Success Manager, International Public Sector

Customer Success Management
Account Management
Public Sector Knowledge
Italian Language Skills
Spanish Language Skills
Communication Skills
Data-Driven Metrics Analysis