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Data Analytics Manager

πŸ‡ΊπŸ‡Έ New York


Cyndx is an Artificial Intelligence and Natural Language Processing (NLP) platform that offers β€œsearch and discovery” solutions for entrepreneurs, start-ups, investors, and acquirers. Our subscription-based solution helps enhance capital raising, acquisitions, and other business opportunities. Our platform hosts data on over 20 million companies world-wide and is used by some of the largest financial institutions in the world.

We are looking for a Data Analytics Manager to be responsible for our core engineering efforts. In this role, you will be responsible for the velocity of the engineering team, the quality of the final product and meeting the expectations of both internal and external stakeholders. As part of your responsibilities you will hire, scale, and develop a team capable of executing on product strategies and in alignment with a dynamic product roadmap. While this job is primarily focused on running part of the engineering organization, we are looking for someone who is equally comfortable helping wherever needed and pushing code with the rest of the team.

This role will be located in either our New York or out West Palm Beach office. Please note that we are currently working on a hybrid model and are in the office for three days and remote for two days each week.

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Want to learn more about Cyndx? Read some of our recent press coverage:


  • Structure and lead teams, individuals, and cross-functional relationships in a way that ensures productivity and transparent communication
  • Provide structure, mentorship and organization for a global team of engineers to align with the strategic objectives of the company and execute the product roadmap efficiently
  • Partner with Product leadership to implement continuous improvement, deployment and testing as part of the product delivery lifecycle
  • Articulate plans and projects to both senior level executives and junior team members; in addition to representing the team in a variety of scenarios: Company meetings; executive meetings; strategic partnerships; and product direction discussions.
  • Cultivate an effective partnership with our People and Talent Acquisition teams to drive the recruitment, development, and performance of a world-class, globally distributed engineering team
  • Be a hands-on-engineer working side by side with the rest of your team


  • 5+ years of experience as an engineer or engineering oriented data analyst with a proven track record of leading junior team members
  • Able to rapidly identify, communicate, and drive to resolution of issues with multiple teams, leaders, and business stakeholders
  • Experience with organizational design and structure for engineering teams with a demonstrated track record of effectively aligning engineering practices with organizational strategy to deliver business results
  • Experience with tools such as DBT and Airflow
  • Strong understanding of object-oriented programming languages and modern software engineering concepts
  • Have expertise with modern, large-scale distributed systems using cloud native architectures
  • Possess knowledge of security practices and systems required to manage sensitive personal data
  • Experience overseeing software testing, including test processes, unit testing, integration, system, acceptance, API and Browser testing

Nice to Haves

  • Experience working in fintech or financial services working with institutional products
  • Strong knowledge of supporting and deploying AI products
  • Experience in processing unstructured data from websites
  • Knowledge of investment banking


  • Google Cloud - GKE, Dataflow, BigQuery, Cloud SQL, etc.
  • React
  • Typescript/Javascript
  • Terraform
  • Kubernetes
  • Python
  • Elixir


  • Competitive Salary
  • Health insurance
  • 401k with matching
  • A beautiful, centrally located, new office filled with snacks
  • A great team to work with and learn from
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