Technical Program Manager
Posted on 10/10/2023
INACTIVE
FanDuel

1,001-5,000 employees

Fantasy sports and online U.S. sportsbook
Company Overview
Fanduel is on a mission to make sports more exciting. The company provides a daily fantasy sports platform with a range of game types for players with a guaranteed prize pool for the winners.
Data & Analytics

Company Stage

N/A

Total Funding

$417.5M

Founded

2009

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

7%

1 year growth

24%

2 year growth

85%
Locations
Atlanta, GA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Apache Kafka
Data Science
Hadoop
Airflow
Redshift
SQL
Tableau
Python
Looker
CategoriesNew
Data & Analytics
Requirements
  • 3+ years of Technical Program Management experience. Alternatively, program manager experience working closely with Engineering teams or experience as an Engineering Manager driving programs
  • Proven track record of ownership and driving programs
  • Experience driving out complex cross-cutting technology programs
  • Demonstrated experience force multiplying
  • Strong negotiation and communication skills
  • Background with engineering programs. You can engage in an effective discussion with Engineers
  • Experience in the engineering field with an understanding of how to leverage processes to deliver more effectively
  • Ability to understand architectural concepts such as scaling, robustness, etc
  • Previous TPM experience working with multiple teams in a scaled organization or similar Program Management experience with engineering teams
  • ETL/ELT pipelines using Python and Databricks
  • Modeling and querying data using SQL and DBT
  • Apache Airflow
  • Distrubuted data systems such as Redshift, Athena, Spectrum, Spark, Hadoop, and Trino
  • Distributed event systems such as Kafka and Kinesis
  • Data lake, warehouse, and lakehouse architectures
  • Business intelligence tools (e.g., Tableau, Looker)
  • Data security and privacy (e.g. GDPR, CPP)
  • Data governance and data testing frameworks (e.g., Alation, Great Expectations)
  • Machine learning and data science
Responsibilities
  • Own the delivery of a technical program with significant impact across the entire engineering organization
  • Demonstrate intense ownership for your program, stepping in to own and resolve issues/risks before they impact the program
  • Provide visibility into the status of the program catered to multiple audiences, both with human perspective and using data
  • Use your engineering know how, working with Sr. Engineers to identify architectural weakness and pressure-test designs
  • Serve as a subject matter expert and single point of contact for the program. Grow into your role and be willing to learn
  • Negotiate for resources and priorities using data and your referent authority
  • Escalate when necessary appropriately
  • Balance trade-off decisions between short-term and long-term needs
  • Actively mentor other TPMs and engineers