Technical Product Manager, Data and Internal Products

Fluency Digital, Inc.; Town of Texas (WI); On-site; USD 100,000 - 130,000; Full time

Job summary

Fluency Digital, Inc., a fintech security company in Wisconsin, seeks a professional to focus on identity fraud prevention for financial institutions. You will work on translating complex signals into actionable data pipelines while collaborating with engineers on Spark and Snowflake.

The ideal candidate has over 5 years in fintech or cybersecurity, with deep knowledge of Spark, Snowflake, and Python. This role is pivotal in preventing fraudulent accounts from opening, requiring a bias for practical solutions in evolving risk environments.

Qualifications

• 5+ years shipping data-intensive products in fintech, cybersecurity, or adjacent regulated spaces.
• Demonstrated experience building internal tools or platforms.
• Comfort navigating ambiguity in fraud and risk domains.

Responsibilities

• Translate synthetic identity fraud signals into clean data pipelines.
• Collaborate with data engineers on job optimization.
• Prioritize iterations for internal Snowflake warehouse.

Skills

Spark

Snowflake

Python

AWS ecosystem

Job description

Fintech security company specializing in identity fraud prevention for financial institutions

You'll sit at the intersection of fraud detection engineering and internal platform strategy, translating the messy signals of synthetic identity fraud into clean data pipelines that power real-time decisions. One morning you're whiteboarding with data engineers on Spark job optimization; by afternoon you're prioritizing the next iteration of an internal Snowflake warehouse that analysts rely on to spot attack patterns before they scale. Your roadmap isn't theoretical—it's the infrastructure that keeps fraudulent accounts from opening in the first place.

What we're looking for:

• 5+ years shipping data-intensive products in fintech, cybersecurity, or adjacent regulated spaces
• Deep fluency with Spark, Snowflake, and Python—enough to read logs, debug pipelines, and earn engineering trust
• Demonstrated experience building internal tools or platforms whose customers are your own technical teams
• Comfort navigating ambiguity in fraud and risk domains where requirements shift as attackers evolve
• Strong AWS ecosystem experience, from storage and compute configurations to cost-performance tradeoffs
• Must be based in the United States.

Tech stack: Spark, Snowflake, Python, AWS