Technical Product Manager, Data and Internal Products

Recruiting from Scratch is representing a leading identity verification and fraud prevention company helping financial institutions and fintechs. They are seeking a Technical Product Manager to own the product strategy and execution for internal data platforms, collaborating with various teams to enhance the quality and reliability of data systems.

Responsibilities:

• Own the product strategy, roadmap, and execution for internal data platforms, services, and technical infrastructure
• Drive product initiatives that improve the quality, reliability, and scalability of core datasets and shared internal systems
• Partner closely with Engineering, Data Science, Analytics, and Product teams to define requirements and deliver technical solutions
• Prioritize competing technical initiatives while balancing immediate business needs with long-term platform investments
• Lead cross-functional programs focused on data infrastructure, machine learning platforms, and internal tooling
• Define success metrics and measure product performance across internal systems and data products
• Improve data quality, ingestion, normalization, modeling, and platform usability for internal stakeholders
• Translate highly technical concepts into clear product requirements and execution plans
• Collaborate with engineering teams throughout the product lifecycle, from discovery through implementation and launch
• Help shape the long-term technical vision for the company's internal data ecosystem

Requirements:

• 5+ years of experience in Product Management, Technical Product Management, or equivalent cross-functional leadership roles
• Previous experience as a Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical analytics professional before transitioning into Product
• Strong experience managing data-intensive products, internal platforms, or infrastructure-focused initiatives
• Deep understanding of data pipelines, data ingestion, normalization, modeling, and large-scale data systems
• Experience working with modern big data technologies such as Spark, Databricks, Snowflake, BigQuery, or Redshift
• Familiarity with Python, AWS, SQL, and modern cloud-based data platforms
• Strong analytical mindset with the ability to work closely alongside engineering and data science organizations
• Proven ability to lead complex technical initiatives involving multiple cross-functional stakeholders
• Excellent communication skills with the ability to explain technical concepts to both technical and business audiences
• Experience within fintech, fraud prevention, identity verification, payments, financial infrastructure, or cybersecurity
• Startup experience, particularly at Series B or Series C companies
• Experience building internal developer platforms, data infrastructure, or machine learning platforms
• Familiarity with AWS, Go, PostgreSQL, OpenSearch, or related backend technologies
• Experience supporting ML-driven products, analytics platforms, or data science infrastructure
• Founder or entrepreneurial experience with a strong ownership mentality
• Demonstrated success balancing long-term platform investments with near-term product delivery
• Strong systems thinking and passion for solving highly technical product challenges