Technical Product Manager, Data and Internal Products

Jobgether; Oregon; Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Equity

Health insurance

Fully remote for US-based employees

Competitive base salary

Company events

Job summary

Jobgether, on behalf of a partner company, seeks a Technical Product Manager for Data and Internal Products in the United States. You will own data platforms and internal tools powering identity, risk and fraud prevention.

Lead roadmaps for datasets, shared services, and infrastructure supporting engineering, data science, and analytics teams. You will translate complex needs into clear priorities, collaborate with technical stakeholders, and drive initiatives to improve data quality and

Qualifications

• 5+ years in product management or equivalent leadership roles.
• Experience with big data products and internal tools.
• Experience at a Series B/C startup; not at a large tech company.
• Background in software engineering, data science, ML, or analytics.
• Production-level experience with data pipelines: ingestion, cleaning, modeling.
• Proficiency with Python and AWS.
• Familiarity with Spark, Databricks, BigQuery, Snowflake, or Redshift.
• Strong understanding of data architecture and data modeling.
• Ability to collaborate with engineering and analytics teams.
• Experience leading large internal initiatives and coordinating cross-functional dependencies.
• Must be located in the United States and legally authorized to work there.

Responsibilities

• Own the product vision, roadmap, and execution for internal data initiatives and infrastructure.
• Lead cross-functional projects to improve internal datasets, platforms, and shared services.
• Drive modernization of internal data and tech assets to scale with business needs.
• Partner with engineering, data science, and analytics teams to translate needs into requirements.
• Manage prioritization across internal demands, balancing immediate impact with long-term value.
• Coordinate complex initiatives with multiple stakeholders and clear ownership.
• Support development and improvement of data pipelines and tooling for analytics workflows.
• Monitor product performance and identify opportunities for improvement.

Skills

Product management

Stakeholder management

Data-driven decision making

Technical collaboration

Leadership

Tools

Python

AWS

Spark

Databricks

BigQuery

Snowflake

Redshift

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Manager, Data and Internal Products based in the United States. Take ownership of the internal data platforms and technical products that power sophisticated identity, risk, and fraud prevention solutions. As a Technical Product Manager, you will shape the vision and roadmap for critical datasets, shared services, and technology infrastructure supporting engineering, data science, and analytics teams. You will translate complex technical needs into clear product priorities, ensuring internal systems remain reliable, scalable, and easy to use. Working closely with highly technical stakeholders, you will drive initiatives that improve data quality, strengthen infrastructure, and support long-term innovation. This role combines strategic product leadership with hands‑on understanding of data engineering and machine learning ecosystems. Join a remote-first environment where your work will directly contribute to technology that helps protect financial institutions and their customers.

Accountabilities

• Own the product vision, roadmap, and execution for internal technology initiatives, particularly those involving data-intensive systems and infrastructure.
• Lead cross-functional projects to improve the quality, reliability, accessibility, and usability of internal datasets, platforms, and shared services.
• Drive long-term initiatives to modernize and future-proof internal data and technology assets, ensuring they can scale with evolving business and technical requirements.
• Partner with engineering, data science, solutions analytics, and product teams to understand their needs, define use cases, and translate technical challenges into actionable product requirements.
• Manage prioritization across competing internal demands, balancing immediate operational impact with long-term strategic value.
• Coordinate complex initiatives involving multiple stakeholders, ensuring clear ownership, alignment, and effective management of cross-functional dependencies.
• Support the development and improvement of data pipelines, data models, and internal tooling that enable reliable analytics and machine learning workflows.
• Monitor product performance and continuously identify opportunities to improve internal systems and technical processes.

Requirements

The ideal candidate combines strong product management experience with a technical background in engineering, data science, or analytics. You should have hands‑on familiarity with large-scale data environments and a proven ability to lead complex internal initiatives. The following qualifications are essential:

• 5+ years of experience in product management, founding roles, or equivalent cross‑functional product leadership positions.
• Demonstrated experience managing both big data products and internal tools, with specific projects clearly identified on your resume.
• At least one year of experience at a Series B or Series C startup; your current or most recent role must be at a startup rather than a large technology company.
• Previous experience in a technical role, such as Software Engineer, Data Scientist, Machine Learning Engineer, or highly technical Data Analyst.
• Production‑level experience with data pipelines, including data ingestion, cleaning, normalization, and modeling, with specific tools and projects clearly identified.
• Familiarity with Python and AWS.
• Hands‑on experience with at least one major big data technology, such as Spark, Databricks, BigQuery, Snowflake, or Redshift.
• Strong understanding of big data concepts, data architecture, data pipelines, and data modeling.
• Proven ability to collaborate with engineering, data science, and analytics teams on complex technical challenges.
• Experience leading large internal initiatives, coordinating multiple stakeholders, and managing cross‑functional dependencies.
• Must be located in the United States and legally authorized to work there.

Additional experience that would be advantageous

• Background in fintech, payments, fraud prevention, identity verification, or related domains.

Benefits

• Annual base salary: $180,000-$230,000 USD.
• Equity as part of the overall compensation package.
• Comprehensive benefits, including employer‑paid health insurance for employees and their dependents.
• Fully remote, remote‑first working environment for US‑based employees.
• Flexible paid time off.
• Regular company‑wide in‑person events.
• Opportunity to contribute to large‑scale fraud prevention and identity technology used by major financial institutions.
• Work in a well‑funded, high‑growth environment backed by established venture capital investors.
• Opportunity to help shape internal data infrastructure and technical products with significant organizational impact.