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SentiLink

Product Manager, Data and Internal Products

Posted Yesterday
Remote
Hiring Remotely in USA
180K-230K Annually
Senior level
Remote
Hiring Remotely in USA
180K-230K Annually
Senior level
Lead internal technical initiatives at SentiLink, focusing on data-intensive systems, while coordinating cross-functional projects and improving data management.
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About us:

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another.

 

By building the future of identity verification in the United States and reinventing the currently clunky, ineffective, and expensive process, we believe strongly that the future will be 10x better.

 

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list consecutively since 2023. Last but not least, we’ve even been a part of history -- we were the first company to go live with the eCBSV and testified before the United States House of Representatives.

About the Opportunity:

We’re looking for a Product Manager to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution.

While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams.

In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption.

This is a remote, US-based position.

Responsibilities

  • Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.

  • Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.

  • Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.

  • Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.

  • Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.

  • Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.

  • Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.

  • Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.

  • Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

Requirements:

  • 5+ years of product management experience with data-heavy or platform-oriented products.

  • Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar)

  • Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.

  • Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.

  • Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.

  • Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.

  • Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.

  • A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.

Salary Range: $180,000/year - $230,000/year + equity + benefits

Perks:
  • Employer paid group health insurance for you and your dependents

  • 401(k) plan with employer match (or equivalent for non US-based roles)

  • Flexible paid time off

  • Regular company-wide in-person events

  • Home office stipend, and more!

Corporate Values:
  • Follow Through

  • Deep Understanding

  • Whatever It Takes

  • Do Something Smart

Top Skills

BigQuery
Databricks
Snowflake
Spark

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