SentiLink helps institutions and protects customers by accurately resolving identities and flagging fraud risk. Each day, we verify more than 3 million identities, flagging 150k+ fraud attempts in the process. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.

At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.

We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity.

We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.

Role

We’re looking for a leader with a technical background and deep understanding of data to build SentiLink’s identity resolution suite, including prefill, identity completion, and pinning. As part of this scope you will also be responsible for our underlying data merging and keying and linking technology and processes.

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.

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 experience with data-heavy or platform-oriented products, with a focus on data platform.

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.