SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. 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.
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.
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.
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.
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.
$180,000/year - $230,000/year + equity + benefits
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!
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
Skills Required
- 5+ years of experience with data-heavy or platform-oriented products, focused on data platforms
- Hands-on experience working with large datasets
- Experience with distributed or big-data environments such as Spark, Databricks, BigQuery, Snowflake, or similar
- Strong understanding of big data concepts, data pipelines, data cleaning and normalization, and data modeling
- Ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems
- Experience driving large internal initiatives with multiple stakeholders and substantial cross-functional dependencies
- Ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs
- Excellent communication skills, including explaining technical concepts to diverse audiences and facilitating alignment
- Forward-looking, durability-focused mindset oriented toward scalable, maintainable, and adaptable systems and datasets
SentiLink Compensation & Benefits Highlights
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Healthcare Strength — Healthcare is described as 100% employer‑paid for employees and dependents across medical, dental, and vision. This level of coverage is consistently positioned as a standout element of the package.
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Retirement Support — Retirement benefits include a 401(k) with an employer match around 4%. This matching structure is regularly highlighted alongside core benefits.
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Leave & Time Off Breadth — Time away is framed as flexible/unlimited PTO supplemented by sick days, holidays, wellness days, and a birthday day off. This breadth signals formal flexibility to take needed time.
SentiLink Insights
What We Do
SentiLink is the leading fraud intelligence company, providing financial institutions and fintechs with purpose-built solutions for identity verification and fraud prevention. Our products detect synthetic fraud, identity theft, and hard-to-detect first-party fraud in real time — helping partners stop losses before they happen while approving more legitimate customers. Founded in 2017 by Naftali Harris and Max Blumenfeld, creators of the risk and fraud systems at Affirm, SentiLink was built on a simple premise: to truly stop fraud, you have to deeply understand it. That belief shapes everything, from the expert human intelligence that feeds our models to the way we work with our partners. We don't call them clients or customers, we call them partners, because that's genuinely how we think of them. Today, SentiLink processes 3M+ identity verifications per day for 500+ financial institutions, including 13 of the top 15 U.S. banks and 50+ fintech unicorns. We've raised $85M from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners.
Why Work With Us
At SentiLink, deep understanding isn't just a value, it's a company-wide expectation. For example, our Revenue Accounting Manager can walk you through SSN windows. That's not an exception; that's the norm. You'll collaborate closely, move fast, and do work that genuinely matters.
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SentiLink Offices
Remote Workspace
Employees work remotely.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We have offices in multiple cities and if you’re located near one of these offices, we would love for you to spend time in the office regularly.
