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.
Role:
The Engineering team builds the systems and products that power SentiLink’s fraud detection capabilities. For this role, you’ll work closely with the NOVA squad across Product, Engineering, Data Science, Fraud Intelligence, and Sales to bring mobile device intelligence into SentiLink’s products and deepen our understanding of the mobile device landscape.
We’re looking for a Founding Mobile Developer with deep systems-level expertise across both iOS and Android. You will own the technical approach and implementation of mobile SDKs for device fingerprinting, starting with bringing mobile device fingerprinting in-house for NOVA. Success in this role means independently navigating ambiguous technical problems, understanding how mobile platforms behave below the application layer, and building reliable mobile capabilities that strengthen our fraud detection models. Over time, your work may also help enable a mobile-optimized experience for SentiLink’s dashboard.
This is a remote, US-based role.
Responsibilities:
Own the design and implementation of SentiLink’s mobile SDKs for device fingerprinting across native iOS and Android.
Develop a deep technical understanding of device behavior and the signals available across both mobile platforms, including networking and other system-level capabilities.
Evaluate approaches to mobile device fingerprinting and make technical decisions that balance signal quality, platform constraints, and maintainability.
Partner with Product and Engineering to define and deliver mobile capabilities for NOVA.
Collaborate with Data Science to make mobile device signals available for fraud detection models and support effective use of those signals.
Investigate ambiguous mobile engineering problems independently, using rigorous analysis and experimentation to determine the right technical approach.
Contribute mobile expertise and technical direction as SentiLink evaluates longer-term opportunities for mobile experiences.
Requirements:
5+ years of professional software engineering experience, with extensive experience developing for both native iOS and native Android.
Deep systems-level understanding of both iOS and Android, including areas such as networking, device APIs, operating system behavior, and platform internals.
Demonstrated ability to build technically complex mobile software with an emphasis on systems-level engineering rather than primarily user interface development.
Strong ability to independently explore and solve ambiguous technical problems with a high degree of ownership and autonomy.
Excellent analytical, problem-solving, communication, and interpersonal skills.
Deep understanding of device fingerprinting approaches and mechanisms preferred.
Experience partnering with data scientists to provide signals or capabilities used in machine learning models preferred.
Compensation:
$210,000 - $240,000/year + equity + benefits.
Note: This salary range may be inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.
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