Director of Engineering

Austin, Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Verification, Risk Solutions, Financial Services, FintechIndustries

Requirements

Candidates must have a business mindset for strategic alignment, prioritization, and fostering an entrepreneurial spirit. A minimum of 5 years of experience leading engineering teams of 10+ people, preferably in fast-growth tech environments, is required. Proven success in building and scaling high-functioning teams with strong hiring and retention standards, along with experience in full-stack engineering, API-based products, and SaaS environments, is essential. Strong communication skills for cross-functional collaboration are also necessary. Bonus points for experience in fintech, fraud/risk, or identity systems. Candidates must be legally authorized to work in and reside in the United States.

Responsibilities

The Director of Engineering will own the roadmap for API products, solutions, and operational capabilities, ensuring scalable, secure, and performant delivery. They will manage and scale an initial team of 12-14 engineers, fostering a culture of continuous learning, hiring top talent, and promoting high standards. Responsibilities include collaborating with product, data science, infrastructure, and executive stakeholders to align engineering efforts with business goals. The role involves implementing best practices for engineering workflows such as scalability, observability, incident response, and reliability. Driving innovative architectural decisions and platform evolution to support product differentiation and speed to market is also a key responsibility.

Skills

API product management

Roadmap ownership

Team leadership

Mentoring

Talent acquisition

Technical discussions

High standards

Collaboration

Product development

Core engineering

Scalable systems

Secure systems

Performant systems

SentiLink

Machine learning solutions for identity fraud detection

About SentiLink

SentiLink provides solutions to help financial institutions prevent identity fraud. Their main product uses machine learning models to detect fraudulent activities during the application process. By analyzing data and reviewing cases with a team of risk analysts, SentiLink offers insights that help clients make informed decisions about approving customers. What sets SentiLink apart from competitors is their ability to adapt their products to various types of fraud and customize them to meet the specific needs of each client. The goal of SentiLink is to enable financial institutions to minimize fraud losses while maintaining a positive customer experience.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$81.7MTotal Funding

SERIES_BCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Home Office Stipend

Risks

Sophisticated fraud techniques may outpace SentiLink's current detection capabilities.

Dependence on high-quality data could impact fraud detection effectiveness if data quality declines.

Intense competition in the fintech sector may threaten SentiLink's market position.

Differentiation

SentiLink specializes in detecting synthetic identities using proprietary machine learning models.

The company offers customizable solutions that integrate seamlessly with clients' existing systems.

SentiLink's Facets tool provides feature-specific intelligence to enhance fraud detection accuracy.

Upsides

Growing demand for synthetic identity fraud detection boosts SentiLink's market potential.

Partnerships with Scienaptic AI and Persona enhance SentiLink's fraud detection capabilities.

API-based solutions allow SentiLink to offer seamless integration and customization.

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