Engineering Manager, Applied AI at Blend

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, Financial Services, BankingIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
6+ years of software engineering experience, with at least 2 years in a leadership or managerial role
Excellent communication skills with the ability to work independently and collaboratively in a fast-paced environment
Proven ability to lead, mentor, and grow engineering teams, including experience with hiring and talent development
Hands-on experience with building products on AI agentic frameworks and foundational AI models
Hands-on knowledge and experience in various front-end and back-end technologies like Python, Node.js, Typescript, Go, React
Hands-on knowledge and experience with relational, document, and vector databases like Postgres, MongoDB, Prismic, Pinecone, Qdrant, or similar technologies
Familiarity with cloud infrastructure software like AWS, Google Cloud or Azure
Track record of balancing technical depth with business priorities to deliver impactful results

Responsibilities

Guide architectural decisions, ensuring the delivery of scalable, robust, and maintainable solutions aligned with Blend’s goals
Hire, mentor, and develop a team of high-performing engineers, fostering a culture of ownership, innovation, and accountability
Collaborate with product managers, design teams, and other stakeholders to align technical execution with business objectives
Drive the end-to-end development lifecycle, including design, implementation, testing, deployment, and production maintenance
Play a key role in connecting global engineering teams, ensuring alignment across teams, tools, and processes
Conduct regular code reviews, advocate for engineering best practices, and encourage technical excellence

Skills

Applied AI

Engineering Management

Software Architecture

Scalable Systems

Team Leadership

Mentorship

Hiring

Technical Strategy

Cross-functional Collaboration

Blend

Streamlines lending process for financial institutions

About Blend

Blend simplifies the lending process for financial institutions with its digital platform, allowing them to process over $3 billion in loans daily. The platform includes automated verifications, instant pre-approvals, and seamless electronic closings, which enhance efficiency and reduce costs. Blend stands out from competitors with its modular architecture and no-code configuration tools, enabling quick adaptation to market changes and personalized customer experiences. The company's goal is to improve loan processing efficiency and customer acquisition for its clients.

San Francisco, CaliforniaHeadquarters

2012Year Founded

$646.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

501-1,000Employees

Benefits

Meaningful equity and a 401(k) plan

Comprehensive health benefits

Wellness benefits covering a variety of wellness activities, gym memberships, fitness classes and more

16 weeks of paid parental leave

Generous vacation policy

Work from home office set up stipend and internet stipend during COVID-19

Risks

Increased competition from emerging fintechs could erode Blend's market share.

Recent stock price decline may indicate investor concerns about Blend's future.

Volatility in the FinTech IPO Index suggests potential market instability for Blend.

Differentiation

Blend's platform processes over $4 billion in loans daily, showcasing its scalability.

The company offers a modular architecture, allowing quick adaptation to market changes.

Blend's partnerships with major banks enhance its credibility and market reach.

Upsides

Growing demand for digital lending boosts Blend's market potential.

Partnerships with fintechs like Astra enhance Blend's service offerings.

Automated workflows reduce costs and improve efficiency for financial institutions.

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