Senior Manager, Software Engineering (Lake Analytics Platform)

Описание вакансии

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.

What You’ll Do

• Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
• Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
• Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
• Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
• Work across the engineering organization and with internal and external partners.
• Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
• Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
• Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
• In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
• Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

What We Look For

• Solid leadership and interpersonal skills.
• 10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
• Proven track record in stakeholder management, ownership, and successful delivery.
• Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
• Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
• Capable of mentorship, cross-functional project execution, and individual contribution.
• Strong interpersonal, written, and verbal communication skills with a growth mindset.
• Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
• Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.

Pay Grade - R

Equity Grade - 9

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $206,000 - $256,000

This posting is for an existing vacancy

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: 

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

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