Manager 2, Software Engineering
Intuit · San Diego, CA · 1 wk ago
On-siteEngineeringFull-time
Responsibilities
- Lead and grow a high-performing team of software & data engineers building agentic data capabilities for semantic data modeling, data pipelines and retrieval services for Consumer Data Plane using Credit Karma and Turbotax data, ensuring data quality and governance.
- Coach and mentor engineers on modern scalable data architecture focusing on semantic data modeling, data quality & governance, data ingestion, ETL patterns, data processing, data storage and data retrieval, AI-assisted skill development for 3x developer velocity, and career growth;
- Build a strong inclusive team culture
- Bring thought leadership in AI / Gen AI, agentic systems, semantic search, knowledge graph and personalization to disrupt how consumers do their taxes, money and personal finance using Consumer Data Plane
- Provide data capabilities to Product, Marketing and AI Science teams to build data insights in Consumer Data Plane, use it to power Credit Karma and Turbotax AI-Native Experiences & Agents, Growth marketing, In-product personalization, Expert, 3rd Party surfaces, and Agentic Browsers and drive measurable improvements in engagement, approvals, tax conversions, customer benefits and NPS.
- Drive operational and engineering excellence — uptime during tax season peak load, quality, speed-to-market, developer productivity, and data-driven decision making
- Define and uphold engineering standards across the Consumer Group — code quality, CI/CD, testability, observability, SRE practices, and incident response
- Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities
- Develop roadmap for building data capabilities that align with business objectives and overall technology strategy, and run agile delivery — quarterly OKRs, sprint planning, backlog grooming, and clear stakeholder communication to drive impact to business
- Operate effectively during the high-intensity US tax season (Jan–Apr), with strong incident and release management discipline
Qualifications
- BS/MS in Computer Science, Computer Engineering or equivalent work experience
- 8+ years of software development experience, including 2+ years managing software engineering teams
- Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.
- Strong background in data ingestion, processing, storage, and querying technologies: MySQL, Spanner, Spark, Flink Streaming, Bigquery, Dataflow, Airflow, Bigtable, Cassandra, Java microservices, Spring Boot, GraphQL/REST APIs and object-oriented programming languages: Python, Java, C++
- Knowledge of AI/ML and GenAI technologies — LLMs, RAG, Semantic Search (e.g Vertex AI search, AWS cloud search) and Knowledge Graph (e.g neo4j, ..)
- Experience building 100M+ consumer-scale data pipelines and data retrieval services for SaaS or mobile applications (consumer fintech, tax, or e-commerce a strong plus)
- 3+ years of cloud experience building and operating services on AWS / GCP; experience with Lambda, container orchestration, and serverless is a plus
- Knowledge of agile methodologies (Scrum/Kanban), CI/CD pipelines, observability, and SRE practices
- Track record of building diverse, inclusive teams and developing engineers' careers
- Excellent communication skills — able to translate complex technical decisions for both technical and non-technical audiences
- Strong understanding of SOA, distributed systems, and event-driven architectures
- Experience working with Product, Marketing and AI Science partners to ship customer-facing features powered by data insights