engineering manager, Data and AI Platform engineering (Seattle, WA) jobs in United States
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Starbucks · 9 hours ago

engineering manager, Data and AI Platform engineering (Seattle, WA)

Starbucks is a company known for celebrating coffee and developing extraordinary leaders. They are seeking a hands-on Engineering Manager to lead the development and evolution of their AI and Data Platforms within the Data & Analytics organization, focusing on building data-driven and AI-powered products.

CoffeeFood and BeverageRestaurantsTea
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H1B Sponsor Likelynote

Responsibilities

Develop technology vision and roadmap for data, ML and agentic AI platform focusing on security, scalability and reliability
Partner with data science, data engineering, governance and product teams to understand product strategy, and deliver platform and developer solutions
Lead discussions with business stakeholders and craft solutions/improvements to advance both technical strategy and business capabilities
Exhibit strong initiative: self-starter that can lead in ambiguous situations. Able to influence/drive others toward common goals
Stay abreast of emerging technologies and lead in new idea generation and evaluations cross functionally. Able to manage multiple initiatives of innovation and converge them into common strategic initiatives
Lead and mentor a team of infrastructure, platform and AI engineers, fostering a culture of innovation and excellence
Challenges and inspires team members to achieve business results
Provides coaching, direction and leadership support to team members to achieve business and customer results
Oversee training and development of partners directly and indirectly and make effective staffing decisions
Oversee the design, implementation, and management of core infrastructure components (cloud, networking, storage, compute) to ensure they are scalable, reliable, secure, and cost-effective for data, ML & AI applications
Empower developers by simplifying development process including continuous integration/continuous delivery (CI/CD) pipelines, infrastructure as code (IaC), Kubernetes and automated testing
Establish and use key metrics (e.g., DORA metrics, SLOs, SLIs, error budgets) to monitor system health and drive continuous improvement in operational practices and incident management
Implement and manage monitoring, logging, and alerting to ensure the platform's health and performance
Implement foundational data infrastructure and tools required for large scale data processing including orchestration, storage, compute, and access management
Partner with Security and Architecture teams to embed security and architecture best practices and guardrails into the tools and features by design
Implement, build and manage enterprise metadata catalog & governance systems; enable advanced technical capabilities for data classification, tagging etc. to enable data for AI and agentic consumption
Drive the design and development of agentic frameworks, orchestration layers, and AI-driven product capabilities, leveraging LLMs, intelligent automation, and adaptive workflows, including prompt management, performance benchmarking etc

Qualification

AIData PlatformsCloud InfrastructureDistributed SystemsContainerizationOrchestrationMachine Learning FrameworksScripting LanguagesAgile/SCRUM MethodologiesTeam LeadershipCommunication SkillsProblem Solving

Required

Bachelor's degree in computer science or information systems or equivalent experience
Minimum 10 years of technology related work experience
Minimum 3 years managing a team of 5+ engineers
8+ years of building scalable services on top of public cloud infrastructure, preferably Azure
8+ years' experience designing, building and operating large-scale distributed systems and infrastructure
5+ years' experience with data and AI platforms (e.g. Databricks, Azure, Snowflake)
Deep knowledge of containerization & orchestration (Kubernetes, Docker), IaC and CI/CD technologies
Experience working with AI and Machine Learning frameworks (e.g. LangChain, LangGraph, Semantic Kernel, TensorFlow, PyTorch), and APIs
Proficiency with at least 1 scripting language (e.g. Python, Powershell, Go)
Proficiency in RAG pipelines, multi-agent orchestration, and tool use is critical
Skilled in Agile/SCRUM project and release management methodologies
Ability to identify, analyze and resolve complex technical issues, ensuring optimal performance, scalability and user experience
Strong communication and collaboration skills with cross-functional partners, including those with and without technical backgrounds
Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge within the technical community
Growth-minded, solution-oriented approach with a proven track record of driving projects from concept to impact
Experience in managing geographically distributed teams

Benefits

Medical, dental, vision, basic and supplemental life insurance
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
Participation in a 401(k) retirement plan with employer match
A discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement

Company

Starbucks

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Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.

H1B Sponsorship

Starbucks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (144)
2024 (140)
2023 (153)
2022 (177)
2021 (146)
2020 (149)

Funding

Current Stage
Public Company
Total Funding
$2.65B
Key Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M

Leadership Team

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Brian R. Niccol
Chairman and Chief Executive Officer
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Cathy R. Smith
CFO
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Company data provided by crunchbase