S

Starbucks

Runs coffeehouses and licenses its coffee brand

Manager Application Development - Salesforce, Application Development

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNashville, TN, USA

About the Job

Requirements

  • 8–10+ years of experience in product management, software development, technology delivery, and operations.
  • 5 years of experience managing systems or application development projects, including large systems.
  • 3–5 years of experience leading or managing technical teams.
  • Experience managing enterprise integration platforms such as MuleSoft and APIs supporting SaaS applications.
  • A bachelor's degree in computer science or a related field, or equivalent experience.
  • Experience with the Salesforce platform, including Service Cloud, Experience Cloud, and Sales Cloud.
  • Experience with integrations and APIs; MuleSoft experience is preferred.
  • Working knowledge of DevOps, continuous integration and delivery, automated testing, and building high-quality, reusable software.
  • Understanding of application architecture, infrastructure and security, service-oriented architecture, and service management.
  • Hands-on leadership of MuleSoft Anypoint Platform, including API design, RAML/OAS, DataWeave, CloudHub/runtime management, API Manager, and enterprise integration patterns.
  • Experience delivering Salesforce Agentforce, Einstein/generative AI, or other agentic AI solutions in production, including prompt design, grounding on CRM/Data Cloud data, and the Einstein Trust Layer.
  • Familiarity with AI governance, responsible-AI practices, and AI-assisted software development tools.
  • Domain proficiency across APIs, data models, business rules, batch jobs, user interfaces, and application configuration management.
  • Strong grasp of the software development lifecycle and technology operations, with user-centric design practiced through Agile Scrum.
  • Awareness of industry trends and experience with partner, licensee, channel, or legal business processes.
  • Proven ability to hire and grow a technical team and lead cross-functional teams of architects, analysts, technical product managers, developers, and QA.
  • Ability to influence roadmaps and decisions and communicate effectively with technical and business partners, including senior leadership.
  • Analytical decision-making and ability to balance competing priorities in ambiguous situations.

Responsibilities

  • Lead a team that designs, builds, tests, deploys, and supports technology products used by Starbucks Licensees, Global Channel Development, and Legal partners.
  • Manage application developers and technical product managers and be accountable for product and service outcomes from strategy and roadmap through engineering delivery and daily operations.
  • Own a portfolio of internal and external products built on Salesforce, including CRM, Digital Hubs, and Contract Lifecycle Management, serving licensees, channel partners, Legal, and internal users.
  • Own the MuleSoft integration layer connecting Salesforce products to enterprise systems, and lead adoption of Salesforce Agentforce and AI-assisted development.
  • Craft a technology vision and capability roadmap aligned to business objectives; ensure work is resourced, structured, budgeted, and prioritized; and build a culture of engineering quality, customer service, and continuous improvement.
  • Lead and manage developers and technical product managers by setting goals and responsibilities.
  • Hire, coach, and develop team members through regular feedback, performance management, talent planning, and career development, and make staffing decisions.
  • Provide technical leadership, foster innovation, coach cross-functional team members, and ensure compliance with company policies.
  • Plan resources across internal partners, staff augmentation, and offshore delivery partners.
  • Own product and service vision, strategy, and capability roadmaps aligned to International Retail, Global Channel Development, and Legal objectives.
  • Serve as the focal point for solutions, including application configuration and services, and champion user experience and user-centric design.
  • Evaluate technologies and solution approaches, assessing benefits, costs, and viability before recommending investments.
  • Own the MuleSoft Anypoint integration platform, including APIs and integrations; runtime upgrades, API lifecycle, reuse, and platform health.
  • Lead Salesforce Agentforce and related AI capabilities, including use cases for licensees, partners, and internal users, and AI-assisted development practices.
  • Lead planning and execution by decomposing, estimating, scheduling, prioritizing, and allocating work using agile and waterfall methods as appropriate.
  • Drive solution design, including requirements, assessment, and backlog refinement, and coordinate architecture, development, QA, and dependencies throughout delivery.
  • Deliver secure, durable, scalable, flexible, and accessible solutions using established design patterns and coding standards.
  • Build a test-driven development culture with automated test coverage and continuous integration and delivery.
  • Steward platform vision and investments, balancing innovation with technical-debt reduction.
  • Partner with Architecture, Security, Infrastructure, and QA, and follow enterprise governance processes.
  • Lead exploratory work with new technology and represent the platform in Starbucks Technology planning.
  • Own the MuleSoft integration platform strategy and roadmap, including API-led connectivity, reusable APIs, runtime currency and upgrades, monitoring and observability, security, client-secret and certificate rotation, and capacity management.
  • Partner with Enterprise Architecture, Security, and MuleSoft/Salesforce account teams on technical health reviews, API value realization, and integration standards.
  • Identify, evaluate, and prioritize AI use cases, including Agentforce agents for licensee and partner service, case handling, contract, and access workflows; run proofs of concept with clear success criteria and cost and capacity trade-offs.
  • Establish responsible-AI guardrails with Legal, Security, and Data partners, covering data access, privacy, AI contract terms, human-in-the-loop controls, and production agent governance.
  • Drive adoption of AI-assisted development and testing, including code generation, test automation, and agent orchestration such as MuleSoft Agent Fabric, to improve team velocity and quality, and build team AI skills.
  • Measure and communicate AI outcomes, including adoption, productivity, cost, and user experience, to business and technology leadership.
  • Own support processes and documentation for all products, including a 24x7 support model leveraging offshore options.
  • Track operational metrics, KPIs, and uptime, and lead responses to high-severity incidents.
  • Drive root-cause analysis and trend reviews to prevent recurring issues and improve stability.
  • Manage offshore delivery partners and SaaS vendors, including Salesforce and Conga, covering contracts, service-level agreements, and delivery quality.
  • Influence vendor product roadmaps so platform capabilities keep pace with business needs.
  • Partner with the PMO on project investments and initiation, defining scope, budget, business case, and resources.
  • Manage team expenses and vendor spend, ensuring work is budgeted and prioritized against business value.
  • Build trusted partnerships with leaders in International Retail, Global Channel Development, and Legal, translating business needs into technology outcomes.
  • Communicate plans, progress, risks, and trade-offs to technical and business audiences, including senior leadership.

Desired Qualifications

  • Experience with integrations and APIs; MuleSoft experience is preferred.

About the Company

Starbucks

Runs coffeehouses and licenses its coffee brand

Starbucks runs coffeehouses around the world that serve espresso drinks, brewed coffee, tea, and food, and it roasts the arabica coffee its stores sell. It grew from a single Seattle shop selling beans into the world's largest coffeehouse chain, and it helped make Italian-style espresso drinks such as lattes an everyday habit in the United States. Customers order at the counter, at drive-throughs, or ahead through the Starbucks app, whose rewards program trades points for free drinks and food. The company earns money from cafés it operates itself and from fees paid by licensed stores in places such as airports and grocery stores. Starbucks was founded in 1971 and is based in Seattle.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1971

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