Software Engineering Senior Manager - Salesforce & AI
Wells Fargo (company site, opens in a new tab)7+ yrsTelanganaOn-siteDirect career pageEst. 35–60 LPA
Posted on 7 Sept
Reach people at Wells Fargo
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Wells Fargo you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead and oversee software engineering teams and vendor resources across Business Banking technology portfolios, focusing on lending products and platform modernization.
- Drive technology strategy, roadmap execution, and delivery of secure, scalable, and resilient solutions aligned with enterprise architecture and banking platform standards.
- Champion AI-first engineering practices to enhance software development productivity and operational resilience within Business Banking technology platforms.
Minimum Requirements
- 7+ years of software engineering experience.
- 3+ years of management or leadership experience.
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or related discipline.
- Strong experience in Business Banking, Commercial Lending, Salesforce, nCino, Lending Platforms, Data Platforms, Cloud Technologies, Java, Microservices, and AI-related technologies.
Ideal Candidate Profile
- Experienced senior technology leader with a track record managing multiple engineering teams and complex enterprise-wide technology transformations.
- Strong capability in aligning technology strategy with business banking product goals and enterprise architecture standards.
- Demonstrated skills in AI-assisted software engineering, modernization initiatives, and managing cross-functional stakeholder relationships in large, matrixed organizations.