Senior Product Software Engineer

• The Senior Product Software Engineer (AI native) will own software solutions from discovery through production, translating customer and business needs into secure, reliable, scalable, and maintainable software products
• Takes ambiguous team-level problems and works across stakeholders to define requirements, shape solution approaches, coordinate dependencies, and deliver successful outcomes
• Exercises sound engineering judgment and uses approved AI-assisted development and automation tools where appropriate, while remaining accountable for the quality, correctness, security, and operational readiness of all work approved or released
• Serves as a technical resource within the team and helps strengthen the capability of less experienced engineers
• End-to-End Solution Ownership: Own software solutions from discovery through production, translating customer, business, and technical requirements into sustainable outcomes
• Problem Definition and Solution Design: Analyze ambiguous requirements, clarify objectives, evaluate alternatives, and determine solution strategies
• Software Development: Design, develop, test, implement, maintain, and improve software applications, services, and platforms using direct and approved AI-assisted approaches
• AI-Assisted Engineering: Apply approved AI-assisted techniques while validating outputs and maintaining accountability for architecture, quality, security, and operational readiness
• Specification Development: Document requirements, design approaches, acceptance criteria, dependencies, risks, and implementation considerations
• Verification and Validation: Determine and execute testing and verification approaches based on complexity, risk, and business impact
• Technical Guidance: Provide technical guidance through design reviews, code reviews, knowledge sharing, mentoring, and engineering best practices
• Troubleshooting and Production Support: Diagnose and resolve cross-component, production, and system-level issues and implement sustainable corrective actions
• Security and Compliance: Apply security, privacy, compliance, and data-protection requirements throughout the lifecycle
• Product and Stakeholder Collaboration: Partner with product, design, architecture, operations, security, and business stakeholders to shape solutions
• Performance and Reliability Improvement: Improve performance, scalability, reliability, resiliency, and maintainability while reducing operational risk
• Continuous Improvement: Improve engineering processes, delivery effectiveness, and team capability through automation, standardization, and knowledge sharing
• Customer and Business Awareness: Consider customer impact, product strategy, operational implications, and business outcomes in technical decisions
• Applies specification-driven and evaluation-driven approaches to ambiguous work. Provides context, constraints, and evaluation criteria, validates generated output, and coaches others on appropriate responsible use
• Every engineer remains accountable for the work approved or released, regardless of whether the work was produced directly or with approved AI assistance. AI-generated output remains unverified input until it has been reviewed and validated through practices appropriate to the associated risk
• Determine the testing and validation needed within the assigned area
• Ensure solutions meet quality, reliability, security, compliance, and operational expectations
• Define and evaluate acceptance criteria
• Produce appropriate evidence of readiness for production use
• Identify, manage, and escal...

Education (Required):

Bachelor’s degree in a relevant field, or equivalent demonstrated experience

Work Experience (Required):

4-6 years of relevant experience in product software engineering

Application Security Principles:

The ability to apply application security controls that prevent, detect, and respond to vulnerabilities, including secure coding, access control, authentication, and security testing

Agile:

The ability to respond to change swiftly and effectively, with emphasis on continuous improvement, adaptive planning, and flexibility

Design:

The ability to structure software so it is understandable, changeable, secure, operable, and fit for the problem. Includes decomposing systems, defining interfaces and contracts, selecting appropriate patterns, and designing for testability

Analysis:

The ability to examine complex situations or problems, break them into smaller parts, and understand how the parts work together

Problem Solving:

The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and choosing and implementing the most effective course of a