Job Closed
This listing is no longer active.
Senior Manager, Software Engineering
Location
United States
Posted
10 days ago
Salary
$176.0K - $316.9K / year
Seniority
Senior
Job Description
Senior Manager, Software Engineering
Experian
• You will lead engineering teams building platform capabilities and solutions for our clients using Experian bureau data and other 3rd party data • You will build data pipelines at scale for our batch clients and integrating with 3rd party providers for our real-time clients • You will also advocate for using AI and GenAI technologies across the team, including LLM-powered services, agentic workflows, MCP-based integrations, and Claude Skills for extending agent capabilities • Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency • Create platform evolution, including modernization, observability, AI-enablement, and CI/CD best practices • Collaborate with partners to define the long-term vision and roadmap for the API platform, including how you will embed AI capabilities, MCP integrations, and Claude skills into the ecosystem • Ensure the team follows software engineering best practices including testing, code reviews, and documentation • Guide the use of latest technologies that support real-time processing, event streaming, performance optimization, and AI/LLM integration • Lead the delivery of AI-powered features including LLM integrations, retrieval-augmented generation (RAG), agentic workflows, MCP server/client implementations, and authoring of Claude Skills • Establish best practices for AI-enabled systems including prompt engineering, evaluation frameworks, model observability, and responsible AI guardrails • Guide the design and adoption of test harness frameworks across unit, integration, contract, performance, and end-to-end testing layers • Establish AI/LLM-specific evaluation harnesses for prompt regression, output quality scoring, hallucination detection, and evaluation of agentic and MCP-based workflows • Champion shift-left testing, automated regression suites, and quality gates integrated into CI/CD pipelines • Work with Product Management, DevOps, Data Science, QA, and other engineering teams to align technical plans with our goals • Partner with security, compliance, and infrastructure teams to ensure platform meets standards • Manage the delivery lifecycle of major platform plans • Track important performance metrics and ensure continuous improvement • Manage the delivery of insightful dashboards and data visualizations
Job Requirements
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of software engineering experience
- 3+ years in engineering leadership roles
- Experience managing real-time, high-throughput API platforms in production environments
- You have hands-on experience delivering AI/ML or GenAI projects in production
- Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem (e.g., Claude, OpenAI, LangChain, LlamaIndex, or similar agent frameworks)
- Experience authoring or working with Claude Skills (or analogous capability-extension frameworks) to package domain expertise for AI agents
- Background in test engineering and quality automation, including building or scaling test harness frameworks (e.g., JUnit, pytest, TestNG, Cypress, Playwright, k6, JMeter, and Pact for contract testing)
- Experience designing evaluation harnesses for AI/LLM systems
- Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
- Experience with API gateways, load balancing, caching, and observability tools (Kibana, Grafana, Datadog, and Prometheus)
- Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
- Experience developing ML Ops capabilities
- Data Science & ML experience
- DevOps Knowledge: Docker and Kubernetes
Benefits
- Flexible Time Off: 20 Days
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Related Guides
Related Categories
Related Job Pages
More Engineering Manager Jobs
Role Description - Collaborate with our development team to design, develop, and maintain websites using WordPress and Typescript/React. - Troubleshoot and debug issues that arise on existing websites. - Keep up-to-date with emerging trends in web development and make suggestions for improvements to our processes and workflows. - Participate in team meetings and provide regular status updates on projects. - Complete assigned tasks on time and with a high level of quality. Requirements - Pursuing a degree in Computer Science or a related field. - Coding fundamentals - knowledge of basic algorithms and data structures and a strong command of at least one programming language. - Good communication skills and ability to work collaboratively in a team environment. - Attention to detail and ability to troubleshoot and debug issues. - Self-motivated and able to work independently. Benefits This is a paid internship position with a flexible work schedule. The internship is expected to last for 3-6 months, depending on the candidate's availability and performance. At the end of the internship, there may be an opportunity for a full-time position with our company. What you can expect during your internship: - Opportunities to gain hands-on experience with industry-standard tools and technologies. - Collaborative and supportive work environment. - Potential for full-time employment after completion of internship. - Flexible work schedule and ability to work remotely.
• Build and maintain relationships with key client decision makers • Provide thought leadership for client’s CTO, enterprise architects • Participate in sales planning activities and contact existing clients • Enable and train internal presales and field sales teams on industry trends
• Manage .NET engineers by setting expectations, running effective 1:1s, and owning each engineer's growth and performance. • Write production code and review PRs with genuine depth; your technical credibility is the foundation of your coaching. • Mentor engineers across all three dimensions: modern .NET patterns and practices, general engineering craft (design, testing, review culture, observability), and career development. • Partner with our .NET Architect on the ongoing migration from .NET Framework to .NET Core — owning delivery sequencing, removing blockers, and contributing directly to code migrations. • Hold delivery accountability for two non-US-based DevOps engineers and one part-time contractor — ensure work is understood, assigned, and completed without unnecessary delay. • Run sprint ceremonies in partnership with our Delivery Manager; keep the team well-coordinated with dependent product and infrastructure work. • Maintain working knowledge of our AWS and Azure environments sufficient to ask the right questions, assess risk, and escalate appropriately.
Engineering Manager – AI Agents
LottieA family’s trusted (& free) guide to best understand, find and fund care.
• Owning the technical roadmap for Eliza and our AI agents product line. • Coding alongside the team — a hands-on leadership role. • Building and line managing a team of product engineers. • Sharing the product hat with our GM, supported by our CPTO. • High bar on both speed and quality, balancing between the two depending on context. • Deepening Eliza's integration with Found.


