
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
🔥 13 hours ago
🇺🇸 United States – Remote
💵 $225k - $325k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
• Define and drive the long-term engineering vision, strategy, and roadmap • Partner with executive leadership (CTO, Product, Sales and Sales Ops Leaders) to align technology initiatives with business objectives • Evaluate emerging technologies (Generative AI, Agentic AI, LLMs, MCP, automation platforms) and translate them into measurable business value • Lead technology transformation, modernization, and innovation efforts • Oversee end-to-end software development lifecycle (SDLC) including architecture, development, testing, release, and operations • Ensure delivery of high-quality, scalable, secure, and reliable software systems • Establish and monitor engineering KPIs (velocity, quality, uptime, cost efficiency) • Establish an AI-first software engineering framework leveraging GenAI-assisted development, intelligent testing, code generation, documentation, and deployment automation to significantly improve developer productivity and software quality • Drive architectural decisions, platform strategy, and technology standards • Ensure modern engineering practices (cloud-native, microservices, DevOps, CI/CD, AI integration where relevant) • Balance build vs. buy decisions and optimize technology investments • Work closely with Product Management to deliver customer-centric solutions • Partner with sales and sales ops team to listen to voice of customer and improve customer satisfaction • Partner with Security, Infrastructure, Data, and Operations to ensure integrated delivery and governance for responsible AI • Align with finance and business leaders on budgeting and ROI for investment • Establish governance, processes, and best practices for engineering operations • Improve engineering productivity, quality, and predictability • Manage budgets, vendor relationships, and external partners • Build, lead, and scale high-performing engineering teams across multiple disciplines while fostering an AI-first culture emphasizing continuous learning and upskilling • Recruit, mentor, and retain top engineering talent and while ensuring we have succession plans & leadership pipelines
• 15+ years of software engineering experience with at least 5+ years in senior leadership roles • Proven track record of leading distributed engineering teams in US and overseas • Experience delivering complex, enterprise-scale or high-growth SaaS platforms with high availability, scalability and performance (SLA & RTO) • Experience developing AI-enabled customer-facing products or integrating AI capabilities into enterprise applications • Experience in setting up framework to establish delivery predictability and cycle time improvements • Strong background in modern software architectures (AWS, APIs, MCPs) • Experience with DevOps, CI/CD pipelines, and agile methodologies • Understanding of Generative AI, LLMs, AI application architecture, integrating AI services, and responsible AI practices/governance • Experience in B2B frontend UI, backend microservices and batch job development • Knowledgeable about REST, Node.js, React, Python, Terraform, AWS RDS • Bachelor's or Master's degree in Computer Science, Engineering, or related field (MBA preferred but optional)
• Comprehensive executive level total rewards package • Flexible time off including unlimited vacation, volunteer time off, and 12 paid holidays • Core benefits including medical, dental, vision, and matching 401K
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