
Sr AI Engineer
Zuora · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Build AI agents integrating with enterprise systems.
- Utilize AI coding assistants for faster development.
- Prototype and ship AI-powered internal tools.
- Enhance existing codebases with AI capabilities.
- Architect RAG pipelines and agentic workflows.
About the role
About Zuora
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
The Opportunity
As a Senior AI Engineer, you will be a high-velocity builder within our Corporate Operations team, bridging the gap between raw LLM capabilities and functional enterprise software.
You will thrive in a vibe coding environment, using AI to accelerate development, rapidly prototype ideas, and maintain a flow state while shipping impactful code. This is an opportunity to contribute to a forward-thinking company during a critical transformative phase, where your expertise will directly shape our business evolution.
In This Role, You Will
- Design and build the glue between AI agents and core business systems such as Salesforce, NetSuite, Slack, and other internal platforms using APIs, events, and webhooks
- Leverage modern AI coding assistants such as Cursor and Codex to accelerate development, generate boilerplate, debug issues, and refactor quickly
- Rapidly prototype and ship AI-powered internal tools in a high-velocity environment, moving from concept to production with strong engineering judgment
- Parse, understand, and enhance existing internal codebases, integrating AI capabilities into brownfield systems without disrupting production workflows
- Architect advanced RAG pipelines and agentic workflows that bring context-aware intelligence to internal knowledge and operational systems
- Implement rigorous evaluation and testing approaches for AI outputs to ensure speed does not compromise accuracy, security, or trust
- Collaborate with stakeholders across the enterprise to deliver solutions that improve how work gets done
- Assist colleagues with design and coding best practices, including code reviews, documentation, and maintainable implementation patterns
- Partner with Enterprise Architecture and adjacent teams to ensure AI integrations align with the broader digital ecosystem
- Lead troubleshooting for production issues in AI-enabled workflows, perform root-cause analysis, and help build support-ready systems
Your work will directly influence company objectives by accelerating internal tool delivery, improving how teams interact with enterprise systems, and making AI genuinely actionable inside Corporate Operations.
About You
You are a passionate and experienced builder who enjoys solving meaningful business problems with practical AI-powered solutions. You are equally comfortable thinking big picture and diving deep into technical details, and you thrive in fast-moving environments where experimentation and iteration are valued.
You Likely Bring
- 8+ years of relevant work experience and a Bachelor’s degree in Computer Science or a related technical discipline
- 5+ years of experience as a full-stack developer
- Strong experience building integrations with REST APIs, webhooks, and middleware technologies
- Demonstrated expertise in AI-augmented programming and vibe coding, using LLMs to write code, explore new libraries quickly, and automate repetitive engineering work
- Exceptional ability to jump into existing codebases in Python and JavaScript/TypeScript, understand the logic, and implement enhancements or integrations safely
- Familiarity with LangChain, LlamaIndex, vector databases, prompt engineering, and RAG design patterns
- Experience designing or contributing to agentic workflows and context-aware AI applications
- Strong problem-solving instincts and the ability to figure out how systems work without waiting for perfect documentation
- Excellent listening, communication, and presentation skills
- The ability and desire to learn new technologies and development tools
About The Team
Join a team of skilled professionals in a collaborative and innovative environment that values continuous learning, creativity, and challenge.Our team is focused on shaping the future of how work gets done at Zuora through intelligent automation, interoperability, and rapid iteration. You’ll work on challenging projects that stretch your skills and creativity, whether that means building integrations between AI agents and enterprise systems, prototyping new internal tools, or enhancing existing applications with LLM capabilities.
You’ll also have the opportunity to grow professionally by working with cutting-edge technologies, collaborating with industry experts, and expanding your skill set.
Our tech stack includes: JavaScript/TypeScript, Python, LLM APIs, LangChain, LlamaIndex, vector databases, MCP, RAG, REST APIs, webhooks, Slack, Salesforce, Jira, and internal enterprise systems.
Benefits
Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:
- Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- Medical, dental, and vision insurance
- Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
- Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
- Learning & development stipend to support ongoing growth
- Opportunities to volunteer and give back, including charitable donation matching where available
- Mental wellbeing resources and support
Benefits may vary by location; details will be shared during the interview process.
#ZEOLife at Zuora
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
- Collaborate deeply across teams and regions
- Learn constantly and iterate often
- Build an inclusive, high-performance culture where people feel inspired, connected, and valued
Our Commitment to an Inclusive Workplace
Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.
Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).
The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.
Base Pay Details
$124,500—$171,250 USD
Key skills/competency
- Senior AI Engineer
- AI Agents
- LLM APIs
- API Integrations
- REST APIs
- Webhooks
- Python
- JavaScript/TypeScript
- LangChain
- RAG
Skills & topics
- AI Engineer
- Senior AI Engineer
- Artificial Intelligence
- Machine Learning
- LLM
- API Integrations
- Python
- JavaScript
- Full-stack Development
- Software Engineering
How to get hired
- Tailor your resume: Highlight your experience with AI-augmented programming, API integrations (REST, webhooks), and full-stack development in Python and JavaScript/TypeScript.
- Showcase AI expertise: Emphasize your familiarity with LangChain, LlamaIndex, vector databases, prompt engineering, RAG, and agentic workflows.
- Demonstrate problem-solving: Provide examples of how you've integrated AI into existing systems or solved complex business problems with AI solutions.
- Prepare for technical interviews: Be ready to discuss AI concepts, coding practices, and how you'd approach challenges in a high-velocity environment.
- Understand Zuora's mission: Research Zuora's role in the Subscription Economy and how AI is shaping their business evolution.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the typical career growth for a Senior AI Engineer at Zuora?
- As a Senior AI Engineer at Zuora, career growth can involve deepening your technical expertise in AI, leading AI initiatives, mentoring junior engineers, or moving into more specialized AI research or architecture roles. Your contributions to shaping the company's AI-driven evolution will be key to your advancement.
- What AI technologies are most critical for this Senior AI Engineer role at Zuora?
- Critical AI technologies for this role include experience with LLM APIs, AI coding assistants like Cursor and Codex, frameworks such as LangChain and LlamaIndex, vector databases, prompt engineering, RAG design patterns, and architecting agentic workflows.
- How does Zuora foster a 'vibe coding' or high-velocity environment for AI Engineers?
- Zuora promotes a 'vibe coding' environment by encouraging rapid prototyping, using AI tools to accelerate development, and maintaining a flow state to ship impactful code quickly. The focus is on moving from concept to production with strong engineering judgment in a fast-paced setting.
- What kind of business problems does a Senior AI Engineer at Zuora solve?
- A Senior AI Engineer at Zuora solves business problems by bridging LLM capabilities with enterprise software. This includes designing integrations between AI agents and systems like Salesforce, developing AI-powered internal tools, and enhancing existing codebases with AI to improve operational efficiency and how teams interact with systems.
- What are the key integrations a Senior AI Engineer will work with at Zuora?
- Key integrations for this role involve connecting AI agents to core business systems such as Salesforce, NetSuite, and Slack, utilizing APIs, events, and webhooks. You'll also work with internal enterprise systems to enhance their functionality with AI.
- Does Zuora support continuous learning for its AI Engineers?
- Yes, Zuora emphasizes continuous learning and professional growth. They offer a learning & development stipend and encourage employees to work with cutting-edge technologies, collaborate with experts, and expand their skill sets, which is ideal for staying current in the AI field.