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About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.
AI & Automation Engineer - Marketing
A software engineer first - who builds the automation pipelines and AI agents that run inside Marketing's workflows. You make AI reliable in the real world: prototype fast, harden for production, own it end to end.
01 THE ROLE
You're a software engineer first - clean code, solid systems, reliability that holds in production. On top of that,
you bring AI into Marketing's day-to-day: automation pipelines that turn campaign, content, and lead data
into action, and AI agents that reason, use tools, and take action inside marketing workflows. You rapidly
prototype to prove what works, then harden it for production.
You own the full stack: API design, cloud infra, AI integration, business rules, evaluation, monitoring, and the
feedback loops that make systems smarter. Marketing is the domain you serve - you don't need to come in
fluent in it, but you should be curious enough to learn how campaigns, content, and lead scoring actually
work.
02 WHAT YOU'LL OWN
▪ Re-engineer the process before automating it - map the marketing workflow, cut the steps that
shouldn't exist, then design the automation around the improved process, not the old one.
▪ Build end-to-end automation - connect marketing inputs (leads, campaign data, content requests,
forms) to outputs like scored leads, personalized content, and routed campaigns, through an AI
processing layer.
▪ Design and build AI agent systems - from single-agent task executors (e.g. drafting campaign copy,
triaging inbound leads) to multi-agent pipelines where agents specialise, coordinate, and hand off.
▪ Design human-in-the-loop governance and guardrails - confidence thresholds, approval gates,
escalation paths, and hard limits on what an agent may do unsupervised, including brand and
compliance-sensitive content.
▪ Run AI operations - monitor for drift and hallucination, manage prompt and model versions, control
token cost, and catch quality regressions before marketing users do.
▪ Integrate Azure OpenAI and other LLM services into production - prompt design, context management,
response validation, tool use, and function calling.
▪ Build RAG pipelines - ingestion, chunking strategy, embedding, vector store management, and retrieval
tuning over marketing content and knowledge assets.
▪ Build and run the REST APIs and Azure services behind every pipeline, integrate marketing and CRM
systems via their APIs and standard protocols like MCP, and write the business-rule and validation layers
on top of AI output.
▪ Tie every system to a business metric - pipeline contribution, campaign performance, or content velocity
- instrument it, and report the impact you actually delivered.
03 WHAT YOU BRING
▪ Strong fundamentals - algorithms, data structures, system design. Tested thoroughly in every round.
▪ Clean, maintainable, well-tested code a teammate can extend six months later.
▪ Shipped projects end-to-end - design, build, test, deploy, monitor, maintain.
▪ Comfort with ambiguity - incomplete requirements, surprising systems, figure-it-out energy.
▪ Clear communication of technical decisions to non-technical stakeholders - marketing will be your
primary partner.
▪ A real track record of self-teaching - our tools will be different in two years.
▪ Intellectual honesty about AI limits - you say clearly what AI can and can't reliably do, and design
accordingly.
▪ Patience with non-determinism - AI fails in ways hard to reproduce; you work it systematically instead of
shipping broken things.
▪ Marketing literacy - you know what a funnel, a campaign, an MQL/SQL, and a lead score are. You know
enough so that a marketing SME doesn't have to explain the domain from scratch.
04 THE STACK
Core Engineering · Must have
Any OOP language (Python, C# or Java), REST API design, async programming, Azure Functions / App Service
(or GCP / AWS equivalent), Service Bus, SQL & data modelling, Git · CI/CD, testing
AI & Agents · Must have
Azure OpenAI (or equivalent) / LLM APIs, prompt engineering, classification & extraction, output validation,
LangChain / LangGraph, Semantic Kernel, tool use / function calling, RAG implementation, MCP servers &
tools, agent evaluation
AI Operations & Governance · Must have
Human-in-the-loop design, agent guardrails & autonomy limits, drift & hallucination monitoring, prompt /
model version management, token cost control, eval frameworks & regression tests, outcome
instrumentation
Bonus · Nice to have
Exposure to marketing or CRM platforms (Salesforce, Dynamics 365, marketing automation tools), vector DB
internals, LLM observability, fine-tuning, TypeScript / Node.js - none required, all a plus.
05 HOW WE HIRE
▪ 01 · HR - Screen: Communication, culture fit, work ethic.
▪ 02 · HackerRank Test. 85% is the cutoff percentage.
▪ 03 · Tech - Build with us: System design + live coding across automation & agents. Video on, computer &
solid internet required.
▪ 04 · HR - Final round: Offer & wrap-up.
LOCATION - Hyderabad / Bengaluru
HOURS - 12:00–9:00 PM IST
EXPERIENCE - 2–4 years
TEAM - Marketing Technology
Show us something you've shipped.
A GitHub repo, a deployed system, or a detailed write-up of a real project beats any certification. If clean
code and hard problems are your thing - you belong here.
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email [email protected] For any inquiries not related to an accommodation please reach out to [email protected].
Commvault's Privacy Policy
Skills Required
- 2-4 years of professional experience
- Strong algorithms, data structures, and system design fundamentals
- Experience shipping software projects end to end, including design, development, testing, deployment, monitoring, and maintenance
- Proficiency in an object-oriented programming language such as Python, C#, or Java
- REST API design and async programming experience
- Experience with Azure Functions, Azure App Service, or an equivalent AWS or GCP service
- Experience with Service Bus or equivalent messaging technology
- SQL and data modeling experience
- Git, CI/CD, and software testing experience
- Experience with Azure OpenAI or equivalent LLM APIs
- Prompt engineering, classification, extraction, and AI output validation
- Experience with LangChain, LangGraph, or Semantic Kernel
- Tool use and function calling
- RAG implementation, including ingestion, chunking, embeddings, vector stores, and retrieval tuning
- MCP servers and tools
- Agent evaluation and regression testing
- Human-in-the-loop design, agent guardrails, autonomy limits, and AI governance
- Monitoring for model drift and hallucinations, plus prompt and model version management
- Token cost control and outcome instrumentation
- Clear communication with non-technical stakeholders
- Marketing literacy, including funnels, campaigns, MQLs, SQLs, and lead scoring
- Marketing or CRM platform experience, such as Salesforce or Dynamics 365
- Vector database internals, LLM observability, or fine-tuning experience
- TypeScript or Node.js experience
Commvault Systems, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commvault Systems, Inc. and has not been reviewed or approved by Commvault Systems, Inc..
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Healthcare Strength — Healthcare options are broad, with multiple medical plan choices alongside dental, vision, mental‑health resources, and fertility support. These offerings, paired with EAP and wellbeing tools, are often regarded as a strong part of the package.
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Leave & Time Off Breadth — Time off includes manager‑approved Freedom PTO, paid holidays, and sick time. The breadth and flexibility are commonly seen as strengths.
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Equity Value & Accessibility — An employee stock purchase plan with a discounted, look‑back feature provides accessible ownership upside. This equity component is often viewed as a standout element of the total package.
Commvault Systems, Inc. Insights
What We Do
Commvault's data protection and information management solutions provide mid- and enterprise-level organizations worldwide with a significantly better way to get value from their data Commvault can help companies protect, access and use all of their data, anywhere and anytime, turning data into a powerful strategic asset.
