Company: Kiksy.ai / KiksAR Technologies Pvt. Ltd.

Experience: 4–6 years

Joining preference: Immediate joiners or candidates available to join within 15 days will be preferred.

About Kiksy.ai

Kiksy.ai builds intelligent enterprise applications that connect conversational AI, business workflows and backend systems across web, mobile, voice and messaging channels. Our solutions help customers and employees access information, complete transactions and take action through natural-language interactions.

The Opportunity

We are looking for a strong, customer-facing Business Analyst who can understand a complex application suite and progressively take ownership of its delivery. You will connect customer expectations, business requirements and engineering execution—bringing clarity to what needs to be built, how it should behave and how completion will be verified.

The role combines hands-on business analysis, customer management and scrum coordination. You must be comfortable leading discussions with international stakeholders, challenging unclear requirements and driving commitments through to closure.

What you will own

- Application and domain understanding: Develop a working understanding of the complete application suite, including customer journeys, conversational interfaces, identity and authentication, reservations, backend APIs, business rules and integrations.
- Requirements and functional design: Run discovery workshops and translate business needs into process flows, functional specifications, user stories and measurable acceptance criteria. Cover exceptions, permissions, failure scenarios and dependencies—not just the happy path.
- Customer communication: Lead requirements discussions, clarifications, progress reviews and demonstrations with customer stakeholders. Communicate decisions, risks and trade-offs clearly, and maintain an accurate record of commitments.
- Backlog and scope management: Own backlog readiness, prioritisation and requirements traceability. Identify scope changes early, assess their impact with engineering and obtain agreement before they become delivery commitments.
- Scrum and delivery coordination: Facilitate sprint planning, refinement, stand-ups, reviews and retrospectives. Track dependencies and blockers across development, QA, design and customer teams,



with explicit owners and closure dates.
- AI behaviour and evaluation: Define expected conversational behaviour, context handling, backend response validation, fallback flows and escalation scenarios. Translate these into testable criteria covering accuracy, task completion, incorrect confirmations and inappropriate actions.
- Quality and acceptance: Work with QA to build meaningful business scenarios and regression coverage. Coordinate UAT, defect prioritisation and acceptance evidence, ensuring demonstrations and handovers reflect verified functionality.
- AI-driven development practices: Use AI-assisted methods to accelerate analysis, specification, backlog preparation, test design and documentation, while validating outputs and protecting customer information.

What we are looking for

- Relevant experience: 4–6 years in business analysis for enterprise software, SaaS or digital applications, with demonstrated ownership beyond documentation.
- Exceptional communication: Excellent spoken and written English, including the ability to lead customer workshops, explain technical dependencies in business terms and handle difficult conversations professionally.
- Cross-border collaboration: Experience working directly with international customers and distributed teams across time zones, coordinating business and engineering stakeholders through delivery.
- Agile delivery: Strong practical understanding of Agile/Scrum, backlog management, estimation discussions, sprint execution and release readiness.
- AI-DLC experience: Hands-on experience with an AI-driven development lifecycle (AI-DLC/AIDLC) or equivalent AI-assisted delivery practices across requirements, design, development and testing. Candidates should demonstrate specific workflows, human review checkpoints and results.
- AI application understanding: Experience with conversational AI, AI agents, workflow automation or applications using LLMs,



including their limitations and the need for deterministic business controls.
- Technical fluency: Ability to understand API contracts, request/response flows, authentication, data mapping and system dependencies, and discuss them effectively with developers and architects.
- Tools: Proficiency with Jira or Azure DevOps, Confluence, process-mapping tools and API-testing tools such as Postman.
- Ownership: Strong follow-through: identify ambiguity, secure decisions, escalate blockers early and verify closure.

Experience that would be valuable
- Reservation, booking, travel, aviation, hospitality or other transaction-intensive applications.
- Omnichannel journeys spanning web, mobile, voice, SMS or WhatsApp.
- CRM integrations, backend-for-frontend services, identity platforms and role-based access.
- SQL, log analysis or basic data analysis for investigating functional issues.
- Experience supporting a Scrum Master, Product Owner or delivery lead while retaining hands-on BA responsibilities.

What success looks like in the first 90 days
- Understand and clearly explain the application suite, its business workflows and major integration dependencies.
- Establish a prioritised backlog with clear acceptance criteria and traceability to customer requirements.
- Independently lead customer reviews and sprint ceremonies with reliable follow-through.
- Improve visibility into delivery status, unresolved decisions, defects and customer dependencies.
- Drive at least one agreed release or delivery milestone through requirements clarification, validation and customer acceptance.

How we will assess candidates The selection process will include a practical application scenario. You will be asked to map a customer journey, clarify ambiguous requirements, write user stories and acceptance criteria, identify integration risks and present a delivery approach. We will also discuss a real example of how you used AI-assisted development practices and validated the resulting work.

To apply

Share your CV to [email protected], notice period and earliest joining date, along with a short summary of an application you helped deliver, your role in managing international customers, and one concrete example of using AI to improve the development lifecycle.

📌 Business Analyst and Delivery Lead (Bengaluru)
🏢 Kiksy.ai
📍 Bengaluru