Location: Bengaluru (HSR) In office
Experience: 24 Years
Job Type: Full-time
Level: Individual Contributor
Travel: 2030% | Store visits required
Reporting To: CXO

About us

YoYo AI helps retail brands understand what is actually happening on their shop floors. Our devices capture conversations between customers and sales staff. Our AI reads those conversations and picks out the things that decide whether a sale happens: what the customer came in for, what they hesitated over, where the pitch fell short. Sales leaders, marketers, category buyers and L&D; teams then use that to make calls they were earlier making on

instinct.

We work with brands in jewellery, apparel, electronics, furniture, auto, home improvement, hospitality and BFSI. We are building this out of Bengaluru, for India and for markets beyond it.

The role

The product generates a lot of intelligence. This job is about making sure clients can actually use it.

Retail teams change often, so you will end up explaining the same features to new people every few weeks, and you have to do that well each time.

Clients will also ask for data cuts that are not sitting on the dashboard, and you will pull those together, check them and send them out.

The part that matters most comes after all this. You notice which requests keep coming back, write them up properly, and turn them into reports that

run on their own.

What you will do

Own a set of accounts. Be the named point of contact.

Stay honest about what the product does today and what is still on the roadmap. Respond within SLA, and flag account risk before it becomes a renewal problem.

Teach, then teach again. Run onboarding, and re-run it whenever a store takes on new staff or usage starts dropping. Brief the salespeople yourself on what gets recorded and how it helps them.

Leave material behind. Simple one-pagers, short WhatsApp explainers, scripts in the languages your stores actually speak.





Answer the hard questions with data. Turn vague business questions into precise queries. Check every number against the source conversations.

Send back a short brief with a recommendation, not a data dump.

Automate what repeats. Write recurring requests up as specifications an agent can build from, get them built, and test the automated version against your own before it goes live. Accuracy stops with you.

Turn wins into proof. Capture baseline metrics at deployment, write up case studies with the client's numbers and consent, and take churn patterns back to Product.

What we are looking for

Must have

- 2 to 4 years at a SaaS company, or in a customer support or analyst role
- Any graduate degree. We are not particular about the college or the stream
- Fluent English and Hindi. A third Indian language (Kannada, Tamil, Telugu, Marathi, Malayalam, Gujarati or Bengali) counts for a lot, since you will spend real time on store floors and not only in HQ meeting rooms
- Written English good enough to publish, because case studies go out under our name
- Excel or Sheets at pivot-table level, and the eye to notice when a figure on a dashboard looks off
- Comfort with AI tools, both to build with and to be sceptical of. You should catch output that is confidently wrong before a client sees it
- Comfort owning your accounts without a team under you, and reaching for automation rather than headcount when the work grows
- The patience to explain something for the fourth time, and the spine to tell a senior stakeholder that the product does not do what they are asking for

Good to have

- Heavy hands-on LLM usage.
- You already write your own prompts, chain steps together, and have a view on where these tools break
- Offline retail experience, especially store operations or sales training
- Basic SQL, or experience writing report requirements for a technical
- team
- A ticketing tool such as Freshdesk, Zoho Desk or Intercom, and any
- CRM you have kept clean

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