Assistant Manager - Business Sales & Operations

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops. We were selected into Google's AI Accelerator program, and we already have paying customers like Kotak and Myntra using the product in production.

Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Role Name: Founding Product Manager, Applied AI

Location: Mumbai • Hybrid •

Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesn’t ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

You’re a PM who knows the spec-to-engineer handoff is where products die. So you don’t hand off. You open Claude Code or Codex and ship the change yourself.

WHAT YOU'LL DO

Day-to-day split: roughly 60% on client work, product judgment, and shaping what to ship — 40% directly in Codex and Claude Code shipping it.

·      Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem.

·      Translate ambiguity into working systems. Clients don’t know what they want until they see it. You probe, prototype, demo, iterate — without waiting for an engineer to be free.

·      Customise the agents yourself. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code do the heavy lifting; your product judgment does the steering.

·      Diagnose creative problems sharply. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most PMs nod and forward to engineering. The good ones diagnose first, then fix.

·      Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.

·      Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create, become the foundation others work from.

WHAT YOU NEED

·      Real product judgment. You can hear “we need a dashboard” and figure out the actual problem is “the marketing director doesn’t trust the agent’s decisions yet.” You’ve done this before, in a role where the outcome was on you.

·      Hands-on technical ability. You don’t need a CS degree, but you must be able to read code, write code with AI tools, debug, and ship. If you’ve never opened Claude Code or Codex and built something real, this role isn’t for you. Coding is part of the daily job, not an occasional adventure.

·      Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.

Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting.

·      Creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.

·      Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

·      You’re a PM who realised the engineer handoff is where your products die.

·      You’ve quietly learned to ship in Claude Code or Cursor on the side because you got tired of waiting.

·      You want a role where coding ability is upside, not heresy.

·      You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

·      You want to write strategy decks more than you want to ship features.

·      You think “PM doesn’t code” is a principle worth defending.

·      You think AI is overhyped (we don’t).

·      You need a fully scoped backlog and weekly sprint rituals.

As a Recruiting Intern with Nirmitee.io Your Tasks Will Include

• Placing job postings on all relevant platforms
• Acting as the front-line contact person for applicants
• Scheduling interviews
• Managing applicant documentation
• Taking part in interviews
• Preparing client presentations
• Attending company events
• Assisting with office administration

Required Skill Set

The Recruiting Intern should possess the following skills, attributes, and qualifications:

• Bachelor’s Degree, preferably in HR or a related field
• Expert computer skills
• Strong administrative and document management skills
• Excellent written and verbal communication
• Willingness to learn
• Ability to multitask and work under deadlines 
• Enthusiasm and a capacity for hard work
• Strong interest in recruitment

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is FULL TIME WFH NIGHT SHIFT role.

If interested kindly share your updated cv at 82008 31681

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

• Working with the conference production team to develop an understanding of the event programme.
• Researching attendees and generating sales leads.
• Cold calling and selling to a list of prospective event attendees.
• Engaging with clients on the phone and developing lasting relationships.
• Daily management and maintenance of sales records, ensuring they are kept up to date with attendees and details.
• Working with the team to convert inbound sales enquiries into leads.
• Achieving monthly and overall revenue targets.
• Making a high number of calls to meet daily KPIs, to be set by management.
• Supporting delegates through the registration process.
• Experience in International voice process in sales will be an added advantage.