About us

Were building an agentic, AI-native platform for creator advertising automating the campaign lifecycle (brief ? creator selection ? outreach/follow-ups ? approvals ? delivery QA ? reporting).

The role

Were hiring a Product Manager who can code and can drive product end-to-end while working extremely closely with the engineering team. This is a builder role: youll design agent workflows, run tight execution, and help shape the product foundation for scale.

This is an in-office Mumbai role.

What youll do:

- Customer discovery & user interviews (core part of the job)

- Do weekly user interviews with enterprise marketing teams, agencies, and creators

- Turn messy feedback into clear product bets, workflows, and experiments

- Build strong product intuition by staying close to users and real campaign execution

- Validate new features with rapid prototypes and structured feedback loops

Build the agentic AI product :

- Design agent workflows: what the agent does, what humans approve, and how exceptions escalate

- Define tool usage for the agent (retrieval, matching, messaging sequences, QA checks)

- Specify evaluation + guardrails (quality metrics, fallbacks, audit logs, safety/brand checks)

- Own core platform workflows (enterprise-grade)

- Own campaign workflow states, approvals, permissions, and internal ops tooling

- Drive integrations (APIs/webhooks) and reliable execution paths

- Define instrumentation (event schema) and ensure reporting accuracy + trust

Drive execution with engineering :

- Write specs engineers can build from (flows, acceptance criteria, edge cases)

- Run sprint planning, prioritization, release readiness, QA

- Make scope tradeoffs quickly and maintain a weekly shipping cadence

- Hands-on building (coding)

Depending on your strengths, you may :

- build internal tools/admin screens, scripts, prototypes, integrations, data utilities

- write quick POCs for agent workflows, tool definitions, or evaluation harnesses

- help debug production issues using logs/SQL

What were looking for (must-have):

- 26 years shipping software products (years flexible if you can prove ownership)

- Strong technical fluency end-to-end:

- APIs/webhooks, auth basics, event tracking & analytics

- ability to reason through edge cases, reliability, and scalability tradeoffs

- Can code (proficient in Python/TypeScript/JavaScript/Go) and comfortable doing -hands-on work when needed

- Demonstrated ability to run user interviews and convert insights into shipped outcomes

- Proven shipping in fast cycles with real outcomes/metrics

- High ownership, crisp communication, strong execution leadership

- Mumbai in-office availability (or immediate relocation)

Nice to have :

- Built LLM/AI features with real users (prompts + tools + evaluation/guardrails)

- Experience with marketplaces, AdTech/measurement, creator/influencer products, B2B SaaS

- SQL comfort and familiarity with analytics/debugging production systems

What success looks like :

- Weekly cadence of user interviews, clear insights, shipped improvements

- MVP agent workflow shipped with measurable time savings + quality controls

- Reduced manual ops per campaign through automation + internal tooling

- Trusted reporting and instrumentation (customers trust the numbers)

- Consistent weekly shipping cadence and strong engineering throughput