Product Manager for Creator Advertising Platform

About Us

We’re 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

We’re 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: you’ll design agent workflows, run tight execution, and help shape the product foundation for scale. This is an in-office Mumbai role.

Location: Mumbai (In-office, 5 days/week)

Type: Full-time

Experience: 2–6 years (flexible for exceptional builders)

Reports to: Founder/CEO

Works with: Engineering (small team), and later Design/Data/Ops Traction: Working with large enterprises and managing seven-figures per month in influencer spend

What We’re Looking For

Must-haves

• 2–6 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 You’ll 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
  
  

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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 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
  
  

Skills:- Product Management, Artificial Intelligence (AI), Generative AI, Roadmaps, NodeJS (Node.js), TypeScript and Go Programming (Golang)