💻 Job Type: Full-Time
📍 Location: Bangalore (Onsite)
🖥️ Experience Required: 3-6 Years of experience
⌛ Hiring Timeline: Immediate
Job Title - Product & Growth Engineer
About the company
InCommon is hiring on behalf of a stealth-mode startup focused on building transformative AI-powered solutions.
About the Team
Launching a free self-serve tier targeting 100K developer signups. There is no existing PLG machine. This person builds it.
About the Role
Own the entire developer self-serve product and the growth engine behind it. That means defining the funnel (PM hat), building the tooling (engineer hat), and running experiments end to end without waiting for a team to execute. You will work with the DX Engineer/DevRel on top-of-funnel and with the Founding GTM team on conversion to enterprise. The primary metric is monthly activated developers. Secondary metric is free-to-paid conversion. You have the authority and the resources to move both.
Roles and Responsibilities
Define and build the self-serve onboarding flow
Instrument the activation funnel and identify drop-off
Run growth experiments pricing, packaging, in-app prompts, referral mechanics
Own the free tier product roadmap
Build the PLG data infrastructure for the Series A story
What we are looking for?
3–6 years in a growth engineering or growth PM role at a PLG company
Can ship production features independently
Strong data instincts SQL, event analytics, funnel thinking
Has owned an activation or conversion metric, not just contributed to it
Worked at a developer tools company with a self-serve motion Vercel, Supabase, Pinecone, or similar
Built referral or viral mechanics before
Former engineer turned PM, or an engineer who ran product experiments directly
Benefits
Competitive comp + meaningful equity: we want builders to own a real piece of what they create
Wellness programs: we support your well-being with programs and resources designed to help you feel your best
Free meals: daily lunches, dinners, and snacks in the office
High-ownership, high-agency: ship core infrastructure, talk to users, and see your work in production fast
Flexible PTO: optimize for deep work, not busywork
Top-tier gear + software: whatever you need to do your best work
Learning budget: books, courses, conferences, and compute for experiments
Team offsites: periodic time together to plan, build, and reset