DevOps Engineer | SDE - 1 | SDE  - 2

Preferable Location(s):
Pune, India | Mumbai, India | Chennai, India | Delhi, India | Hyderabad, India
Work Type:
 Full Time
Salary Range:
 $65K - $70K  

Role: Product Manager - Growth & Systems

Function: Product Management - Growth & Gamification

Industry: Consumer technology, AI, Social Platforms

Location: Gurgaon

Type: Full-time

Compensation: 40-60 LPA + ESOPs

About the Company:

An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content.

Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms.

With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact.

Position Overview
We're seeking an analytical builder who excels at designing engagement systems and building the foundational infrastructure that powers our platform. You have user empathy and fascination of how users behave while using your product and you also know how to quantify, supercharge and optimize the same to create a delightful user experience.

You will design data-driven engagement systems that will power a next-generation social platform. You will own gamification mechanics, build core engagement loops, and partner with engineering, data science, and algorithm teams to drive retention and growth.

Role & Responsibilities

  • Design and optimise gamification systems that drive long-term user engagement and retention
  • Build and monitor core user engagement loops using data-driven insights
  • Partner with recommendation algorithm teams to improve content discovery and user matching
  • Collaborate with data science teams to develop sophisticated user behaviour models
  • Own the development and maintenance of internal dashboards, analytics tools, and operational systems
  • Work directly with engineering teams to architect scalable technical solutions
  • Define and track complex metrics across multiple systems and user touchpoints
  • Build A/B testing frameworks and experimentation infrastructure
  • Analyze system performance and user behaviour patterns to identify optimisation opportunities
  • Design and implement internal tools that improve team productivity and decision-making
  • Leverage prior gaming-industry product experience and thrive in 0→1→10 startup environments

Must have Criteria

  • 3+ years of product management experience with focus on growth, engagement, or platform systems
  • Exceptional analytical and mathematical skills with experience in statistical analysis
  • Experience designing gamification mechanics, progression systems, and user engagement loops
  • Proficiency with SQL, Python, or similar tools for data analysis
  • Strong technical background and ability to work closely with engineering teams
  • Experience working with recommendation systems, machine learning models, or algorithmic feeds
  • Ability to translate complex technical and ML concepts into clear product requirements
  • Track record of building and scaling internal tools and operational systems
  • Strong problem-solving skills and comfort working in ambiguous technical environments

Nice to Have

  • Experience with analytics platforms and personalisation systems
  • Background in user psychology or game theory
  • Passion for and understanding of games

What We Offer

  • Join a founding team where your work is core to the product experience
  • Work at the cutting edge of AI-ML applied to a scaled consumer problem
  • Shape the future of how humans connect in the AI era
  • Competitive cash compensation and meaningful equity

FAQs

Have questions about our features or pricing?
Speak to us
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