---
title: 'Analytics & Data Science Leader at Emergent Labs'
canonical: 'https://feeny.ai/job/analytics-data-science-leader-emergent-labs-bengaluru-s0f24a7cy2p9'
type: 'job'
last_seen: '2026-09-05'
---

# Analytics & Data Science Leader at Emergent Labs 

- **Company:** Emergent Labs 
- **Location:** Bengaluru, India
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/emergentlabsinc/jobs/4373373009

## Job description

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since our public launch, we've crossed $130M in Annualised Revenue and grown to over 10M users across 190+ countries, who have built 12M+ applications on Emergent. We're backed by Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

The Role: We're looking for an Analytics Leader to own the entire data and analytics function at one of the fastest-scaling AI platforms in the world. You'll define what we measure, how we measure it, and how data drives every major decision across product, growth, finance, and leadership.

This is a player-coach role. You'll set the analytics vision, build and lead a high-performing team, and still stay close enough to the data to pressure-test a pricing model or debug an attribution issue yourself. You'll report directly to leadership and act as the single source of truth for business-critical metrics: revenue, retention, conversion, and unit economics. Critically, this is an AI-native analytics leadership role. You'll build a function where AI tools (Claude, MCP integrations, agentic pipelines) are core infrastructure, not add-ons, enabling a lean team to deliver the output of one many times its size.

What You'll Do:

- Own the company-wide data science and analytics strategy: define the metrics framework, predictive models, north-star KPIs, and reporting cadence used by leadership, product, growth, and finance
- Build, hire, and lead the data science and analytics team, setting the bar for rigor, speed, and self-serve enablement across the company
- Own subscription and revenue analytics end-to-end: MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing models
- Lead applied data science initiatives: churn and LTV prediction, propensity and conversion models, forecasting, anomaly detection, and segmentation to drive product and growth decisions
- Architect and govern the modern data stack (BigQuery, PostgreSQL, event pipelines), partnering with engineering on data quality, schema design, and pipeline reliability
- Establish experimentation as a discipline: design the A/B testing framework, define statistical standards and causal inference methods, and ensure proper attribution across channels
- Deliver strategic analysis and modeling for high-stakes decisions: pricing changes, market expansion, product bets, and fundraising narratives
- Build production dashboards, ML-powered alerting systems, and forecasting tools that leadership relies on daily, and evolve the knowledge base so teams can self-serve
- Champion AI-native data science: deploy Claude, MCP servers, and agentic workflows to automate exploration, feature engineering, anomaly detection, query generation, and reporting at scale
- Act as the trusted data and modeling partner to the CEO and functional leaders, translating complex analysis and models into clear, decision-ready recommendations

Who You Are:

- 12+ years in data science, analytics, or a related quantitative field, with 5+ years leading and scaling data science and analytics teams at high-growth B2C/SaaS or PLG companies
- Deep expertise in subscription and SaaS metrics: MRR, churn, cohort analysis, LTV modeling, conversion funnels, and usage-based billing
- Strong foundation in statistical modeling and applied machine learning: regression, classification, time-series forecasting, and propensity/uplift modeling, with the judgment to know when a simple model beats a complex one
- Elite SQL proficiency: you think in CTEs and window functions, understand partitioning tradeoffs, and validate results against multiple sources instinctively
- Proven track record of building data science and analytics functions from scratch or through hypergrowth: hiring, tooling, metric and model governance, and stakeholder trust
- Strong command of the modern data stack: BigQuery or similar warehouses, dbt, product analytics tools (PostHog, Mixpanel, Amplitude), and BI platforms
- Experimentation depth: you've designed and governed A/B testing programs and understand statistical rigor, causal inference, identity stitching, and multi-touch attribution
- A hypothesis-driven operator: you form a thesis, test it iteratively, build models to validate it, and revise when the data disagrees, and you've taught teams to do the same
- Genuine conviction in AI-native workflows: you use AI assistants and agentic tools daily and have strong opinions on how they transform data science and analytics work
- Executive-grade communication: you can walk into a board meeting or a leadership review and land a data-backed recommendation in five minutes
- Comfort with ambiguity and messy, evolving data infrastructure: you unblock yourself and your team without waiting for perfect pipelines

Nice to Have:

- Experience at a developer tools, AI, or vibe coding platform
- Strong Python fluency for statistical modeling, ML, and automation (pandas, scikit-learn, statsmodels, or similar)
- Prior ownership of finance-adjacent analytics: revenue recognition, forecasting, and unit economics for board reporting
- Experience partnering directly with engineering on event-driven data models and behavioral analytics
- Experience deploying models into production (not just notebooks), with MLOps fundamentals a plus
- Early-stage startup experience where you built the data science and analytics layer from zero to scale

Benefits and Perks:

- Daily Meals: Lunch and Dinner provided
- Family Insurance: 5 Lakhs worth of coverage for you and your family
- Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
- Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

## About Emergent Labs 

## Company Overview
- **One-liner**: Emergent is an AI-powered development platform that transforms plain-language descriptions into production-ready software applications, replacing traditional coding with autonomous coding agents.
- **Entity Type**: Private (Series B)
- **Headquarters**: Pleasanton, California, United States
- **Founded**: 2024 (estimated; earliest funding round March 2025) [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Founders**: Mukund Jha (CEO) and Madhav Jha (CTO) – twin brothers [ycombinator.com](https://www.ycombinator.com/companies/emergent)

## Core Business
- **Primary industry**: AI-powered software development / Autonomous coding agents
- **Target customers**: B2B (teams, enterprises) and B2C (individual builders, power users); from beginners to experienced developers
- **Mission**: Democratize product development by letting anyone turn ideas into monetizable software without writing code

## Products & Services
- **[Emergent Platform](https://emergent.sh/)**: AI app builder that converts natural language descriptions into fully functional applications. Handles architecture, coding, testing, and deployment autonomously. Generates production-ready code that users own. Pricing starts at $17/month (individual), $167/month (power users), $250/month (teams), with a free tier and enterprise options.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: $100M ARR achieved in 8 months (fastest-growing startup globally) [linkedin.com](https://www.linkedin.com/company/emergentlabs); Total funding $100.125M [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Notable Investors/Partners**: Khosla Ventures, SoftBank Vision Fund, Google (AI Futures Fund), Lightspeed India, Prosus Ventures, Together Fund, Y Combinator [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Growth Signals**: 6M+ users across 190+ countries; 6M+ applications built; headcount grew 1,713% YoY to 212 employees; 37 active job postings [linkedin.com](https://www.linkedin.com/company/emergentlabs)

## Competitive Advantages
- **Natural language interface** – no drag-and-drop or coding required; works through conversation
- **Full code ownership** – users own all generated code, can download, modify, or host anywhere
- **Autonomous end-to-end development** – agents plan, build, test, and debug apps independently
- **Production scale** – systems run at global scale, handling millions of real applications

## Strategic Focus
- Scaling reliability, security, and correctness of AI-driven software creation
- Expanding enterprise capabilities and custom AI agents
- Continuing rapid hiring (especially in engineering, AI, and growth roles) to support hypergrowth

## Why Work Here
- **Culture**: "Own it" – full product ownership from day one; direct founder mentorship; weekly releases with millions of users [emergent.sh/careers](https://emergent.sh/careers)
- **Remote/Hybrid**: Offices in Bangalore, India and San Francisco/Pleasanton, USA; open to remote for some roles (details per job posting)
- **Perks**: Competitive salary + equity; unlimited PTO; full insurance coverage; meal coverage; modern tech stack
- **Engineering culture**: Elite team of Google, Amazon, IIT/IIM alumni; tackle ambitious projects with the latest tools and technologies; high impact at global scale
- **Growth**: Fastest-growing startup in the world; massive career acceleration opportunity

## Sources
1. [emergent.sh/careers](https://emergent.sh/careers)
2. [emergent.sh](https://emergent.sh/)
3. [job-boards.greenhouse.io/emergentlabsinc](http://job-boards.greenhouse.io/emergentlabsinc)
4. [linkedin.com/company/emergentlabs](https://www.linkedin.com/company/emergentlabs)
5. [ycombinator.com/companies/emergent](https://www.ycombinator.com/companies/emergent)

## Other roles at Emergent Labs 

- [Global PR Lead](https://feeny.ai/job/global-pr-lead-emergent-labs-bengaluru-xnt1y2jjxfmb) — Bengaluru, India
- [Partner Development Lead - Technology Partners](https://feeny.ai/job/partner-development-lead-technology-partners-emergent-labs-san-francisco-mde1zgz6x38j) — San Francisco, CA
- [Partner Development Lead - Service Partners](https://feeny.ai/job/partner-development-lead-service-partners-emergent-labs-san-francisco-yyj537m9x7m5) — San Francisco, CA
- [Copywriter](https://feeny.ai/job/copywriter-emergent-labs-bengaluru-669xw6wpwy0g) — Bengaluru, India
- [Payroll and HR Operations Specialist](https://feeny.ai/job/payroll-and-hr-operations-specialist-emergent-labs-bengaluru-atp2659nxtk8) — Bengaluru, India
- [Data Scientist](https://feeny.ai/job/data-scientist-emergent-labs-bengaluru-fvbamr9evct4) — Bengaluru, India
- [Investor Relations Lead](https://feeny.ai/job/investor-relations-lead-emergent-labs-bengaluru-f1y05zprszfm) — Bengaluru, India
- [Product Marketing Lead](https://feeny.ai/job/product-marketing-lead-emergent-labs-bengaluru-20mp5h86zkax) — Bengaluru, India
- [Forward Deployed Engineer (FDE)](https://feeny.ai/job/forward-deployed-engineer-fde-emergent-labs-bengaluru-3eeeey2va956) — Bengaluru, India
- [Escalation Manager](https://feeny.ai/job/escalation-manager-emergent-labs-bengaluru-nypp1b5rkdxh) — Bengaluru, India