---
title: 'Product Analyst at Littlebird'
canonical: 'https://feeny.ai/job/product-analyst-littlebird-remote-jtvn6r0bdr8g'
type: 'job'
last_seen: '2026-09-09'
---

# Product Analyst at Littlebird

- **Company:** Littlebird
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-03-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/littlebird/am9icG9zdDqi-y222tVeoibOKM3-Lt7I

## Job description

Product Analyst (Remote)

## About Littlebird

Littlebird is your AI-powered personal operating system. We capture context from your daily life -- meetings, messages, browsing, notes -- and use it to help you remember everything, prioritize your day, and solve real problems. Think of us as the AI assistant that actually knows you. Check out the recent [TechCrunch news on our $11M seed funding](https://www.linkedin.com/feed/update/urn:li:activity:7442288049939533825) and what users are saying about the product.

We're growing fast, and we're entering a phase where gut instincts need to be backed by rigorous data. That's where you come in.

## The Role

We're looking for a sharp, stats-literate Analyst who can own product analytics end-to-end. We need someone with the judgment to know what questions to ask and the rigor to answer them properly.

Generative AI can write SQL. It can calculate p-values. What it can't do is design the right experiment, catch a subtle confound in your cohort analysis, or connect a qualitative user signal to a quantitative pattern. That's the job.

You'll work closely with our C-suite and product leadership to drive decisions on retention, engagement, conversion, and experimentation.

## What You'll Do

- Own experimentation. Design A/B tests with proper sample size calculations, power analysis, and significance testing. Run them. Interpret them. Flag when results are misleading.
- Analyze retention and engagement. Build and maintain cohort analyses, retention curves, and conversion funnels. Identify what separates users who stick from users who churn.
- Answer the hard questions. "Does Meeting Notes drive paid conversion, or do power users just happen to use it?" -- that kind of thing. Correlation vs. causation is your bread and butter.
- Define and track metrics. Help us build the right metrics framework for our stage. Know when a metric is vanity and when it's signal.
- Communicate findings clearly. Present insights to technical and non-technical stakeholders in a way that drives action, not confusion.
- Use LLMs as a force multiplier. We expect you to use AI tools aggressively for query generation, data wrangling, and visualization -- so you can spend your time on the thinking, not the typing.

## What We're Looking For

Must-haves:

- 3-5 years of experience in product analytics, data analysis, or a quantitative role at a tech company (startup experience strongly preferred)
- Strong statistical foundations: hypothesis testing, confidence intervals, Bayesian reasoning, power analysis, regression. Not textbook knowledge -- practical application.
- Demonstrated ability to design and analyze A/B tests and other controlled experiments
- Sharp product intuition -- you think about why users behave a certain way, not just how
- Excellent written and verbal communication

Nice-to-haves:

- Fluent in SQL. You'll be writing HogQL (ClickHouse-flavored SQL) against PostHog, so comfort with analytical SQL dialects is important.
- Python proficiency (pandas, scipy, statsmodels) for ad hoc analysis beyond what a BI tool can do
- Experience with PostHog or similar product analytics platforms (Amplitude, Mixpanel)
- Experience at an early-stage startup where you had to build analytics from scratch

What we don't need:

- ML/data science specialization (we're not building recommender systems)
- Data engineering / pipeline skills (this isn't a dbt or Airflow role)
- A Master's degree (we care about what you can do, not your credentials)

Interview Process

We keep it practical and respectful of your time:

- Intro call (30 min) -- get to know each other, talk through your experience
- Stats & analysis discussion ( ~1.5 hrs) -- assess your product analytics skills and stats fluency
- Culture & product chat with CEO (30 min) -- alignment on mission, working style, product thinking

Details

- Location: Remote (some overlap with US PST hours expected)
- Compensation: commensurate with experience. Equity included.
- Team: You'll be joining a small, high-caliber team across the world. Direct line to founders and engineering leadership.- We love to hear when birds chirp!

## About Littlebird

## Company Overview
- **One-liner**: Littlebird is a full-context AI assistant for macOS that continuously observes your screen and meetings to deliver answers and automate tasks based on your actual work context.
- **Entity Type**: Private (Seed stage – $11M raised)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Alap Shah, Alexander Green, Naman Shah

## Core Business
- **Primary industry/industries**: AI-powered productivity / Context-aware AI assistants
- **Target customers**: Individual professionals, knowledge workers, and teams using macOS (B2C, also potentially B2B via enterprise-grade security)
- **Mission or purpose statement**: (From website) “Organize your life and work… an AI that knows and understands what you're working on, so you can stay focused on what matters.”

## Products & Services
- **Littlebird (macOS App)**: A desktop AI assistant that runs in the background, reading the active window on your screen and transcribing meetings to build a private memory of your work. No manual setup or copy/pasting required. It can answer questions, draft emails/docs in your voice, take meeting notes, and automate daily routines (e.g., morning briefings, weekly summaries). Available for Apple Silicon, macOS 13+. Companion apps for iOS and Android allow querying on the go.
- **Paid Plans**: Free tier with limited usage; paid plans starting at $20/month for higher limits and features like image generation.
- **Integrations**: Optional integrations with hundreds of tools across categories: project management (Notion, Linear), design (Canva, Miro), developer tools (Cloudflare, PlanetScale), CRM (Intercom, Outreach), finance (Mercury, Ramp), meetings (Calendly, Granola), marketing (Klaviyo), analytics (Mixpanel), knowledge (Guru, Google Drive), email/calendar (Gmail, Outlook, Apple Calendar). Integrations are optional; the core product works by observing the screen.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total funding $11M (Seed round, March 2026)
- **Notable Investors/Partners**: Led by Lotus Studio; participants include Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston.
- **Growth Signals**: LinkedIn reports 30 employees (+1600% YoY) as of early 2026; offices in San Francisco and Newark; distributed across 7 countries (India, US, Poland, Pakistan, Ukraine). 84% of users say it saves at least half a day per week (per company claim). Rapid LinkedIn follower growth (+5122% yearly).

## Competitive Advantages
- **Full-context memory without setup**: Unlike general AI assistants that require manual copying/pasting, Littlebird automatically understands the current project, document, and conversation by reading the screen. This makes responses faster and more personalized.
- **Native macOS background operation**: Works on Apple Silicon with minimal friction, observing the active window and running meeting transcription via system audio.
- **Privacy-first design**: Users control what is seen/kept; data encrypted at rest and in transit (AWS); SOC 2 certified, GDPR and CCPA compliant. No data sold or used to train models.
- **Proven founding team**: Co-founders previously sold Sentieo (AI platform for investors) to AlphaSense; also built health-food company Thistle. One co-author of the “Citrini” paper that impacted tech stocks.

## Strategic Focus
- **Scaling the user base**: Currently free to download with a paid subscription model to drive adoption among knowledge workers.
- **Expanding platform support**: Already available on Mac, Windows (likely in beta or announced), plus mobile companion apps.
- **Deepening integrations**: The product relies on optional app connections to provide deeper context; likely expanding integration library and automation capabilities (Routines feature).
- **Enterprise adoption**: Emphasis on security compliance (SOC 2, GDPR) suggests a push into B2B sales and team/enterprise plans.

## Why Work Here
- **High-growth startup**: 30 employees, huge YoY headcount increase, well-funded seed round. Opportunity to shape product and culture early.
- **Hybrid Work Policy**: “Hybrid Workspace” as per Built In – employees combine remote and on-site work, with typical time on-site mentioned (likely SF office).
- **Culture & Perks**: No specific perks listed, but emphasis on privacy, automation, and building for power users. Founder background in multiple successful startups indicates a fast-moving, engineering-centric environment.
- **Current Openings** (as of mid-2026): Product Analyst, Senior Social Media Manager, Senior Backend Engineer, Social Media & GTM Intern, Product Manager – suggesting both engineering and go-to-market teams growing.

## Sources
1. [littlebird.ai/about-us](https://littlebird.ai/about-us)
2. [builtin.com/company/littlebird-ai](https://builtin.com/company/littlebird-ai)
3. [littlebird.ai](https://littlebird.ai)
4. [linkedin.com/company/littlebirdai](https://linkedin.com/company/littlebirdai)
5. [techcrunch.com](https://techcrunch.com/2026/03/23/littlebird-raises-11m-to-capture-context-from-your-computer-so-you-can-query-your-data)

## Other roles at Littlebird

- [Founding Sales Leader](https://feeny.ai/job/founding-sales-leader-littlebird-san-francisco-8asr2hrz3cpx) — San Francisco, CA
- [Creator in Residence](https://feeny.ai/job/creator-in-residence-littlebird-remote-6cctbk4demjb)
- [Product Manager](https://feeny.ai/job/product-manager-littlebird-bengaluru-h9ev0j3s8dbm) — Bengaluru, India
- [Senior Social Media Manager - Consumer](https://feeny.ai/job/senior-social-media-manager-consumer-littlebird-remote-mt3reerwtk3s)
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-littlebird-remote-ajgp4w2p8bns)
- [Applied AI Engineer - Agent Intelligence & Retrieval](https://feeny.ai/job/applied-ai-engineer-agent-intelligence-retrieval-littlebird-remote-7wgmp8ptzdbb)
- [Senior / Staff AI Engineer (Systems & Architecture)](https://feeny.ai/job/senior-staff-ai-engineer-systems-architecture-littlebird-remote-7vxtrsgys1aa)
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