---
title: 'Senior Backend Engineer at Littlebird'
canonical: 'https://feeny.ai/job/senior-backend-engineer-littlebird-remote-ajgp4w2p8bns'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Backend Engineer at Littlebird

- **Company:** Littlebird
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-03-18
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/littlebird/am9icG9zdDpZ0YueZCFTG8W-l6P7qwmO

## Job description

## Role Overview

We're seeking a Senior Backend Engineer to join our fast-paced team to design, develop, and implement new infrastructure for [Littlebird](https://www.joinlittlebird.com/), our personalized AI teammate for Mac and Android (Windows soon!). We’re building personal AI; a thought partner that connects dots in your work and helps you think. 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 an async-first team that values craft and ownership. Our engineers live at the intersection of genuine research curiosity and production discipline: you'll push the frontier in areas like realtime data, search, and inference, then wrestle those ideas into systems that are fast, lean, and built to scale.

## The Role

You will architect the system that allows our agent to reason, remember, and evolve. You'll develop core infrastructure that turns messy, unstructured user data into a coherent world model.

Some of the hard problems you'll solve:

- Build AI Memory: Our current memory systems will continue to scale. You'll lead the charge to design and implement our next-generation memory system This means solving hard problems in:- Scale Our Data & Retrieval Pipelines: As we grow, you'll be responsible for ensuring our data ingestion, hybrid search, and re-ranking pipelines are fast, reliable, and cost-effective.
- Security: Ensure our infrastructure is highly secure and observable, with a focus on speed and cost
- Graph-based Retrieval: How do you query a graph efficiently to provide the agent with rich, structured context, moving beyond simple semantic search?

Required Skills

- Deep experience building and scaling data-intensive backend systems in Python or Go.
- Strong system-design skills and experience working with distributed systems.
- A clear mental model for data structures and their trade-offs. You like to think deeply about how to represent complex information.
- Hands-on experience with RAG pipelines, even if you're a little frustrated with their limitations.
- Production experience with modern cloud infrastructure, observability tooling, and PostgreSQL
- A pragmatic approach. You know when to build for the long term and when to ship a clever solution that works now.

## Benefits

- Remote-friendly work environment
- Collaborative team culture
- Opportunity to shape infrastructure decisions
- Competitive compensation packages including stock and health benefits, paid time off, and parental leave. 401k options for all US-based employees.
- Flexible working hours across multiple time zones
- 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)
- [Product Analyst](https://feeny.ai/job/product-analyst-littlebird-remote-jtvn6r0bdr8g)
- [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)
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-verkada-san-mateo-ca-8cbw2zg7ym0t) — San Mateo CA, United States
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-feverup-spain-15qsx6yx5r1d) — Spain
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