---
title: 'Senior Backend Engineer at Feathery'
canonical: 'https://feeny.ai/job/senior-backend-engineer-feathery-toronto-0adtzyze8spw'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Backend Engineer at Feathery

- **Company:** Feathery
- **Location:** Toronto, Canada
- **Compensation:** $120k–$170k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/feathery/0edfe489-b0ad-4e5a-a948-063cd447e4a0

## Job description

## ABOUT FEATHERY

Feathery is the AI Operating & Decisioning system for financial services. Our customers — including Fortune 500s like Allstate — use Feathery to power mission-critical workflows such as customer onboarding, insurance underwriting and quoting, account openings, and advisor transitions.

## WHY WE’RE HIRING

As Feathery grows, so does the complexity and scale of the systems that power our product — from document processing pipelines to real-time workflow execution.

We’re hiring a Senior Backend Engineer to help build and scale the core infrastructure behind our document intelligence and workflow platform. This role is ideal for someone who enjoys designing reliable, high-performance systems and taking ownership of backend architecture in a high-growth B2B SaaS environment.

You’ll work closely with product, engineering, and customer-facing teams to deliver systems that are fast, resilient, and deeply aligned with customer needs.

## ABOUT THE ROLE

This is a high-ownership role that blends:

- Backend system design and distributed architecture
- Infrastructure, scalability, and performance optimization
- Product-focused engineering and problem solving
- Cross-functional collaboration across product and customer teams

You’ll play a key role in shaping the systems that power Feathery’s platform — ensuring they are reliable, scalable, and built to handle complex, real-world use cases.

## WHAT YOU’LL DO

## BACKEND SYSTEMS & INFRASTRUCTURE

- Design, build, and scale backend services that power document processing and workflow automation
- Develop asynchronous pipelines and distributed systems for handling large volumes of data
- Build and maintain infrastructure using AWS services and queueing systems (e.g., SQS)
- Ensure high availability, fault tolerance, and observability across systems
- Optimize systems for performance, scalability, and cost-efficiency

## DATA PROCESSING & PLATFORM CAPABILITIES

- Build systems for processing and transforming structured and unstructured data
- Integrate external services such as OCR and AI models where appropriate
- Improve reliability and throughput of document and data processing pipelines
- Contribute to APIs and internal services that power the product

## PRODUCT & CROSS-FUNCTIONAL COLLABORATION

- Work closely with product to define requirements and ship impactful features
- Collaborate with frontend and customer-facing teams to support new use cases
- Help translate complex customer needs into scalable backend solutions
- Contribute to product planning and technical scoping

## TECHNICAL LEADERSHIP

- Take ownership of key backend systems and architecture decisions
- Mentor other engineers and contribute to engineering best practices
- Help improve code quality, testing, and deployment processes
- Stay up to date with modern backend and infrastructure technologies

## ABOUT YOU

- 4–7+ years of experience building and scaling backend systems
- Strong proficiency in backend frameworks such as Node.js, Django, or similar
- Experience designing distributed systems and asynchronous processing pipelines
- Solid experience with AWS and cloud infrastructure
- Strong understanding of system performance, reliability, and observability
- Experience building production-grade APIs and services
- Comfortable working in a fast-paced, high-growth startup environment
- Strong communication skills and ability to collaborate across teams

## BONUS

- Experience building data processing or ETL pipelines
- Familiarity with document processing, OCR, or AI/ML integrations
- Experience with queueing systems (e.g., SQS) and event-driven architectures
- Experience optimizing systems for high throughput and low latency
- Background in financial services, insurance, or other data-intensive industries
- Experience at a high-growth B2B SaaS company

## WHAT WE OFFER

- Competitive compensation and equity
- Health, dental, and vision coverage
- Unlimited PTO
- Downtown Toronto office location
- Office snacks and lunches
- A supportive, low-ego team that values ownership and growth
- Company offsite to connect and recharge

Feathery is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic. We’re committed to building an inclusive team and provide reasonable accommodations upon request.

## About Feathery

## Company Overview
- **One-liner**: Feathery provides an AI-powered operations platform that automates data intake, document processing, and workflows for financial services, specifically insurance and wealth management.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Peter Dun (CEO & Co-founder), Zack Khan (Co-founder)

## Core Business
- Primary industry/industries: Financial Services Technology (InsurTech, WealthTech)
- Target customers: B2B, specifically insurance carriers, wealth management firms, and financial services enterprises
- Mission or purpose statement: Transforming the way data is collected and activated across the web.

## Products & Services
- **AI Operations Platform**: A platform designed for financial services to automate client onboarding, underwriting, quoting, and proposal generation. It integrates with existing systems and handles unstructured data from PDFs, spreadsheets, images, and emails.
- **Document Intelligence**: Extracts and structures data from unstructured inputs like policies, loss runs, and submissions.
- **Robin (AI Workflow Assistant)**: An AI agent that can build workflows from a simple natural language description, requiring no engineering skills.
- **Comparative Policy Analysis**: Automatically analyzes multiple policy documents and AMS records to generate comparison reports.
- **AI Document Generation**: Creates dynamic, compliant proposals and client-facing documents.
- **Vertical Integrations**: Bi-directional connections with hundreds of industry-specific platforms (e.g., Schwab for account opening, Epic for AMS records).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of $4.05 million
- **Total Funding**: $4,050,000
- **Notable Investors/Partners**: Index Ventures (lead investor in seed round), Erie Strategic Ventures, BrokerTech Ventures, MassChallenge, Bain Capital Ventures, FinTech Innovation Lab.
- **Growth Signals**: 100% headcount growth year-over-year (34 employees as of mid-2026). Processes over 10 million+ workflows. Launched an industry-first one-click Schwab account opening via API in 2026. SOC 2 Type 2 and HIPAA compliant. Reports customers saving 60-80% of time on operational tasks.

## Competitive Advantages
- **Hyper-focused vertical AI**: Built specifically for the complex, regulated workflows of insurance and wealth management, not a generic form builder.
- **Deep integrations**: Pre-built, bi-directional connections with critical industry systems (AMS, CRMs, custodians like Schwab) create a significant moat.
- **Security & Compliance**: SOC 2 Type 2 and HIPAA compliant, a critical requirement for financial services clients.
- **Proven Efficiency**: Demonstrates clear ROI, with customers reporting 60% reduced time-to-quote and thousands of hours saved.

## Strategic Focus
- Deepening its foothold in the insurance and wealth management verticals.
- Expanding the capabilities of its AI workflow assistant, "Robin," to automate more complex, multi-step processes.
- Building out more one-click integrations with major financial services platforms (e.g., Schwab).
- Growing its customer base and scaling its go-to-market team.

## Why Work Here
- **High-growth environment**: The company has doubled its headcount in the last year, indicating strong momentum and opportunity for impact.
- **Remote-first with a hub**: While HQ is in San Francisco, the team is distributed across Canada, the US, the Philippines, and Germany, suggesting a flexible work culture.
- **Talent density**: The team includes alumni from top tech companies like Palantir Technologies and Red Hat, indicating a high-caliber peer group.
- **Technical focus**: With 42% of the team in technical roles, engineering is a core priority. The tech stack includes modern tools like React, Django, and Node.js.
- **Meaningful problems**: The work directly addresses major inefficiencies in critical financial infrastructure, offering a chance to solve real-world problems with AI.

## Sources
1. [feathery.io](https://www.feathery.io/)
2. [feathery.io/about](https://www.feathery.io/about)
3. [linkedin.com](https://www.linkedin.com/company/feathery-forms)
4. [cbinsights.com](https://www.cbinsights.com/company/feathery)

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