---
title: 'Senior Software Engineer - Backend at hiretofu.com'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-hiretofu-com-san-francisco-n1ybssnzefh4'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Software Engineer - Backend at hiretofu.com

- **Company:** hiretofu.com
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-12-12
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.gem.com/tofu-sandbox/am9icG9zdDo9oZWVur1d-RI3Jf806lKD

## Job description

## About Tofu

How do you distinguish between real and fake in an AI world? This question has crippled the recruiting industry overnight. Tofu is building one of the most important companies of our time and the layer to fix it.

AI has made it easier than ever to fake credentials, impersonate real people, and apply to jobs at scale using synthetic identities. More than 60% of remote applicants are fake, there were 75M detected deepfakes last year, and the number of state-sponsored groups hired by Fortune 500s grew 220%.

The hiring funnel has become the front door to the enterprise, and AI has cracked it wide open. It’s a $96 billion problem that needs to be solved.

We’re changing that.

Tofu is building a new standard for security in hiring.

And [we just raised $5M from Slow Ventures and Founder Collective to step on the gas.](https://www.forbes.com/sites/mariagraciasantillanalinares/2025/12/16/job-applicant-fraud-is-rising-this-startup-is-using-ai-to-stop-it/)

If you want to help build the trust layer for the internet and redefine how identity works in the AI era, we’d love to talk.

## About the Role

We're hiring a Senior Backend Engineer to join our core engineering team. You'll be a key contributor to both user-facing product launches as well as platform enhancements and stability -- working directly on the systems that power Tofu's fraud detection, deepfake analysis, and identity verification infrastructure.

## What You'll Do

- Develop core product features to support Tofu's fraud detection pipelines, data processing, and retrieval at scale.
- Design and implement backend APIs to facilitate data interactions between Tofu's detection models, scoring systems, and product surfaces.
- Build and maintain data pipelines for efficient processing, analytics, and real-time fraud signal ingestion.
- Collaborate with frontend engineers (React/JavaScript) to present fraud and identity data in a clear, actionable format for enterprise recruiting teams.

## What You'll Bring

- Ability to own and manage concurrent initiatives, demonstrating effective judgment in prioritization and time management.
- Driven, self-managed, capable of conceiving and implementing solutions on your own and with a team.
- A strong desire to continuously improve and learn new technologies in a fast-paced environment.
- Excellent analytical and problem-solving skills, effective communication, attention to detail, and high-quality work.
- Strong technical documentation ability to support the development process.
- Effective communication and collaboration with designers, developers, and product managers.
- Ability and interest in mentoring junior and mid-level engineers to foster their growth and development.

Required Experience

- Bachelor's Degree in Computer Science, Computer Engineering, or related field.
- 7+ years of professional software engineering experience using modern object-oriented or functional languages -- we primarily work in Python and JavaScript.
- Experience building applications on cloud computing platforms (AWS, Azure, GCP) using container technologies such as Docker and Kubernetes.
- Expert proficiency in SQL.

## Preferred Experience

- Experience with Elasticsearch or similar search and analytics engines.
- Experience with various database architectures including relational (PostgreSQL) and others.
- Experience managing and maintaining production infrastructure.
- Experience building platform capabilities for internal teams.
- Experience in fraud detection, identity verification, or security-adjacent domains.

## Why Tofu and this Role

- You'll help build the trust layer for the internet -- one of the defining problems of the AI era.
- You will join a team obsessed with building a generational company.
- Early engineers have real ownership, real impact, and unlimited growth.

## Benefits & Perks

- Competitive salary + meaningful equity.
- Comprehensive health benefits.
- 3 weeks of vacation.
- New laptop and gear to do your best work.
- Tofu swag your friends will want to steal.

Working Location

- This role is fully remote.

## About hiretofu.com

## Company Overview
- **One-liner**: Tofu builds AI-powered fraud detection for hiring and security teams to verify candidate identity and catch deepfakes, impersonation, and synthetic identities.
- **Entity Type**: Private (Seed stage – raised $5M seed round)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2023
- **Founders**: Jonathan Perez (Co-Founder & CTO) and Jason Zoltak (Co-Founder & CEO)

## Core Business
- **Primary industry**: Recruiting security / HR technology (candidate fraud detection)
- **Target customers**: B2B – talent teams, recruiting and security teams at mid-market and enterprise companies (e.g., Restaurant365, Luxury Presence, Garner Health, Crusoe Energy)
- **Mission or purpose**: Build the identity layer for hiring – an “oAuth for people” that frictionlessly validates identity in an AI world where faking credentials has become trivial.

## Products & Services
- **Tofu Fraud Agent**: AI agent that screens every applicant for fraud risk – flags identity theft, impersonation, synthetic identities, and state-sponsored actors. It sits on top of an ATS and validates applicants against 4+ billion data points and a proprietary Fraudbase built from 18M+ analyzed profiles.
- **Deepfake & Proxy Detection**: Analyzes live interviews (Zoom, Google Meet, Teams) in real time for synthetic audio, video, face-swaps, and proxy candidates.
- **AI Screening Agents**: Customizable agents that rank applicants based on job criteria, past hire profiles, and skills – removing bias while surfacing top candidates.
- **ATS Integration**: Fraud labels and verification notes are pushed directly into the customer’s ATS, keeping workflows in one place.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding of $5M (Seed round, led by Slow Ventures and Founder Collective, with participation from Night Capital, Ritual Capital, and Garage Capital). Earlier pre-seed round of ~$888K in March 2024.
- **Notable Investors/Partners**: Slow Ventures, Founder Collective, Night Capital, Ritual Capital, Garage Capital.
- **Growth Signals**: 11 employees (+128.6% YoY), 2,502 LinkedIn followers (+169.5% yearly), hundreds of customers including notable tech companies, and a rapidly growing team with open roles in engineering, sales, and product.

## Competitive Advantages
- **Proprietary Fraudbase**: Built from 18M+ analyzed profiles and billions of data points, giving a unique dataset to detect hidden fraud patterns.
- **Depth of detection**: Covers identity theft, synthetic identities, deepfakes, proxy interviews, and state-sponsored actor infiltration – all in one platform.
- **ATS-native integration**: Fraud results live inside the ATS, reducing friction for recruiting teams.
- **Regulatory angle**: Helps companies avoid unknowingly hiring from sanctioned countries (e.g., North Korea), which carries massive federal penalties.

## Strategic Focus
- **Current priorities**: Scale the platform’s fraud detection capabilities, expand integration with more ATS and interview tools, and grow the customer base beyond early adopters. The company is also building toward a reusable identity standard (“oAuth for people”) that could extend beyond hiring.
- **Direction for growth**: Deepen AI models for deepfake and synthetic identity detection, and broaden the product to serve security teams directly.

## Why Work Here
- **Culture**: Described as a meritocracy – “If you can build, ship, sell or execute, we want to meet you.” Principles include lean, fast-moving, ego-free, process-oriented, continuous improvement (“1% better every day”), and a commitment to transparency and innovation.
- **Hybrid/Remote Policy**: Hybrid roles based in Toronto (engineering, sales) – the company has offices in Toronto and the U.S., with a distributed team also in Venezuela.
- **Notable Perks**: Early-stage impact with significant ownership; backed by top-tier investors; solving a critical and timely problem (AI-driven hiring fraud); small team with rapid growth trajectory.
- **Engineering Culture**: Strong emphasis on process and execution, with open roles for Fullstack Engineer, Machine Learning Engineer, and a Product & Growth Lead.

## Sources
1. [hiretofu.com/careers](https://www.hiretofu.com/careers)
2. [hiretofu.com](https://www.hiretofu.com/)
3. [hiretofu.com/about](https://www.hiretofu.com/about)
4. [jobs.gem.com/tofu](https://jobs.gem.com/tofu)
5. [ca.linkedin.com/company/hiretofu](https://ca.linkedin.com/company/hiretofu)

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