---
title: 'Senior Backend Engineer at Revi'
canonical: 'https://feeny.ai/job/senior-backend-engineer-revi-185-clara-st-san-francisco-g7mpfyev4z4b'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Backend Engineer at Revi

- **Company:** Revi
- **Location:** 185 Clara St San Francisco, CA
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-11
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/revi/539e6163-1e49-4d38-bb49-8753d423ffdd

## Job description

The Revi Mission 🚀 Brick and mortar is not dead but drastically changing, and Revi is leading that change into the future. 31 years ago, Web 1.0 started and it gave people the ability to click hyperlinks and read text. When Web 2.0 came about 10 years later, it revolutionized the world. It allowed people to do things like buy, ship, mail, shop, and more.

In the past, doing these things was only reserved for an in-person physical experience, but they can now be done online. That one technological advancement, though simple, changed the world. Now, the internet is so robust that there are things you can do online that you can not do in a physical location. This is the next great shift in the market that Revi is calling Web 3.0. Companies are now trying to bring this digital experience into physical stores in their own siloed ecosystems. For example, Uber brings a simplified way to interact with cabs in the physical world, Bonobos brings a simplified way to interact with their physical retail stores, and the Amazon Go store simplifies purchasing in its physical stores. Revi is looking to bring this way of interacting with physical locations to all consumers, no matter what physical store you walk into.

Revi offers businesses an in-store digital platform that allows businesses to build long-lasting relationships with their customers and allows consumers to interact with any business they walk into digitally. Our product is a beautifully designed in-store self-ordering system where consumers can buy, pay, get rewards, and much more. The data collected is leveraged to improve the ordering experience and attract new consumers. With a fresh round of Series A funding from top Silicon Valley seed investors, we are ready to pursue a multi-billion dollar opportunity.

It's an excellent time to join because 🥳 We've reached an inflection point. After closing our $14.5M Series A, we're not just building a product – we're defining a category. Our in-store AI platform is live with growing restaurant chains, and we're seeing strong product-market fit with customers actively requesting new features. This is your opportunity to join at the perfect moment: early enough to have a massive impact and shape our technical direction, but mature enough that you'll be building on proven foundations with real customer traction.As we scale from 15 to 50+ engineers over the next 18 months, you'll be part of building something that matters. You'll work on interesting technical challenges at the intersection of real-time systems, AI/ML infrastructure, and consumer-facing products used by thousands of restaurants and millions of diners. You'll have the autonomy to make significant architectural decisions, the resources to execute properly, and the team culture where your work directly influences both our technology stack and our business outcomes. Plus, you'll be joining a team that values engineering excellence, ships fast, and solves real problems for real businesses.

The Revi Role 👩‍💻 👨🏾‍💻 As a Senior Backend Engineer, you'll be a technical leader responsible for designing and scaling the core systems that power Revi's restaurant AI platform. You'll spend approximately 70% of your time on backend architecture building robust APIs, optimizing database performance, and ensuring system reliability at scale and 30% applying AI/ML techniques to improve our ordering intelligence, personalization, and operational efficiency. You'll own significant technical areas end-to-end, from architecture and implementation to production monitoring and optimization. This role requires both deep backend expertise and practical AI/ML experience – you should be comfortable writing production Python and Go services, designing scalable APIs, and deploying ML models that directly impact customer experience. You'll collaborate closely with product, design, and other engineering teams to ship features that delight restaurant operators and diners while maintaining high technical standards.

## What you'll do👷🏾‍♂️

- Design and build scalable backend services and APIs in Python and Go that power our restaurant ordering platform
- Own technical areas by providing technical leadership for cross-functional teams and driving architecture decisions
- Build and deploy ML infrastructure including inference services, model fine-tuning pipelines, and evaluation frameworks
- Develop and maintain RESTful APIs and SDKs used by restaurants and internal teams
- Drive large cross-functional projects independently from planning to launch to ongoing maintenance with high autonomy
- Optimize database queries, caching strategies, and system architecture for performance at scale
- Collaborate on product design and UX to ensure technical feasibility and optimal user experience
- Establish operational excellence through monitoring, alerting, documentation, and incident response
- Ship product features with complete ownership from initial design through production deployment and iteration
- Collaborate with engineers to design elegant architectures and pragmatic solutions to complex problems
- Mentor junior engineers and contribute to team knowledge-sharing through code reviews, tech talks, and documentation

What we expect you’ll bring to the role: 😎

- 8+ years of experience building and shipping production software systems at scale
- Strong track record of writing scalable, performant, and maintainable backend code - we care more about engineering fundamentals than specific frameworks
- Hands-on experience with Python and/or Go in production environments, including designing and building RESTful APIs
- Practical AI/ML experience - familiarity with LLMs, ML model deployment, inference optimization, or GenAI applications
- Deep understanding of database design, query optimization, and distributed systems principles
- Experience with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices
- Passion for shipping customer-centric products and iterating based on real-world usage
- Strong communication skills and ability to collaborate effectively with cross-functional teams
- Comfortable with ambiguity and rapid iteration in a fast-paced startup environment

## Our Values

- ❤️ Heart: A team that is passionate about what they do, with a heart of giving back.
- 🔨 Impact: Being a versatile team player with an innovative mind and a firm backbone to make an impact on everything they touch.
- 🏆 Excellence: A team committed to excellence in all we do, with integrity and supreme service.

Perks and Benefits of Joining the Revi Team

- Equity package
- Competitive salary, 15% target bonus
- Professional development
- Excellent and comprehensive health plans (Medical, dental, vision, etc)
- Flexible Vacation Policy, Paid holidays
- Organized volunteer events to give back to our community
- Off-sites, events and happy hours
- 401k

## About Revi

## Company Overview
- **One-liner**: Revi is an AI-powered point-of-sale and revenue growth platform that helps restaurants and retail businesses personalize customer engagement, automate upsells, and build loyalty through a fusion of hardware, software, and a consumer app.
- **Entity Type**: Private (Series A, total funding $24.26M)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Eugene Johnson (CEO), Raj Katira (Co-Founder & VP, Operations)

## Core Business
- **Primary industries**: Restaurant technology, point-of-sale (POS), AI-driven marketing, customer engagement
- **Target customers**: B2B – restaurants, quick-service, and physical retail businesses (SMB to enterprise)
- **Mission/purpose**: “Turning every point-of-sale into a revenue growth engine” by creating digital profiles for in-store customers and enabling hyper-personalized engagement.

## Products & Services
- **Revi POS Hardware**: On-premise devices that capture transaction data and enable digital ordering, self-service, and QR code payments.
- **Revi Consumer App**: Mobile app for order ahead, delivery, rewards, and personalized offers.
- **AI-Powered Upsells & CRM**: Automated upsell suggestions, instant rewards, and customer relationship management tools that optimize the purchase journey.
- **Marketing Automation**: Tools for targeted campaigns based on purchase history and consumer profiles.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (conflicting reports: a 2020 source cited $15M valuation; no recent figure disclosed)
- **Key Metric**: Annual Revenue $3.4M (2024); Total Funding $24.26M
- **Notable Investors/Partners**: Not publicly disclosed
- **Growth Signals**: 145 customers as of 2024; headcount of 28–34 employees (+15.3% YoY growth); actively hiring AI engineers and senior roles; expanded to 5 countries (US, Guatemala, Colombia, Argentina, Venezuela).

## Competitive Advantages
- **Integrated hardware + software + app ecosystem** that creates a seamless, end-to-end experience for both merchants and consumers.
- **AI-driven personalization** that turns every transaction into a data-rich opportunity for automated upsells and loyalty.
- **Focus on revenue growth** rather than just transaction processing, differentiating from legacy POS providers.

## Strategic Focus
- **AI engineering expansion**: Recent job postings for Senior and Junior AI Engineers indicate a push to deepen machine learning capabilities.
- **Product development**: Building out consumer-facing features (order ahead, rewards) and merchant-side analytics.
- **Scaling operations**: Hiring for Partner Success, US Operations, and VP-level roles to support growth.

## Why Work Here
- **Culture**: Rated 4.4/5 on employer review platforms (work-life 4.2, compensation 4.3, culture 4.3, career 4.3).
- **Work model**: In-office at San Francisco HQ (185 Clara St) with some hybrid roles; on-site workspace culture.
- **Engineering culture**: Emphasis on AI and platform engineering; small but growing team (28–34 people) with cross-functional collaboration.
- **Notable perks**: Not explicitly detailed, but the company promotes a “growth engine” mentality and offers roles across product, engineering, operations, and customer success.

## Sources
1. [getrevi.com](https://www.getrevi.com/)
2. [builtin.com](https://builtin.com/company/revi-getrevicom)
3. [theorg.com](https://theorg.com/org/revi)
4. [linkedin.com](https://linkedin.com/company/getrevi)
5. [getlatka.com](https://getlatka.com/companies/revi)

## Other roles at Revi

- [(Contract) Technical Recruiter](https://feeny.ai/job/contract-technical-recruiter-revi-185-clara-st-san-francisco-72sm662e1fdr) — 185 Clara St San Francisco, CA
- [Director of Partner Success](https://feeny.ai/job/director-of-partner-success-revi-185-clara-st-san-francisco-jnezs2qn1xgq) — 185 Clara St San Francisco, CA
- [Director of US Operations](https://feeny.ai/job/director-of-us-operations-revi-185-clara-st-san-francisco-rqmq5rbdynbz) — 185 Clara St San Francisco, CA
- [VP of Consumer](https://feeny.ai/job/vp-of-consumer-revi-san-francisco-5q7f8nymdw2q) — San Francisco, CA
- [Consumer Product Lead](https://feeny.ai/job/consumer-product-lead-revi-san-francisco-7kt9heb8gqwx) — San Francisco, CA
- [Head Of People](https://feeny.ai/job/head-of-people-revi-san-francisco-m2m7wnm08557) — San Francisco, CA
- [Partner Success Manager](https://feeny.ai/job/partner-success-manager-revi-san-francisco-j9rw54jscm9s) — San Francisco, CA
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