Lead and manage a team of engineers, mentor staff, improve product efficiency, and contribute technically while fostering team collaboration and innovation.
👋 About Owner.com
Owner is the AI growth system for local restaurants.
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts.
Owner is like having an army of engineers and marketers on your side, just like the big chains.
🌎 Our vision
We’re starting by helping independent restaurants succeed online.
But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.
Once we nail the solution for restaurants – we’ll scale it into every other local business type.
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.
Read our Series C memo here →
🚀 Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.
More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees.
⭐ Our team
Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.
We’ll be scaling even faster in 2026 to keep pace with our customer growth.
🌆 Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location.
🔍 Why we’re looking for you
We are looking for an exceptional Engineering Manager to lead a group of talented senior and staff engineers at Owner. Our ideal candidate is an inspiring leader who is very technically strong/hands-on and brings positivity and passion to their work and their teams.
This is a remote role which can be based anywhere in the United States. For candidates based in the San Francisco Bay Area: we have a beautiful HQ in the Presidio, and we like to get together for periodic in-person collaboration!
💥 The impact you will have
- Lead and grow a high-performing team of engineers
- Provide mentorship and career development for team members, helping them grow both technically and professionally.
- Create an environment that pulls people together and gets the best out of them
- Help increase efficiency, product velocity and quality
- Establish a sense of urgency and direction, set expectations with team and individuals
- Encourage innovation and foster an environment of continuous improvement
- Contributes technically: able to code/fix bugs as needed
🤝 Who you’ll work with
- This role reports to our SVP of Engineering
- This role will partner closely with Design, PMs and various stakeholders throughout the company.
- You will lead a group of experienced and exceptionally talented engineers!
✅ What we’re looking for
- At least 3 years of experience managing engineering teams, either directly or as a tech lead
- Staff-level (IC6+) engineering experience prior to shifting into a management role
- Experience building high-performing teams and hiring A+ talent
- Excitement around keeping coding skills sharp and jumping into the trenches with the team as needed
- Experience leading cross-functional teams to deliver new product features rapidly
- Voracious learner. You consistently want to grow, master your craft, and scale yourself.
- Direct experience using AI in your everyday work
- Motivated by and extremely passionate about our mission to empower independent business owners.
🏆 Pay and benefits
- The estimated base salary range for this role is $220K-$250K, depending on experience and location. The offer also includes a a generous pre-IPO equity package.
- Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!
🚩 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as "phishing" or “spam” and do not respond.
Top Skills
AI
Owner Palo Alto, California, USA Office
Palo Alto, CA, United States, 94301
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


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