**About Owner**
Owner is the AI-native system local business owners use to succeed, starting with restaurants.
We’re building the system that replaces the many tools owners use to run their business.
It powers everything from the restaurant’s website, online ordering, CRM, POS, and more.
**Product philosophy**
Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically.
Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it.
Using Owner should feel like having a team of great operators, engineers, and marketers working for you.
**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.
**Our traction**
Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an [Owner.com](http://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’re building a highly impactful, data & AI-first Product Analytics function at [Owner.com](http://Owner.com). As a Senior Associate, you will play a pivotal role in shaping the product roadmap through close collaboration with Product Managers to establish opportunity impact sizing, product effectiveness tracking, and direct product strategy & tactical contributions.
Your work will shift to wherever the highest impact lies - whether that's deep root-cause analysis on product opportunity areas, sizing the expected impact of new features to shape engineering priorities, designing & providing visibility to product health metrics, or directly contributing to the development of analytics and AI-powered product features. The best candidates will not simply provide insights to the EPD (Engineering & Product) org, but be a strategic and operational driver, identifying gaps/opportunities, recommending product roadmap improvements, and creating overall meaningful business impact through direct influence on the product.
This role is 100% remote and can be based anywhere in the United States or Canada.
**You should apply if you ...**
- Have felt torn about whether to pursue a business vs pure technical/analytical career path (at Owner, we believe these must merge)
- Identify inefficiencies in everyday life - and see them as exciting opportunities.
- Aren't satisfied with understanding things at a surface level, and get satisfaction from understanding the root cause (the WHY)
- When solving problems, you enjoy diving deeply in them to understand root causes and become a "subject matter expert”, but know when to stop “overbuilding”
- Aren't afraid of and enjoy picking up new skills and tools to problem-solve
- Enjoy tinkering and testing (or building) applications for AI tools like Claude Code, Codex
- Want to build solutions for lasting processes and systems. Love a good data-driven decision-making process (but also understand when this is possible and when it isn't)
- Have a proven track record of collaborating effectively with cross-functional teams.
**The impact you'll have**
- **Influence Product Planning Roadmap:** Influence product planning through informative impact sizing, enabling more strategic decision-making for Owner.
- **Uncover Product Gaps, and Recommend/Action Resolutions:** Analyze the root cause for product success metric gaps and issues, and recommend immediate resolution pathways, or action them yourself.
- **Own Your Product Pod’s Analytics:** Improve the analytics and engagement strategy for your product pod(s). This isn't just an insights role - you'll design and ship data products and automated AI workflows that enable teams to act on data without waiting for analysis.
- **Tackle emerging priorities:** Lead or contribute to ad hoc projects as business needs arise; this role flexes with what matters most.
- **Ultimately, help grow our customers’ sales and improve their experience:** Across all product pods, the mission is uniform: improve our customer’s experience and help customers grow their sales with [Owner.com](http://Owner.com).
**Who you’ll work with**
- **Reporting Structure**: This role reports directly to Mark Rogal, Manager, Product Analytics & Applied AI
- **Team Collaboration**: You will be embedded within up to two product squads (preferably one), working closely with Product Managers, designers, and developers within their regular sprint cadence.
- **Technical Collaboration**: You will collaborate with Analytics Engineers on all technical aspects, including data modeling, data quality, and the use of tools like DBT and Snowflake.
- **Executive Visibility:** The work in this role directly drives product strategy, which means regular exposure to senior and executive leadership.
**What we're looking for**
- 4+ years in analytics, strategy, or ops - whether that's management consulting, startup analytics, or a hybrid path that's hard to label
- Extremely strong quantitative skills, with additional technical background or education strongly preferred. SQL/Python/Claude Code/Codex and product analytics experience is a strong plus
- You've built things - dashboards, tools, processes - not just delivered decks
- You dig into root causes until you actually understand the problem, not just the symptoms
- Comfortable with ambiguity; you don't need a playbook to figure out what to work on next
- Experience with SaaS, marketplaces, or high-growth startups preferred
- Restaurant industry experience is a plus
**Compensation and benefits**
- The estimated base salary range for this role is $160,000 - $200,000 USD depending on such factors such as level, experience and location. The offer will also include a generous pre-IPO equity package
- Other benefits include comprehensive health coverage, remote first, unlimited PTO - plus extra fun perks!
**What our interview process looks like**
**Step 1: Recruiter Phone Screen**
Begin with a conversation with a recruiter to evaluate your background, better understand what you’re looking for in your next opportunity, and answer any early questions you may have about the role or company.
**Step 2: Hiring Manager Interview**
Participate in a 45-minute video interview with the hiring manager. This conversation will go deeper into your experience, approach to work, and views on problem-solving and collaboration.
**Step 3: Technical Case Study (Pass/Fail)**
Receive a technical case study to complete independently. You will have seven days to submit your assignment. The team will review your submission and provide detailed feedback on whether you have passed or not passed this stage.
**Step 4: Full Round / Case Study Presentation**
If you pass the technical case study, you'll move forward to a 60-minute presentation round with several members of the Business Operations team. You'll walk the team through your approach, thought process, and recommendations, and answer live follow-up questions.
**Step 5: Final / Executive Interviews**
The final stage consists of one to two executive interviews with C-suite leadership team members. These 30-minute conversations focus on overall alignment, communication, strategic thinking, and long-term fit with the business.
**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 a scammer, please mark the communication as "phishing" or “spam” and do not respond.
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