--- title: 'Data Platform Engineer at Owner.com' canonical: 'https://feeny.ai/job/data-platform-engineer-owner-com-remote-a3m6twwmta4a' type: 'job' last_seen: '2026-09-08' --- # Data Platform Engineer at Owner.com - **Company:** Owner.com - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/owner/cc6453a3-6cfe-4a4a-9bab-9dd170cb8c6c ## Job description ## 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 are looking for you We are looking for a mission-driven Data Platform Enginer to build Owner's data platform - the foundational systems that power analytics, AI, and decision-making across the company. The Data Platform team owns everything data flows into and out of: ingestion, transformation, storage, orchestration, and the reverse ETL, semantic layers that put data back in the hands of the teams and products that need it, and infrastructure for our internal BI system. Today that system works, but part of it was built outside of SOT (in Hex) and needs to be migrated into DBT. You'll replace it with reproducible, production-grade infrastructure - and then make it self-service for the analysts, engineers, and AI systems that depend on it. This is an exciting role to build out the foundations of our data platform. The team is four engineers and growing, there is very little legacy to work around, and the decisions you make in your first year will define how Owner uses data for years. Depending on your interests, there is room to focus on core pipeline and platform infrastructure, or on the semantic layer that sits between LLMs and our data and defines how AI queries it. This role is 100% remote and can be based anywhere in the United States or Canada. For San Francisco-based candidates - we also have a new HQ in the Presidio for optional in-person collaboration. ## Our stack - Ingestion: Fivetran, Portable - Transformation: dbt, Hex - Storage: Snowflake - Orchestration: Dagster - Observability: Metaplane, Select.dev http://Select.dev - Tracking: PostHog, GA4 - Reverse ETL: Hightouch, Fivetran/Census - BI: Sigma, plus an internal solution The impact you will have - Design and build the data systems that power analytics, AI, and business intelligence across Owner - Replace one-off custom scripts with reproducible, production-grade pipelines - Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers - Improve data reliability, consistency, and compliance so every stakeholder can trust the numbers - Move the team to self-service tooling for analysts and partners - Identify and drive cost and performance optimizations across compute, storage, and processing - Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage - Provide thoughtful code reviews and technical guidance to peers, and help us build a great team Who you'll work with - The Data Platform team - four engineers today, plus the teammates we're hiring alongside you - reporting into Data Platform leadership - Data analysts, product engineers, and business teams across Owner (marketing, sales, ops, finance) who depend on this data every day - Product and Engineering leadership, on both internal decision-making and customer-facing product use cases ## What we're looking for - 5+ years of data engineering or analytics engineering experience - Strong SQL and Python fluency - Hands-on production experience with Snowflake - Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow - Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems - Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders - Comfort building from zero - strong opinions, real energy for the work, and the ability to create structure where none exists - A sense of ownership, curiosity, and commitment to continuous learning While it's not required, it's an added plus if you also have - Experience building a semantic layer, or data infrastructure for AI/ML and LLM retrieval (RAG, feature stores, dataset compliance) - Experience with reverse ETL or personalization platforms - Databricks experience (we run Snowflake today) - Experience with data governance, access control, and cost optimization for large-scale data platforms - Experience mentoring engineers and fostering a culture of learning and technical excellence - Genuine interest in the product and our customers - helping local businesses succeed, not infrastructure for its own sake Pay and benefits The estimated starting base salary range for this role is $190K-220K depending on level, location and experience, plus a generous pre-IPO equity package Other benefits include comprehensive health coverage, work from anywhere (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 a scammer, please mark the communication as "phishing" or “spam” and do not respond. ## About Owner.com ## Company Overview - **One-liner**: Owner.com provides an all-in-one AI-powered platform for independent restaurants to build websites, drive online orders, create branded apps, and automate marketing, acting as a Shopify‑meets‑HubSpot for the food industry. - **Entity Type**: Private (Series C; raised $120M in latest round) - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 - **Founders**: Adam Guild (CEO) and Dean Bloembergen (CTO) ## Core Business - **Primary industry**: Restaurant technology / Food & beverage SaaS - **Target customers**: Independent restaurants and local businesses (B2B, SMB) - **Mission**: To help local businesses succeed online by providing a complete growth system that lets them compete with large corporations. ## Products & Services - **AI‑Powered Website & Branded App**: Custom, commission‑free online ordering for restaurants, including guest management and marketing automation. - **Automated Marketing Platform**: Email and text marketing campaigns driven by AI, designed to increase customer retention and order frequency. - **Customer Relationship Management (CRM)**: Tools to manage customer data, preferences, and loyalty programs. - **Delivery Without Commission**: Owner enables restaurants to accept orders directly without paying third‑party delivery fees. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of **$182.2M** (8 rounds), including a $120M Series C; annual revenue estimated at **$15M** (LinkedIn data) — the company itself describes “tens of millions in revenue.” - **Notable Investors**: Benchmark, Headline, Redpoint; individual investors include Fidji Simo (former Instacart CEO), Dharmesh Shah (HubSpot co‑founder), Jack Altman (Lattice CEO), Alex Bard, and others. - **Growth Signals**: - Headcount grew **109.8% YoY** to **507 employees** (as of mid‑2026). - Global presence across 48 countries, with major hubs in San Francisco, Toronto, Colombia, and Mexico. - Over **100,000+ restaurants** served, processing hundreds of millions of orders. ## Competitive Advantages - **All‑in‑One Platform**: Combines website, app, ordering, marketing, and CRM in a single solution — replacing the need for multiple tools. - **Zero Commission on Orders**: Direct ordering removes third‑party delivery fees, a major pain point for independent restaurants. - **AI‑First Strategy**: Uses artificial intelligence for marketing automation, personalization, and customer insights, differentiating from traditional restaurant tech providers. - **Speed & Ownership Culture**: Emphasizes rapid execution and individual ownership, enabling fast product iteration and customer responsiveness. ## Strategic Focus - **Scale Beyond Restaurants**: Vision to extend the platform to all local business types (e.g., pizzerias, retail, services) after perfecting the restaurant use case. - **Deepen AI Capabilities**: Building AI that “every local business owner will use to succeed” — likely expanding automation, predictive analytics, and natural language interfaces. - **International Expansion**: Growing team globally (48 countries) with remote‑first operations; hiring aggressively in engineering, sales, and customer success. ## Why Work Here - **Culture & Values**: “Build as an Owner,” “Move fast, deliver excellence,” “Obsess over customers,” “Bring good energy,” and “Scale yourself” — reinforced weekly at all‑hands meetings. - **Remote‑First**: Most roles are fully remote, with occasional in‑person collaboration in San Francisco or Toronto sales hub. - **Compensation & Benefits**: - Competitive base salary (e.g., $135k–$150k for People Business Partner role) - Generous pre‑IPO equity package - Comprehensive health, dental, and vision insurance - Unlimited / flexible PTO + extra perks (lifestyle stipend, monthly good‑vibes budget) - **Engineering Culture**: High talent density; teams include alumni from Shopify, HubSpot, DoorDash, ServiceTitan, Stripe, and Rappi. Focus on fast learning (“reading is a superpower”) and data‑driven decisions. - **Growth Trajectory**: Hyper‑growth startup with 68+ open roles across engineering, product, sales, and operations — significant opportunity for career acceleration. ## Sources 1. [owner.com/careers](https://www.owner.com/careers) 2. [owner.com/leadership](https://www.owner.com/leadership) 3. [LinkedIn Company Page – Owner.com](https://www.linkedin.com/company/owner-com) 4. [Lever Job Posting – People Business Partner](https://jobs.lever.co/owner/a1afd527-13b3-4e32-a6d5-515acf5d6bcb) 5. [LinkedIn Jobs Page – Owner.com](https://www.linkedin.com/company/owner-com/jobs) ## Other roles at Owner.com - [Senior Video Editor](https://feeny.ai/job/senior-video-editor-owner-com-san-francisco-x10sfmt2tgae) — San Francisco, CA - [Customer Success Manager - Costa Rica](https://feeny.ai/job/customer-success-manager-costa-rica-owner-com-costa-rica-vsd7yys8dj71) — Costa Rica - [Customer Success Manager - Mexico](https://feeny.ai/job/customer-success-manager-mexico-owner-com-mexico-bw588gydtz8j) — Mexico - [Customer Success Manager - Colombia](https://feeny.ai/job/customer-success-manager-colombia-owner-com-colombia-4navj49kssfs) — Colombia - [Sales Development Representative - Fall/Winter Cohort](https://feeny.ai/job/sales-development-representative-fall-winter-cohort-owner-com-toronto-kk8s5xdgn23p) — Toronto, Canada - [Principal Product Manager, AI Restaurant Experience](https://feeny.ai/job/principal-product-manager-ai-restaurant-experience-owner-com-united-states-or-nsgmxfdbak02) — United States OR, Canada - [Senior Talent Partner, Design](https://feeny.ai/job/senior-talent-partner-design-owner-com-united-states-ezhf43f1nf0k) — United States - [Customer Support Representative (Colombia) - October 6th Start Date](https://feeny.ai/job/customer-support-representative-colombia-october-6th-start-date-owner-com-svg33v532v7x) — Colombia - [Engineering Manager, GTM](https://feeny.ai/job/engineering-manager-gtm-owner-com-united-states-atjgar534esr) — United States - [Staff Database Engineer](https://feeny.ai/job/staff-database-engineer-owner-com-united-states-2efbjh2kfjrx) — United States