--- title: 'Full-Stack Data Platform Engineer at Reflow' canonical: 'https://feeny.ai/job/full-stack-data-platform-engineer-reflow-canada-bm319z1zz1px' type: 'job' last_seen: '2026-09-14' --- # Full-Stack Data Platform Engineer at Reflow - **Company:** Reflow - **Location:** Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-03-18 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.ashbyhq.com/reflow/1fb90633-e2b4-4560-a421-b08016b08c1d ## Job description We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence — powering analytics, workflow insights, and economic modeling. ## What you’ll do - Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar). - Develop and optimize ETL pipelines to ingest data from APIs and internal systems. - Model and manage datasets to support flexible analytics and product features. - Collaborate with engineering team to improve data mining and analytics performance. - Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights. - Ensure data reliability, cost efficiency, and performance optimization across environments. - Implement event-based pipelines for real-time analytics and reporting. - Contribute to data governance, privacy, and security best practices. ## Who you are - Experienced in data warehouse architecture and scalable analytics infrastructure. - Strong with SQL, data modeling, and pipeline performance optimization. - Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations. - Capable of balancing technical depth with real-world impact — you build systems people actually use. - Comfortable navigating tradeoffs between cost, scalability, and complexity. - Curious about how data translates into insights, decisions, and automation. Bonus points - Experience with Python for analytics and data wrangling. - Familiarity with AI/ML-driven analytics or predictive modeling. - Exposure to real-time or streaming data architectures. - Understanding of data governance, compliance, and secure cloud operations. ## Why join You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. You’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high-impact technical role that sits at the intersection of scale, performance, and strategy. We’re open to part or full-time. Ideal for builders who care about performance and precision at scale. Compensation: We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location. ## About Reflow ## Company Overview - **One-liner**: Reflow is a workforce and workflow intelligence platform that helps enterprises understand how work actually happens across people and systems, enabling leaders to optimize workflows, deploy automation with confidence, and measure real ROI. - **Entity Type**: Private (Seed stage; raised $15M+ in seed funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Uğur Kaner (repeat founder; previously co-founded Collective) ## Core Business - **Primary industry**: Enterprise operations intelligence, workflow visibility, and automation ROI measurement. - **Target customers**: Mid-market and enterprise organizations with large operational teams performing high-volume, repeatable, computer-based work (e.g., customer support, accounting, legal, compliance). - **Mission / purpose**: Make operational work observable so automation decisions are grounded in reality, not assumptions – becoming essential infrastructure for AI-driven enterprise operations. ## Products & Services - **Reflow Platform** (SaaS): Provides real-time visibility into how work flows across people, systems, and processes without relying on time tracking, self-reported data, or complex integrations. Features include: - Identifying bottlenecks, inefficiencies, and SOP deviations. - Prioritizing where automation or AI will have the highest impact. - Measuring the ROI of automation and optimization efforts over time. - Enterprise-grade privacy and security (SOC 2 Type 2, HIPAA, GDPR, CPRA/CCPA, configurable metadata collection, aggregated/anonymized views). ## Market Standing - **Valuation / Market Cap**: Not disclosed. - **Key Metric**: Total funding of $15M+ (Seed round, February 2026). - **Notable Investors / Partners**: Seed round led by [Basis Set Ventures](https://www.basissetventures.com/), with participation from Bling, BTV, E2, and others. Backed by operators from Collective, Boundless, Proper. - **Growth Signals**: - Early customer Collective reported saving $1.2M in two months and significantly reducing unnecessary headcount while increasing output. - Employees: 12 (monthly headcount growth +10.5%) with a rapid hiring ramp (51 open positions listed, quarterly job posting growth +537.5%). - Operates across 5 countries (US, Turkey, Germany, Netherlands, Armenia). - LinkedIn followers growing at +50.3% monthly. ## Competitive Advantages - **System-level observation** – Reflow observes workflows end-to-end rather than monitoring individual employees, avoiding the pitfalls of traditional time tracking or productivity scoring. - **Privacy-first by design** – No surveillance; aggregated/anonymized views, strict access permissions, and enterprise compliance certifications (SOC 2 Type 2, HIPAA, GDPR). - **Ready in a day** – Minimal setup, no manual integrations or self-reported data required. - **Actionable ROI measurement** – Measures the actual impact of automation, helping teams justify investments and iterate with data. ## Strategic Focus - Scale the platform to more mid-market and enterprise customers, particularly in operations-heavy functions (customer support, accounting, legal, compliance). - Continue expanding workflow and workforce intelligence capabilities to serve as foundational infrastructure for AI-driven enterprise operations. - Deepen integration with existing enterprise tooling and automation frameworks to further reduce friction. ## Why Work Here - **Founder-led** by repeat entrepreneur Uğur Kaner (co-founder of Collective), with a team of operators and product leaders from well-known startups. - **Rapid growth phase** – 51 open roles across engineering, data, sales, customer success, product, and operations. High autonomy and impact expected. - **Remote-first / flexible** – Operates in 5 countries; HQ in San Francisco but distributed team across US, Turkey, Germany, Netherlands, Armenia. - **Engineering culture** – Emphasis on building a “system of record for enterprise operations”; technical challenges include real-time data pipelines, ML for anomaly detection, and scalable infrastructure. - **Perks & environment** – Not explicitly listed, but roles are posted with a focus on “building products that help enterprises see the truth behind their operations” – mission-driven and data-obsessed. ## Sources 1. [reflow.ai](https://www.reflow.ai/) 2. [LinkedIn – Reflow](https://www.linkedin.com/company/reflowai) 3. [PRNewswire – Reflow launches with $15M+ seed](https://www.prnewswire.com/news-releases/reflow-launches-with-15m-seed-to-make-enterprise-operations-observable-at-scale-302684424.html) 4. [Tech.eu – Reflow launches following $15M+ seed round](https://tech.eu/2026/02/11/reflow-launches-following-a-15m-seed-round-focused-on-operational-visibility-for-enterprises/) 5. [Careers Page – jobs.ashbyhq.com/reflow](https://jobs.ashbyhq.com/reflow) ## Other roles at Reflow - [Founding Recruiter](https://feeny.ai/job/founding-recruiter-reflow-united-states-4mx9kz01mfa9) — United States - [Customer Success](https://feeny.ai/job/customer-success-reflow-united-states-q09qfaw3th5d) — United States - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-reflow-united-states-yezzsez2fm0e) — United States - [Lead Mac Developer](https://feeny.ai/job/lead-mac-developer-reflow-united-states-gzm789n4h2rz) — United States - [Fractional Product & Narrative Marketer](https://feeny.ai/job/fractional-product-narrative-marketer-reflow-united-states-7t1w6bw3wy30) — United States - [Fractional Head of Customer Success](https://feeny.ai/job/fractional-head-of-customer-success-reflow-united-states-dee50159m205) — United States - [Fractional Head of Sales](https://feeny.ai/job/fractional-head-of-sales-reflow-houston-bg8bn8x0mnhq) — Houston, TX - [Data Scientist](https://feeny.ai/job/data-scientist-reflow-canada-8ehe1074f8j1) — Canada - [DevOps & Security Engineer](https://feeny.ai/job/devops-security-engineer-reflow-canada-jb7r5mv1dhkp) — Canada - [AI Engineer](https://feeny.ai/job/ai-engineer-reflow-canada-zaghwne7yp51) — Canada