Reflow gives operations teams real-time visibility into how work actually flows, so they can identify what to optimize and automate what matters. It shows leaders where work slows down across teams and systems and what's driving cost and friction. Teams can get up and running in a day and start seeing where work breaks or drifts, without a heavy setup process. From there, Reflow surfaces the highest-impact opportunities for optimization and automation, so prioritization…
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Get real-time visibility, make data-driven decisions, and measure ROI from automation and optimization.
Full company description
Reflow gives operations teams real-time visibility into how work actually flows, so they can identify what to optimize and automate what matters. It shows leaders where work slows down across teams and systems and what's driving cost and friction.
Teams can get up and running in a day and start seeing where work breaks or drifts, without a heavy setup process.
From there, Reflow surfaces the highest-impact opportunities for optimization and automation, so prioritization isn't guesswork. As changes roll out, teams can track whether they reduced cost, improved speed and quality, or lowered risk, and measure ROI over time.
LinkedIn followers
635
People associated on LinkedIn
16
Reported office locations
San Francisco, Ca, US
Business categories
Software
Enterprise Applications
B2B
Customer Service
Other recorded names
Reflow
Profile identifies a recruitment agency
No
Reported total investment
15,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
11-50 employees
Headquarters
San Francisco, Ca
Organization type
Privately Held
Year founded
2024
Reflow has 7 open jobs in Canada as of November 6, 2026. Top locations: Toronto.
Candidates need applied data science or machine learning experience in a product setting, a solid grounding in statistics and experimental design, and strong Python and SQL skills. Experience moving models into production is expected.
Candidates need experience managing cloud infrastructure on AWS, GCP or Azure, and a strong background in CI/CD and container orchestration. They also need a solid understanding of infrastructure security, including encryption, access control and monitoring.
8+ YOEReflow needs 8+ years of backend engineering and 4+ years of technical leadership, plus recent hands-on experience with production agentic systems. Candidates should be strong in TypeScript and Python and have built evals, tracing and LLM cost management.
Candidates need experience with data warehouse architecture and scalable analytics infrastructure, strong SQL and data modeling skills, and hands-on work with ETL tools and cloud data operations. Curiosity about turning data into insights and an ability to balance cost, scale and complexity are also expected.
BigQuery, Snowflake, Redshift, Metabase, Tableau, Power BI
8+ YOEReflow needs 8+ years of backend and frontend experience, strong production experience with Django and Next.js, and some engineering leadership. Candidates should have built analytics-heavy applications, understand API and data modeling, and use AI coding tools in production work.
Candidates need expert Swift and macOS development experience, with deep knowledge of Apple frameworks and security. Proven performance profiling and debugging skills, and experience in managed device (MDM) environments, are also needed.
Candidates need proficiency in C# and hands-on Windows app development with Avalonia UI, WPF, UWP, or WinUI. They also need experience profiling and optimizing apps, working with MDM-deployed enterprise environments, and comfort with APIs.