Full-Time
Lead Full Stack Developer
Reflow
11-50 employees
Transforms operational activity into actionable insights
No salary listed
Remote in Canada + 7 more
More locations: Remote in UK | Toronto, ON, Canada | Remote in Germany | Remote in Ireland | Remote in Spain | Remote in Italy | Remote in France
Remote
 Software Engineering (1) |
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- Experience in Django, Python, and Next.js with React, including the ability to work across backend and frontend systems.
- Strong understanding of API architecture, data modeling, and performance tuning.
- Proven ability to build analytics-heavy applications and make data usable, visual, and fast.
- Build and maintain core product features across frontend and backend stacks using Next.js and Django.
- Design and implement analytics dashboards, data visualizations, and real-time reporting systems.
- Own API design, optimization, and integration between applications and backend services.
- Ensure database performance and reliability through schema design and query optimization.
- Collaborate with product, design, and data teams to move features from concept to production.
- Help shape development standards, best practices, and scalable architecture.
- Familiarity with data warehousing, extract, transform, and load (ETL), or analytics pipeline concepts.
- Experience in frontend performance optimization and responsive user interface design.
- Understanding of artificial intelligence-driven or automation-based backend systems.
Reflow provides an enterprise-grade workforce and workflow intelligence platform that reveals how work actually happens across teams and systems, helping plan AI and automation investments. It converts operational activity into structured data and delivers real-time views of task flows, bottlenecks, and deviations without complex integrations or manual time tracking. It differentiates itself with a privacy-first design and system-level visibility (not employee monitoring) and SOC 2 Type 2 controls. The goal is to help mid-market and enterprise organizations optimize processes and achieve measurable ROI from automation, as evidenced by early customer savings.
Company Size
11-50
Company Stage
Seed
Total Funding
$15M
Headquarters
San Francisco, California
Founded
2024
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Simplify's Take
What believers are saying
- January 2026 launch created fresh demand among enterprises adopting AI and automation.
- Early customer claims include $1.2 million saved in two months.
- July 2026 website updates show active product development and ongoing positioning refinement.
What critics are saying
- Celonis, ServiceNow, and UiPath already own enterprise process intelligence and automation budgets.
- Similarweb lists Sonia, Ramain, and Wisedocs as 2026 workflow-intelligence competitors.
- Reflow’s value depends on proving ROI fast; one missed deployment kills renewals.
What makes Reflow unique
- Reflow launched February 11, 2026 with a $15M+ seed and enterprise workflow intelligence.
- It maps work across people and systems, not just individual productivity or time tracking.
- Privacy-first controls and SOC 2 Type 2 messaging target regulated operations teams.
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Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%We led Reflow’s $15M Seed to build the system of record for operational intelligence — bringing visibility and measurable ROI to enterprise AI automation.
Reflow launches following a $15M+ seed round focused on operational visibility for enterprises. The company plans to scale its platform to more mid-market and enterprise customers while expanding workflow and workforce intelligence capabilities to help organisations understand work processes before applying automation or AI. Reflow has closed a seed funding round of more than $15 million to support ongoing technology development and broaden access to its workflow and AI automation intelligence, alongside the launch of its workforce and workflow intelligence platform for enterprise customers. As organisations adopt AI, many are able to measure outcomes but have limited visibility into the processes that produce them. As operations scale, this can make it more difficult to assess capacity, identify automation opportunities, or evaluate the impact of AI initiatives. Reflow is designed to address this challenge by making operational work observable. The platform provides real-time visibility into how work moves across people, systems, and processes, without relying on time tracking, self-reported data, or complex integrations. By converting operational activity into structured data, it enables organisations to identify workflows suitable for automation and assess the results of those efforts. The platform takes a system-level approach, observing workflows end to end to surface task flows, bottlenecks, and process deviations. This supports more informed decisions around automation and optimisation and is suited to mid-market and enterprise organisations with large operational teams performing high-volume, computer-based work across functions such as customer support, accounting, legal, and compliance. Reflow is built to support understanding of workflows and capacity rather than monitoring individual employees. The platform incorporates privacy-focused design principles and enterprise-grade controls, including configurable metadata collection and flexible visibility settings. Founded by Ugur Kaner, a founder with Turkish roots now based in the United States, Reflow builds on prior experience in developing technology platforms for business users. Commenting on the launch and funding, Kaner said: Reflow gives leaders a clear, shared view of how work actually happens, so automation decisions are grounded in reality, not assumptions. In an AI-driven world, that visibility becomes essential infrastructure. Early users of the platform have reported improved visibility into operational capacity, more efficient resource allocation, and clearer identification of workflows suitable for automation. Looking ahead, the company plans to scale its platform to support a broader set of mid-market and enterprise customers while continuing to invest in product development. Its focus is on expanding workflow and workforce intelligence capabilities that help organisations better understand how work is performed before applying automation or AI, with the goal of establishing the platform as foundational infrastructure for AI-driven enterprise operations.