Jobs at Mrsool

Analyze courier supply and dispatch operations across onboarding, retention, availability, earnings, assignment, acceptance, and delivery success. Build reliable metrics, dashboards, and self-service reporting; identify root causes of performance changes; evaluate experiments, incentives, and product initiatives; validate data quality; and translate findings into recommendations for product, operations, and leadership.

Leads end-to-end product and experience design for complex delivery-platform features, shaping product strategy, creating scalable UX and UI, evolving design systems, using research and data, partnering with engineering and product teams, and mentoring designers. The role focuses on high-frequency real-time experiences across ordering, tracking, captain workflows, and marketplace products.

Own end-to-end employee lifecycle operations, HRIS administration, workforce data reporting, policies, compliance, payroll coordination, benefits and insurance administration. Maintain accurate employee records, improve and automate operational workflows, respond to employee inquiries, and mentor People Operations team members. The role also provides operational metrics and dashboards to senior leadership while ensuring labor-law compliance and consistent HR processes.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Design and maintain batch and real-time data pipelines, data lakes, warehouses, marts, and reusable dbt models using Spark, Kafka, Maxwell, S3, Trino, BigQuery, and related technologies. Optimize distributed processing, data models, queries, storage, reliability, and costs. Establish data quality, observability, governance, automation, and CI/CD practices while partnering with Product, Engineering, Analytics, Data Science, and business stakeholders.

Lead end-to-end backend project execution, architecture, and technical decisions for highly concurrent, low-latency systems. Build scalable services using Ruby on Rails and Go, optimize PostgreSQL and Redis performance, maintain data consistency across microservices, and improve observability, testing, and CI/CD. Collaborate cross-functionally, mentor engineers, resolve infrastructure bottlenecks, and guide long-term architectural and organizational improvements.

Build and deploy machine learning and optimization models for marketplace matching, pricing, recommendations, ETA prediction, and conversational ordering. Design experiments and causal analyses, engineer features from large-scale operational data, and own production ML pipelines through deployment, monitoring, and retraining. Collaborate with product, engineering, DevOps, and operations teams to improve marketplace performance and reliability.

The Creative Copywriter will develop and edit marketing copy for websites, email, social media, advertisements, video scripts, and internal communications. Responsibilities include maintaining brand consistency, researching audiences and competitors, brainstorming campaign concepts, optimizing content for SEO and conversion, proofreading, and supporting content calendars and messaging guidelines. The role requires strong writing, storytelling, collaboration, organization, and deadline-management skills.

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.