Engineering Manager

About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.

What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.

For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here's a link to our website: www.impactanalytics.co.

Role Overview

Impact Analytics is looking for an experienced Engineering Manager to lead teams building scalable, cloud-native analytics platforms used by global retail customers. This role blends strong technical leadership in Python-based systems, people management, and ownership of platform reliability, observability, and performance for mission-critical SaaS products.

You will work closely with Product, Data Science, Architecture, and Customer Success teams to deliver high-quality solutions that power retail decision intelligence.

Key Responsibilities

• Lead and grow a team of software engineers delivering Python-based analytics and SaaS platforms
• Own delivery of complex, multi-service projects with a focus on scalability, reliability, and performance
• Provide hands-on technical leadership in Python/Java/C++, PostgreSQL, and SQL-heavy systems
• Drive architectural decisions aligned with Impact Analytics data-intensive and API-driven platforms
• Establish and mature observability, monitoring, alerting, and APM practices across services
• Ensure high availability and performance of customer-facing systems in production
• Collaborate with DevOps teams on cloud infrastructure, CI/CD, and release readiness
• Partner with Product Management and Data Science teams to translate retail business problems into robust engineering solutions
• Lead Agile execution including sprint planning, backlog grooming, retrospectives, and delivery tracking
• Act as a coach and mentor—supporting hiring, onboarding, performance management, and career growth
• Communicate technical and delivery status effectively to senior leadership and cross-functional stakeholders

Mandatory Skills & Experience

• 13–17 years of overall software engineering experience, including leading engineering teams
• Strong hands-on expertise in Python/ Java/ C++ and PostgreSQL
• Excellent SQL skills, including query optimization and handling large datasets
• Proven experience managing and delivering Python-based products or platforms
• Hands-on experience with cloud platforms (experience on GCP is a strong plus)
• Deep knowledge of Observability and Application Performance Management, including:
• Metrics, logs, and distributed tracing
• Root cause analysis and performance tuning
• Strong experience working in Agile/Scrum development environments
• Excellent verbal and written communication skills
• Ability to clearly present technical concepts to business and leadership audiences
• Strong ownership mindset with attention to quality, reliability, and customer impact
• Comfortable working in a fast-paced, customer-centric SaaS environment

Preferred / Added Advantage

• Exposure to frontend technologies such as ReactJS and modern web architectures
• Experience in the retail domain, especially analytics, forecasting, pricing, assortment, or supply chain systems
• Experience building data-heavy or analytics platforms at scale
• Familiarity with microservices, APIs, and event-driven architectures