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.

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.

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 :

• 14 - 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

• Strong experience working in Agile/Scrum development environments

• Excellent verbal and written communication skills

Preferred Qualifications :

• 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

What We Offer :

• Opportunity to lead large, high-impact projects for global Fortune 500 clients.

• Work in a high-growth startup environment with a flat, collegial culture.

• Best-in-class remuneration and benefits.

• A platform for personal and professional growth with ownership and autonomy.