Impact Analytics - Engineering Manager - SaaS Platform (Bengaluru)

Impact Analytics - Engineering Manager - SaaS Platform (Bengaluru)

08 Nov
|
Impact Big Data Analysis Private
|
Bengaluru

08 Nov

Impact Big Data Analysis Private

Bengaluru

About the job :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 growth opportunities- Communicate technical and delivery status effectively to senior leadership and cross-functional stakeholdersMandatory 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, including metrics, logs, distributed tracing, root cause analysis, and performance tuning- Strong experience working in Agile/Scrum development environments- Excellent verbal and written communication skills- Strong ownership mindset with attention to quality, reliability, and customer impactPreferred / 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 architecturesWhat 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.Accolades :- Ranked as one of America's Fastest-Growing Companies by Financial Times (2020-2024).- Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 (2018-2024).- Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.- Strategic partnership with Google for generative AI tools.- Recognized in multiple Gartner reports including Market Guides and Hype Cycle. (ref:hirist.tech)

📌 Impact Analytics - Engineering Manager - SaaS Platform (Bengaluru)
🏢 Impact Big Data Analysis Private
📍 Bengaluru

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