Engineering Manager - SaaS Platform
Summary
Leads and grows engineering teams building Python-based, cloud-native SaaS analytics platforms for global retail customers, owning delivery, architecture, reliability, and observability for mission-critical products. Core stack: Python/Java/C++, PostgreSQL, SQL, cloud platforms (GCP a plus).
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 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, 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 impact
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
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.
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.