Engineering Manager

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

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
  
  

• 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, 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
  

• 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
  
  

• 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.
  
  

• Ranked as one of Americas Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of Americas Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software Leader Board 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.