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, the company builds industry‑leading merchandising solutions and foundational AI agents that redefine how retail decisions are made. Impact Analytics combines deep retail domain expertise, a strong innovation culture, and a global presence, and has been recognized globally by organizations such as Fortune, Gartner and the Inc. 5000.
Role Overview
This role is responsible for successfully onboarding and implementing our products—BaseSmart, PromoSmart, and MarkSmart—for enterprise customers. The professional will ensure seamless adoption, configuration, and long‑term success, bridging business requirements with product capabilities throughout the implementation lifecycle.
Key Responsibilities
- Lead end‑to‑end implementation of SaaS products for enterprise customers
- Drive customer onboarding, solution configuration, and deployment activities
- Gather and translate business requirements into product configurations
- Manage implementation timelines, deliverables, and go‑live readiness
- Conduct workshops, user training sessions, and product demonstrations
- Support UAT, SIT and production rollouts
- Troubleshoot functional and data‑related issues during implementation
- Collaborate with internal product, engineering and solution teams
- Act as trusted advisor to customers on product usage and best practices
- Ensure smooth post‑go‑live adoption and ongoing customer success
Required Experience and Skills
- 5–10 years of experience in SaaS product implementation, client delivery, or related roles
- Strong experience implementing SaaS products for enterprise customers
- Hands‑on involvement in onboarding, deployment and customer delivery
- Experience managing customer‑facing implementation projects
- Proficiency in SQL (queries, joins, data validation)
- Experience working with databases, tables and data models
- Understanding of data flows, integrations and system configurations
- Ability to analyze and troubleshoot data‑related issues
- Strong ability to understand business processes and map them to product capabilities
- Experience working with complex workflows and explaining them to customers
- Ability to troubleshoot functional issues and guide customers effectively
- Strong retail and pricing domain knowledge in areas such as pricing & promotions, markdown optimization, retail analytics, category management, retail merchandising, FMCG / CPG / grocery retail
Preferred Experience
- Experience with retail SaaS platforms such as Revionics, DemandTec, Blue Yonder, Nielsen, Circana, SAP Retail, TPM/TPO tools or similar
- Exposure to APIs, ETL processes and cloud‑based applications
- Experience working with US or European retail clients
- Familiarity with BI tools such as Power BI, Tableau or Looker
Benefits
- Opportunity to work on some of the best enterprise SaaS products built out of India
- Chance to experiment, learn and implement innovative solutions
- Flat, collegial work environment with a work‑hard, play‑hard attitude
- Platform for rapid growth for those willing to try new things without fear of failure
- Competitive remuneration with generous health insurance coverage
Accolades
- Ranked as one of America’s Fastest‑Growing Companies by Financial Times for five consecutive years: 2020‑2024
- Ranked as one of America’s Fastest‑Growing Private Companies by Inc. 5000 for seven consecutive years: 2018‑2024
- Voted #1 by over 300 retailers worldwide in the RIS Software LeaderBoard 2024 report
- Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies such as 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 assortment, merchandising, forecasting, algorithmic retailing and unified price, promotion and markdown optimization applications