Engagement Manager - Retail
Listed on 2026-02-16
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IT/Tech
AI Engineer, Data Analyst
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake
, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We have been recognized with:
- 17x Google Cloud Partner of the Year awards in the last 8 years
- 3x AWS AI/ML award wins
- 3x NVIDIA Partner of the Year titles
- 2x Snowflake Partner of the Year awards
- Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job DescriptionWe are looking for an Engagement Manager to lead the delivery of Conversational AI and automation solutions for retail and e-commerce clients. You will manage end-to-end project execution, ensure seamless client communication, and drive measurable impact across customer experience, order management, and retail operations.
Key ResponsibilitiesClient Management
- Manage communication and relationships with retail/e-commerce clients.
- Align internal teams with retail priorities, seasonal demands, and CX roadmaps.
- Present strategic insights and best practices for retail digital transformation.
Project Delivery
- Lead the complete SDLC—solutioning, engineering, testing, deployment, and maintenance.
- Manage multiple work streams and ensure timely delivery of milestones.
- Support teams in solving technical issues and improving bot accuracy/performance.
- Conduct reviews for solution quality, integrations, and compliance.
Team Management
- Identify new retail opportunities and help refine solution strategies.
- Resolve technical blockers related to retail systems (POS, OMS, CRM, loyalty).
- Mentor team members and support skill development.
- Travel to client sites or retail events when required.
- Excellent communication, presentation, and analytical abilities.
- Strong experience managing teams in a fast-paced environment.
- Strong business analysis skills with understanding of retail KPIs (AOV, NPS, CSAT, etc.).
- Ability to operate independently and manage client expectations.
- Experience with AI bot platforms (Dialogflow, Lex, Rasa, Azure, etc.).
- Understanding of NLP, conversational design, and continuous learning.
- Knowledge of retail voice automation (IVR, voice shopping).
- Exposure to solution scoping, proposals, and pre-sales activities.
- Interest in emerging retail tech: ML, GenAI, predictive analytics, cloud.
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
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