Client Success Lead

SymphonyAI•Palo Alto, CA

4d•Remote

About The Position

SymphonyAI Retail, Inc. seeks a Client Success Lead in Palo Alto, CA. This role involves serving as the technical owner for the design, configuration, and ongoing optimization of complex retail space planning and assortment management systems for enterprise Retail and CPG clients. The position requires analyzing client business requirements, translating them into scalable system architectures, and leading technical solution planning. Responsibilities include monitoring deployed systems, designing end-to-end solutions for assortment planning and space optimization, acting as a technical subject matter expert for planogram systems, and architecting integrations between legacy and AI-driven platforms. The role also involves leading technical problem-solving, defining system runbooks, and collaborating with various internal and external teams to ensure cohesive system design and client success.

Requirements

Bachelor's degree in Data Management, Electronic Engineering, Computer Science or related field
4 years of experience leading large-scale client engagements for Retail and CPG customers
4 years of experience driving end-to-end delivery of Assort & Space product implementations
4 years of experience directing platform migrations of the Apollo and Assort & Space systems, ensuring seamless transition through cross-functional alignment and risk-managed execution
4 years of experience architecting data integration and migration pipelines, enabling reliable, scalable, and cloud-native data flows on Azure
4 years of experience driving data accuracy, performance optimization, and validation across systems, including algorithm migrations and reporting improvements
4 years of experience enabling client success through hands-on training, solution adoption, and continuous optimization, while managing enhancement roadmaps
Authority to work permanently in the U.S.

Nice To Haves

Experience with legacy space management platforms (e.g., Blue Yonder/JDA, Spaceman, Apollo)

Responsibilities

Serve as the technical owner for the design, configuration, and ongoing optimization of complex retail space planning and assortment management systems supporting enterprise Retail and CPG clients.
Analyze client business requirements and translate them into scalable system architectures, data models, and integration workflows across AI driven optimization platforms and third party retail systems.
Lead technical solution planning and system reviews with client and internal stakeholders, ensuring system performance, reliability, security, and alignment with operational objectives.
Monitor deployed system architectures to proactively identify performance risks, data inconsistencies, or integration issues and coordinate remediation efforts across engineering and product teams.
Design and configure end to end system solutions that support assortment planning, space optimization, and planogram generation by integrating business rules, product attributes, and fixture data.
Define and maintain system logic and workflows supporting assortment lifecycle activities, including SKU rationalization, product introductions, range optimization, and discontinuation analysis using structured sales and inventory data.
Architect and optimize space planning and layout systems, including floor space allocation logic, category adjacencies, traffic modeling assumptions, and fixture utilization parameters.
Act as a technical subject matter expert for planogram systems, including product and fixture data modeling, rule-based constraint engines, and automated and AI assisted layout generation processes.
Design and implement planogram compliance and validation frameworks, including store clustering methodologies, exception handling logic, and system driven compliance reporting.
Architect and maintain system integrations between legacy space management platforms (e.g., Blue Yonder/JDA, Spaceman, Apollo) and AI driven optimization engines, ensuring accurate data flow, transformation, and representation at scale.
Lead structured technical problem solving and root cause analysis sessions to address system configuration issues, data quality defects, integration failures, and workflow bottlenecks.
Define, document, and maintain system runbooks, architectural diagrams, data flow documentation, and operational playbooks to enable consistent and scalable system deployment.
Partner closely with engineering and product teams to define system enhancements, architectural improvements, and integration requirements, contributing directly to technical roadmap planning.
Collaborate with Engineering, Product, Data Science, and Sales teams to ensure cohesive system design, handoff, and lifecycle management from pre sale technical scoping through deployment and optimization.
Coordinate with external system integrators, data providers, and retail technology vendors to resolve system dependencies, integration constraints, and architectural alignment issues.
Represent system and client operational requirements in product planning forums, sprint reviews, and architecture discussions to ensure enterprise grade solution delivery.
Support solution design and technical validation efforts for new business by contributing system architecture models, integration designs, and technical inputs for proposals and demos.