Senior Solutions Architect

Storesight is an AI-powered platform purpose-built by CPG executives in collaboration with leading CPG firms to transform how sales and category management teams operate. Backed by a network of 3M+ contributors, we acquire more than 6 million shelf and display images annually from nearly 50,000 locations. If you’re passionate about helping businesses maximize retail performance, revenue, and profit, join us in shaping the future of CPG innovation.

• 5+ years in solutions architecture, solutions consulting, technical account management, or technical program delivery, including direct ownership of complex customer programs.
• Demonstrated experience architecting advanced solutions, meaning designing something that has not been built before rather than configuring an existing offering.
• Technical fluency across data collection, data structures, tagging and transformation workflows, reporting and dashboarding, and integrations or APIs. You should be able to hold a design conversation with engineers and data teams; hands-on coding is not required.
• Experience scoping and quoting custom work, with sound judgment on effort, cost, and margin.
• Proven success in a senior customer-facing role with enterprise accounts, including leading working sessions with both technical and business stakeholders.
• Excellent written and verbal communication. You can explain a technical design to a non-technical buyer and a business requirement to an engineer.
• Ability to manage several concurrent programs against competing deadlines, and to drive work forward through teams that do not report to you.
• Analytical and detail-oriented, with the habit of validating output rather than assuming it is correct.
• Working understanding of the retail and CPG landscape.

• Experience with retail or CPG data such as shelf and display imagery, in-store audits, insight surveys, planogram compliance, or share of shelf analysis.
• Familiarity with applying AI or LLM-based approaches to data extraction, image tagging, or automated quality checks.
• Prior experience with Storesight platform capabilities.
• Experience transitioning delivered programs to a customer success or support team.
• Experience helping productize custom or bespoke services. 

• Lead scoping conversations directly with customers, uncovering what is mission critical to their business, defining the end state they need, and translating it into a program design that covers how data is collected, extracted, and reported.
• Architect advanced, non-standard solutions across our platform, and know the limits of each capability: what can be collected in store, what can be extracted from it (through agent responses, human annotation, or AI), and what can be reported with confidence.
• Build quotes for custom programs, accounting for effort, cost, and margin across data collection, extraction, reporting, and development.
• After each proof of concept, lead a cross-team review of what the program cost to deliver and what it would cost at full scale, then recommend whether to scale it, subsample, reprice, or decline.
• Run the majority of scoping independently, bringing in subject matter experts only when a program falls outside established patterns.
• Document program designs so proven components can be reused, priced consistently, and taught to others.

• Own the data extraction plan for each custom program: decide which data points to capture, which method fits each one (agent responses, human annotation, or AI), the accuracy standard, and turnaround. Hand the Data Enhancement team a ready-to-run spec, and bring in Data & Analytics only for true edge cases.
• Partner with the Data and Analytics team to design BI solutions or other custom deliverables.
• Define the data quality and outlier checks each program needs, and keep Data Enhancement, Data Review, and Data & Analytics aligned on which checks to add, tune, or retire.
• Work with Development on advanced solutions, including AI-based data extraction, and scope what is feasible within the timeline and budget available.
• Partner with Project Management and Platform Operations on fielding and data collection to keep programs on schedule, on budget, and at the required quality level.
• Work alongside Customer Success on Implementation and User Acceptance Testing (UAT) with customers.
• Remain a key internal point of contact for program success during the duration of the contracts.
• Keep multiple concurrent custom programs moving to completion, and surface risks to timeline, cost, or quality early.

• Serve as the senior technical point of contact for enterprise customers across the life of a custom program.
• Review every final deliverable from the customer’s perspective before it ships, and hold the bar on whether it answers the question they actually asked.
• Troubleshoot issues mid-program and recommend design changes grounded in the data.
• Educate customers on platform capabilities and best practices so their programs deliver more value over time.

• Once recurring programs are established to full UAT, train and transition them to Customer Success with the documentation and support needed for a clean handoff.
• Support Sales/Commercial on advanced opportunities with solution design, feasibility assessment, and pricing input during the sales cycle.
• Work with Product Team(s) to identify custom work that should become a productized offering, and contribute the requirements to get it there.
• When Storesight adds a new data source or metric, identify which customer problems it can solve and what it needs to be paired with to become something customers will pay for.
• Coach and help develop junior solutions architects, and turn the judgment behind custom programs into repeatable playbooks and scoping frameworks so the team can deliver them independently.

• You lead the large majority of custom program scoping calls yourself, bringing in specialists only when a program truly requires them.
• Programs are delivered within their quoted scope, cost, and margin.
• Every custom program has a documented cost to deliver, and decisions to scale a proof of concept are based on what it will cost at full scale.
• Established programs become mission critical to enterprise customers, with results that inform leadership decisions and lead to renewal and expansion.
• Established recurring programs are well documented and handed cleanly to Customer Success.
• A growing share of custom work becomes standardized, repeatable offerings that customers can subscribe to.