Deployment Strategist positions focus on delivering results in their domain. This page aggregates open Deployment Strategist roles and what employers typically expect.
**About Glimpse** Glimpse is the leading AI platform for CPG brands — automating critical back-office workflows like deductions management, revenue recovery, and cash application. Since launching in April 2024, we've grown from 0 to 200+ customers, raised $52M from investors including a16z, 8VC and Y Combinator. Our AI agents retrieve deduction data, validate charges, automate cash application, and dispute invalid claims — work that would take a full-time employee years to complete. For a $1B CPG brand, a single Glimpse agent reviewed 17,000 deductions in under 24 hours, identifying over $10M in recoverable revenue. We're building the next-generation suite of services for consumer brands and are looking for exceptional people to help us scale. **About the Role** We’re hiring a Deployment Strategist to lead our most complex enterprise customers through the stages of **problem discovery, solution scoping, successful deployment, and measurable value.** You’ll be tasked with deeply understanding CPG and retail systems within our enterprise customers, translating messy real-world workflows into clear technical requirements, and working with engineering to deliver end-to-end Glimpse’s AI solutions to customers - keeping external and internal teams aligned. If you’re someone that wants a hand in the entire lifecycle of our biggest customers, this position is for you. This role requires a blend of technical acumen, customer empathy, systems thinking, and project management. **What You'll Do** - **Lead sales discovery and technical demos with enterprise customers** to understand pain points, current workflows, constraints, and success criteria. - **Scope and structure pilots** by translating customer pain points and orchestrating Glimpse product capabilities to prove quick value for customers. - **Outline requirements for new agents and integrations** in partnership with the customer and our engineering team and help roll them out to customers - **Align executive and user stakeholders on scope** (what we’re doing, what we’re not doing, timelines, resourcing, risks, dependencies). - **Run cross-functional implementations**: coordinate engineering, product, ops, and customer teams to deliver the end outcome. - **Own deployment into production**: configuration, testing, rollout planning, and post-launch iteration. - **Communicate results and value** to both operational users and executive sponsors - progress updates, impact reporting, and next-step recommendations. - **Partner closely with Sales and Product** to share customer insights, influence roadmap, and improve our deployment playbook. ## **Who You Are** **Must-haves** - 3+ years of experience doing customer discovery in ambiguous environments (ex-founder, early-stage product manager, deployment strategist/FDE, solutions/implementation/consulting, solutions engineering, or similar). - Strong technical + systems intuition: you don’t need to be a pure software engineer, but you can reason about integrations, data flows, edge cases, and implementation constraints, as well as collaborate tightly with engineering. - Experience operating inside complex enterprise systems, especially where processes span many tools and teams (CPG/retail exposure is a plus). - Excellent customer-facing communication: comfortable leading working sessions, aligning stakeholders, and explaining scope, risks, and technical concepts to both operators and execs. **Nice-to-haves** - Technical background (computer science, engineering) - Experience with CPG, retail, deductions, trade promotions, chargebacks, EDI, or ERP ecosystems. - Experience shipping customer-facing integrations or implementation tooling - Experience in a solutions engineering or forward deployed engineering organization at an early stage startup ### **Traits that do well here** - High ownership: you don’t just advise - you drive the work to completion. - Systems thinking: you can reason through messy workflows and design something scalable, no…