Enterprise Workflow Architect
Quick Summary
About PackageX PackageX is building the Physical Logistics Execution Platform for enterprise teams operating across manufacturing sites, distribution centers, warehouses, retail locations,
PackageX is building the Physical Logistics Execution Platform for enterprise teams operating across manufacturing sites, distribution centers, warehouses, retail locations, and logistics-heavy environments.
Our platform uses Vision AI, workflow automation, mobile execution, and integrations to help companies digitize, execute, and verify physical operations at the point of work, creating trusted evidence of what happened across their operations.
Our operating model is simple: Execution. Verification. Evidence.
PackageX is looking for an Enterprise Workflow Architect to work directly with customers, prospects, sales, product, engineering, AI, and implementation teams to understand complex physical operations, design PackageX workflows, and implement solutions that work in real-world environments.
This role is similar to a Forward Deployed Engineer (FDE), but focused on enterprise workflow design, solution configuration, customer operations, technical implementation, and go-live success. From pre-sales solution design through pilot, implementation, testing, rollout, and go-live, you'll serve as a technical point of contact, translating customer requirements into validated, production-ready solutions.
Working across manufacturing sites, distribution centers, warehouses, retail locations, and other logistics-heavy environments, you'll map workflows, configure the PackageX platform, support pilots, troubleshoot issues, and help customers go live successfully.
This is a customer-facing, technical, and hands-on role. The right person can move seamlessly from a warehouse floor conversation to a VP of Operations meeting, configure workflows in the platform, and partner with Product and Engineering to close technical gaps. This is more than a pre-sales or solution design role. You'll build solutions and make them happen.
Reports to: Chief Technology & AI Officer.
Location: This is a U.S. based role, with remote or hybrid flexibility depending on candidate location and company needs.
Travel: Regular customer-site travel required for discovery, workflow mapping, operational walkthroughs, pilots, implementation, and go-live.
What We Offer
~1 min readTarget base salary: $150,000–$175,000, depending on experience, qualifications, and location.
Performance-based bonus tied to workflow quality, pilot execution, implementation success, time-to-go-live, customer technical satisfaction, and successful production rollouts.
Expected total compensation: $165,000–$200,000 OTE, based on achievement of performance objectives.
The compensation package also includes a meaningful equity grant aligned with the company’s stage and the scope of the role.
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Customer workflow discovery and process mapping.
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Pre-sales solution design and technical workflow support.
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Current-state and future-state workflow design.
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PackageX workflow configuration and hands-on implementation.
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Pilot setup, testing, validation, and rollout support.
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Customer technical ownership through solution design, implementation, and go-live.
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Translation of customer requirements into working platform solutions.
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Workflow documentation, configuration logic, QA, and implementation readiness.
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Internal solution handoffs to product, engineering, AI, and implementation teams.
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Identification of reusable workflow patterns.
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Support for strategic demos, pilots, readouts, and enterprise rollouts.
Responsibilities
~1 min read- →
Join customer and prospect conversations during pre-sales to understand real operational workflows.
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Travel to customer sites for discovery, workflow mapping, operational walkthroughs, pilot support, readouts, and go-live activities.
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Map current-state and future-state processes.
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Translate customer workflows into PackageX platform configurations.
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Configure workflows, rules, forms, logic, automations, and solution components.
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Support discovery, solution design, demos, pilots, and technical validation.
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Help implement pilots and customer rollouts from design through go-live.
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Serve as a technical point of contact for customers during solution design, implementation, testing, and go-live.
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Test workflows and troubleshoot configuration, workflow, data, integration, and operational issues.
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Partner with Product, Engineering, AI, and Implementation teams to improve execution and identify reusable platform patterns.
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Document workflow requirements, assumptions, dependencies, configuration logic, and implementation decisions.
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Identify opportunities to configure, automate, productize, escalate, or manually solve customer needs.
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Support strategic accounts requiring deeper workflow design and hands-on solution building.
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Help build repeatable workflow playbooks by industry and use case.
The Enterprise Workflow Architect is responsible for designing, configuring, and helping implement the customer solution from pre-sales solution design through go-live.
The Implementation Leader is responsible for managing the overall implementation, including customer cadence, timelines, risks, adoption, value realization, and stakeholder alignment.
These two roles work closely together: one ensures the solution is built correctly, and the other ensures the customer implementation runs successfully.
Within the first 90 days:
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Strategic customer workflows are documented clearly before implementation.
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Customer workflows are configured, tested, and ready for deployment within the PackageX platform.
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Pilots and rollouts move faster because workflow design and implementation gaps are identified early.
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Time-to-go-live is tracked and improved for assigned implementations.
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Customers have a clear technical point of contact from solution design through go-live.
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Sales, Implementation, Product, and Engineering teams have cleaner handoffs and better-defined workflow requirements.
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Reusable workflow patterns are identified across customers to improve future implementations.
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Strategic discovery, demos, pilots, readouts, and rollouts are better supported.
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Customer workflow knowledge becomes more structured, repeatable, and actionable.
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5–8 years in solutions architecture, enterprise implementation, workflow design, technical consulting, field deployment, product consulting, business systems consulting, or hands-on solution engineering.
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Experience working directly with enterprise customers.
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Experience configuring or implementing enterprise software platforms from solution design through go-live.
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Strong understanding of operational workflows, systems, data flows, integrations, and implementation dependencies.
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Comfortable with APIs, integrations, enterprise systems, configuration logic, workflow automation, and technical documentation.
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Able to translate customer operations into scalable workflow and system designs.
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Strong communication skills with both business and technical stakeholders.
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Comfortable working on customer sites and creating structure in fast-moving, ambiguous environments.
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Strong curiosity about logistics, supply chain, manufacturing, warehousing, retail, and physical operations.
Nice to Have
~1 min read-
Experience with logistics, supply chain, manufacturing, warehouse operations, 3PL, distribution, retail operations, or field operations.
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Experience with WMS, TMS, ERP, NetSuite, AS400, SAP, Oracle, Manhattan, Blue Yonder, or similar systems.
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Experience with AI, computer vision, workflow automation, robotics, IoT, or physical operations technology.
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Experience in field deployment, solution engineering, technical implementation, or hands-on platform configuration roles.
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Experience supporting enterprise pilots, demos, implementations, readouts, and rollouts while turning customer requirements into repeatable product or workflow patterns.
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Customer-facing with a hands-on, builder mentality.
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Technical, structured, and operational.
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Strong workflow and systems thinker.
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Able to simplify, configure, and test complex workflows.
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Comfortable being in the field with customers and in ambiguous environments.
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Strong documentation discipline and a habit of asking thoughtful, clarifying questions.
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Able to work across sales, product, engineering, AI, and implementation.
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Understands the difference between customer requests, workflow needs, product gaps, configuration details, and implementation risks.
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Low ego, high ownership, proactive, and detail-oriented.
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Strong bias toward getting customers live.
Location & Eligibility
Listing Details
- Posted
- July 8, 2026
- First seen
- July 8, 2026
- Last seen
- August 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- July 8, 2026
Signal breakdown
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