Sr Solutions Advisor; Multi-Tier​/Multi-Enterprise Networks

Location: Remote US

Synonymous Business Title (s):
Solutions Advisor Int

Travel: up to 40% travel required

We are seeking a Sr Solutions Advisor to join our Supply Chain Advisory team, helping customers design and adopt end‑to‑end supply chain visibility, collaboration, and orchestration across multi‑tier, multi‑enterprise networks. In this role, you will lead discovery, conceive and deliver demonstrations, and shape control tower and command‑center solutions that connect planning signals with network‑level visibility, partner collaboration, and downstream execution systems, including logistics, transportation, and warehouse platforms as integration points.

You will help customers move beyond dashboards and fragmented views to coordinated, cross‑enterprise decision‑making, faster disruption response, and measurable operational outcomes. This is a hands‑on, customer‑facing presales role for someone who enjoys turning complex, cross‑enterprise supply chain challenges into clear solution narratives, compelling demos, and practical paths to adoption.

This role focuses on presales support for multi‑enterprise supply chain visibility and collaboration, helping manufacturing customers orchestrate decisions and execution across multi‑tier partner networks. We are not seeking candidates with WMS or TMS backgrounds.

• Act as a trusted solution advisor helping customers design and adopt end‑to‑end visibility and orchestration across planning, execution, logistics, and partner networks.
• Lead customer discovery and end‑to‑end process mapping, connecting planning systems with TMS, WMS, and partner workflows to identify silos, decision gaps, and opportunities for orchestration.
• Conceive, build, and deliver executive‑ready demonstrations and Proofs of Concept that show how disruptions are detected, prioritized, and resolved through coordinated workflows rather than manual escalation.
• Design and present control tower and command‑center narratives that provide full lifecycle order‑to‑fulfillment visibility, from planning signals through transportation and warehouse execution.
• Clearly articulate the value of network participation and digital collaboration, helping customers understand how shared data, workflows, and commitments improve resilience, agility, and performance.
• Position AI‑assisted insights such as anomaly detection, prioritization, and root‑cause analysis in a practical, explainable way that accelerates decisions while maintaining governance and human accountability.
• Partner closely with sales teams to qualify opportunities, shape solution scope, and align expectations around outcomes, time‑to‑value, and adoption.
• Support continuity into delivery by documenting solution intent, workflow assumptions, and adoption considerations to ensure what is sold can be implemented and embraced.

• Bachelor's degree in Supply Chain, Business, Engineering, or a related field.
• 7 to 8 years of customer‑facing presales experience (Solutions Advisor / Solutions Consultant / Sales Engineer) supporting enterprise or multi‑enterprise supply chain platforms.
• Solid understanding of end‑to‑end supply chain visibility and collaboration across multi‑tier networks, including manufacturing, supplier, partner, and logistics ecosystems. Experience in logistics visibility is valued but not required.
• Must have hands‑on experience designing and delivering demonstrations (demos, pilots/POCs, discovery) for complex supply‑chain solutions, including visibility, control tower, or command‑center use cases.
• Proven ability to map interconnected, cross‑enterprise workflows that link planning signals, network visibility, partner collaboration, and downstream execution systems (e.g., TMS/WMS as integration points). This role focuses on network‑level visibility and orchestration, not hands‑on WMS or TMS execution.
• Ability to clearly explain how planning connects to execution systems to break silos, improve coordination, and drive measurable ROI.
• Experience positioning control tower and orchestration concepts beyond dashboards, focused on decisions, workflows, and outcomes.
• Practical understanding of AI‑assisted…