Open roles.

GTM Leader — Supply Chain Technology

Location

US — Remote / Hybrid · 25–40% travel

For someone who has done it before — built a pipeline from scratch, sold complex multi-year engagements to CSCOs and CIOs, and navigated the intersection of supply chain technology and consulting.

What We're Looking For

• —Track record selling Anaplan, Kinaxis, o9, Blue Yonder, Coupa, Manhattan, or similar platforms
• —Or, equivalent experience from a consulting practice that sells and delivers these platforms
• —Industries: Manufacturing, CPG, Pharma, Medtech

Supply Chain Project / Program Manager

Location

US — Hybrid · 20–40% travel (project dependent)

A high-impact Program Manager to lead end-to-end supply chain transformation across planning, operations, and technology workstreams — the critical link between business stakeholders, IT, and delivery partners, driving complex programs from blueprint through go-live and value realization.

What We're Looking For

• —7–12 years in supply chain operations, transformation, or SC technology implementation, including 3–5+ years in a formal program/project role owning delivery accountability
• —Led at least one full-lifecycle SC technology implementation — SAP IBP, Kinaxis, Blue Yonder, o9, Manhattan, or SAP EWM — from business case through go-live and stabilization
• —Background in SC planning transformation (S&OP/IBP, demand/supply planning), ERP implementation (S/4HANA), WMS/TMS, or procurement technology (Coupa, Ariba, Ivalua)
• —Strong program governance — steerco reporting, RAID logs, risk management, and stakeholder communication up to VP/CSCO/CIO level
• —PMP, PgMP, or Prince2 preferred; APICS CSCP, CPIM, or CLTD is a meaningful differentiator
• —Industry background in manufacturing, CPG, pharma, retail, 3PL, or industrial sectors preferred; consulting backgrounds (Big 4, strategy, boutique SC) welcome

Enterprise Scheduling Specialist

Location

US — Hybrid / National · ~20% travel

A precision role for a hands-on Enterprise Scheduling specialist — Kinaxis Enterprise Scheduling (Maestro™), PlanetTogether, SAP PP/DS, or AspenTech. Finite capacity scheduling from the shop floor up: constraint models, changeover logic, and the gap between a planned schedule and what actually executes. A rare, highly sought-after passive-talent search.

What We're Looking For

• —Hands-on configuration and go-live ownership of at least one enterprise scheduling platform — Kinaxis Enterprise Scheduling (Maestro™), PlanetTogether, SAP PP/DS, or AspenTech
• —Deep understanding of finite capacity scheduling — constraint models, work centre calendars, changeover logic, and the MPS/MRP-to-scheduling integration
• —Experience spans Consultant (3–6 yrs, 1–2 implementations) through Manager (10–15 yrs, led a scheduling practice or team)
• —Experience integrating scheduling platforms with ERP back-ends (SAP S/4HANA, ECC, Oracle, D365) — master data, production orders, BOMs, routings
• —APICS CPIM or CSCP certification strongly preferred
• —Process manufacturing experience (pharma, chemicals, food & beverage) with campaign scheduling or GMP compliance is a plus

Senior QA Automation Engineer

Location

Remote (Chicago on conversion to full-time)

Duration

6 months · potential to convert

A heavy-hitting Senior QA Automation Engineer to lead API testing, modern automation frameworks, and AI/ML test integration for a premier client — someone who thrives at the intersection of robust automation architecture and cutting-edge tool stacks.

What We're Looking For

• —10+ years in QA / 7+ years in Test Automation, with proven senior leadership experience
• —Deep expertise in Playwright and TypeScript (or JavaScript, Java, Python, C#)
• —Strong AWS cloud-native architecture experience, including complex API migrations (e.g., MuleSoft to AWS)
• —Hands-on integration of AI/ML tools into testing frameworks — GitHub Copilot, MCP Agents, LLMs
• —CI/CD pipelines via Git and Jenkins, GitLab CI, or Azure DevOps

Databricks Specialist

Location

Remote · Azure Databricks, hybrid onshore/offshore delivery

An expert Databricks Engineer or consulting partner for an immediate-start data privacy initiative — anonymizing and sanitizing test bank data, and standing up an isolated, synthetic-data test environment using Databricks AI.

What We're Looking For

• —PII anonymization — completely scrub and sanitize test bank data
• —Build an isolated test environment using synthetic / scrubbed data
• —Leverage Databricks AI for automated sanitization
• —Operate in Azure Databricks with awareness of an upcoming AWS migration
• —Proven track record with Databricks and data masking / privacy use cases
• —Experience working in secure, access-restricted environments
• —Ability to support a hybrid delivery model (onshore/offshore) preferred