[Hiring] Forward Deployed Engineer @Zeo Consulting

Role Description

• Process Engineering and Operating Model Design
  • Map current-state workflows end-to-end and diagnose root causes of operational friction—handoff failures, governance gaps, tooling mismatches, incentive misalignment.
  • Redesign processes for target-state operations: leaner workflows, clearer decision rights, human-agent collaboration where AI accelerates throughput.
  • Design operating models: org structure, roles, governance, cross-functional interaction models, Measurement and Value Realization.
  • Establish performance baselines before engagements begin; build the measurement framework that tracks improvement over the engagement, not just at the end.
  • Identify value gaps in stalled implementations: diagnose where technology deployment has outpaced business adoption and restored the path to ROI.
  • Build reporting cadences that give clients a clear line from initiative to impact, AI, and Solution Building.
  • This is a hard requirement, not a differentiator. We are not looking for someone who understands AI conceptually. We are looking for someone who builds with it.
  • Build working AI-powered prototypes directly: LLM APIs, platform-native features, no-code and low-code environments; you have shipped something functional.
  • Use prototypes as the primary tool for stakeholder alignment — a working demo inside the client's actual process is more effective than a roadmap.
  • Evaluate where AI changes a workflow and where it is a distraction; advise clients accordingly without overselling.
• Technology Enablement and Rollout
  • Support rollout of new tools and workflows; ensure adoption is grounded in process design and change management, not just deployment.
  • Design enablement materials that make new technology stick.
  • Ensure technology implementations connect to the operating model they are designed to support.
• Engagement and Practice Contribution
  • Support complex engagement scoping where client needs are ambiguous or span multiple services.
  • Conduct diagnostic assessments: value capture, implementation readiness, adoption strategy.
  • Contribute reusable frameworks and tools that improve how the practice qualifies and scopes work.

Qualifications

• 5-10 years in management consulting or equivalent roles at enterprise technology, SaaS, or professional services.
• Demonstrated experience in at least two of: organizational design, operating model transformation, change management, technology enablement, process engineering, or go-to-market execution.
• Track record of building structured, evidence-based arguments for senior stakeholders.
• Experience in organizational assessments, process redesigns, or large-scale technology rollouts is a strong differentiator.
• C1 advanced English oral level.

Requirements

• Hands-on experience building AI-powered workflows, automations, or prototypes — you have shipped something functional, not just designed it.
• Ability to scope and build a working proof of concept within the constraints of a client engagement — fast, focused, and designed to move a skeptical stakeholder.
• Comfort working without a dedicated engineering team; you know when to build it yourself and when to pull in help.
• Working knowledge of the enterprise marketing technology landscape and where adoption typically breaks down organizationally.
• Familiarity with the Adobe ecosystem — AEM, Workfront, GenStudio, Firefly, Adobe Analytics, Marketo — is a strong differentiator.

Mindset

• Diagnostician first: resist jumping to solutions before you understand exactly what is broken and why.
• Accountable to outcomes, not deliverables — a good deck that does not change anything is a failure.
• Biased toward early proof: You would rather build a working prototype than produce a roadmap that sits in a shared drive.
• Most useful close to the work, inside the client team.

Benefits

• Salary in USD.
• PTO: 10 days.
• Full Remote.

Company Description

• Mínimo de educación: Universitario (Graduado).