Forward Deployed Engineer (Remote - Contractor in LATAM)

Zeo Consulting; Buenos Aires; Remote; ARS 139,364,000 - 232,274,000; Full time

Job summary

Zeo Consulting is seeking a hands-on Process Engineer to design operating models and drive AI-enabled workflow improvements for a US-based advertising client.

The role focuses on mapping current-state processes, redesigning for leaner operations, building prototypes, and ensuring adoption through change management. Applicants should have 5–10 years in management consulting or equivalent, strong English, and experience with enterprise and marketing tech ecosystems.

Qualifications

• 5–10 years in management consulting or equivalent roles at enterprise tech, SaaS, or professional services.
• 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.
• C1 advanced English oral level.

Responsibilities

• Map current-state workflows end-to-end and diagnose root causes of operational friction.
• Redesign processes for target-state operations with clearer decision rights.
• Design operating models including org structure, governance, and cross-functional interaction.
• Establish performance baselines and a measurement framework.
• Identify value gaps in stalled implementations and restore ROI paths.
• Build reporting cadences linking initiative to impact, AI, and solution building.
• Build working AI-powered prototypes and demonstrate in client processes.
• Evaluate where AI changes workflows and where it is a distraction.

Skills

Management consulting

Operating model transformation

Organizational design

Change management

Technology enablement

Process engineering

Go-to-market execution

Advanced English (C1)

AI-powered workflows

Prototype / POC development

Tools

Adobe AEM

Adobe Workfront

GenStudio

Firefly

Adobe Analytics

Marketo

Job 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
• 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

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.

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

Experience

• 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

AI and Builder Capability

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

Platform and Martech Fluency

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

Detalles

The company that hires, provide staff augmentation, dedicated agile teams, project outsourcing, and AI engineering services by embedding Latin American tech, finance, and creative professionals directly into US and global company teams.

The project belongs to an advertising firm in the US.