Embedded AI-Driven Marketing Operations Engineer

Block-Tackle; Atlanta (GA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid collaboration

Job summary

Block+Tackle is seeking a seasoned Marketing Operations professional who sits at the intersection of business needs and actionable processes, with a focus on AI-enabled transformation. You will embed with Fortune 1000 marketing teams, diagnose friction points, and architect practical AI augmentations across planning, workflow, decisioning, and execution.

You’ll own process redesign, governance, and hands-on delivery inside client environments, working within Salesforce Marketing Cloud, Adobe

Qualifications

• 8+ years in Marketing Operations, with significant experience inside enterprise (Fortune 1000) organizations or in-house enterprise marketing teams
• 5+ years in a client-facing or embedded delivery role — consulting, technical implementation, applied AI/ops work, or in-house enterprise marketing — with a track record of owning outcomes, not just recommendations
• Hands‑on experience leading process and marketing operations transformation — not just recommending change, but redesigning how a function actually works
• Practical experience figuring out where AI fits into the marketing operations flow — you know where it changes planning, workflow, decisioning, or execution, not just where it can generate content
• Comfortable tuning and optimizing an existing environment rather than replacing it — you see what's underused, misused, or quietly working around what's already there
• A diagnostic mindset — you instinctively look past the tool to the process and the people around it, and you can tell a technology problem from a workflow problem from an adoption problem
• Comfortable challenging entrenched process without alienating the people who built it — you evolve the system, you don't torch it
• Working familiarity with common enterprise marketing platforms (Salesforce Marketing Cloud, Adobe Experience, HubSpot Enterprise, Braze, Segment/mParticle, GA4/Amplitude, and similar)
• Executive presence — you can run a discovery workshop, defend a recommendation under pressure, and deliver hard news to a client with clarity and warmth
• Based in the Atlanta metro area, available for hybrid collaboration and occasional client travel
• Grit and love swimming in ambiguity

Responsibilities

• Marketing operations diagnosis — mapping how the function actually works across planning, execution, and measurement: the workflow, the handoffs, the decision points, and the habits, so you find where the real friction lives before recommending anything
• AI-augmentation, designed and built — identifying where AI can meaningfully improve a marketing operations process, then building it into place yourself — workflow, decisioning, prioritization, and output, not just where to bolt on generative content
• Marketing operations transformation — redesigning process, roles, and workflow so they work the way the business actually needs them to, tuning and evolving what's already there rather than replacing it
• Embedded delivery — you're the one inside the client's environment day to day, in their tools and their team meetings, iterating in tight loops based on what's actually happening rather than working from a discovery-phase report
• Advisory to marketing and IT leadership — guiding stakeholders on AI readiness, governance, and responsible adoption inside marketing operations
• The translation layer — turning ambiguous business problems into clear process and operational recommendations, and turning AI possibility into plain-language guidance marketing and IT can both act on
• The practice itself — building reusable frameworks and documentation that make every MarOps + AI engagement sharper than the last
• The edge — staying genuinely ahead of how AI is actually changing marketing operations, and pressure-testing what's real versus hype before it reaches a client
• Agility — harnessing the ability to hop in at the most mundane and the most strategic. You are not above any job needed to achieve the mission objective.

Skills

Marketing Operations

Client-facing

AI in marketing

Process transformation

Diagnostic mindset

Executive presence

Atlanta presence

Tools

Salesforce Marketing Cloud

Adobe Experience Cloud

HubSpot Enterprise

Braze

Segment/mParticle

GA4/Amplitude

Job description

If you've spent your career sitting between marketing and IT — translating what the business needs into what the process and systems can actually deliver — and you're already thinking about how AI changes that relationship, this seat was built for you.

Block+Tackle is where Marketing Operations gets reinvented, not just run. We're not just about evaluating platforms or leading implementations — our clients' environments already exist, tools and all. What we need is someone who can walk into how marketing actually operates day to day — the process, the workflow, the handoffs, the habits nobody's questioned in years — and figure out where and how AI can genuinely change the way that work gets done.

This isn't a stack story. It's a process story. The tool is rarely the real problem — it's the process wrapped around it, or the workaround a team quietly built because nobody trusted what was already there. We tune what exists instead of ripping it out, and we use AI to evolve it into something meaningfully better.

You'll work embedded inside enterprise clients' actual environment — not advising from across the table, but sitting inside their workflow, their tools, and their teams: tuning marketing operations to work the way the business actually needs, and building how AI fits into that flow — planning, workflow, decisioning, execution, measurement, all of it. If you can see where AI genuinely changes how marketing operations should function, and you're the kind of person who builds that change into place rather than just recommending it — we want to talk.

What You'll Own

Marketing operations diagnosis — mapping how the function actually works across planning, execution, and measurement: the workflow, the handoffs, the decision points, and the habits, so you find where the real friction lives before recommending anything

AI-augmentation, designed and built — identifying where AI can meaningfully improve a marketing operations process, then building it into place yourself — workflow, decisioning, prioritization, and output, not just where to bolt on generative content

Marketing operations transformation — redesigning process, roles, and workflow so they work the way the business actually needs them to, tuning and evolving what's already there rather than replacing it

Embedded delivery — you're the one inside the client's environment day to day, in their tools and their team meetings, iterating in tight loops based on what's actually happening rather than working from a discovery-phase report; Engagement Leads and Solutions Architects back you up, but you're driving

Advisory to marketing and IT leadership — guiding stakeholders on AI readiness, governance, and responsible adoption inside marketing operations

The translation layer — turning ambiguous business problems into clear process and operational recommendations, and turning AI possibility into plain-language guidance marketing and IT can both act on

The practice itself — building reusable frameworks and documentation that make every MarOps + AI engagement sharper than the last

The edge — staying genuinely ahead of how AI is actually changing marketing operations, and pressure-testing what's real versus hype before it reaches a client

Agility — harnessing the ability to hop in at the most mundane and the most strategic. You are not above any job needed to achieve the mission objective.

What You Bring

8+ years in Marketing Operations, with significant experience inside enterprise (Fortune 1000) organizations or in-house enterprise marketing teams

5+ years in a client-facing or embedded delivery role — consulting, technical implementation, applied AI/ops work, or in-house enterprise marketing — with a track record of owning outcomes, not just recommendations

Hands-on experience leading process and marketing operations transformation — not just recommending change, but redesigning how a function actually works

Practical experience figuring out where AI fits into the marketing operations flow — you know where it changes planning, workflow, decisioning, or execution, not just where it can generate content

Comfortable tuning and optimizing an existing environment rather than replacing it — you see what's underused, misused, or quietly working around what's already there

A diagnostic mindset — you instinctively look past the tool to the process and the people around it, and you can tell a technology problem from a workflow problem from an adoption problem

Comfortable challenging entrenched process without alienating the people who built it — you evolve the system, you don't torch it

Working familiarity with common enterprise marketing platforms (Salesforce Marketing Cloud, Adobe Experience, HubSpot Enterprise, Braze, Segment/mParticle, GA4/Amplitude, and similar) — enough to know how they're actually being used, not to evaluate or select them

Executive presence — you can run a discovery workshop, defend a recommendation under pressure, and deliver hard news to a client with clarity and warmth — and just as comfortable heads-down inside their actual tools and workflows building the fix yourself

Based in the Atlanta metro area, available for hybrid collaboration and occasional client travel

Grit and love swimming in ambiguity

Nice to Have, but Not Required

Experience leading Marketing Operations transformation programs or AI adoption initiatives

Certifications in major martech platforms (Salesforce, Adobe, HubSpot) or cloud platforms (AWS, Azure, GCP, N8N) or similar

Time in a boutique consulting environment where you've worn multiple hats — sales support, delivery, and practice development

Familiarity with time-and-materials engagement models and utilization-based delivery

Block+Tackle is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.