Senior Manager, Marketing AI and Automation

The Role We're rebuilding how marketing operates and this role owns the technical side of that. You’ll report directly to the CMO and work across the full marketing organization: campaign planning, demand generation, content, field, and measurement. The job is to wire our marketing tools together and build the automation and agent layer on top so teams spend less time on coordination and more time on work that actually moves the business. The stack includes Salesforce, Marketo, 6sense, and others. Some integrations are already live. Much of the agent layer is still to be built. When a new tool gets adopted, you own how it connects, the data model, the integration design, and how AI plugs into it. This role sits at the intersection of MarTech engineering and agentic AI. You need to be strong at both. The integrations are what make the agents actually work. Scope & Impact Own the integration architecture across the marketing stack, when tools get adopted you own how they connect Build the agent and automation layer that sits on top of those integrations, turning connected systems into intelligent, self-running workflows Shape build‑vs‑configure decisions by providing clear architectural input before tools go live Set the technical bar for how marketing systems are built, integrated, and maintained Make the whole team faster, not by adding headcount, but by replacing manual work with systems that actually work Drive measurable impact on pipeline, campaign velocity, and marketing efficiency What You’ll Do MarTech Integration & Architecture Own the integration design and implementation for the core marketing stack — Salesforce, Marketo, HubSpot, 6sense, Demandbase, ZoomInfo, Clearbit, CDPs, and attribution platforms When new tools get adopted, you’re the integration owner, clean connectivity, solid data models, no rework six months later Build API‑first, event‑driven integrations that make the marketing stack behave like one system instead of twelve disconnected ones Define and enforce data models, system boundaries, and integration standards, so lead, account, and campaign data flows reliably across every tool Provide architectural input on tool adoption, assessing integration complexity, data compatibility, and what it will actually take to make a new tool useful Build reusable components and shared services instead of one‑off connectors that create debt Run integration audits, find the fragile parts, and fix them before they break in production Agentic AI & Workflow Automation Design and ship multi‑agent systems that automate the work marketing teams shouldn’t be doing manually, lead routing, campaign execution, content ops, demand generation, reporting Own the full AI deployment lifecycle: identify the use case, design the workflow, build it, test it, ship it, and optimize it based on what actually happens Build agents and copilots that run on top of the MarTech stack, your integrations are the data layer, your agents are what act on it Set the standards for how AI gets used in production: LLM selection, agent orchestration, memory, guardrails, human‑in‑the‑loop design, and evaluation Build a pipeline of high‑impact AI use cases and move them from prototype to production Use agents to make integration QA, data quality monitoring, and workflow optimization faster and less manual Marketing Strategy & Cross‑Functional Collaboration Work directly with leaders across demand gen, content, product marketing, field, web, comms, and brand, understand what they're trying to do, identify where automation creates real leverage Turn marketing business goals into workflow architectures that reduce handoffs, cut manual work, and make teams faster Run fast experiments, prototype, measure, decide, scale or kill Bring clarity and prioritization to a space that will always have more ideas than bandwidth Adoption & Enablement Build systems that marketing teams actually use — not technically elegant solutions that nobody trusts or understands Establish standards for workflow design, quality control, and responsible AI use that teams can follow without a manual Create self‑service capabilities that let marketers build and extend workflows without filing a ticket Translate integration architecture and agent design into plain language that makes sense to stakeholders and executives Build AI fluency across the marketing organization, create champions, not dependents Measurement & Optimization Define what good looks like for every workflow you ship, campaign velocity, funnel conversion, productivity gains, attribution quality, handoff reliability Partner with Marketing Ops to surface where AI is creating real impact and where it's still theoretical Give marketing leadership honest, clear visibility into what the AI layer is actually doing for the business How Success is Measured Marketing teams ship campaigns faster and spend less time on coordination, manual work, and broken handoffs Agent‑driven workflows are in production and being used The marketing stack behaves like one connected system, not a collection of tools that technically exist Pipeline and conversion metrics improve because the workflows underneath them actually work The pace from idea to production gets faster every quarter What You You've shipped AI workflows, copilots, or agent‑based systems in production, not just experimented in notebooks 5+ years in Marketing Engineering, Marketing Operations, or Business Systems, in a high‑growth B2B SaaS environment You've integrated MarTech stacks at the API and data model level, not just clicked through setup wizards Deep hands‑on experience with the actual tools: Salesforce, Marketo or HubSpot, 6sense or Demandbase, ZoomInfo or Clearbit, and attribution platforms You understand LLMs, agent orchestration, memory, guardrails, and evaluation well enough to build production systems, not just demos You understand how marketing actually works: campaigns, demand gen, lead management, content ops, field execution You can move fast without cutting corners that create problems six months later Who You Are You build things. Not decks about things. Not recommendations about things. You're energized by complexity, connecting systems that weren't designed to talk to each other, and making them work reliably You're genuinely excited about agentic AI, not as a buzzword, but as a real shift in what's possible You know when to use AI and when not to, and you're not afraid to say the latter You can explain a data model to a CMO and an agent architecture to a developer — and neither conversation feels like a translation You bring structure to ambiguous spaces without bureaucratizing them You make everyone around you better at building, and you measure success by what the team ships, not just what you ship #J-18808-Ljbffr Cerebras