Director, Marketing Operations

# Director, Marketing Operations Temporal Technologies United States (Remote) Full-time

Full-time

Remote

Digital Marketing---## About this role
** Experience level:
** Experienced |
** Work mode:
** Remote |
*
* Location:

** United States (Remote)
** About the Role
** The Director of Marketing Operations at Temporal will build and run the systems, processes, and insights layer that turns marketing activity into developer adoption, pipeline, and revenue. This role owns Temporal's marketing operations function end to end: attribution and funnel measurement, lead scoring and routing, the Mar Tech stack (AI-native marketing automation, Salesforce, enrichment and intent tools), and campaign execution capacity.

This role also serves as a key operational partner to the BDR function, supporting pipeline generation processes, tooling, and reporting.

Reporting to the VP of GTM Operations, you will be a core member of the GTM Operations team, lead a growing team plus an external agency operating as a fractional FTE, and partner closely with Marketing leadership, Data & Analytics, and Sales leadership.

The ideal candidate has run marketing operations inside a high-growth B2B SaaS company, has hands-on experience implementing AI-native systems and agentic workflows — not just using AI tools day to day — and knows how to build durable, automated systems while still being hands-on enough to unblock a broken form or a stuck sync. You'll manage people and an agency relationship, so this role requires both technical depth and the judgment to know what to build, what to automate, and what to hand off.

** What You'll Do
**** Insights: establish a trusted framework for marketing impact
*** Lead the cross-functional pipeline council as a core, ongoing responsibility: surface shortfalls against plan, run and measure experiments, and force prioritization conversations with GTM leaders.
* Implement and govern an attribution model that accurately credits marketing channels and campaigns for developer adoption, pipeline generation (workload and new business), and revenue.
* Extend attribution to open-source signals specifically: tie OSS engagement (self-hosted usage activity, developer adoption) back to accounts and pipeline, alongside paid, owned, and event channels.
* Define and maintain the canonical funnel definitions from awareness through pipeline generation (e.g. S1 New Business Opportunity), coordinating with GTM Analytics on datasets and dashboards.
* Use AI-driven analytics and signal processing to surface insights faster and reduce dependence on manual reporting.
** Process: maximize conversion from signal to pipeline
*** Own the processes that drive pipeline: scoring models, automated routing logic, and SLA standards from first touch through pipeline conversion — including BDR-specific workflows and handoff processes.
* Serve as the operational backbone for the BDR function: support tooling, sequencing, lead flow, and performance reporting to help the BDR team run efficiently and hit pipeline targets.
* Establish feedback loops across the pipeline generation process, including rejected lead handling, automated alerts for missed SLAs, and stakeholder feedback.
* Identify, scope, and implement agentic workflows that augment or replace manual work across the pipeline generation process — this is a core responsibility, not a stretch goal.
** Systems: build a marketing systems layer that's reliable and AI-native
*** Architect and govern the core marketing technology stack around the CRM, with a strong bias toward AI-native platforms that enable automation at scale over legacy rule-based tools.
* Lead a successful migration off of Marketo and onto an AI-native marketing automation platform (e.g. Conversion, Inflection), including evaluation, scoping, and execution.
* Develop proactive system monitoring and error-handling: automated alerts for sync failures, webhook errors, or data anomalies, so issues get fixed before they hit end users.
* Manage compliance, security, and data hygiene: user-role permissions, automated data cleansing, and privacy standards (GDPR, CCPA, CASL) across all systems.
** Campaigns: unlock scale and automation in how campaigns get done
*** Build and maintain AI-powered automations, form strategy, audience segments, and lead lifecycle stages that let marketing run campaigns at scale with less manual overhead.
* Own campaign structure and tagging consistency to support downstream analytics, keeping operational tracking separate from…