Temporal Technologies - Director, Marketing Operations

• 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 demand-generating campaigns. • Direct and manage the agency resource for campaign execution work where needed — with an explicit goal of replacing agency hours with automation as AI-native tooling matures. • Team, vendor, and org design • Manage 1 direct report (Marketing Operations) and the marketing operations agency relationship (currently a fractional FTE), including scoping, budget, and prioritization of agency hours against internal capacity. • Design and build the case for future team structure expansion: assess where additional headcount, specialized roles, or embedded ops support would unlock the most leverage as the function grows. • Build the case for and implement AI-driven automation that reduces reliance on manual agency hours over time.