Marketing Automation & Analytics Manager

Core Ownership

• The full marketing tech stack: HubSpot, Clay, Knock, Smartlead, Influ2, Gong Engage, and whatever we add next.
• Account and contact scoring architecture: company fit, company intent, contact fit, contact intent. Operate the model, and keep it current and update when needed.
• Buying stage progression: track accounts from cold to decision in HubSpot and Salesforce so we always know where an account stands.
• Enrichment at scale: data quality, contact coverage, and firmographic accuracy across the database. You own the enrichment layer.
• Intent signal activation: TechTarget, G2, Clay. When a signal is strong enough, which action is triggered. 
• Scoring and sorting for BDR - clearly designed sorting system and prioritization that is useful to get more engagement and progress the buying cycle
• Dark funnel visibility: identify and activate accounts showing buying behavior before they raise their hand. Build the infrastructure to see what most teams miss.
• Sub-qualified nurture workflows: contacts that aren't ready for BDR outreach go into structured, automated tracks.
• Reporting infrastructure: funnel metrics, pipeline contribution, activity and conversion, channel performance. You build the reports and gather insights. 
• Attribution modeling: help define and maintain how we measure marketing's contribution to pipeline and revenue.

Signal-Based Campaign Automation

• Signal-to-audience automation: when a signal fires, the right contact is in the right LinkedIn, Google, or Meta audience within hours.
• Competitive signal campaigns: competitor intent triggers targeted campaign workflows automatically.
• Past champion re-engagement: track people movement and wire it into both sequences and ad campaigns.
• Multi-thread deal acceleration: when an open opportunity hits a threshold or a target account spikes on site, reps get alerted and ads adjust.
• Surge detection: when multiple signals hit the same account at once (site visits, intent, multiple contacts engaging), fire an alert to the rep in real time.
• 1st-party signal activation: closed-lost and churned data feeds back into re-engagement campaigns.
• Event marketing automation: signal-enriched list building, AI-personalized pre/post event outreach, and sequencing.
• Gifting platform integration: wired into sequences so gifting happens as part of the workflow. 

Account information Infrastructure:

• Past activity and engagement context: surface full account history at the point of engagement automatically. Prior deals, contacts, demo history, Gong summaries.
• Competitive and incumbent intelligence: route tech stack data, G2 reviews, and competitor intent signals into Salesforce and Gong before the first call.
• Gong-to-PMM knowledge pipeline: extract call themes, use cases, objections, and competitor mentions from Gong into a structured knowledge base that feeds PMM and messaging.

Reporting:

• Own the insight layer: each week, synthesize what the signals, pipeline data, and campaign performance are actually telling us and bring a point of view on what to do next.

• 4+ years experience 
• Deep hands-on experience with HubSpot (required). Salesforce familiarity is a strong plus.
• You have built scoring models, not just configured someone else's.
• Experience with intent data platforms: ZoomInfo, TechTarget, G2, or equivalent.
• Proficiency with Clay or similar enrichment tooling.
• You understand sequencing tools and have built or managed outbound cadences.
• Comfort with basic data work: SQL is a plus, but you need to be able to manipulate data and build reports without waiting on an analyst.
• You have worked closely with BDR and sales teams and understand what they actually need from the marketing systems. 
• You think in workflows, not one-off tasks. If you built something once, you documented it.