Marketing Automation & Analytics Manager

We're hiring a Marketing Automation & Analytics Manager to own the infrastructure that turns signals into pipeline. You'll architect our account and contact scoring models, run the full marketing tech stack (HubSpot, Clay, Knock, Smartlead, Influ2, Gong Engage, and beyond), and build the automation that gets the right signal to the right channel — ads, sequences, rep alerts — within hours of it firing.

This is a build-and-own role, not a run-the-playbook one. You'll give sales dark-funnel visibility, feed BDRs a system that actually prioritizes who to chase, and own the reporting layer end to end; not just dashboards, but a weekly point of view on what the data means and what to do next.

You'll work closely with BDR and sales, and your impact shows up directly in the pipeline: better-scored accounts, faster signal-to-action, and systems that scale without you rebuilding them every quarter.

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.