ABM Campaign Manager (Enterprise)

Liberate is the System of Action for Insurance—deploying insurance-native AI agents across sales, service, and claims to resolve customer requests end-to-end across voice and digital channels, with built-in governance, safety controls, and full auditability designed for regulated, long-form customer interactions.

Liberate is building a modern enterprise demand engine from the ground up. As ABM Campaign Manager, you'll own day-to-day execution of named-account ABM programs across 1:1 and 1:few motions, turning our positioning and proof into campaigns that drive engagement, meetings, SQLs/SQOs, and pipeline (sourced + influenced).

You'll start by reporting directly to the VP Marketing, and then transition to reporting into the Head of Demand Gen & Growth once that leader is hired. This is ideal for a 5-7 year marketer with B2B SaaS and/or AI-native marketing experience who's operated in a Series A-C environment and knows how to engage enterprise buying committees.

1) Named-account ABM execution (1:1 + 1:few)

• Run ABM across a ~400-account target list using tiered prioritization and repeatable plays.

• Build and run the ABM "play system": targeting → air cover → multi-touch activation → conversion → nurture → acceleration.

• Maintain high-quality account coverage: personas, contact maps, and enrichment (partnering with RevOps/Ops as needed).

2) Campaign orchestration across the 3 core plays (Sales, Servicing, Claims)

• Launch multi-touch campaigns that map to the three Liberate pillars—Sales, Servicing, Claims—and tailor messaging/offers per audience segment (carriers, agencies/brokers, ecosystem).

• Create "campaign kits" per play: messaging, proof points, creative briefs, landing page requirements, and follow-up flows.

3) Channel coordination (you don't own paid, you make it work)

• Coordinate tightly with Digital/Growth on LinkedIn air cover + retargeting (and other paid channels as the stack evolves).

• Own the ABM parts of email nurtures, landing page conversion flows, retargeting alignment, and post-event follow-up conversion sprints (in partnership with Events/Field).

4) Sales/SDR alignment + activation

• Run a tight weekly cadence with SDR/AEs on: account priorities, campaign timing, coverage, and follow-up.

• Ensure marketing creates conditions for outbound to convert: air cover, proof assets, landing pages, and clear CTAs.

5) Measurement, reporting, and learning loops

• Own campaign-level reporting and iteration:

  • Account engagement (leading indicator)

  • Meetings booked / meeting acceptance (esp. Tier 1)

  • SQLs/SQOs and conversion rates

  • Pipeline created + influenced with clear definitions and hygiene

• Run post-mortems and ship improvements fast (message, offer, segment, channel mix).

First 30-60 days

• Clean ABM infrastructure in place: account tiers, personas, contact enrichment workflows, campaign naming, and dashboards.

• First set of live campaigns across all three plays (Sales/Servicing/Claims) with clear follow-up paths.

90-180 days

• Repeatable ABM cadence is humming (launch → measure → iterate).

• Engagement is trending up in target accounts, and the engine is consistently producing meetings + SQL/SQO momentum and measurable influenced pipeline.

• 5-7 years in B2B SaaS marketing (AI-native a big plus), with meaningful experience targeting enterprise buyers.

• Hands-on ABM operator: you can build lists/audiences, ship campaigns, troubleshoot performance, and iterate quickly.

• Strong collaboration skills with Sales/SDRs, Product Marketing, RevOps/Marketing Ops, and Creative.

• Analytical and pipeline-oriented: you can manage leading indicators and revenue outcomes without hiding behind vanity metrics.

• Startup mindset (Series A-C): high ownership, speed, and comfort with ambiguity.

• HubSpot (campaigns, nurture, scoring, reporting)

• Clay + enrichment workflows (and intent as you build out the stack)

• LinkedIn (air cover + retargeting, coordinated with Digital)

• ABM/intent tooling (6sense/Demandbase/Terminus etc.) is a plus as you mature the stack.

• SF Bay Area preferred, but not required.

• Expect to be in/around Berkeley every 4-6 weeks during the early months for team time.