Overview
You'll build and scale Flock Safety's ABM motion for their license plate readers, cameras, and public safety software. This means identifying priority law enforcement agencies, municipalities, and large property/business accounts, then orchestrating coordinated campaigns to engage buying committees. You'll work with Sales, Product Marketing, Customer Success, and Marketing Ops to run 1:1 and 1:few plays that move these accounts through complex procurement and budget cycles.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | ABM/Demand Generation - Marketing Ops hybrid |
| Sales Motion | Account-based, outbound-heavy with some event/inbound |
| Deal Complexity | Enterprise/Strategic - committee buys, procurement, public budgets |
| Sales Cycle | 6-18 months (government/municipality accounts) |
| Deal Size | $50K-500K+ initial contracts |
| Quota (est.) | Pipeline influenced metrics, not direct revenue quota |
Company Context
Stage: Series D+ (well-funded, scaling fast)
Size: 1,461 employees
Growth: Expanding into new verticals (started with law enforcement, now selling to HOAs, retail, healthcare, property management)
Market Position: Category leader in AI-powered license plate readers and public safety cameras - competing on technology advantage but dealing with privacy concerns and procurement friction
GTM Reality
Pipeline Sources:
- 30% Inbound - City councils requesting RFPs, HOAs reaching out after crime incidents, referrals from existing law enforcement
- 50% Outbound - Sales-led outreach to target accounts (city managers, police chiefs, property directors)
- 20% Events - Trade shows (IACP, community safety conferences), local government associations
SDR/AE Structure: AEs self-source many deals, some SDR support for qualifying inbound
SE Support: Sales Engineers demo the physical cameras and software platform, critical for technical close
Competitive Landscape
Main Competitors: Traditional security camera providers (Axis, Motorola Solutions), other LPR vendors, internal "we'll just add more cameras" resistance
How They Differentiate: AI-powered vehicle detection, cloud platform with automatic updates, sharing network between law enforcement and communities
Common Objections: Privacy concerns from residents, budget constraints (especially government), "we already have cameras", procurement timelines
Win Themes: Crime solve rates, ROI case studies from similar communities, ease of deployment vs legacy systems
What You'll Actually Do
Time Breakdown
Account Research & Segmentation (25%) | Campaign Planning & Execution (35%) | Cross-functional Alignment (25%) | Reporting & Optimization (15%)
Key Activities
- Account Selection & Tiering: Work with Sales to identify and tier target accounts (which cities/counties/property groups to go after). You're pulling crime data, budget cycles, incumbent vendor info, and stakeholder mapping to decide where to focus.
- Multi-Channel Campaign Orchestration: Design and execute coordinated plays - personalized email sequences, direct mail (think sending crime stats to city councils), LinkedIn ads to buying committee members, executive roundtables/dinners. Each account gets different treatment based on tier.
- Sales Enablement for Target Accounts: Create account-specific battle cards, competitive intel, stakeholder maps, and talking points. You're briefing AEs on which personas to hit and what messaging resonates.
- Signal-Based Trigger Campaigns: Monitor intent data, budget approvals, crime spikes in target areas, and trigger outreach when accounts show buying signals. Lots of time setting up automations and alerts.
- Performance Tracking: Build dashboards showing account engagement, pipeline influenced, velocity improvements in ABM accounts vs non-ABM. You're constantly proving ROI to justify the budget you're spending on these programs.
The Honest Reality
What's Hard
- Government procurement is slow and political - you can run perfect campaigns but deals still take 12+ months because of budget cycles, RFP requirements, and council approvals
- Measuring ABM attribution is messy - Sales will claim they would have closed the deal anyway, you're fighting for credit on influenced pipeline
- Privacy concerns are real - some campaigns backfire when community groups push back on surveillance technology, you have to be careful with messaging
- Cross-functional alignment is constant work - Sales wants leads now, Product Marketing wants brand storytelling, you're stuck in the middle trying to balance short-term pipeline with long-term account development
- Budget constraints mean you can't do 1:1 for every account - you're constantly triaging which accounts get the premium treatment
What Success Looks Like
- ABM accounts move 20-30% faster through the sales cycle compared to non-ABM accounts
- You generate 3-5X pipeline from target accounts vs the same ad spend on broad campaigns
- Sales Leadership stops asking "what does marketing do?" because they see clear account engagement tied to your programs
- You build repeatable playbooks that scale - what works for Dallas PD works for similar cities
Who You're Selling To
Primary Buyers:
- Police Chiefs, Sheriffs, City Managers (government side)
- VP Security, Property Directors, Community Managers (private sector HOAs/businesses)
- Procurement Officers who control vendor selection and RFP processes
What They Care About:
- Crime reduction metrics and case solve rates (Chiefs/Sheriffs)
- Budget justification and ROI (City Managers, CFOs)
- Privacy compliance and community acceptance (all buyers)
- Ease of deployment and vendor reliability (procurement)
- Integration with existing systems (IT/Operations)
Requirements
- 4+ years running ABM or demand generation programs, ideally in B2B/B2G SaaS or hardware
- Experience with enterprise/government sales cycles - you understand procurement, committees, and political decision-making
- Strong in marketing automation (HubSpot, Marketo, 6sense, Demandbase, etc.) and comfortable building multi-step nurture programs
- Cross-functional collaboration skills - you'll be in constant alignment meetings with Sales, CS, Product Marketing, and Ops
- Analytical mindset - can build attribution models, prove pipeline influence, and optimize based on data
- Comfortable with ambiguity - this is a build-from-scratch role, not running established playbooks
- Bonus: Experience in public sector, security, or hardware sales (understanding how government buys is a huge advantage)