Senior Account Executive

Overview

You're selling Abstract's AI platform that makes sense of government and regulatory data (executive orders, legislation, regulations, court cases) to Fortune 500 corporations and top-tier law firms. You own the full cycle from prospecting to close, navigating legal, compliance, GR (government relations), and operations buyers who need to track regulatory changes. You report to the Co-Founder/COO at a 72-person company.

Role Snapshot

Company Context

Stage: Early-stage (likely Series A/B based on 72 employees and enterprise focus)

Size: 72 employees

Growth: Actively hiring for senior enterprise roles, focused on Fortune 500/AmLaw 200 expansion

Market Position: Category creator in AI-powered regulatory intelligence - competing against manual tracking, legacy GovTech tools, and legal research platforms

GTM Reality

Pipeline Sources:

• 20% Inbound - Likely from content/thought leadership in regulatory AI space, some founder network
• 70% Outbound - You're doing targeted account-based outreach to F500 and AmLaw firms
• 10% Referrals - Customer and investor introductions

SDR/AE Structure: Self-sourcing. At 72 people, there may be 1-2 SDRs, but you're expected to drive your own pipeline.

SE Support: Likely shared technical support for complex demos, but you need to understand the product deeply yourself.

Competitive Landscape

Main Competitors:

• Legacy legal research platforms (Lexis, Westlaw, Bloomberg Law)
• Point solutions for regulatory tracking (FiscalNote, Quorum)
• Internal government affairs teams doing manual monitoring
• Emerging AI regulatory tools

How They Differentiate: AI-native platform that aggregates messy government data across federal/state/local and makes it actionable. Focus on "chaos navigation" vs just data access.

Common Objections:

• "Our GR team already tracks this manually"
• "How accurate is the AI? We can't miss regulatory changes"
• "What about our existing Lexis/Westlaw contracts?"
• "We need this approved by Legal, IT, Procurement, and Compliance" (long buying process)

Win Themes: Speed to insight on regulatory changes, AI reducing manual research burden, comprehensive coverage across jurisdictions, use cases beyond just legal (operations, strategy, business development).

What You'll Actually Do

Time Breakdown

Prospecting (30%) | Active Deals (40%) | Internal (30%)

Key Activities

• Account Research & Outbound: You're identifying which F500 companies or law firms have regulatory compliance needs - pharmaceutical, financial services, energy companies with heavy government exposure. You're finding General Counsels, Chief Compliance Officers, Heads of Government Affairs. Most cold emails get ignored. You're trying to get 5-8 first meetings per month.

• Discovery & Multi-Threading: First call is usually with a Director of Government Affairs or Associate General Counsel. You need to understand their current process (usually spreadsheets, Google Alerts, manual tracking), how many hours they waste, what they've missed. Then you need to loop in Legal, IT for security review, Procurement. You're scheduling 10-15 internal meetings per active deal.

• Custom Demos & Use Case Mapping: You're showing how Abstract tracks specific regulations relevant to their industry - FDA approvals, SEC rules, state-level legislation. You need to configure demos around their exact pain points. Expect to spend 3-4 hours prepping each demo, often redoing them for different stakeholder groups.

• Proposal Creation & Contract Negotiation: You're building business cases with ROI calculations (hours saved, risk mitigation value). You're going back and forth on MSAs, security questionnaires, vendor risk assessments. Legal teams will redline everything. Deals that should close in Q2 slip to Q4 because of procurement cycles.

The Honest Reality

What's Hard

• Long, unpredictable cycles: You think a deal is close, then it goes to a committee you didn't know existed. Procurement asks for three competitive bids. Budget gets frozen. You're constantly forecasting deals that slip.

• Multiple stakeholders with different agendas: Legal cares about accuracy, IT cares about security, GR cares about workflow, Procurement cares about cost. You're herding cats across departments that don't always talk to each other.

• Product education: AI regulatory tracking is new. You're not just selling features, you're selling a new way of working. Buyers are skeptical about AI accuracy. You need to overcome "we've always done it this way" inertia.

• Self-sourcing at enterprise level: Finding the right person at a 50,000-person company or a 2,000-lawyer firm is hard. Gatekeepers block you. Org charts are outdated. You spend a lot of time on LinkedIn and ZoomInfo.

What Success Looks Like

• You close 6-10 deals per year in the $150K-$500K range
• You build a pipeline that's 4-5x your quota because slippage is real
• You develop deep expertise in 2-3 regulated industries and become the go-to rep for those verticals
• You get to uncapped accelerators on big deals - a $500K logo could be a $50K+ commission check

Who You're Selling To

Primary Buyers:

• General Counsel / Associate General Counsel (legal approval, budget)
• Chief Compliance Officer / VP Compliance (end user, pain owner)
• Head of Government Affairs / Public Policy (day-to-day user)
• Sometimes VP of Strategy or Operations (if regulatory intelligence feeds business decisions)

What They Care About:

• Accuracy: Can't miss a critical regulation or court ruling
• Coverage: Federal, state, local across all relevant jurisdictions
• Time savings: Currently spending 10-20 hours/week manually tracking
• Integration: Needs to fit into existing legal tech stack
• Security/Compliance: Handling sensitive government data, needs SOC2, etc.
• Proof: Case studies from similar companies, references from other law firms

Requirements

• 5+ years enterprise SaaS sales, preferably selling to legal, compliance, or government affairs buyers
• Experience with 6-12 month sales cycles involving legal/procurement
• Track record navigating Fortune 500 or AmLaw 200 accounts
• Understanding of regulated industries (financial services, healthcare, energy) is a major plus
• Ability to self-source pipeline and run full sales cycle independently
• Comfortable selling emerging technology (AI) where you need to educate buyers
• Based in or willing to relocate to NYC or DC (hybrid role, not full remote)
• Proven ability to hit $1M+ quotas in complex enterprise environments