Overview
You sell Signifyd's Commerce Protection Platform to mid-market and enterprise ecommerce companies. The product prevents fraud and guarantees chargebacks, so you're talking to fraud managers, risk directors, CFOs, and occasionally CTOs. Most deals involve replacing an existing fraud solution (like Riskified, Forter, or homegrown rules) or consolidating multiple point solutions.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | Full-cycle Enterprise AE |
| Sales Motion | Balanced - mix of inbound leads from demo requests and outbound to high-volume merchants |
| Deal Complexity | Consultative to Enterprise - technical integration + business case |
| Sales Cycle | 3-6 months (sometimes 9+ for large retailers) |
| Deal Size | $100K-500K ACV (based on transaction volume) |
| Quota (est.) | $800K-1.2M annually |
Company Context
Stage: Late-stage private (499 employees, founded 2011)
Size: ~500 employees
Growth: Established player in ecommerce fraud prevention - competing with well-funded startups and legacy solutions
Market Position: Challenger in a competitive space - fighting against Riskified, Forter, and homegrown solutions at larger merchants
GTM Reality
Pipeline Sources:
- 40% Inbound - demo requests from merchants searching for fraud solutions, some PLG from self-service tier
- 40% Outbound - targeted prospecting into high-GMV ecommerce companies (D2C brands, marketplaces, retailers)
- 20% Referrals/Partners - payment processors and platform partnerships (Shopify Plus, BigCommerce, etc.)
SDR/AE Structure: Dedicated SDR team for outbound prospecting and inbound lead qualification
SE Support: Shared pool of Sales Engineers for technical demos and integration scoping calls
Competitive Landscape
Main Competitors: Riskified, Forter, Kount/Equifax, Sift, homegrown fraud rules at larger merchants
How They Differentiate: Financial guarantee on chargebacks (they absorb the loss), AI-driven decisioning since 2011, integrated abuse prevention (not just checkout fraud)
Common Objections: "Our current solution is good enough", "We built our own ML models", "Too expensive for our margins", "Integration effort too high"
Win Themes: Chargeback guarantee shifts liability, higher approval rates = more revenue, eliminates manual review costs
What You'll Actually Do
Time Breakdown
Prospecting (25%) | Active Deals (50%) | Internal (25%)
Key Activities
- Discovery calls with fraud/risk teams: You're qualifying whether they have enough fraud losses or false declines to justify the switch. Many merchants don't track false decline rates well, so you're educating on hidden revenue loss.
- Multi-threading into finance and engineering: You need the CFO to care about chargeback liability and the CTO to approve the integration work. These groups don't always talk to each other.
- Competitive displacement: Most deals involve replacing an incumbent. You're running side-by-side tests, comparing approval rates and false positive rates, dealing with "it's working fine" objections.
- ROI modeling and business cases: You're building spreadsheets showing fraud loss reduction + false decline recovery + manual review savings. Numbers need to be airtight because finance will pick them apart.
The Honest Reality
What's Hard
- Integration friction slows deals - merchants need to pipe transaction data to Signifyd and implement API responses, which requires engineering sprints that slip
- You're selling a "tax" on revenue (basis points per transaction), so margins matter. Low-margin merchants (grocery, electronics) push back hard on pricing
- Proving ROI requires test periods where you're analyzing their fraud data. Tests can run 4-8 weeks and sometimes show you're not better enough to justify switching
- Deals stall in procurement or get deprioritized when the company shifts focus to growth initiatives over cost optimization
- You're competing against "do nothing" as much as competitors - many merchants only care when fraud spikes or chargebacks hurt them
What Success Looks Like
- Closing 8-12 enterprise deals per year at $100K+ ACV
- Running 15-20 active opportunities with clear next steps (test scheduled, integration scoped, contract negotiation)
- Converting 25-30% of qualified opportunities that enter testing phase
Who You're Selling To
Primary Buyers:
- Fraud/Risk Manager or Director (day-to-day user, cares about fraud catch rate and false positives)
- CFO or Finance Director (cares about chargeback liability and total cost of fraud)
- VP Engineering or CTO (cares about integration lift and system reliability)
What They Care About:
- Chargeback rate and liability exposure (especially if they're at risk of losing payment processor relationship)
- False decline rate - how many good customers are you rejecting (this is often unknown/unmeasured)
- Manual review costs - how many people are reviewing borderline orders
- Time to value - how fast can they integrate and start seeing results
- Competitive approval rates - are they approving fewer orders than competitors using better fraud tools
Requirements
- 3-5 years selling B2B SaaS to mid-market or enterprise accounts
- Experience with 6+ month sales cycles involving technical and financial buyers
- Comfortable with ROI modeling and financial business cases
- Ability to learn technical concepts (APIs, fraud scoring, payment flows) and speak credibly to engineering teams
- Track record of displacing incumbent vendors or navigating competitive sales
- Ecommerce, payments, or risk/fraud domain experience is a plus but not required