AI-Driven SDR for SaaS & Insurance Growth

Sapiens

Greater London

Hybrid

GBP 28,000 - 42,000

Full time

10 days ago
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Job summary

Sapiens, a leading insurtech, seeks an SDR to join our London-based team on a hybrid basis. You will qualify inbound interest, nurture leads, and hand over well-qualified opportunities to the sales team with context.

Working closely with marketing, you’ll build AI-powered outreach sequences, manage lead data in Salesforce and SalesLoft, and help hit quarterly pipeline targets. 2–3 years in SaaS SDR roles and strong English skills are preferred.

Qualifications

  • 2–3 years in SaaS sales or SDR roles, ideally in insurance/fintech.
  • Experience building AI-powered sales workflows and sequences.
  • Strong English communication, written and spoken.
  • Familiarity with ABM platforms and CRM (Salesforce).

Responsibilities

  • Qualify and progress inbound leads from marketing campaigns.
  • Collaborate with marketing on lead nurturing cadences for sales handoff.
  • Run omnichannel outreach across email, phone, and social.
  • Build AI-powered workflows and sequences to automate personalization.
  • Provide lead insights on quality, objections, and signals to marketing.
  • Manage lead data and pipeline in Salesforce and SalesLoft.
  • Deliver well-qualified opportunities to sales with context.
  • Hit quarterly and annual pipeline targets.

Skills

SaaS sales
Marketing-aligned SDR
ABM
Lead scoring
Demand generation
AI-powered workflows
Salesforce
SalesLoft
English communication
Research & listening

Tools

Salesforce
SalesLoft

Job description

Sapiens, a leading insurtech, seeks an SDR to join our London-based team on a hybrid basis. You will qualify inbound interest, nurture leads, and hand over well-qualified opportunities to the sales team with context.

Working closely with marketing, you’ll build AI-powered outreach sequences, manage lead data in Salesforce and SalesLoft, and help hit quarterly pipeline targets. 2–3 years in SaaS SDR roles and strong English skills are preferred.

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