Quantiphi
Strategic Account Executive – Insurance
USA - Remote · Senior · Full-time
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About the role
- Quantiphi's BFSI Business Unit is seeking a dynamic Strategic Account Executive - Insurance to own and expand key insurance accounts.
- In this high-impact role, you'll drive account growth by uncovering net-new opportunities, building trusted executive relationships, and positioning our AI, data, and cloud solutions to solve critical business challenges.
- As the primary commercial lead for your accounts, you'll partner closely with delivery teams, solution architects, engineers, and cloud partners to accelerate revenue expansion, strengthen customer satisfaction, and deliver long-term strategic value.
Responsibilities
- Own and manage a portfolio of Insurance clients (P&C, Life, Annuities, Specialty, Reinsurance), driving account growth and long-term partnerships.
- Lead the end-to-end sales and account management lifecycle: account planning, opportunity identification, pipeline development, deal execution, and expansion.
- Build and maintain strong executive relationships across Underwriting, Claims, Actuarial, Risk, Compliance, Operations, IT, Digital Transformation, and Data teams.
- Collaborate closely with internal GTM teams, solution engineering, and hyperscaler partners (GCP, AWS, Azure) to deliver cohesive client solutions.
- Manage complex deal structures, including MSAs, SOWs, renewals, and expansions.
- Use structured sales methodologies (Challenger, Solution Selling, SPIN, Target Account Selling) to manage long, multi-stakeholder insurance sales cycles.
- Demonstrated ability to grow existing accounts and drive expansion revenue.
- We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI-driving measurable outcomes at the very core of their operations.
- As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
Requirements
- 12+ years of experience in Technology Services Sales, Consulting, or Account Management, with a strong focus on the Insurance industry.
- Proven success selling into Insurance enterprises, engaging senior and C-level stakeholders.
- Experience selling data, cloud, AI/ML, analytics, automation, or digital transformation services in regulated environments.
- Ability to travel up to 50% for client meetings and industry events.
- Prior experience with a top-tier technology or consulting professional services firm.
- Experience negotiating MSAs, SOWs, and complex commercial constructs.
- Experience selling or managing Data / Platform / Analytics / AI / ML solutions.
- Understanding of cloud-native AI/ML solutions, GenAI frameworks, and platforms such as GCP Vertex AI, AWS Bedrock, Azure AI Studio, TensorFlow, PyTorch, and GPT-based models.
- Awareness of Insurance industry regulations, data privacy requirements, and AI governance best practices.
- Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 1000 companies.
Nice to have
- Bachelor's degree in Business, Technology, or a related field (or equivalent work experience).
- MBA is preferred.
Compensation
- Drive revenue growth by consistently meeting or exceeding annual quota targets.
Benefits
- Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.
This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.