Senior Client Solutions Engineer

About Cover Genius

Cover Genius is a Series E Insurtech company recognized globally for protecting customers of leading digital enterprises such as Booking Holdings (including Priceline, Kayak, Booking.com), Intuit, Hopper, Skyscanner, Ryanair, Turkish Airlines, Descartes ShipRush, Zip, SeatGeek, Amazon, Flipkart, eBay, Wayfair, and Shopee. Our award-winning platform, XCover, enables our partners to embed seamless insurance solutions for millions yearly. The company's diversity spans over 20 countries, fostering unique cultural initiatives like "CG Gives," which supports social entrepreneurship and global community development.

Our team is driven by boldness, authenticity, purposeful innovation, and inspiration, steering clear of complacency, tradition, and caution.

Role Overview

The Senior Client Solutions Engineer will serve as a pivotal technical advocate from pre-sales through post-implementation support. This role demands a strong record in technical problem-solving, client interaction, and deep software and systems architecture knowledge. The engineer will convey complex technical content effectively to varied stakeholders and craft customized solutions aligned with client needs.

Key Responsibilities

• Collaborate with Partnerships to evaluate new opportunities, craft technical sales content, build proof of concept demonstrations, and help secure new clients.
• Architect solutions that minimize technical challenges, foster scalability, and optimize the client’s experience.
• Acquire in-depth expertise in Cover Genius’ products and system architecture.
• Diagnose and troubleshoot integration issues, executing root cause analyses.
• Utilize SQL, Google BigQuery, Google Data Studio, and related analytics tools to identify business growth prospects and deliver insights to partners.
• Manage several partner integrations simultaneously, coordinating stakeholders to ensure successful and timely implementations.
• Propose and drive process improvements and automation to enhance client engagement efficiency.

Required Skills and Experience

• Over 10 years of proficiency in programming languages including Python, JavaScript, Java, or PHP.
• A decade or more working with web technologies such as HTTP, HTML, and JSON.
• Minimum 10 years in roles involving direct customer interaction like sales, sales engineering, or consulting.
• Experience with AI and Large Language Model tools, including building or deploying agentic workflows, with the ability to critically assess outputs and leverage AI for boosting technical delivery and client engagement.
• Strong strategic planning, analytical thinking, and hands-on execution abilities.
• Background managing complex B2B technology products.
• Capability to explain intricate technical concepts clearly both verbally and in writing.
• Strong organizational and presentation skills.
• Bachelor’s degree in a relevant discipline; advanced degrees or notable academic achievements are desirable.

Desired Attributes

• Mandarin language fluency.
• Meticulous attention to detail.
• Effective presentation capabilities.
• A proactive, action-oriented approach.
• Commitment to ongoing professional learning and development.
• Adaptability and resilience in a dynamic work environment.
• A customer-centric mindset.
• Exceptional problem-solving skillset.
• Excellent communication proficiency.

Company Benefits and Culture

• Flexible working arrangements to accommodate individual needs.
• Global presence with opportunity to work across offices worldwide for up to four weeks annually.
• Employee stock options enabling staff to share in company success and ownership.
• Engagement in philanthropic activities via the "CG Gives" program promoting social entrepreneurship and community contributions.
• Participation in inspiring social initiatives enhancing workplace community and impact.

Additional Information

Cover Genius values diversity, inclusivity, and equal opportunity, prohibiting discrimination or harassment of any kind. The recruitment process may use AI tools to assist with application sorting, but human review makes all hiring decisions. Applicant data is securely maintained for three years in compliance with privacy policies.