Senior Solutions Engineer

About the role

In this pivotal role, you will bridge the gap between customer needs and technical solutions tailored for enterprise clients. Your responsibility will be to interpret complex requirements and convert them into actionable, impactful strategies. You will ensure that proofs of concept are not only accurate but also scalable and primed for successful implementation.

Key facts

What you'll do

• Act as the primary technical resource for Account Executives during the final stages of the sales process, providing expert guidance and support.
• Efficiently conduct and present high-quality proofs of concept to demonstrate the capabilities of our solutions.
• Oversee the complete implementation journey, from the initial setup phase through to the live deployment of solutions.
• Design, build, and deploy customized AI agents utilizing Kernel's proprietary technology and tools.
• Serve as a trusted advisor for a designated portfolio of clients, ensuring their needs are met and exceeded.
• Collaborate with the Product team, offering insights and feedback to drive continuous improvement in our offerings.
• Develop strong relationships with clients, ensuring they are engaged and satisfied throughout the implementation process.
• Analyze client feedback and performance metrics to refine and enhance future implementations and solutions.
• Stay informed about industry trends and emerging technologies to provide clients with innovative solutions.
• Facilitate training sessions for clients to ensure they are equipped to utilize our solutions effectively.
• Work closely with cross-functional teams to ensure alignment and successful project outcomes.
• Adapt to changing project requirements and client needs, demonstrating flexibility and creativity in problem-solving.

Requirements

• A minimum of 3 to 7 years of experience in a client-facing role that involves analytical or technical responsibilities, such as Solutions Engineering, Implementations, Technical Account Management, or Consulting.
• Strong technical skills, particularly with APIs and Javascript, along with a solid understanding of data systems.
• A product-focused mindset, emphasizing the importance of understanding the "why" behind initiatives before determining the "when," and the ability to challenge project scopes that do not add value for the customer.
• Exceptional analytical and problem-solving skills, with a keen eye for detail.
• Comfort in navigating ambiguity and developing innovative solutions to complex technical challenges.
• Experience working in dynamic, fast-paced startup environments.
• Proven ability to manage multiple clients and projects simultaneously without compromising quality.
• Excellent communication skills, with a talent for establishing and nurturing trusted relationships with customers.
• Willingness to occasionally work later hours to accommodate clients based in the US.

Nice to have

• Previous experience with AI products or relevant use cases that demonstrate your understanding of the field.
• Familiarity with Revenue Operations (RevOps) workflows and systems, including Customer Relationship Management (CRM) tools and related software.
• Knowledge of industry best practices and emerging trends in technology and customer success.

Skills & tools

• Proficiency in APIs
• Javascript expertise
• Familiarity with Kernel's proprietary tools and technology

Practical notes

• Benefits for this role include 24 days of annual leave in addition to public holidays, a monthly office dinner allowance of £450, two weeks of work-from-anywhere flexibility, generous parental leave policies, a pension scheme, high-quality equipment, a centrally located office in London, and opportunities for team-building events.
• This position is not ideal for individuals who thrive in highly structured environments, prefer routine tasks, seek purely internal roles, or are more inclined towards management rather than hands-on building and delivery.
• The interview process consists of a video call with the Talent team, a subsequent video call with the Hiring Manager, an in-person case study interview, and a values-based interview with the Founders.

About the company

Enterprise AI only works when the underlying data is accurate - but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments. We've raised a $14M Series A from top VCs and operators at Plaid, OpenAI, Slack and others to solve this with Agentic Company Data - the AI-native alternative to Dun & Bradstreet.