Sales Engineer, Enterprise

What You'll Do

• Lead discussions and product demonstrations to showcase capabilities; address customer challenges, respond to questions, and handle objections.
• Craft technical content to guide customers in implementing specific use cases or extending our solution.
• Collaborate with account teams to understand customer requirements and translate them to Socket capabilities, emphasizing business value.
• Support Proof of Concepts (POCs) that align with customer requirements; provide technical expertise, troubleshooting, and guidance throughout the evaluation process.
• Provide guidance on integrating solutions into the customer's existing infrastructure.
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales.
• Collaborate with Customer Success to drive post-sales revenue, ensure retention, and contribute to growth.
• Execute cross-functional projects involving teams such as Engineering, Sales, and Marketing.

What You'll Bring

Required:

• 7+ years of pre-sales experience in a Sales Engineering or Solutions Engineering role.
• Hands-on experience working with enterprise customers in the security or technical SaaS space.
• Ability to multitask and efficiently handle multiple competing priorities, delegating when necessary while being highly organized, detail oriented, and demonstrating excellent time management skills.
• Empathetic mindset for the customer and a commitment to delving deep into the challenges they present or experience.
• Ability to work cross-functionally and contribute directly to Sales, Product and Engineering teams.
• Ability and desire to learn new tools and technologies.

Familiarity/Plus:

• Web APIs, SDKs, and other technical frameworks.
• Experience with open source, vulnerability management / SCA.
• Must be able to read/write basic scripts in languages Python, JavaScript, or Golang.
• Knowledge of common source control managers such as GitLab or Bitbucket.

Preferred:

• CS degree or equivalent industry experience.
• Hands on experience working with medium to large customers up to 1000 employees.
• Relevant security domain experience and familiarity with vulnerability management SEA tools.
• Experience with AI and Large Language Models (LLM).