Enterprise Solutions Engineer

About the Role

Key Responsibilities

• Lead compelling technical product demonstrations that clearly showcase Crunchbase's platform value to enterprise prospects
• Design and execute hands-on proof of concepts (POCs) to help prospects test our data, workflows, and integrations
• Complete technical documentation including RFPs and security questionnaires that win enterprise deals
• Generate tailored CSV data exports and technical solutions for customers and prospects
• Support Customer Success and Experience teams with customer onboarding, adoption strategies, and technical troubleshooting
• Provide deep product expertise on our data architecture, API capabilities, and CRM integrations
• Assist the Revenue Org with internal technical troubleshooting and process optimization
• Implement internal tech tools that improve team efficiency (e.g., Gong, automation platforms)
• Enable the Revenue Org through internal training sessions on technical topics, discovery methods, and product capabilities
• Leverage AI tools and machine learning to automate repetitive tasks and improve workflows for both customers and internal teams

Requirements

• 6+ years of experience as a Solutions Engineer, Sales Engineer, or Technical Account Manager in B2B SaaS
• Deep understanding of APIs and data workflows — able to read API documentation, make calls using tools like Postman, and write basic scripts to automate or demonstrate use cases
• Strong working knowledge of Salesforce with ability to speak confidently about integrations, workflows, and common technical challenges
• Basic proficiency in scripting languages (JavaScript or Python) to support API testing, demos, and automation, with experience using SQL for basic querying and data analysis
• Excellent communication skills with ability to explain technical concepts to non-technical stakeholders, including executives, sales reps, and customers
• Experience supporting both pre-sales (demos, proof of concepts) and post-sales (onboarding, adoption, troubleshooting) initiatives
• Hands-on experience with AI platforms and tools such as OpenAI, Anthropic, or similar LLM providers to drive efficiency
• Understanding of AI ethics, responsible AI practices, and regulatory compliance (GDPR, CCPA) as they relate to AI implementations
• Experience with prompt engineering, fine-tuning, or working with large language models (beneficial)
• Familiarity with AI/ML APIs, model deployment, and integration patterns (plus)
• Experience with Snowflake, Databricks (plus)
• Hands-on experience with GTM tools like Outreach, Gong (plus)

Nice to Have

• Experience with Snowflake, Databricks
• Experience with GTM tools like Outreach, Gong
• Experience with prompt engineering, fine-tuning, or working with large language models

Benefits & Perks

• Competitive salary and equity in the form of stock options
• Remote first policy
• Generous Reimbursement policy for learning and development activities
• Monthly Wellness stipend
• 14 weeks of fully-paid time off for various life situations
• Flexible Paid Time Off (PTO)
• 22 Holidays in 2025
• Volunteering Paid Time Off
• Incredible medical, vision and dental benefits for employees and their families (including PPO, HDHP, and INO plans)
• 401(k) and Roth plans, and free annual financial adviser check-in
• Monthly internet stipend
• Work from home allowance to purchase furniture for your work from home space
• Matching charity contributions for our Townhall awards