[Remote] Sales Engineer

Note: The job is a remote job and is open to candidates in USA. ATTOM Data Solutions is seeking a Sales Engineer to support customer engagements and build internal efficiencies within the Sales Engineering team. This role includes executing technical tasks, assisting with client-facing demos, and automating repetitive workflows to enhance team efficiency.

Responsibilities

• Support active deals by executing technical tasks — including SQL queries, data validation, API testing, and troubleshooting — in partnership with Senior Sales Engineers and Account Teams
• Assist with client-facing demos, technical calls, and follow-ups, and help answer client technical questions, RFPs, and security questionnaires
• Gather and analyze client requirements to determine optimal data structures, integrations, and delivery approaches, and translate them into clearly communicated solution recommendations
• Build internal tools, scripts, and lightweight workflows — including AI-driven automations — that streamline repetitive work across Sales Engineering and customer interactions
• Support customer onboarding and validation tasks — including data validation, delivery checks, and issue tracking — to ensure smooth transitions from pre-sale to post-sale
• Maintain high responsiveness and follow-through on client and internal requests — tracking open items, closing loops, and building a reputation as someone reliable, proactive, and easy to work with
• Execute the technical work that moves deals forward — SQL queries, data validation, API testing, and troubleshooting — in support of active opportunities
• Assist with client-facing demos, technical calls, and follow-ups, and help respond to client technical questions, RFPs, and security questionnaires
• Partner with Senior Sales Engineers and Account Teams to translate client requirements into clear, scalable solution recommendations
• Identify repetitive tasks across the Sales Engineering function — onboarding steps, data QA, email follow-ups, ticketing, customer Q&A — and build the tools, scripts, and lightweight workflows that eliminate them
• Experiment with AI tools and agents to streamline work across Sales Engineering and customer interactions
• Contribute reusable assets such as demo scripts, templates, and documentation that compound team efficiency over time
• Assist with onboarding tasks including data validation, delivery checks, and issue tracking
• Help ensure a smooth transition from pre-sale to post-sale by supporting technical implementation steps alongside Senior Sales Engineers
• Document common issues and resolutions so future onboardings get faster and more consistent
• Maintain working familiarity with REST APIs and JSON to troubleshoot connectivity and ingestion questions as they arise
• Maintain high responsiveness on client and internal requests
• Track and follow up on open items so nothing stalls unnecessarily, and close loops without being asked
• Clients and internal stakeholders should never have to chase for status
• Develop an understanding of customer data environments, use cases, and business needs over time
• Learn how to conduct discovery, prioritize requirements, and contribute to solution design
• Shadow senior team members across a variety of deal types and customer profiles, and progressively take on more ownership as experience grows
• Increase team efficiency by automating repetitive workflows and improving processes, freeing Senior Sales Engineers to focus on complex deals and strategic conversations
• Improve speed and quality of responses to clients on RFPs, follow-ups, and technical questions
• Contribute to a more scalable and systematized Sales Engineering function that compounds in value as the team and customer base grow

Skills

• 1–3 years of experience in a technical role (Sales Engineering, Solutions Engineering, Data Engineering, or similar)
• Strong SQL and programming skills for querying, validation, and data exploration — this is required
• Familiarity with APIs (REST, JSON) and basic troubleshooting
• Basic understanding of data concepts — data structures, pipelines, and warehouses
• Highly responsive and dependable — follows through without being asked, with proactive identification of inefficiencies and a bias toward building improvements
• Curious and eager to learn both technical and business concepts; able to balance multiple tasks while building broader context over time
• Experience with scripting or automation (Python, JavaScript, or similar) is a strong plus
• Experience with AI tools, automation, or workflow optimization is highly preferred

Benefits

• Flexible work schedule
• Flexible time off policy
• Medical, dental, and vision insurance
• Life and disability insurance
• Employer-paid benefits
• Employer-sponsored EAP (Employee Assistance Program)
• Traditional 401(k) and Roth retirement plans with discretionary company match
• Pet insurance
• Employee referral bonus
• Co-working/office membership through Regus

Company Overview