Role Description
The Sales Engineer is a technical, client-facing role focused on executing technical tasks, supporting customer engagements, and building internal efficiencies that scale the Sales Engineering team. This role partners closely with Senior Sales Engineers and Account Teams to support client conversations, deliver technical validation, and help move deals forward β while also identifying opportunities to automate and streamline repetitive work across the team.
This role is ideal for someone early in their Sales Engineering career who is strong technically, highly responsive, and eager to learn. Success comes from a combination of technical execution, curiosity, and initiative β pairing reliable follow-through with a willingness to identify inefficiencies and build the automations, scripts, and AI-driven workflows that remove them. Over time, this individual will grow into deeper discovery, solution design, and customer ownership responsibilities, ultimately progressing toward a Senior Sales Engineer role.
What you will do:
-
Support active deals by executing technical tasks β including SQL queries, data validation, API testing, and troubleshooting β 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 β including AI-driven automations β that streamline repetitive work across Sales Engineering and customer interactions.
-
Support customer onboarding and validation tasks β including data validation, delivery checks, and issue tracking β to ensure smooth transitions from pre-sale to post-sale.
-
Maintain high responsiveness and follow-through on client and internal requests β tracking open items, closing loops, and building a reputation as someone reliable, proactive, and easy to work with.
Qualifications
-
1β3 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 β this is required.
-
Familiarity with APIs (REST, JSON) and basic troubleshooting.
-
Basic understanding of data concepts β data structures, pipelines, and warehouses.
-
Experience with scripting or automation (Python, JavaScript, or similar) is a strong plus.
-
Experience with AI tools, automation, or workflow optimization is highly preferred.
-
Highly responsive and dependable β 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.
Requirements
-
Technical Execution and Deal Support: Execute the technical work that moves deals forward β SQL queries, data validation, API testing, and troubleshooting β in support of active opportunities.
-
Automation and Internal Tooling: Identify repetitive tasks across the Sales Engineering function β onboarding steps, data QA, email follow-ups, ticketing, customer Q&A β and build the tools, scripts, and lightweight workflows that eliminate them.
-
Customer Onboarding and Validation Support: Assist with onboarding tasks including data validation, delivery checks, and issue tracking.
-
Responsiveness and Follow-Through: Maintain high responsiveness on client and internal requests. Track and follow up on open items so nothing stalls unnecessarily.
-
Learning and Growth: Develop an understanding of customer data environments, use cases, and business needs over time.
-
Impact and Contribution: Increase team efficiency by automating repetitive workflows and improving processes.
Benefits
-
Base Annual Salary $85,000-100,000 plus variable component (Final salary offered may vary depending on your location, job-related skills, knowledge, and experience).
-
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 Description
ATTOM Data Solutions is an Equal Opportunity Employer/W/M/Dis. Relocation assistance is not offered for this position.