SaaS Product Implementation Engineer

Harvard Partners, LLP; Boston (MA); On-site; USD 70,000 - 110,000; Full time

Job summary

Harvard Partners, LLP is seeking an execution-focused SaaS Product Implementation Engineer to manage the technical lifecycle, data integrity, and launch operations for SMB clients. You will drive efficient onboarding, validate data, and troubleshoot integration issues across multiple accounts.

Responsibilities include end-to-end onboarding, data population updates, deep-dive investigations, AI-assisted data analysis, and rigorous validation workflows.

Qualifications

• 1–2 years of professional experience in implementations, technical operations, data analysis, or technical support role, ideally within SaaS or Fintech.
• Foundational familiarity with structural formatting concepts (flat files, CSV schemas, or API layouts) and data matching dynamics.
• Analytical problem-solving with high precision when inspecting large data files or system records.
• Velocity & execution: can manage high-volume tasks and meet deadlines.
• Strong verbal and written communication to translate data requirements into instructions.
• Bachelor's degree in Business Systems, Information Technology, Engineering, or equivalent.

Responsibilities

• Own end-to-end technical onboarding lifecycle for SMB clients.
• Coordinate data updates and population additions for existing clients.
• Perform exhaustive investigations into complex client integration issues.
• Audit incoming client files against standard mapping rules using AI tools.
• Run strict validation workflows for active accounts undergoing changes.
• Execute structural risk-profiling checks before live activation.
• Identify, isolate, and resolve integration or setup failures with diagnostic toolsets.
• Balance multiple high-volume data-matching tasks and deadlines.

Skills

Analytical problem-solving

Communication skills

Execution & velocity

Attention to detail

Education

Bachelor's degree in Business Systems, Information Technology, Engineering, or equivalent

Tools

Diagnostic toolsets

AI-assisted data analysis tools

Job description

As the SaaS Product Implementation Engineer, you will be an execution-focused professional contributor responsible for managing the technical lifecycle, data integrity, and launch operations. In this role, you will directly drive streamlined SMB implementations, handle critical population additions for existing clients, and perform rigorous data validation audits. Your primary goal is to conduct deep-dive technical investigations into configuration discrepancies, execute data validations, and utilize core data diagnostics to accelerate timelines while ensuring absolute platform reliability.

Responsibilities:

• SMB Implementation Ownership: Manage and execute the end-to-end technical onboarding lifecycle for streamlined SMB clients to ensure rapid and efficient implementations.
• Population Additions Management: Coordinate and execute data updates and structural population additions for existing clients, ensuring new worker blocks integrate without disruption.
• Deep-Dive Technical Investigations: Perform exhaustive analytical investigations into complex client integration anomalies, tracing system data flow issues down to root causes.
• Data File Auditing & AI Analysis: Audit incoming client files against standard mapping rules, utilizing AI-assisted data analysis tools to rapidly flag schema mismatches, formatting defects, and payload inconsistencies.
• Steady State Quality Assurance: Run strict validation workflows for active client accounts undergoing organizational changes, ensuring smooth change management.
• Launch Risk Screening: Execute structural risk-profiling checks across staged partner profiles to catch system processing logic errors prior to live activation.
• Technical Error Troubleshooting: Identify, isolate, and resolve integration or setup failures during implementation, using diagnostic toolsets.
• Task & Priority Management: Successfully balance multiple high-volume data-matching tasks and competing implementation priorities at once, ensuring all deadlines are met while maintaining high precision.

Qualifications:

• Relevant Experience: 1–2 years of professional experience in an implementations, technical operations, data analysis, or technical support role, ideally within SaaS or Fintech.
• Technical Aptitude: Some foundational familiarity with structural formatting concepts (such as flat files, CSV schemas, or API layouts) and data matching dynamics.
• Analytical Problem-Solving: Excellent logic-based analytical skills with a proven capacity for high precision when inspecting large data files or system records.
• Velocity & Execution: Demonstrated ability to manage high-volume transactional workloads and complete technical tasks concurrently within demanding deadlines.
• Communication Clarity: Strong professional verbal and written communication skills, with the capability to translate data requirements into direct instructions.
• Educational Foundation: Bachelor's degree in Business Systems, Information Technology, Engineering, or an equivalent level of professional hands-on operations experience.