Customer Implementation Engineer

Summary

Watershed is a world leading Learning Analytics Platform, helping organizations prove the impact of their learning and training programs. They are seeking a technically strong implementation engineer to join their Technical Watershed product team, focusing on customer-facing support and services responsibilities.

Responsibilities

• Client Implementation: Build connections between Watershed and client systems, and configure Watershed to meet each client's goals
• Data Pipelines & Integrations: Build and maintain data pipelines and API integrations, and write scripts to create and manage data connections to Watershed
• Reporting & Analysis: Use our flexible reporting platform to perform data analysis on complex data sets and build dashboards and reports that help clients understand and act on their data
• Consulting & Best Practices: Consult with clients on their goals, share knowledge of best practices, and help clients build out their learning data ecosystems
• Technical Support & Troubleshooting: Provide technical assistance to clients and work closely with the technology team to troubleshoot issues and influence product changes
• Automation and Deployment: Automate repetitive technical workflows to improve efficiency for both clients and the team. Develop automation and deployment workflows using CI/CD tools, i.e Jenkins
• Core Product Contributions: Occasionally contribute updates to Watershed's core product — a much lower priority relative to client-facing and integration work
• Client Relationships: Serve as a public-facing representative for the company and product, building rapport with clients and industry partners and identifying opportunities for expansion within existing relationships
• Training: Train clients on how to use Watershed effectively

Skills

• 3+ years of hands-on programming experience, ideally including Python, REST APIs, data wrangling, and software automation tools
• 3+ years of experience in a client-facing role implementing SaaS software, data science, analytics, or reporting tools
• Demonstrated ability to build and maintain data pipelines and system integrations
• Ability to understand client challenges and translate them into actionable technical solutions
• Excellent communication, documentation, problem-solving, and analytical skills
• A strong sense of ownership, responsibility, and initiative
• Flexibility to balance multiple assignments in a fast-paced environment
• The ability to work independently, yet function as an integral part of a team
• Proficiency in SQL and MySQL database
• Experience with Python and Java development
• Familiarity with Jenkins and CI/CD automation
• Familiarity with corporate learning ecosystems is a huge plus — but not a requirement
• Experience with learning data, xAPI, SCORM, and JSON are a plus

Qualifications

Must Haves

• 3+ years of hands-on programming experience, ideally including Python, REST APIs, data wrangling, and software automation tools
• 3+ years of experience in a client-facing role implementing SaaS software, data science, analytics, or reporting tools
• Demonstrated ability to build and maintain data pipelines and system integrations
• Ability to understand client challenges and translate them into actionable technical solutions
• Excellent communication, documentation, problem-solving, and analytical skills
• A strong sense of ownership, responsibility, and initiative
• Flexibility to balance multiple assignments in a fast-paced environment
• The ability to work independently, yet function as an integral part of a team
• Proficiency in SQL and MySQL database
• Experience with Python and Java development
• Familiarity with Jenkins and CI/CD automation

Nice to Haves

• Familiarity with corporate learning ecosystems is a huge plus — but not a requirement
• Experience with learning data, xAPI, SCORM, and JSON are a plus