Role: Professional Services Engineer

Location: Dallas, TX | San Francisco Bay Area | Seattle, WA

Overview:

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we value performance, honesty, humility, and grit.

Responsibilities

• Design, build and implement custom solutions to process large amounts of data through the Appen Data Annotation Platform
• Provide technical recommendations as a “trusted advisor” to internal and external stakeholders with a “customer first” mentality
• Partner with Customer Success and Managed Services Teams as the technical liaison to deliver projects, drive adoption, minimize churn and drive renewals
• Collaborate closely with Product and Engineering teams to influence product roadmap based on market/customer requirements
• Travel to customer on sites as needed (post COVID-19)

Required Experience/Skills

• Minimum 3 years of implementation experience and/or in a technical customer-facing role
• Working knowledge of scripting and coding, database querying, and web development (e.g. Python, JavaScript, HTML, CSS, and SQL)
• Ability to break down complex problems and resolve through customer consultation and execution.
• Strong communication skills, including the ability to relate complicated concepts to both non-technical and technical audiences
• Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment

Nice to Haves:

• B.S. in Computer Science or Technical Bootcamp Equivalent
• Knowledge of ETL and ETL workflows
• Exposure to AWS Cloud Services, such as S3 and Lambda
• Experience building Executive-level and customer-facing dashboards and analysis