Professional Service Implementation Engineer
At NiCE, we challenge our limits and set ambitious goals. We strive for excellence and consistently exceed expectations. If you share our drive, we offer a career opportunity that will inspire and motivate you.
More About The Role
As an Implementation Engineer, you will lead projects essential to our clients’ success. You will configure Proactive AI products according to best practices and customer requirements, while coordinating activities across departments.
As part of the implementation team, you will collaborate with Customer Success, Product Development, and AI Innovation teams to design and implement business and technical requirements for Proactive AI deployments in both pilot and production environments.
The Professional Services Engineer also serves as an organizational leader, mentoring and coaching junior staff.
Key Responsibilities
- Become an expert in Proactive AI solution design, consultancy, and implementation.
- Learn the client’s business processes to define and document requirements for automated transactions of proactive customer journeys.
- Document end‑to‑end application integration specifications.
- Configure, perform E2E testing, debug, and deploy the SaaS platform in accordance with client requirements.
- Define and implement Proactive AI customer journey optimization strategies by utilizing data analytics in conjunction with a deep understanding of the Proactive AI transactional data model.
- Write SQL queries and build reports and dashboards.
- Collect, organize, analyze, and disseminate information with attention to detail and accuracy.
- Write and debug code snippets (in JavaScript).
- Design and test APIs.
- Assist with training new implementation specialists.
- Provide on‑call support to customers.
Basic Qualifications
- Bachelor’s degree in computer science, Business Analytics, Data Analytics, or a related STEM field.
- Knowledge of basic programming languages and data structures.
- Knowledge of data analysis and SQL.
- Curious with a passion for learning.
- An intriguing problem solver.
- Ability to successfully work in a team‑oriented, highly collaborative environment.
Preferred Qualifications
- Technical expertise in data structure extraction and summarization.
- Experience with JavaScript, C#, SQL, HTML, CSS, Python.
- Experience with integration tools.
- Application knowledge of Excel, Looker (or similar BI tool).
NiCE is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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