Data Engineer for Client Success

Overview:
We are seeking a Client Success AI/Data Engineer to bridge the gap between advanced AI/data engineering and measurable client outcomes. This role blends technical expertise in AI/ML, data pipelines, and visualization with client-facing responsibilities. You will partner with clients, solution architects, and internal teams to design, implement, and operationalize AI-driven solutions that deliver sustained business value.

Responsibilities:

Client-Facing Solution Delivery

• Engage client stakeholders to define business goals, KPIs, and data needs.


• Translate requirements into data pipelines, AI/ML solutions, and actionable insights.


• Build client-ready dashboards and reporting tools.


• Advise on AI, data governance, and automation best practices.


• Lead enablement sessions to drive adoption of AI-powered workflows.

Data Engineering & AI/ML Development

• Design and maintain pipelines for structured/unstructured data.


• Develop, train, and deploy AI/ML models (NLP, computer vision, predictive modeling, anomaly detection, etc.).


• Operationalize models with MLOps best practices.


• Integrate solutions with client ERP/WMS and digital systems.

Reporting & Visualization

• Deliver intuitive dashboards (Tableau, Power BI, Looker) for client self-service.


• Present technical outcomes as clear business value to executives.

Continuous Improvement & Collaboration

• Represent the client internally, surfacing feedback to product/engineering.


• Explore new AI/ML applications relevant to client industries.


• Enhance predictive insights, recommendations, and AI coaching.

Qualifications:

Required

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.


• 3–6+ years’ experience as a Data Engineer, ML Engineer, or similar role.


• Strong Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).


• Proficiency in SQL and experience with relational & NoSQL databases.


• Cloud experience (AWS, Azure, or GCP).


• Dashboard design with Tableau, Power BI, or Looker.


• Excellent client communication skills with ability to simplify technical detail.

Preferred

• Background in warehouse automation, logistics, or supply chain data.


• Experience with big data frameworks (Spark, Kafka) and MLOps practices.


• Professional services or client success experience.

Why Verity?

• Fully remote role with periodic invitations to company events held throughout the year.
• Fair market compensation with a clear path for growth.
• A great engineering culture with flat hierarchies, emphasizing joint responsibility, mutual trust, and support.
• Work with a skilled, high-achieving, experienced, and fun team, with ample opportunities for professional development and career growth.
• 401k match program
• Medical/dental/vision health benefits
• Flexible vacation policy
• Variable bonus program

Learn more about who we are, what we do, and how we think at www.verity.net .

We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration for employment without regard to race, nationality, religion, sexual orientation, gender, age, physical [dis]ability, gender identity, or length of time spent unemployed.