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Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.
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Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their specific needs.
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Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product Management teams.
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Create and optimize data-driven dashboards for cross-functional use, facilitating informed decision-making and efficient collaboration with a focus on expansion and retention of existing customers.
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Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how.
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Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention.
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Support Geotab’s partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.
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May be involved in developing and implementing proof of concepts. This involves creating a small-scale version of the solution to demonstrate its feasibility and effectiveness in the customer's environment.
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Staying updated with industry trends, competitor products, and market demands is crucial. Need to understand the broader landscape in which Geotab operates to position their solutions effectively.
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Keep accurate records of customer interactions, solution designs, and outcomes is important. This helps in creating case studies, improving processes, and maintaining a repository of successful solutions for reference.
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Deliver compelling technical presentations and demonstrations to customers. They showcase the features and benefits of the product or service, highlighting how it solves the customer's problems.
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Work closely with the sales team and fellow engineers throughout the sales cycle as needed. Provide technical support, answer technical questions, and address concerns that potential customers may have in regards to their area of subject matter expertise.
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Based on customer requirements, design customized solutions or configurations using the company's products. They create proposals and presentations that outline how the solution meets the customer's needs, often through demonstrations or prototypes.
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Even before a sale is made, may assist with technical inquiries from potential customers. This could involve explaining technical details, providing documentation, or guiding customers on how to integrate the solution into their existing systems when expertise beyond the general area is required.
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Solve complex business problems by providing analytics or analytics-based consulting, including customer-tailored algorithms and predictive models, under guidance or mentorship.
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Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.
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Design, maintain and deliver Big Data dashboards and tools; document stakeholder requirements, resolve issues, and fulfill change requests.
- 3 - 5 years of required previous experience in the following areas: Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, Technical Account Management.
- 1 - 3 years of required previous experience: Experience using SQL (Google Big Query preferred), Experience with data science tools (Python, pandas, numpy preferred).
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Experience in a relevant technical field, such as software engineering, data analysis, or systems integration, with a focus on customer-facing roles.
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Technical knowledge and understanding of telematics, IoT, APIs, and related technologies, working knowledge of hardware integrations is a bonus.
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Effective problem-solving and critical thinking abilities, with the capacity to assess customer challenges and propose viable solutions.
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Strong communication and presentation skills, including the ability to articulate complex concepts to both technical and non-technical audiences.
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Ability to collaborate effectively with cross-functional teams, including sales, product development, and customer support.
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A customer-focused mindset, with a commitment to understanding client needs and delivering exceptional service.
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Time management and organizational skills, with the ability to manage multiple projects and priorities simultaneously.
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Desire to stay relevant with emerging technology and the flexibility to adapt to growing market demands.
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Experience with Python for data analysis or automation is desirable.
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Data Visualization Skills, particularly in dashboarding platforms such as Power BI or Tableau.
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Experience working with data science tools and SQL (GBQ preferred).
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Experience working with large data environments and demonstrated ability to extract value from very large datasets.
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Experience with data modeling and data warehouse concepts.
