Sales Engineer, ANZ

SALES ENGINEER, ANZ

As the company Sales Engineer, ideally based in Sydney or Melbourne, you will play a pivotal role in driving our sales efforts by leveraging your technical expertise and exceptional communication skills. Collaborating closely with the sales team, you will be the bridge between our technology and our clients, delivering compelling technical demonstrations and guiding customers towards successful implementations. Your ability to showcase the value and capabilities of the company's offerings will be instrumental in driving growth and customer satisfaction. You will primarily cover Australia and New Zealand, working alongside Account Executives and the Partner team.

KEY RESPONSIBILITIES

• Engage in technical discussions with prospective clients to understand their unique challenges and data requirements.

• Own technical relationship with prospects throughout the sales process. Run discovery, demos, and POCs. Lead architecture reviews.

• Develop and deliver compelling technical presentations, showcasing the capabilities and features of the company's solutions.

• Collaborate with customers to understand their data ecosystem, workflows, and integration points, providing tailored solutions to address their needs.

• Craft and present technical proposals that effectively communicate the benefits of the company's technology in solving complex business problems.

• Serve as the technical liaison between clients and internal teams, conveying customer feedback and contributing to product enhancement discussions.

• Stay up-to-date with industry trends, competitive landscape, and emerging technologies such as AI to effectively position the company's offerings.

• Continuously build expertise in the company's technical features, use cases, and integration possibilities.

REQUIREMENTS

MUST HAVE

• 5+ years in data engineering, analytics engineering or data platform roles, including at least 2 years as a Sales Engineer, Solutions Engineer or similar technical sales role.

• Strong technical understanding of data engineering concepts, ETL processes, and data transformation methodologies.

• Experience with MCP and governing AI agents' in building and managing data infrastructure. Strong technical understanding of agentic AI and how it is used in data engineering.

• Familiarity with data governance and data observability concepts and their relationship with data engineering

• Proficiency in SQL and demonstrated experience working with Snowflake and the Snowflake partner ecosystem, or other cloud data platform such as Databricks or Google BigQuery.

• Experience running POCs.

• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

• Demonstrated problem-solving skills and a consultative approach to understanding and addressing customer challenges.

• Self-motivated, proactive, and results-driven mindset with a focus on driving customer success.

• Willingness to travel as needed to support customer engagements and attend industry events.

NICE TO HAVE

• Experience with version control systems (e.g., Git) and collaborative development practices.

• Bachelor's degree in a technical field, such as Computer Science, Engineering, or related disciplines (or equivalent practical experience).

• Located in Sydney or Melbourne

BENEFITS

• Competitive salary and performance-based incentives.

• Contribution toward private health insurance.

• Employer superannuation contributions in line with the Superannuation Guarantee.

• Flexible work arrangements and remote work options.

• Professional development opportunities and continuous learning.

• Collaborative and innovative work environment.

If you are a passionate technologist with a strong background in data engineering, a proven ability to drive technical sales, and a desire to contribute to transformative solutions, we invite you to apply. Join us in shaping the future of data transformation and analytics at the company.

Since our founding in 2020, the company has been on a mission to improve the lives of data professionals by making data transformation as efficient and intuitive as possible. We’re putting an end to the days of arduous manual coding and inflexible GUIs by providing a best of both worlds solution.

We're a remote and culture-first company. We believe that a strong, intentional culture is key to attracting and retaining world-class talent. Here, you’ll find a workplace built on radical honesty, deep trust, empathy, and a shared commitment to continuous learning and growth.

The company is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to fostering an inclusive, accessible environment. If you need accommodations during the application process, please let us know.