Matillion
From Matillion's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
And we’re looking for people who want to be part of it.
Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.
Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution’s fit while positioning competitive advantages.
Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively.
Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment.
Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections.
Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n)Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks.
In-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
Hands-on experience with technical problem-solving and integration technologies (APIs, Linux, SQL).
Experience with value-based sales motion, especially through MEDDPPICC and Command of the Message
Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza)
Familiarity with version control tools such as Git, and experience with Python
Degree in Computer Science or related field (or equivalent practical experience)
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