Drive growth and technical strategy across Queensland state and local government, helping public sector organisations solve their hardest data problems and close large, high-impact deals.
Compensation
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
Responsibilities
Partner with Sales to navigate and win complex sales cycles across Queensland government accounts
Identify, foster, and develop technical and executive champions within state government agencies, government-owned corporations, and local councils
Design high-impact solutions by turning customer requirements into concrete Snowflake AI Data Cloud capabilities
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake throughout the sales cycle
Present Snowflake's technology, roadmap, and vision to senior executive stakeholders and technical teams across state and local government
Requirements
University degree in Computer Science, Engineering, Mathematics, or a related field
Master's degree in Data Science or Business Administration
Senior Solution Engineer to join the Enterprise Acquisition team in Sydney to solve complex problems and help close large deals with new Retail and Telecommunications customers from discovery through proof of concept.
Responsibilities
Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, showing the value of Snowflake Cortex AI, Snowpark and Snowflake Horizon
Work hands-on through the whole sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning
Work with Account Executives and channel partners to plan and win competitive deals with new customers
Dig deep into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables
Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction, and data collaboration through Snowflake Marketplace and secure data sharing
Requirements
University degree in computer science
engineering
mathematics
related field
Nice to have: Experience with global systems integrators (GSIs)
A Senior Solution Engineer focused on solving complex customer problems, closing large deals through value-based demonstrations, and supporting enterprise Proof of Concepts within sales cycles.
Compensation
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
Responsibilities
Present Snowflake technology and vision to executives and technical contributors at prospects and customers
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
We are looking for a Senior Solution Engineer to join our Enterprise Acquisition team in Melbourne to solve complex problems and help close large deals with new Retail and Telecommunications customers.
Responsibilities
Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, showing the value of Snowflake Cortex AI, Snowpark and Snowflake Horizon
Work hands-on through the whole sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning
Work with Account Executives and channel partners to plan and win competitive deals with new customers
Dig deep into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables
Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction, and data collaboration through Snowflake Marketplace and secure data sharing
Requirements
A university degree in computer science, engineering, mathematics or a related field, or equivalent experience
Nice to have: experience with global systems integrators (GSIs) such as EY, Deloitte or Accenture
Nice to have: familiarity with retail data (POS, loyalty, supply chain, ecommerce)
Nice to have: telco data (OSS/BSS, network telemetry, subscriber analytics)
Nice to have: hands-on experience building generative AI or ML solutions
Senior Solution Engineer at Snowflake, responsible for presenting Snowflake technology to prospects and customers, delivering demos and PoCs, and supporting sales cycles.
Responsibilities
Present Snowflake technology and vision to prospects and customers
Deliver demos and PoCs throughout the sales cycle
Understand and position Snowflake against competitors and vendors
Collaborate with product, engineering, and marketing to improve product and marketing activities
Requirements
Bachelor's in Computer Science, Engineering, Mathematics, or related field
Solutions Engineer at Snowflake, responsible for presenting technology, demonstrating value, guiding customers from demo to implementation, and collaborating with product and engineering teams.
Responsibilities
Present Snowflake technology and vision to executives and technical contributors at customers and prospects
Work hands‑on with customers to demonstrate and communicate the value of Snowflake technology; identify use cases and guide the customer to successfully take them from demo to implementation and a successful go‑live
Present customers with the innovations in Snowflake and the value these innovations add to their business
Immerse yourself in the ever‑evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Requirements
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Join the Enterprise Acquisition team to solve complex problems and close large deals with new Retail and Telecommunications customers, working through the sales cycle from discovery to proof of concept.
Responsibilities
Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, showing the value of Snowflake Cortex AI, Snowpark and Snowflake Horizon
Work hands-on through the whole sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning
Work with Account Executives and channel partners to plan and win competitive deals with new customers
Dig deep into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables
Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction, and data collaboration through Snowflake Marketplace and secure data sharing
Requirements
A university degree in computer science, engineering, mathematics or a related field, or equivalent experience
Nice to have: experience with global systems integrators (GSIs) such as EY, Deloitte or Accenture
Nice to have: retail data (POS, loyalty, supply chain, ecommerce)
Nice to have: telco data (OSS/BSS, network telemetry, subscriber analytics)
Present Pinecone technology and vision to officials and technical contributors at prospects and customers
Work hands‑on with prospects and customers to demonstrate and communicate the value of Pinecone technology throughout the sales cycle, from demo to proof of concept to design and implementation
Immerse yourself in the ever‑evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Pinecone in relation to them
Collaborate with Product Management, Engineering and Marketing to continuously improve Pinecone’s products and marketing
Requirements
University degree in computer science, engineering, mathematics or related fields or equivalent experience
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