Partner Solution Engineering Manager, ANZ (Sydney or Melbourne) at Snowflake

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, DataIndustries

Requirements

10+ years of industry experience in a pre-sales/customer facing capacity with 2+ years of direct line management experience (hiring, developing and retaining top talent)
Broad range of technical experiences within large-scale AI and data technologies, including practical applications in Data Warehousing, Business Intelligence, and Cloud Computing
Understanding of cloud architectures and services involving SaaS solutions with any of the popular cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
Outstanding presentation skills for both technical and executive audiences, leveraging whiteboards, presentations, and demos effectively
Experience architecting solutions with leading data analytics and AI/ML ISV vendor technologies
Hands-on experiences with SQL, Python or development languages, coupled with strong technical skills in data manipulation, warehousing, ETL processes, and analytics
Ability to connect a customer’s specific business problems and Snowflake’s solutions
A university degree in computer science, engineering, mathematics, or related fields is preferred, or equivalent practical experience

Responsibilities

Lead a team of Partner Solution Engineers who serve as the technical sales leaders and trusted advisors for our partners
Collaborate closely with the Partner Management, Sales, Pre-Sales, Marketing, and Services teams and partners to develop initiatives and programs to strengthen our partner’s Snowflake practices and develop service offerings and joint solutions to address customer needs and market opportunities
Provide guidance to the Snowflake team on best practices for leveraging Snowflake’s Partner Network to optimize partner engagement
Interpret complex problems, create simple solutions, and align with the larger Snowflake team and our partners to deliver winning solutions
Play an active role in sourcing and screening potential candidates and managing the interview process
Act as a player/coach, taking ownership in key partner engagements while working with your team to provide strategic support and build leadership relationships with our key Partners. This includes developing technical strategies for strategic partners and participating in executive-level partner discussions
Travel within ANZ and overseas throughout the year to support partner engagement such as enablement, deal support and key marketing events

Skills

Key technologies and capabilities for this role

SnowflakeSolution EngineeringPartner ManagementTechnical SalesCloud ServicesSystem IntegratorsTeam LeadershipJoint SolutionsPre-SalesMarketing Collaboration

Questions & Answers

Common questions about this position

What is the location for this Partner Solution Engineering Manager role?

The role is based in Sydney or Melbourne, ANZ, with required travel within ANZ and overseas throughout the year to support partner engagement.

What experience is required for this position?

Candidates need 10+ years of industry experience in a pre-sales/customer facing capacity with 2+ years of direct line management experience, plus broad technical experience in large-scale AI and data technologies including Data Warehousing, Business Intelligence, and Cloud Computing.

Is there a salary range mentioned for this role?

This information is not specified in the job description.

What does the team structure look like for this manager role?

You will lead a team of Partner Solution Engineers who serve as technical sales leaders and trusted advisors for partners, acting as a player/coach while providing strategic support.

What makes a strong candidate for this Partner Solution Engineering Manager position?

Strong candidates have 10+ years in pre-sales with management experience, technical expertise in AI, data warehousing, BI, and cloud computing, and the ability to interpret complex problems, develop joint solutions, and engage in executive-level discussions.

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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