Google Cloud Evangelist

Simple Machines Sydney – Job Ad – Google Cloud Evangelist - AI and Machine Learning
Position: Google Cloud Evangelist - AI and Machine Learning
Location: Sydney, Australia
Travel: Potential travel within the ANZ and EU region on occasion

Simple Machines. Data Engineered to LifeTM

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes. We engineer data to lifeTM.

Role Overview:

This is a newly created role and an exciting opportunity to lead our go-to-market for AI and data-driven solutions on Google Cloud. You'll partner closely with Google Cloud and our globally distributed team to develop and promote advanced AI and machine learning solutions. As our GCP champion, you'll spend 50% of your time hands-on consulting, creating impactful Proof of Concepts, and collaborating with clients to identify transformative business opportunities, design scalable solutions, and ensure technical excellence from discovery to deployment. The remaining 50% will be dedicated to engaging with the tech community, producing content to showcase GCP's capabilities, and fostering partnerships. Focused on customer success and innovation, you'll play a crucial role in solving complex problems and bringing data to life at Simple Machines.

Requirements

What you will need to bring:

• Commercial Machine Learning Experience: Hands-on commercial experience with applied production grade ML with a demonstrated history of applying machine learning and data science to real-life scenarios for significant business impact.
• Data Science Expertise: Strong understanding of data science and data science principles, with the ability to apply these to real-world scenarios,
• GCP Proficiency: Proficient in Google Cloud Platform (GCP), ideally holding a Professional Cloud Architect certification and other relevant certification.
• Consulting Mindset: Demonstrate a consulting mindset with a proven ability to solve complex problems effectively.
• Enterprise Experience: Background in Solutions Architecture, Solutions Consulting, or Presales within the enterprise sector.
• Pre & Post-Sales Expertise: Extensive experience in pre & post-sales activities, including opportunity qualification, competitive analysis, solution design and build, demos, and handling RFI/RFP processes.
• Client Engagement: Skilled in working with customers to deeply understand their business needs and tailor solutions accordingly.
• Full Lifecycle Involvement: Capability to work with clients from the discovery phase through to implementation, ensuring seamless project execution.
• Software Development Standards: Adhere to strong software development practices and standards to create robust and maintainable software.
• Hands-On Technologist: Be a hands-on technologist who goes beyond presenting PowerPoint slides, actively architecting and implementing enterprise ML & AI solutions for large organisations.

Solutions Engineering

• Client Problem Solving: Leverage our expertise in machine learning (ML) and artificial intelligence (AI) to help clients across various industries solve their most significant challenges.
• Proof of Concepts: Develop co-designed Proof of Concepts to demonstrate the tangible value of our solutions.
• Client Collaboration: Collaborate closely with clients to understand their business needs and identify opportunities to leverage ML and AI technologies effectively.
• Solution Design: Design and develop scalable ML and AI solutions tailored to meet specific client requirements.
• Data Pipelines and Workflows: Implement efficient data pipelines and workflows to enhance data processing and analysis.
• Automation: Automate data processes and workflows to improve operational efficiency.
• Technical Guidance: Provide technical guidance and support to cross-functional teams to ensure seamless project execution.
• Customer Satisfaction: Maintain a strong focus on ensuring customer satisfaction and success throughout the project lifecycle.
• Multi-Project Management: Manage multiple opportunities in parallel, overseeing day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria.
• Pre & Post-Sales Management: Own and manage pre & post-sales activities, including opportunity qualification, competitive analysis, solution design and build, demos, and handling RFI/RFP processes.
• Innovative Deployment: Implement new and innovative deployment techniques, tooling, and infrastructure automation within Simple Machines and for our clients.

Capability Management / Partner Alignment

• GCP Capability Development: Drive the growth and enhancement of GCP capabilities within Simple Machines.
• Partnership Building: Forge and nurture strong relationships with Google.
• Joint Opportunity Exploration: Collaborate with partners to uncover and develop joint opportunities.
• GCP Advocacy: Serve as the internal and external advocate for all GCP-related go-to-market activities.
• Pre-Sales Leadership: Lead pre-sales discovery, scope alignment, gap identification, and requirement definition.
• Technical Sales Leadership: Conduct technical sales workshops and Google product presentations with a keen understanding of client pain points and desired outcomes.
• Internal Showcasing: Showcase the capabilities of new Google products and features internally through spikes and POCs.
• Event Participation: Attend and present at partner events and industry networking meetups, representing Simple Machines and our GCP capabilities.

Who you will work with:

• Customer and Partner Collaboration: Work closely with customers, partners, and prospects to understand needs and propose tailored solutions.
• Partnership Engagement: Collaborate with key technology partners, such as Google, to drive partnership engagement, explore joint venture opportunities, and plan joint accounts.
• Team Collaboration: Partner with Simple Machines Leadership, Data Science, Machine Learning, and Platform Engineering teams to develop and deploy high-quality production code.
• Sales Support: Work alongside the Sales team to produce high-quality sales proposals and responses to RFPs, ensuring alignment with client requirements and business goals.

Benefits

What We Offer in Australia:

• Salary: Competitive salary and benefits package.
• Annual Leave: 4 weeks standard
• Your Day - No Questions Asked: One additional day off per year, no explanation required
• Regular Lunches: We provide gourmet lunches on Monday, Wednesday and Friday.
• Professional Development: $1,500 annual budget for training, courses, and conferences, with potential for additional funding.
• Certifications: $2,500 annual budget for certifications and related courses.
• Company Sick Leave: 10 days per annum.

Join Us:

Simple Machines is a diverse and globally distributed team of individual talents. Everyone in the firm is among the best at what they do. That's why they're here. We have a collective obsession with the future and a passion to create real change through technology. If you're someone who's as passionate as we are about building a world-class technology company specialising in engineering for data, you'll fit right in.