Staff Solutions Architect
Job description
About the role
Docker is seeking a consultative technical leader to guide our most significant enterprise clients through their container and AI adoption journeys. This role bridges the gap between customer needs and product development, serving as a primary technical authority for both pre-sales and post-sales engagements. You will own the technical narrative for strategic accounts, ensuring that Docker's solutions directly address their evolving business challenges. The position requires a balance of deep technical insight and executive presence to influence decision-makers across the organization. You will act as a trusted advisor, translating complex product capabilities into clear value propositions for the customer. Success in this role is defined by your ability to foster long-term partnerships that drive measurable outcomes. You will be instrumental in shaping how Docker is perceived in the market by demonstrating technical excellence at the highest level.
Key facts
What you'll do
- Lead technical strategy for high-priority accounts to accelerate their container and AI development workflows.
- Manage engagement plans that align Docker products with specific business goals for each client.
- Oversee rapid prototyping and design partner engagements to validate new use cases in real-world scenarios.
- Create custom demonstrations and technical content for audiences ranging from developers to C-suite executives.
- Act as a voice of the customer to internal engineering and product teams to influence the product roadmap effectively.
- Serve as an early adopter for new features to provide actionable feedback on functionality and documentation.
- Coordinate with global sales engineers to ensure technical consistency across all client touchpoints.
- Utilize data from sales tools to refine engagement approaches and demonstrate impact to stakeholders.
- Develop long-term technical narratives that support multi-year strategic initiatives with enterprise clients.
- Collaborate with solutions engineers to build compelling business cases for large-scale deployments.
- Maintain a current understanding of container orchestration best practices to advise clients accurately.
- Drive proof-of-concept initiatives that showcase the operational and financial benefits of Docker solutions.
Requirements
- Professional background as a Solutions Architect, Sales Engineer, or Solutions Engineer within complex enterprise environments.
- Ability to communicate technical concepts to both small and large audiences with clarity and precision.
- Experience managing relationships with stakeholders at both technical and business levels to ensure alignment.
- Proficiency in writing application code and a practical understanding of developer challenges in modern workflows.
- Solid grasp of cloud platforms including AWS, Azure, and GCP, alongside DevOps and modern application architecture principles.
- Fluency in English is essential for effective communication with internal and external stakeholders.
- Demonstrated ability to travel up to 50 percent of the time for customer and partner meetings domestically and internationally.
- A proven track record of succeeding in roles that require a high degree of ownership and accountability.
- Strong analytical skills to assess client environments and recommend appropriate technical solutions.
- Willingness to adhere to Docker methodologies and sales processes to ensure consistent client experiences.
- Capability to work independently and as part of a distributed team across multiple time zones.
- Commitment to maintaining the highest levels of professionalism in all client interactions.
Nice to have
- Direct experience with Docker or container ecosystems to accelerate initial engagements with clients.
- Background in Agentic AI development, Software Development Lifecycle, or Software Supply Chain Security to provide deeper insights.
Practical notes
- Visa sponsorship is not available for this position, so candidates must ensure they have the right to work in Australia.
- The role requires domestic and international travel up to 50 percent of the time, so candidates must be comfortable with frequent movement.
- Deadlines for application review are not specified, but early submission is encouraged due to the volume of applications.
- This is a full-time position based in Australia, with remote work flexibility subject to team and client requirements.
- Professional appearance during client meetings is expected, representing Docker in a consultative and polished manner.
- Relocation support is not provided, so candidates must consider their location independence for this role.
- The successful candidate will be required to comply with Docker's global code of conduct and ethical standards.
- Availability during Australian business hours is necessary to coordinate with sales and engineering teams.
- This position may involve exposure to confidential client information, requiring a high level of discretion and integrity.
- The role is performance-driven, with success measured by client satisfaction and adoption of Docker solutions.
- Continuous learning is expected to keep pace with the rapidly evolving container and AI technology landscape.
- The ability to adapt to changing client needs and market conditions is critical for long-term success.
- Collaboration with marketing teams may be required to develop case studies and reference programs.
- Proficiency with sales productivity tools is essential to manage pipelines and report on engagement health accurately.
- A strong work ethic and resilience are necessary to thrive in a fast-paced and dynamic sales environment.
- The position offers opportunities for career growth within the technical sales domain at scale.
- Feedback from clients will be used to refine messaging and improve internal training materials over time.
- Ownership of complex technical objections is a core part of the role, requiring creative problem-solving skills.
- The role supports the broader mission of making Docker the foundational platform for enterprise software delivery and AI innovation.