Staff Solutions Architect, AI Subject Matter Expert

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Solutions Architect, AI Subject Matter Expert based in the United States.

The Staff Solutions Architect will serve as a leading technical authority for a specialized product domain, helping enterprise customers navigate complex technical decisions and achieve successful outcomes. This fully remote role combines deep technical expertise, customer-facing architecture, and strategic collaboration across Sales, Product, and Engineering. You will guide high-priority opportunities, lead technical evaluations, and demonstrate how advanced DevSecOps and AI capabilities address customer needs. You will also translate real-world customer feedback into product improvements while strengthening the technical expertise of the wider solutions architecture organization. Through reusable architectures, demonstrations, and enablement resources, you will help teams scale their impact and deliver consistent results. This is an opportunity to influence product strategy, accelerate AI adoption, and support secure, efficient software development at enterprise scale.

Accountabilities

• Serve as the technical authority for a designated product group across high-priority and complex enterprise opportunities, guiding customers from discovery and architecture design through trials and Proof of Value (PoV) evaluations.

• Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and clearly differentiate solutions from competing technologies.

• Develop and improve standardized PoV templates, product-specific evaluation content, and measurable success criteria while ensuring evaluations align with the broader platform strategy.

• Collaborate with Product Management and Product Marketing on product launches by developing demonstrations, technical presentations, sales talk tracks, and customer success stories.

• Act as an escalation point for Account Solutions Architects and Post-Sales Solutions Architects on complex technical questions, integrations, product capabilities, and competitive objections.

• Coordinate successful transitions from pre-sales to post-sales teams by communicating PoV success criteria, architecture decisions, and implementation requirements.

• Remain engaged after a sale until the customer's first production workload is running, providing additional support for complex accounts when needed to accelerate adoption and consumption.

• Gather and communicate structured customer feedback, competitive intelligence, and technical requirements to Product Management and Engineering to influence product roadmaps and development priorities.

• Support early-access initiatives and design-partner programs, and represent the organization at customer events, industry conferences, working groups, and through published technical content.

• Create reusable reference architectures, demonstration environments, competitive battlecards, PoV playbooks, and enablement materials that help account teams manage opportunities independently.

• Mentor Account Solutions Architects, strengthen their confidence and technical capabilities, and contribute to a global subject matter expert community.

• Monitor performance through technical win rates, bookings on supported opportunities, product-category targets, consumption growth, PoV conversion rates, evaluation timelines, production adoption, and the reuse and effectiveness of enablement assets.

• Champion AI-assisted development, agentic workflows, and practical AI applications that improve software development productivity and customer outcomes.

Requirements:

• Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep hands-on expertise in at least one relevant technical domain.

• Strong specialization in one of the following areas:

  • Security and Compliance: Application security testing, software supply chain security, dependency management, compliance, or AI governance.

  • Platform and Infrastructure: Scalable cloud and hybrid architectures, self-managed deployments, cloud infrastructure, or bring-your-own-model environments.

  • Core DevSecOps: Large-scale CI/CD environments, source code management, software delivery workflows, and migration projects.

  • AI and Competitive Solutions: Production AI-assisted development, agentic workflows, working prototypes, competitive evaluations, or enterprise migrations.

• Practical experience applying AI-assisted and agentic development workflows across planning, coding, testing, security, and software delivery in a customer-facing or pre-sales environment.

• Demonstrated success influencing technical decisions in large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive approval.

• Hands-on knowledge of Git, CI/CD, containers, Kubernetes, and at least one major cloud provider.

• Ability to communicate effectively with both technical and executive audiences, including leading architecture discussions with engineers and presenting business value to senior decision-makers.

• Strong written communication skills, with the ability to turn complex technical concepts into clear, reusable documentation and playbooks.

• Experience collaborating asynchronously across time zones with Sales, Product, and Engineering teams.

• Strong stakeholder management, problem-solving, and presentation skills, with the ability to translate customer requirements into practical technical recommendations.

• Public speaking, published technical content, open-source contributions, or relevant certifications in Kubernetes, cloud architecture, or security are advantageous but optional.

• Candidates with transferable experience in adjacent technical domains are encouraged to apply.

Benefits:

• Salary: $166,200–$279,900 USD base salary for US-based candidates, with the final offer determined by location, experience, education, skills, and internal equity.

• Sales incentive compensation: Sales roles may be eligible for incentive pay targeted at up to 100% of the offered base salary.

• Equity compensation: Restricted stock or other equity compensation opportunities, along with an employee stock purchase plan.

• Healthcare: Medical, dental, and vision benefits to support employee health and well-being.

• Insurance coverage: Life and disability insurance benefits.

• Retirement savings: Access to retirement-related benefits and financial wellness programs.

• Flexible paid time off: Flexible PTO to support work-life balance.

• Parental leave: Paid parental leave for eligible employees.

• Learning and development: Growth and development funding to support continued learning and professional advancement.

• Remote work support: Home office equipment and related support for a productive remote environment.

• Inclusive culture: Team member resource groups and an emphasis on diverse perspectives, collaboration, and professional growth.

• Remote-first flexibility: Work remotely within the United States, subject to applicable location-based hiring requirements.

• AI-enabled work environment: A culture that encourages the use of AI tools to improve productivity, innovation, and impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.