Field Architect
MinIO
$200,000 - $225,000 / year
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes.
You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers.
What You Will Do:
Technical Leadership & Architecture
- Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements.
- AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services.
- Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design.
Customer Engagement & Advisory
- Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency.
- Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments.
- Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases.
Ecosystem, Enablement & Field Operations
- Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models.
- Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services.
- Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams.
- RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations.
Product Intelligence & Market Expertise
- Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes.
- Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated.
Your Skills and Experience:
- Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications.
- Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable.
- 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant.
- Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure.
- Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments.
- Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus.
- Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.
- Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly.
- Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams.
- Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences.
- Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
- Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment.
- Willingness to travel as needed to support customers, partners, field events, and internal team activities.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered.
What We Offer:
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Pay Transparency
MinIO determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. The salary range for this position is $200,000 - $225,000 base with commission. Actual offer will be based on your qualifications. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
About this role
MinIO is seeking a Field Architect to lead technical strategy and customer success around AIStor, its enterprise data platform for AI and analytics workloads. This is a senior customer-facing role based in San Francisco (remote eligible) that bridges the gap between what customers need and what MinIO's technology delivers. You'll own the full lifecycle from initial technical discovery through production deployment and expansion, working directly with infrastructure, platform, and AI teams at Fortune 100 companies to design and validate object storage architectures that solve real data-intensive problems.
The role demands deep expertise in object storage, S3 architectures, distributed systems, and cloud infrastructure, combined with 10+ years in a senior technical advisory capacity. You'll spend significant time on technical architecture design, proof-of-value execution, performance analysis, and ecosystem integration—translating business requirements into scalable AIStor deployments across AI training, inference, analytics, and data lakehouse environments. Kubernetes, containers, and modern data platforms like Databricks and Spark are core to the work, as is the ability to guide customers through complex tradeoffs in performance, resilience, and operational efficiency.
This role suits someone with hands-on Linux and storage systems experience who thrives in customer-facing technical leadership, enjoys building trusted advisor relationships, and can communicate complex architecture decisions clearly to diverse stakeholders. You'll also feed competitive and market insights back to MinIO's product and engineering teams, helping shape the roadmap based on real-world workload patterns and customer needs. The salary range is $200,000–$225,000.
This role's local market on JobMinglr
Pay for this role
$200,000 to $225,000 per year
That is the employer's posted range, and where you land in it is usually decided in one conversation. Before that conversation, run the numbers: analyze an offer for this role.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.