Solutions Architect, Customer Success

Fiddler AI

Solutions Architect ensuring customer success by bridging AI observability and business value for Fiddler's platform. Collaborating closely with customers to drive adoption and value realization from AI solutions.

Posted 6/9/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowKafka

About the role

Key responsibilities & impact

Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met.
Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler.
Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy.
Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle.
Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines.
Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers.
Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth.

Requirements

What you’ll need

Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience.
2+ years of hands-on experience deploying, monitoring, or maintaining ML models in production environments.
Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences.
Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities.
Demonstrated collaboration across cross-functional teams—Product, Engineering, and Delivery—to drive customer outcomes.
A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value.
Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility.

Benefits

Comp & perks

Competitive pay + equity
Unlimited PTO
Premium health, dental & vision (*100% premium coverage for employees)*
401(k) plan
Monthly fitness reimbursement
Paid parental leave
Annual Caltrain pass
Monthly in-office massages
Fastrak reimbursement
Lunch provided Mon–Thurs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI observabilityML model deploymentML model monitoringcustom integration codedata ecosystemsmodel transparencyperformance monitoringcomplianceintegration patternsmodel governance

Soft Skills

communicationpresentationstorytellingorganizational skillsproject managementcollaborationcustomer-first mindsetempathycuriositythought leadership