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Fiddler AI

Responsible AI platform for model monitoring

Solutions Architect - Customer Success

Full-TimeUpdated on 10/4/2026
$160k - $230k+ Equity
Senior
Bachelor's
Remote in USA+1 moreMore locations: Palo Alto, CA, USA
In PersonSan Francisco Bay Area candidates must work from the Palo Alto office three days a week.

About the job

Requirements
  • A bachelor's degree in Computer Science with an AI/ML focus, Statistics, Mathematics, or a related field, and 5–7+ years of professional experience.
  • At least 2 years of hands-on experience deploying, monitoring, or maintaining machine learning models in production environments.
  • Strong communication, presentation, and storytelling abilities to explain complex technical concepts as actionable insights for technical and executive audiences.
  • Strong organizational and project management skills, including the ability to balance multiple customer engagements and priorities.
  • Demonstrated collaboration across Product, Engineering, and Delivery teams to drive customer outcomes.
  • A customer-first mindset, empathy, curiosity, and ownership of value delivery.
  • Passion for continuous learning and the ability to inspire customers and peers through thought leadership and technical credibility.
Responsibilities
  • Partner with a Fiddler Delivery Manager to architect and implement customer onboarding solutions, align customer goals with Fiddler capabilities, and ensure on-time deployments meet clear success criteria.
  • Build relationships with data science and machine learning engineering teams, guide customers through their AI observability journey, and help them realize measurable value from Fiddler.
  • Lead ongoing technical engagements, status syncs, roadmap discussions, quarterly business reviews, and escalation management; ensure customer feedback informs the product roadmap and long-term strategy.
  • Develop expertise in Fiddler's platform and help customers operationalize observability best practices for model transparency, performance monitoring, and compliance across the machine learning lifecycle.
  • Write custom integration code connecting Fiddler to customer data ecosystems, including Snowflake, Airflow, MLflow, S3, and Kafka, to create robust, scalable, and secure pipelines.
  • Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and machine learning infrastructures to reduce time-to-value for new customers.
  • Identify additional ways Fiddler can provide impact through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth.
Desired Qualifications
  • Understanding of data science concepts, model interpretability, and explainability techniques used in modern machine learning systems.
  • Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency with Kubernetes and cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with the machine learning/data science lifecycle, including feature generation, model training, deployment, monitoring, and evaluation, including batch and real-time scoring through REST APIs.
  • Understanding of emerging AI technologies, including Generative AI, Large Language Models, RAG architectures, and agent-based systems.

About the company

Fiddler AI provides a Responsible AI Platform for enterprises to build and maintain trustworthy AI. It offers a SaaS suite that helps data science and MLOps teams monitor, explain, validate, and analyze machine learning models in production. The platform works by aggregating model telemetry and applying governance, bias detection, explanations, and performance analytics to ensure models stay reliable and fair at scale. What sets Fiddler AI apart is its strong focus on AI observability, governance, and explainability across production models, helping organizations meet regulatory requirements and reduce risk. The company’s goal is to help customers deploy AI that is transparent, compliant, and trustworthy, improving performance and customer trust while managing risk.

Company Size

51-200

Company Stage

Series C

Total Funding

$93.8M

Headquarters

Palo Alto, California

Founded

2018

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Simplify's Take

What believers are saying

  • January 2026 Series C raised $30M, bringing total funding to $100M.
  • Revenue grew more than 4x in eighteen months, signaling strong demand.
  • June and August 2026 releases added MCP Server, Guardrails, and Centor Models.

What critics are saying

  • Datadog, Arize, and Wiz can bundle similar controls before Fiddler scales.
  • Fiddler's premium platform depends on regulated-enterprise adoption, slowing revenue conversion cycles.
  • Agentic AI failures tied to Fiddler's promises would damage trust and derail enterprise deployments.

What makes Fiddler AI unique

  • Fiddler spans observability, enforcement, and governance across agents and predictive models.
  • January 2026 Series C funding and AWS Pattern Partner status validate enterprise credibility.
  • April 2026 Lumeus acquisition extends Fiddler from runtime monitoring into code-generation security.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

↓ -1%

1 year growth

↑ 0%

2 year growth

↓ -1%
AI Governance
Apr 10th, 2026
Fiddler AI acquires Lumeus AI to unify model monitoring and data security

Fiddler AI has acquired Lumeus AI, a cloud security startup specialising in data governance and zero-trust visibility, marking a shift towards unified AI observability and data security. The acquisition bridges the traditional gap between model performance monitoring and data privacy controls. Lumeus brings context-aware security that understands data sensitivity moving through AI pipelines. The combined platform will monitor both model health and data access simultaneously, enabling active governance features like automatic PII redaction and real-time access blocking. The move addresses growing enterprise pressures including shadow AI proliferation, regulatory demands, RAG complexity and data leakage incidents. By creating a unified control plane, Fiddler aims to automate compliance auditing and eliminate the friction between ML teams and security departments that has slowed AI deployment.

Business Wire
Feb 3rd, 2026
Fiddler Raises $30M Series C to Power the Control Plane for AI Agents

Fiddler AI, the enterprise AI observability and security platform, today announced it has raised $30 million in Series C funding led by RPS Ventures, with pa...

Fiddler AI
Feb 3rd, 2026
Announcing Series B and General Availability of Enterprise-Ready Fiddler | Fiddler AI Blog

Today, we’re excited to announce that enterprise-ready Fiddler is generally available, and we’ve raised $32 Million in Series B funding!

FinSMEs
Jan 27th, 2026
Fiddler AI Raises $30M in Series C Funding

Fiddler AI raises $30M in Series C funding. Fiddler AI, a Palo Alto, California-based provider of an enterprise AI observability and security platform, raised $30m in Series C funding. The round was led by RPS Ventures, with participation from existing investors Lightspeed Venture Partners, Lux Capital, Insight Partners, Capgemini Ventures, Dallas VC, Dentsu Ventures, and Mozilla Ventures, and new investors LG Technology Ventures, Benhamou Global Ventures, and LDV Partners. The company, which has secured $100m in total funding to date, intends to use the funds to expand operations and to scale its platform across regulated industries like healthcare, financial services, and insurance. Led by Co-founder and CEO Krishna Gade, Fiddler AI develops an all-in-one AI Control Plane that provides visibility, context, and control for AI agents, GenAI, and ML applications through proprietary trust models, evaluations, monitoring, and analytics capabilities. Its control plane for compound AI systems enables businesses to diagnose, explain, and govern their agentic decisions in real time. The company has grown its revenue more than 4x in the last 18 months, and achieved AWS Pattern Partners status. It serves Fortune 500 organizations.

Dallas Innovates
Dec 16th, 2024
Fiddler AI Raises $50M in Series B

Dallas Venture Capital has invested in Palo Alto-based Fiddler AI's Series B funding, which now totals $50M. Fiddler AI raised an additional $18.6M to enhance its AI observability and safety platform, enabling enterprises to deploy trustworthy LLM and ML applications. New investors include Cisco Investments, Capgemini, and Samsung Next. Fiddler aims to set standards for transparency and accountability in AI.