Remote Jobs at Fiddler AI

Candidates must possess a Master's or Bachelor's Degree in Computer Science or an equivalent qualification, coupled with over 10 years of professional experience. Proficiency in Python is essential, along with demonstrated experience in debugging and troubleshooting production systems and providing on-call support. Familiarity with distributed systems infrastructure such as Redis, Postgres, RabbitMQ, and Celery, as well as Flask, is required. Experience with ML models in production, LLM framewor…

- Passion for AI and its potential to impact society positively - Strong problem-solving abilities and a desire to tackle challenging technical and business issues - Excellent communication and collaboration skills, with the ability to work effectively across distributed teams and time zones - Proactive and ownership-driven mindset - Commitment to continuous learning and professional development

- Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience - 6 years of experience in UI/UX design working closely with front-end engineers - 2 years using Figma with contributions to a design system featuring reusable components and clickable prototypes - Demonstrated ability to evolve design elements to meet new product requirements, highly responsive to iterative product development cycle - Include a portfolio, website, or …

Candidates should possess a Master's degree with no experience or a Bachelor's degree in Computer Science (AI/ML specialization), Statistics, Mathematics, or an equivalent field, coupled with over 7 years of experience. A minimum of 2 years of practical experience working with ML models in production is required, along with familiarity with Kubernetes in public cloud environments (AWS, Azure, GCP). Knowledge of data science concepts, including the development of interpretable machine learning mo…

- Operate in Pacific/Mountain Time Zones - Experience as a trusted technical advisor in sales engagements, particularly with enterprise customers in AI/ML - Strong technical expertise in AI, ML, Data Science, and MLOps to act as a bridge between product and customer needs - Ability to build and prove technical and business value in high-stakes sales cycles, including Proof of Concepts (PoCs) - Collaborative mindset with high trust, autonomy, continuous learning, adaptability, and "startup grit."…

- Experience building and scaling finance functions from the ground up in an early-stage startup environment - Proven track record in driving strategic financial decisions, forecast accuracy, and compliance - Ability to partner across the company to create frameworks, processes, and insights supporting capital raises, operational excellence, and profitable scaling - Leadership and mentoring skills for building and leading a finance team - Familiarity with financial metrics such as MRR/ARR growth…

- Experience in security engineering, particularly as the first hire defining security foundations for a platform - Ability to develop comprehensive security roadmaps addressing cloud security, application security, and incident response - Proficiency in implementing technical controls using GitHub Actions, Terraform, and Python - Capability to collaborate across Engineering and Product teams to embed security into the development lifecycle - Experience leading compliance roadmaps (e.g., SOC 2, …

- 1 - 2

- Expertise in systems engineering, product engineering, and data science - Experience with responsible deployment of machine learning models, large language models (LLMs), and complex agentic applications - Ability to work in a collaborative, cross-disciplinary environment with continuous learning

- Ability to operate as both strategist and executor, defining vision and executing quickly while wearing many hats - Experience negotiating with vendors - Capability to craft standout field activations and ensure flawless on-site execution - Comfortable rolling up sleeves for hands-on work in a fast-paced, scrappy startup environment - Strong collaboration skills, particularly with Product Marketing for messaging and positioning

- Technical expertise in ML/LLM systems - Ability to serve as a trusted advisor bridging technical and business needs - Experience guiding customers through onboarding and building integrations - Skills in operationalizing trustworthy AI at scale - Collaborative mindset for working in a tight-knit, remote team environment - Passion for AI observability and customer success

- Experience with platform engineering best practices from the industry - Expertise in managing containers-based model serving platforms - Ability to operate in hosted multi-cloud environments and customer on-premise VPCs - Skills in operating underlying infrastructure (compute, networking, storage, etc.) - Knowledge of CI/CD, local development environments, documentation, compliance, and upgrading processes

- Ability to deeply understand prospect challenges and translate complex product/technical insights into clear business value - Strong analytical skills to demonstrate how a customer’s business model improves through partnership with Fiddler - Capability to position the company as the preferred partner in a competitive landscape, building confidence, credibility, and long-term growth

- Operate on Pacific/Mountain Time Zones - Experience in pre-sales or solutions engineering roles (implied by senior level and responsibilities) - Technical expertise in AI/ML platforms, observability, and enterprise customer needs - Ability to act as a trusted technical advisor in high-stakes sales engagements - Strong collaboration, autonomy, and adaptability in a remote, distributed team environment

- (Implied from role): Experience or aptitude in sales development, prospecting, and lead qualification - (Implied from role): Strong research skills for identifying key decision-makers in enterprise accounts - (Implied from role): Proficiency in multi-channel outreach (email, phone, LinkedIn, events) - (Implied from role): Ability to collaborate with Marketing and Sales teams - (Implied from role): Comfortable in a fast-paced, high-energy startup environment with grit, accountability, and growt…