Our Purpose

At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions.

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.

Our Founders

Fiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital.

Why Join Us

Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

What You’ll Do

• Join a world-class team building an enterprise-grade LLM and ML Observability service for global businesses.

• Actively engage with customers, taking a hands-on approach to understanding the various infrastructure, security, and compliance requirements of enterprises.

• Identify gaps, paint the vision, and deliver actionable steps toward building a compelling Observability solution for enterprise customers.

What We’re Looking For

• 10+ yrs of enterprise Product Management experience, delivering mission-critical Enterprise software across SaaS and on-premise.

• Bachelor’s degree or equivalent in computer science or a related field; MBA or equivalent experience is a plus.

• Track record of leading cross-functional teams and managing complex projects from ideation to launch. Ability to understand gaps and requirements, translate to a roadmap, and drive execution and delivery

• Strong desire and ability to leverage data and analytics for informed decision-making and measuring product success.

• Experience in developing and delivering compliance capabilities such as Data Governance for Enterprise customers in regulated industries.

• Hands-on experience with Enterprise compute, storage, and networking technologies including an understanding of prominent Enterprise architectures.

• Experience working with engineering teams to develop scalable solutions, with a strong understanding of the software development lifecycle (SDLC).

• Ability to dive deep to understand technical challenges at the Engineering level when necessary and partner with Engineering to create the best solution for our customers

• Excellent verbal and written communication skills, with the ability to articulate complex problems and solutions clearly, with the right level of detail, to stakeholders at all levels.

Nice to have

• Prior experience developing and deploying ML Observability products catered to the enterprise

• Experience managing a team

• Preferably located in the Bay Area

Compensation and In-Office Policy

• Pay Range in the US for this role is $205,000 - $325,000+

• Fiddler HQ (Palo Alto) is hybrid for all Bay Area employees requiring 2 days a week in the office on Mondays and Thursdays.

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.

Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.