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Verified active · 13h ago

Staff Product Manager

Fiddler AIFiddler AI·Artificial Intelligence

Compensation

$200,000 - $245,000

Apply effort

~7 min

Ashby

Posted

81 days

01

About the role

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. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent 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. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  

Our Founders

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

Why Join Us

Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  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 innovating in the rapidly expanding LLM and ML infrastructure space

  • Actively engage in customer discovery, taking a hands-on approach to engage in conversations with customers. Deeply understand the challenges they face in observing AI/ML and LLM-based applications

  • Define a compelling vision and strategy for an enterprise-grade LLM Observability product

  • Lead the development and execution of the LLM Observability roadmap. Collaborate with Data Scientists, Engineers, and Designers to address the daily challenges our customers face in observing and troubleshooting AI/ML models and LLM-based applications. Build solutions that align with market trends and customer needs

What We're Looking For

  • Hands-on experience with Machine Learning

  • 10+ years of software product management experience with at least two years in ML

  • Enterprise or early-stage experience preferred

  • Passionate about AI: You geek out on data science and machine learning theory and industry developments

  • Technically fluent: You have experience building technical systems for technical users

  • Strategically minded: You can quickly grasp both business and customer motivations and goals and craft a plan to drive toward them

  • Exceptional communicator: You communicate clearly and concisely

  • BA/BS in Computer Science or related discipline

  • Hybrid with at least 2 days a week (likelihood of a 3rd in future) at our Palo Alto office.

Compensation

Pay Range San Francisco, Bay Area California $200,000-$245,000

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package 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. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.

Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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Aplyr's read

Fiddler AI specializes in AI model transparency, attracting professionals passionate about ethical AI and model explainability.

Synthesized from recent postings & public sources

What's promising

  • Fiddler AI is at the forefront of AI explainability, a critical need for ethical AI deployment.
  • The company offers a platform that helps businesses ensure AI models are transparent and accountable.
  • Fiddler AI has recently expanded its team, indicating growth and investment in diverse expertise.

What to watch

  • The niche focus on AI explainability may limit market size and revenue potential.
  • Fiddler AI operates in a highly competitive landscape with numerous players in AI transparency.
  • Limited public information about their financial stability and long-term business viability.

Why Fiddler AI

  • Fiddler AI's platform specifically addresses the growing demand for AI model accountability.
  • They focus on building tools that enhance trust in AI systems, a unique selling point.
  • Fiddler AI combines technical innovation with ethical considerations, setting it apart in the AI industry.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About Fiddler AI

Fiddler AI provides a platform for understanding and managing AI models, focusing on explainability and transparency in AI systems.

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