Senior Product Manager - Generative AI & ML (West, Remote or Hybrid)
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, bolthires, Twitter, and bolthires) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and bolthires). 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 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
- 5+ 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
- Preferably Hybrid with at least 1 day a week in the Palo Alto office. Will consider full remote for a strong candidate on the West Coast Pay Range in San Francisco, California is $150,000 - $180,000 The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors. Apply tot his job
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