Senior Product Manager

At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We’re built by AI experts and backed by world-class, diverse investors.

This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact. We are an equal opportunity employer and believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked.

About the role

We are looking for an experienced Product Manager to help lead one of our core AI product offerings. Reporting to the VP of Product, this person will collaborate with design, ML and engineering to help bring innovative ideas to life and deliver value to our customers. They will actively shape and contribute to the product vision and strategy.

What you'll do

• Own a a highly visible product and expand opportunities by leveraging good product discovery skills to ensure we’re building the right things at the right time
• Partner with Design, Engineering, ML Research and other key functions to consistently deliver innovative solutions and value to the market
• Collaborate with keys stakeholders within Customer Enablement, Marketing, and Sales to ensure feedback and insights are captured and considered as part of the discovery and ideation process
• Keep a finger on the pulse of the rapidly-evolving AI space to ensure we’re building products that are ahead of the curve
• Foster and maintain strong relationships across the organization through roadmap presentations, feedback gathering, customer discovery calls and thorough documentation
• Leverage data - both qualitative and quantitative - to inform thoughtful product decisions

Requirements

What we're looking for

• 7+ years of product management experience, with a strong understanding of machine learning model types and observability capabilities in a SaaS environment
• Demonstrated experience finding product-market fit for a SaaS product
• Familiarity with agile methodology and best practices
• Good balance of EQ and able to collaborate, motivate and lead a diverse group of people to drive success
• Detail oriented with an empathetic approach to product design & development
• Ability to thrive in a fast-paced environment and still maintain good organization and productivity
• Local to NYC and able to collaborate with team members in the office at times

You might also have (nice to have)

• Experience or interest in machine learning, generative AI/large language models and MLOps products
• Experience with observability or monitoring platforms
• Background in data science or machine learning

Benefits

What to expect at Arthur

• Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag
• A team of professionals who are passionate about our work and making a positive impact through AI
• A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work
• Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back
• Joy, humor, and a little dose of healthy competition (in our business, we win as a team; on company game night, may the best Arthurian win…)

We offer:

• Competitive compensation plus medical, dental, and vision insurance, and a 401K
• Our target base salary range for this role is $150,000 - $200,000, based on your depth of experience and how your skills align with role requirements
• Equity in what we’re building together, backed by some of the most respected VCs in the industry
• A flexible learning and development budget: we’ll cover a masters in computer science, or support ways to learn and grow in the areas that matter to you
• Highly discounted fitness and wellness benefits
• Flexible PTO with vacation minimums, which we really want you to take and enjoy
• The ability to work in a highly flexible hybrid environment (from your home and in our office) with our team in NYC