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Founding Staff Product Manager
Engineering (SW)
on site: New York City
added Fri Aug 25, 2023
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About The Role

As the founding product manager, your mission will be to ensure that Normal builds a category-defining generative AI application development platform powered by probabilistic AI to solve high-stakes enterprise customer applications. You will work on Normal’s highest impact and most pressing problems alongside our leadership, engineering, operations and Go To Market teams.

The ideal candidate has a strong entrepreneurial mindset, hands-on software engineering experience, and is comfortable working under ambiguity.

Responsibilities:

  • Build relationships with key stakeholders internally and externally to understand how Normal can deliver value efficiently and effectively

  • Build deep understanding of Normal’s end users through market research and data analysis

  • Establish and manage our product development and deployment processes, including company-wide product management best practices and rituals to instill a culture of customer obsession, rapid iteration and effective KPI tracking

  • ​​Develop and maintain a comprehensive product roadmap that aligns with company goals and objectives

  • Own cross-functional collaboration across various teams and guide the prioritization of new features, considering feasibility, impact, cost, and time in decision making

Qualifications:

  • 4+ years of experience in a customer-facing Product Manager role

  • Experience building AI/ML application products with B2B focus

  • Experience working in startups or AI-native high growth companies

  • Bachelor of Science in Computer Science, Engineering, Statistics, or similar field

  • Excellent verbal and written communication and presentation skills

Preferred qualifications:

  • Former startup founder or founding product manager with demonstrated track record of building customer-facing AI products through entire lifecycle from inception to business success

  • Hands-on experience with modern AI/ ML infrastructure, libraries and frameworks

  • Advanced degree in Computer Science, Engineering, Statistics, or similar field, or Master of Science or Business Administration degrees

Additional Information:

Normal Computing values diverse perspectives and experience. We encourage you to apply to this role if you feel you would be a good fit, even if you do not meet all of the requirements listed.

This role will receive a competitive salary + benefits + equity.

NY Est. Base Annual Range: $185,000 - $235,000

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amount may vary from the amount listed above.

Normal Computing is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Normal Computing is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@normalcomputing.ai

Normal is a New York-based deep-tech startup founded by former engineers from Google Brain, Alphabet X, and Palantir. Our investors include Celesta Capital, First Spark Ventures, Micron and former Google CEO Eric Schmidt. We engage with enterprise companies across various industries, including services, manufacturing, and the public sector, to deliver cutting-edge AI solutions.

We are on a mission to make AI universally scalable and useful.

Our products serve as critical full-stack infrastructure for our enterprise users in deploying AI into high-stakes applications. We are addressing the challenges of reliability, adaptivity, and auditability, which have traditionally been central barriers to adoption.

We believe that the untapped potential of AI to create transformative value remains to be fully realized. Thus far, AI has been subject to technological limitations such as unpredictable factual errors in generative AI (known as hallucinations) or lack of auditability as black-box models. Consequently, these limitations restrict the application of AI primarily to consumer-grade, low-stakes generative AI workflows and basic pattern recognition systems.

We envision that true transformative value can be unlocked in enterprise-grade, high-stakes AI workflows, where AI can reason reliably and autonomously, and understand its own limits. In these contexts, AI has the capacity to drive meaningful outcomes with real, complex impact.

Our approach involves redesigning AI systems from the ground up, contrasting other surface-level approaches. Our AI application development platform is powered by novel full-stack probabilistic machine learning infrastructure driven by thermodynamic physics. With Normal's probabilistic AI, we offer unprecedented control over reliability, adaptivity, and auditability to AI models, specifically tailored for critical and customer-specific enterprise workflows.

As we forge ahead with our mission, we are seeking passionate individuals eager to collaborate with our uniquely diverse and interdisciplinary team, and motivated by a workplace where the hardest problems remain to be solved.