Lead Product Manager
Fieldguide160,000 - 195,000 USD/year
- Full Time
- Senior (5 to 8 years)
$180,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have at least 4 years of experience in a Product Manager role with direct client interface and facilitation. A Bachelor of Science degree in Engineering, Computer Science, Statistics, or a similar field is required. Strong business generalist skills to engage on go-to-market strategy and a successful track record in enterprise-driven sales motion are essential. Experience in startups or high-growth deep tech companies is necessary, along with exceptional communication and presentation skills.
Responsibilities
The Product Lead will build relationships with key stakeholders to understand how to deliver value effectively. They will advance understanding of end users through discovery and market research and manage product development processes, including best practices for product management. The role involves developing and maintaining comprehensive product roadmaps aligned with company goals and facilitating cross-functional collaboration to prioritize new features based on feasibility, impact, cost, and time.
Skills
Product Management
Stakeholder Management
Business Acumen
GTM Strategy
Sales Motion
Market Research
Customer Obsession
Product Development
Engineering
Research
Enterprise Clients
Normal Computing
Develops generative AI for enterprises
About Normal Computing
Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for critical applications in high-stakes environments.
Key Metrics
New York City, New YorkHeadquarters
2022Year Founded
$80.7MTotal Funding
GRANTCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees