At Primer, we put our customers first. As a Product Manager, you’ll guide products from ideation to launch for some of the world’s largest enterprises. You’ll be responsible for understanding customer needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and the business. You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.
About Us
Primer is an Artificial Intelligence company that organizes and analyzes text-based data sources and generates analyst-grade natural language summaries for a variety of industries. Our objective is to help our customers understand the world around them ‐‐ whether it is emerging geopolitical events, development of a product line or area of research, or monitoring a portfolio of companies’ financial performances. Product development at Primer moves rapidly between research, design, engineering, and testing. Product managers keep this process running smoothly, making sure everyone has a shared understanding of the big picture. Product managers manage innovation within the constraints of delivery deadlines and evolving customer needs. They jump between strategic planning, problem-solving facilitation, ideation sessions, deep-dives into scientific literature, and user testing.
Requirements:
- Minimum 5 years of relevant experience
- 3+ years of product management, product design or equivalent consultant (bonus for experience with enterprise software)
- 2+ years working with Data Scientists or Machine Learning engineers (does not have to be in a product capacity)
- Academic background in Computer Science, Engineering, or quantitative discipline
- Strong analytical capability with experience in data modeling and analysis
- Demonstrated success in delivering new products and features
- Ability to make things happen around you, and a desire to contribute and learn. You manage project ambiguity, complexity, and cross-functional interdependencies in an organized and structured way. Be able to define and analyze metrics that inform the success of products
Responsibilities:
- Roadmap: Work with customers, the business, and engineering to set strategy and collect and prioritize requirements
- Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers
- Invent: Think widely about potential applications of machine learning and natural language processing techniques, translating the capabilities of these techniques into business value for customers.
Bonus:
- Familiarity with machine learning modeling workflows and basics of Data Science: feature selection and engineering, different machine learning model families, optimization considerations for machine learning models, deployment and serving challenges
- Familiarity with machine learning algorithms: gradient boosted trees, zero-shot modeling, deep learning, neural nets
- Familiarity with machine learning platforms and knowledge of big data systems
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.