At Primer, we put our customers first. As a Senior Technical Delivery Manager, you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales. You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

United States citizenship is required for this position as a result of contractual requirements with the United States government.

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. The Services team is a jack-of-all-trades organization that serves as a key interface between individual clients and the broader Primer organization. Our charter is: (1) work closely with clients to discover the best use of Primer’s NLP/NLG algorithms for their needs; (2) prototype new algorithms, data pipelines, and visualizations; and (3) channel client feedback and algorithmic learnings back to Primer to drive future product development.

Responsibilities:

Roadmap: Work with clients, the business, and engineers 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.

Generalize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Requirements

• United States citizenship is required for this position as a result of contractual requirements with the United States government
• Minimum 5 years of relevant experience
• 3+ years of product/project management, product design, or equivalent consultant experience for a technology company
• 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

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 challengesFamiliarity with machine learning algorithms: gradient boosted trees, zero-shot modeling, deep learning, neural netsFamiliarity 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.