Senior Technical Delivery Manager
Posted on 9/29/2023
INACTIVE
Primer AI

51-200 employees

Text analytics security solutions
Company Overview
Primer is on a mission to build mission-ready AI for those who protect security and democracy. With Primer, analysts and operators can understand and act on vast amounts of unstructured data in real time - from text and images to audio and video.
AI & Machine Learning
Data & Analytics
Aerospace
B2B

Company Stage

Series D

Total Funding

$240.5M

Founded

2015

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

0%

2 year growth

-42%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Requirements
  • Minimum 5 years of experience in a professional environment within a SaaS-based company
  • Experience managing large scale enterprise data integration projects that are highly technical & cross functional in nature
  • Familiarity with managing various data schemes, flows, privacy / GDPR compliance landscape
  • Experienced in gathering and understanding project requirements, driving scope discussions and prioritization with alignment of project priorities
  • Comfortable collaborating with both external & internal partners (HR, Finance, Customer Experience, Product, Compliance, Marketing, Security, Engineering, Compliance, Data) to gather business requirements and define objectives
  • Demonstrated technical expertise contributing to project, process, and system development; coordinating the delivery of enterprise data and architecture initiatives across the team
  • Experience prototyping on software products with customers is preferred
  • Bonus points for familiarity with machine learning modeling workflows and basics of Data Science (e.g., classification vs. regression, feature selection and engineering, different machine learning model families, optimization considerations for machine learning models, deployment and serving challenges). Familiarity with machine learning algorithms, databases, constructing data pipelines
Responsibilities
  • Work with clients, the business, and engineers to set strategy and collect and prioritize requirements. Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
  • Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
  • 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.
Desired Qualifications
  • Experience prototyping on software products with customers
  • Familiarity with machine learning modeling workflows and basics of Data Science
  • Familiarity with machine learning algorithms, databases, constructing data pipelines