Technical Delivery Manager
Updated on 5/11/2023
San Francisco, CA, USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
Natural Language Processing (NLP)
  • 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
  • Roadmap: 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
  • Execute: 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
  • Strategize: 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
  • 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
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.
  • Medical, dental, & vision+
  • Mental health
  • Unlimited PTO
  • Parental leave
  • Equity
  • 401k
  • Volunteering
  • Stipends
  • Career development
Company Core Values
  • Always human
  • Creating legacy
  • Constantly curious
  • Obsessed with better
  • Keeping promises
  • Customer to champions