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Staff Software Engineer, Front End



Software Engineering
San Francisco, CA, USA
Posted on Saturday, November 18, 2023

Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in Arlington, VA and San Francisco, CA. For more information, please visit

As a Senior or Staff Software Engineer you will have the opportunity to make a wide impact on our tooling, coding standards, and codebase. Additionally, you will take the lead on building new or updating data driven product features working with cross functional teams to solve the technical challenges of our natural language processing and machine learning technology.

We believe in creating an environment that encourages and creates opportunities for growth. Whether it’s helping create and contribute to a set of architectural principles, or pushing us to adopt high-impact OSS, we need engineers to help us make those decisions.

Roles and Responsibilities - How You Will Make an Impact

  • Collaborate with design and product to build functional and delightful product experiences
  • Ensure the technical feasibility of UI/UX designs
  • Build out frontend layers for new features and product

Relevant Skills and Experience

  • Strong knowledge of Front End Web Software Development
  • Expertise in JavaScript, React, Redux, and HTML5 / CSS3
  • Experience building and maintaining frontend component libraries
  • Experience with the development and long-term maintenance of SaaS products
  • Proficiency writing unit and integration tests
  • Experience leading commercial software technical projects end-to-end in an agile environment on any major cloud provider (AWS, GCP, Azure, etc)
  • 5+ years of shipping production grade software

Bonus Points

  • Numerical methods and/or machine learning experience
  • Back end development experience with Python
  • Experience with organization-level cloud infrastructure
  • Elasticsearch experience, especially as applied to information retrieval and search relevance

This role will consider applicants out of San Francisco, CA or Washington, DC

The annual cash compensation range for this position is US$225,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.

What We Offer

We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others.

We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.

We care a lot about our work and about the well being of our team. We encourage everyone to work at a sustainable pace and have an unlimited vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families.

We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Ginger, 401(k) (US employees), remote work stipends, and monthly internet allowance.

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 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.