JobHunter AI
MB - Lead Software Engineer
name
Location
United States
Work Mode
Remote
Type
Full-Time
Sector
Ngo
First Seen
2026-07-14
Source
himalayas
Remote United States NGO Education IT Data Deadline Unclear Remote
Job Description
<p>US Based Salary: $109,433.96 - $145,000 <i>DOE</i></p><h3><b>About Us</b></h3><p><a href="https://himalayas.app/companies/ngp-van">NGP VAN</a> is the winningest technology platform in the history of democratic and progressive causes, working tirelessly to innovate and advance the technology our clients rely on to bolster our democracy. We help power the trailblazers, campaigners, and advocates fighting up and down the ticket for equality, racial justice, reproductive freedom, democracy, climate reform, and more— including the national Democratic committees and progressive organizations, thousands of Democratic campaigns, hundreds of labor unions, advocacy organizations, progressive and non-partisan PACs, and other organizations.</p><h3><b>About the Role</b></h3><p>As a Senior Software Engineer, you will work closely with cross-functional teams to ensure the technical health and quality of our product. You will use AI tools, services, and methodologies to drive innovation and enhance the software development lifecycle and build new features in the product. This role is ideal for someone who thrives in a collaborative environment and is passionate about driving the success of engineering initiatives while mentoring and guiding others.</p><h3>Key Responsibilities:</h3><ul><li><p>Own the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards.</p></li><li><p>Contribute and support successful sprint planning, execution, and retrospectives for features. Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos.</p></li><li><p>Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities.</p></li><li><p>Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery.</p></li><li><p>Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science.</p></li><li><p>Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies.</p></li><li><p>Mentor and guide team members, fostering a culture of continuous learning.</p></li><li><p>Contribute high-quality code to the product, including optimizing algorithms, maintaining high availability and uptime, and implementing AI-driven features.</p></li><li><p>Regularly evaluate and refine engineering processes, with a particular focus on improving workflows for development, AI technologies, testing, and deployment.</p></li><li><p>Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams