Civis Analytics

Full-stack Engineer

• Develop high-quality software solutions for complex data problems
• Support and collaborate with engineers, designers, data scientists, and product managers across departments
• Review and debug code while applying Civis best practices and design standards
• Research, prototype, and recommend software solutions for client challenges
• Ensure project documentation is complete, current, and properly archived
• Engage the project on an emotional level as well as technical

Applied Software Engineer II

• Build and manage a cross-functional technical team (engineers, data scientists, design) through rapid hiring, contracting and onboarding
• Create clarity and alignment across fast-moving, interdependent projects where architectural decisions in one product impact the others
• Build team culture and processes from the ground up—you'll define how this team works, ships, and grows
• Create, maintain, and meet an engineering roadmap built in partnership with product and leadership
• Ensure that software meets high standards for quality while facing speed-to-market pressure. Execute sprint planning.
• Communicate goals, risks, and progress to executive leadership with clarity and confidence
• Make hard decisions about hiring, prioritization, and technical approach with incomplete information

Tech Lead, AI

Product Manager

• Develop the roadmap for AI products, considering the rapidly evolving AI landscape and competitive environment
• Manage the AI product lifecycle, from ideation and development to launch and post-launch optimization
• Identify opportunities to leverage AI technologies to solve problems for non-profits, government agencies, and other mission-driven organizations
• Work closely with data scientists, software engineers, and designers to build and refine AI features
• Collaborate with client success teams to understand the unique needs of non-profit organizations and mission-driven clients
• Create detailed product requirements and user stories for AI features and capabilities
• Lead product discovery sessions and user research to validate product concepts
• Communicate product strategy and progress to executive leadership and cross-functional teams
• Define success metrics and KPIs for AI product performance and user adoption

Applied Software Engineer II

Tech Lead, AI

Product Manager, AI