Havoc is an all-domain collaborative autonomy company that builds software-defined hardware and autonomy software enabling autonomous systems across sea, air, and land to operate together.
ABOUT US: Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy http://havocai.com/ . ABOUT THE ROLE We are seeking a Junior Software Engineer, Business Analytics to help build lightweight software tools, dashboards, automations, and data workflows that improve how HavocAI operates. This role sits at the intersection of software engineering, business operations, analytics, and rapid prototyping. You will work with teams across the company to understand business needs, identify process gaps, and build practical tools that make information easier to access, analyze, and act on. This may include internal dashboards, reporting workflows, data pipelines, lightweight applications, AI-assisted tools, and automations that reduce manual work. This is a great role for an early-career engineer who enjoys “vibe coding,” rapid iteration, AI-assisted development, and solving ambiguous business problems with simple, useful software. Success in this role requires curiosity, strong technical fundamentals, good judgment, and the ability to turn unclear requests into working tools quickly. KEY RESPONSIBILITIES BUSINESS ANALYTICS & INTERNAL TOOLS - Build dashboards, reports, and lightweight internal applications to support business decision-making - Work with teams across Engineering, Operations, Finance, People, GTM, and Program Management to understand workflow and reporting needs - Translate business questions into data models, queries, dashboards, and actionable insights - Develop tools that improve visibility into company operations, program execution, recruiting, finance, and team performance - Help standardize reporting workflows and reduce manual spreadsheet-based processes SOFTWARE DEVELOPMENT & AUTOMATION - Build and maintain lightweight software tools, scripts, integrations, and automations - Use modern AI-assisted development tools to rapidly prototype and iterate on internal solutions - Connect systems through APIs, databases, spreadsheets, and workflow automation tools - Develop simple front-end interfaces, data visualizations, and back-end services as needed - Improve existing workflows by automating repetitive tasks and simplifying access to key information DATA & SYSTEMS INTEGRATION - Pull, clean, organize, and transform data from internal systems and business tools - Support data quality, consistency, and documentation across business-critical workflows - Build integrations between tools such as HRIS, ATS, finance systems, CRM, project management software, and internal databases - Partner with stakeholders to validate data accuracy and ensure tools are reliable and easy to use - Help create repeatable processes for analytics, reporting, and operational tracking COLLABORATION & PROBLEM SOLVING - Work closely with business and technical teams to understand needs, gather feedback, and improve solutions - Communicate clearly with non-technical stakeholders and translate requirements into practical technical outcomes - Move quickly from concept to prototype while maintaining good engineering practices - Document tools, workflows, assumptions, and handoff instructions - Support a culture of practical, high-ownership problem solving QUALIFICATIONS - Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, or a related technical field, or equivalent practical experience - 1–3 years of experience in software engineering, analytics engineering, business analytics, data analytics, automation, or a related technical role - Strong programming fundamentals, preferably with Python, JavaScript, TypeScript, SQL, or similar languages - Experience building dashboards, reports, scripts, automations, internal tools, or lightweight applications - Comfort working with APIs, databases, spreadsheets, and structured data - Ability to use AI-assisted development tools effectively while applying sound judgment and technical review - Strong analytical and problem-solving skills - Ability to work with ambiguous requirements and turn business needs into usable tools - Strong communication skills and comfort working with both technical and non-technical stakeholders - High ownership, curiosity, and willingness to learn quickly in a fast-moving environment - U.S. citizenship and ability to obtain and maintain a security clearance PREFERRED SKILLS - Experience with business intelligence or dashboarding tools such as Looker, Power BI, Tableau, Metabase, Retool, or similar platforms - Experience with workflow automation tools, scripting, or low-code platforms - Experience with SQL, data modeling, ETL workflows, or analytics engineering - Experience building internal tools using React, Next.js, Node.js, Flask, FastAPI, Streamlit, or similar frameworks - Familiarity with AI coding tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms - Experience integrating business systems such as Rippling, Ashby, Salesforce, HubSpot, Jira, Confluence, Rho, Navan, or other SaaS tools - Familiarity with cloud platforms such as AWS, GCP, or Azure - Experience working in a startup, high-growth technology company, defense technology company, or engineering-led organization - Interest in autonomy, robotics, defense technology, or mission-critical systems - Active or prior security clearance Preferred LOCATION: - Located in either San Dieg