Arkham Technologies

Full-stack Engineer

• Feature Development & Implementation: Assist in building and maintaining high-quality software features, gaining exposure to both backend logic and frontend interfaces within the Arkham platform.
• Code Quality & Testing: Help ensure the reliability of our codebase by participating in code reviews and writing automated tests, learning how to maintain a robust production environment.
• System Documentation: Assist in developing and maintaining clear technical documentation for APIs, system architecture, and internal tools to ensure knowledge sharing across the team.
• Bug Fixing & Optimization: Collaborate with senior engineers to identify, troubleshoot, and resolve software defects, learning how to optimize performance and improve user experience.

Software Engineer Intern

Data Scientist

• Lead High-Impact AI Deployments
• Architect and deploy forecasting, optimization, clustering, and anomaly detection models
• Design and productionize Generative AI workflows
• Implement AI Agents that automate analysis and operational decisions
• Establish best practices for model monitoring, retraining, and governance
• Own the First “Aha” Moment
• Within 2–4 weeks, deliver a fully operational AI solution that solves a core business pain point.
• Design End-to-End Solutions
• Define data requirements and modeling strategies
• Guide data pipeline development in collaboration with Analytics Engineers
• Ensure scalability, performance, and robustness of deployed systems
• Act as a Strategic Advisor
• Translate AI capabilities into P&L impact
• Challenge client assumptions and refine problem framing
• Identify adjacent opportunities for optimization and AI expansion
• Influence executive-level decisions with data-driven insights
• Lead Client Adoption & Enablement
• Train technical and business teams on Arkham’s AI capabilities
• Establish feedback loops for continuous improvement
• Drive long-term AI maturity inside client organizations
• Elevate Arkham’s Implementation Standards
• Contribute reusable frameworks and modeling templates
• Improve internal best practices for ML deployment and GenAI integration
• Mentor junior Data Scientists and Analytics Engineers

Senior Data Scientist – Forward Deployed

Product Marketing

• Own Account & Market Intelligence
• Use Arkham to deeply understand target markets and enterprise accounts
• Map stakeholders, budgets, incentives, decision cycles, and operational structures
• Form strong POVs on where Arkham has the highest leverage
• Develop Account-Specific GTM Strategies
• Translate product capabilities into concrete use cases per account
• Tie operational pain points to executive priorities and P&L impact
• Design focused entry strategies with clear expansion paths
• Prepare Customer-Facing Narratives
• Build sharp, account-specific decks
• Craft executive narratives grounded in operational reality
• Frame value with clarity, credibility, and differentiation
• Lead High-Stakes Conversations
• Pitch Arkham to C-level executives and operators
• Own discovery, qualification, and strategic positioning
• Drive alignment across stakeholders
• Own Pipeline Execution
• Ensure every active opportunity has momentum, clear next steps, and ownership
• Maintain high signal-to-noise ratio in qualification
• Close the loop between intelligence and execution
• Own Arkham’s GTM Data & AI Architecture
• Run and continuously improve the data, workflows, and AI systems powering GTM
• Make Arkham itself stronger as a GTM engine over time
• Build compounding intelligence into our commercial motion

Software Engineer Intern

Senior Data Scientist – Forward Deployed

GTM Strategy, Ops