Deltia

Controller

• Develop and own financial forecasting for revenue, expenses, and cash flow from the ground up.
• Create and maintain financial models to support fundraising, strategic decisions, and scaling.
• Implement scalable financial processes and tools (e.g., ERP systems, expense management) tailored to our needs.
• Establish and oversee financial reporting, ensuring accurate and timely monthly, quarterly, and annual statements (P&L, balance sheet, cash flow).
• Manage tax filings, statutory reporting, together with our external accounting firm.
• Define and enforce financial policies for expense approvals, revenue recognition, and fraud prevention.
• Oversee payroll, accounts payable/receivable, vendor payments, and invoicing processes.
• Monitor cash flow, bank reconciliations, and working capital to safeguard financial stability.
• Prepare investor materials, including pitch decks, KPI tracking, and performance reports.
• Support financial due diligence and valuation analysis for fundraising and partnerships.

Senior Finance Controller

Artificial Intelligence

• Train customers on AI-powered improvement. Create training materials and run workshops that teach customers how to use our AI system to optimize their shop floor.
• Analyze operations. Review production data and video insights to spot inefficiencies, bottlenecks, and deviations in assembly processes.
• Generate clear improvement actions. Turn your findings into practical, measurable recommendations for improving customer workflows.
• Drive implementation. Present improvement measures to customers and guide them on how to apply and scale the changes.
• Track results. Monitor the impact of implemented actions and adjust recommendations as needed.
• Be a trusted partner. Build strong relationships with customer teams and support them with Lean and CI best practices.
• Work cross-functionally. Collaborate with engineering, data science, product, and sales to ensure smooth deployments and strong customer outcomes.
• Stay current. Keep up with the latest in Lean, CI, manufacturing, and emerging technologies.

Continuous Improvement Manager – AI Startup

Engineer

• Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)
• Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear
• Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)
• Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date
• Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps
• Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage
• Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency

Onboarding Engineer

Product Manager

• Own the backlog and day-to-day execution: write clear tickets, define acceptance criteria, unblock delivery
• Turn customer problems into actionable requirements and prioritized work packages
• Run discovery in a pragmatic way: clarify workflows, constraints, data realities, edge cases
• Coordinate across engineering, customer-facing teams and stakeholders to ship reliably
• Validate outcomes: ensure what ships works in real customer environments and drives measurable impact
• Maintain documentation/playbooks so knowledge doesn’t live in people’s heads

Senior Finance Controller

Continuous Improvement Manager – AI Startup

Onboarding Engineer

Product Owner