Supply Wisdom

Financial Planning and Analysis

• Own FP&A, including annual budgeting, rolling forecasts, long-range planning, and scenario modeling
• Partner with the CFO and executive leadership on growth investments, pricing, headcount, and resource allocation
• Build and maintain revenue, headcount, and cash-flow financial models for fundraising, board presentations, and investor reporting
• Own monthly and quarterly management reporting, KPI dashboards, and variance analysis
• Oversee accounting, including ASC 606 revenue recognition, accounts payable, accounts receivable, reconciliations, and month-end close
• Monitor departmental and company-wide budgets and recommend corrective action
• Advise on contract structuring and deal economics related to revenue and expense recognition
• Lead the annual audit and ensure statutory, tax, and regulatory filings
• Oversee intercompany accounting and financial operations across India, the US, and Ireland
• Build, mentor, and scale the finance team

Director of Finance

Data Scientist

• Take on ambiguous, open-ended problems (e.g. "improve target coverage in this risk domain" or "reduce false positive rate for this classifier") and independently structure an approach, build it, and iterate toward a working solution.
• Design, build, and maintain data pipelines and ML models that identify, detect, and quantify risk intelligence across financial, cyber, operational, ESG, and compliance domains.
• Prepare, clean, and structure large and often messy datasets for modeling, exercising judgment on where automation, direct data integration, or LLM-based approaches each make the most sense.
• Build and continuously refine predictive and classification models (e.g. credibility scoring, urgency/severity classification, entity resolution), evaluating performance against real outcomes and iterating based on data-driven feedback.
• Engage directly with product, engineering, and occasionally customer-facing stakeholders to translate business and methodology questions (e.g. model bias, data confidence, coverage limitations) into clear technical answers and solutions.
• Use Python and standard data science/ML libraries alongside strong database and querying skills to move fluidly from data prep to modeling to production.
• Proactively evaluate and adopt new tools and techniques, including AI-assisted workflows, to accelerate your own delivery rather than defaulting to manual or established methods.
• Document your methodology, code, and data schemas clearly enough that teammates and stakeholders can build on your work.

Account Executive

• Hit or exceed sales quotas across monthly, quarterly, and annual targets by executing a structured, value-based sales process—rigorous qualification, clear ROI and business-case development, and disciplined forecasting
• Leverage deep knowledge of banking and financial services risk, procurement, and compliance functions to map prospect organizations, identify economic buyers, and multi-thread across key buying centers
• Conduct consultative discovery sessions to uncover current-state risk management challenges, maturity gaps, and transformation goals, and translate them into a quantified business case
• Deliver tailored product demos and risk intelligence walkthroughs using domain-specific, financial services use cases (e.g., vendor financial distress, supply chain disruption, ESG compliance risks, etc.)
• Navigate complex enterprise buying cycles involving risk, security, procurement, and legal stakeholders
• Coordinate with internal Subject Matter Experts (SMEs), Solutions Engineering, and Customer Success to build compelling, value-based business cases
• Track all activity within our CRM (HubSpot) and maintain detailed records of opportunity progression, risk use cases, and buyer objections
• Collaborate with the marketing team to refine messaging and campaign feedback for the region

Director of Finance

Data Scientist

Sales Account Executive