TRG Research and Development

Product Manager

• Define and lead the product strategy and roadmap, balancing long-term vision with short-term delivery priorities
• Proactively identify opportunities for innovation, new use cases, and product differentiation based on customer insight, market trends, and emerging technologies
• Conduct competitive analysis and evaluate external products, APIs, or integrations to enhance product capabilities
• Act as a key stakeholder manager, working closely with internal teams, and leadership to align expectations, manage trade-offs, and drive decision-making
• Translate complex customer and operational needs into clear product requirements and priorities
• Partner closely with engineering, sales, and marketing to deliver impactful product features and ensure adoption across different markets
• Use user behavior analysis, feedback, and data to continuously improve product usability, value, and customer satisfaction

Senior Product Manager

Operations

• Manage a global team of Technical Solutions Engineers
• Oversee detection, escalation, and resolution of system incidents
• Proactively monitor systems and identify risks
• Collaborate closely with Customer Success, SRE, Product, and Sales
• Design and optimize workflows and documentation
• Analyze recurring problems and lead initiatives for improvements

Global Operations Manager – Technical Background

Sales

• Build the US public-sector sales motion from scratch, including territory definition, target accounts, and initial pipeline
• Drive market penetration and first wins across federal and state & local law-enforcement agencies
• Lead complex, long-cycle public-sector sales processes, from first contact to deal closure
• Close new business and onboard early US customers for Intellectus, TRG’s intelligence platform
• Develop and refine US-specific value propositions aligned with investigative, intelligence, and law-enforcement use cases
• Establish and manage initial partner and agent relationships in the US market
• Navigate procurement environments typical to the US public sector (direct sales, pilots, evaluations, RFPs, etc.)
• Work closely with product, pre-sales, and leadership to shape the US go-to-market approach
• Build trusted relationships with senior decision-makers in federal and SLED organizations
• Lay the foundation for a scalable, repeatable US sales process over time

Sales Director – Public Sector, Law Enforcement

Financial Planning and Analysis

• Maintain and update monthly financial models (P&L, ARR, KPIs, deferred revenue).
• Ensure data accuracy across entities, currencies, and reporting files.
• Update datasets used for dashboards and management reporting.
• Build and optimize automated Google Sheets reports (ARRAYFORMULA, QUERY, IMPORTRANGE, Apps Script).
• Develop dynamic dashboards for finance, sales, and operations.
• Convert manual reports into automated workflows.
• Manage and improve folder structures, naming conventions, version control, and archiving.
• Maintain corporate templates (reports, trackers, SOPs).
• Record routine accounting entries (prepayments, accruals, expense classifications).
• Organise invoices, receipts, contracts, and financial documents.
• Maintain trackers (AP, AR, vendors, contracts, payments).
• Prepare data for accounting integrations (Xero/QuickBooks/ERP).
• Enter recurring/simple transactions and perform basic reconciliations.
• Maintain clear audit trails and documentation.
• Maintain customer, product, contract, and transaction databases.
• Consolidate and clean data from multiple sources.
• Ensure alignment between Google Sheets, CRM, and finance tools.
• Prepare data for month-end close and internal reviews.
• Assist with variance analysis, KPIs, and financial summaries.
• Support development of new tools, trackers, and dashboards.
• Maintain SOPs related to data handling, reporting, and accounting support.
• Ensure compliance with access rights, naming policies, and version control.

Reporting & Data Operations Specialist – Finance Team

Machine Learning Engineer

• Curate, preprocess, and manage datasets for LLM and classical models training and evaluation.
• Fine-tune LLMs using techniques such as LoRA, QLoRA, or RLHF.
• Design evaluation pipelines and metrics to ensure model accuracy, robustness, and alignment with product goals.
• Integrate fine-tuned LLMs into production systems, supporting iterative improvements.
• Collaborate with cross-functional teams to translate domain knowledge and business requirements into applied AI solutions.

Senior Product Manager

Global Operations Manager – Technical Background

Sales Director – Public Sector, Law Enforcement

Reporting & Data Operations Specialist – Finance Team

AI/ML Engineer – LLMs, Applied AI