Truelogic Software

Artificial Intelligence

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps.
• Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit).
• Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs.
• Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability.
• Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

Forward Deployed AI Consultant – Tech Consulting, Digital Agency

Forward Deployed AI Consultant – Tech Consulting & Digital Agency

Sales Engineer

• Partner with Account Executives throughout the sales cycle
• Lead technical discovery sessions with prospects
• Deliver customized demos aligned to customer use cases
• Design and execute POVs with clear success criteria
• Handle technical objections and security-related questions
• Support RFP/RFI processes and security due diligence
• Build reusable demo assets, templates, and talk tracks
• Collaborate with Product and Engineering teams to share customer feedback
• Ensure smooth handoff to implementation and Customer Success teams

Senior Sales Engineer – Cybersecurity

Forward Deployed AI Consultant – Tech Consulting

Controller

• Responsible for the Monthly Financial Statements
• Lead the month-end close process, including balance sheet reconciliations, reporting requirements, and variance analysis
• Review bi-weekly payroll, journal entries and prepare monthly reconciliations
• Manage the network’s month-end reporting process in compliance with Stagwell global deadlines and guidelines
• Assist in the issuance of timely management reports for CORE Stagwell Functional users
• Assist in treasury functions including day to day banking and cash forecasting
• Utilize ERP to track and maintain key initiatives / projects for all CORE Stagwell functions
• Review and approve monthly reconciliation of all Balance Sheet accounts and certain P&L accounts
• Manage the reconciliation of Intercompany activity with other Stagwell subsidiaries
• Prepare and maintain Corporate allocations for all departments to ensure appropriate chargebacks and billings to Stagwell Brands Manage/Review monthly close entries according to U.S. GAAP (i.e., Accruals, Cash and CC Reconciliations, Amortization/Depreciation)
• Oversee the operations of the accounting department, and work with the central AP, AR, and Billing Teams
• Ensure that accounts receivables and payables are posted with proper coding and paid in a timely manner
• Ensure that subledgers are reconciled monthly
• Assist in treasury functions including day to day banking and cash forecasting
• Assist with the production of the annual budget and quarterly reforecasts
• Calculate variances from the budget and report significant issues to management
• Assist with the preparation of the monthly/quarterly Stagwell reporting package and assist Corporate as needed
• Manage the Internal/External Audits: prepare schedules as assigned and conduct audit research and answer questions
• Own SOX compliance by establishing/maintaining strong accounting controls and practices over financial reporting with the help of Corporate SOX Team
• Monitor and enforce accounting policies and procedures
• Assist with Ad hoc requests as assigned

Assistant Controller – Marketing

Data Scientist

• Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood.
• Develop production-grade RAG and GraphRAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data.
• Write robust data transforms in Databricks (using SQL and PySpark) and author highly performant SQL queries across ClickHouse and PostgreSQL.
• Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest.
• Analyze MLS data to surface actionable market trends and directly feed data-driven product features.
• Design and analyze product experiments utilizing PostHog, and build comprehensive dashboards and analyses within Hex and Metabase.
• Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.

Senior Data Scientist – Real Estate

Financial Planning and Analysis

• Lead incident bridge calls during critical system events, acting as the Incident Commander.
• Coordinate response efforts across IT, infrastructure, application, and vendor teams to minimize downtime and business impact.
• Prioritize rapid service restoration over root cause investigation during active incidents.
• Escalate issues to leadership and key stakeholders as appropriate.
• Drive the Root Cause Analysis (RCA) process for recurring or high-severity incidents.
• Collaborate with third-party vendors when incidents are vendor-related.
• Ensure all incident records and documentation are complete and accurate in the incident management system.
• Prepare executive-level incident reports summarizing key insights, trends, and performance metrics.
• Provide timely, transparent updates throughout the incident lifecycle.
• Identify gaps and inefficiencies in incident management processes.
• Ensure compliance with ITIL processes, audit requirements, and internal standards.
• Participate in on-call rotations, including nights and weekends (1-week rotation; 6 PM – 6 AM PT coverage for major outages).

Senior Incident Manager – Finance

QA Engineer

• Build a deep understanding of our products, users, workflows, data flows, and client needs
• Drive quality outcomes from an end-user, client-impact, and data-integrity perspective
• Apply shift-left quality practices by engaging early with Engineering, Product, Data, and UX to identify risks, clarify requirements, improve testability, and shape validation strategy before implementation
• Define quality expectations, validation approaches, and release readiness signals across the delivery lifecycle
• Validate data across the full lifecycle, from source systems through transformation to final reporting and visualization layers
• Ensure data is correct, complete, fresh, and aligned with business expectations
• Build and maintain scalable automated testing using Playwright, GitHub, GitHub Actions, and TestRail
• Contribute to UI, API, data, and system-level validation strategies
• Use ChatGPT, Claude Code, and similar tools throughout the QA lifecycle to improve test design, accelerate automation, and reduce repeatable manual work
• Identify opportunities to replace manual, repeatable QA tasks with automation, AI-assisted workflows, or agents
• Apply risk-based thinking to triage issues, guide release decisions, and improve confidence in quality signals
• Mentor others on shift-left quality assurance, automation, data validation, and AI-enabled QA practices

Senior QA Engineer – Software

• Build a deep understanding of our products, users, workflows, data flows, and client needs
• Drive quality outcomes from an end-user, client-impact, and data-integrity perspective
• Apply shift-left quality practices by engaging early with Engineering, Product, Data, and UX to identify risks, clarify requirements, improve testability, and shape validation strategy before implementation
• Define quality expectations, validation approaches, and release readiness signals across the delivery lifecycle
• Validate data across the full lifecycle, from source systems through transformation to final reporting and visualization layers
• Ensure data is correct, complete, fresh, and aligned with business expectations
• Build and maintain scalable automated testing using Playwright, GitHub, GitHub Actions, and TestRail
• Contribute to UI, API, data, and system-level validation strategies
• Use ChatGPT, Claude Code, and similar tools throughout the QA lifecycle to improve test design, accelerate automation, and reduce repeatable manual work
• Identify opportunities to replace manual, repeatable QA tasks with automation, AI-assisted workflows, or agents
• Apply risk-based thinking to triage issues, guide release decisions, and improve confidence in quality signals
• Mentor others on shift-left quality assurance, automation, data validation, and AI-enabled QA practices.