NIR-YU

• Design, develop, and maintain scalable features • Write robust unit and integration tests • Participate in peer code reviews • Collaborate across engineering, product, and design teams • Contribute to technical documentation

• Work inside shared systems, direct communication, and frequent feedback • Make the Principal’s life easier, protect his time, reduce friction, and help the Family Office team keep everything moving

• Manage end-to-end accounting activities. • Prepare and review monthly financial statements. • Manage accounts payable, receivable, reconciliations, and invoicing. • Support payroll processing and cash flow forecasting. • Ensure compliance with statutory and client requirements. • Collaborate with clients to resolve financial queries. • Support process transitions and continuous improvement initiatives.

• Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources. • Develop automated ETL pipelines that parse, clean and transform content using LLMs. • Define and maintain database schemas in Supabase or PostgreSQL. • Create evaluation frameworks to measure and compare LLM performance across pipeline components. • Contribute to the design of scalable data architectures using GCP services. • Improve reliability, observability and deployment workflows for scraping and data processing systems.

• Maintain existing React systems, including fixing bugs • Design and develop new custom components to meet project requirements • Install and configure server environments for React deployments • Maintain and update project dependencies as well as fix any conflicts • Working with other developers and software engineers to develop front-end and back-end architecture that’s well-structured and flexible, along with the APIs to support it

• Own and drive key components of the Unity VR client architecture so they generalize across training simulations and, over time, additional client targets, rather than serving a single application. • Build client-side infrastructure that connects to the server according to defined contracts and reflects server-owned state and behavior on the device. • Co-design the client-server API with the backend, defining the data contracts. • Develop tooling that supports content creators and other developers working on the platform. • Use AI coding assistants as part of day-to-day development, and build and maintain the pipelines and validation that make their output reliable. • Make pragmatic architectural decisions and manage technical priorities effectively in a fast-paced, ambiguous startup environment.

• Own the roadmap, requirements, and delivery of assigned AI solutions for equipment dealers (e.g., agentic workflows, predictive insights, recommendation systems, smart ingest). • Translate customer workflows, data constraints, and dealer pain points into clear PRDs, prototypes, and functional specifications. • Partner with Data Science/Engineering to define model behavior, evaluation criteria, guardrails, and acceptance thresholds. • Conduct structured model testing and evaluations (offline evals, human-in-the-loop testing, scenario testing). • Drive iterative prototyping to accelerate alignment and reduce development risk. • Establish and continuously improve AI product management standards for the organization—requirements templates, evaluation frameworks, prototyping practices, red/green testing, and UX patterns. • Mentor PMs and BAs on AI PM fundamentals, including writing prompts/specs, defining success metrics, running evaluations, and designing human-in-the-loop workflows. • Build repeatable launch playbooks for AI features: enablement, customer rollout, feedback loops, and performance monitoring. • Drive alignment across Product, Engineering, UX, Data Science, QA, and Customer teams to ensure timely delivery of AI features. • Collaborate with OEM and dealer partners to validate use cases and ensure data readiness (telematics, inspections, work orders, parts, etc.). • Maintain clear communication streams, ensuring stakeholders understand status, risks, and changes in model behavior or scope. • Serve as a subject-matter partner to leadership on prioritization, technical feasibility, and long-term AI platform strategy. • Ensure delivered models and features meet functional requirements, evaluation thresholds, safety guidelines, and performance KPIs. • Establish feedback loops to track model drift, accuracy, response quality, and user adoption. • Lead post-launch analysis to identify improvements and future opportunities.

• Define and own the product vision, roadmap, and backlog for the CRM migration program • Translate business needs into clear user stories, acceptance criteria, and prioritized backlog • Lead functional design and migration from Veeva CRM to Salesforce Life Sciences Cloud • Ensure data migration integrity, including HCP/HCO master data, interactions, and consent management • Collaborate with Sales, Marketing, Medical Affairs, Patient Services, Compliance, and IT stakeholders • Drive decision-making forums, backlog grooming, sprint planning, and demos • Own Agile ceremonies: sprint planning, backlog refinement, reviews, retrospectives • Ensure timely delivery of high-quality increments aligned with business priorities • Ensure CRM solution adheres to pharma compliance requirements

• Lead a team of Engineers to Support Product Master and Vendor Master day to day tickets, and patching + upgrades • Own architecture across backend services, SQL/data models, and data pipelines • Lead design and delivery of ASP.Net/.Net and REST APIs • Hands on develop solutions using Databricks • Ensure system reliability via monitoring, observability, and performance tuning • Guide team on best practices in backend, data, and distributed systems • Collaborate with stakeholders to align technical solutions with business needs • Improve CI/CD pipelines and cloud infrastructure

• Drive sales and establish partnerships with key retailers in the South East Asia region • Collaborate with various teams to ensure customer satisfaction and revenue growth • Manage product portfolio and provide insights into market trends and consumer preferences • Develop strategies to capture new customers while nurturing existing relationships