Top Artificial Intelligence Jobs in Quezon City

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial journeys, use data and feedback to guide decisions, launch features, monitor performance, and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. Balance speed, customer experience, business impact, compliance, and operational complexity while driving execution with high ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define product direction, user problems, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, launch quickly, and continuously improve products while balancing customer experience, business impact, compliance, and operational complexity.

Own product areas for BJAK’s AI Stockbroking and broader financial services. Define user problems, product direction, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own product areas within BJAK’s AI Neobank, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and drive continuous improvements. Balance speed, customer experience, business impact, compliance, and operational complexity while making data-informed decisions with high ownership.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Build and maintain full-stack AI products, integrating LLMs, APIs, databases, and automation platforms. Develop front-end and backend features, debug production systems, create automated tests, improve reliability and usability, scale solutions across markets and teams, measure adoption, and train non-technical users. Collaborate on requirements, sprint planning, architecture reviews, documentation, coding standards, and emerging AI and agent capabilities.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial experiences, ship features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, communication, product judgment, and the ability to make decisions with incomplete information.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use data, feedback, experiments, and production insights to improve products after launch.

Own product areas for BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own product areas across AI investing and financial services, from defining user problems and roadmaps to launching features and improving performance. Collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use metrics and user feedback to guide decisions, manage trade-offs, and drive execution with high ownership.

Rotate across departments to identify and implement AI and automation improvements. Build proofs-of-concept, integrate tools (ChatGPT, Notion AI, n8n, Cursor), automate routine data tasks and dashboards, document improved workflows, report insights, and run internal knowledge-sharing sessions to drive digital transformation.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

Own core platform features and AI-powered personalization across Binance’s main site, including homepage, user center, market pages, onboarding, recommendation strategies, and generative UI. Partner with engineering, design, data, ML, and business teams to define requirements, improve user journeys, increase conversion and engagement, establish success metrics, run experiments, and iterate on user-facing products.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Build and ship AI-powered automation and full-stack features for fulfillment center operations, including dashboards, agentic workflows, multimodal processing, and integrations. Partner with operations to prioritize, deploy, and maintain solutions with observability, guardrails, and adoption support.

Design, document, test, and roll out AI-assisted workflows using Microsoft 365 and Copilot tools. Build SOPs, prompts, and training materials; organize knowledge in SharePoint/Dataverse; collaborate with leadership and external partners; support accounting and project workflows and train staff. Identify automation opportunities and provide ongoing maintenance and improvements.

Lead AI strategy, consulting, advisory, business development, presales, solution design, and client delivery. Identify high-value AI use cases, lead proof-of-concept initiatives, research emerging technologies, develop thought leadership, and support the launch and scaling of AI solutions. Balance strategic leadership with hands-on technical execution while collaborating with data scientists and AI architects to drive client AI adoption.

Operationalize data and AI governance frameworks, implement data quality monitoring, perform root cause analysis, support AI risk/bias assessments, maintain model inventory, advise stakeholders, drive training and continuous improvement for data integrity.

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

Lead identification, prototyping, and deployment of high-impact AI use cases; integrate AI into systems and workflows; drive adoption via training, playbooks, and change management; establish usage guardrails; partner with IT, Sales Ops, and transformation teams to scale AI capability.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Define and track AI feature success metrics, design and analyze experiments (A/B tests), build AI prototypes, explore data to inform product decisions, create dashboards, improve model interpretability and fairness, and collaborate with product and engineering teams to align models with product goals.

Build end-to-end features across React frontends and Django backends, design data models and APIs, craft responsive UIs with MUI, implement algorithmic/AI logic (scoring, ranking, decision rules), optimize performance and caching, and ship pragmatic production-ready code within a small distributed team.

Design, build, deploy, and maintain production-ready AI agents and automation workflows using Claude Code, Python, and automation platforms (n8n/Make). Integrate SaaS via APIs/webhooks, implement observability, optimize performance and costs, and translate business processes into scalable AI systems with human-in-the-loop controls.