Top Tech Jobs & Startup Jobs

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Leads the architecture, development, deployment, governance, and optimization of enterprise Generative AI solutions. Builds applications using LLMs and foundation models, develops prompt engineering frameworks, improves model performance, and integrates AI into complex business systems. Partners with business and technology leaders on AI strategy, risk management, and roadmap planning. Mentors engineers, evaluates emerging technologies, and leads proofs of concept and innovation initiatives.

Leads the architecture, development, optimization, deployment, and governance of enterprise-scale machine learning systems. Responsibilities include model lifecycle management, MLOps, data quality, feature engineering, monitoring, responsible AI, compliance, technical strategy, innovation initiatives, and mentoring engineering teams.

Performs accounting operations including accounts receivable, invoicing, journal entries, accounts payable transactions, bank and account reconciliations, month-end closing, and financial record adjustments. Maintains accurate accounting information and supports departmental activities while following established controls and accounting principles.

Manage and optimize AI/ML infrastructure, including cloud environments, GPU/CPU clusters, model deployment pipelines, security configurations, monitoring, troubleshooting, automation, and CI/CD. Develop scripts, maintain documentation, support AI teams, and implement improvements for system reliability, scalability, and performance.

Maintains accurate financial records by recording journal entries, bank transactions, accounts payable bills, and credit card transactions. Performs month-end closing, bank reconciliations, and investigates and corrects accounting discrepancies. Provides accounting support to colleagues while working independently in a fast-paced office environment. The role requires attention to detail, organization, communication skills, QuickBooks knowledge, and successful completion of background and drug screenings.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business objectives and customer needs into product requirements, success metrics, and business cases. Partner with engineering, AI, operations, leadership, and customers to manage product lifecycles, adoption, ROI, governance, compliance, and responsible AI practices.

Labels, categorizes, validates, and reviews structured and unstructured data used to train AI and machine learning models. Maintains dataset accuracy, consistency, documentation, and version control; performs quality checks; identifies annotation errors; and collaborates with AI engineers, data scientists, and quality teams. The role also supports annotation guideline development, workflow improvement, calibration exercises, and ongoing dataset maintenance.

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, vector search, semantic retrieval, LLM integrations, scalable APIs, evaluation frameworks, governance controls, monitoring, troubleshooting, and performance optimization. The role provides technical leadership, mentors engineers, evaluates emerging technologies, and supports enterprise AI strategy and deployments.

Own AI product backlogs, priorities, user stories, acceptance criteria, and delivery outcomes. Translate business needs into product requirements, collaborate with technical teams on solution design, facilitate stakeholder communication, support Agile delivery, and monitor product performance and adoption. The role also identifies AI-driven improvements, supports product releases, drives continuous improvement, and promotes responsible AI practices.