Top Tech Jobs & Startup Jobs

Supports responsible AI governance by developing frameworks, conducting risk and impact assessments, evaluating fairness and transparency, monitoring regulatory requirements, maintaining compliance documentation, educating stakeholders, and improving AI oversight processes. Collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI deployment.

Supports the day-to-day operation, monitoring, reporting, governance, and continuous improvement of AI-powered platforms. Analyzes performance metrics, identifies operational issues and optimization opportunities, develops dashboards and reports, maintains procedures and documentation, and coordinates issue resolution across AI engineers, product teams, operations leaders, and business stakeholders. The role also supports AI adoption, compliance, risk mitigation, and operational standards.

Actively manage a diversified multi-asset portfolio across equities, fixed income, and options. Design, test, and implement quantitative and discretionary trading strategies; monitor market and macroeconomic conditions; conduct modeling, backtesting, and performance attribution; manage allocation, liquidity, exposure, execution quality, and risk. Prepare investment reports and collaborate with analysts, traders, and senior stakeholders to refine strategies.

Oversee daily BPO operations, service delivery, SLAs, performance metrics, workforce efficiency, budgets, compliance, and client alignment. Lead and develop managers and supervisors, implement process improvements, drive employee engagement, and manage transformation initiatives. The role requires extensive BPO operations leadership, strong analytical and decision-making abilities, experience managing large teams, and proficiency with workforce management, reporting, CRM, and call center technologies.

Lead business development strategy, market expansion, regional sales, lead generation, pipeline management, client engagement, proposals, contract negotiations, and market intelligence. Build strategic partnerships, generate revenue, mentor business development teams, and drive growth in B2B and infrastructure sectors.

Manage and optimize infrastructure supporting AI and machine learning systems, including cloud environments, GPU/CPU clusters, model deployment, data pipelines, security, monitoring, troubleshooting, automation, and CI/CD. The role develops scripts, maintains documentation, supports AI teams, and improves system reliability and scalability. Candidates need a relevant bachelor's degree, at least two years of systems administration or infrastructure experience, cloud and containerization expertise, scripting skills, and familiarity with machine learning frameworks and deployment pipelines.

Leads the strategy, design, implementation, and optimization of AI-driven workflow automation across the organization. Identifies automation opportunities, manages cross-functional initiatives, establishes governance, and measures business outcomes through KPIs and reporting. The role also evaluates emerging AI technologies, supports workflow architecture, develops business cases and ROI assessments, and drives continuous improvement, adoption, and organizational transformation.

Develops new business by prospecting, building C-suite relationships, presenting customer experience and research services, assessing client needs, creating proposals, and closing complex consultative sales. Collaborates internally on tailored, profitable programs and monitors competitive trends. The role requires 5–7 years of outside sales experience, industry-specific service sales expertise, quota success, strong communication skills, and frequent overnight travel.

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Leads BPO sales strategy, enterprise client acquisition, relationship management, solution development, market expansion, and sales team development. Oversees KPIs, budgets, pipeline and revenue performance while collaborating with delivery, operations, and marketing teams. Represents the company at industry events and builds C-suite partnerships. Requires extensive travel and expertise selling complex outsourcing solutions through long sales cycles.