ceo

Job Summary

As the CEO of Girikarnika Technologies, you will be responsible for defining and executing the company's strategic direction, overseeing all aspects of operations, and ensuring that the company remains a leader in data annotation services. You will set the tone for culture, operations, and growth, with accountability for financial performance, client satisfaction, and team excellence.

Key Responsibilities

• Strategic Leadership
• Define and articulate the company's vision, mission, and long-term strategy in the data annotation and AI training data market.
• Identify market opportunities, new service lines, or verticals (e.g., image annotation, text / NLP, video / multimodal, 3D point-cloud, etc.)
• Business Growth & Revenue Generation
• Drive business development, sales, and partnerships to acquire new clients and expand existing accounts.
• Set and monitor financial targets—revenue growth, profitability, margins.
• Explore and lead geographic expansion, if relevant, or diversification of service offerings.
• Operations & Delivery Excellence
• Oversee operational effectiveness: quality of annotation, accuracy, turnaround times, cost management.
• Ensure robust processes for annotation pipelines, quality control, workflows, and reliable delivery.
• Embrace scaling: hiring, infrastructure, technology to support larger volumes while maintaining quality.
• Technology & Innovation
• Stay ahead of technological trends that impact data annotation (automation, semi-automated tools, AI-assisted annotation, active learning, etc.).
• Invest in R&D and system improvements to reduce cost, improve speed, and maintain high accuracy.
• Oversee data privacy, security, and compliance (for example with GDPR, HIPAA, or other regulation depending on geography).
• Team Leadership & Culture
• Build, mentor, and retain a high-performing leadership team (Operations, Quality, Sales/Marketing, Engineering / Tooling, HR, etc.).
• Foster a culture of continuous improvement, ownership, accountability, client centricity, and high quality.
• Promote employee development, training, and maintain morale.
• Financial Management
• Oversee budgeting, financial planning, cost control, and resource allocation.
• Manage risk, cash flow, investments, and capital needs.
• Report financial performance to stakeholders, ensuring transparency.
• Client Relationships & Stakeholder Management
• Serve as the primary face to key clients, partners, investors. Maintain and grow relationships.
• Understand client needs deeply, ensure that service offerings meet or exceed expectations.
• Oversee contracts, SLAs (Service Level Agreements), negotiations.
• Governance, Compliance & Ethics
• Ensure corporate governance practices are followed.
• Oversee legal, regulatory, and compliance issues (data protection, contracts, intellectual property, ethical AI concerns).
• Promote ethical and responsible business practices including fairness, bias mitigation in data sets.

Key Qualifications & Skills

• Proven experience (typically years) in senior leadership roles; ideally in data annotation, AI / ML services, or a related field (outsourcing, BPO, content / data services).
• Strong track record of scaling service-based businesses: operations, quality control, and profitable growth.
• Deep understanding of data annotation workflows, tools, quality metrics, and client expectations.
• Familiarity with AI/ML lifecycles, datasets, and emerging technologies (automation, active learning).
• Strong financial acumen: budgeting, forecasting, P&L, resource allocation.
• Excellent strategic, analytical, and problem solving skills.
• Outstanding communication, negotiation, and stakeholder management capability.
• Leadership skills with capacity to recruit, develop, and motivate teams.
• Strong ethical judgment and commitment to privacy, fairness, and regulatory compliance.
• Educational background: typically a Bachelor's degree in Engineering, Computer Science, Business Administration, or related; MBA or advanced degree preferred.

KPIs / Performance Metrics

To measure success, the CEO will be evaluated on:

MetricExample TargetsRevenue GrowthYear-over-Year growth (e.g %)Profitability / MarginGross margin, Net profit marginOperational MetricsOn-time delivery, annotation accuracy / error ratesClient Retention & SatisfactionRenewal rates, client feedback / NPSEmployee MetricsAttrition, employee engagement, talent retentionInnovation / AutomationPercentage of processes automated, time reduction in annotation cyclesCompliance & QualityZero major compliance issues, data security breaches; quality audit pass rates

Job Type: Full-time

Pay: ₹100, ₹150,000.00 per month

Benefits:

• Flexible schedule

Work Location: Remote