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Open nowPosted 310 days ago

Tech lead - Eth

Scrabble

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Your applicationOpen nowTech lead - EthScrabble

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 310 days ago

The posting

Program Manager

Company Overview

(Not specified)

Job Summary

The Tech lead will serve as the primary client interface, overseeing strategic program execution, resource management, and quality assurance. This role is vital in ensuring the alignment of project objectives with client needs and operational capabilities.

Responsibilities

- Client Communication & Program Strategy

  • Serve as the primary client interface, ensuring transparent, timely, and professional communication.
  • Translate complex client objectives into clear, actionable internal goals.
  • Identify, communicate, and proactively mitigate operational risks (e.g., platform issues, quality dips, or delays).
  • Design and implement ramp-up/ramp-down strategies, aligning delivery throughput with client pipelines and evolving priorities.
  • Lead crisis management and real-time operational decision-making during high-pressure scenarios.

- Resource & Team Management

  • Plan, allocate, and manage technical resources based on skill alignment and project requirements (e.g., Python, C++, Java).
  • Maintain accurate project-wise allocation logs to ensure balanced workloads and prevent resource conflicts.
  • Conduct regular performance reviews for Quality Leads (QLs) and Taskers, ensuring accountability and continuous improvement.
  • Identify performance gaps early, initiate mentorship or escalation pathways, and maintain a culture of constructive feedback.
  • Optimize team utilization — ensuring no member is underloaded or overburdened.

- Quality Assurance & Process Governance

  • Own the end-to-end quality feedback loop: Client → Project Lead → QL → Tasker → Revision/Improvement.
  • Oversee Quality Leads’ evaluations to ensure timely reviews, actionable feedback, and fairness in scoring.
  • Approve or overturn QL decisions when required, maintaining final accountability for quality outcomes.
  • Develop and continuously refine Standard Operating Procedures (SOPs) to ensure consistent execution and scalability.
  • Establish and enforce cheating detection and prevention protocols, including LLM misuse and unethical code practices.
  • Uphold the highest standards of AI ethics, compliance, and data integrity across all projects.

- Metrics, Insights & Operational Excellence

  • Monitor and analyze key performance indicators such as Average Quality Metrics (QM), submission rate vs. target throughput, and dispute/feedback trends.
  • Leverage data insights to make strategic operational decisions — from adjusting team composition to improving review efficiency.
  • Detect and address anomalies such as cheating, dual logins, or VPN misuse promptly and fairly.
  • Champion continuous improvement initiatives across delivery, tooling, and workflow efficiency.

Qualifications

- Experience:

- Proven experience in technical program or project management, operations leadership, or delivery management within AI, data services, or technology-driven environments.

- Decision-Making:

- Skilled in data-driven decision-making, balancing metrics with practical judgment.

- Leadership:

- Inspires trust, builds accountable teams, and fosters a culture of transparency and ownership.

- Crisis Management:

- Maintains composure under pressure and ensures calm, rational problem-solving during delivery challenges.

- Integrity & Fairness:

- Enforces standards and accountability while leading with empathy and respect for individual growth.

- Technical Acumen:

- Strong understanding of technical workflows, code evaluation processes, and resource-to-skill mapping.

Preferred Skills

  • Familiarity with LLM-assisted workflows, data annotation systems, or AI model evaluation projects.
  • Experience with Agile or Lean delivery frameworks.
  • Proficiency with project management and analytics tools (e.g., Jira, Asana, Power BI, Google Sheets scripting).
  • Prior experience managing distributed or remote-first technical teams.

Experience

(Not specified)

Environment

(Not specified)

Salary

(Not specified)

Growth Opportunities

(Not specified)

Benefits

(Not specified)

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