? Urgent Hiring | Strategic Project Lead – Software Engineering

Urgent Requirement

: Strategic Project Lead – Software Engineering

Position Details

Job Title: Strategic Project Lead – Software Engineering

Total Positions: 10

Experience Required: 10+ years of overall experience, including at least 8 years of relevant experience

Engagement Type: Short-Term Contract (3 Months)

Location: Remote

Working Hours: 6:30 PM – 2:30 AM IST

Availability: Minimum 8 hours per day and 40 hours per week, with at least 4 hours of overlap with Pacific Standard Time (PST)

Joining: Immediate

LinkedIn Profile: Mandatory; candidates must include their LinkedIn profile URL in their resume.

Role Overview

We are looking for an experienced Strategic Project Lead – Software Engineering to manage and scale complex software engineering programs supporting AI research and production systems.

The ideal candidate will combine strong technical understanding, program management expertise, analytical thinking, and operational leadership to ensure the successful delivery of high-quality technical work at scale.

The role involves translating complex research requirements into structured workflows, managing distributed engineering teams, improving productivity and quality, and ensuring delivery within defined timelines and budgets.

Candidates must be comfortable reviewing code, understanding test suites, analyzing quality metrics, and identifying opportunities to improve technical workflows and operational performance.

Key Responsibilities

1. Program and Project Management

Own end-to-end program delivery, including scope, timelines, quality, throughput, contributor performance, and costs. Translate complex research requirements into actionable project plans and execution strategies.

Monitor project progress, identify risks, and implement corrective actions to ensure successful delivery.

Establish scalable workflows to support evolving software engineering and AI research requirements.

1. Technical Operations and Workflow Optimization

Design and manage workflows for coding datasets, repository-level tasks, agentic trajectories, reinforcement learning environments, benchmarks, and rubric-based evaluations. Identify operational bottlenecks and optimize workflows through improved instructions, task sequencing, review processes, incentives, and capacity planning.

Evaluate technical processes and challenge requirements or evaluation criteria that may not produce the intended outcomes.

Develop reusable playbooks, quality controls, evaluation assets, and contributor management systems.

1. Team Leadership and Contributor Management

Manage and coordinate distributed software engineering teams and contributor networks. Partner with talent teams to source, assess, onboard, train, and ramp up software engineering contributors.

Build and manage team-lead and reviewer structures for large-scale programs involving 100–1,000+ contributors.

Monitor contributor productivity, performance, and quality while ensuring delivery targets are met.

Mentor team members and share operational best practices across programs.

1. Quality Assurance and Performance Analytics

Establish quality-control processes to ensure the accuracy, consistency, and reliability of technical deliverables. Analyze datasets, test results, and quality metrics to identify recurring errors and underlying issues.

Define meaningful performance indicators to measure quality, throughput, productivity, and operational efficiency.

Use Python, SQL, or similar tools to automate quality sampling, defect analysis, throughput reporting, and operational reviews.

1. Client and Stakeholder Management

Serve as the primary point of contact for AI research laboratories and other stakeholders. Communicate project progress, delivery risks, quality trends, and recovery plans.

Manage stakeholder expectations and build strong, long-term client relationships.

Translate research objectives into practical task specifications and ensure alignment between technical requirements and operational execution.

Required Skills and Qualifications

10+ years of overall professional experience, including at least 8 years of relevant experience in program management, software engineering, technical project management, consulting, operations, or related fields.

Proven experience leading complex, multi-stakeholder programs and managing end-to-end delivery.

Strong analytical and problem-solving skills, with the ability to identify bottlenecks, define performance metrics,



and improve production outcomes.

Experience managing distributed teams, contributor networks, marketplaces, or large-scale technical operations.

Strong customer-facing communication, stakeholder management, and risk management skills.

Ability to read and review code, understand test suites, and independently assess technical deliverables.

Working knowledge of at least one programming language, such as Python, TypeScript, Java, or Go.

Experience using Python, SQL, or similar tools for operational analytics, quality monitoring, and reporting.

Ability to manage multiple priorities in a fast-paced environment with changing technical and research requirements.

Strong organizational skills and a results-oriented approach to program execution.

Preferred Experience

Experience supporting AI research, machine learning, or software engineering data programs.

Familiarity with coding datasets, agentic workflows, reinforcement learning environments, benchmarks, and rubric-based evaluations.

Experience managing large-scale technical teams, including team leads, reviewers, and distributed contributors.

Experience developing quality assurance frameworks, evaluation systems, and scalable operational processes.

Previous experience working with AI laboratories, research organizations, or technology-driven companies.

Working Schedule and Availability

Working Hours: 6:30 PM – 2:30 AM IST.

Minimum Commitment: 8 hours per day and 40 hours per week.

Time-Zone Overlap: At least 4 hours of overlap with PST.

Joining: Immediate availability is required.

Compensation and Contract Duration

Contract Duration: 3 months.

Positions Available: 10.

Employment Type: Short-term contract.

Candidate Evaluation Process

Candidates will go through the following assessment stages:

AI Interview: Initial evaluation of the candidate's experience, skills, and suitability for the role.

Delivery Interview: Further assessment of program leadership, technical understanding, operational execution, analytical ability, and stakeholder management.

Application Instructions

Interested candidates must complete the Interest Check Form and ensure that their LinkedIn profile URL is included in their resume.

10 Openings | Immediate Joiners | 3-Month Contract | 100% Remote

We are looking for experienced Strategic Project Leads – Software Engineering to manage complex software engineering programs supporting AI research, technical evaluation, and production systems.

This opportunity is ideal for senior professionals with robust expertise in program management, software engineering operations, technical project delivery, distributed team leadership, and operational analytics .

? Position Details

- Role: Strategic Project Lead – Software Engineering
- Openings: 10
- Experience: 10+ years overall, including at least 8 years of relevant experience
- Engagement: Short-term contract – 3 months
- Work Mode: 100% Remote
- Working Hours: 6:30 PM – 2:30 AM IST
- Commitment: 8 hours per day / 40 hours per week
- Time-Zone Overlap: Minimum 4 hours with Pacific Standard Time (PST)
- Joining: Immediate
- LinkedIn Profile: Mandatory; LinkedIn URL must be included in the resume

Role Overview As a Strategic Project Lead, you will drive end-to-end execution of complex technical programs, translating research objectives into structured workflows, measurable delivery plans, and high-quality engineering outcomes.

You will collaborate with software engineers, technical reviewers, AI research teams, talent teams, and client stakeholders to scale distributed technical operations, improve productivity, establish quality controls, and deliver results within defined timelines and budgets.

The ideal candidate combines technical understanding, program leadership, analytical problem-solving, and solid stakeholder management skills .

Key Responsibilities

1. Program & Project Management

- Own end-to-end program delivery, including scope, timelines, quality, productivity, and costs.
- Translate complex technical and research requirements into actionable project plans.
- Monitor delivery progress, manage risks, and implement corrective actions.




- Establish scalable workflows to support evolving software engineering and AI research programs.

2. Technical Operations & Workflow Optimization

- Design and optimize workflows for coding datasets, repository-level tasks, agentic workflows, reinforcement learning environments, benchmarks, and technical evaluations.
- Identify bottlenecks and improve task sequencing, review processes, instructions, capacity planning, and operational efficiency.
- Develop reusable playbooks, quality controls, evaluation frameworks, and contributor management processes.
- Evaluate technical requirements and recommend improvements to achieve intended outcomes.

3. Team Leadership & Contributor Management

- Lead distributed software engineering teams and technical contributor networks.
- Collaborate with talent acquisition teams to source, assess, onboard, and ramp up technical contributors.
- Establish team-lead and reviewer structures for large-scale programs involving 100–1,000+ contributors.
- Monitor productivity, performance, and quality against defined delivery targets.
- Mentor team members and promote operational best practices.

4. Quality Assurance & Performance Analytics

- Establish quality assurance processes for accurate, consistent, and reliable technical deliverables.
- Analyze datasets, test results, and quality metrics to identify recurring defects and improvement opportunities.
- Define KPIs for quality, throughput, productivity, and operational efficiency.
- Use Python, SQL, or similar tools for quality sampling, defect analysis, throughput reporting, and operational reviews.
- Review code, understand test suites, and assess technical deliverables.

5. Client & Stakeholder Management

- Act as a primary point of contact for AI research laboratories and other stakeholders.
- Communicate project status, delivery risks, quality trends, and recovery plans.
- Translate research objectives into clear technical task specifications.
- Manage stakeholder expectations and ensure alignment between technical requirements and operational execution.

Mandatory Skills & Qualifications
- 10+ years of overall professional experience, including at least 8 years of relevant experience in program management, technical project management, software engineering, consulting, technical operations, or related fields.
- Proven experience managing complex programs and end-to-end technical delivery.
- Strong experience leading distributed teams, contributor networks, or large-scale technical operations.
- Ability to read and review code, understand test suites, and independently assess technical deliverables.
- Working knowledge of at least one programming language: Python, TypeScript, Java, or Go .
- Experience using Python, SQL, or similar tools for operational analytics, quality monitoring, and reporting.
- Strong analytical, problem-solving, and process-optimization skills.
- Experience with stakeholder communication, risk management, and customer-facing delivery.
- Excellent organizational skills and the ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications
- Experience supporting AI research, machine learning, or software engineering data programs.
- Familiarity with coding datasets, agentic workflows, reinforcement learning environments, benchmarks, and rubric-based evaluations.
- Experience managing large technical programs involving team leads, reviewers, and distributed contributors.
- Experience building quality assurance frameworks, evaluation systems, and scalable operational processes.
- Previous experience working with AI laboratories, research organizations, or technology-driven companies.

Availability & Commitment Candidates must be able to meet the following requirements:
- Join immediately.
- Commit to 8 hours daily and 40 hours weekly.
- Work from 6:30 PM to 2:30 AM IST.
- Maintain at least 4 hours of overlap with PST.
- Commit to the full 3-month contract.
- Be based in one of the eligible countries listed above.

Interview Process
1. AI Interview: Initial assessment of experience, technical understanding, and role suitability.
2. Delivery Interview: Evaluation of program leadership, technical judgment, operational execution, analytical skills, and stakeholder management.

URL is included in their resume . ? Please apply only if you meet the experience, technical, availability, and location requirements.

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📌 Strategic Project Lead – Software Engineering (India)
🏢 Philodesign Technologies
📍 India