Senior Technical Program Manager

AI Project Manager

About Techjays

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals from leading companies such as Google, Akamai, NetApp, ADP, and Cognizant.

Role Overview

We are seeking a seasoned Project Manager to oversee the successful delivery of complex AI-driven projects. You will be responsible for bridging organizational goals with cross-functional execution, ensuring that our technical teams deliver high-quality solutions on schedule and within budget.

Key Recruitment Details

• Experience Required: 8 + Years (Minimum 6+ years in end-to-end project management)
• Work Location: Coimbatore / Hybrid
• Target Joining Date: (ASAP / Within 30 days)

Must-Have Qualifications

• Proven Execution: 6+ years of experience managing the complete lifecycle of enterprise-grade software projects.
• Agile Expertise: Advanced proficiency in Agile/Scrum methodologies, with a track record of facilitating sprint planning, stand-ups, and retrospectives.
• Technical Proficiency: Mastery of project management tools including Jira, MS Project, or Trello.
• Strategic Planning: Demonstrated experience in resource allocation, risk mitigation, and contingency planning.
• AI Enthusiasm: Experience leveraging AI tools in project management or a demonstrated passion for adopting AI technologies to optimize workflows.
• Stakeholder Management: Exceptional communication skills for managing both internal cross-functional teams and external client relationships.

Roles & Responsibilities

• Project Governance: Plan, execute, and monitor projects to ensure alignment with client expectations and organizational benchmarks.
• Team Leadership: Facilitate high-performing Agile environments, fostering a culture of collaboration, innovation, and technical ownership.
• Risk & Budget Management: Identify potential bottlenecks early, implement mitigation strategies, and manage project budgets to ensure optimal resource utilization.
• Reporting & Transparency: Track project progress using modern metrics, preparing detailed reports and presentations for senior management.
• Continuous Improvement: Analyze project outcomes to implement best practices and drive operational discipline across the engineering organization.
• Mentorship: Elevate team members through active support and guidance, ensuring professional growth within the team.

Success Milestones

Timeline

Expectations

First 30 Days

Audit active project pipelines, establish stakeholder relationships, and assume management of ongoing sprint cycles.

First 60 Days

Optimize resource allocation workflows, streamline cross-team communication, and implement improved risk-tracking mechanisms.

First 90 Days

Achieve >85% sprint commitment completion rate and stabilize project delivery predictability across assigned teams.

What Techjays Offers

• Competitive Compensation: Best-in-class packages structured to reflect experience and impact.
• Health & Wellness: Medical insurance covering self and family up to ₹4 lakhs per person.
• Flexibility: A trust-based time-off policy and a flexible hybrid work model.
• Environment: A casual work culture with a diverse, multicultural team that respects ideas regardless of designation.
• Growth: Meaningful professional development in an innovation-driven culture.

Bachelor’s degree in Engineering, Computer Science, or a related discipline

• 8+ years of experience in project or programme management

• 3+ years of experience delivering AI, Machine Learning, Data, or Analytics programmes

• PMP, Agile, Scrum, or equivalent certification preferred

# Hiring: Technical Project Manager (TPM)

*Location:* Bangalore  

*Experience:* 8–12 years in software delivery, including 4+ years as a Project Manager/Technical Project Manager  

*Qualification:* B.E./B.Tech/MCA  

*Travel:* Occasional client-site visits

### Job Description

We are looking for an experienced Technical Project Manager to manage end-to-end software delivery, lead Agile teams, coordinate with clients, and oversee production releases.

### Key Responsibilities

•⁠ ⁠Manage project scope, timelines, budgets, resources, and deliverables.

•⁠ ⁠Lead Agile/Scrum ceremonies, sprint planning, and backlog management.

•⁠ ⁠Handle client communication, project reporting, risks, and escalations.

•⁠ ⁠Manage production releases, deployments, CI/CD, and rollback plans.

•⁠ ⁠Lead cross-functional teams of 10–30 members across Development, QA, DevOps, and UI.

•⁠ ⁠Ensure quality standards, UAT, and timely project delivery.

### Mandatory Skills

•⁠ ⁠Strong experience in Agile, Scrum, Kanban, and client project delivery.

•⁠ ⁠Technical background in Development or QA.

•⁠ ⁠Hands-on experience with Jira, Confluence, or Azure DevOps.

•⁠ ⁠Knowledge of CI/CD, Git, SDLC, APIs, databases, and AWS/Azure basics.

•⁠ ⁠Experience managing production releases and cross-functional teams.

•⁠ ⁠Excellent communication, leadership, and stakeholder management skills.

### Good to Have

PMP, CSM/PSM, SAFe, or ITIL certifications; experience in cloud, AI, or data projects.

*Interested candidates:* Apply with your updated resume highlighting relevant project management, technical, and team leadership experience.

Role Purpose

The Program Manager is responsible for governing and coordinating multiple customer implementations and support engagements, ensuring successful delivery of IAN products and solutions across customers, teams, and delivery streams.

The role provides portfolio-level oversight across implementation, configuration, integration, quality assurance, data validation, cloud deployment, and support functions while driving delivery excellence, customer satisfaction, operational scalability, and successful business outcomes. The Program Manager works closely with Technical Project Managers, Implementation Architects, Delivery Leads, Product Teams, and Customer Stakeholders to ensure delivery commitments are met.

Key Responsibilities

• Govern and oversee multiple customer implementations and support engagements.
• Manage program-level planning, resource allocation, capacity management, and delivery forecasting.
• Ensure successful delivery of customer commitments, implementation milestones, support obligations, and business outcomes.
• Monitor overall program health, risks, dependencies, budgets, and delivery performance across customers.
• Partner with Technical Project Managers to ensure successful execution of customer implementation projects.
• Work closely with Implementation Architects, Lead Business Analysts, Lead Configurators, Lead Integration, Lead QA, AI & Data Validation Specialists, and Support Delivery Leads to align delivery activities.
• Oversee implementation and adoption of workflow automation solutions leveraging technologies such as n8n, Camunda, Apache Camel, and related orchestration platforms.
• Coordinate environment readiness, deployment planning, release activities, production cutovers, and support transitions.
• Act as the primary escalation point for delivery, support, resource, and customer management issues.
• Drive customer governance meetings, steering committee reviews, executive reporting, and stakeholder communications.
• Track and report implementation progress, delivery performance, resource utilization, risks, and customer satisfaction metrics.
• Ensure smooth transition from implementation to production support and operational ownership.
• Support implementation planning, prioritization, staffing, and delivery optimization initiatives.
• Drive continuous improvement initiatives across delivery, implementation, support, and operational processes.
• Collaborate with Product, Engineering, and Leadership teams to align customer needs with platform capabilities and product roadmap priorities.

Required Skills & Experience

• Bachelor's degree in computer science, Engineering, Information Systems, Business, or related field.
• 18–21 years of experience in technical program management, delivery management, implementation management, or professional services leadership.
• Strong experience in the Property & Casualty (P&C) Insurance domain; Knowledge of Commercial Lines and Specialty Insurance, considered an advantage.
• Experience managing multiple concurrent enterprise software implementations and customer engagements.
• Strong understanding of enterprise software implementation and delivery lifecycles.
• Good understanding of workflow automation platforms, configurable enterprise applications, and implementation-driven delivery models.
• Good understanding of BPMN-based workflow automation, business process orchestration platforms such as Camunda, Flowable, Appian or similar technologies.
• Understanding enterprise integrations, APIs, data migration, and cloud-based solution deployments.
• Understanding of cloud hosting models, environment management, deployment planning, and release coordination across Azure environments.
• Ability to manage delivery dependencies across workflows, integrations, business rules, forms, cloud environments, data validation, and customer onboarding activities.
• Experience managing cross-functional delivery teams comprising Architects, Business Analysts, Configurators, Developers, QA, Data Validation, and Support teams.
• Strong understanding of Agile delivery, release management, customer onboarding, and support transition processes.
• Experience managing customer escalations, delivery risks, budgets, and program dependencies.
• Strong understanding of resource planning, capacity management, utilization tracking, and delivery forecasting.
• Excellent stakeholder management, executive communication, leadership, and decision-making skills.
• Proven experience working with insurance carriers and clients across North America or Europe.

Desired Skills

• Experience with intelligent automation, document processing, AI-enabled solutions, or workflow-driven platforms.
• Experience working with SaaS platforms, InsurTech solutions, or enterprise workflow automation products.

PMP, PgMP, SAFe, PRINCE2, or equivalent program management certification

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

Our mission at Matterway is to eliminate friction in digital processes.

Through real-time automation and decision augmentation, we help users work more efficiently, reduce errors, and achieve better outcomes.

We are looking for a hands-on, client-focused problem solver to join our delivery team. You will work closely with enterprise clients to understand their processes and turn business challenges into intuitive automation and AI solutions.

Working at the intersection of client partnership, process discovery, and solution design, you will create solutions that deliver measurable value. You will also contribute to the evolution of Matterway's automation offering and help shape how agentic AI is applied to the future of work.

As part of our international team across Europe and India, you'll thrive in a fast-paced, startup-like environment where priorities evolve quickly, building trusted client relationships and turning ideas into practical solutions.

Responsibilities

• Own end-to-end delivery of automation & AI solutions for enterprise clients. You are the single point of accountability for deliverables, timelines, budgets and overall project success.
• Analyse business pain points and design intuitive experiences and interfaces that your users will love.
• Create detailed wireframes, mockups, and user stories, and work closely with developers to bring your vision to life.
• Use analytics to measure success after go‑live and ensure your solutions deliver real business impact.
• Build lasting client relationships that drive expansion and referrals.

What we are looking for

• 5+ years in client-facing roles where you've managed complex projects.
• Strong skills in business analysis, UI/UX, and project management.
• An undeniable sense of ownership: you're driven by results, not just tasks.
• Excitement about working in a fast‑paced, startup‑like environment.
• Exceptional written and verbal English. Other languages, especially German, are a plus

Director of Engineering (AI Solutions & Delivery)

About the Role

We are looking for a Director of Engineering to lead engineering execution and delivery across our enterprise AI solutions. This role combines strong engineering leadership with operational discipline, ensuring AI products move from technical design to production with predictable timelines, high quality, and reliable performance.

You will lead Engineering Managers and Tech Leads, oversee multiple engineering teams, and drive delivery excellence across AI-powered applications and platforms. The focus is on execution, technical quality, and organizational accountability, ensuring teams deliver scalable, production-ready AI systems without compromising reliability or engineering standards.

Key Responsibilities

1. Engineering Delivery & Execution

• Own engineering delivery schedules, translating product roadmaps into achievable sprint plans and release milestones.
• Establish measurable delivery targets, aiming for at least 85% on-time delivery across engineering teams.
• Identify and resolve cross-team dependencies, technical bottlenecks, and resource constraints before they affect delivery.
• Drive engineering process improvements across Agile development, CI/CD, automated testing, and release management.
• Monitor delivery metrics, sprint commitments, and release readiness to maintain predictable execution.

2. AI Quality, Evaluation & Governance

• Establish automated AI evaluation pipelines to measure hallucinations, relevance, groundedness, and contextual accuracy before production releases.
• Define quality benchmarks and evaluation criteria for LLM-powered applications and AI-driven workflows.
• Implement safety mechanisms, validation filters, circuit breakers, and human-in-the-loop fallbacks to manage unpredictable AI outputs.
• Oversee RAG pipelines, vector databases, data ingestion, and retrieval mechanisms to maintain accurate, reliable, and compliant context.
• Reduce production AI quality regressions through continuous evaluation, monitoring, and feedback loops.

3. Architecture, Scalability & Reliability

• Oversee the architecture of distributed systems and cloud-native applications to support scalability, availability, and performance.
• Drive reliability targets, including 99.9% uptime and low time-to-first-token (TTFT) latency for applicable AI applications.
• Partner with Staff and Principal Engineers to design resilient systems, including fallback mechanisms for model API failures, timeouts, and rate limits.
• Establish engineering standards for code reviews, observability, automated integration testing, and security compliance.
• Ensure production systems meet defined service-level objectives (SLOs) and performance benchmarks.

4. Engineering Leadership & Team Development

• Lead and develop Engineering Managers and Tech Leads, establishing clear ownership, accountability, and delivery expectations.
• Build a high-performance engineering culture focused on technical excellence, collaboration, and continuous improvement.
• Partner with Talent Acquisition to attract, assess, and hire strong software engineering and AI talent.
• Align engineering resources with business priorities, delivery commitments, and technical requirements.
• Address performance and execution challenges while maintaining team engagement and engineering quality.

Success Metrics: First 90 Days

First 30 Days

• Assess existing engineering workflows, delivery pipelines, and release processes.
• Establish baseline AI evaluation criteria and identify gaps in production quality.
• Take ownership of engineering delivery across teams and align expectations with Engineering Managers and Tech Leads.

First 60 Days

• Implement automated AI evaluation frameworks and establish measurable quality benchmarks.
• Improve cross-team coordination and resolve key delivery dependencies.
• Establish consistent sprint planning, release cadences, and delivery reporting.

First 90 Days

• Achieve at least 85% sprint commitment completion.
• Demonstrate measurable reductions in production AI quality regressions.
• Improve system reliability and stabilize latency against defined performance targets.
• Establish clear accountability and predictable delivery practices across engineering teams.

Qualifications & Requirements

• Experience: 14+ years in software engineering, including at least 5 years managing Engineering Managers or Tech Leads in enterprise or high-growth environments.
• AI/ML Expertise: Hands-on experience delivering AI-powered systems involving LLMs, RAG architectures, vector databases, prompt engineering, or model fine-tuning workflows.
• Engineering Delivery: Proven ability to lead multiple engineering teams and deliver complex technical initiatives from design through production launch.
• System Architecture: Experience with distributed systems, cloud-native backend infrastructure, and scalable APIs across AWS, GCP, or Azure.
• AI Quality & Reliability: Understanding of AI evaluation frameworks, production monitoring, hallucination mitigation, guardrails, and system reliability.
• Delivery Management: Strong experience with Agile methodologies, CI/CD, release planning, and engineering performance metrics.
• Leadership: Ability to establish accountability, manage competing priorities, and deliver against ambitious deadlines without compromising quality or team morale.

What Success Looks Like

The successful candidate will establish predictable engineering delivery, improve the quality and reliability of production AI systems, and build a culture of ownership across engineering teams. They will combine technical judgment with execution-focused leadership to ensure AI solutions are delivered on schedule, operate reliably, and meet enterprise expectations.

If you are passionate about building high-performing engineering teams and delivering enterprise-grade AI solutions at scale, we would like to hear from you.

Senior Project Manager

Experience: 5–7 Years

Location: Trivandrum, Kerala

Hybrid

Contract-to-Hire (C2H)

Role Overview

We are looking for an experienced Senior Project Manager to coordinate IT projects, manage delivery

timelines, track risks and dependencies, and collaborate with stakeholders and distributed teams to

ensure smooth project execution.

Key Responsibilities

• Define and track project scope, deliverables, schedules, resources, and dependencies.

• Maintain project trackers, status reports, risks, issues, and action items.

• Monitor project progress, follow up on commitments, and escalate delivery risks.

• Coordinate offshore teams, stakeholders, and external vendors.

• Facilitate project meetings and ensure timely closure of action items.

• Track defects, technical issues, change rollouts, and post-launch activities.

• Provide regular project updates to stakeholders and leadership.

Must-Have Skills

• 5+ years of IT project coordination or project management experience.

• Strong project planning, scheduling, and dependency tracking skills.

• Experience in risk, issue, defect, and resource management.

• Excellent stakeholder communication and reporting skills.

• Experience coordinating distributed teams and vendors.

• Knowledge of Agile methodologies and lightweight project tracking.

• Strong organizational, problem-solving, and follow-up skills.

• Excellent written and verbal English communication.

• PMP, PRINCE2, or other project management certification.

Good-to-Have Skills

• Experience working with international stakeholders, particularly Canadian teams.

• Exposure to Calgary-based stakeholders and cross-time-zone collaboration.

• Experience coordinating technical change rollouts and post-launch support.

• Relevant degree or equivalent practical experience.

Senior Project Manager

Location: Trivandrum, Kerala

Work Mode: Hybrid

Experience: 5–7 Years

Employment Type: Contract-to-Hire (C2H)

Open Positions: 1

Job Description

We are looking for an experienced Senior Project Manager to coordinate IT projects, manage delivery timelines, track risks and dependencies, and collaborate with stakeholders and distributed teams to ensure smooth project execution.

Key Responsibilities

• Define and track project scope, deliverables, schedules, resources, and dependencies.
• Maintain project trackers, status reports, risk and issue logs, and action items.
• Monitor project progress, follow up on commitments, and escalate delivery risks.
• Coordinate offshore teams, stakeholders, and external vendors.
• Facilitate project meetings and ensure timely closure of action items.
• Track defects, technical issues, change rollouts, and post-launch activities.
• Provide regular project updates to stakeholders and leadership.

Must-Have Skills

• 5+ years of IT project coordination or project management experience.
• Strong project planning, scheduling, and dependency tracking skills.
• Experience in risk, issue, defect, and resource management.
• Excellent stakeholder communication and reporting skills.
• Experience coordinating distributed teams and vendors.
• Knowledge of Agile methodologies and lightweight project tracking.
• Strong organizational, problem-solving, and follow-up skills.
• Excellent written and verbal English communication.
• PMP, PRINCE2, or another project management certification.

Good-to-Have Skills

• Experience working with international stakeholders, particularly Canadian teams.
• Exposure to Calgary-based stakeholders and cross-time-zone collaboration.
• Experience coordinating technical change rollouts and post-launch support.
• Relevant degree or equivalent practical experience.

Senior Project Manager

Location: Mohali, Phase 8B (On-site)

Experience: 4+ Years

Key Responsibilities

• Lead end-to-end execution of multiple software development projects.
• Manage projects based on MEAN, MERN Stack, Python, AI/ML, and Cloud technologies.
• Gather and analyze client requirements and convert them into actionable project plans.
• Define project scope, timelines, milestones, budgets, and resource allocation.
• Coordinate with Developers, QA Engineers, UI/UX Designers, DevOps, and Business Analysts.
• Conduct sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Track project progress using Agile/Scrum methodologies.
• Identify project risks and proactively implement mitigation strategies.
• Ensure timely delivery while maintaining quality standards.
• Manage client communication, project status updates, demos, and stakeholder expectations.
• Review project documentation including BRDs, SRS, user stories, and technical specifications.
• Monitor team productivity and provide mentorship to team members.
• Collaborate with leadership on project planning, process improvements, and delivery excellence.