Senior Technical Project Manager

Company Overview

10Pearls is a global, purpose-driven

AI-Native digital engineering partner

helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has

product engineering and ‎software development

centers in North America, Latin America, Europe, and South Asia. To learn more, visit

<https://10pearls.com>

.

Role

10Pearls is seeking an experienced Senior Technical Project Manager to lead the day-to-day execution of complex software engagements. This role combines strong project delivery expertise, technical fluency, stakeholder management, and AI-enabled delivery practices to ensure predictable, high-quality project outcomes.

The Senior Technical Project Manager will own day-to-day delivery coordination, planning, tracking, reporting, risk management, and operational execution while working under the direction of the Engagement Lead. The ideal candidate will be comfortable engaging in technical discussions with architects and developers, managing multiple workstreams, and using AI-enabled tools to improve delivery efficiency and decision-making.

Responsibilities

Expected to operate using AI-native delivery practices and continuously improve execution through AI-enabled planning, coordination, reporting, analysis, and workflow automation

Delivers end-to-end solutions for clients across multiple disciplines including development, architecture, test, business analysis, and project management knowledge

Takes complete ownership of the project(s) requirements, timelines, quality and team; including proactive communication with onshore and offshore POCs

Carries an attitude of high energy and positivity and ensures the same is dissipated in the project teams

Creates a conducive working environment in the team, helps people bring the best in them by being a supportive leader, polite and firm at the same time in his leadership attitude.

Proactively engages in the understanding of project scope, requirements, and team structure

Manages both large- and small-scale projects; manages multiple work streams in parallel including technical and operational activities

Understands and validates the details of project deliverables as provided by clients and Project Delivery Managers; Identifies, analyzes and closes gaps

Engages with various internal departments and managers to ensure the projects get the required resources, team and infrastructure for a quality delivery

Strong decision-making ability based on his/her judgment of project needs

Remains on the forefront of emerging industry practices and evaluates existing project management processes and drives continuous improvement practices; develops clear, efficient and repeatable processes

Acts as a coach and mentor for PM/APM roles

Lead team with agile mindset by transferring company culture and values to junior resources

Collaborating with all project delivery teams with one team approach

Engages in capability building activities at the organizational level by providing training, experience sharing sessions and process improvement suggestions to peers, colleagues and management

Engages in technical discussions with architects and developers with enough fluency to make informed delivery decisions, review technical approach, and assess feasibility and risk of proposed solutions

Uses AI tools (e.g., Claude, Copilot) to accelerate status reporting, delivery documentation, and risk tracking

Applies AI-assisted planning and forecasting to improve estimation accuracy and surface delivery risk earlier

Uses AI coding assistants to read and understand codebases well enough to participate credibly in technical discussions and make informed delivery decisions

Identifies and champions opportunities to automate repetitive PM work (status reporting, meeting notes, backlog grooming) across the project team

Requirements

• 8+ years of experience in software delivery, including at least 5 years managing software development projects.
• Strong experience managing complex software projects using Agile methodologies, including Scrum and Kanban.
• Proven experience managing multiple workstreams and cross-functional delivery teams.
• Strong understanding of the complete software development lifecycle and modern software delivery practices.
• Sufficient technical fluency to engage effectively with software architects, developers, QA, business analysts, and other technical stakeholders.
• Experience reviewing technical approaches, understanding solution architecture at a high level, and assessing technical feasibility and delivery risks.
• 1–2 years of hands-on software development/coding experience.
• Experience working with AI coding assistants such as GitHub Copilot, Claude, or similar tools.
• Experience implementing AI-enabled project management or delivery workflows.
• Exposure to Spec-Driven Development and AI-assisted software engineering practices.
• Experience working across multidisciplinary teams including Engineering, Architecture, QA, Business Analysis, and Project Management.
• Experience in a technology consulting or digital transformation environment.
• Relevant Agile or Project Management certifications such as PMP, PMI-ACP, CSM, or SAFe.
• Strong stakeholder management and communication skills, including experience working with onshore and offshore stakeholders.
• Strong project planning, estimation, risk management, dependency management, and delivery tracking capabilities.
• Demonstrated ability to take ownership, make sound decisions, and proactively resolve project challenges.
• Experience coaching and mentoring project management professionals and technical team members.
• Practical experience using AI-assisted tools to improve project delivery, productivity, planning, documentation, or reporting.
• Working knowledge of Spec-Driven Development (SDD) and how it can be used alongside AI coding assistants to structure, validate, and de-risk software delivery.
• Strong analytical, organizational, problem-solving, and decision-making skills.
• High level of energy, accountability, adaptability, and professionalism.