Technical Project Manager

Confidential Company; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Confidential Company is seeking a Technical Project Manager to own end-to-end delivery of complex software and clinical trial technology platforms. You will drive from scoping to release, collaborating with engineering, Product, and Operations to ensure commitments are met.

You will engage with senior leaders, challenge plans when needed, and push for risk-informed, business-aligned decisions. A strong background in modern software delivery, cloud platforms, and DevOps is required.

Qualifications

• 6+ years delivering complex software and technology projects in agile or hybrid environments.
• Experience in companies with roughly 2,000 employees or fewer, ideally private equity-backed.
• Strong understanding of SDLC, system architecture, APIs/integrations, cloud platforms (AWS/Azure/GCP), CI/CD and DevOps, testing and security.
• Business acumen to translate technical constraints into business priorities.
• Delivery track record of consistently delivering on commitments and turning around off-track projects.
• Courageous communication—able to challenge senior leaders with clarity and tact.
• Hunger and ownership with a bias for action over process.
• Bachelor's degree in software engineering, computer science or related field.
• Proficiency with Jira, Confluence and delivery reporting/dashboard tools.

Responsibilities

• Own end-to-end delivery: scope, plan, and execute projects from kickoff through release and adoption.
• Challenge engineering and product: interrogate estimates, designs, scope and status; judge progress and risk.
• Anticipate risks early; mitigate technical, operational, resourcing, and business risks.
• Pressure-test plans to ensure releases align with customer commitments and timelines.
• Drive accountability without formal authority among engineers, leads, and ops partners.
• Resolve conflicts and reset plans by framing trade-offs in business terms.
• Escalate issues with recommended options to senior leadership.
• Measure delivery performance with KPIs and dashboards to drive continuous improvement.
• Lead planning, backlog, sprint and release cadences; remove blockers.
• Stay hands-on to support implementation and accelerate delivery.
• Ensure all projects meet Quality System and regulatory expectations for life sciences software.
• Raise the bar by improving processes and exploring AI-enabled workflows.

Skills

Technical Project Management

Agile / Hybrid environments

Stakeholder management

Problem-solving

Communication

Education

Bachelor's degree in software engineering or computer science

Tools

Jira

Confluence

Delivery dashboards

Job description

We are hiring hungry, high-ownership Technical Project Managers who make sure we do what we say we will do. You will own delivery of complex software and technology initiatives across our eCOA and clinical trial technology platforms, from scoping through release, and be measured by one thing above all: whether we consistently deliver on our commitments to customers and the business.

This is not a status-reporting role. You will bring the technical depth to go toe-to-toe with engineers and architects and the business acumen to challenge Product on scope, value and trade-offs. You will anticipate the risks that derail timelines before they happen, pressure-test plans and estimates, inject productive tension where it is needed, and hold teams accountable without formal authority. When plans break down, you will bring the right leaders together and drive to a go-forward plan quickly.

Success is measured by outcomes, not activity.

What Success Looks Like

• Predictable delivery: Committed scope ships on time, on budget and to quality, release after release, and missed commitments become the exception rather than the norm.
• No surprises: Risks, dependencies and slippage are surfaced early, with options and a clear recommendation, never discovered at the deadline.
• Plans that hold up: Estimates and plans have been challenged and stress-tested before commitments are made to customers or leadership.
• Visible accountability: Every commitment has a clear owner, and engineering, Product and Operations leaders know exactly where they stand against it.

Key Accountabilities

• Own delivery end to end: Scope, plan and execute projects against agreed scope, contractual commitments, budget and quality, from kickoff through release and adoption.
• Challenge engineering and product: Interrogate estimates, designs, scope and status updates. Understand the architecture, dependencies and trade-offs well enough to judge progress and risk independently and push back when plans are not credible.
• Anticipate risk before it hits: Proactively identify technical, operational, resourcing and business risks, from deployment dependencies and security or validation gaps to capacity constraints and scope creep, and drive mitigation before they derail timelines.
• Pressure-test plans: Validate dependencies between technical deliverables and business objectives so that releases align with customer commitments, study timelines, operational readiness and financial targets.
• Drive accountability without authority: Hold engineers, technical leads, Product Managers and Operations partners rigorously accountable to specs, requirements and commitments, including making sure work is ready before it starts.
• Resolve conflict and reset plans: When plans break down or priorities collide, bring leaders together, frame the trade-offs in business terms, broker pragmatic decisions and land a go-forward plan quickly.
• Escalate with a recommendation: Raise issues early to senior leadership with clear options, impact and a recommended path, never just a problem.
• Measure what matters: Define and track delivery KPIs and dashboards (predictability, cycle time, scope change, quality, budget) and use them to drive decisions and continuous improvement.
• Run a tight operating cadence: Lead planning, backlog, sprint and release cadences, remove blockers fast and eliminate process waste between Product planning and technical execution.
• Stay hands-on: Get into the technical details, support implementation and provide hands-on technical assistance where it accelerates delivery.
• Quality and compliance: Ensure all projects follow the company's Quality System and meet applicable regulatory expectations for life sciences software.
• Raise the bar: Champion a “find a way” mindset and contribute to improving delivery processes, practices and tooling, including AI-enabled ways of working.
• Other responsibilities as assigned.

Requirements

• Experience: 6+ years of technical experience, including a proven track record delivering complex software and technology projects in agile or hybrid environments, ideally at a software or SaaS company.
• Company background: Meaningful experience in companies of roughly 2,000 employees or fewer, ideally private equity-backed, where pace, accountability and doing more with less are part of the culture.
• Technical fluency: Strong, hands-on understanding of the software development lifecycle, system architecture, APIs and integrations, cloud platforms (AWS/Azure/GCP), CI/CD and DevOps toolchains, testing and security practices. Credible enough to challenge engineers on their own terms.
• Business acumen: Understands product management, customer commitments, operational scaling and budgets, and can translate between technical constraints and business priorities.
• Delivery track record: Demonstrable history of consistently delivering on commitments and turning around projects that were off track. Be ready to share specific examples and results.
• Courageous communication: Comfortable creating productive tension, challenging senior engineering and product leaders, and delivering difficult messages clearly while keeping strong working relationships.
• Hunger and ownership: A relentless, "in the trenches" drive to get things done, high personal standards, and a bias for action over process for its own sake.
• Education: Bachelor's degree in software engineering, computer science or a related technical field, or equivalent practical experience.
• Tools: Proficiency with Jira, Confluence and delivery reporting/dashboard tools.

Nice to Have

• Experience in high-growth or transformation environments (e.g., post-acquisition integration, value-creation plans, rapid scaling).
• Exposure to AI/ML, data platforms or AI-assisted engineering and testing practices.
• Experience working with globally distributed engineering teams across multiple time zones.
• Relevant certifications (PMP, CSM/SAFe, cloud), though demonstrated results matter more.