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TECHNICAL PROJECT MANAGER - PROJECT SUCCESS

Jobgether
Full-timemid€120,000-150,000/year
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Job description

Accountabilities: • Partner closely with engineers, clients, and account leaders to understand technical objectives, clarify project needs, and proactively address execution challenges. • Participate in design-level technical discussions and accurately capture requirements, decisions, dependencies, risks, tradeoffs, priorities, and success criteria. • Help clients define where their data resides, who owns it, how it can be accessed, and which business processes and use cases should be supported by AI. • Track and manage constraints related to data sovereignty, on-premises infrastructure, air-gapped environments, security, compliance, procurement, and regulatory requirements. • Maintain shared visibility into project plans, priorities, deliverables, decisions, dependencies, risks, and overall project status. • Build trusted relationships with stakeholders across engineering, operations, business leadership, and executive teams. • Ensure technical deliverables remain aligned with documented client requirements, priorities, and business objectives. • Identify risks, unresolved decisions, dependencies, and project challenges early, helping teams establish clear paths toward resolution. • Support transitions from implementation into ongoing operations through documentation, technical handoffs, and support planning. • Work with account leaders to identify opportunities for expansion, renewal, and deeper client collaboration. • Share lessons learned, best practices, and reusable delivery approaches across the broader Project Success organization. Requirements • Professional experience partnering with engineering teams in a highly technical, customer-facing environment, such as technical project management, technical program management, consulting, delivery leadership, or a comparable role. • Ability to participate confidently in design-level technical conversations and accurately document requirements, decisions, dependencies, risks, and tradeoffs. • Comfortable working with developer tooling, including reading and commenting on pull requests, writing scripts or lightweight automation, using Git or GitHub, and leveraging AI coding assistants to improve personal productivity. • Experience with Python and SQL is a plus. • Technical breadth across several areas such as cloud or on-premises infrastructure, containers, orchestration, networking, GPU compute, data engineering, data pipelines, enterprise integrations, AI/ML systems, software security, vulnerability management, application delivery, DevOps, or platform operations. • Meaningful technical depth in at least one of the above areas, combined with the curiosity and adaptability to learn unfamiliar technologies quickly. • Strong ability to communicate technical concepts clearly and confidently with engineers, business stakeholders, and executive audiences. • Experience coordinating work across technical teams, clients, account teams, and other business partners. • Proven ability to identify and track technical risks, dependencies, constraints, priorities, and project success criteria. • Comfort operating within enterprise environments involving security reviews, restricted or controlled environments, procurement processes, compliance requirements, and other regulatory constraints. • Excellent written communication, organization, documentation, and stakeholder-management skills. • Curious, adaptable, and comfortable learning new technical concepts in complex and evolving environments. • Bachelor’s degree in engineering, computer science, physics, mathematics, or another related technical discipline. • Experience supporting Fortune 50 or other large enterprise clients is preferred. • Experience in financial services or another highly regulated industry is a plus. • Experience guiding projects from discovery and implementation through operational handoff and ongoing support is preferred. • Consulting or professional-services experience is a plus. • Must be authorized to work in the United States without current or future employer sponsorship. Benefits • Annual salary range of $120,000–$150,000 USD, depending on experience level and location. • Medical, dental, and vision insurance, with 100% of employee premiums covered and 75% of dependent premiums covered. • 401(k) matching. • Unlimited paid time off with a required minimum of 15 days off annually. • Fully remote work setup within the United States. • Up to $3,000 reimbursement for remote-work equipment. • 100% employer-paid disability and life insurance. • HSA and FSA options. • Monthly employer contributions to an HSA. • Opportunity to collaborate with global technical experts and contribute to open-source projects. • Exposure to advanced AI, infrastructure, security, and enterprise technology initiatives. • Opportunities for continued professional growth, learning, and increased responsibility through a structured career framework. • Inclusive and collaborative environment that encourages curiosity, creativity, innovation, ownership, and continuous development. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

Skills

PythonSQLGitGitHubAI coding assistantscloud infrastructureon-premises infrastructurecontainersorchestrationnetworkingGPU computedata engineeringdata pipelinesenterprise integrationsAI/ML systemssoftware securityvulnerability managementapplication deliveryDevOpsplatform operations