Senior Technical Project Manager

Posting Type
Hybrid

Job Overview
Our engineering organization is large, modern, and fast moving, with teams empowered to work in the ways that best fit their domain. As a Senior Technical Project Manager, you'll help connect the dots across these teams, bringing alignment, clarity, and momentum to the initiatives that matter most. This role is ideal for someone who enjoys solving complex problems, partnering deeply with engineering, and shaping outcomes in an environment that values autonomy and collaboration over rigid process.

Job Responsibilities
Job Description and Requirements

• Lead the end-to-end delivery of technical initiatives across Relativity's cloud-based SaaS platform, partnering closely with Engineering, Product, and cross functional stakeholders.
• Collaborate with teams to define clear outcomes, high level scope, key risks, and technical or business impacts.
• Connect work across many engineering groups, each with their own practices, by creating shared understanding and ensuring alignment on goals.
• Bring clarity and structure to complex programs, identifying risks, dependencies, and opportunities early and enabling teams to make informed decisions.
• Build strong, trust-based relationships that help move work forward without relying on formal authority or rigid processes.
• Provide concise, actionable updates to stakeholders and leadership that highlight progress, emerging signals, and recommended next steps.
• Facilitate effective discussions across engineering teams to resolve issues, coordinate dependencies, and maintain momentum.
• Apply a flexible approach to planning and tracking, using lightweight methods that support team autonomy while maintaining visibility at the program level.
• Collaborate with technical partners to understand architecture, system interactions, and technology considerations that impact delivery.
• Identify patterns and friction points across teams and work with partners to streamline workflows and improve overall execution.
• Partner with teams exploring or implementing AI or ML capabilities and stay engaged with emerging technologies relevant to the platform.
• Support the growth of TPM practices by modeling strong judgment, adaptability, and a focus on outcomes over rigid process.
• Contribute to the evolution of the TPM team by exploring and applying AI driven tools and practices that improve how we plan, communicate, track work, and deliver outcomes.

Minimum Qualifications

• 5 to 7 years of experience leading technical projects or programs in cloud, SaaS, or engineering-focused environments.
• Demonstrated ability to partner closely with engineering teams, understand technical context at a systems level, and translate that into actionable plans.
• Experience driving alignment and progress across multiple teams with diverse tools, processes, and delivery styles.
• Strong communication and storytelling skills that simplify complexity for technical and non-technical audiences.
• Proven ability to self-direct, create clarity in evolving contexts, and make progress when data or requirements are incomplete.
• Curiosity about emerging technologies, including practical use of AI-assisted tools for work optimization.

Preferred Qualifications

• Experience with Azure, AWS, GCP, or cloud platform engineering initiatives.
• Exposure to AI or machine learning concepts or hands-on use of AI tools in a professional or personal capacity.
• Background supporting platform, infrastructure, developer tooling, performance, or security-related initiatives.
• Experience coordinating delivery across large, distributed engineering organizations.
• Familiarity with Jira, Confluence, and related work-management tools, including comfort adapting when data quality varies.
• Experience with Jira Advanced Roadmaps, Asana, and/or related PPM tools.
• Relevant certifications such as PMP, PRINCE2, EC-AgilePM, or PMI-ACP.

Leadership Expectations

• Lead with clarity and calm in dynamic environments, making thoughtful decisions even when inputs are incomplete.
• Build trust quickly across Product, Engineering, and leadership by communicating openly, directly, and constructively.
• Influence without authority by forming strong partnerships, aligning goals, and motivating teams toward shared outcomes.
• Demonstrate high judgment in prioritization, sequencing, and navigating competing demands across a large engineering ecosystem.
• Model adaptability by tailoring your delivery approach to the needs of each team rather than relying on rigid structures.
• Help the TPM team evolve through continuous learning, experimentation, and the thoughtful integration of AI into our ways of working.
• Foster an environment where collaboration, curiosity, and candor drive better outcomes.

Core TPM Competencies

• Systems thinking to understand architecture, dependencies, and technical constraints across multiple engineering domains.
• Ability to decompose complex, ambiguous initiatives into clear components and actionable next steps.
• Strong facilitation skills to guide productive discussions, resolve conflicts, and drive decision making.
• High emotional intelligence with the ability to build rapport, surface issues early, and maintain alignment across teams.
• Skill in identifying risks and opportunities proactively and guiding engineering partners toward meaningful mitigation.
• Comfort working across a federated engineering organization where teams choose tools and processes that work best for them.
• Ability to synthesize diverse inputs into a clear narrative that enables leaders to take informed action.

Technical And Delivery Skills

• Familiarity with cloud-based architectures, software delivery pipelines, infrastructure considerations, and platform engineering workflows.
• Strong grounding in Agile principles with the flexibility to adapt practices to fit each team's context.
• Ability to use work-management tools like Jira and Confluence effectively, even when data is inconsistent.
• Skilled at creating lightweight planning, tracking, and communication mechanisms that support transparency without overhead.
• Ability to use AI tools to accelerate analysis, documentation, insights gathering, communication, and decision support.
• Strong analytical abilities to interpret signals, detect trends, and identify delivery risks before they escalate.

Benefit Highlights

• Comprehensive health, dental, and vision plans.
• Parental leave for primary and secondary caregivers.
• Flexible work arrangements.
• Two, week-long company breaks per year.
• Additional time off.
• Long-term incentive program.
• Training investment program.

Disclaimer

• The information contained in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Other duties and responsibilities may be assigned. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

149,000 and 224,000PLN

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Suggested Skills
Budget Management, Change Management, Leadership, Process Improvements, Project Management, Risk Management, Stakeholder Management, Strategic Planning, Team Leadership, Vendor Management