Accountabilities:

Partner with Product and Engineering leaders to translate strategic priorities and OKRs into actionable execution plans, ensuring alignment with customer and business objectives.
Lead complex, cross-functional initiatives spanning product, infrastructure, platform, and engineering teams, coordinating dependencies and maintaining delivery momentum.
Bring clarity to complex programs by connecting business objectives with execution plans, identifying risks, removing obstacles, and ensuring teams maintain sustainable delivery practices.
Monitor program performance through meaningful delivery and outcome metrics, using data to improve predictability, identify bottlenecks, and support informed decision-making.
Leverage AI-powered tools and analytics to identify emerging risks, generate insights, improve documentation, and recommend opportunities to optimize delivery.
Facilitate collaboration between senior product, design, and engineering stakeholders, ensuring transparent communication, effective prioritization, and shared accountability.
Coach teams in adopting healthy operating rhythms, autonomous ways of working, and data-driven delivery practices.
Contribute to the evolution of program management frameworks, tools, and processes to improve execution consistency and organizational effectiveness.
Promote responsible AI adoption and encourage innovative approaches that enhance collaboration, productivity, and decision-making.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
At least 5 years of experience leading complex software programs in Technical Program Management, Engineering Program Management, or similar roles.
At least 3 years of experience managing multi-team initiatives across product, platform, or infrastructure environments.
Demonstrated experience translating strategic objectives and OKRs into execution plans, managing dependencies, assessing risks, and monitoring delivery performance.
Proven track record delivering complex, large-scale software or SaaS programs involving multiple teams and technical domains, including product, platform, and data.
Strong technical understanding of modern software systems, including system architectures, APIs, and integration patterns, with the ability to participate in technical design discussions.
Proficiency with program and project management tools such as Jira, Confluence, Aha!, or equivalent platforms for planning, tracking dependencies, reporting progress, and maintaining stakeholder visibility.
Strong analytical and systems-thinking skills, with the ability to identify cross-functional dependencies, interpret delivery metrics, anticipate challenges, and drive continuous improvement.
Experience using data and performance indicators to improve delivery predictability, workflow efficiency, and business outcomes.
Familiarity with applied AI concepts and practical experience using AI tools for analysis, documentation, and decision-making.
Understanding of responsible and ethical AI practices within software engineering and technology environments.
Excellent communication and stakeholder management skills, with the ability to adapt messaging to technical teams, product partners, and senior leadership.
Demonstrated ability to influence without direct authority, resolve conflicts, build consensus, and align stakeholders with competing priorities.
Strong ownership mentality, initiative, and adaptability, with the ability to bring structure and momentum to ambiguous or complex situations.
A collaborative and coaching-oriented mindset, with a passion for empowering teams, encouraging autonomy, and improving organizational delivery practices.
Genuine curiosity about emerging technologies and a commitment to using AI and innovation to enhance how organizations collaborate, learn, and execute.

Benefits

Competitive base salary: $153,900–$171,000+ per year, depending on experience, skills, qualifications, and work location.
Additional annual bonus as part of the total compensation package.

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.

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