Senior Engineering Manager - Partner Ecosystem

Accountabilities: Lead the evolution and continuous improvement of a world-class supply integration platform, expanding its capabilities and supporting the growth of the third-party partner ecosystem. Define and execute the strategic vision, technical roadmap, and long-term growth strategy in collaboration with cross-functional leadership. Establish the platform's technical and AI strategy, leveraging emerging technologies to improve scalability, efficiency, reliability, and product quality. Build, lead, and develop a high-performing engineering team, providing technical guidance, mentorship, and career development opportunities. Collaborate closely with senior stakeholders across Product, Data Science, and Business Development to align priorities, establish milestones, and deliver strategic initiatives. Work directly with business stakeholders and external technology partners to identify valuable partnerships, oversee high-quality integrations, and ensure ongoing platform performance. Navigate complex organizational dependencies and competing priorities, ensuring effective collaboration and consistent execution across multiple teams. Provide senior technical leadership across multiple projects, balancing innovation, architectural excellence, and business impact. Requirements 12+ years of overall software engineering experience, including at least 5 years of engineering management experience in a fast-paced, high-growth technology environment. Bachelor's, Master's, or PhD degree in Computer Science or a related technical discipline. Proven experience building, architecting, and leading full-stack products and enterprise-scale systems with significant business impact. Strong technical leadership experience, including setting engineering strategy, defining technical direction, and leading complex projects from conception through delivery. Demonstrated ability to work across multiple teams and organizational levels, managing dependencies, resolving competing priorities, and driving strategic alignment. Practical experience applying modern artificial intelligence technologies to products, engineering workflows, and development processes. Experience partnering with Product and Data Science teams to translate business needs into effective technical solutions. Excellent communication, collaboration, and stakeholder management skills, with the ability to influence decision-making and explain complex technical concepts to both technical and non-technical audiences. Strong problem-solving abilities, strategic thinking, and sound judgment when evaluating technical trade-offs. Nice to have: Experience designing and developing external-facing APIs and integrating AI agents into products or platforms. Benefits Competitive base salary: Annual compensation ranging from $248,000 to $310,000 USD , depending on experience, qualifications, transferable skills, and business needs. Additional compensation: Potential eligibility for performance-based bonuses and equity awards. Comprehensive benefits: Access to employee benefits and healthcare coverage. Travel perks: Employee Travel Credits. Remote flexibility: US-based remote working arrangements, with occasional office visits or company offsites as agreed upon with the manager. Inclusive workplace: A commitment to diversity, equal opportunity, and an inclusive working environment. Accessibility support: Reasonable accommodations throughout the recruitment and interview process for candidates with disabilities. Career development: Opportunities to lead strategic engineering initiatives, influence technical direction, and develop high-performing teams.