• Lead and mentor a high-performing, collaborative, and distributed team of 5-8 software engineers. • Orchestrate the team's delivery, ensuring quality, alignment, and clear communication. • Guide the team in moving from uncertainty to action through actionable steps. • Empower the team to own their software development lifecycle (SDLC). • Facilitate architectural decisions and promote modern engineering practices.

• Manage the day-to-day activities of one or more software development teams, providing goal setting, mentorship, coaching, leadership, guidance and performance management and feedback. • Collaborate closely with the Product Manager on the team to build the roadmap, flesh out requirements, and ensure the team executes. • Ensure development deliverables are documented and key decisions are recorded in accordance with the design and development process. • Help with hiring initiatives across the engineering department. • Assist in identifying process problems and contribute to the continual enhancement of the design, development processes and system architecture. • Ensure development follows the development process throughout the development lifecycle. • Establish success metrics (KPIs and SLAs) and monitor team and system performance. • Collaborate with the team to meet performance, scalability, and reliability goals. • Stay current with trends, techniques, technology and other factors impacting the job incorporating as deemed necessary. • Other duties as required.

• Own delivery and business outcomes for AI-powered product initiatives, with accountability for ARR impact, adoption, and capital efficiency. • Lead and grow an engineering team with a focus on output, leverage, and sustainable pace, not headcount growth for its own sake. • Partner closely with Product, Finance, and GTM to prioritize work based on revenue potential, customer value, and cost-to-serve. • Drive features that unlock new revenue, expansion, and retention, while improving unit economics. • Guide architectural decisions with a strong bias toward cost-aware scalability, especially for AI workloads (inference, training, data pipelines). • Establish engineering practices that maximize engineering ROI, shorter cycle times, fewer handoffs, and predictable delivery. • Make disciplined tradeoffs to hit market windows while avoiding long-term cost or maintenance drag. • Track and improve key metrics such as cost per feature, infrastructure spend vs. usage, and revenue per engineering dollar. • Stay technically engaged through design reviews and selective hands-on work, especially where cost, risk, or scale are involved. • Build a culture of ownership, accountability, and financial awareness across the team. • Takes on additional responsibilities and projects as needed to support the success of the team and organization.

• Lead other managers and several software development teams, offering recruitment, mentoring, and performance evaluations • Provide visionary leadership to multiple software development teams, setting clear objectives and fostering a culture of collaboration, innovation, and excellence • Develop and implement strategies for software development that align with business needs and long-term plans • Oversee the planning, execution, and delivery of software projects, ensuring they are completed on time, within budget, and to the specified quality standards • Effectively communicate project status, milestones, and any potential roadblocks to stakeholders • Manage and allocate budgets and resources for software development projects, optimizing resource utilization