Senior Manager, Software Engineering

Jobgether; United States; Hybrid; USD 225,000 - 265,000; Full time

Benefits offered by this job

Competitive base salary

Equity compensation

Bonuses

Hybrid/Remote work

Benefits package

Professional growth

Innovation culture

Job summary

Jobgether is seeking an experienced Engineering Leader in the United States to mentor a high‑caliber team and elevate technical excellence across the platform. You will own end‑to‑end delivery, ensure security and reliability, and drive AI‑driven practices to accelerate delivery.

You will collaborate with Product, Data, and Design to optimize customer activation, engagement, and growth in travel experiences, including flight bookings and partner integrations.

Qualifications

• At least a bachelor's degree in Computer Science, Engineering, or related field; master's preferred.
• 5+ years in software engineering and 5+ years in engineering leadership, delivering complex projects.
• Strong experience with modern tech stacks and cloud platforms; AWS focus is a plus.
• Proven ability to translate business goals into technical strategy and roadmaps.
• Exposure to AI-assisted development tools and AI-first practices.

Responsibilities

• Lead, mentor, and grow a high‑performing engineering team focused on technical excellence.
• Oversee end‑to‑end software delivery from planning to production with quality, security, and reliability.
• Integrate AI-powered tooling and practices into engineering workflows.
• Drive engineering efficiency, automation, and velocity through modern practices.
• Guide initiatives for customer activation, onboarding, and growth in the travel marketplace.

Skills

Leadership

Team management

Scrum/Kanban

Strategic thinking

Communication

Cloud/AWS

Node.js

Ruby on Rails

React

Datadog

AI tools

Education

Bachelor's degree in Computer Science or Engineering

Tools

Node.js

Ruby on Rails

React

AWS/Lambda

Terraform

Datadog

Claude

Cursor

Job description

Accountabilities

• Engineering Leadership: Lead, mentor, and develop a high-performing engineering team, fostering a culture of technical excellence, accountability, ownership, and rapid execution. Raise engineering standards, support professional growth, and empower team members to solve complex technical and marketplace challenges.
• End-to-End Project Delivery: Oversee the complete software development lifecycle, from planning and technical design through implementation, testing, deployment, and continuous improvement. Ensure projects meet business objectives while maintaining high standards of security, scalability, reliability, and code quality.
• AI-Driven Engineering: Integrate AI-powered development tools and practices into engineering workflows to accelerate delivery, improve productivity, and maintain high-quality output. Explore emerging technologies and establish effective practices for using AI throughout the development process.
• Engineering Efficiency and Automation: Apply agile methodologies, intelligent automation, and modern engineering practices to optimize development workflows and increase team velocity. Continuously assess tools, processes, and delivery practices to eliminate bottlenecks and improve execution.
• Customer Activation and Growth: Guide engineering initiatives that improve customer onboarding, reduce time-to-value, strengthen engagement, and encourage broader adoption across the travel marketplace, including flight booking and partner integrations.
• Experimentation and Product Optimization: Collaborate with Product, Data, and Design teams to identify growth opportunities, develop hypotheses, and implement data-driven experiments. Use measurable results and customer insights to refine product experiences and improve engagement and retention.
• Cross-Functional Collaboration: Act as a strategic bridge between engineering and business stakeholders, ensuring alignment on priorities, timelines, and expected outcomes. Translate complex technical concepts into clear, actionable insights for leadership and nontechnical teams.
• Technical Strategy and Scalability: Make sound architectural and technical decisions that support evolving business requirements, long-term platform growth, performance, and observability.
• Performance and Continuous Improvement: Establish clear goals, monitor engineering performance, and encourage a culture of learning and iteration. Identify opportunities to improve team effectiveness, technical outcomes, and delivery predictability.

Requirements

• Professional Experience: At least 5 years of software engineering experience and at least 5 years in engineering management, with a demonstrated record of leading engineering teams and delivering complex software projects.
• Leadership and Team Development: Strong people management skills, with the ability to build high-performing teams, establish accountability, develop talent, and maintain a culture of ownership and continuous improvement.
• Technical Expertise: A solid technical foundation in some or all of the following technologies: Node.js, Ruby on Rails, React, AWS, including Lambda and Terraform, and Datadog.
• AI-First Mindset: Practical experience using AI-assisted development tools, such as Claude and Cursor, to accelerate engineering workflows, improve productivity, and maintain high standards of software quality.
• Software Delivery and Engineering Practices: Strong understanding of the end-to-end software development lifecycle, modern engineering principles, scalable architecture, security, performance optimization, and observability.
• Agile Methodologies: Experience applying agile software development frameworks, including Scrum and Kanban, to manage priorities, coordinate teams, and deliver projects efficiently.
• Strategic and Analytical Thinking: Ability to translate business objectives into technical strategies, manage competing priorities, solve complex problems, and make data-informed decisions.
• Product and Customer Orientation: Understanding of customer activation, engagement, retention, and product adoption, with the ability to collaborate across functions to build intuitive, consumer-grade digital experiences.
• Communication and Collaboration: Excellent communication skills, with the ability to explain technical concepts clearly, influence stakeholders, and align engineering initiatives with broader organizational goals.
• Education: A bachelor's degree in Computer Science, Engineering, or a related field is preferred, with a master's degree considered an advantage. Equivalent professional experience is also accepted.
• Adaptability and Innovation: A proactive, results-driven mindset and the ability to adapt to evolving technologies, embrace experimentation, and continuously improve engineering practices in a fast-moving environment.

Benefits

• Competitive base salary: Annual base pay ranging from $225,000 to $265,000, depending on experience, expertise, and location.
• Equity compensation: Equity grants offered to all employees, providing an opportunity to participate in the company's long-term success.
• Performance-based compensation: Annual bonuses may be available depending on the role and compensation package.
• Flexible work environment: A hybrid-hub model that accommodates different working arrangements, including fully remote positions.
• Workplace support: Access to the resources, tools, and environment needed to perform effectively, whether working remotely or from an office.
• Comprehensive benefits: Access to an employee benefits package, with specific offerings varying according to employment type and location.
• Professional growth: Opportunities to work with talented colleagues, take ownership of impactful engineering initiatives, and advance technical and leadership expertise.
• Innovation-driven culture: An ambitious, collaborative environment that encourages experimentation, AI adoption, continuous learning, and high-impact execution.