Head of Engineering | $150K-$180K + remote | High-Growth Contact Center SaaS/AI

Company Description

Are you ready to transform customer service software with AI?!

Our client is a fast-growing contact center SaaS company and has been named a top 10 contact center solution provider. Their platform offers a full suite of unified communications and consumer payment tools along with intelligence-based automation and real-time analytics to reduce operational costs and streamline call center workflows increasing productivity and revenue..

Our client’s solutions are flexible and scalable whether your business is a global enterprise or a startup, their solutions are equipped to handle thousands of users in multiple sites globally and are scalable enough to affordably provide those same high end tools for small and medium-sized businesses.

Benefits:

• Competitive salary and benefits package.
• A collaborative, innovative, and supportive work environment.
• Opportunities for professional growth and leadership development.
• Flexible working hours + remote.
• Access to cutting-edge technologies and projects in the fintech and healthcare sectors.

Job Description

We’re looking for a head of engineering who can balance hands-on execution with strong leadership in both technology and team direction. This role is ideal for someone with a B2B SaaS and startup background—someone who thrives in fast-paced environments, is adaptable, and can deliver scalable solutions from the ground up.

You’ll be leading the technical direction across two key product verticals - Contact Center Solutions and Smart Payment Gateways. These are distinct but complementary domains, and experience in either (or both) industries is highly valued. With the company actively pushing AI adoption across its platforms, you’ll also play a key role in integrating AI-powered capabilities into core products to enhance automation, personalization, and decision-making.

Agile Development:

• Design, build, and scale core platform features while also leading engineering best practices.
• Write production-ready code, make architectural decisions, review pull requests, and troubleshoot complex issues.
• Collaborate closely with product, QA, and DevOps to ensure smooth delivery and alignment with business goals.
• Lead the team in agile methodologies, including managing sprint cycles, backlog grooming, and task prioritization.
• Work closely with the Product team to ensure clear communication of project requirements and timelines.
• Continuously improve the team's agile processes to enhance productivity and morale.

Leadership & Strategy:

• Mentor and support engineering team members while fostering a culture of ownership and innovation.
• Help shape the engineering roadmap in close collaboration with business stakeholders.
• Align technical execution with customer needs and long-term company vision.
• Provide strategic direction for the development team, ensuring alignment with company goals and product vision.
• Drive best practices for code quality, testing, and deployment, ensuring the team adheres to these standards.

AI Development:

• Integrate AI capabilities into SaaS products—such as using APIs or custom-built ML models—to improve features like intelligent routing, predictive analytics, chatbots, fraud detection, and data-driven insights.
• Asses where AI adds the most value and work with cross-functional teams to implement these solutions efficiently.

Qualifications

• 6-10+ years of engineering experience with LAMP stack: PHP 8+ (Laravel framework), MySQL, Linux, and AWS.
• Proven experience in leading and scaling technology teams, ideally in a fast paced environment similar to a startup.
• Demonstrated experience integrating AI and ML capabilities into SaaS products.
• Experience with Python (big bonus), Node, React, Angular, Jquery is a plus but not required.
• Healthcare or FinTecch experience is a plus.
• Deep understanding of version control systems (e.g., Git) and CI/CD pipelines.
• Solid understanding of web application architecture, microservices, and cloud-based solutions.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong understanding of agile methodologies (Scrum/Kanban) and experience leading agile teams.
• Exceptional communication skills with the ability to work effectively across teams, including Product, DevOps, and QA.
• Strong experience in leading cross-functional engineering teams, mentoring engineering talent, and fostering an innovative culture.
• Ability to provide constructive feedback, foster a positive team culture, and guide team members in their career growth.
• Extremely organized and self-sufficient with the ability to work independently in a fast-paced environment with changing requirements.

Additional Information

About SaaS Talent

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Reach out to us at www.saas-talent.com to learn more about how we can help you.

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