Director of Engineering

About the Role and Company

TTEC Digital is dedicated to fostering a work environment where employees feel truly valued and supported, recognizing that outstanding customer experience begins with exceptional employee engagement. We are currently looking for a Director of Engineering to join our team in a fully remote, full-time capacity.

Our group operates as an innovation hub within TTEC (NASDAQ: TTEC), focused on crafting the next generation of AI-powered customer experience tools such as automated quality assurance, conversational analytics, knowledge assistance, and agentic automation for leading global brands and their vast user bases. We combine the agility and mindset of an early-stage startup with the scale, reach, and enterprise clientele of a company renowned for its commitment to customer experience since 1982.

Key Responsibilities

• Lead day-to-day operations of the engineering organization, reporting to the head of engineering in a fast-paced environment with tangible deadlines and weekly software deliverables.
• Own end-to-end delivery commitments across multiple squads, manage the hiring pipeline, and establish standards that empower a senior individual contributor team to move swiftly without excessive bureaucracy.
• Adapt rapidly to changing priorities, technologies, and customer requirements, efficiently re-planning to maintain progress and momentum.
• Oversee delivery timelines and product quality to ensure there is no compromise between speed and excellence.
• Ensure regular demonstrations of functional software every week as part of a show-me culture.
• Manage tech leads and squad performances to meet organizational objectives.
• Direct the recruitment process personally, maintaining rigorous hiring standards.
• Translate business objectives from executives and customers into actionable technical scopes for squad execution.
• Coordinate cross-team dependencies and maintain the engineering operational rhythm.
• Act as the escalation point for work blockages, actively resolving issues rather than simply monitoring them.

Candidate Profile

• Highly driven with a delivery-focused and pragmatic mindset: prefers demonstrations of progress over presentations or reports.
• Experienced in leading fast-moving technical teams, with an emphasis on winning and sustained achievement.
• Technically credible and respected by senior engineers, capable of challenging and influencing architectural decisions.
• Proficient with AI technologies, regularly using AI tools to significantly boost productivity.
• Experienced in managing rapid change and uncertainty skillfully, maintaining team morale and adaptability.
• Passionate about recruiting, with the ability to quickly distinguish candidate quality and uphold high hiring standards.

Required Qualifications and Skills

• Minimum of 10 years in engineering leadership, particularly within SaaS or platform companies, including experience scaling teams from about 30 engineers in dynamic or startup-like environments.
• Proven track record of delivering quality software consistently on aggressive, weekly cadence timelines.
• Technical proficiency to understand and review codebases in Go, Python, and TypeScript, maintaining hands-on engineering expertise.
• Strong familiarity with current AI technologies such as large language models (LLMs), small language models (SLMs), retrieval-augmented generation (RAG), knowledge graphs, AI agents, fine-tuning/training processes, and model evaluation—able to make strategic build-versus-buy decisions and identify flawed AI designs.
• Ability to bridge business and technology by converting high-level business needs into clear technical requirements for engineering execution.
• Demonstrated capability to plan and re-plan swiftly around evolving technologies and priorities.
• Experience driving AI-augmented engineering workflows, such as using Claude Code-class tools, and measuring productivity improvements.

Additional Information

As part of our hiring process, we utilize AI-driven tools to assist with reviewing applications and evaluating candidate materials to identify potential inconsistencies or verification flags. These tools support our recruitment team but do not replace human judgment. Final hiring decisions are always made by human evaluators. For further details on data processing in recruitment, please contact us directly.