About this Director of Engineering role at Ttecdigital
The work:
We’re an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools — automated QA, conversational analytics, knowledge assist, and agentic automation — for the world’s biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that’s been obsessed with customer experience since 1982.
This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don’t just move a metric — you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds.
Who we hire — the DNA
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Self-starters and do-ers with grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals.
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Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly — new tools, new models, new priorities — without drama.
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Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
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AI-native. You work with AI on all levels — you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity.
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Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
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Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
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You consider yourself exceptional — and you like winning. So do we.
No one will have everything in this description. We're looking for well-rounded, smart people who move fast.
What You Will Do:
The role:
What you'll own:
Who you are.
What You Will Bring;
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10+ years engineering leadership in SaaS or platform companies; at least one stint scaling an org from <10 to >30 IC engineers — ideally in a startup or startup-speed environment.
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Delivery-first track record: shipped on aggressive timelines at a weekly cadence without letting quality slip. You can point to the dates you hit.
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Hands-on enough to read Go, Python, and TypeScript and call architecture out in review — you have not stopped being an engineer. High-level engineers respect you because of it.
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Strong working knowledge of the modern AI stack — LLMs, SLMs, RAG, knowledge graphs, agents, fine-tuning/training, eval. Not a researcher, but you can engage on all of it, make build-vs-buy calls, and smell a bad AI design.
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Captures business requirements from executives and customers and translates them into technical needs the squads execute — you're the bridge, in both directions.
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Change is your default state: you re-plan around shifting tech and priorities quickly and manage the team through it without drama.
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Loves hiring. Has a bar and holds it. Can tell an A from a B from a C in 30 minutes.
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Drives AI-assisted engineering (Claude Code-class tooling) across the org as a velocity multiplier — and measures the gain.
