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
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.
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.
Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
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.
Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
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:
- Run the engineering org day-to-day, reporting to the engineering leader. This is a fast-moving train — real timelines, real customers, working software demoed every Friday.
- You own delivery across all squads, the hiring pipeline, and the standards that keep a senior-IC team shipping fast without ceremony.
- This is not a body shop and you don't run it like one: it's a startup environment inside a bigger company, and the plan will change under you — new tech, new priorities, new customer asks.You absorb the change, re-plan in hours not weeks, and keep the train moving.
- Delivery — timelines and quality, both, no trade-off allowed to hide weekly
- Friday demos of working software (show-me culture: if it doesn't run, it didn't happen)
- Tech-lead and squad performance
- Hiring (you personally own the funnel and the bar)
- Translating business requirements into technical scope the squads can build
- Cross-squad dependencies and the engineering operating rhythm ·
- Escalation path for blocked work — you move it, not track it.
- A delivery persona with a show-me mentality.
- You trust demos, not status decks. A self-starter with grit who has run fast trains before and likes winning.
- You've kept the respect of very senior engineers because you're still technically credible in the room.
- You challenge an architecture, and they listen.
- You use AI tools yourself, daily, and expect the org to use them to multiply velocity.
The role:
What you'll own:
Who you are.
What You Will Bring;
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.
Delivery-first track record: shipped on aggressive timelines at a weekly cadence without letting quality slip. You can point to the dates you hit.
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.
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.
Captures business requirements from executives and customers and translates them into technical needs the squads execute — you're the bridge, in both directions.
Change is your default state: you re-plan around shifting tech and priorities quickly and manage the team through it without drama.
Loves hiring. Has a bar and holds it. Can tell an A from a B from a C in 30 minutes.
Drives AI-assisted engineering (Claude Code-class tooling) across the org as a velocity multiplier — and measures the gain.
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