DeepL11 дней назад

Senior Engineering Manager | Voice

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Tech Lead / Team Lead · 356 вакансий с указанной зарплатой

5 092половина предложений: 9 708–18 1041,2 млн

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Полная занятостьLondon

Обязанности

01Lead, develop, and grow a small team of senior engineers, owning hiring, performance, and career development.
02Drive end to end delivery of real time voice features from architecture through to production, holding a high bar for quality and pace at the same time.
03Own the technical direction for your team's systems. Stay close enough to the detail to challenge senior engineers credibly and to get into the code yourself when it helps.
04Work in a tight loop with your Principal Product Manager and senior technical lead, shaping what gets built rather than receiving a finished plan.
05Operate confidently at the boundary with applied science. Understand how inference, preprocessing, and training data drift affect the product, and translate between model realities and delivery commitments.
06Make and communicate clear technical trade offs under real constraints, including latency budgets, model quality, and timelines.
07Spot risks and gaps beyond your own remit and fix them properly, leaving the teams around you better off rather than just unblocking yourself.
08Build a high agency, low bureaucracy culture where engineers are trusted to make decisions and take genuine ownership of outcomes.

01You have managed engineers directly and owned a team's delivery, performance, and development. You have hired people, grown them, and handled the difficult conversations as well as the good ones.
02You are a builder. You are comfortable in the trenches, you have real technical skills, and you have no interest in managing from a distance. If your hands on skills are a little rusty, that is fine, as long as you want to stay close to the work.
03You have led teams building product that users touch. Real time systems, streaming, distributed systems at scale, or similar. What matters is that technical depth was the substance of the work rather than a detail in the background.
04You have enough credibility to earn the confidence of senior engineers. You can reason about architecture, spot the failure modes, and add judgment to a technical decision rather than only facilitating it.
05You have a pragmatic working understanding of how ML systems behave in production. Inference, preprocessing, data drift, and what breaks when a model meets real users. You do not need to be an ML specialist.
06You think independently and act without waiting to be asked, and you draw those same instincts out of the people around you.
07You have strong product and commercial instinct. You frame engineering trade offs in terms of user and business outcomes.
08You are comfortable when the direction is still forming and priorities compete.