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AI Delivery Lead
Высокий балл за работу в перспективной нише ИИ-автоматизации, сильную команду выходцев из Monzo и Google, а также возможность напрямую влиять на продукт и стратегию роста компании.
Сложность вакансии
Роль требует сочетания глубоких технических знаний (API, интеграции, BigQuery) и навыков управления сложными проектами с участием множества стейкхолдеров в условиях неопределенности стартапа.
Анализ зарплаты
Для позиции AI Delivery Lead в Нью-Йорке рыночный диапазон составляет $140,000 – $190,000 в год плюс опционы. Вакансия не указывает точные цифры, но учитывая стадию компании и локацию, предложение должно соответствовать верхним границам рынка для привлечения опытных кадров.
Сопроводительное письмо
I am writing to express my strong interest in the AI Delivery Lead position at Gradient Labs. With a background in managing complex technical integrations and a passion for the transformative power of AI in customer operations, I am eager to help your enterprise customers achieve measurable results through automation. My experience in forward-deployed roles has taught me how to navigate the ambiguity of high-growth environments while maintaining a laser focus on customer success and technical excellence.
I am particularly drawn to Gradient Labs' mission of making exceptional customer service the norm through safe and effective AI agents. Having worked closely with engineering and sales teams in the past, I am confident in my ability to serve as a bridge between technical possibilities and strategic business outcomes. I look forward to the possibility of bringing my expertise in project governance, data analysis, and stakeholder management to your 'small but mighty' team in New York.
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Описание вакансии
AI Delivery Lead
At Gradient Labs, we’re on a mission to make exceptional customer service the norm.
Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes.
We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2-3 days a week.
If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we’d love to hear from you.
🎯 How you’ll make an impact
As an AI Delivery Lead, you’ll be responsible for helping enterprise customers achieve real, measurable results through automation. You’ll scope and lead end-to-end projects that embed our platform deeply into their operations and drive strategic outcomes that matter.
- Own the end-to-end delivery and integration of our AI platform into customer environments, setting the project plan and ensuring a high-quality outcome.
- Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.
- Guide customers in tailoring and optimising our AI agent capabilities to solve unique operational challenges and maximise end-user resolution rates.
- Proactively analyse performance data to track AI effectiveness, drive continuous improvement, and ensure customers realise measurable value (e.g., deflection, quality, CSAT).
- Serve as the primary technical interface for customers during pre-sales, assisting with POCs, legal/security due diligence, and managing the seamless transition from trial to implementation.
- Collaborate closely with internal AI, Engineering, and Sales teams, acting as the "voice of the customer" to provide strategic feedback that shapes the product roadmap.
- Establish scalable, high-quality onboarding and implementation processes that set all customers up for long-term success.
- Manage project risks and governance related to AI deployment, ensuring all solutions meet compliance, security, and responsible AI standards.
💡 What you’ll bring
- Proven Tech Delivery: Experience in forward-deployed, customer-facing roles at high-growth tech companies.
- Results-Driven Ownership: Proven ability to own and deliver complex, multi-stakeholder projects end-to-end.
- Structured Adaptability: Thrives in ambiguity, proactively creating structure and driving clarity where none exists.
- Technical Acumen: Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams.
- Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery…) to surface insights and guide decisions.
- Clear Communication: Communicates clearly and confidently across all audiences,internal and external, including technical teams and senior leadership.
- Customer-Centric: Deeply customer-obsessed, driven by delivering real, measurable business outcomes and value.
- Pragmatic Problem Solver: Entrepreneurial mindset used to find creative, pragmatic solutions balancing goals with feasibility.
Why join Gradient Labs?
This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation.
You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Data Analysis
- Project Management
- Stakeholder Management
- SQL
- BigQuery
- APIs
- AI Implementation
- Integrations
Возможные вопросы на собеседовании
Проверка опыта управления ожиданиями клиентов при внедрении сложных ИИ-решений.
Расскажите о случае, когда проект внедрения столкнулся с серьезными техническими или операционными препятствиями. Как вы управляли ожиданиями клиента?
Оценка способности работать с данными для подтверждения ценности продукта.
Какие метрики вы считаете наиболее критичными для оценки эффективности ИИ-агента в поддержке клиентов и как вы их анализируете?
Проверка навыков взаимодействия между техническими командами и бизнесом.
Как вы транслируете сложные технические ограничения нашей ИИ-платформы клиентам, не являющимся специалистами в этой области?
Оценка опыта работы в роли Forward Deployed Engineer или Delivery Lead.
Опишите ваш процесс проведения 'deep-dive discovery' для определения операционного ландшафта нового корпоративного клиента.
Проверка соответствия культуре стартапа и умения создавать процессы с нуля.
Как вы подходите к созданию масштабируемого процесса онбординга клиентов в условиях, когда продукт быстро меняется?
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