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Head of Engineering Productivity & Experience
Высокоуровневая стратегическая роль в быстрорастущей AI-компании с мировым именем. Возможность формировать будущее инженерной культуры и работать с передовыми технологиями (AI-assisted SDLC) делает эту вакансию крайне привлекательной для топ-менеджеров.
Сложность вакансии
Роль уровня Director требует не только глубоких технических знаний в области DevEx и CI/CD, но и способности управлять изменениями в организации из 400 инженеров. Особую сложность представляет задача интеграции AI в жизненный цикл разработки (SDLC) и управление распределенными командами.
Анализ зарплаты
Зарплата для позиции Head of Engineering / Director в Великобритании в технологическом секторе (особенно в AI/FinTech) обычно начинается от £120,000 и может достигать £180,000+ без учета бонусов и опционов. Данная роль в AlphaSense, вероятно, находится в верхнем сегменте рынка из-за высокой ответственности и масштаба компании.
Сопроводительное письмо
I am writing to express my strong interest in the Head of Engineering Productivity & Experience position at AlphaSense. With a robust background in leading developer experience initiatives and a passion for optimizing the software development lifecycle, I am eager to bring my expertise to your global engineering organization of 400+ developers. My experience in building internal developer platforms and driving QA automation aligns perfectly with your mission to bridge AI-driven development and web infrastructure.
In my previous roles, I have successfully implemented AI-assisted tooling and established feedback loops that measurably improved engineering velocity and developer satisfaction. I am particularly drawn to AlphaSense’s commitment to advancing the AI-assisted SDLC, and I am confident in my ability to lead your teams in making AI a practical, everyday accelerator for your engineers. I look forward to the possibility of discussing how my leadership and technical vision can contribute to the continued success of AlphaSense.
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Откликнитесь в alphasense уже сейчас
Присоединяйтесь к AlphaSense, чтобы возглавить трансформацию инженерной культуры и внедрить AI в процессы разработки мирового уровня!
Описание вакансии
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
The Role:
We are looking for a Head of Engineering Productivity & Experience to lead the evolution of how software is built, tested, and delivered at AlphaSense. This is a high-impact, Director-level leadership role shaping developer experience and engineering productivity across our global ~400-engineer organization through platforms, tooling, and engineering practices. The position will initially lead teams of ~13 engineers while defining the operating model and long-term trajectory of the Engineering Productivity domain.
Your mission will be to drive the strategy for a unified platform ecosystem that bridges AI-driven development, Developer Tooling, Web Infrastructure, and QA Automation. You will lead the evolution of platforms that enable high-confidence releases across local development, microfrontend delivery, and automated quality engineering, while shaping a seamless developer-facing CI/CD experience in partnership with SRE and Cloud Platform teams.
A core pillar of this mission is advancing the AI-assisted SDLC. You will define and implement AI-enabled tooling and workflows that measurably improve developer productivity and experience. This includes areas such as AI-assisted code reviews, test generation and coverage expansion, developer documentation, and improving the entire inner-loop development experience. The goal is to ensure AI becomes a practical accelerator in everyday engineering workflows rather than a standalone tool.
While this role is centered on organizational strategy and platform leadership, we value "player-coach" DNA. You should be a technically sharp leader who is comfortable diving into architectural reviews or getting close to the code when necessary to unblock teams or accelerate progress.
We are primarily seeking Director-level candidates, though strong Senior Engineering Managers with a proven track record of scaling DevEx or Platform organizations are also encouraged to apply.
What You’ll Do:
- Lead developer productivity and experience across AlphaSense’s engineering organization
- Drive the evolution of developer productivity tooling, covering inner-loop development workflows
- Define and implement a strategy for AI-driven developer productivity capabilities across SDLC
- Own the developer-facing CI/CD experience, improving build, test, and deployment workflows
- Build and scale QA automation platforms that enable high confidence in software delivery
- Lead and scale web infrastructure and microfrontend delivery, enabling independent releases
- Improve engineering velocity by reducing friction in development, testing, and delivery workflows
- Partner with SRE, Cloud, and Product Engineering teams to improve the software delivery
- Establish metrics and feedback loops to improve developer productivity and experience
Who You Are:
- Several years of engineering leadership in developer productivity and experience
- Strong understanding of the software development lifecycle and modern engineering workflows
- Experience improving CI/CD developer experience
- Experience building or scaling internal developer platforms
- Experience driving test automation and quality engineering practices at scale
- Experience operating in large engineering organizations with distributed teams
- Demonstrated experience building and mentoring high-performing engineering teams
- Experience implementing AI-assisted development tooling
- Ability to lead through influence and collaboration across multiple engineering organizations
- Experience improving engineering metrics such as delivery velocity, cycle time, and CSAT
Nice to have:
- Experience with progressive delivery
- Familiarity with cloud-native architectures and Kubernetes-based platforms
- EST or UK timezone for closer overlap with direct team members
- Familiarity with modern frontend architectures and microfrontend delivery models
You can apply by sending your cover letter and resume through the application form.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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Навыки
- Kubernetes
- CI/CD
- Engineering Management
- Software Development Lifecycle
- Developer Experience
- QA Automation
- Microfrontends
- Cloud Native
- Engineering Productivity
- AI-assisted SDLC
Возможные вопросы на собеседовании
Роль предполагает внедрение AI в процессы разработки. Важно понять, как кандидат оценивает эффективность таких инструментов.
Как вы планируете измерять реальное влияние AI-инструментов (например, автогенерации тестов или кода) на продуктивность инженеров, помимо простых метрик скорости?
Кандидат будет отвечать за внутреннюю платформу. Нужно оценить опыт работы с внутренними заказчиками.
Опишите ваш подход к созданию Internal Developer Platform: как вы балансируете между навязыванием стандартов и предоставлением свободы выбора инструментов командам?
Вакансия упоминает улучшение метрик доставки. Важно знание индустриальных стандартов.
Какие метрики (например, DORA или SPACE) вы считаете наиболее критичными для организации такого масштаба, и как вы будете работать над их улучшением?
Роль требует взаимодействия с SRE и Cloud командами. Проверка навыков кросс-функционального лидерства.
Расскажите о случае, когда вам нужно было внедрить изменения в процессы разработки, которые встретили сопротивление со стороны других отделов. Как вы добились консенсуса?
Позиция подразумевает роль 'player-coach'. Проверка технической экспертизы.
Каковы, по вашему мнению, самые большие узкие места в современных микрофронтенд-архитектурах с точки зрения CI/CD и как их можно нивелировать?
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