Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткая ответственность за важный production-продукт и серьёзные лидерские задачи, но она также сочетает высокую техническую, аналитическую и бизнес-сложность.
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Высокая нагрузка по направлениямОтветственность за продуктРасширенный пакет льготФокус на Adtech
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Software Engineer (MarTech): Leading a cross-functional engineering and data science squad building a unified budgeting platform and model-driven decision products for performance marketing, with an accent on payback-based allocation, CLV estimation, constrained optimization, and production reliability. Focus on guiding technical strategy, validating data and model outputs, and making allocation recommendations under uncertainty across markets, channels, and platforms.
Location: Barcelona, Spain; hybrid schedule with the option to work from home two days per week and work from anywhere for up to three weeks per year.
Company
Glovo is part of hirify.global, a local delivery platform operating in around 65 countries and headquartered in Berlin, Germany.
What you will do
Lead and grow a cross-functional squad of engineers and data scientists across problem framing, production delivery, adoption, coaching, feedback, hiring, and goal setting.
Own the full budgeting lifecycle, from quarterly allocation to daily campaign-level bid and budget decisions.
Develop payback-based allocation models, including CLV estimation and constrained optimization, and consolidate fragmented tools into a single budgeting platform.
Shape technical strategy, architecture, prioritization, reliability, data quality, testing, monitoring, documentation, and reproducibility.
Partner with Product Managers, marketing, finance, analytics, and platform stakeholders to define scope, trade-offs, timelines, and measurable goals.
Make clear recommendations under imperfect measurement and translate modeling and system behavior for non-technical audiences.
Requirements
Strong technical depth in either software engineering or ML/MLOps/data science, with the ability to ramp up quickly on the other area.
Strong backend experience building scalable, reliable production applications used daily, or deep expertise across the ML lifecycle and its tooling ecosystem.
Proven experience leading and mentoring engineers and/or data scientists, growing individuals, and taking accountability for a large-scale production service.
Experience mediating and resolving conflict while acknowledging different perspectives and building shared understanding.
Experience delivering scalable, reliable applications with data science modeling at their centre, where model output is the product.
Comfort with modular design, testing, CI/CD, monitoring, version control, and modern data/ML stacks.
Ability to evaluate business value against technical feasibility, turn complex requirements into deliverable work, and understand relevant business metrics and marketplace optimization.
Experience building new solutions from scratch, setting measurable team goals, and operating proactively without a clearly defined problem statement.
Nice to have
Performance marketing experience covering budget allocation and optimization, bidding, attribution, incrementality, diminishing returns, and cross-channel interactions.
Experience building bidders or budget optimization systems.
Culture & Benefits
Private health insurance, monthly Glovo credit, and Cobee discounts for transportation, food, and kindergarten expenses.
Discounted gym memberships, extra time off, enhanced parental leave, office-based nursery, and online therapy and wellbeing benefits.
Hybrid flexibility with two work-from-home days per week and up to three weeks per year working from anywhere.
Inclusive, diverse, and collaborative environment guided by leadership principles and high standards of craft.
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