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Senior Performance Manager, Paid Search
Отличная вакансия в известном бренде с фокусом на инновации (AI, AEO). Предлагается работа с большими бюджетами, современным стеком данных и опционами компании (equity), что делает предложение очень привлекательным для опытных специалистов.
Сложность вакансии
Высокая сложность обусловлена требованием глубокой экспертизы не только в PPC (7+ лет), но и в автоматизации через скрипты/API, работе с LLM и сложной аналитике (SQL, Snowflake). Роль требует управления сложной структурой кампаний в условиях жестких политик категории Housing.
Анализ зарплаты
Для позиции Senior Performance Manager в Торонто рыночный диапазон составляет 110,000–150,000 CAD. Учитывая, что Opendoor — крупная технологическая компания из США, совокупный доход (включая бонусы и акции) может превышать средние рыночные показатели.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Performance Manager, Paid Search position at Opendoor. With over 7 years of experience managing complex, multi-market Google and Microsoft Ads accounts, I have a proven track record of scaling performance through a combination of modern search best practices and cutting-edge AI automation. My background in implementing value-based bidding and offline conversion imports aligns perfectly with your goal of shifting optimization toward higher-intent primary actions.
In my previous roles, I have successfully led cross-functional initiatives between Paid Search, SEO, and Data Science to build unified query universes and reduce cannibalization. I am particularly excited about Opendoor's focus on LLM-powered workflows and AEO, as I have been actively piloting scripts and LLM tools for keyword expansion and performance summarization. I am confident that my technical fluency in SQL and Snowflake, combined with my rigorous approach to incrementality testing, will allow me to drive measurable and durable growth for your team.
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Описание вакансии
About The Role
We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.
What You’ll Do
Lead the search program end-to-end
- Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.
- Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).
Apply AI to scale performance and quality
- Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.
- Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.
Build a rigorous testing framework
- Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.
- Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.
Elevate measurement and signal quality
- Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.
- Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC
- Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.
Drive geo precision and market governance
- Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.
Orchestrate SEO/AEO/Social Search convergence
- Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.
- Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.
Cross-functional and partner leadership
- Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.
- Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.
- Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.
Document and scale
- Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.
What You’ll Need
- 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.
- Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.
- Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.
- Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.
- Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.
- Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.
- Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.
- Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).
- Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.
- Ownership mindset with flexibility to switch between strategy and hands-on execution.
Preferred
- Experience in real estate, fintech/proptech, or performance-driven consumer brands.
- Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic
- Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.
- Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.
How We Measure Success
- Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline
- Brand vs. non-brand efficiency; impression share/share of voice.
- Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.
- Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection
- Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.
Compensation
Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience.
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
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Навыки
- Google Ads
- Microsoft Ads
- SQL
- Snowflake
- Google Analytics 4
- Google Tag Manager
- Performance Max
- Search Engine Optimization
- AEO
- Python Scripts
- Tableau
- QuickSight
- Incrementality Testing
Возможные вопросы на собеседовании
Проверка опыта работы с современными алгоритмами Google Ads и понимания их влияния на бизнес-показатели.
Расскажите о вашем опыте перехода на стратегии Value-Based Bidding. С какими сложностями в передаче сигналов офлайн-конверсий вы сталкивались?
Вакансия делает упор на AI. Важно понять, как кандидат автоматизирует рутину.
Какие конкретные сценарии использования LLM или скриптов вы внедрили в свою работу для масштабирования рекламных кампаний или анализа данных?
Opendoor ищет синергию между каналами.
Как вы подходите к координации стратегий Paid Search и SEO, чтобы минимизировать каннибализацию трафика и максимизировать долю в поисковой выдаче (SOV)?
Проверка навыков доказательного маркетинга.
Опишите дизайн вашего последнего эксперимента по инкрементальности (incrementality test). Какие метрики были ключевыми и как результаты повлияли на распределение бюджета?
Работа в сфере недвижимости на рынке США/Канады накладывает ограничения.
Как вы адаптируете стратегии таргетинга и аудиторий с учетом политик конфиденциальности и специальных категорий объявлений (Housig policy)?
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