招聘

Senior Performance Manager, Paid Search
Office - Florida-Miami; Office - Washington-Seattle; Phoenix, Arizona, United States
·
On-site
·
Full-time
·
1mo ago
薪酬
$133,000 - $182,600
福利待遇
•Unlimited Pto
•Healthcare
•401(k)
•Equity
必备技能
Paid search
Google Ads
Microsoft Ads
AI/automation
Experimentation
Analytics
Data Analysis
Stakeholder Management
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 + Quick Sight) 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, Tik Tok), 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 Tik Tok 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
The base pay range for this position is $133,000.00 - $182,600.00 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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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关于Opendoor

Opendoor
PublicOnline company.
1,001-5,000
员工数
San Francisco
总部位置
$1.2B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.0
管理层
3.5
75%
推荐给朋友
优点
Flexible schedule/hours
Great team/colleagues
Interesting/innovative work
缺点
Fast-paced environment
Long hours/overwhelming workload
Limited career advancement/resources
薪资范围
47个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Analyst
2份报告
$135,700
年薪总额
基本工资
$118,000
股票
-
奖金
-
$135,700
$135,700
面试经验
1次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Phone Screening
3
Technical Interview
4
Final Round
5
Offer Decision
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
新闻动态
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