Senior Manager, Paid Search
T
TalkiatryMental Healthcare
Work where you want to, either remotely across the U.S. or from our HQ in NYCFull-TimeManager
Salary$150K - $180K; $150K – $180K
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Job Details
- Experience
- 6-9+ years of experience in B2C growth/performance marketing, with 5+ years deep in paid search
- Required Skills
- PythonSQLMicrosoft ExcelA/B testing
Requirements
- 6-9+ years of experience in B2C growth or performance marketing.
- 5+ years of deep expertise in paid search, specifically Google Ads and Bing Ads.
- Proven experience running structured A/B and multivariate tests in paid media.
- Strong analytical and technical fluency using SQL, Python, Excel, and/or BI tools.
- Experience leveraging downstream conversion quality, LTV, and retention signals for budget allocation.
- Experience evaluating and operationalizing emerging Google campaign types like Performance Max and AI Max.
- Ability to analyze large datasets and build forecasting or scenario-planning frameworks.
- High ownership and capability to make recommendations with imperfect data.
- Demonstrated ability to operate in a fast-paced, high-growth environment.
Responsibilities
- Own and scale Talkiatry’s paid search program end-to-end, including forecasting, budgeting, pacing, bidding strategies, account structure, and creative testing for Google, Bing, and ZocDoc.
- Develop and execute a rigorous testing roadmap, including ad copy, keyword strategy, landing page variants, and automation/algorithmic controls.
- Build and maintain marginal CAC and spend sensitivity curves to inform investment decisions and budget allocation across search channels.
- Optimize automated and manual bidding strategies using advanced tactics to hit performance targets like CAC, Marginal CAC, and ROAS.
- Monitor market signals, auction insights, and competitive pressures to proactively maintain a competitive advantage.
- Partner with Analytics, Finance, and Operations to ensure accurate attribution and alignment with capacity and demand.
- Integrate downstream retention and LTV signals into bidding and optimization systems.
- Evaluate channel performance through the lens of incrementality and marginal efficiency.
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