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Performance Director Jobs in California (NOW HIRING)

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Performance Director information

See California salary details

$58.7K

$117.8K

$162.8K

How much do performance director jobs pay per year?

As of Aug 21, 2026, the average yearly pay for performance director in California is $117,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $145,600.00 per year, depending on experience, location, and employer.

What is a performance director?

A Performance Director is a senior professional responsible for overseeing and optimizing the performance of teams, departments, or athletes, depending on the industry. In business, they focus on implementing strategies to improve operational efficiency and achieve organizational goals. In sports and entertainment, a Performance Director develops training programs, manages staff, and ensures peak performance. They often work closely with coaches, managers, and executives to set targets and monitor progress. Their role is crucial in driving continuous improvement and achieving high standards of performance.

What are the key skills and qualifications needed to thrive as a performance director?

To excel as a Performance Director, you need expertise in performance management, data analysis, and strategic planning, often supported by a degree in business, marketing, or a related field. Familiarity with analytics platforms (such as Google Analytics), project management tools, and relevant certifications like PMP or digital marketing credentials is highly valuable. Strong leadership, communication, and problem-solving abilities help you motivate teams and drive organizational success. These skills are crucial for optimizing performance outcomes, aligning teams with business goals, and achieving measurable results.

What are some common challenges a performance director faces when aligning cross-functional teams to achieve business objectives?

A Performance Director often encounters the challenge of unifying diverse teams—such as marketing, sales, and operations—under a shared vision for performance improvement. Balancing differing priorities, overcoming communication gaps, and ensuring data-driven accountability across departments require strong leadership and strategic planning. Success in this role relies on fostering collaboration, setting clear performance metrics, and effectively communicating expectations to keep everyone focused on company goals.

What is the difference between Performance Director vs Performance Manager?

AspectPerformance DirectorPerformance Manager
ResponsibilitiesOversees overall performance strategies, sets long-term goals, and aligns performance initiatives with company objectives.Manages day-to-day performance activities, monitors team performance, and implements performance improvement plans.
Required CredentialsTypically requires a bachelor's degree in business, HR, or related field; often a master's degree or certifications like SHRM-SCP.Usually requires a bachelor's degree in HR, business, or related area; certifications like PHR or SHRM-CP are common.
Work EnvironmentStrategic, leadership-focused, often in executive settings or HR departments.Operational, team-focused, working closely with employees and managers.

The Performance Director focuses on strategic performance initiatives and long-term goals, while the Performance Manager handles daily performance management and team development. Both roles require related credentials and work within HR or organizational settings, but differ in scope and focus.

What are the most commonly searched types of Performance jobs in California?

The most popular types of Performance jobs in California are:

What are popular job titles related to Performance Director jobs in California?

For Performance Director jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Performance Director jobs?

Cities in California with the most Performance Director job openings:

Infographic showing various Performance Director job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $117,761 per year, or $56.6 per hour.

Director, Digital Performance Marketing

Turn/River

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 11 days ago


Job description

About the job

A Turn/River portfolio company is seeking a strategic, data-driven Director of Digital Performance Marketing to lead the performance marketing strategy across SEO, SEM, CRO, and AI search — including Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and other AI/LLM-driven discovery channels. This role will own both earned and paid media performance, with a strong emphasis on organic search, paid search, and AI-powered answer engines (Google AI Overviews, ChatGPT, Perplexity, Gemini, Copilot) as core growth engines, while using modern conversion rate optimization techniques, tools, and strategies. As search shifts toward zero-click and AI-generated answers, the ideal candidate is a hands‑on performance marketing leader who can build strategy, lead execution, optimize investment, and deliver measurable pipeline and revenue impact — regardless of where discovery happens.

Your role

The Director, Digital Performance Marketing will define and lead the digital acquisition strategy across key channels, with primary ownership of Paid Search, Organic Search, AI Search / Answer Engine Optimization (AEO), and Conversion Optimization. This leader will be responsible for building a modern, full‑funnel performance engine that competes for visibility not only in traditional search results but also in AI Overviews, chat‑based answer engines, and other zero‑click surfaces — increasing qualified traffic, improving conversion efficiency, and driving scalable growth across the business.

This role requires a strong operator who combines strategic thinking with analytical rigor, deep search and AI‑search expertise, and the ability to lead cross‑functional execution across content, web, analytics, creative, and campaign teams. The position is ideal for a performance marketer who is equally comfortable setting vision, managing large budgets, staying ahead of the fast‑evolving AI search landscape, and getting into the details of optimization.

Your impact Search strategy and channel leadership
  • Own the overall digital performance marketing strategy across SEO, SEM, AI search/AEO, display, and paid social, with SEO, SEM, and AI search serving as the primary focus areas.

  • Build and evolve a comprehensive search strategy spanning technical SEO, on‑page optimization, content‑driven SEO, paid search campaign architecture, bidding strategy, keyword portfolio management, and Answer Engine Optimization (AEO) tactics for AI Overviews and other LLM‑powered answer engines.

  • Lead full‑funnel acquisition planning across TOFU, MOFU, and BOFU motions, ensuring channel investment aligns to business goals, audience intent, and conversion opportunities.

  • Develop integrated channel strategies that connect earned and paid media to improve visibility, traffic quality, conversion rates, and pipeline generation.

  • Drive a test‑and‑learn culture across messaging, targeting, bidding, landing pages, audience segmentation, and creative.

  • Track the ongoing shift toward zero‑click search and AI‑generated answers, evolving channel strategy and success metrics to reflect how buyers now discover, evaluate, and engage with content across both traditional and AI‑powered search experiences.

AI search, Answer Engine Optimization (AEO) & LLM visibility
  • Own the company’s AI search strategy, including Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), to maximize brand visibility, citation, and share of voice across Google AI Overviews, ChatGPT, Perplexity, Gemini, Copilot, and other LLM‑powered answer engines.

  • Build structured, entity‑rich, machine‑readable content — including schema markup, structured data, and clear source attribution — that increases the likelihood of being cited, quoted, or summarized in AI‑generated answers.

  • Define and track AI search performance using metrics such as citation rate, mention rate, prompt‑level share of voice, sentiment, and AI‑referral traffic, leveraging platforms such as Profound, AirOps, Otterly, and Peec AI.

  • Partner with content, PR, and communications teams to strengthen the off‑site presence that LLMs frequently draw on when generating answers, including review sites, forums, YouTube, third‑party publications, and industry communities.

  • Monitor evolving model behavior, crawler access (e.g., GPTBot, PerplexityBot, Google‑Extended), and platform updates across major AI search surfaces, continuously adapting strategy as AI search adoption grows and buyer behavior shifts toward zero‑click experiences.

SEO leadership
  • Own the SEO roadmap across technical, content, and off‑page initiatives, including site health, crawlability and AI‑crawler accessibility (e.g., llms.txt, structured data, and access for bots such as GPTBot, PerplexityBot, and Google‑Extended), indexation, internal linking, keyword strategy, content briefs, and authority‑building efforts.

  • Partner closely with content, web, and product marketing teams to build SEO programs that strengthen topic authority, improve rankings, and drive qualified organic growth.

  • Monitor search trends, algorithm changes, and emerging AI search behaviors — including the growth of AI Overviews and zero‑click search — to continuously adapt strategy and maintain competitive advantage.

  • Establish clear SEO reporting and forecasting to show impact on traffic, conversions, pipeline, and revenue contribution.

SEM and paid media leadership
  • Lead paid search strategy and execution across platforms such as Google Ads and Microsoft Advertising, including account structure, keyword expansion, bid strategy, ad copy testing, budget allocation, and performance optimization.

  • Own the broader paid media mix across display and paid social, ensuring channel roles are clearly defined and performance is measured against pipeline and efficiency targets.

  • Build retargeting, audience, and segmentation strategies that improve demand capture and conversion performance across the funnel.

  • Optimize media investment using first‑party data, attribution insights, and conversion signal improvements to maximize return on spend.

Performance management and analytics
  • Define, track, and report on core performance KPIs such as traffic, rankings, CTR, CVR, CPL, CAC, ROAS, AI citation rate and share of voice, AI‑referral traffic, pipeline contribution, and revenue influence.

  • Use analytics and reporting platforms to translate performance data into clear recommendations, investment decisions, and action plans.

  • Build forecasts and scenario models to guide budget decisions, growth planning, and target setting.

  • Partner with analytics and operations teams to strengthen attribution, measurement, and performance visibility across digital channels.

Team leadership and cross‑functional execution
  • Lead and develop a high‑performing digital marketing team, setting clear priorities, goals, and accountability across programs.

  • Manage agency and vendor relationships across search, media, analytics, and SEO tooling.

  • Partner cross‑functionally with content, web, creative, product marketing, campaign teams, operations, and sales to ensure digital programs are aligned with company priorities and conversion goals.

  • Bring structure, discipline, and operating rhythm to digital planning, optimization, reporting, and quarterly business reviews.

What success looks like
  • SEO and SEM are scalable, predictable growth channels with measurable contribution to pipeline and revenue.

  • Organic search performance improves across rankings, non‑brand traffic, conversion quality, and share of voice.

  • The brand earns strong, accurate visibility and citations across AI Overviews and leading AI‑powered answer engines, capturing demand even as more searches end in zero‑click, AI‑generated answers.

  • Paid search programs consistently capture high‑intent demand while meeting efficiency and return targets.

  • Display and paid social programs effectively support audience development, retargeting, and conversion acceleration.

  • Budget allocation decisions are driven by performance data, clear attribution, and business outcomes.

  • The digital marketing team operates with strong accountability, speed, and continuous optimization.

Your experience
  • 8+ years of progressive experience in digital or performance marketing, with significant depth in both SEO and SEM.

  • Proven success leading search‑driven growth programs in a B2B SaaS or technology environment.

  • Deep expertise in SEO strategy, technical SEO, content SEO, keyword research, SERP analysis, and search performance measurement.

  • Deep expertise in paid search strategy, campaign structure, bidding, audience targeting, ad testing, and budget optimization.

  • Working knowledge of AI search and answer engine optimization (AEO/GEO/LLMO), including how large language models retrieve, synthesize, and cite content, and how to structure content and technical infrastructure to earn visibility in AI‑generated answers.

  • Experience managing display and paid social as part of an integrated performance marketing portfolio.

  • Strong analytical and commercial orientation, with the ability to connect channel metrics to pipeline and revenue outcomes.

  • Experience managing meaningful media budgets and making data‑driven investment decisions.

  • Demonstrated success leading cross‑functional teams and influencing stakeholders across marketing, web, analytics, and executive leadership.

Skills
  • Strong command of enterprise search and analytics platforms, including Google Ads, Search360, Google Search Console, Microsoft Advertising, Google Analytics 4, Adobe Analytics, Tableau, leading SEO tools such as SEMrush, Ahrefs, and BrightEdge, and AI search/answer engine visibility platforms such as Profound, AirOps, Otterly, and Peec AI.

  • Fluency in AI search concepts and terminology — Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), LLM optimization (LLMO), zero‑click search, AI Overviews, retrieval‑augmented generation (RAG), structured data/schema markup, and citation/share‑of‑voice tracking across AI‑powered answer engines.

  • Strong understanding of landing page optimization, conversion strategy, audience segmentation, and full‑funnel performance marketing.

  • Excellent communication skills with the ability to turn complex data into actionable business insights.

  • Strong leadership presence, operational discipline, and bias for action.

Education
  • Bachelor’s degree in Marketing, Business, or a related field.

  • Relevant certifications in Google Ads, Google Analytics, or Microsoft Advertising are a plus.

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