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Google L4 Jobs (NOW HIRING)

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... L4 autonomous driving across an expanding operational design domain, from parking lots to highways ...

Vehicle Systems Safety

Mountain View, CA · On-site

$204K - $252K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... Experience with autonomous driving systems (L3/L4) or advanced ADAS. * Automotive background in ...

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... L4 autonomous driving across an expanding operational design domain, from parking lots to highways ...

Principal Engineer - C++

Reston, VA · On-site

$155K - $255K/yr

Senior Engineer (L4), Lead Engineer (L5), Principal Engineer (L6), Senior Principal/Architect (L7 ... AWS, Azure, or Google Cloud Platform experience * Kubernetes, Docker, or container orchestration ...

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... L4 autonomous driving across an expanding operational design domain, from parking lots to highways ...

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Google L4 information

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$46

$61

$87

How much do google l4 jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for google l4 in the United States is $61.92, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $74.04 per hour, depending on experience, location, and employer.

What is the difference between Google L4 vs Google L3?

AspectGoogle L4Google L3
Required CredentialsBachelor's degree or higher, relevant technical skillsBachelor's degree, entry-level technical skills
Work EnvironmentCollaborative, fast-paced tech environmentSupportive, entry-level technical team
Employer & Industry UsageCommonly used for mid-level roles in tech companies like GoogleUsed for entry-level roles in similar tech settings
Search & Comparison IntentUnderstanding mid-level responsibilities and expectationsClarifying entry-level role requirements

Google L4 positions typically require more experience and technical skills than Google L3 roles. L4 employees handle more complex projects and have greater responsibilities, while L3 roles are often entry-level with foundational tasks. Both roles are integral to Google's technical teams, but L4 is considered a step above in terms of scope and expertise.

What are the typical responsibilities and collaborative expectations for a Google L4 software engineer?

As an L4 Software Engineer at Google, you can expect to work on designing, coding, testing, and maintaining software solutions within a collaborative team environment. You’ll regularly participate in code reviews, contribute to technical discussions, and collaborate with cross-functional partners such as Product Managers and UX Designers. L4 engineers are also expected to mentor junior team members, help define technical requirements, and take ownership of moderately complex projects. This role provides opportunities to develop leadership skills and gain visibility, which can be instrumental for career advancement.

What is a Google L4?

A Google L4 position refers to a Level 4 role within Google’s job leveling system, typically representing an entry-level to mid-level software engineer or equivalent position. Employees at L4 are expected to have a solid foundation in their field, contribute independently to projects, and occasionally take on mentorship or leadership tasks. This level usually requires several years of professional experience or a relevant advanced degree. Compensation, responsibilities, and expectations increase significantly from the entry-level (L3) to L4. Advancement beyond L4 often involves demonstrating greater technical expertise, leadership, and impact on larger projects.

What are the key skills and qualifications needed to thrive as a Google L4 software engineer, and why are they important?

To thrive as a Google L4 Software Engineer, you need strong programming skills in languages such as Java, C++, or Python, a solid understanding of algorithms and data structures, and typically a bachelor’s or master’s degree in computer science or a related field. Proficiency with distributed systems, cloud platforms, and code versioning tools like Git is essential, along with experience in testing frameworks and code review systems. Excellent problem-solving, teamwork, and communication skills help individuals stand out in collaborative and fast-paced environments. These skills and qualities are vital for building scalable, high-impact products and contributing effectively to complex engineering projects at Google.
More about Google L4 jobs
What cities are hiring for Google L4 jobs? Cities with the most Google L4 job openings:
What states have the most Google L4 jobs? States with the most job openings for Google L4 jobs include:
Infographic showing various Google L4 job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Senior Director, Digital Marketing

AvePoint

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

The Opportunity 

Digital marketing has been fundamentally restructured by AI - and we need a leader who doesn't just understand that shift, but is actively shaping it. This is not a role for someone catching up; it's for someone who's already operating in the new paradigm. 

As Senior Director of Digital Marketing, you will own AvePoint's end-to-end digital presence and performance - from how we're discovered by AI answer engines to how we convert pipeline on the website. You'll lead SEO/GEO, Answer Engine Optimization (AEO), paid media, and web conversion strategy, building a fully AI-powered digital org that stays ahead of the curve on every front. 

What You'll Own 

Answer Engine Optimization (AEO) & GEO 

  • Define and lead AvePoint's strategy for AI-driven search visibility across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, and emerging LLM platforms. 
  • Build AEO accountability frameworks: benchmark tracking, citation monitoring, share-of-voice in AI-generated answers, and input/output OKRs across contributing teams. 
  • Partner with Brand, Demand Gen, and AR teams on content and structural approaches that increase AvePoint's citation frequency in AI answer surfaces. 
  • Stay 6-12 months ahead of platform changes - from structured data to semantic search to agent-based browsing - and translate emerging signals into actionable strategy. 

SEO Strategy & Organic Performance 

  • Own organic search strategy across the full funnel - from brand and category terms to long-tail buying-stage content - with direct ownership of Ahrefs (Brand Radar) and GA4 reporting. 
  • Lead technical SEO: site architecture, Core Web Vitals, crawlability, schema markup, and content velocity programs. 
  • Build AI-assisted content workflows that accelerate topical authority without sacrificing quality signals or E-E-A-T. 
  • Establish and track SEO/GEO channel benchmarks across impressions, clicks, and campaign members as part of the full marketing funnel measurement model. 

Paid Media & Performance Marketing 

  • Oversee paid media investment across Google, LinkedIn, display, and programmatic - with direct accountability for MQL volume, cost per MQL (benchmark: $4K), and SAL conversion rates. 
  • Deploy AI-native campaign management: automated bidding, creative testing at scale, predictive audience modeling, and intent signal integration from 6sense and Clearbit Reveal. 
  • Partner with RevOps and Analytics to connect paid spend to pipeline attribution as the attribution model matures (Dreamdata evaluation in progress). 
  • Manage paid media budgets with rigor - optimizing channel mix across regions (AMER, EMEA, ANZ) and product categories (AI Governance, Resilience). 

Website & Conversion Rate Optimization (CRO) 

  • Own the AvePoint website as a revenue-generating asset: information architecture, UX, messaging alignment, and conversion performance across all campaign and product landing pages. 
  • Lead CRO programs - A/B testing, personalization (in partnership with 6sense and Clearbit), and conversion path optimization - with GA4 and pipeline as the primary success metrics. 
  • Collaborate with Product Marketing on solution and persona-based web journeys; with Brand on design system consistency; and with Demand Gen on campaign landing page performance. 
  • Evaluate and integrate AI tools for dynamic content, intelligent chat, and web personalization to improve engagement and self-service pipeline creation. 

Building an AI-Powered Digital Org 

  • Model and enforce AI proficiency standards across the Digital Marketing team - targeting L4 proficiency (The Neuron's 5-Level Framework) by year-end, with at least one L5 agent deployed. 
  • Identify, pilot, and scale AI tools across every digital function: content generation, keyword research, ad creative testing, reporting automation, and audience intelligence. 
  • Create a culture of continuous learning and experimentation - running fast, documenting what works, and distributing knowledge across the broader growth marketing org. 
  • Serve as the internal subject matter expert on AI-driven digital marketing, educating the ELT and cross-functional stakeholders on implications and opportunities. 

How We'll Measure Success 

You'll be accountable to AvePoint's full marketing funnel - from impressions to pipeline - with digital owning specific stages: 

Metric 

Channel 

Your Accountability 

Impressions & Clicks 

Paid Ads, SEO, AEO 

Primary owner 

Campaign Members  

Website, Paid, Search 

Primary owner 

Cost per MQL 

All digital channels 

Primary owner 

SAL Conversion Rate 

MQL quality indicators 

Contributing owner 

Pipeline Contribution 

Digital-sourced leads 

Contributing owner 

AEO Citation Share 

AI answer engines 

Primary owner 

Who You Are 

  • 8+ years of B2B digital marketing experience, with at least 3 years in a senior leadership role owning paid media, SEO, and web. 
  • Demonstrated expertise in AEO and GEO - you've been tracking and optimizing for AI-generated answer surfaces, not just reading about them. 
  • Deep hands-on experience with GA4, paid search/social platforms (Google Ads, LinkedIn), SEO tooling (Ahrefs, SEMrush), and marketing automation (Marketo preferred). 
  • Proven ability to connect digital spend to pipeline outcomes - you understand attribution, work well with RevOps, and don't hide behind vanity metrics. 
  • Experience scaling AI tooling across a team - not just using AI yourself, but building processes, workflows, and capability frameworks for others. 
  • Strong analytical instincts: you read data, form hypotheses, test them, and ship results. 
  • Executive-ready communication - you can translate digital performance into business impact for ELT and board audiences. 

Strongly Preferred 

  • Experience in B2B SaaS, security, or data governance - familiarity with complex, multi-stakeholder buying processes. 
  • Experience with ABM platforms like 6sense or intent data tools (Bombora, Clearbit Reveal). 
  • Exposure to Dynamics 365 and Marketo in a pipeline-reporting context. 
  • Comfort operating in a global org with regional go-to-market nuance (AMER, EMEA, ANZ). 
  • Active participant in digital marketing communities, newsletters, or public thought leadership on AI-driven marketing. 

The Signal We're Looking For 

The right person for this role doesn't wait for the industry to settle before making a move. They're already running experiments in AEO. They've replaced manual reporting workflows with AI agents. They have a point of view on where search is going in 18 months - and they're building for it now. They hold themselves accountable to pipeline, not just impressions. 

The Salary Range for this role is $200,000 - $270,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.