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Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
GEICO is seeking a skilled SEO \& AI Search Content Writer to join our team with a focus on the Commercial Insurance sector. This role combines expertise in storytelling, digital marketing, and the strategic use of AI\-assisted tools to produce high\-impact, high\-quality content that drives traffic, engagement, and conversions for our Commercial business initiatives.
As a key member of the SEO team, you will leverage advanced AI tools, to augment your copywriting talents, enabling the creation of scalable, personalized, and data\-driven content. This role emphasizes the integration of AI to enhance ideation, streamline workflows, and optimize content performance, ensuring alignment with GEICO’s brand voice, marketing objectives, and evolving industry standards.
In addition to driving traditional SEO strategies, this role will focus on advancing GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) initiatives, ensuring content is structured to meet modern search intent and deliver value across emerging search platforms. You will collaborate closely with designers, marketers, and cross\-functional teams to create content that not only ranks well but also resonates with audiences in a competitive digital landscape.
Reporting to the Director of Marketing Strategy, SEO, the SEO \& AI Search Content Writer will operate in a collaborative environment, utilizing cutting\-edge tools, technologies, and insights to maintain GEICO’s leadership in the digital Commercial Insurance space. This position is ideal for candidates who are passionate about blending creativity with technology and have a proven track record in SEO and AI Search\-driven content creation.
Key Responsibilities
- Content DevelopmentandOptimization: Create and deliver high\-quality, strategic copy for the Commercial insurance business, including landing pages, blog posts, long\-form SEO articles and more, tailored to the target audience.
- AI Integration: Utilize AI\-powered tools to streamline content creation workflows, generate ideas, and optimize outputs while maintaining brand voice and high\-quality standards.
- SEO andGEO/AEO Strategy: Develop content that adheres to traditional SEO principles (e.g., keyword optimization, on\-page SEO) and incorporate emerging GEO/AEO strategies to meet search intent and perform effectively on voice search and answer engines.
- Performance Analysis: Track, analyze, and report on the performance of Commercial insurance\-focused SEO content efforts. Use data\-driven insights to refine strategies, improve results, and adapt messaging based on customer behavior and search trends.
- Content Optimization: Review and refine AI\-generated content for tone, consistency, and effectiveness, ensuring all outputs meet brand, high\-quality, and SEO and GEO/AEO standards.
- Trend Monitoring: Stay informed about Google algorithm updates, AI advancements, and trends in the commercial insurance SEO ecosystem. Assess risks and opportunities specific to the sector and apply best practices to maintain a competitive content edge.
- Process Improvement: Identify and implement opportunities to enhance content creation workflows, including refining AI prompts, developing reusable frameworks, and establishing structured processes for efficiency and scalability.
- Brand Alignment: Ensure all content adheres to GEICO’s brand guidelines, voice, and messaging standards while addressing the unique needs of the Commercial insurance audience.
- Collaboration: Partner with Marketing, Product, and cross\-functional teams to support content creation, content planning, and execution timelines, ensuring alignment with overall business objectives and legal compliance.
- Data\-Driven Experimentation: Foster a data\-informed culture by testing new content ideas within the Commercial insurance space, gathering insights, and implementing scalable solutions to drive business growth.
- Workflow Coordination: Facilitate the creation and publication of online articles and digital content by collaborating with cross\-functional teams, managing workflows, uploading content to the internal CMS when needed, and ensuring timely delivery in alignment with brand and SEO standards.
Key Qualifications:
- Experience: 4–6 years of professional copywriting experience, preferably within an agency or in\-house creative team, with a strong portfolio showcasing diverse work across digital formats.
- SEO Expertise: Proven experience in creating SEO\-driven content, including keyword optimization, on\-page SEO, and a solid understanding of search intent, topical depth, and structured formatting.
- AEO Expertise: Strong understanding of emerging GEO and AEO strategies, with experience in optimizing content for LLMs, structuring information to align with answer engine algorithms, and meeting modern search intent.
- AI Proficiency: Demonstrated experience using AI\-powered tools to enhance content creation workflows, ideation, and optimization.
- Content Strategy: Strong ability to translate marketing briefs and strategic concepts into clear, engaging, and impactful written content tailored to specific audience needs.
- Analytical Skills: Experience tracking and analyzing content performance metrics, with the ability to derive actionable insights to refine strategies and improve results.
- Collaboration: Proven ability to work effectively in cross\-functional teams, collaborating with designers, marketers, and SEO specialists to achieve campaign objectives.
- Technical Knowledge: Understanding of Google algorithm updates, SEO trends, and the Commercial Insurance SEO ecosystem, with the ability to assess risks and opportunities.
- Attention to Detail: Exceptional proofreading and editing skills, ensuring all content meets brand, high\-quality, and SEO standards.
- Project Management: Ability to manage multiple projects and deadlines in a fast\-paced environment, ensuring timely delivery of high\-quality content.
- Education: Bachelor’s degree in marketing, communications, journalism, or a related field, or equivalent work experience.
- Adaptability: A proactive mindset with the ability to stay ahead of industry trends, AI advancements, and evolving SEO/GEO/AEO practices.
Core Competencies:
- Drives Results Through Content: You take ownership of content goals, crafting high\-quality, strategic copy that drives measurable outcomes and supports Commercial Insurance growth.
- Creative and Adaptable Storytelling: You embrace innovation and adapt your writing style to meet evolving SEO, GEO and AEO trends, creating specialized content solutions for Commercial Insurance challenges.
- Audience\-Centric Writing: You prioritize the needs of Commercial buyers, crafting content that aligns with their search behaviors, intentions, and decision\-making processes.
- Collaborative Content Development: You excel in cross\-functional environments, working closely with teams to integrate content seamlessly into broader Commercial\-focused strategies.
- Data\-Informed Content Strategy: You leverage analytics to refine content performance, using data\-driven insights to optimize messaging and advocate for impactful SEO, GEO \& AEO initiatives in the Commercial Insurance space.
Why GEICO?
At GEICO, we’re not only leaders in the insurance industry but also innovators at the intersection of data, technology, and customer experience. Join a dynamic team focused on growing our commercial insurance portfolio through cutting\-edge SEO strategies in an organization that values collaboration, transparency, and continuous improvement.
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.
We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi\-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well\-being, mental and emotional health and financial future.
- Comprehensive Total Rewards program that offers personalized coverage tailor\-made for you and your family’s overall well\-being.
- Financial benefits including market\-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition\-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility\- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Annual Salary
$73,800\.00 \- $115,825\.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well\-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Salary Context
This $73K-$115K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $180K across 2130 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 4,133 AI roles we're tracking, AI/ML Engineer positions make up 69% of the market. At GEICO, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $185,000 based on 13,200 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($94K) sits 49% below the category median. Disclosed range: $73K to $115K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
GEICO AI Hiring
GEICO has 12 open AI roles right now. They're hiring across AI/ML Engineer, AI Agent Developer. Positions span Palo Alto, CA, US, New York, NY, US, Dallas, TX, US. Compensation range: $115K - $350K.
Location Context
AI roles in New York pay a median of $211,000 across 2,760 tracked positions. That's 5% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (1,901) and senior (1,663) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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