EverQuote (NASDAQ: EVER) is a leading technology company revolutionizing the insurance industry with its innovative platform. Founded in 2011, EverQuote has been at the forefront of using data and technology to provide consumers with personalized insurance options. The company's advanced algorithms and machine learning capabilities have transformed the way people compare and shop for insurance, making the process more efficient and tailored to individual needs. EverQuote's dedication to leveraging technology for the benefit of both consumers and insurance providers has solidified its position as a key player in the insurtech space.

everquote

Senior Software Engineer
Location: Belfast
Contract: Full time, Permanent
EverQuote is seeking a forward thinking Senior Software Engineer to join our market-leading insurance lead amplification platform!
As a Senior Software Engineer, you will be at the heart of a platform that connects millions of American home and auto insurance customers to major and regional providers. You will be instrumental in the design and delivery of our main public facing platform and the sophisticated supporting tools that power it. Joining a highly capable, motivated, and fully empowered team, you will work in a fast moving, Agile, and data led environment where a "test and learn" mentality and A/B testing are core to our success. You will shine as a mentor, providing technical insight while being empowered to innovate in both solution delivery and developer productivity.
<h2>Agent First &amp; Innovation Led:</h2>
We are an Agent First organization. You will be responsible for pioneering agentic workflows within our SDLC, leveraging Anthropic Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement.
<h2>Who You Are:</h2>
Humble, Hungry, Smart.
<h2>What You'll Be Doing:</h2>
<ul>
<li>Architect and deliver high impact features for our main public facing insurance marketplace and internal toolsets.</li>
<li>Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence.</li>
<li>Coach and mentor junior engineers within the team and organisation.</li>
<li>Champion our Agent First philosophy by driving agentic enablement across our development lifecycle.</li>
<li>Utilize analytics data aggregation to create feedback loops for continuous system and process improvement.</li>
<li>Proactively engage with cross functional stakeholders including Product Managers and Architecture team.</li>
</ul>
<h2>Essential Criteria:</h2>
<ul>
<li>A third level degree in an Information Technology or Computer Science related field.</li>
<li>You will have 5+ years of professional programming experience including experience at a software product company.</li>
<li>You have experience in the following disciplines; supporting cloud platforms at scale (AWS), working with infrastructure as code, container orchestration environments (preferably Kubernetes) and observability platforms.</li>
<li>Hands-on Back-End Experience.</li>
<li>You are proficient in Typescript.</li>
<li>You are experienced in continuous integration and deployment tools.</li>
</ul>
<h2>Desirable Criteria:</h2>
<ul>
<li>You have a security-first approach with a strong focus on secure delivery of application software and cloud infrastructure.</li>
<li>You have experience with container based solutions such as Docker, Kubernetes.</li>
<li>You are proficient in deploying infrastructure as code.</li>
<li>UI development experience (e.g. React).</li>
<li>Cloud native services (AWS).</li>
<li>Engineering systems/applications at scale.</li>
<li>Serverless architectures.</li>
<li>Microservice based architecture.</li>
<li>Continuous integration and deployment tools.</li>
</ul>
 Everquote offers a competitive salary and total compensation package including bonus and a comprehensive range of health and wellbeing benefits.
<h3>Statement on Fair Employment and Equal Opportunities</h3>
EverQuote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability.
As a registered employer in Northern Ireland, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision.
EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices.
<h3>Reasonable Adjustments</h3>
We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them.
&nbsp;

Senior Software Engineer

<h3>Senior Back End Software Engineer</h3>
Location: Cambridge, MA / Hybrid
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
<h4>About us:</h4>
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities. We enable the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and AI traffic engine, EverQuote is transforming how providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a dedicated group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, EverQuote is the place for you. We move fast, rely on data, and hold ourselves to high standards of excellence.
<h4>About the role:</h4>
EverQuote is seeking a Senior Back End Software Engineer to join our growing team. As a senior engineer, you will be instrumental in architecting, building, and scaling systems that power our core business. You will also play a key role in mentoring fellow engineers, driving technical excellence, and fostering a collaborative, growth-oriented environment.
<h4>What you'll do:</h4>
<ul>
<li>Design, build, and maintain scalable, performant, and reliable back-end applications and microservices.</li>
<li>Mentor and guide engineers across the team, providing technical insights and helping others unblock complex problems.</li>
<li>Partner with product, data, and business teams to translate technical concepts into high-impact products.</li>
<li>Help modernize and optimize infrastructure using microservices, containers, and modern automation tools.</li>
</ul>
<h4>What you bring to the team:</h4>
<ul>
<li>Bachelor’s degree in Computer Science, engineering, or a related technical field or equivalent hands-on professional experience.</li>
<li>5+ years in a high-growth software product company.&nbsp;</li>
<li>Strong background building production-grade applications using server-side languages such as Python, Java, or Go.&nbsp;
<ul>
<li>Familiarity with streaming data platforms, CI/CD pipelines, or cloud-native infrastructure (AWS/GCP).</li>
</ul>
</li>
<li>Deep experience designing microservices architectures and deploying with Docker and Kubernetes.</li>
<li>Experience leveraging modern software tools (e.g., Claude, GitHub Copilot, Codex) to increase productivity and code quality.</li>
<li>A passion for knowledge-sharing, code reviews, and helping teammates elevate their technical skills.</li>
<li>Comfort using data and key metrics to guide architecture decisions and validate concepts.</li>
</ul>
________________________________________
The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role. The base salary for this full-time hybrid role is $150,700 - $177,300.&nbsp;
Your recruiter can provide more details about the specific salary/OTE range for your role during the hiring process.
This position is not eligible for employment visa sponsorship, now or in the future. Candidates must be able to work in the U.S. without the need for employer-sponsored visa support.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.
For more information, visit <a href="https://www.globenewswire.com/Tracker?data=6XmzUHfuQ-i5S31_qCIpcQCQtcZ6e1ZCg-K9ZDUrOSjhU2y_ydujWqUSk1qbf0g08qVEJgBQCRrYN_rQ6s8R1bQPdaN9iF-VnAt04umDr2dE8nvrwxpZdkrAXEGT1B1W">https://investors.everquote.com</a> and follow on <a href="https://www.globenewswire.com/Tracker?data=77BAgL1nVeMykQsQieJyMOhYF-A1vLMHTvEuCfBOEZ3y8__JO9djvQmh39yBJX6yJu8z7nHYbHDvvyVkE2tBDSmNhEC7b1rXdBhuOD6_EEW4-W-Bal3QIK35pntX1W7wpCEWJkz5Ouui49uO507CTSlujcntR_vtPWE-rgBZ5E-p2PqAuo57e5Qv4Tv6QhC-n6qQjfy6QyTWRFcSaZnBetOgWYZADxcw-o4FsA_59RFz1Jt7fklOmQ8TWFMdjowUuoeYy-eog8rwjsES_lJwEPPqVjfaCHv76iX7KX3pOhGVuO1kDfKFQNaGgpnnqIY3W8mYzPeMJEisnZ6PgV4sgO1EVe7cY0cS8JDoOc9JMsBma3kScg5NSRPdt1ZNQvAnsjfWLaj8Q0Xmg9vqEkXqhvPvYuXbpSBpuADuxOKh8Yn2rAJzPdDDRbBgVEuYzlbVwrHM27mDXBGESKq_dfkYajMWrNGjbF3dg4omuuCvDpneGp3mrnk6IMTmwiogaLCXrp6dHSw_rVHsXixipTUhAXy7Gd_5_zeuDewZ1X_4gSV-f-fuipPZ42u2YD6RiUF-mP4WAjF7yUJkbh0nMJjY0g==">LinkedIn</a>.

Senior Back End Software Engineer

Job Description - Senior Software Engineer - B2B Platform Services
EverQuote is seeking a Senior Back End Software Engineer to join our growing team!
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and guidance as they grow as engineers.
About the Role
As a senior member of the Engineering team, you will be instrumental in delivering architecture improvements that will scale the EverQuote systems.&nbsp;
In this role, you will build applications and services that meet the needs of the business while also being scalable, performant and easy to maintain. You will be joining a team of talented, collaborative engineers eager to grow and deliver.
What You’ll Do:
<ul>
<li>Design and delivery of key business applications and solutions.</li>
<li>Enhance code quality, productivity and velocity through the use of AI assisted technology.</li>
<li>Adhere to our Software Development processes whilst improving our Engineering culture by identifying and addressing inefficiencies in our processes.</li>
<li>Proactively engage with cross functional stakeholders including Product Managers and Architecture team.&nbsp;</li>
</ul>
What You Bring to the Team (Qualifications):
<ul>
<li>5+ years of professional programming experience including experience at a software product company.</li>
<li>Experience in one or more of the following languages Typescript, Golang, Python or other server side languages.</li>
<li>You have worked in a microservice-based architecture and are proficient in Docker and Kubernetes.</li>
<li>Experience building, deploying and monitoring cloud based applications, systems &amp; infrastructure at scale (ideally on AWS).</li>
<li>Deep experience designing systems and communicating designs to technical and non-technical stakeholders.</li>
</ul>
Nice to Have (But Not Required):
<ul>
<li>You are passionate about sharing knowledge and mentoring teammates.</li>
<li>You are able to quickly diagnose and solve code problems, as well as help others unblock themselves.</li>
<li>You have an entrepreneurial mindset, want to grow a business, and love working with a team.</li>
<li>You are comfortable using data to support and validate your concepts.</li>
<li>You thrive in a fast-paced work environment where everyday contributions have a big impact.</li>
</ul>
Requirements can sometimes hold people back from applying to a job, but don’t let that be the case. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply!
For more information, visit <a href="https://www.everquote.com/">https://www.everquote.com/</a>&nbsp;and follow on <a href="https://www.globenewswire.com/Tracker?data=77BAgL1nVeMykQsQieJyMOhYF-A1vLMHTvEuCfBOEZ3y8__JO9djvQmh39yBJX6yJu8z7nHYbHDvvyVkE2tBDSmNhEC7b1rXdBhuOD6_EEW4-W-Bal3QIK35pntX1W7wpCEWJkz5Ouui49uO507CTSlujcntR_vtPWE-rgBZ5E-p2PqAuo57e5Qv4Tv6QhC-n6qQjfy6QyTWRFcSaZnBetOgWYZADxcw-o4FsA_59RFz1Jt7fklOmQ8TWFMdjowUuoeYy-eog8rwjsES_lJwEPPqVjfaCHv76iX7KX3pOhGVuO1kDfKFQNaGgpnnqIY3W8mYzPeMJEisnZ6PgV4sgO1EVe7cY0cS8JDoOc9JMsBma3kScg5NSRPdt1ZNQvAnsjfWLaj8Q0Xmg9vqEkXqhvPvYuXbpSBpuADuxOKh8Yn2rAJzPdDDRbBgVEuYzlbVwrHM27mDXBGESKq_dfkYajMWrNGjbF3dg4omuuCvDpneGp3mrnk6IMTmwiogaLCXrp6dHSw_rVHsXixipTUhAXy7Gd_5_zeuDewZ1X_4gSV-f-fuipPZ42u2YD6RiUF-mP4WAjF7yUJkbh0nMJjY0g==">LinkedIn</a>.

Senior Software Engineer - B2B Platform Services

Location:&nbsp;Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
EverQuote is seeking a Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success.
What you'll do:
<ul>
<li>Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. You will establish yourself as a technical leader and a valued team member as our team continues to grow.</li>
</ul>
Who you are:
<ul>
<li>2+ years of professional experience as a data scientist including experience developing and releasing predictive models to production</li>
<li>Bachelor’s degree in a technical field such as mathematics, statistics, computer science or economics; Master’s degree or PhD in a relevant field preferred.</li>
<li>Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions</li>
<li>Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization&nbsp;</li>
<li>Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvements</li>
<li>Advanced knowledge of applied mathematics and statistics and their common applications in online businesses</li>
<li>Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers</li>
<li>Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits</li>
<li>Strong skills in statistical and scientific programming in Python, fluent in SQL, proficient with Jupyter notebooks</li>
<li>Experience with packaging your code for deployment and reusability</li>
<li>Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders</li>
<li>Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack</li>
<li>Entrepreneurial mindset, want to grow a business, and love working with an Agile team</li>
<li>Thrive in a fast-paced work environment where everyday contributions have a big impact</li>
</ul>
&nbsp;
Education &amp; Experience:
<ul>
<ul>
<li>Bachelors degree in a technical field, with an advanced degree in Data Science, Computer Science, Math/Statistics, or a related field strongly preferred</li>
<li>Internship or equivalent professional experience in Data Science/MLE required. At least 2 years of professional experience in Data Science/ML preferred (preferred more strongly for candidates without an advanced degree)&nbsp;</li>
<li>Proven experience building and delivering ML solutions in a production eng environment preferred&nbsp;</li>
</ul>
</ul>
Technical Skills:
<ul>
<ul>
<li>Languages: Python, SQL (other languages a plus but not required)</li>
<li>ML Operations and comfortability with the model development lifecycle and related technologies (Snowflake/analytics DBs, AWS SageMaker or similar ML Platforms, MLFlow, GitHub, etcetera)</li>
<li>Comfortable working in a production engineering environment</li>
<li>Experience with predictive modeling (classification/regression) and experimentation (reinforcement learning and work with generative ML/AI is a plus)</li>
</ul>
</ul>
Core Competencies:
<ul>
<ul>
<li>Strong fundamentals in modeling and ML, and related technologies</li>
<li>Strong fundamentals in software development, with an emphasis on coachability&nbsp;</li>
<li>Strong stakeholder management abilities, with a knack for understanding user needs and aligning them with technical solutions</li>
<li>Strong product sense and the ability to contribute to understand product strategy and roadmap discussions</li>
<li>Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts clearly</li>
</ul>
</ul>
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $129,900-$152,800.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This role is not eligible for immigration sponsorship, now or in the future. Candidates must have current, unrestricted work authorization in the United States.
For more information, visit https://investors.everquote.com and follow on LinkedIn.

Data Scientist

Senior Analyst, Search Engine Marketing (SEM)
Cambridge, MA / Hybrid (in-office Tue-Thu)
About us:&nbsp;
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
About the role:&nbsp;
As a senior analyst on the SEM Analytics team, you will own performance for a portfolio of campaigns across Google Ads, Microsoft Advertising, and other channels.&nbsp; You will be responsible for daily performance of those channels, as well as identifying and implementing opportunities for improvement.
You will report to the SEM Analytics Lead, and will work closely with our Marketing and Engineering teams.&nbsp; This is a hands-on, high-ownership role responsible for scaling high-value traffic channels.&nbsp;
What you'll do:
<ul>
<li>Own campaign management for a segment of the SEM portfolio, including but not limited to bid, budget, campaign structure, and strategy decisions.&nbsp;</li>
<li>Become familiar with end-to-end performance from ad impression to revenue generation, and use that understanding to improve performance.</li>
<li>Investigate the underlying drivers behind performance changes, and communicate your findings to stakeholders across the company.</li>
<li>Turn analysis into concrete recommendations that improve margin and profit.</li>
<li>Identify opportunities for improvement, design test plans and measurement frameworks, manage testing processes, and implement winning strategies.</li>
<li>Partner with stakeholders across Marketing, Product, and Analytics to support company initiatives and launches.</li>
<li>Identify areas where recurring work can be automated, create prototypes and automations in Claude, and partner with Product and Engineering to create sophisticated automated campaign management systems.</li>
<li>Build dashboards and tooling for the team, documenting your work so it is usable by others.</li>
</ul>
What you bring to the team:
<ul>
<li>2-3 years of experience in analytics, with a focus on growth or marketing analytics.</li>
<li>Proficient in SQL; comfortable querying and shaping large datasets directly (Snowflake a plus).</li>
<li>Strong track record of end-to-end analysis: framing an ambiguous problem, doing the work, and landing a recommendation that drove a decision.</li>
<li>Strong analytical investigation skills; comfortable interrogating performance data to identify root causes.</li>
<li>Clear written and verbal communication with technical and non-technical audiences.</li>
</ul>
Nice to have:
<ul>
<li>Direct experience managing paid search campaigns in Google Ads (Microsoft Advertising a plus).</li>
<li>Comfortable using AI tools to accelerate operations and analysis.</li>
</ul>
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $90,000- $115,000.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This role is not eligible for immigration sponsorship, now or in the future. Candidates must have current, unrestricted work authorization in the United States.
As part of our hiring process, EverQuote may use artificial intelligence-enabled tools to support recruitment activities such as resume screening, interview scheduling, or summarizing interview notes. These tools assist, but do not replace, our talent team; all hiring decisions are made by humans. If you would like more information about how AI is used in our process, or would like to request an accommodation or an alternative process, please contact your recruiter.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.
A note on recruitment security: EverQuote will never ask candidates for personal or financial information (such as a Social Security number, bank account details, or payment of any kind) during recruitment or onboarding. All legitimate interview correspondence and offers will come only from an official @everquote.com email address. If you receive a suspicious message claiming to be from EverQuote, please do not respond, and report it to hiring@everquote.com .
&nbsp;
For more information, visit https://investors.everquote.com and follow on LinkedIn.

Senior Analyst, SEM

Senior Analyst, Paid Media
Location: Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
About the role:
As Senior Analyst, Paid Media, you will own television, connected TV, streaming video, YouTube, and streaming audio for EverQuote’s consumer growth businesses. These are new and fast-growing channels for us, and you will be the single owner: planning, buying, optimizing, and proving out what works.
You will report to the Manager, Paid Media, and work closely with Data Science, Marketing, and Finance. This is a high-ownership role with significant budget and no existing playbook. We are looking for a hands-on video and audio buyer and a strong analyst who can show leadership where the channel works and how to scale it.
What you’ll do:
<ul>
<li>Own end-to-end planning, buying, and optimization of CTV, streaming video, YouTube, linear TV, and streaming audio campaigns.</li>
<li>Manage budgets, flighting, and pacing against monthly and quarterly targets; forecast spend and flag risk early.</li>
<li>Serve as the primary day-to-day contact for our media agency - brief campaigns, review media plans and post-logs, hold the agency accountable to performance and process commitments.</li>
<li>Build and manage direct relationships with platform and publisher partners; evaluate new inventory, beta programs, and pricing opportunities.</li>
<li>Partner with Data Science on measurement: incrementality and geo lift testing, media mix model inputs, reach and frequency management, brand lift studies, and cross-channel attribution.</li>
<li>Work with creative to build a video and audio testing roadmap; manage asset specs, trafficking, and creative rotation.</li>
<li>Report on channel performance to marketing leadership with a clear read on what is working, what is not, and what we are changing.</li>
<li>Partner with finance on accruals, billing reconciliation, and budget re-forecasts.</li>
</ul>
What you bring to the team:
<ul>
<li>2+ years of hands-on paid media experience with meaningful time spent on video and/or audio buying - not solely search or social.</li>
<li>Bachelor’s degree in Statistics, Mathematics, Economics or related field OR demonstrated analytical ability or equivalent hands-on professional experience.</li>
<li>Demonstrated experience running CTV and YouTube campaigns, including hands-on work in the relevant buying platforms (for example DV360, Google Ads, Amazon DSP, The Trade Desk, Netflix, Hulu, or comparable).</li>
<li>Experience managing or working closely with a media agency: briefing, plan review, negotiation, and performance management.</li>
<li>Experience working directly with platform, publisher, or network partners.</li>
<li>Comfortable owning a substantial budget with accountability for efficiency metrics, not just execution.</li>
<li>Strong analytical skills - able to work in spreadsheets and BI tools, interrogate performance data, and connect channel metrics to business outcomes.</li>
<li>Clear written and verbal communication; able to present a point of view to leadership and push back on an agency.</li>
</ul>
Nice to have:
<ul>
<li>Streaming audio buying experience (for example Spotify, Pandora, iHeart, Audacy, or podcast networks).</li>
<li>Linear TV and Connected-TV experience, including national and local buying.</li>
<li>Direct-response or performance-oriented TV and audio background rather than purely brand.</li>
<li>Experience with incrementality or geo-based testing methodology.</li>
<li>Insurance, fintech, or another high-consideration, heavily regulated category. (good to have, not required)</li>
<li>Familiarity with ad ops and measurement tooling relevant to video and audio.</li>
<li>Exposure to attribution solution such as Media mix modeling&nbsp;</li>
</ul>
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $90,000 - $115,000.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This position is not eligible for employment visa sponsorship, now or in the future. Candidates must be able to work in the U.S. without the need for employer-sponsored visa support.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.
For more information, visit https://investors.everquote.com and follow on LinkedIn.

Senior Analyst, Paid Media

Director, Enterprise Analytics
Location:&nbsp;Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
About the role:
As Director, Enterprise Analytics, you will lead the team that is responsible for translating our&nbsp;largest customers’ needs into optimized acquisition campaigns in the EverQuote marketplace.&nbsp;You will work closely with our customers directly, and with stakeholders in Business Development, Data Science, Engineering, Product Management, to shape EverQuote’s offering&nbsp;into the best channel for profitable policy growth for insurance carriers. You will help your team&nbsp;build bridges into other parts of the Analytics organization to align carrier bidding with our own&nbsp;traffic acquisition.
You are a talented analyst and leader of analysts. You can develop and strengthen a team, but&nbsp;you also enjoy rolling up your sleeves to execute work yourself. This role is built for someone&nbsp;with range; you know how to communicate with customers, build strong cross-functional&nbsp;relationships, use quantitative methods to uncover business opportunity, and continually uplevel&nbsp;your team. You will report directly to the Head of Analytics and play a key role in shaping&nbsp;strategy across the Analytics function at EverQuote.
What you’ll do:
Team leadership: lead and strengthen the Enterprise Analytics team, developing talent&nbsp;and identifying gaps to fill&nbsp;
Stakeholder collaboration: span Analytics teams and functional boundaries to shape Enterprise strategy and deliver and optimize best-in-class performance marketing campaigns for carrier customers
Carrier collaboration: engage with and influence carriers directly, helping them translate&nbsp;goals into concrete bidding actions
Functional leadership: with the Head of Analytics, refine and execute on strategies to&nbsp;build an industry-leading Analytics function at EverQuote
What you bring to the team:
<ul>
<li>8+ years of progressive experience in Analytics or a related domain, with a focus on quantitative business problem-solving</li>
<li>Bachelor’s degree in Statistics, Mathematics, Economics or related field OR demonstrated analytical ability or equivalent hands-on professional experience.</li>
<li>Proven experience managing people, ideally including managing senior analysts or managers</li>
<li>Experience and skill in engaging B2B customers directly</li>
<li>Strong SQL skills; able to independently pull, shape, and analyze large datasets (Snowflake a plus)</li>
<li>Solid experimentation fundamentals: significance, power, incrementality measurement, confound control</li>
<li>Clear communication with both technical and executive stakeholders</li>
</ul>
Nice to have:
<ul>
<li>Experience in the insurance industry, digital performance marketing, or marketplace businesses - these experiences are valuable but not required, and a great candidate will learn these on the job</li>
</ul>
&nbsp;
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $171,900 - $185,000.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This position is not eligible for employment visa sponsorship, now or in the future. Candidates must be able to work in the U.S. without the need for employer-sponsored visa support.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.
For more information, visit https://investors.everquote.com and follow on LinkedIn.

Director, Enterprise Analytics

Senior Manager, SEM Analytics
Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
About the role:
As Senior Manager, SEM Analytics, you will be EverQuote's SEM expert and lead our SEM analytics team. You'll own SEM end to end — bid strategy, budget, campaign structure, and measurement — while managing and developing the team responsible for executing on it.
You will report directly to the VP of Growth Analytics. This role is built for someone who wants to be both the channel's technical expert and the leader who scales that expertise through a team.
What you'll do:
<ul>
<li>Own SEM end to end: bid strategy, budget allocation and pacing, campaign and account structure, keyword/query strategy, and automated/Smart Bidding dynamics across search platforms.</li>
<li>Manage and develop the SEM analytics team</li>
<li>Use SQL (Snowflake) to analyze performance: by campaign, incrementality, and connection to downstream customer outcomes.</li>
<li>Identify and execute optimization opportunities: bid adjustments, budget reallocation, structural changes, target adjustments.</li>
<li>Design, launch, and evaluate experiments (bid strategy tests, structure tests, budget tests) with rigor on significance, power, and confound control.</li>
<li>Partner with the VP of Growth Analytics on SEM strategy and portfolio-level tradeoffs.</li>
</ul>
What you bring to the team:
<ul>
<li>6+ years in performance marketing, with direct, hands-on ownership of SEM campaigns and budgets — not agency-managed, not analytics-only oversight of someone else's execution.</li>
<li>Bachelor’s degree in Statistics, Mathematics, Economics or related field OR demonstrated analytical ability or equivalent hands-on professional experience.</li>
<li>Proven experience managing people, ideally including managing senior analysts or managers.</li>
<li>Deep fluency in SEM mechanics: bid strategy, automated/Smart Bidding dynamics, budget pacing, account and campaign structure, keyword/query management.</li>
<li>Strong SQL skills; able to independently pull, shape, and analyze large datasets (Snowflake a plus).</li>
<li>Solid experimentation fundamentals: significance, power, incrementality measurement, confound control.</li>
<li>Clear communication with both technical and executive stakeholders.</li>
</ul>
Nice to have:
<ul>
<li>Experience in an internet marketplace or lead-gen business (insurance industry experience is not required — SEM depth matters more than vertical familiarity).</li>
<li>Comfortable using AI tools to accelerate analysis and execution.</li>
</ul>
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time role is $119,800-$150,000&nbsp;
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.
For more information, visit <a href="https://investors.everquote.com">https://investors.everquote.com</a> and follow on LinkedIn.

Senior Manager, SEM Analytics

Lead Analyst, SMS Remarketing
Location: Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
About the role:
As the Lead Analyst, SMS Remarketing, you will own EverQuote’s SMS remarketing channel end to end. You are the single expert and owner for how EverQuote shows up in consumers’ text messages, responsible for everything from message strategy and deliverability to compliance, measurement, and the revenue the channel drives back into the marketplace.
You will report to the Analytics Lead, Remarketing and work closely with Engineering, Product, and Data Science. This is a deeply technical, high-ownership role. We are looking for someone who is a true SMS expert and a true analyst, equally comfortable diagnosing a carrier deliverability issue and building the analysis that tells leadership what the channel is worth and where to push next.
What you’ll do:
End-to-End SMS Channel Ownership
<ul>
<li>Own the SMS remarketing channel as the single accountable expert, from strategy and roadmap through execution and performance.</li>
<li>Design and manage the message program: audience segmentation, cadence, templates, flows, and the send calendar, coordinated with the broader remarketing program.</li>
<li>Set the direction for where the channel goes next and give input on remarketing strategy within your area.</li>
</ul>
Deliverability &amp; Messaging Infrastructure Health
<ul>
<li>Own SMS deliverability end to end: carrier acceptance, A2P/10DLC registration health, throughput and queue management, number and pool management, and sender reputation.</li>
<li>Monitor and diagnose delivery issues (blocked, undeliverable, and invalid-number errors), quantify their impact, and drive fixes with Engineering.</li>
<li>Build and maintain monitoring for delivery health and opt-out rates so problems are caught early, not after they cost revenue.</li>
</ul>
Compliance &amp; Consumer Trust
<ul>
<li>Own SMS compliance in full: TCPA, quiet-hours handling, consent capture, and opt-out (STOP/HELP) processing and suppression logic.</li>
<li>Keep the program defensible and consumer-first, staying ahead of regulatory changes such as evolving consent standards.</li>
</ul>
Analytics, Measurement &amp; Experimentation
<ul>
<li>Own end-to-end measurement for the channel: engagement, opt-out and deliverability diagnostics, funnel performance, and the connection from SMS engagement to downstream marketplace revenue.</li>
<li>Use SQL to pull and shape your own data, build dashboards, and produce clear readouts for technical and non-technical stakeholders.</li>
<li>Measure the true incremental impact of the channel, not just surface engagement, using holdout and control-group designs, so we know what SMS is actually adding on top of everything else.</li>
<li>Design, launch, and evaluate experiments across cadence, creative, timing, and segmentation, and use the results to optimize.</li>
<li>Bring analytical depth to hard channel problems such as opt-out drivers and suppression decisions.</li>
</ul>
Experimentation &amp; 0 to 1 Program Building
<ul>
<li>Take new SMS flows and pilots from 0 to 1, document learnings, and build the SMS playbook for what works at EverQuote.</li>
</ul>
Cross-Functional Collaboration &amp; Knowledge Sharing
<ul>
<li>Partner with Engineering, Product, and Data Science on tooling, data flows, and channel improvements.</li>
<li>Serve as the go-to SMS resource for the team, mentor more junior analysts, and keep the channel well documented so it does not live only in your head.</li>
</ul>
What you bring to the team:
<ul>
<li>5+ years of experience in SMS, messaging, lifecycle, or growth analytics, with hands-on ownership of SMS or messaging programs.</li>
<li>Bachelor’s degree in Statistics, Mathematics, Economics or related field OR demonstrated analytical ability or equivalent hands-on professional experience.</li>
<li>Deep, practical understanding of how SMS works, including several of: the carrier ecosystem and A2P/10DLC registration, deliverability and delivery-error handling, sending infrastructure (throughput, number and pool management, sender reputation), and message program design (segmentation, cadence, templates).</li>
<li>Strong grasp of SMS compliance: consent, opt-out handling, TCPA, and quiet-hours rules.</li>
<li>Proficient in SQL, comfortable querying and shaping large datasets independently (Snowflake a plus).</li>
<li>Solid experimentation and A/B testing fundamentals (significance, basic power), including measuring incrementality through holdouts or control groups.</li>
<li>Comfortable using AI tools to accelerate your work, and eager to build them into how you analyze, monitor, and ship.</li>
<li>Clear written communication for briefs, experiment docs, and results.</li>
<li>Ability to own and prioritize multiple workstreams in a fast-paced, test-and-learn environment.</li>
</ul>
Nice to have (but not required):
<ul>
<li>Experience with dbt or warehouse modeling and BI tools.</li>
<li>Marketplace, lead-gen, or ecommerce funnel experience.</li>
</ul>
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $110,100-$126,600.
In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.
Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This position is not eligible for employment visa sponsorship, now or in the future. Candidates must be able to work in the U.S. without the need for employer-sponsored visa support.
EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request..
For more information, visit https://investors.everquote.com and follow on LinkedIn.

Lead Analyst, SMS Remarketing

Lead Analyst, Site Analytics
Location: Cambridge, MA / Hybrid&nbsp;
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
About us:
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.
Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.
As the Lead Analyst, Site Analytics, you will own conversion rate optimization and site analytics for EverQuote. You will start focused on one of our core business areas and grow over time to own site analytics across all areas, responsible end to end for understanding how consumers move through our sites, why they convert or drop, and how traffic is orchestrated and distributed across sites and monetization paths, and for turning that understanding into revenue.
You will report to the Analytics Lead, and work closely with Product, Engineering, and Design. This role starts as an individual contributor, but it is built to grow. We are specifically looking for someone who wants to become a manager and eventually build and lead a site analytics team.
What you’ll do:
CRO &amp; Site Funnel Analytics
<ul>
<li>Own conversion rate optimization and funnel analysis for your area, starting with the business area you are assigned: full-form and funnel diagnosis, drop-off analysis, and site performance monitoring.</li>
<li>Turn analysis into concrete recommendations that move conversion and revenue, and own the outcomes.</li>
</ul>
Traffic Orchestration &amp; Distribution Analysis
<ul>
<li>Analyze how traffic is routed, allocated, and distributed across sites and monetization paths, and where the opportunities and leaks are.</li>
<li>Own the end-to-end view from traffic coming in to revenue going out, connecting site behavior to distribution decisions.</li>
</ul>
Experimentation &amp; Measurement
<ul>
<li>Design, size, and run experiments with rigor (significance, power, and variance-reduction approaches), and know when to call them.</li>
<li>Build measurement frameworks that tie site and distribution changes to revenue, and produce clear readouts for technical and non-technical stakeholders.</li>
</ul>
Cross-Site Expansion
<ul>
<li>Start in one business area and build repeatable frameworks and tooling that generalize, so your work scales from one area to all three.</li>
<li>Become the go-to person for site analytics across all of EverQuote’s business areas over time.</li>
</ul>
Tooling, Automation &amp; Knowledge Sharing
<ul>
<li>Build dashboards and tools, automate recurring reporting, and document your work so it is usable by others.</li>
<li>Serve as a technical resource for the team and mentor more junior analysts, consistent with the path toward managing.</li>
</ul>
Cross-Functional Leadership &amp; Collaboration
<ul>
<li>Partner closely with Product, Engineering, and Design to align on priorities and ship changes.</li>
<li>Grow into people leadership: driving alignment, mentoring, and eventually building and leading a team.</li>
</ul>
What you bring to the team:
<ul>
<li>5+ years of experience in analytics, with a focus on CRO, site, product, or growth analytics.</li>
<li>Bachelor’s degree in Statistics, Mathematics, Economics or related field OR demonstrated analytical ability or equivalent hands-on professional experience.</li>
<li>Strong track record of end-to-end analysis: framing an ambiguous problem, doing the work, and landing a recommendation that drove a decision.</li>
<li>Proficient in SQL, comfortable querying and shaping large datasets independently (Snowflake a plus).</li>
<li>Solid experimentation and A/B testing depth: significance, power and sample sizing, and ideally variance-reduction techniques.</li>
<li>Strong funnel and conversion analysis skills.</li>
<li>Comfortable using AI tools to accelerate your work, and eager to build them into how you analyze, monitor, and ship.</li>
<li>Clear written and verbal communication with technical and non-technical stakeholders.</li>
<li>Interest in growing into management, ideally with some experience mentoring or leading others.</li>
</ul>
Nice to have (but not required):
<ul>
<li>Experience with dbt or warehouse modeling and BI tools.</li>
<li>Marketplace, lead-gen, or ecommerce funnel experience.</li>
</ul>

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