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benefits analyst

University of California - San Francisco

<div>Job Summary:
The Benefits Analyst independently uses UC Group Insurance Plan Regulations, University of California Retirement Plan (UCRP) Plan Regulations, Summary Plan Descriptions and federal and state legislation to provide consultation and resolve, often complex, health welfare and retirement plan problems; provides guidance to HR Generalists, Academic Personnel Analysts, UCPath Center, RASC, &amp; UCOP representatives, and departmental representatives in support of this function. Functions with a high degree of autonomy and may serve as a benefits expert on campus level work groups and task forces.
Under minimal supervision, this position serves as an experienced benefits analyst for the UCSF Benefits Office. Activities include: providing consultation to employees and their dependents, Academic Personnel Analysts, HR Generalists, UCPath representatives, payroll administrators, managers, and supervisors, on UC Health &amp; Welfare Plans and UCRP. The analyst engages with UCPath, RASC, UCOP, departments, and key liaisons to resolve complex and escalated problems related to employee eligibility and enrollment. Coordinating with HR, Payroll, the UCPath Center, the Retirement Administration Service Center (RASC), and the UC Office of the President (UCOP) to analyze and resolve complex and escalated issues related to UCRP retirement coding and service credit accrual; providing retirement counseling services, UCRP disability counseling and administration; providing and consulting on service credit buyback estimates; serves on a team to provide education such as New Employee Orientations, new employee benefits consultations, and ad hoc presentations on Health, Welfare and UCRP benefits programs; creates and provides training to HR Teammates, departments, and benefits teammates alike. 
Department Summary:
The UCSF Benefits Office is responsible for the local administration of the University of California Retirement System and Health and Welfare Benefit Programs across the UCSF enterprise. In addition to providing benefits consulting services to UCSF faculty and staff across Health &amp; Campus, the UCSF Benefits Office also provides services and administers unique benefits programs dedicated to postdocs and residents/fellows. Clients supported by the UCSF Benefits Office total approximately 35,000 FTE employees (and their dependents):
<ul><li>Total UCSF Faculty and Staff (Health &amp; Campus): approximately 30,900
</li></ul><ul><li>UCSF Residents/Clinical Fellows: approximately 1,900
</li></ul><ul><li>UCSF Postdoctoral Scholars: approximately 1,200</li></ul></div>

Benefits Analyst

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 Samba is building the future of cross-channel media measurement, and we are seeking our next rockstar Measurement Analyst to build with us!
 
 
 
 Samba is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world&rsquo;s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more.&nbsp;
 
 
 
 At Samba, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science.
 
 
 
 
 
 
 
 
 What You'll Do
 
 <ul>
 
 <li>
 
 Analyst Tasks
 
 
 <ul>
 
 <li>
 Extract data from Samba databases (e.g. conversion rate by audience segment).
 </li>
 
 <li>
 Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel).&nbsp;
 </li>
 
 <li>
 Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics.&nbsp;
 </li>
 
 <li>
 Visualize data to make it more accessible internally and externally.
 </li>
 
 </ul>
 
 </li>
 
 <li>
 
 Administrative Tasks
 
 
 <ul>
 
 <li>
 Independently manage, maintain, and execute the JIRA board ticketing system.
 </li>
 
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 Define mechanisms (e.g. weekly standups, office hours) to manage workflows.
 </li>
 
 <li>
 Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Who You Are
 
 <ul>
 
 <li>
 
 The James/Jayne Bond of Data Analysis
 
 
 <ul>
 
 <li>
 Sophisticated technical mastery of SQL, Python, Databricks, BigQuery
 </li>
 
 <li>
 Cool under pressure - thrives in tackling high-stakes, complex data challenges.
 </li>
 
 <li>
 Resourceful in problem solving - enjoys working independently to solve issues.
 </li>
 
 <li>
 Unconventional - does things as they should be done, not have been done.
 </li>
 
 <li>
 Goal-oriented - relentlessly driven to achieve goals and team success.&nbsp;
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Required Skills &amp; Experience
 
 <ul>
 
 <li>
 4-8 years of experience in a technical data analyst role.
 </li>
 
 <li>
 Absolute technical fluency in SQL, Python, Databricks, BigQuery.
 </li>
 
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 Capabilities in statistical analyses, modeling, and exploratory data investigations.&nbsp;
 </li>
 
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 Strong communication skills, obsessively organized, meticulously detail-oriented.
 </li>
 
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 Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows.&nbsp;
 </li>
 
 </ul>
 
 
 
 
 Preferred Skills &amp; Qualifications
 
 <ul>
 
 <li>
 Experience in adtech and/or media, marketing, or measurement analytics.
 </li>
 
 <li>
 Experience independently managing JIRA or similar ticketing and prioritization systems.
 </li>
 
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 Experience identifying opportunities for scaling common asks into repeatable processes.
 </li>
 
 </ul>
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 Actual salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba TV&rsquo;s total compensation package for employees. Other rewards may include an annual bonus opportunity, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
 
</div>

Measurement Analyst

MaintainX

<div>
 MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
 
 
 We're growing fast and hiring the talent to match.
 
 
 As a
 
 Data Analyst - GTM
 
 , you will use your expertise in analysis &amp; BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data &amp; Analytics team - who are tasked with supporting MX as a whole.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner&mdash;anticipating needs &amp; prioritizing execution
 </li>
 <li>
 Accountable for marketing BI infrastructure: Build, maintain &amp; enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
 </li>
 <li>
 Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
 </li>
 <li>
 Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
 </li>
 <li>
 Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
 </li>
 <li>
 Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
 </li>
 <li>
 Budget setting: Support stakeholders with goal setting &amp; related reporting
 </li>
 <li>
 Information sharing: Present dashboards, results and recommendations
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
 </li>
 <li>
 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
 </li>
 <li>
 You're a builder, not just an analyst: You don't just answer questions&mdash;you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
 </li>
 <li>
 You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
 </li>
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 You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
 </li>
 <li>
 Strong proficiency in Tableau and Salesforce
 </li>
 <li>
 Excellent SQL skills and experience with database management systems &amp; pipelines
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Competitive salary and meaningful equity opportunities.
 </li>
 <li>
 Healthcare, dental, and vision coverage.
 </li>
 <li>
 401(k) / RRSP enrollment program.
 </li>
 <li>
 Take what you need PTO.
 </li>
 <li>
 A Work Culture where:
 </li>
 <ul>
 <li>
 You&rsquo;ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
 </li>
 <li>
 We believe in meritocracy, where ideas and effort are publicly celebrated.
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 Our mission is to deliver one platform for maintenance, repair &amp; operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That&rsquo;s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
 
 
 MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>

Data Analyst, GTM

<div>Applies skills as a seasoned clinical applications professional to projects of medium size at all levels of complexity, or portions of large projects.
The Epic Build Analyst&rsquo;s role includes the design, build, configuration, and support of research projects within UCSF&rsquo;s APeX Enabled Research (AER) team. Most projects will be in partnership with other UCSF technical teams and involve highly customized research solutions. Communication skills and inventive technical solutioning are crucial.
The AER team provides a large array of services to the UCSF Research community, including project consultation, grant support, budget estimations, and project implementation and support. Project examples include:
<ul><li>Development of EHR-based interventions via clinical trials embedded within healthcare delivery systems to generate scientific evidence while delivering healthcare.
<ul><li>Enabling UCSF researchers with algorithms, digital tools and / or clinical interventions with strong evidence of feasibility and acceptability.
</li><li>Develop technical approaches and budgets in order to implement these tools within the electronic medical record.
</li><li>Supporting the development of scalable, low cost infrastructure to enable ongoing research.
</li></ul></li></ul>The APeX Enabled Epic Build Analyst will provide support the UCSF clinical research community by appliying their advanced Epic skills to build, configure and support projects of medium size at all levels of complexity. 
Department Overview:
The University of California, San Francisco (UCSF) Department of Information Technology Academic Research Systems (ARS) group is chartered to provide data services and infrastructure that support the UCSF Research Community&rsquo;s computing and analytic requirements through centralized informatics services in the areas of Data, Tools, Secure Compute Environments, and Consulting Services.</div>

Epic Build Analyst

Figure

<div>About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we've originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance.

About the Role

At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, serving as the analytical engine that powers the entire business. From architecting the data models that drive risk and capital allocation to delivering the reporting and insights that guide growth strategy and operational excellence, we ensure every department has the intelligence needed to win.

As a Senior/Staff Data Analyst, you will be a vital driver of our growth and product evolution, partnering closely with Marketing, Product Management, and Engineering to optimize the borrower journey. Your work will directly influence how we acquire customers, the efficiency of our loan application funnel, and the long-term value of our customer base.

You will bridge the gap between user behavior and business strategy, combining analytical rigor with product intuition to help leaders understand the &quot;how&quot; and &quot;why&quot; behind the customer experience. While your primary focus is on the front-end growth engine, you are a generalist at heart - capable of architecting data models that serve the entire organization's need for clear, actionable intelligence from top-of-funnel to capital allocation.

What You'll Do
<ul>
<li>Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, &quot;gold-standard&quot; datasets. You will ensure our product and acquisition data is clean, organized, and optimized for cross-functional use.</li>
<li>Build and maintain scalable frameworks to monitor the loan application funnel identifying friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan.</li>
<li>Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to track KPIs like CAC (Customer Acquisition Cost), Approval Rates, and Origination Volume in real-time.</li>
<li>Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring we make evidence-based decisions on everything from landing page optimization to credit offer presentation.</li>
<li>Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.</li>
</ul>
What We Look For
<ul>
<li>3&ndash;5+ years of experience using data to drive measurable business impact, specifically within Growth, Product Analytics, or Marketing Science.</li>
<li>Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications.</li>
<li>Proven ability to design and maintain structured datasets (star schemas, dbt models) that turn messy clickstream and CRM data into reliable tables for the entire business.</li>
<li>You don't just report data; you build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity.</li>
<li>Strong grasp of statistical concepts like survival analysis (to model time-to-repayment or time-to-next-loan), causal inference, and significance testing.</li>
<li>Understanding of the lending lifecycle from initial acquisition through underwriting to funding and how product changes impact portfolio quality.</li>
<li>Clear, confident ability to translate complex data trends into actionable stories for both technical teams and executive leadership.</li>
<li>A generalist mindset you are comfortable navigating the ambiguity of a fast-moving environment and can apply your analytical toolkit to solve problems across different business domains.</li>
</ul>
Bonus Points
<ul>
<li>Experience building or working with multi-touch attribution (MTA) to understand the ROI of various marketing channels.</li>
<li>Familiarity with the mechanics of credit products and how user experience influences borrower selection and risk.</li>
<li>You can't resist digging into a data anomaly to find the &quot;why&quot; behind a sudden shift in application volume or a drop in funnel conversion.</li>
<li>You embrace learning from mistakes and are energized by the challenge of optimizing digital lending experiences through technical solutions.</li>
</ul>
Salary
<ul>
<li>Base Compensation Range: $110,000-$150,000/yr</li>
<li>25% annual bonus target, paid quarterly</li>
<li>Company equity in the form of RSUs</li>
</ul>
This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate's experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits
<ul>
<li>Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans 
Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits 
Employer-paid life and disability insurance 
11 observed holidays and PTO plan 
Up to 12 weeks of paid family leave 
Continuing education reimbursement</li>
</ul>
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-MM1 #LI-Remote</div>

Senior Data Analyst, Lending

LawnStarter

<div>About LawnStarter
LawnStarter is the nation's leading on demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We are expanding beyond lawn care to become the one stop shop for all home services. Becoming the most discovered, cited, and trusted brand in our category is how we get there.
About the Growth Team
Growth owns the full acquisition funnel across our brand portfolio. Some of the most recognized names in outdoor services, reaching millions of homeowners every year. SEO and organic discovery are foundational to how customers find us, and this role leads the team responsible for making that happen at scale. You will report directly to the CMO and operate at the intersection of content, technical SEO, product, and the emerging world of AI powered search.
The Challenge
The game changed. Rankings are no longer the prize. Recommendation is. When a homeowner asks ChatGPT, Claude, Perplexity or Google AI who to hire, our job is to be the answer. Not page one. The answer.
That takes two bets running together. First, brand presence across every surface where homeowners and machines form trust. PR, journalists, creators, community platforms, review sites, Reddit, Nextdoor, partner ecosystems. Authority comes from the network, not from the page. Second, exposing first party data nobody else can publish. Pricing patterns. Completion times. Regional demand. Marketplace outcomes. That is the kind of original, expert evidence AI systems reward and that commodity SEO can no longer produce.
We have a talented team and strong brand equity. What we need is the leader who already operates this way and has the results to prove it. Not one we have to convince.
The Role
You will own organic search and AI discovery across our brand portfolio. You set the vision, the roadmap, and the standards for how we compete in a world where Google, ChatGPT, Perplexity, and AI Mode are all becoming primary discovery surfaces.
The team is small by design. One SEO analyst. A lean research and editorial group that produces data driven studies and guides. A no code publishing platform that gives you direct control of thousands of pages. Several strategic functions sit intentionally unowned and waiting for you to define. AI visibility tracking. Editorial direction. Content pruning. Expert sourcing strategy. You decide what to keep, what to retire, and what to build. We are scaling leverage, not headcount.
This is a strategic, high visibility role. You will shape company wide priorities, partner with engineering, data, product, design, and executive leadership, and be the internal authority on where organic discovery is heading and what it takes to win.
What makes this role different.<ul><li>
You are building a new playbook, not optimizing an old one. The opportunity requires fresh thinking about how technical SEO, content, structured data, and AI visibility work together in 2026 and beyond.</li><li>
Multiple major brands, millions of users, real revenue stakes. Organic drives a meaningful share of our business. The decisions you make here compound across our entire brand portfolio at scale.</li><li>
AI Search is the frontier. Google AI Overviews, ChatGPT, Perplexity. You are not just optimizing for blue links anymore. This role requires genuine expertise in how LLMs and answer engines discover, evaluate, and cite content.</li><li>
You have leverage. A small internal core, a no code publishing platform that gives you direct control of thousands of city, near-me, service, and informational pages (including schema markup and meta data), and first party data nobody else in the category can publish. No engineering dependency. No sprint queues. Move at the speed of a hypothesis. Direct what is here. Build what is missing. Decide what to add.</li></ul>
What You'll Own<ul><li>
Organic strategy across our brand portfolio. The vision, roadmap, and standards for how our brands compete in organic search and AI powered discovery.</li><li>
AI Search visibility. Establishing our brands as cited, authoritative sources in Google AI Overviews, ChatGPT, Perplexity, and emerging conversational search surfaces. Through answer first content architecture, entity authority, and structured data that AI systems can discover, extract, and trust.</li><li>
Technical SEO and architecture. Large scale technical infrastructure, Core Web Vitals, structured data, crawl efficiency, and the product architecture decisions that drive organic performance.</li><li>
Content strategy and production. Directing the editorial work that produces the pages, guides, studies, and resources that rank, get cited, and convert.</li><li>
Team leadership and hiring. Assessing the current core, making the talent calls that need to be made, and building the team you need for the new direction.</li><li>
Cross functional partnership. Working closely with Engineering, Analytics, and Data to build the technical and measurement foundation organic needs to operate at scale.</li></ul>
Problems to Solve
Recovering and growing traffic at scale One of our brands has seen significant traffic decline. Rankings that used to sit in positions 3 to 5 have slipped to page 2. Diagnosing the root cause is the first order of business. Whether the driver is algorithm shifts, content quality, technical debt, AI Search cannibalization, or some combination, the recovery plan needs to address it. The answer will not be simple, and it will not be found by outsourcing it to a framework.
Winning in AI powered discovery The rules of organic visibility are being rewritten in real time. Google AI Overviews, ChatGPT, and Perplexity are becoming primary discovery surfaces for the queries that matter most to us. Most brands are still figuring out how to show up in these environments. How do you build a structured, repeatable approach to AI Search visibility and turn it into a competitive advantage before others catch up?
Going from defense to offense For the last several years it has felt like we have been playing defense as the landscape shifted around us. The old playbook worked until it didn't. This role flips the posture. Go back on offense. Dominate the next era of organic discovery across more verticals than before. How do you go from reacting to leading in the first 90 days?
Defining how to measure AI Search Traditional SEO has clear signals. Rankings, impressions, clicks. AI Search visibility is murkier, but the signals are there if you know where to look. Log data, crawler activity, and emerging tooling can surface a lot, but not all are wired up yet. How do you build a measurement approach that turns raw signals into a reliable view of AI Search visibility, one you can actually use to make decisions and demonstrate progress? 
Requirements 
Who You Are
Sees around corners. You have been building for where search is going, not where it has been. You followed the AI search shift before it was conventional wisdom and you can articulate, specifically, what it means for a business like ours. This is unlikely to be a good fit if you are still primarily optimizing for the 2020 version of SEO or treat AI search as a future concern.
Understands external visibility as foundational. You recognize that in the AI era, authority comes from being repeatedly cited and mentioned across external networks. Journalists, creators, review platforms, industry directories, communities. You have built external earned media strategies and understand how to navigate those ecosystems. You see this as core SEO strategy, not bolt on marketing work. This is unlikely to be a good fit if you view SEO as primarily on site optimization or if you see earned media and PR as separate from organic search strategy.
Understands organic as a revenue driver, not just a traffic channel. You operate with a business mindset. You tie organic initiatives to CAC, acquisition, and revenue impact, not just impressions and clicks. You can speak the language of payback periods, cohort economics, and margin contribution. Organic is foundational to how we grow, and you see your job as compounding revenue value across the entire brand portfolio, not maximizing traffic at any cost. This is unlikely to be a good fit if you are satisfied with organic metrics that don't connect to downstream business outcomes.
Diagnoses fast, acts faster. You use data to find the signal in the noise, make a call, and move. You are not the person who needs six more weeks of research before forming a hypothesis. You know the difference between analysis that unblocks action and analysis that substitutes for it. This is unlikely to be a good fit if you are known for thorough research that rarely translates into a clear recommendation.
Builds and elevates teams. You have led at scale before and made the hard talent calls when they were needed. You are also comfortable starting small and building the team you need around you. You develop leaders, not just contributors, and you create an environment where people know what great looks like. This is unlikely to be a good fit if you prefer to inherit a big team rather than build one.
A company wide evangelist. You don't just own SEO. You sell the vision for it. You can explain the AI Search opportunity to a CFO as clearly as you can explain it to a technical SEO. You influence roadmaps, secure investment, and get cross functional partners excited about organic. This is unlikely to be a good fit if you prefer operating within your lane and leaving the advocacy to others.
Technically fluent and willing to ship. You can get into the weeds on structured data, crawl budgets, and Core Web Vitals, and you know when to. You also know when to step back and set direction. With a small team, the line between executing and leading blurs. You are comfortable on both sides of it. This is unlikely to be a good fit if you need a big team underneath you to do the work.
AI native. You use AI tools daily. For research, content, analysis, and workflow acceleration. More importantly, you understand how LLMs and generative AI work well enough to build an AI Search strategy grounded in how these systems actually discover and evaluate content. This is unlikely to be a good fit if your AI knowledge is surface level or limited to using ChatGPT for drafts.
This Role Is NOT<ul><li>
A pure IC role. You will execute alongside the team and roll up your sleeves on the work that needs doing. With a small core and several functions unowned, you cannot delegate everything from day one. But you also own the direction, the hiring, and the standards. If you only want to ship the work yourself and report up, this is too broad. If you only want to set strategy and never touch the work, this is too in the weeds.</li><li>
A single brand role. You own SEO and AI Search across our entire brand portfolio. Every brand matters. If you would prefer to go deep on one and treat the others as secondary, this isn't the right fit.</li><li>
A research and recommend role. We don't need more analysis of what competitors are doing. We need a clear point of view on where we are going and the execution to get there. If you are most comfortable staying in research mode, this role will frustrate you.</li><li>
A role waiting on engineering. Our no code web publishing platform migration puts production pages directly in marketing's hands. Thousands of organic city and near-me pages, partner pages, all of it. If slow execution has been your constraint before, it won't be here. What you will need is the judgment to use that speed well.</li></ul> 

Benefits 
<ul><li>
Base salary. $170,000 to $190,000 USD.</li><li>
Equity. Organic discovery is foundational to how we grow. The value you create compounds across our entire brand portfolio and every channel downstream. We want you invested in that long term outcome.</li><li>
Healthcare. Medical, dental, and vision.</li><li>
Fully remote. Work from anywhere in the US.</li><li>
Flexible PTO. Focused on outcomes.</li></ul>
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.</div>

Director of SEO and Agentic Search

Apple

The Display Hardware team is looking for a talented Electrical Engineer to join the development of next generation displays for Mac products. 
 
Description 
 
You will be working in a dynamic and collaborative environment that fosters creativity and innovation. Join us and be part of fast moving and exciting team that creates and integrates the cutting-edge display technologies into exciting new products.&quot;,&quot;responsibilities&quot;:&quot;Design circuit boards and conduct electrical characterization and validation for technology development and product prototypes 
 
Analyze and evaluate design feasibility to meet various requirements, including optics, signal integrity/power integrity, mechanical/thermal constraints and system coexistence 
 
Participate in cross-functional design reviews and contribute to the overall system design 
 
Communicate and present technology updates and project status to cross-functional teams 
 
Perform failure analysis on electrical, mechanical, and optical issues 
 
Support prototype builds and conduct debugging and failure analysis for issues in manufacture 
 
Preferred Qualifications 
 
Self driven and highly motivated with passion for crafting and innovating, attention to details, strong problem-solving skills 
 
Hands-on maker demonstrated through hardware projects, passion for bringing ideas to life 
 
Need to be comfortable working in fast paced and highly collaborative work environment 
 
Proficiency in EE validation/characterization tasks, and familiar with lab equipment and test automation 
 
Develop factory test plan and manage manufacturer partner to conduct data collection, and analyze large-scale data 
 
Ability to communicate and present technology updates and project status to executives and functional teams 
 
Consumer electronics and high-volume production experience 
 
Modern display technologies, such as LCD, TFT, OLED, LED etc. 
 
Minimum Qualifications 
 
BS and a minimum of 10 years relevant industry experience 
 
Experience in mixed-signal EE design at either IC or PCB level 
 
Experience in circuit/math analysis and modeling, with proficiency in simulation tools like SPICE or MATLAB. 
 
Experience with design and analysis in one of these areas: power electronics, analog/digital circuits, or high-speed signal integrity 
 
Hands-on experience in hardware prototype bring-up, debugging, validation and failure analysis 
 
Experience with full ECAD workflow for schematic capture, PCB layout, BOM generation 
 
Skills in scripting, factory data processing, or test automation, and programming experience in Python, Shell script, MATLAB or similar 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Display Electrical Engineer

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