Role Description elastic.co is how Elastic talks to the world — it's where potential customers first encounter our products and where existing ones come to learn more. As a Software Engineer II on the Web Engineering team you'll own meaningful parts of that experience: building the features, systems, and infrastructure that keep the site fast, reliable, and effective at scale. The ideal candidate should have experience with front-end technologies plus an interest in CI/CD. You'll work closely with stakeholders across the company to ship features that improve the site's quality and performance in a distributed, async-first environment. What You Will Be Doing - Develop and maintain the front-end stack from component design to deployment pipeline, and ship production code end-to-end. - Instrument client-side performance (Core Web Vitals, error tracking, real-user monitoring) alongside backend logging, metrics, tracing, alerting, and dashboards. - Partner with product managers, designers, and other developers to build, test, and release features for elastic.co. - Write clean, maintainable, and well-documented code. - Participate in code reviews for your team. - Diagnose and resolve production issues spanning client regressions to backend failures, and participate in an on-call rotation for an always-on service. Qualifications - 3+ years working in a frontend-focused role with proven TypeScript and React depth across component architecture, performance, and state management. - Working proficiency in at least one of Node.js, Python, or Go. - Experience owning CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) end-to-end, including front-end build tooling, bundle optimization, and deployment automation without a dedicated ops team. - A track record of building for high availability, security, and scalability at real production scale. - Ability to work autonomously in a globally distributed team. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Embracing parenthood with a minimum of 16 weeks of parental leave.

Role Description AccuWeather is seeking a mid-level iOS Developer to support the iOS team at AccuWeather. This position will directly report to the Senior Manager for App Technologies. The iOS Developer has a passion for building world-class mobile products and strives to deliver the best experience for AccuWeather users. This role is a unique opportunity to be instrumental in developing our global mobile platform. - Advise, collaborate, and provide input to ensure the technical feasibility of the product roadmap - Collaborate with Product and Design teams to create elegant and intuitive experience for users - Promote clean and structured code by providing code review and feedback to other team members - Resolve defects, support testing efforts and deploy production code - Optimize application for maximum speed and scalability - Build reusable code and libraries for future use - Evaluate new and existing frameworks, technology, platforms, and tooling Qualifications - Minimum of 3 years of experience with developing iOS applications. - Knowledge of Swift, SwiftUI, and other Apple frameworks - Experience with a presentation architecture MVVM/MVC + Coordinator pattern - Experience with SwiftUI and Core Data - Experience with location technologies is a plus - Experience with version control systems and CI/CD processes - Experience within an Agile delivery team to iteratively plan and develop products - Knowledge of packaging, signing, and provisioning mobile applications - Experience with iOS StoreKit for handling in-app purchases and subscriptions - Experience with Home screen and Lock screen widgets - Experience with the following is a plus: - Reactive programming Combine or RxSwift framework - WebKit framework and/or web interoperability - SOLID and Clean Code principles - Clean Architecture Company Description AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. - Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. - AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world. - Our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. - AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. - The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms. - AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally.

Role Description Our client is a fast-growing marketing agency serving over 150 home service businesses. They specialize in performance-driven campaigns and are heavily investing in AI and automation to improve lead generation, tracking accuracy, and operational efficiency. They are looking for a hands-on Marketing Systems Engineer (AI & Ad Tech) with proven experience in marketing/ad tech environments to build and scale internal systems that directly support campaign performance and revenue operations. This is a builder role, not a strategy-only position. You will develop internal tools, integrate AI into marketing workflows, and improve how the agency operates across ad platforms, tracking systems, and CRM-driven pipelines. You’ll work closely with leadership, media buyers, and operators to turn ideas into production-ready systems that directly impact campaign performance and lead conversion. Key Responsibilities - Internal Tool Development (Primary Focus) - Build and deploy internal tools using Next.js, React, and Python - Develop marketing dashboards, reporting systems, and operational tools - Replace manual workflows with scalable, automated solutions - Marketing Data, Tracking & Attribution (Core Focus) - Implement and optimize Meta Pixel and Conversion API (CAPI) - Ensure accurate event tracking, deduplication, and attribution - Build pipelines connecting ad platforms → backend systems → dashboards - Develop reporting systems that enable campaign optimization (ROAS, CPL, conversion quality) - AI Integration in Marketing Workflows - Apply AI to real marketing use cases such as: - Ad copy and creative generation - Lead scoring and qualification - Campaign insights and reporting automation - Work with APIs such as OpenAI and similar AI platforms - Build AI systems embedded into live marketing and operational workflows - CRM & Lead Lifecycle Automation (Critical) - Integrate and automate CRM systems such as GoHighLevel, Close CRM, HubSpot, or similar - Build systems connecting lead capture → CRM → follow-ups → conversion tracking - Implement automations including lead routing, pipeline management, and conversion syncing (offline events/CAPI) - Ensure data consistency between ad platforms and CRM outcomes - Rapid Execution & Iteration - Ship quickly, test, and iterate based on real campaign data - Collaborate with media buyers to solve campaign and operational bottlenecks - Continuously improve systems that impact marketing performance and efficiency Qualifications - 4–6+ years of hands-on software engineering experience - Strong full-stack skills (React / Next.js + Python) - Proven experience building and deploying production-level tools and systems - Experience working with APIs, webhooks, and automation systems - Active use of AI tools in day-to-day work - Hands-on experience working in marketing or ad tech environments (agency or performance marketing preferred) - Experience implementing or working with Meta Pixel and/or Conversion API (CAPI), including event tracking, deduplication, and attribution - Experience building dashboards or reporting systems for marketing campaigns (e.g., Meta Ads performance) - Hands-on experience integrating and automating CRM systems (e.g., GoHighLevel, Close, HubSpot, or similar) - Experience connecting ad platforms with CRM systems for attribution and reporting - Builder mindset with a strong bias toward execution Nice to Have - Experience working in a performance marketing agency environment - Familiarity with paid media metrics (ROAS, CPL, CAC, conversion rates) - Experience with tools like Zapier, Make, or similar automation platforms - Understanding of data pipelines and attribution challenges (e.g., iOS/privacy changes) What Success Looks Like - Internal tools actively used by media buyers and operators - Reduced manual work across campaign and CRM workflows - Accurate and reliable tracking and attribution across systems - Faster execution of campaigns and reporting - AI-driven systems improving lead quality, conversion rates, and efficiency Interview Process - Initial Phone Screen - Video Interview with Pavago Recruiter - Client Interview - Offer & Background Verification

• Take ownership of significant pieces of the Developer Platform, across monorepo CI/CD, the Agentic AI platform (DriftlessAF), shared build infrastructure, or the change-throughput substrate, and contribute to technical direction alongside the rest of the team. • Improve the speed, reliability, and developer experience of the monorepo CI/CD pipeline so engineers spend more time shipping and less time waiting on or debugging builds. • Contribute to the next generation of change throughput — exploring substrates beyond PR-based workflows for agent-driven changes, helping enable trusted agents to commit directly to main with automated validation, and supporting AI-assisted review and auto-merge for low-risk changes. • Help productionize the Agentic AI platform: agent observability (structured traces, costs, debuggability), RAG-as-platform so any team can give its agents shared memory, and the context-engineering patterns (skills, tools, memory) that keep agents reliable from dev through prod. • Work with the team to consolidate fragmented build systems and deliver standardized "paved road" blueprints so new products can onboard to the monorepo and ship to production quickly. • Partner directly with engineers across the company to identify toil, codify patterns, and automate repetitive manual work away — treating internal stakeholder teams as customers of the platform. • Mentor teammates, raise the bar on design and code review, and serve as a technical voice for engineering velocity and operational excellence.