Role Description We need a builder who can do what most people do across an entire team: find a pain point worth solving, size it with data, build the product, and take it to market - with AI as the primary tool at every step. This is a role with the mandate and autonomy of a founding team member, backed by Apartment List's distribution, marketplace data, and profitability. The goal is a new business line that contributes meaningfully to revenue within 12 months - and a playbook that makes the next one faster. You'll report to our Head of Product and work alongside - not inside - our core Product, Design, and Engineering organizations. What You'll Do - Find the Opportunity - Live in the data: interview renters and partners, mine support tickets and search queries, and query the warehouse yourself to size pain points and revenue pools. - Build the opportunity map - 3–5 sized candidate business lines, backed by data and ranked by revenue potential, strategic fit, and speed to validation. - Kill weak ideas in writing and commit to strong ones with conviction. - Build the Product - Ship v1s yourself using AI-native development workflows - coding agents, automated testing, rapid iteration across the full stack. - Move from prototype to production: instrument everything from day one, ship behind flags, iterate from live usage. - Leverage the Apartment List platform where it accelerates you; make the explicit case to diverge where it doesn't. - Give feedback on our build processes and AI tooling - you're the guinea pig for what AI-assisted development looks like at scale, and what you learn should make the broader engineering org faster. - Craft the Go-to-Market - Own positioning, pricing, and the path to first revenue. - Design distribution through our existing surface area - millions of renter sessions, established partner relationships - as well as new channels. - Build the funnel, measure it honestly, and iterate until the unit economics work. - Deliver Business Outcomes - Own a revenue target, not a feature roadmap. Report progress in business terms: users, conversion, revenue, margin. - Make the scale/staff/kill decision with data, and propose the operating model for what comes next. - Document the playbook so the next venture starts faster - and mentor others across Product and Engineering on how to build with AI effectively. Qualifications - Product + engineering range: you've operated as a product leader and you ship production software yourself. You can point to real products you built solo or near-solo, the tradeoffs you made, and what happened after launch. - AI-native builder: you build with AI daily - coding agents, evals, AI-powered product experiences. You can demo your workflow and point to shipped output, not slides. - Data self-sufficiency: you write your own SQL, size your own markets, and design your own experiments. You change your mind when the data disagrees with you. - GTM craft: you've owned positioning, pricing, and distribution - and you've closed first customers or distribution partners yourself. - Founder track record: you've taken a product from zero to first revenue and can talk concretely about what worked and what didn't. - Extreme ownership: you ask for context and a goal, not permission and headcount. You treat GTM and analytics as part of your job, not a handoff. Requirements - Consumer-platform scale experience: shipping at one of the world's largest consumer platforms, where engagement, monetization, and partner ecosystems operated at hundreds of millions of users. - Marketplace or two-sided product exposure: you understand how value flows between two sides of a market and where new revenue hides in that flow. - Business fluency: unit economics and P&L thinking come naturally; formal business training is a plus. Benefits - Founder-grade canvas without founder-grade risk. Real distribution, proprietary data, and a profitable balance sheet from day one. - No fundraising pressure - we operate with the urgency of a company that needs to win the next 24 months. - Competitive salary, bonus, and equity aligned to experience and market benchmarks. Here's the Pay Range At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: - Zone 1: $234,000 - $340,000 TTC (including $192,000 - $282,000 base salary) + equity - Zone 2: $216,000 - $315,000 TTC (including $180,000 - $261,000 base salary) + equity - Zone 3: $204,000 - $289,000 TTC (including $169,000 - $240,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.

Role Description This role requires a leader who brings deep hands-on engineering experience, having personally designed, built, and operated complex systems earlier in their career, and who now applies that experience to platform strategy, architectural decision-making, and technical leadership at enterprise scale. The Senior Director, Developer Experience and Platform Engineering brings technical credibility, architectural judgment, and engineering leadership to ensure Developer Experience is a first-class engineering discipline embedded across the software lifecycle. The role emphasizes hands-on engineering experience, platform ownership, and technical decision-making, while also requiring strong leadership, collaboration, and strategic alignment across the organization. What you'll do... - Engineering, Platform & Code Ownership - Own the technical vision, architecture, and roadmap for Developer Experience platforms, including: - Developer portals and internal platform products - CI/CD pipelines and code delivery systems - Container-based developer and runtime environments, including orchestration and lifecycle management - API platforms, service templates, and established “golden paths” - Observability, reliability, and operational tooling - Lead DevX platforms as products, with: - Clear ownership and accountability - Roadmaps informed by real developer needs - Defined reliability, security, and service expectations - Act as a hands-on technical leader: - Review architecture, designs, and system patterns - Apply practical engineering judgment to platform and tooling decisions - Make informed trade-offs across scalability, security, reliability, and usability - Programming Languages, Core Repositories & Code Delivery - Provide deep technical leadership across polyglot engineering environments, spanning modern backend, frontend, mobile, data, and distributed systems technologies - Apply strong understanding of multiple programming paradigms (object-oriented, functional, reactive, event-driven) to ensure DevX initiatives align with how engineers actually write and maintain code - Be accountable for core repository strategy and health, including: - Code organization and modularization - Dependency, version, and release management - Shared libraries, frameworks, and reuse patterns - Secure, compliant contribution and governance models - Influence and standardize code delivery practices across the organization, enabling: - Consistent, automated, and high-quality build and release workflows - Predictable delivery across both legacy and modern codebases - Clear ownership and lifecycle management of shared repositories - Strategy Grounded in Engineering Reality - Define and own a multi-year Developer Experience strategy aligned with: - Automotive and industrial software delivery constraints - Safety, security, and regulatory requirements - Operating at scale across global regions, time zones, and organizational boundaries - A broad and evolving technology landscape, spanning legacy systems through modern and emerging (“bleeding-edge”) platforms - Translate strategy into concrete engineering roadmaps and platform designs that can be executed incrementally and sustainably - Ensure DevX initiatives reflect real developer workflows, operational constraints, and production realities - Balance standardization and autonomy through well-designed paved paths that support consistency while enabling innovation - Metrics, Measurement & Continuous Improvement - Define, own, and continuously evolve Developer Experience KPIs that measure productivity, reliability, code quality, delivery performance, and developer sentiment - Establish a DevX measurement framework that combines: - Quantitative engineering metrics (e.g., lead time, deployment frequency, change failure rate, recovery time) - Platform usage, adoption, and reliability signals - Regular developer surveys and qualitative feedback mechanisms to identify friction and unmet needs - Use DevX KPIs and survey insights to: - Inform platform, tooling, and investment decisions - Identify systemic bottlenecks across the software lifecycle - Measure the effectiveness and impact of DevX initiatives over time - Ensure metrics are used for continuous improvement, not individual performance management - Provide clear executive-level visibility into Developer Experience health and trends - AI-Enabled Engineering & Code Quality - Lead the responsible application of AI across the software development lifecycle, integrating AI-assisted capabilities such as: - Code authoring, refactoring, and modernization assistance - Automated code review and static analysis augmentation - Test generation, defect detection, and coverage improvement - Developer feedback and productivity tooling - Ensure AI-enabled solutions: - Improve code quality, maintainability, and developer experience - Are integrated into existing developer workflows and CI/CD pipelines - Meet enterprise standards for security, compliance, intellectual property protection, and ethical use - Cross-Functional Technical & Delivery Leadership - Partner closely with: - Product, Platform, and PDOs to align DevX platforms and tooling with delivery priorities, roadmaps, and outcomes - Cloud Infrastructure and Platform Engineering - Site Reliability Engineering (SRE) - Cybersecurity and Compliance teams - Enterprise Architecture and Product Engineering - Work with PDOs to ensure Developer Experience investments: - Support predictable delivery and execution at scale - Reduce friction across planning, build, test, and release phases - Align technical capabilities with business and portfolio priorities - Serve as a technical peer and trusted advisor to senior engineering, delivery, and infrastructure leaders - Influence architecture, tooling, and delivery direction through technical credibility and delivery experience - Operational Excellence & Reliability Integration - Embed Developer Experience into: - Incident management and postmortems - Reliability and SRE practices - Secure software supply chain initiatives - Change and release management - Ensure DevX platforms and tooling are: - Secure and resilient by default - Observable and operated with production rigor - Drive a culture of automation, self-service, and continuous engineering improvement Qualifications - 15+ years of experience in software engineering, including: - Significant hands-on development, system design, and production operations experience - Direct involvement in building and operating complex, distributed systems - Demonstrated ability to apply prior engineering experience to platform architecture, code delivery, and technical strategy - Deep expertise in: - Google Cloud Platform (GCP), including production operations at scale - Container-based platforms and orchestration technologies - CI/CD systems, developer tooling, and code delivery pipelines - Polyglot software architectures and modern application frameworks - Observability, reliability, and SRE practices - Strong working knowledge of: - Microsoft Azure and Amazon Web Services (AWS) - Multi-cloud and hybrid architecture trade-offs - Solid understanding of: - Secure software supply chains - Compliance and regulatory requirements common in automotive environments Benefits - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day - Paid time off and the option to purchase additional vacation time. Company Description This position is a leadership level 4. For more information on salary and benefits, click here: https://fordcareers.co/LL4Benefits Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-WC2

Role Description - Entwicklung von technischen Lösungen für komplexe Probleme bis hin zur Schnittstellendefinition per OpenApi - Entwicklung von qualitativ hochwertigem Code auf Basis von PHP. Dabei helfen uns neben manuellen Codereviews auch automatische Checks verschiedener CI-Tools - Entwicklung von Oberflächen für komplexe Sachverhalte bei Nutzung von Javascript - Begleitung des Prozesses von der Konzeption und der Schnittstellen-Definition bis hin zur Umsetzung in die Realität - Nutzung verschiedener Frameworks zur Umsetzung der anforderungsspezifischen Applikationen - Verwandlung von Tickets in Code und Pixel in gemeinsam geplanten Sprints Qualifications - Du hast bereits Berufserfahrung oder hast ein abgeschlossenes IT-Studium bzw. eine relevante Berufsausbildung - Hoher Qualitätsanspruch - Lösungsorientiertes, strukturiertes und eigenständiges Arbeiten - Gute Kommunikationsfähigkeit / Sehr gute Deutsch-Kenntnisse - Praktische Erfahrungen in der Entwicklung komplexer PHP-Applikationen sowie Leidenschaft für solide Softwarearchitektur - Fundierte Erfahrungen in Javascript und einem gängigen Framework wie Vue.js oder Angular - Bei uns ist KI kein Cheatcode, sondern Standard - du bist vertraut mit Tools wie Cursor, Windsurf & Co. - Gute Deutschkenntnisse

Role Description We're looking for a Senior Full Stack Software Engineer to join our team and lead full stack development projects focusing on our website, artificialanalysis.ai. You'll work closely with our founders to build core parts of the software stack for our early stage start-up. The coming wave of AI scaling is going to change the world in ways we don't yet understand — and we're offering a front row seat. - Lead full-stack development and optimization of the Artificial Analysis website - Work with our TypeScript / Next.js stack (hosted on Vercel) to build and maintain website features, including using our PostgreSQL databases on Supabase - Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for many thousands of daily users - Push forward our engineering practice more broadly, incorporating industry best practices into our DevOps, infrastructure management and CI/CD - Mentor and manage a small team of developers to drive a culture of engineering excellence - Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry Qualifications - 3+ years of professional software engineering experience, with a strong focus on modern front-end web development (JavaScript/TypeScript, React, Next.js, Node.js) - Knowledge of modern AI and experience using LLMs - Passion for AI and eagerness to work at the forefront of technological innovation - The ability to balance writing maintainable code and making sound architectural decisions with the need to ship features quickly - Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty - Excellent communication and collaboration skills - Proven ability to lead projects independently in a fast-paced environment Requirements - Preferred but not essential: Bachelor's or Master's in Computer Science, Engineering, or related field (e.g. Physics) - Experience with Python libraries for data analysis (e.g. pandas) and AI/ML frameworks (e.g. PyTorch) - Experience visualizing & presenting data - Creation of analytical reports Benefits - Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI. - Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI. - Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice. - Join at a defining moment: We're 35+ people and fast growing, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale. - Competitive compensation including equity - Our team is split across San Francisco, Sydney, and Melbourne