System Software Engineer - AI About us: We are a stealth-mode startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously. We are looking for: We are looking for a talented System Software Engineer to help us redefine the infrastructure layer of AI. In this role, you will bridge the gap between high-level AI frameworks and low-level system software. You will be responsible for designing and implementing the communication and execution primitives that allow large-scale AI models to run efficiently across thousands of GPUs. We are looking for a "builder" who thrives in the early stages of a product’s lifecycle and is passionate about solving the "hard" systems problems of the generative AI era. Key Responsibilities: - Collaborate across the stack to influence the design of our foundational technology, ensuring it meets the needs of next-generation AI models. - Identify and resolve performance bottlenecks in distributed training and inference workloads through deep-dive analysis of the software-hardware interface. - Conduct rigorous performance benchmarking and characterization on multi-node clusters. Required Skills and Qualifications: - Strong proficiency in C++ and Python, with a deep understanding of systems programming fundamentals (memory management, concurrency, OS internals). - Proficient in a Linux development environment. Desired Skills: - Experience with GPU programming (CUDA) and performance optimization for parallel architectures. - Familiarity with distributed AI frameworks (PyTorch, JAX, or DeepSpeed) and/or inference engines (vLLM, SGLang, Dynamo/TRT-LLM). - Hands-on experience with large-scale cluster orchestration and telemetry tools. Education: - Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field. Compensation: Target base salary for this role is $140,000 - $200,000 per year + meaningful equity + benefits + 401k. Our salary ranges are determined by role, level, experience, and location. #LI-EW1

Do you thrive and have demonstrated experience turning bold ideas into working AI products? Do you want to lead engineering for two new AI products with no legacy code, full ownership, and direct access to customers and the CEO? ​ Come Join the New AI Team At ReSource Pro! This role sits within a brand-new, 10-person, autonomous innovation group reporting directly to the CEO. The AI Factory brings together senior engineering, product, and design talent to build two net-new customer-facing AI products - from zero to production - for the insurance industry. You won’t be inheriting legacy code. You’ll be helping to architect and build new products on a new foundation. This is a hands-on engineering role in a startup-like environment, backed by the credibility, reach, and customer base of a 14,000-person enterprise. ReSource Pro has spent two decades becoming a trusted name in insurance operations. This new AI development center is its next chapter, translating deep domain credibility into breakthrough digital products. Why This Role Matters The AI Factory is built to prove what’s possible with AI in insurance - claims, operations, and beyond. - Build AI products from scratch Not prototypes or internal tools, but real systems customers use daily. - Operate with startup speed Autonomy, pace, and experimentation, backed by enterprise support. - Work directly with customers Understanding their workflows, debugging live pilots, and shaping the technical direction from real-world feedback. - Set the technical bar Engineering excellence, system design, code quality, observability, and performance for a founding team. As the Lead Engineer, you will: Lead Engineering from Concept to Launch - Own technical architecture, design, and implementation for new AI driven insurance products. - Translate open ended opportunities into defined system designs and deliver production grade solutions. - Make foundational decisions related to architecture, infrastructure, data flows, and scaling. Build Fast and Ship Fast - Partner closely with product, design, and data science to execute rapid build → test → learn → deploy cycles. - Develop prototypes and production features using Python, modern frameworks, LLM APIs, vector databases, and cloud native services. - Work across integrations, backend workflows, orchestration layers, and customer facing features. Hands On Engineering Ownership - Write full stack code with a focus on quality, reliability, and performance. - Establish best practices for versioning, CI/CD, monitoring, model evaluation, and customer integrations. - Lead small pods of engineers while supporting cross functional collaboration. Direct Customer Engagement - Participate in customer sessions to observe workflows and validate product direction. - Triages issues in real time and adjust technical direction based on practical use. - Co design features with early adopters to ensure strong market fit. Operate Like a Startup - Prioritize aggressively to focus on features that drive customer value or learning. - Define engineering rituals, coding standards, and team operating norms. - Partner with executive leadership to communicate milestones and influence strategy. What You Bring Experience - 7+ years of hands on engineering experience. - Expert at leading greenfield or 0→1 product builds required - Strong background working with AI powered systems, automation, workflow engines, or data intensive architectures. - Experience collaborating closely with product and design teams. - Cloud deployment experience, preferably AWS. - Startup or small team operating experience. Skills - Strong system design ability across backend, AI workflows, automation, and distributed systems. - Proficiency in at least one modern programming language with Python preferred. - Experience integrating LLMs, embeddings, prompt orchestration, and evaluation tools. - Ability to move rapidly from prototype to reliable production code. - Strong instincts for reliability, logging, observability, and performance. - Clear communicator with ability to articulate technical tradeoffs. Mindset - Builder mindset with drive to turn ideas into working systems. - Comfortable operating in ambiguity with speed. - Balances creative problem solving with engineering rigor. - Passionate about the future of AI in enterprise software. - High ownership and collaborative approach. Compensation Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes annual bonus eligibility, benefits, and other opportunities at ReSource Pro. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other ReSource Pro employees. This is a remote position, and the salary range for most locations for this role is $106,561-$180,645 annually. The salary range may vary based on experience and on the specific geographic location in which the candidate resides. All remote positions are based in the United States, and candidates must reside within the U.S. to be eligible for consideration. About ReSource Pro: Focused exclusively on the insurance industry, ReSource Pro is the trusted partner insurance organizations rely on to optimize performance, streamline operations and process engineering, and drive growth. Serving 2,000+ carriers, brokers, wholesalers, and MGAs, ReSource Pro is a recognized market leader in insurance workflow optimization, data and technology services, and strategic operating model transformation. Maintaining a 96%+ client retention rate for over a decade, ReSource Pro is the only firm serving the insurance industry to have earned a spot on the Inc. 5000 list 16 times—placing it among the top 0.02% of repeat honorees across all sectors in the Inc. list’s 40+ year history. Equal Employment Opportunity Policy ReSource Pro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

• Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data • Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform • Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes • Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks • Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs) • Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

Our Mission and Opportunity Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban. Our Team Our team is passionate, talented, and customer-focused. We embody our Leadership Principles in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally. Who You Are You are an AI-native Director of Engineering who combines exceptional engineering judgment, product sense, and high standards with the ability to scale leaders, teams, and execution. You create clarity in ambiguous spaces, turn company priorities into high-velocity delivery, and lead by example in how modern engineering gets done. You care deeply about the CX your team ships, and you help make AI-native execution practical, repeatable, and fast across the organization. You will succeed in this role if you are: - Focused on business impact. You care about scaling brightwheel’s value and impact by orders of magnitude. You treat technology as a driver of growth and operational efficiency, always connecting engineering decisions to better outcomes for educators, administrators, and families. - A practitioner-leader. You do not lead from a distance. You use AI agents and modern tooling in your own work to raise the organization’s ambition, show what great looks like, and help teams adopt better ways of building. What You’ll Do brightwheel already supports the workflows that keep early education businesses running: enrollment, billing, staffing, classroom operations, family communication, and compliance. The next step is bigger. We can use AI to turn brightwheel from a system of record into a system of action, reducing toil, automating routine work, improving decision-making, and accelerating how we build. You will turn that opportunity into reality. You will build teams, systems, and AI-native ways of working that help brightwheel deliver more value to customers, move faster as an organization, and continuously raise the bar on product quality, reliability, and execution. In this role, you will: - Lead engineering teams that deliver AI-powered product and platform capabilities with clear impact. Reduce administrative toil, improve family responsiveness, streamline enrollment, and surface better insights for operators. - Build software that not only records information, but also recommends next steps, completes routine work, and automates meaningful parts of our customers’ day-to-day operations. - Use AI agents, automation, and modern tooling to improve how teams build, test, ship, and support software, increasing velocity and freeing up more capacity for high-value work. - Operate an AI hybrid engineering workforce in which engineers and agents work together effectively, with the tooling, guardrails, governance, evaluation, and observability required. - Apply the same AI-native mindset to internal functions like customer support and onboarding, helping the company become faster, more responsive, and more efficient as it scales. - Drive continuous improvements in quality, reliability, and security by using agentic workflows to catch issues earlier, reduce operational burden, and improve the product every week. - Hire and scale exceptional AI-native engineering talent, building a lean, high-performing organization with high standards, strong ownership, and a bias for action. - Make strong build-versus-buy, architecture, and platform decisions that balance short-term speed with long-term leverage and differentiation. What You’ve Done We are open to a variety of backgrounds, but qualified candidates usually bring: - A strong computer science foundation. You have a 4-year computer science degree or equivalent depth in core computer science topics, with the technical grounding to reason well across systems, abstractions, and tradeoffs. - A record of shipping battle-tested products at scale. You have helped deliver customer-facing software from pixels to metal, in either consumer or enterprise software. You have seen what it takes to make products succeed in real production environments with real customers and business stakes. - Applied AI experience in production. You have used AI, automation, or machine learning in high-stakes environments, whether in customer-facing products, internal systems, or engineering workflows. You understand what it takes to make these systems useful, reliable, safe, and cost-effective. - Experience leading through leaders. You have managed managers and senior engineers, building teams that consistently delivered meaningful product or platform outcomes in demanding, fast-paced environments. What Sets You Apart The candidates who will thrive in this role go beyond the standard management toolkit: - Product taste and judgment. You operate without needing a product manager crutch. You are excited by the challenge of defining the right thing to build, not just building it right. In the age of AI, you use your product intuition to bridge the gap between technical possibility and customer value. - High-stakes communication and influence. You are equally comfortable in the boardroom and the IDE. You can persuade a C-suite audience on high-stakes strategic bets while maintaining the deep technical respect of the engineers who are building the systems. - A proven talent magnet. You have a track record of building or turning around teams in highly competitive hiring arenas. You have successfully attracted and retained top talent. - You are a T-shaped leader, deeply expert in at least one domain but capable of becoming proficient just-in-time across science, data, security, infra, and UX. You use AI to multiply your learning speed, allowing you to handle the full breadth of a modern engineering organization. - Hands-on fluency with AI-native development. You do not just manage; you build. You have used AI assistants and agents to materially improve your own speed and quality, and you have a clear perspective on how to help an entire organization adopt these workflows effectively. Technology We work with: - AI & Automation: All the frontier models you expect, vector search, orchestration and agent frameworks, and modern AI coding tools like Claude Code / Cursor - Backend: Ruby on Rails, Sidekiq - Data: PostgreSQL on Amazon RDS, Redis, and event and analytics pipelines - Frontend: React with TypeScript and Emotion - Mobile: Native iOS (Swift) and Android (Kotlin with Jetpack Compose) - Cloud & Infrastructure: Docker, Kubernetes on Amazon EKS, GitHub Actions and FluxCD for CI/CD, and AWS services such as S3, CloudFront, CloudWatch, and SNS Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Protecting Our Applicants: Please be aware of recruiting scams impersonating Brightwheel. All legitimate communications come from @mybrightwheel.com addresses, and we never ask for payment or sensitive personal data as part of our hiring process. If you suspect fraudulent contact, reach out to security@mybrightwheel.com. Thank you for helping us keep our applicant community safe.