AutoGrid jobs in Redwood City, CA - 7208 jobs

A pioneering AI company headquartered in Redwood City is seeking an Engagement Manager for AI Agent deployments. In this role, you will oversee the implementation of AI solutions for enterprise customers, ensuring smooth execution and long-term success. Responsibilities include leading cross-functional teams, managing complex projects, and driving customer outcomes. Candidates should have over 5 years in customer delivery roles and a strong grasp of contact center KPIs. This position offers competitive compensation and a hybrid work model. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

A sustainable cloud infrastructure company in San Francisco is seeking a Compute-focused Site Reliability Engineer to support and optimize virtualization and performance of compute infrastructures. The ideal candidate has over 5 years of experience in Linux system engineering, strong Linux kernel knowledge, and is proficient in programming languages like Go or C. Join a team driving meaningful innovation in the AI sector while enjoying competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe's Digital Infrastructure Group (DIG) is seeking a Technical Project Manager to manage the technical design aspects of large-scale data center development projects. The successful candidate will have strong experience in Technical Project Management and will have a robust civil engineering background. What You'll Be Working On: Lead a team of external design engineers, of all disciplines, to deliver large campus data center projects. Interface with clients, utility companies and other public agencies to determine best practices for civil and utility designs. Review and interpret geotechnical reports, and determine best design practices to accommodate local site conditions. Review information from GIS, FEMA, topographic studies, surveys, etc. and determine site feasibility for large-scale development projects. Prepare conceptual level site test fits for large campuses based on site constraints. Work with external design partners to prepare detailed site master plans and layouts. Work with Crusoe internal land development to gather information pertaining to surveys, easement agreements. Interpret client design standards and translate into design requirements for external design partners. Review large‑campus design packages and optimize designs for cost‑control measures, schedule. What You'll Bring to the Team: Experience with design management, and leading teams of design professionals. Working in a fast‑paced environment. 7+ yrs professional engineering experience in civil / site design. Experience with siting buildings, design of retention ponds, civil elements with large campus master planning. Professional Engineering license preferred, but not required. Data center specific experience preferred, but not required. Benefits: Industry competitive pay. Restricted Stock Units in a fast growing, well‑funded technology company. Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents. Employer contributions to HSA accounts. Paid parental leave. Paid life insurance, short‑term and long‑term disability. Teladoc. 401(k) with a 100% match up to 4% of salary. Generous paid time off and holiday schedule. Cell phone reimbursement. Tuition reimbursement. Subscription to the Calm app. MetLife Legal. Company paid commuter benefit; $300/month. Compensation Range Compensation will be paid in the range of up to $155K - 188K + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

About Treering Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events. About the Role We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products. Responsibilities AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking. Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation. API Management: Oversee and manage the suite of APIs used in our AI solutions. Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS. State Machine Management: Design, implement, and manage state machines for orchestrating AI processes. Programming: Write and maintain Python code for AI models and API development. Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions. Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow. What We're Looking For Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 6+ years of experience in AI development and deployment. Strong proficiency in Python programming. Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, and RDS. Experience with API development and management. Solid understanding of machine learning algorithms and techniques. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Strong leadership and mentoring abilities. Why Join Treering? Impact: Your work directly contributes to modernizing the yearbook industry. Innovation: Work with cutting-edge technologies in an agile environment. Growth: Opportunities for career advancement and professional development. Culture: A collaborative, inclusive, and supportive team environment. Benefits Comprehensive medical, dental, vision, life/AD&D, and disability coverage Pre-tax savings/spending plans, including HSA employer contributions Parental Leave Benefits Pre-tax and Roth 401(k) plan with an employer contribution Flexible vacation for salaried Twelve paid holidays throughout the year $180,000 - $200,000 a year If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply. #J-18808-Ljbffr

Mathematics Expert - $90/hr Remote - Alignerr About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. Mathematics Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided) Develop, solve, and review advanced mathematical problems with real‑world relevance. Apply expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex problem statements. Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning. Ensure mathematical rigor, clarity, and depth across all deliverables. Requirements Master's or PhD in Mathematics or a related field from a top U.S. university (or equivalent). Experience coding in Python, MATLAB, or Mathematica for research or projects. Strong expertise in algebra, calculus, statistics, or discrete mathematics. Exceptional written and verbal communication skills with strong attention to detail. Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia. Preferred Prior experience with data annotation, data quality, or evaluation systems. Application Process (Takes 15-20 min) Submit your resume. Complete a short screening. Project matching and onboarding. PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next‑generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high‑performance, fault‑tolerant infrastructure to serve large language models (LLMs) at scale. This role combines technical depth with people leadership - you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high‑caliber engineers. As part of a fast‑growing, strategically important organization, you'll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide. This is an on‑site role based in San Francisco, CA, or Sunnyvale, CA, requiring in‑office presence. What You'll Be Working On Team Leadership & Strategy: Manage and grow a team of software engineers working on Crusoe's Managed AI platform Set clear goals, drive accountability, and support career development for team members Partner with product and engineering leadership to define and execute on the AI roadmap Foster a high‑performance, collaborative engineering culture grounded in technical excellence Technical Execution: Enhance the architecture and development of core AI services, including: Fault‑tolerant task queues Model management systems Cost‑aware scheduling frameworks High‑performance APIs for real‑time inference Ensure the team delivers scalable systems capable of handling millions of API requests per second Guide the team in implementing performance optimizations for GPU‑based inference workloads Collaboration and Influence: Work cross‑functionally with product managers, infrastructure teams, and GTM stakeholders Represent engineering in strategic discussions related to AI platform growth and customer adoption Promote knowledge sharing, technical mentorship, and operational best practices within the team Contribute to the evolution of Crusoe's engineering processes and broader AI strategy What You'll Bring to the Team Leadership Experience: 2+ years of experience managing high‑performing engineering teams Strong track record of hiring, developing, and retaining engineering talent Ability to lead teams through ambiguity and drive alignment around complex technical goals Technical Depth: Prior hands‑on experience building distributed systems or AI infrastructure Deep understanding of cloud‑native environments, container orchestration, and service‑oriented architectures Familiarity with GPU performance, inference frameworks, or LLM‑based systems is a strong plus Product & Delivery Focus: Comfortable owning deliverables from early design through production rollout Strong collaboration skills, with a bias for clarity, context sharing, and customer impact Experience operating in fast‑paced startup or growth‑stage environments Preferred Qualifications: Background in Computer Science, Engineering, or a related technical field Proficiency in Python or Golang Familiarity with open‑source AI ecosystems (e.g., VLLM, Hugging Face, Triton) Experience working with Kubernetes, gRPC, and observability stacks Personal Attributes: Growth‑minded leader who empowers and supports others Excellent communicator and relationship builder Passionate about building world‑class AI infrastructure and teams Benefits Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

A technology company is seeking a Senior Manager of GTM Incentive Compensation Design in San Francisco, California. The role focuses on creating incentive programs that align with strategic goals. Candidates should have 7+ years in Sales Compensation within SaaS or technology sectors, and experience with AI and analytics. The position offers a base salary range from $152,000 to $228,000, and involves leading cross-functional partnerships and continuous program improvement. #J-18808-Ljbffr

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team. We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in. If you're excited to define the next generation of hard tech, come build it with us. The Role We're looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip's foundation model for manufacturing and CAD. You'll design the systems, tools, and strategies that turn the world's engineering knowledge - text, geometry, and design intent - into high-quality training data. This is a core leadership role within the AI team, driving the data architecture, augmentation, and evaluation that underpin our model's performance and evolution. You'll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. What You'll Do Architect and own Backflip's ML data pipeline, from ingestion to processing to evaluation. Define data strategy: establish best practices for data augmentation, filtering, and sampling at scale. Design scalable data systems for multimodal training (text, geometry, CAD, and more). Develop and automate data collection, curation, and validation workflows. Collaborate with MLEs to design and execute experiments that measure and improve model performance. Build tools and metrics for dataset analysis, monitoring, and quality assurance. Contribute to model development through insights grounded in data, shaping what, how, and when we train. Who You Are You've built and maintained ML data pipelines at scale, ideally for foundation or generative models, that shipped into production in the real world. You have deep experience with data engineering for ML, including distributed systems, data extraction, transformation, and loading, and large-scale data processing (e.g. PySpark, Beam, Ray, or similar). You're fluent in Python and experienced with ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.). You've developed data augmentation, sampling, or curation strategies that improved model performance. You think like both an engineer and an experimentalist: curious, analytical, and grounded in evidence. You collaborate well across AI development, infra, and product, and enjoy building the data systems that make great models possible. You care deeply about data quality, reproducibility, and scalability. You're excited to help shape the future of AI for physical design. Bonus points if: You are comfortable working with a variety of complex data formats, e.g. for 3D geometry kernels or rendering engines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've worked in 3D printing, CAD, or computer graphics domains. Why Backflip This is a rare opportunity to own the data backbone of a frontier foundation model, and help define how AI learns to design the physical world. You'll join a world-class, mission-driven team operating at the intersection of research, engineering, and deep product sense, building systems that let people design the physical world as easily as they imagine it. Your work will directly shape the performance, capability, and impact of Backflip's foundation model, the core of how the world will build in the future. Let's build the tools the future will be made in. #J-18808-Ljbffr

A leading tech company in San Francisco is seeking a Senior Director of G&A Systems to lead the vision and oversight of technology for Finance, People, and Legal departments. This role requires 12+ years of experience in corporate IT, proven leadership skills, and a strong background in technology strategy for global companies. The position offers a competitive salary range from $208,000 to $312,000 USD, along with a robust benefits package. #J-18808-Ljbffr

A leading technology firm is seeking an Analyst for Corporate Development and M&A to drive its growth strategy. The ideal candidate will support all phases of M&A, manage cross-functional teams, and conduct detailed market analyses. Applicants should have experience in investment banking or corporate development, with strong financial modeling skills. This is an opportunity to make a meaningful impact in a fast-paced environment, with a compensation range up to $140,000 plus bonuses and benefits. #J-18808-Ljbffr

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

The future of cybersecurity will depend on you Learn how Illumio approaches AI with integrity - view our Transparency Statement.Senior Backend Software Engineer (Python (Golang a plus)) Hybrid: 2 days in office/week in Sunnyvale, CA In this role, you will focus on the Azure Firewall Management Program over the next year. You will work in conjunction with Illumio's Core product and our newest product, CloudSecure, to deliver on customer-facing products and initiatives. As a Senior Software Engineer, every day you will determine how we integrate firewall management security frameworks into our existing ecosystem using Go / Golang. You will be working in cloud environments, like AWS, and you will focus on the networking aspects of our tech stack. To thrive in this role, you will need Go / Golang coding experience, and cloud experience in Azure or AWS is ideal. You will need networking experience, especially security networking, and building and deploying APIs. About the team Our Engineering team has established a culture based on thought leadership, independence, and responsibility. This powerful dynamic drives us forward as we work to make the digital world a safer place. Those who join us represent the leader in Zero Trust Segmentation and work on a technology stack that ranges from operating systems to distributed applications to UI and visualization. Together, we will continue to build world-class products-driven by people with different perspectives, backgrounds, and a commitment to innovation in a time when the world faces its greatest cybersecurity threats in history. #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading automotive technology company seeks a seasoned member for the product security team. This role involves designing and maintaining on-vehicle security systems for connected vehicles. Strong candidates will have 7+ years of experience with embedded systems and in-depth technical knowledge, particularly in C/C++ and Linux. Located in Palo Alto, California, the position offers a competitive salary and comprehensive benefits from day one. #J-18808-Ljbffr

A healthcare technology company based in San Francisco is on a mission to revolutionize healthcare with a new software platform. They are seeking a Staff Product Engineer to tackle complex challenges using Elixir and modern cloud architecture. The ideal candidate will have at least 10 years of experience in software engineering, strong problem-solving skills, and a passion for impactful healthcare solutions. This role supports a hybrid work environment, encouraging collaboration on-site three days a week. #J-18808-Ljbffr

VP of Engineering Platform Architecture & Scale About Advocate Advocate is transforming how Americans access government benefits. Using cutting‑edge AI technology, we're reducing months‑long disability application processes to days, helping vulnerable citizens get the support they deserve. After 2.5 years of rapid growth, we've built systems with increasing scale and complexity. Now we need an architectural visionary to design our next‑generation platform. The Opportunity We're seeking a VP of Engineering who sees elegant simplicity where others see overwhelming complexity. You'll partner with our CTO to head architecture and engineering, reimagining how case development platforms should work in an AI‑first world. This role is for an architect who finds simple elegance in design, creating minimal technical surface area to deliver maximum value. You understand that the best systems grow incrementally but are guided by a coherent vision from day one - not through endless complexity or components without consideration for the whole. The Role You'll lead and mentor a team of engineers while partnering with our CTO to define platform architecture. This uniquely combines deep technical architecture, strategic thinking, and hands‑on engineering leadership. You'll need world‑class system design skills paired with the ability to inspire brilliant engineers toward a unified vision. The Person We're Looking For Essential Background: You're an accomplished architect and engineering leader who has designed sophisticated platforms that model human workflows with AI to transform facts into meaningful insights. You've led teams through platform transformations and built best‑in‑class user experiences. Most importantly, you've fully integrated AI into your workflow - it's not a tool you use, it's a partner that amplifies your capabilities 10x. Location & Work Requirements This position requires candidates who are currently authorized to work in the United States without sponsorship and are based in the US. The role requires travel to our SF and NY office locations at least 6 times per year for strategic planning sessions, team collaboration, and key company events. Unfortunately, we are unable to consider international applicants or provide visa sponsorship at this time. Core Responsibilities Architectural & Engineering Leadership: Partner with the CTO to design enterprise‑grade systems that seamlessly blend event‑driven architectures, stream processing, workflow orchestration, and AI pipelines. Build and mentor a high‑performing engineering team, creating a culture where engineers grow while delivering exceptional results. Your architectural reviews are teaching moments; your pair programming sessions demonstrate AI‑amplified development AI‑Native Development Culture: Champion the use of AI in every aspect of development. At Advocate, we believe in human intellectual amplification through AI partnership - we'll never be “vibe coders.” You'll establish workflows and practices that make AI collaboration second nature for the entire team, teaching others to achieve 10x productivity through AI partnership Platform Evolution: Design systems that handle data changing over time through human and machine steps. As humans review data and AI generates insights, your architecture must elegantly handle cascading changes while maintaining perfect audit trails. Transform existing systems into clean, scalable patterns while maintaining 99.99% uptime Simplicity Through Sophistication: Create architectures that are profoundly simple despite underlying complexity. The best solution to a 10‑component problem might be 3 elegant abstractions, not 20 micro‑services Technical Excellence AI & Architecture Mastery: You've developed a profoundly effective personal workflow with Claude Code, Codex, GPT‑5, and other AI systems. You understand the difference between “vibe coding” and true AI partnership. You're equally fluent in distributed systems patterns (event sourcing, CQRS, saga patterns), know when to use Kafka vs. Kinesis vs. neither, and understand AWS services deeply without being dependent on them Framework & Performance Expertise: Experienced with modern orchestration (Temporal, Airflow), data processing (Spark, Flink), and application frameworks - understanding their internals, not just usage. You predict bottlenecks before they exist and design security‑first systems where protection is inherent, not added Cognitive Approach Systems Thinker: You see connections others miss - between data points, algorithms, and human processes. You question every assumption from first principles. Your designs start from fundamental truths, not industry conventions Right, A Lot: Your instincts about what will work are correct more often than not. You have a track record of successful bets on architectural decisions that seemed risky but proved transformative Extreme Ownership: You're obsessively driven to solve problems. When you take on a challenge, it becomes yours completely. The problem stays with you in the shower, on walks, in dreams. You wake up at 3 AM with breakthrough ideas and immediately test them Intellectual Humility: You understand AI may produce insights beyond human comprehension and build systems that account for this. You admit when wrong and change course quickly Communication Clarity: You can explain distributed consensus to an intern and data sharding to a board member. Your architecture documents are clear, visual, and impossible to misinterpret Leadership Excellence Technical Influence: Engineers follow your vision because your designs are obviously correct. You lead through clarity and competence Team Builder: You identify talent, develop potential, and create teams greater than the sum of their parts. You elevate every engineer, teaching them to think architecturally and collaborate with AI effectively Decisive Under Uncertainty: You make architectural decisions with 70% information and adjust as you learn. You build consensus without compromise Unique Qualifications Interdisciplinary Background: Your expertise spans multiple fields - software engineering, data science, user experience, organizational behavior Speed & Outcome Obsession: You measure iterations in hours and days. A working solution today beats perfection next quarter Invention Track Record: You've created novel architectural patterns and think in terms of “what's possible” not “what's been done” Technical Environment Event‑driven architectures (Kafka/Kinesis/EventBridge) Multi‑tier data platforms (Aurora, DynamoDB, OpenSearch, S3) Orchestration (Temporal, Step Functions, custom engines) Real‑time processing (Flink/Kinesis Analytics) Container orchestration (ECS/EKS) Infrastructure as Code (CDK/Terraform) AI/ML pipelines throughout - you'll have full authority to evaluate, adopt, or replace any part of our stack. AI Orchestration (LlamaIndex, LangChain) Are You Ready? If you read this and thought “finally, a role that values both architectural elegance and AI amplification” - send us: A complex system you've architected and your key design decisions How AI has transformed your development workflow Your approach to building AI‑native engineering teams This role is for those rare individuals who can hold an entire platform in their mind while inspiring others to build it - those who see AI as a partner in invention, not just automation. Join us in building the platform that will revolutionize government services. #J-18808-Ljbffr

A leading AI company in San Francisco is seeking a motivated individual to manage their engineering team. The role involves driving product delivery, collaborating with teams, and mentoring engineers. Successful candidates will have extensive experience in tech leadership and a track record of developing high-quality products. You'll be part of a dynamic, hybrid environment with competitive compensation and benefits. #J-18808-Ljbffr