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senior software engineer Jobs in San Francisco

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ai data engineer (agent platform) Jobs in San Francisco

ai data engineer (agent platform)

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

applied ai engineer product gtm

Sygaldry Technologies

<div>
 
 About Sygaldry
 
 
 
 Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.
 
 
 
 About The Role
 
 
 
 Our teams work closely together, research scientists developing quantum algorithms, systems engineers building the product, and a GTM team engaging frontier labs and industry partners. This role is the technical thread that runs through all of them. You'll work with the AI &amp; Algorithms team to understand what the research produces, with the product and systems teams to shape simulation requirements and architecture decisions, and with the GTM team to turn technical results into materials that drive partnerships. You write real code, working inside simulation codebases, building automated analysis pipelines, and producing the technical outputs that external audiences see. You'll use agentic AI tools extensively to move fast, but you need the coding fundamentals to work directly with complex simulation infrastructure.
 
 
 
 What You&rsquo;ll Work On
 
 
 
 Simulation &amp; Analysis Pipelines
 
 
 <ul>
 <li>
 Work directly with datacenter simulation frameworks: extract results, build post-processing pipelines, generate formatted outputs
 </li>
 <li>
 Build automated pipelines that transform analytical projections into charts, tables, and slide-ready assets
 </li>
 <li>
 Maintain authoritative projection datasets for quantum advantage across frontier AI model architectures
 </li>
 <li>
 Write tools that make simulation results reproducible and auditable
 </li>
 <li>
 Work with Quantum Algorithm experts to translate quantum resource analysis into inputs for classical simulation pipelines
 
 
 </li>
 </ul>
 Technical Content &amp; Materials
 
 
 <ul>
 <li>
 Produce performance charts, architecture diagrams, and comparison tables from simulation and analysis data
 </li>
 <li>
 Support white paper production with technical content, figures, and data validation
 </li>
 <li>
 Build and maintain dashboards tracking performance projections and simulation milestones
 
 
 </li>
 </ul>
 Product &amp; Partner Engineering
 
 
 <ul>
 <li>
 Work with the systems engineering team to translate simulation results into product requirements and architecture decisions
 </li>
 <li>
 Produce materials for partner meetings and conference presentations
 </li>
 <li>
 Support demo prototypes that showcase simulation and product capabilities
 </li>
 <li>
 Coordinate across the AI team, product team, and GTM team to ensure technical outputs are timely and accurate
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Write code daily -- pipelines, scripts, and tools, not just slide decks
 </li>
 <li>
 Translate complexity into clarity without losing accuracy
 </li>
 <li>
 Are quantitatively comfortable -- these are physics and math-heavy projections, not marketing copy
 </li>
 <li>
 Use AI tools aggressively but know their limits
 </li>
 <li>
 Move fast - partner meetings, conferences, and white paper deadlines don't wait
 </li>
 <li>
 Are curious about the underlying systems -- you want to understand how the simulation works, not just its outputs
 
 
 </li>
 </ul>
 
 Strong Candidates May Have
 
 
 
 <ul>
 <li>
 Solid Python programming (this is an engineering role, not an analyst role)
 </li>
 <li>
 Experience with simulation frameworks, benchmarking infrastructure, or performance analysis tools (ASTRA-sim, gem5, or similar)
 </li>
 <li>
 Data pipeline construction (ETL, automation, post-processing workflows)
 </li>
 <li>
 Data analysis and visualization (plotly, matplotlib, pandas)
 </li>
 <li>
 Interactive notebook experience (marimo, Jupyter) for analysis and presentation
 </li>
 <li>
 Technical writing ability (white papers, technical summaries)
 </li>
 <li>
 ML/AI domain knowledge (training, inference, model architectures, distributed systems)
 </li>
 <li>
 Experience producing technical materials for enterprise partnerships or investor relations
 </li>
 <li>
 Background in solutions engineering, technical program management, or applied systems engineering
 
 
 </li>
 </ul>
 
 How We&rsquo;re Different
 
 
 
 At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We&rsquo;re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI.
 
 
 
 Culture &amp; Benefits
 
 
 
 <ul>
 <li>
 Visa Sponsorship - We know what it takes to make top talent thrive here. We&rsquo;re open to supporting visas whenever possible.
 </li>
 <li>
 Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.
 </li>
 <li>
 Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
 </li>
 <li>
 Connection - Whether it&rsquo;s company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
 </li>
 <li>
 Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.
 
 
 </li>
 </ul>
 We encourage applications from candidates with diverse backgrounds. 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 characteristics.
 
 
 We encourage you to apply even if you do not believe you meet every single qualification. If you don&rsquo;t think this role is right for you, but you believe that you would have something meaningful to contribute to our mission, please reach out at letsbuild@sygaldry.com
 
 
 Compensation Range: $200K - $240K
 
 
</div>

Applied AI Engineer, Product & GTM

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Data Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 
 
 
 About The Role
 
 
 
 We are looking for a software engineer to own the design of our APIs. Our API
 
 is
 
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
 </li>
 <li>
 Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
 </li>
 <li>
 Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
 </li>
 <li>
 Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
 </li>
 <li>
 Love building for other developers, and thrive on feedback from opinionated users
 </li>
 <li>
 Are an engineer at heart, but are willing to lean into product decisions.
 </li>
 <li>
 Think of APIs as ladders.
 
 
 </li>
 </ul>
 
 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&rsquo;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.
</div>

Backend Software Engineer, API Platform

Lance (YC W26)

<div>
 
 
 Chief of Staff (San Francisco, On-site)
 
 
 
 
 
 
 
 About Lance
 
 
 
 Lance (YC W26) builds autonomous AI agents that run hotel operations end-to-end, from answering guest calls to managing workflows across systems. We work with leading hotel groups across brands like Marriott, Hilton, and Hyatt, and are already deployed across 50+ properties in the U.S.
 
 
 
 
 
 Our agents don&rsquo;t just assist, they execute. They integrate directly into existing hotel systems, make real-time decisions, and handle complex, multi-step operations.
 
 
 
 
 
 
 Total Compensation
 
 
 
 $120,000 Cash, Equity, Bonus
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We&rsquo;re hiring a Chief of Staff to work directly with the CEO and help scale Lance from early traction to a category-defining company.
 
 
 
 
 
 This is a high-intensity, execution-driven role. You&rsquo;ll operate across product, operations, and go-to-market, building systems, driving initiatives, and ensuring the company moves fast.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Work directly with the CEO on day-to-day operations and priorities
 
 
 Build and deploy AI automations to increase internal productivity
 
 
 Drive strategic projects across product, ops, and GTM
 
 
 Own cross-functional execution and keep teams aligned
 
 
 Work closely with customers, including hotel executives, on deployments and communication
 
 
 Support marketing, messaging, and sales efforts
 
 
 Fill gaps across the company as needed
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 Strong operator with high ownership and bias for action
 
 
 Deep interest and experience with AI automations, agents, or workflows
 
 
 Exceptional communication and ability to work with executives
 
 
 Ability to handle multiple priorities in a fast-paced environment
 
 
 Comfortable working long hours when needed, this is not a 9&ndash;5 role
 
 
 Background in consulting, startups, or strategy is a plus
 
 
 
 
 
 
 Why This Role
 
 
 
 Work directly with the founders on core decisions
 
 
 High ownership from day one
 
 
 Exposure across the entire company
 
 
 Build real systems, not just decks
 
</div>

Chief of Staff

Wonderschool

<div>
 
 About Wonderschool
 
 
 
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 
 
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 
 
 
 Role Overview
 
 
 
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
 </li>
 <li>
 Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
 </li>
 <li>
 Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
 </li>
 <li>
 Debug and troubleshoot technical issues to ensure platform stability.
 </li>
 <li>
 Stay current with emerging technologies and best practices in software engineering and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
 </li>
 <li>
 Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Basic understanding of cloud platforms like Google Cloud Platform and AWS.
 </li>
 <li>
 Excellent communication skills and ability to work in a collaborative, in-person environment.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
 </li>
 <li>
 Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
 </li>
 <li>
 Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
 </li>
 <li>
 Health Benefits: 100% coverage for employee premiums and 80% for dependents.
 </li>
 <li>
 Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
 </li>
 <li>
 Parental Leave: Competitive policies eligible after six months of employment.
 </li>
 <li>
 Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
 
 
 </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 
 
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 
 
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>

Early Career Software Engineer – Applied AI

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 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&rsquo;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.
 
 
 Compensation Range: $230K - $385K
</div>

Data Engineer, Analytics

Cartesia

<div>
 
 About Cartesia
 
 
 
 Our mission is to architect AI that learns from and interacts with the world like humans do.
 
 
 We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
 
 
 We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
 
 
 
 About The Role
 
 
 
 We're hiring a Software Engineer, Platform to advance our mission of building real-time multimodal intelligence.
 
 
 
 Your Impact
 
 
 
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 Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
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 Work closely with our research team and product engineers to translate cutting edge research into incredible products
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 Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
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 You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.
 
 
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 What You Bring
 
 
 
 Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
 
 
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 Strong engineering skills, comfortable navigating complex codebases and monorepos.
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 An eye for craft and writing clean and maintainable code.
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 You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).
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 Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
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 Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.
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 [bonus] Background in or experience working with machine learning and generative models.
 
 
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 Even if you don&rsquo;t meet every requirement above, we'd encourage you to apply.
 
 
 
 More Details
 
 
 
 🏢
 
 In-office policy:
 
 We&rsquo;re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore We love being in the office, hanging out together, and learning from each other every day.
 
 
 
 🌎 Visa sponsorship:
 
 We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
 
 
 🚢
 
 We ship fast.
 
 All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
 
 
 🤝
 
 We support each other.
 
 We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.
 
 
 
 Our Benefits
 
 
 
 💰
 
 Compensation.
 
 Competitive base salary alongside attractive equity package.
 
 
 🚆
 
 Commuter Allowance
 
 . A monthly stipend to help you get to and from the office.
 
 
 🏖️
 
 Flexible PTO
 
 . Take as much time as you need to recharge your batteries.
 
 
 🍲
 
 Meals &amp; Snacks
 
 . Lunch, dinner and plenty of snacks, provided daily.
 
 
 🦖
 
 Your own personal Yoshi.
 
</div>

Software Engineer, Platform

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