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Experience Level
Entry Level
Qualifications
Recent graduate with a Bachelor’s Degree in Business, Marketing, or a related field. Strong communication skills and an eagerness to learn about sales methodologies. Ability to work collaboratively in a fast-paced team environment. Passion for technology and finance.
About the job
Join Mercury as a Sales Development Representative, where you will have the opportunity to kickstart your career in sales and contribute to innovative financial solutions. As a recent graduate, you will engage with potential clients, develop your sales skills, and help expand our customer base in a dynamic environment.
About Mercury
Mercury is a leading financial technology company based in the heart of San Francisco, dedicated to providing innovative banking solutions for startups. Our mission is to empower entrepreneurs with the financial tools they need to succeed in a competitive landscape.
Full-time|On-site|New York, NY or San Francisco, CA
Join Mercury as a Sales Development Representative, where you will have the opportunity to kickstart your career in sales and contribute to innovative financial solutions. As a recent graduate, you will engage with potential clients, develop your sales skills, and help expand our customer base in a dynamic environment.
Julius is an early-stage applied AI startup in San Francisco focused on making software creation accessible at scale. The team builds agents that streamline knowledge work through code, with a current emphasis on data science and analytical tools. Julius has processed over a million lines of code every 36 hours, served more than a million users, and generated millions of data visualizations. The company is revenue-generating and supported by investors including AI Grant, YCombinator, Bessemer Venture Partners, and founders from leading tech companies. Team members bring experience from organizations such as Uber, Facebook, and Scale AI. Role overview The Software Engineer - Product (Recent Graduate) role focuses on creating user interfaces that are both intuitive and high-performing. Julius’s platform integrates tool use, multi-step reasoning, code generation and execution, and file management. Engineers in this position contribute to shaping and building these experiences for an expanding user base. Requirements Recent graduate with a background in software engineering or a related field Interest in building user interfaces and product experiences Ability to work onsite in San Francisco, CA Benefits Comprehensive health and dental insurance Gym reimbursement Daily team meals Commuter benefits Location This position is based in San Francisco, CA.
At Netic, we're revolutionizing the essential services industry through AI innovation, driving growth for businesses that form the backbone of the American economy.With a robust $43M in funding from industry giants like Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we empower our customers to book hundreds of thousands of jobs across various service sectors in North America. Today, several companies operate fully AI-first on the Netic platform.Joining our team means collaborating with relentless innovators from prestigious organizations such as Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we tackle complex problems in the physical economy, where data is intricate and the impact is significant.At Netic, we create features that enable real businesses to leverage AI effectively. As a recent graduate, you will benefit from a dedicated mentor who will guide you through the entire process of supporting clients, deploying features, and iterating rapidly.We are seeking new graduates who can start as early as Summer 2026.Key Responsibilities:Develop AI-driven products: Conceptualize, code, and launch full-stack features for Netic's AI platform within days.Manage projects from start to finish: Lead initiatives from specification to production, including data modeling, API development, front-end refinement, and post-launch enhancements.Collaborate with users: Engage closely with our clients to understand their workflows, collect feedback, and transform challenges into effective features.Learning Opportunities:Master Full-stack Development: Gain expertise in technologies such as React, TypeScript, and Python, along with experience in databases and cloud infrastructure.Dive into AI: Work directly with large language models and cutting-edge infrastructure.Experience Leadership: Understand what it takes to operate a successful startup, balancing resourcefulness with creativity and technical excellence.We believe that fulfillment comes from delivering your best work alongside the smartest minds. All positions are in-person at our San Francisco office located in Jackson Square. Our core values include:A passion for buildingA determination to overcome obstacles and succeedA commitment to obsess over our customers in every detail...
Join Foxglove and help shape the future of robotics by building robust data infrastructure for real-world robotic operations.As robotics transitions from theoretical research to practical applications in factories, warehouses, and field environments, engineers depend on data to diagnose failures, understand unexpected behaviors, and implement improvements.At Foxglove, we develop tools for observability, visualization, and data management that empower robotics and autonomous systems teams to efficiently handle large volumes of multimodal sensor data from both live systems and production fleets.About the RoleWe are seeking a motivated recent graduate to join our engineering team, where you will contribute to essential infrastructure for scaling robotics and autonomous systems. Your work will span the entire tech stack—from software running on devices in the field to cloud systems that manage extensive sensor data.This position is perfect for individuals passionate about robotics who want to create the foundational tools that robotics engineers depend on daily.Key ResponsibilitiesIntegrate with robotics frameworks (e.g., ROS) to create reliable, efficient software for various devices.Facilitate connectivity, observability, and telemetry for devices in constrained environments.Ingest and process massive volumes of sensor data through batch and real-time pipelines.Develop systems for low-latency, random-access playback of extensive live or recorded multimodal data.Create features that assist robotics engineers in organizing, searching, and serving their data for training machine learning models.Design and manage distributed systems for collecting, transforming, and serving observability and analytics data.Operate in multi-cloud environments (GCP, AWS, Azure), including deployments in customer cloud accounts.Our Technical StackRustTypeScriptPostgreSQLKubernetesGCP, Azure, and AWSAgentic coding tools (Claude Code / Cursor)
Notion Labs Inc. seeks a Software Engineer - Recent Graduate to join the team in San Francisco, California. This position involves working alongside experienced engineers on projects that shape productivity software. Key responsibilities Write and debug code for both new features and existing products Work closely with team members to improve the product Share ideas and solutions during team meetings Develop technical skills within a supportive team What we look for Recent graduate interested in launching a software engineering career Willingness to learn from experienced colleagues Curiosity about building tools that support better collaboration
Full-time|$124K/yr - $155K/yr|On-site|San Francisco, CA
At Scale AI, we are dedicated to advancing the development of artificial intelligence applications. For the past eight years, we have established ourselves as the foremost AI data foundry, contributing to groundbreaking innovations in AI, including generative AI, defense systems, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance our capabilities in providing frontier data, facilitating the journey towards Artificial General Intelligence (AGI), and expanding our offerings for both public and private evaluations. Example Projects:Develop tools to foster the growth of new qualified contributors on Scale’s labeling platform.Implement systematic fraud-detection systems to ensure the integrity and trustworthiness of our contributor base.Utilize models to assess the quality of tasks and labelers, ensuring quality assurance at scale.Design advanced matching algorithms to connect labelers with clients for optimal results.Create methods for automatic measurement, training, and effective matching of labelers to tasks based on performance metrics.Develop user-friendly UI/UX tools, integrating machine learning algorithms for over 100,000 labelers to handle billions of complex tasks efficiently.Construct new AI infrastructure products for visualizing, querying, and exploring Scale data.Develop a customer service RAG application capable of managing thousands of inquiries daily.Integrate state-of-the-art ML models to predict customer churn within retention systems.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.
At Mission Graduates, we are dedicated to enhancing the educational prospects of K-12 students in San Francisco's Mission District. Our commitment is reflected in our extensive after-school support services that annually benefit over 1,500 children, youth, and families. We envision a future where college education is the norm for families in the Mission, fostering a culture of academic excellence.We invite enthusiastic individuals to join our volunteer team at Mission Graduates’ Extended Day Program and Beacon Sites. This is a unique chance to make a significant impact on the lives of our students while gaining invaluable experience. Volunteer roles include:Elementary School Level TutoringMiddle School Level TutoringEnglish as a Second Language (ESL) TutoringSite SupportSpanish TutoringEmbrace the opportunity to create change and inspire the next generation through education!
Full-time|$120K/yr - $135K/yr|On-site|San Francisco, New York
Thank you for your interest in joining Uncountable Engineering!Position OverviewUncountable is on the lookout for a dynamic Product Manager who has recently graduated or is about to graduate from university. This opportunity is ideal for a high-achieving Computer Science student eager to dive into product management or gain comprehensive product and business insights before launching their own venture. The role promises a fast-paced environment filled with responsibilities and a significant learning curve.Our mission is to transform industrial research and development. We seek a passionate Product Manager to help create a cutting-edge development platform used by Fortune 500 companies.This position requires in-person attendance at either our San Francisco or New York office.Key ResponsibilitiesYour primary duties will include feature prioritization, project planning, issue triage, and providing support to engineers.Tasks may include:Creating over 20 tickets weekly with detailed implementation plansDrafting planning documents for larger initiativesMaking strategic decisions about customer-facing issuesEngaging in management-level discussions and contributing to company strategies for platform evolutionImportant ConsiderationsPlease read the following before applying:Uncountable is an engineering-first organization and requires a Product Manager who can collaborate closely with engineers. Applications without a Computer Science degree will not be considered. Candidates will be asked to demonstrate coding skills during the interview.We prioritize execution over ideation. The leverage you will have as a Product Manager will depend on your dedication to writing tickets, assisting engineers, and more. This is a role that demands hard work and commitment.Salary: $120,000 - $135,000 + equity
Why Choose Numeric?Accounting is the backbone of every business. Unfortunately, many software solutions in this field were designed in the early 2000s — cumbersome, slow, and outdated in terms of AI capabilities. Today, accountants are grappling with an escalating, unresolved data challenge stemming from complexity, data overload, and fragmented systems — leaving them without adequate tools for resolution. These challenges are significant, complex, and increasingly urgent. But they are solvable.Welcome to Numeric — the future of accounting and finance. We are developing a platform that embodies the vision of real-time, comprehensive, and reliable data and insights for organizations to enhance their decision-making and execution.Our mission addresses the foundational issues necessary for automating data ingestion, transformation, matching, projection, and reporting, creating a seamless graph of financial data. By integrating data, automation, workflows, and AI-driven experiences, we empower accounting teams to maintain a continuous view of their company’s financial health and activities.With strong product-market fit and a growing customer base that includes leaders such as Anthropic, Brex, OpenAI, Plaid, and Wealthfront, we are backed by top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, alongside founders and executives from Ramp, Segment, and other pioneering firms.About the RoleAs a Product Software Engineer at Numeric, you will take charge of the entire product lifecycle, directly influencing our product strategy and direction. We seek innovative, dynamic builders with robust foundational skills and a commitment to enhancing user experiences and addressing key challenges.Potential ResponsibilitiesYou may work on our advanced data platform, which includes:Ingestion processes, metadata management, lineage tracking, and transformation for thorough analysis and insights while ensuring source traceability.Our reporting tools, enabling end-users to create flexible, highly-structured financial projections that can be saved as reports and seamlessly integrated into their workflows. These reports are both traceable and composable, allowing users to delve into transaction-level details and beyond.Monitoring systems, empowering clients to identify and rectify data issues at the source and prevent errors...
Join Giga: Pioneering AI InnovationGiga is at the forefront of revolutionizing customer experiences through advanced AI technology. With a recent $61M Series A funding and a roster of prestigious clients like DoorDash, we are committed to developing real-time AI agents capable of understanding emotions, resolving issues swiftly, and scaling across the globe's largest enterprises.This is a pivotal moment for Giga as we aim to become the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To reach our ambitious goals, we are on the lookout for talented engineers to join our dynamic team.Our engineers enjoy significant autonomy, allowing them to make impactful contributions from day one. With visionary founders, proven commercial success, and a clear trajectory towards becoming a generational company, this is a unique opportunity to be part of something extraordinary.Giga Secures $61M in Series A FundingPartnership Between DoorDash and GigaAt Giga, we empower the world's leading B2C companies to build trusted AI agents that enhance their support and operational workflows across various channels. If you are excited about being part of this innovative journey, we encourage you to apply!
Full-time|$100K/yr - $150K/yr|On-site|San Francisco, Chicago
About LoopAt Loop, we are revolutionizing the global supply chain with our innovative data platform. Our mission is to transform chaotic, unstructured data—often stuck in PDFs, emails, and outdated systems—into a structured and actionable 'source of truth' that automates payments and audits for Fortune 100 companies.We are building the financial backbone for a $100 trillion physical economy, ensuring that freight movements are efficient and that carriers receive payments instantly.Supported by leading investors such as Founders Fund, Index Ventures, and 8VC, we are experiencing rapid growth. We seek engineers eager to deploy production-level AI that drives the physical economy forward.About the New Grad ProgramUnlike traditional AI that remains confined to the browser, our technology interacts with the physical world. In this program, you will not merely develop features; you will be instrumental in creating the autonomous intelligence behind the Fortune 100’s global supply chain.This program is designed to compress three years of learning into just one year. From Day 1, you will engage with production AI systems, tackling real-world challenges and making a direct impact on customers. This intensive program requires a significant commitment, but upon completion, you will emerge as a competent entry-level engineer, ready to launch your career.The Schedule:Week 1 (Onboarding): Immerse yourself in our tools and domain. You will deploy code to production on Day 1 and master our development loop by the end of the week.Months 1-3 (Velocity): Complete three entry-level projects with increasing complexity. By the end of Month 3, you will be expected to operate as a fully independent engineer.Months 4-9 (The Rotation): Rotate onto different high-impact teams to broaden your expertise. Possible tracks include:Platform: AI infrastructure and Engineering Systems.Core Product: Audit, Billing, and Payments logic.Commercial: Revenue Activation and Forward Deployed Engineering.Special Projects: Collaborating directly with the CEO/CTO and other executives.Month 9+ (Graduation): You will demonstrate mid-level engineering performance and may be considered for immediate promotion.
Full-time|$128K/yr - $142K/yr|On-site|San Francisco, CA, Seattle, WA
Airbnb’s Quality Reputation team focuses on building customer-facing products that improve user experience and trust. This group develops systems to assess listing quality, highlight standout offerings, and protect users through proactive measures. Engineers here work closely with design, product management, data science, legal, and marketing to deliver reliable solutions. Role overview This iOS Software Engineer position is open to new graduates interested in shaping Airbnb’s mobile experience. The role involves creating, maintaining, and improving iOS features, with an emphasis on delivering high-quality, dependable products for Airbnb’s global community. Some projects may include AI-driven features, where a foundation in machine learning can help develop smarter, more personalized experiences for hosts and guests. Engineers in this role contribute to a collaborative culture, seek and share feedback, and help onboard new teammates. Independence, curiosity, empathy, and clear communication are valued. Following best practices and a commitment to continuous learning are important parts of the job. What you will do Participate in team meetings to discuss priorities, share updates, and address blockers Write code to fix bugs, develop new iOS features, and refine UI components with a focus on code quality Location This role is based in San Francisco, CA or Seattle, WA.
Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.
At Netic, we are pioneering the AI revenue engine that powers essential services, forming the backbone of the American economy.With a robust $43 million in funding from prominent investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Today, numerous companies are operating entirely through an AI-first approach on the Netic platform.Joining our team means collaborating with passionate builders from renowned organizations such as Scale, Databricks, HRT, Meta, and prominent academic institutions like MIT, Stanford, and Harvard. Together, we are advancing frontier AI technologies within the physical economy, where challenges are complex, data is intricate, and the impact is both immediate and significant.As a Software Engineer on our Product team, you will develop innovative features that seamlessly integrate AI into real-world business applications. This role emphasizes technical excellence and a deep understanding of customer needs, enabling us to create products that simplify complex AI technologies and deliver immediate value to essential service industries.
About Poseidon Aerospace Poseidon Aerospace designs and operates unmanned aircraft for commercial logistics and defense. The company’s main platforms, the Heron seaplane and the Egret STOL aircraft, are built to transport payloads up to two tons across distances greater than one thousand nautical miles. Headquarters are in San Francisco, with additional offices in Washington, DC and Maine. Role Overview: Mechanical Engineer – Recent Graduate This role focuses on designing structural and mechanical systems that improve the performance and manufacturability of composite aircraft. Mechanical Engineers at Poseidon Aerospace work on CAD design, develop mechanisms, and conduct finite element analysis to create lightweight, reliable structures for both aerial and marine use. What You Will Do Design mechanical and structural components for unmanned aircraft using CAD tools Develop mechanisms that support aircraft functionality and manufacturability Apply finite element analysis to optimize structures for strength and weight Collaborate closely with manufacturing engineers, aerodynamics experts, and test teams Participate in both analytical work and hands-on development of flight hardware Location This position is based in San Francisco.
About CartesiaAt Cartesia, our vision is to create the future of AI—an intelligent, interactive system that seamlessly integrates into your daily life. Today, even the most advanced models struggle to process and analyze vast streams of audio, video, and text data—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially on-device.We are at the forefront of developing the model architectures that will make these capabilities a reality. Our founding team, who met as PhD candidates at the Stanford AI Lab, pioneered State Space Models (SSMs), a novel approach for training efficient, large-scale foundational models. Our diverse team combines deep expertise in model innovation and systems engineering with a design-oriented product engineering team to create and deliver cutting-edge models and experiences.With support from leading investors such as Index Ventures, Lightspeed Venture Partners, Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and others, along with guidance from an exceptional group of advisors and over 90 angel investors across various industries, we are well-positioned to redefine the AI landscape.About the RoleWe are seeking a passionate Product Software Engineer to join our team, focusing on building and scaling the platform infrastructure that supports Cartesia's voice AI products. In this role, you will develop composable platform components that enhance feature delivery across our API and conversational AI systems.Your ImpactDevelop and scale product platform components to facilitate Cartesia's growth.Take ownership of critical product infrastructure end-to-end, including real-time systems.Collaborate with product teams to identify common needs and create platform primitives that enhance their development speed.What You BringA minimum of 3 years of experience as a backend or platform engineer with a focus on building scalable systems.A customer-centric mindset that prioritizes outcomes over technical specifications.A proactive approach to owning your work, tackling ambiguous challenges, and achieving results.Strong decision-making skills regarding when to expedite development and when to invest in scalability.Familiarity with our technology stack: TypeScript for frontend, Python and Go for backend. Expertise in all three is not required, but a willingness to learn is essential.Nice-to-HavesExperience with AI or machine learning systems.Background in working with real-time data processing.
The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.
About UsAt Braintrust, we are pioneering the AI observability landscape. Our platform seamlessly integrates evaluations and observability into a unified workflow, providing developers with crucial insights into AI behavior in production and powerful tools for enhancement.Our clients, including renowned teams at Notion, Stripe, Zapier, Vercel, and Ramp, leverage Braintrust to benchmark models, optimize prompts, and identify regressions, transforming production data into superior AI functionality with each iteration.The OpportunityWe are in search of a motivated Product Engineer who is enthusiastic about crafting tools that users adore and rely on daily. In this role, you will engage closely with our users—developers, product managers, and designers in the AI domain—and significantly influence our product roadmap.Our platform is built on a high-performance, local-first architecture with a visualization-heavy UI, utilizing modern Typescript and React. Our clientele, comprised of some of the leading technology firms, demands a product that is exceptionally fast, reliable, and user-friendly.Your ResponsibilitiesKey responsibilities include:Guaranteeing a seamless experience for customers enabling AI observability in their systems.Contributing to the foundational UI architecture with a focus on performance and efficient data loading strategies.You will also develop user-facing components for Braintrust, such as:An exceptional prompt playground that accommodates multiple models and thousands of user inputs.A robust system for managing prompts, configurations, and version comparisons.A scalable multiplayer human review system.LLM output analysis and comparison across extensive datasets.Ideal Candidate ProfileProficient in Typescript, React, HTML, CSS, SQL, and NextJS.Experience in founding or working with startups is advantageous.Familiarity with writing prompts and experimenting with GPT models and applications.What We OfferComprehensive medical, dental, and vision coverage.Daily lunch, snacks, and beverages provided.Flexible time-off policy.Competitive salary and equity opportunities.AI stipend for continued learning and tools.Commitment to DiversityBraintrust is a staunch advocate for equal opportunity in the workplace. We believe in fostering a diverse and inclusive environment.
Join us at sfcompute as we revolutionize the landscape of infrastructure development, addressing the complexities of the largest infrastructure build-out ever undertaken.In the realm of GPU financing, where massive data centers and their supporting infrastructure are involved, the concept of 'offtake' is crucial—this means securing lease contracts before the clusters are even constructed.The risk associated with financing GPU clusters is significant, given the slim margins and vast volumes involved. Lenders seek assurance that developers can meet their financial obligations, while developers are keen to avoid the pitfalls of unsold clusters. Consequently, this risk is often transferred to customers through fixed-price long-term contracts.Without effective risk mitigation for customers, the industry faces potential collapse. Unlike traditional SaaS models, application companies are tied into long-term contracts for computational resources but operate under monthly billing to end-users. A small misstep in sales can lead to dire financial consequences. Imagine if companies had the option to exit their contracts by reselling them in a liquid market.As AI technology advances, access to compute power may increasingly be restricted to those who can shoulder substantial financial risks. A small startup in San Francisco shouldn't have to commit to a lengthy, high-value contract for supercomputers; instead, they might benefit from flexible liquidity options provided by the market.This is precisely what we are creating: a vibrant, liquid market for GPU offtake.About the RoleAs a Product Software Engineer at sfcompute, you will play a pivotal role in developing products that mitigate risks associated with this monumental infrastructure buildout.Your work will involve collaborating across teams to design and implement sophisticated yet user-friendly interfaces for:Public cloud services that provide access to billion-dollar supercomputers.Innovative computing markets and their associated financial products.Cost-effective trillion-token inference capabilities.ResponsibilitiesLead the development of new user-facing features for our public cloud platform, marketplace, and other products.Deliver outstanding user experiences through meticulous UI/UX design, utilizing frameworks like React and Next.js.Collaborate with developers from leading AI startups and research labs to transition features from concept to production, directly addressing their demands.... (additional responsibilities to be detailed).
Full-time|On-site|New York, NY or San Francisco, CA
Join Mercury as a Sales Development Representative, where you will have the opportunity to kickstart your career in sales and contribute to innovative financial solutions. As a recent graduate, you will engage with potential clients, develop your sales skills, and help expand our customer base in a dynamic environment.
Julius is an early-stage applied AI startup in San Francisco focused on making software creation accessible at scale. The team builds agents that streamline knowledge work through code, with a current emphasis on data science and analytical tools. Julius has processed over a million lines of code every 36 hours, served more than a million users, and generated millions of data visualizations. The company is revenue-generating and supported by investors including AI Grant, YCombinator, Bessemer Venture Partners, and founders from leading tech companies. Team members bring experience from organizations such as Uber, Facebook, and Scale AI. Role overview The Software Engineer - Product (Recent Graduate) role focuses on creating user interfaces that are both intuitive and high-performing. Julius’s platform integrates tool use, multi-step reasoning, code generation and execution, and file management. Engineers in this position contribute to shaping and building these experiences for an expanding user base. Requirements Recent graduate with a background in software engineering or a related field Interest in building user interfaces and product experiences Ability to work onsite in San Francisco, CA Benefits Comprehensive health and dental insurance Gym reimbursement Daily team meals Commuter benefits Location This position is based in San Francisco, CA.
At Netic, we're revolutionizing the essential services industry through AI innovation, driving growth for businesses that form the backbone of the American economy.With a robust $43M in funding from industry giants like Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we empower our customers to book hundreds of thousands of jobs across various service sectors in North America. Today, several companies operate fully AI-first on the Netic platform.Joining our team means collaborating with relentless innovators from prestigious organizations such as Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we tackle complex problems in the physical economy, where data is intricate and the impact is significant.At Netic, we create features that enable real businesses to leverage AI effectively. As a recent graduate, you will benefit from a dedicated mentor who will guide you through the entire process of supporting clients, deploying features, and iterating rapidly.We are seeking new graduates who can start as early as Summer 2026.Key Responsibilities:Develop AI-driven products: Conceptualize, code, and launch full-stack features for Netic's AI platform within days.Manage projects from start to finish: Lead initiatives from specification to production, including data modeling, API development, front-end refinement, and post-launch enhancements.Collaborate with users: Engage closely with our clients to understand their workflows, collect feedback, and transform challenges into effective features.Learning Opportunities:Master Full-stack Development: Gain expertise in technologies such as React, TypeScript, and Python, along with experience in databases and cloud infrastructure.Dive into AI: Work directly with large language models and cutting-edge infrastructure.Experience Leadership: Understand what it takes to operate a successful startup, balancing resourcefulness with creativity and technical excellence.We believe that fulfillment comes from delivering your best work alongside the smartest minds. All positions are in-person at our San Francisco office located in Jackson Square. Our core values include:A passion for buildingA determination to overcome obstacles and succeedA commitment to obsess over our customers in every detail...
Join Foxglove and help shape the future of robotics by building robust data infrastructure for real-world robotic operations.As robotics transitions from theoretical research to practical applications in factories, warehouses, and field environments, engineers depend on data to diagnose failures, understand unexpected behaviors, and implement improvements.At Foxglove, we develop tools for observability, visualization, and data management that empower robotics and autonomous systems teams to efficiently handle large volumes of multimodal sensor data from both live systems and production fleets.About the RoleWe are seeking a motivated recent graduate to join our engineering team, where you will contribute to essential infrastructure for scaling robotics and autonomous systems. Your work will span the entire tech stack—from software running on devices in the field to cloud systems that manage extensive sensor data.This position is perfect for individuals passionate about robotics who want to create the foundational tools that robotics engineers depend on daily.Key ResponsibilitiesIntegrate with robotics frameworks (e.g., ROS) to create reliable, efficient software for various devices.Facilitate connectivity, observability, and telemetry for devices in constrained environments.Ingest and process massive volumes of sensor data through batch and real-time pipelines.Develop systems for low-latency, random-access playback of extensive live or recorded multimodal data.Create features that assist robotics engineers in organizing, searching, and serving their data for training machine learning models.Design and manage distributed systems for collecting, transforming, and serving observability and analytics data.Operate in multi-cloud environments (GCP, AWS, Azure), including deployments in customer cloud accounts.Our Technical StackRustTypeScriptPostgreSQLKubernetesGCP, Azure, and AWSAgentic coding tools (Claude Code / Cursor)
Notion Labs Inc. seeks a Software Engineer - Recent Graduate to join the team in San Francisco, California. This position involves working alongside experienced engineers on projects that shape productivity software. Key responsibilities Write and debug code for both new features and existing products Work closely with team members to improve the product Share ideas and solutions during team meetings Develop technical skills within a supportive team What we look for Recent graduate interested in launching a software engineering career Willingness to learn from experienced colleagues Curiosity about building tools that support better collaboration
Full-time|$124K/yr - $155K/yr|On-site|San Francisco, CA
At Scale AI, we are dedicated to advancing the development of artificial intelligence applications. For the past eight years, we have established ourselves as the foremost AI data foundry, contributing to groundbreaking innovations in AI, including generative AI, defense systems, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance our capabilities in providing frontier data, facilitating the journey towards Artificial General Intelligence (AGI), and expanding our offerings for both public and private evaluations. Example Projects:Develop tools to foster the growth of new qualified contributors on Scale’s labeling platform.Implement systematic fraud-detection systems to ensure the integrity and trustworthiness of our contributor base.Utilize models to assess the quality of tasks and labelers, ensuring quality assurance at scale.Design advanced matching algorithms to connect labelers with clients for optimal results.Create methods for automatic measurement, training, and effective matching of labelers to tasks based on performance metrics.Develop user-friendly UI/UX tools, integrating machine learning algorithms for over 100,000 labelers to handle billions of complex tasks efficiently.Construct new AI infrastructure products for visualizing, querying, and exploring Scale data.Develop a customer service RAG application capable of managing thousands of inquiries daily.Integrate state-of-the-art ML models to predict customer churn within retention systems.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.
At Mission Graduates, we are dedicated to enhancing the educational prospects of K-12 students in San Francisco's Mission District. Our commitment is reflected in our extensive after-school support services that annually benefit over 1,500 children, youth, and families. We envision a future where college education is the norm for families in the Mission, fostering a culture of academic excellence.We invite enthusiastic individuals to join our volunteer team at Mission Graduates’ Extended Day Program and Beacon Sites. This is a unique chance to make a significant impact on the lives of our students while gaining invaluable experience. Volunteer roles include:Elementary School Level TutoringMiddle School Level TutoringEnglish as a Second Language (ESL) TutoringSite SupportSpanish TutoringEmbrace the opportunity to create change and inspire the next generation through education!
Full-time|$120K/yr - $135K/yr|On-site|San Francisco, New York
Thank you for your interest in joining Uncountable Engineering!Position OverviewUncountable is on the lookout for a dynamic Product Manager who has recently graduated or is about to graduate from university. This opportunity is ideal for a high-achieving Computer Science student eager to dive into product management or gain comprehensive product and business insights before launching their own venture. The role promises a fast-paced environment filled with responsibilities and a significant learning curve.Our mission is to transform industrial research and development. We seek a passionate Product Manager to help create a cutting-edge development platform used by Fortune 500 companies.This position requires in-person attendance at either our San Francisco or New York office.Key ResponsibilitiesYour primary duties will include feature prioritization, project planning, issue triage, and providing support to engineers.Tasks may include:Creating over 20 tickets weekly with detailed implementation plansDrafting planning documents for larger initiativesMaking strategic decisions about customer-facing issuesEngaging in management-level discussions and contributing to company strategies for platform evolutionImportant ConsiderationsPlease read the following before applying:Uncountable is an engineering-first organization and requires a Product Manager who can collaborate closely with engineers. Applications without a Computer Science degree will not be considered. Candidates will be asked to demonstrate coding skills during the interview.We prioritize execution over ideation. The leverage you will have as a Product Manager will depend on your dedication to writing tickets, assisting engineers, and more. This is a role that demands hard work and commitment.Salary: $120,000 - $135,000 + equity
Why Choose Numeric?Accounting is the backbone of every business. Unfortunately, many software solutions in this field were designed in the early 2000s — cumbersome, slow, and outdated in terms of AI capabilities. Today, accountants are grappling with an escalating, unresolved data challenge stemming from complexity, data overload, and fragmented systems — leaving them without adequate tools for resolution. These challenges are significant, complex, and increasingly urgent. But they are solvable.Welcome to Numeric — the future of accounting and finance. We are developing a platform that embodies the vision of real-time, comprehensive, and reliable data and insights for organizations to enhance their decision-making and execution.Our mission addresses the foundational issues necessary for automating data ingestion, transformation, matching, projection, and reporting, creating a seamless graph of financial data. By integrating data, automation, workflows, and AI-driven experiences, we empower accounting teams to maintain a continuous view of their company’s financial health and activities.With strong product-market fit and a growing customer base that includes leaders such as Anthropic, Brex, OpenAI, Plaid, and Wealthfront, we are backed by top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, alongside founders and executives from Ramp, Segment, and other pioneering firms.About the RoleAs a Product Software Engineer at Numeric, you will take charge of the entire product lifecycle, directly influencing our product strategy and direction. We seek innovative, dynamic builders with robust foundational skills and a commitment to enhancing user experiences and addressing key challenges.Potential ResponsibilitiesYou may work on our advanced data platform, which includes:Ingestion processes, metadata management, lineage tracking, and transformation for thorough analysis and insights while ensuring source traceability.Our reporting tools, enabling end-users to create flexible, highly-structured financial projections that can be saved as reports and seamlessly integrated into their workflows. These reports are both traceable and composable, allowing users to delve into transaction-level details and beyond.Monitoring systems, empowering clients to identify and rectify data issues at the source and prevent errors...
Join Giga: Pioneering AI InnovationGiga is at the forefront of revolutionizing customer experiences through advanced AI technology. With a recent $61M Series A funding and a roster of prestigious clients like DoorDash, we are committed to developing real-time AI agents capable of understanding emotions, resolving issues swiftly, and scaling across the globe's largest enterprises.This is a pivotal moment for Giga as we aim to become the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To reach our ambitious goals, we are on the lookout for talented engineers to join our dynamic team.Our engineers enjoy significant autonomy, allowing them to make impactful contributions from day one. With visionary founders, proven commercial success, and a clear trajectory towards becoming a generational company, this is a unique opportunity to be part of something extraordinary.Giga Secures $61M in Series A FundingPartnership Between DoorDash and GigaAt Giga, we empower the world's leading B2C companies to build trusted AI agents that enhance their support and operational workflows across various channels. If you are excited about being part of this innovative journey, we encourage you to apply!
Full-time|$100K/yr - $150K/yr|On-site|San Francisco, Chicago
About LoopAt Loop, we are revolutionizing the global supply chain with our innovative data platform. Our mission is to transform chaotic, unstructured data—often stuck in PDFs, emails, and outdated systems—into a structured and actionable 'source of truth' that automates payments and audits for Fortune 100 companies.We are building the financial backbone for a $100 trillion physical economy, ensuring that freight movements are efficient and that carriers receive payments instantly.Supported by leading investors such as Founders Fund, Index Ventures, and 8VC, we are experiencing rapid growth. We seek engineers eager to deploy production-level AI that drives the physical economy forward.About the New Grad ProgramUnlike traditional AI that remains confined to the browser, our technology interacts with the physical world. In this program, you will not merely develop features; you will be instrumental in creating the autonomous intelligence behind the Fortune 100’s global supply chain.This program is designed to compress three years of learning into just one year. From Day 1, you will engage with production AI systems, tackling real-world challenges and making a direct impact on customers. This intensive program requires a significant commitment, but upon completion, you will emerge as a competent entry-level engineer, ready to launch your career.The Schedule:Week 1 (Onboarding): Immerse yourself in our tools and domain. You will deploy code to production on Day 1 and master our development loop by the end of the week.Months 1-3 (Velocity): Complete three entry-level projects with increasing complexity. By the end of Month 3, you will be expected to operate as a fully independent engineer.Months 4-9 (The Rotation): Rotate onto different high-impact teams to broaden your expertise. Possible tracks include:Platform: AI infrastructure and Engineering Systems.Core Product: Audit, Billing, and Payments logic.Commercial: Revenue Activation and Forward Deployed Engineering.Special Projects: Collaborating directly with the CEO/CTO and other executives.Month 9+ (Graduation): You will demonstrate mid-level engineering performance and may be considered for immediate promotion.
Full-time|$128K/yr - $142K/yr|On-site|San Francisco, CA, Seattle, WA
Airbnb’s Quality Reputation team focuses on building customer-facing products that improve user experience and trust. This group develops systems to assess listing quality, highlight standout offerings, and protect users through proactive measures. Engineers here work closely with design, product management, data science, legal, and marketing to deliver reliable solutions. Role overview This iOS Software Engineer position is open to new graduates interested in shaping Airbnb’s mobile experience. The role involves creating, maintaining, and improving iOS features, with an emphasis on delivering high-quality, dependable products for Airbnb’s global community. Some projects may include AI-driven features, where a foundation in machine learning can help develop smarter, more personalized experiences for hosts and guests. Engineers in this role contribute to a collaborative culture, seek and share feedback, and help onboard new teammates. Independence, curiosity, empathy, and clear communication are valued. Following best practices and a commitment to continuous learning are important parts of the job. What you will do Participate in team meetings to discuss priorities, share updates, and address blockers Write code to fix bugs, develop new iOS features, and refine UI components with a focus on code quality Location This role is based in San Francisco, CA or Seattle, WA.
Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.
At Netic, we are pioneering the AI revenue engine that powers essential services, forming the backbone of the American economy.With a robust $43 million in funding from prominent investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Today, numerous companies are operating entirely through an AI-first approach on the Netic platform.Joining our team means collaborating with passionate builders from renowned organizations such as Scale, Databricks, HRT, Meta, and prominent academic institutions like MIT, Stanford, and Harvard. Together, we are advancing frontier AI technologies within the physical economy, where challenges are complex, data is intricate, and the impact is both immediate and significant.As a Software Engineer on our Product team, you will develop innovative features that seamlessly integrate AI into real-world business applications. This role emphasizes technical excellence and a deep understanding of customer needs, enabling us to create products that simplify complex AI technologies and deliver immediate value to essential service industries.
About Poseidon Aerospace Poseidon Aerospace designs and operates unmanned aircraft for commercial logistics and defense. The company’s main platforms, the Heron seaplane and the Egret STOL aircraft, are built to transport payloads up to two tons across distances greater than one thousand nautical miles. Headquarters are in San Francisco, with additional offices in Washington, DC and Maine. Role Overview: Mechanical Engineer – Recent Graduate This role focuses on designing structural and mechanical systems that improve the performance and manufacturability of composite aircraft. Mechanical Engineers at Poseidon Aerospace work on CAD design, develop mechanisms, and conduct finite element analysis to create lightweight, reliable structures for both aerial and marine use. What You Will Do Design mechanical and structural components for unmanned aircraft using CAD tools Develop mechanisms that support aircraft functionality and manufacturability Apply finite element analysis to optimize structures for strength and weight Collaborate closely with manufacturing engineers, aerodynamics experts, and test teams Participate in both analytical work and hands-on development of flight hardware Location This position is based in San Francisco.
About CartesiaAt Cartesia, our vision is to create the future of AI—an intelligent, interactive system that seamlessly integrates into your daily life. Today, even the most advanced models struggle to process and analyze vast streams of audio, video, and text data—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially on-device.We are at the forefront of developing the model architectures that will make these capabilities a reality. Our founding team, who met as PhD candidates at the Stanford AI Lab, pioneered State Space Models (SSMs), a novel approach for training efficient, large-scale foundational models. Our diverse team combines deep expertise in model innovation and systems engineering with a design-oriented product engineering team to create and deliver cutting-edge models and experiences.With support from leading investors such as Index Ventures, Lightspeed Venture Partners, Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and others, along with guidance from an exceptional group of advisors and over 90 angel investors across various industries, we are well-positioned to redefine the AI landscape.About the RoleWe are seeking a passionate Product Software Engineer to join our team, focusing on building and scaling the platform infrastructure that supports Cartesia's voice AI products. In this role, you will develop composable platform components that enhance feature delivery across our API and conversational AI systems.Your ImpactDevelop and scale product platform components to facilitate Cartesia's growth.Take ownership of critical product infrastructure end-to-end, including real-time systems.Collaborate with product teams to identify common needs and create platform primitives that enhance their development speed.What You BringA minimum of 3 years of experience as a backend or platform engineer with a focus on building scalable systems.A customer-centric mindset that prioritizes outcomes over technical specifications.A proactive approach to owning your work, tackling ambiguous challenges, and achieving results.Strong decision-making skills regarding when to expedite development and when to invest in scalability.Familiarity with our technology stack: TypeScript for frontend, Python and Go for backend. Expertise in all three is not required, but a willingness to learn is essential.Nice-to-HavesExperience with AI or machine learning systems.Background in working with real-time data processing.
The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.
About UsAt Braintrust, we are pioneering the AI observability landscape. Our platform seamlessly integrates evaluations and observability into a unified workflow, providing developers with crucial insights into AI behavior in production and powerful tools for enhancement.Our clients, including renowned teams at Notion, Stripe, Zapier, Vercel, and Ramp, leverage Braintrust to benchmark models, optimize prompts, and identify regressions, transforming production data into superior AI functionality with each iteration.The OpportunityWe are in search of a motivated Product Engineer who is enthusiastic about crafting tools that users adore and rely on daily. In this role, you will engage closely with our users—developers, product managers, and designers in the AI domain—and significantly influence our product roadmap.Our platform is built on a high-performance, local-first architecture with a visualization-heavy UI, utilizing modern Typescript and React. Our clientele, comprised of some of the leading technology firms, demands a product that is exceptionally fast, reliable, and user-friendly.Your ResponsibilitiesKey responsibilities include:Guaranteeing a seamless experience for customers enabling AI observability in their systems.Contributing to the foundational UI architecture with a focus on performance and efficient data loading strategies.You will also develop user-facing components for Braintrust, such as:An exceptional prompt playground that accommodates multiple models and thousands of user inputs.A robust system for managing prompts, configurations, and version comparisons.A scalable multiplayer human review system.LLM output analysis and comparison across extensive datasets.Ideal Candidate ProfileProficient in Typescript, React, HTML, CSS, SQL, and NextJS.Experience in founding or working with startups is advantageous.Familiarity with writing prompts and experimenting with GPT models and applications.What We OfferComprehensive medical, dental, and vision coverage.Daily lunch, snacks, and beverages provided.Flexible time-off policy.Competitive salary and equity opportunities.AI stipend for continued learning and tools.Commitment to DiversityBraintrust is a staunch advocate for equal opportunity in the workplace. We believe in fostering a diverse and inclusive environment.
Join us at sfcompute as we revolutionize the landscape of infrastructure development, addressing the complexities of the largest infrastructure build-out ever undertaken.In the realm of GPU financing, where massive data centers and their supporting infrastructure are involved, the concept of 'offtake' is crucial—this means securing lease contracts before the clusters are even constructed.The risk associated with financing GPU clusters is significant, given the slim margins and vast volumes involved. Lenders seek assurance that developers can meet their financial obligations, while developers are keen to avoid the pitfalls of unsold clusters. Consequently, this risk is often transferred to customers through fixed-price long-term contracts.Without effective risk mitigation for customers, the industry faces potential collapse. Unlike traditional SaaS models, application companies are tied into long-term contracts for computational resources but operate under monthly billing to end-users. A small misstep in sales can lead to dire financial consequences. Imagine if companies had the option to exit their contracts by reselling them in a liquid market.As AI technology advances, access to compute power may increasingly be restricted to those who can shoulder substantial financial risks. A small startup in San Francisco shouldn't have to commit to a lengthy, high-value contract for supercomputers; instead, they might benefit from flexible liquidity options provided by the market.This is precisely what we are creating: a vibrant, liquid market for GPU offtake.About the RoleAs a Product Software Engineer at sfcompute, you will play a pivotal role in developing products that mitigate risks associated with this monumental infrastructure buildout.Your work will involve collaborating across teams to design and implement sophisticated yet user-friendly interfaces for:Public cloud services that provide access to billion-dollar supercomputers.Innovative computing markets and their associated financial products.Cost-effective trillion-token inference capabilities.ResponsibilitiesLead the development of new user-facing features for our public cloud platform, marketplace, and other products.Deliver outstanding user experiences through meticulous UI/UX design, utilizing frameworks like React and Next.js.Collaborate with developers from leading AI startups and research labs to transition features from concept to production, directly addressing their demands.... (additional responsibilities to be detailed).
Dec 10, 2025
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