AI Support Engineer - San Francisco

Join the Reducto Team as a Support EngineerAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled accuracy. Our innovative technology unlocks vast amounts of unstructured data, from financial documents to health records, enabling vision models to interpret these resources just like a human would. This capability allows businesses to develop products, train models, and automate processes efficiently.We are experiencing exponential growth, having increased our revenue by 7x year-over-year, and proudly collaborate with a diverse range of clients, from leading AI organizations like Harvey and Vanta to major enterprises including FAANG companies and top trading firms.Backed by over $100 million from prestigious investors such as A16z, Benchmark, and First Round Capital, we are expanding our team and looking for a dedicated Support Engineer.

About ReductoAt Reducto, we empower AI teams to seamlessly ingest real-world enterprise data with unparalleled accuracy. Our innovative solutions unlock vast amounts of enterprise data—ranging from financial statements to health records—previously trapped in unstructured formats like PDFs and spreadsheets. By training vision models to interpret documents as humans do, we enable the development of products, training of models, and automation of processes at scale.Having experienced exponential growth, with a remarkable 7x year-over-year revenue increase, we collaborate with hundreds of companies, including leading AI teams such as Harvey, Vanta, and Scale, as well as major enterprises like FAANG and top trading firms.Backed by over $100 million from top-tier investors including A16z, Benchmark, and First Round Capital, we are in search of a talented Product Engineer to join our dynamic team.The RoleAs a Product Engineer, you will be instrumental in developing features that empower our customers to design, build, test, and evaluate their essential document workflows. Our mission is to democratize access to document data for everyone, regardless of their technical background. You will contribute to creating a comprehensive product suite that spans from document storage to the seamless export of parsed data for various applications. Your work will encompass everything from interactive document viewers to data extraction workflows, crafting user experiences that simplify complex AI functionalities.

About UsAt Reducto, we empower AI teams to accurately process real-world enterprise data. Our cutting-edge solutions unlock vast amounts of unstructured data—ranging from financial documents to health records—by training vision models to interpret these files intuitively, similar to human comprehension. This capability allows for scalable product development, model training, and process automation.With an impressive 7x year-over-year revenue growth, we collaborate with hundreds of leading organizations, including top AI teams and major enterprises. Our success is backed by over $100 million in funding from renowned investors such as A16z, Benchmark, and First Round Capital. We are seeking a dedicated Solutions Engineer to leverage our momentum and enhance our go-to-market strategies.The OpportunityJoin Reducto's solutions team as a key player in our customer engagements, facilitating sales and implementations with your technical prowess. You will serve as a vital link between our go-to-market and engineering teams, addressing the intricate needs of our enterprise clients. Your contributions will help shape the future growth of our organization.

At Reducto, we empower AI teams by enabling them to extract and utilize real-world enterprise data with unparalleled precision. Many valuable enterprise data types, including financial statements and health records, are often trapped in unstructured formats like PDFs and spreadsheets. Our advanced vision models mimic human reading capabilities, allowing teams to innovate, train AI models, and automate workflows seamlessly.Having experienced remarkable growth—an impressive 7x revenue increase year-over-year—Reducto has forged partnerships with hundreds of organizations, including top AI teams such as Harvey, Vanta, and Scale, alongside esteemed enterprise clients from FAANG and premier trading firms.We are proud to have secured over $100 million in funding from leading investors like a16z, Benchmark, and First Round Capital.The RoleAs the Executive Assistant to the CEO, you will be instrumental in ensuring the CEO remains focused and operates at maximum efficiency during this phase of rapid expansion. You will oversee the CEO’s email and calendar with considerable autonomy while dedicating approximately 10 hours per week to the effective operation of our San Francisco office. This position is built on trust, where your judgment and discretion will significantly influence how the CEO allocates their most precious resource: time.Key Responsibilities:Manage the CEO's inbox and calendar comprehensively, handling emails, drafting responses, scheduling meetings, and prioritizing tasks effectively.Proactively optimize and protect the CEO's schedule, resolving conflicts, creating time buffers, and ensuring dedicated focus periods.Organize logistics for both internal and external meetings, including preparing agendas, pre-reads, and following up on action items.Coordinate travel arrangements as necessary, including flights, accommodations, and detailed itineraries.Devote around 10 hours each week to managing office operations, overseeing supplies, vendor relations, facilities coordination, and fostering an excellent in-office experience for the team.Engage in various ad hoc projects and administrative tasks to ensure the leadership team can function smoothly and efficiently.Ideal Candidate:You maintain an exceptional standard for quality, accuracy, and discretion, treating the CEO's communications and schedule with the utmost care.You are a forward-thinking individual who anticipates needs, identifies potential issues early, and consistently follows through with minimal prompting.You possess over 4 years of experience supporting a CEO or C-suite executive, preferably in a fast-paced technology environment.

About ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled precision.Much of the vital enterprise data—from financial reports to healthcare records—remains trapped in unstructured formats like PDFs and spreadsheets. Our innovative vision models enable these documents to be read just as a human would, facilitating product development, model training, and process automation on a grand scale.Having achieved remarkable growth, with a 7x year-on-year revenue increase, we proudly serve hundreds of clients, including top AI teams such as Harvey, Vanta, Scale, and major enterprises like FAANG and leading trading firms.With over $100 million raised from premier investors including A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Lead Product Engineer.The RoleAs our Lead Product Engineer, you will be at the forefront of defining and developing features and platforms that drive our customers' essential business workflows. Collaborating closely with our founders and leadership, your mission will be to make document data accessible to everyone—from developers to non-technical users. You will create a comprehensive suite of products that allows clients to extract the data they need from their documents in the formats they require. Your responsibilities will include developing interactive document editors and intuitive interfaces for managing large datasets. In addition to shaping the product roadmap, you will help foster a culture focused on building outstanding products.

Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.

About ReductoReducto is revolutionizing the way AI teams access real-world enterprise data with unparalleled precision.Most enterprise data—from financial reports to health documentation—exists in unstructured formats like PDFs and spreadsheets. Our innovative vision models are trained to interpret these documents as a human would, enabling the development of products, training of models, and automation of processes at scale.We have experienced remarkable growth, with our revenue increasing 7x year-over-year, and currently collaborate with hundreds of leading AI teams (including Harvey, Vanta, Scale) as well as major enterprises (FAANG, top trading firms).Having secured over $100 million in funding from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a founding Business Development Representative.The OpportunityAs an integral member of our Go-To-Market (GTM) team, you will spearhead our outbound strategy and be pivotal in generating leads during this exciting phase of growth. This role offers a clear advancement path to an Account Executive position as our GTM organization evolves.We would love to meet you if the following resonates:You’re Resourceful: You demonstrate tenacity and creativity in connecting with potential customers. You don’t merely adhere to playbooks; you create them. We seek someone who identifies opportunities that others overlook and is willing to conduct innovative experiments to validate new outreach channels.You Understand Technical Buyers: With 2+ years of experience as a BDR or in a growth-oriented role, preferably selling technical products to technical buyers, you are adept at navigating this landscape.You Communicate Effectively: You have a knack for speaking the language of technical buyers and can quickly discern their needs. Your written and verbal communication skills are exceptional.You Are Organized and Process-Driven: Your organizational skills are outstanding, as you adhere to strict processes to maintain CRM integrity and track the experiments you conduct and their outcomes.You Are Familiar with Sales Development Best Practices: This isn’t your first experience in sales; you have explored various tools, know the messaging best practices, and understand how to scale an outbound initiative without cluttering your inbox.Your Core Responsibilities Will Include:80% of Your TimeDesigning and implementing innovative outbound campaigns to cultivate qualified leads.Establishing and optimizing new lead generation channels through content and marketing strategies.

About ReductoAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision. Our innovative solutions unlock the potential of unstructured data, transforming it from complex formats like PDFs and spreadsheets into actionable insights. By training advanced vision models, we enable the development of robust products, facilitate model training, and automate processes at scale.Our rapid growth—7x year-over-year revenue increase—has positioned us as a trusted partner for numerous companies, from leading AI innovators like Harvey and Vanta to industry giants such as FAANG and top trading firms. Having secured over $100 million in funding from prestigious investors including A16z, Benchmark, and First Round Capital, we are excited to expand our team with a Business Operations Associate to refine and enhance our operational functions.The OpportunityWe value ambition and talent above all else. If you believe you can contribute to our mission, we encourage you to apply even if you don't see a perfectly aligned role!

About ReductoAt Reducto, we empower AI teams to harness real-world enterprise data with unmatched precision. Our innovative solutions enable the extraction of valuable insights from traditionally unstructured formats such as PDFs and spreadsheets, allowing organizations to automate processes and develop cutting-edge products efficiently.In just a short period, we have achieved remarkable growth, increasing our revenue by 7x year over year. Our client portfolio includes a diverse range of companies, from top-tier AI teams like Harvey, Vanta, and Scale to leading enterprises within the FAANG group and the top three trading firms.With over $100 million raised from esteemed investors including A16z, Benchmark, and First Round Capital, we are now looking for a Head of Finance who will be instrumental in building our finance function and driving our next phase of expansion.The RoleWe are seeking a dynamic Head of Finance to lead and scale our financial operations during a time of rapid growth. This is a unique opportunity to join a well-funded startup that is already making waves in the AI sector as a senior finance leader.You will collaborate closely with the founders to establish a world-class finance department, implement scalable processes and systems, and deliver critical financial insights that will guide strategic decision-making as we scale from mid-seven figures to eight figures and beyond. This role is ideal for an individual who has navigated hypergrowth and is ready to construct a finance organization from the ground up.What You'll DoOversee all financial operations, including accounting, financial planning & analysis (FP&A), and strategic planning.Develop and lead financial planning processes encompassing budgeting, forecasting, and board reporting.Establish strong financial controls, systems, and processes that can scale with business growth.Collaborate with leadership on strategic decisions regarding pricing, unit economics, and resource distribution.Manage relationships with investors, auditors, banks, and other financial stakeholders.Build and scale the finance team in alignment with our growth trajectory.Provide data-driven insights that inform business decisions across the organization.Lead fundraising efforts and mergers & acquisitions when appropriate.What We're Looking ForExperience in an earlier-stage startup (Series A-C) where you built the finance function through hypergrowth to a team of 100-200+ people.Demonstrated ability to develop financial strategies that support rapid growth and scale.Strong analytical skills and a data-driven mindset.Excellent communication and leadership abilities.

About UsAt Reducto, we empower AI teams to seamlessly process real-world enterprise data with unparalleled precision. We specialize in transforming unstructured documents, such as PDFs and spreadsheets, into structured data that can be utilized effectively across various applications.Our innovative vision models mimic human reading capabilities, allowing businesses to automate processes, enhance product development, and train sophisticated AI models using their data. In just one year, we have scaled from zero to mid-7 figure ARR and now partner with a diverse range of clients, from top AI teams like Harvey and Vanta to prestigious enterprises including FAANG and elite trading firms.With over $100M raised from industry-leading investors such as a16z, Benchmark, and First Round Capital, Reducto is on a trajectory of rapid growth and innovation.The OpportunityAs our inaugural Customer Success Manager, you will have the unique opportunity to shape and establish our customer success function. You will manage a portfolio of high-value clients, focusing on improving logo retention and net revenue retention (NRR). Collaborating closely with technical teams using our platform, you’ll ensure they maximize the value derived from Reducto’s services, addressing complex document processing challenges efficiently.We would love to meet you if the following resonates:Strategic and Technical Mindset: You possess the ability to engage deeply with technical teams to comprehend their document processing requirements while keeping a strategic perspective on their overarching business goals. Comfortable in discussions about both technical details and business outcomes.Process-Driven Approach: You excel at designing scalable processes and are adept at laying the groundwork for a world-class customer success organization.Data-Driven Decision Maker: Proficient in tracking and analyzing customer health metrics, usage statistics, and business outcomes, you let data guide your decisions and clearly demonstrate ROI to customers.Exceptional Communication Skills: Your ability to engage with both technical practitioners and executive stakeholders is notable. You are skilled in documentation, customer training, and conducting strategic business reviews.Proactive and Independent: You actively monitor customer health, identifying opportunities to enhance value without waiting for issues to arise. Comfortable working autonomously while establishing scalable processes.

Join Reducto as a Machine Learning Evaluation Engineer where you will play a critical role in assessing and enhancing machine learning models. You will collaborate closely with data scientists and engineers to ensure our systems are efficient and accurate, bringing innovative solutions to challenging problems in the machine learning space.

About Reducto Reducto helps AI teams process complex, real-world enterprise data with high accuracy. Most enterprise information lives in unstructured formats like PDFs and spreadsheets. Our vision models read these documents as effectively as a person, supporting product development, model training, and process automation at scale. Reducto has seen rapid growth, revenue has increased 8x year-over-year. We work with a range of customers, from leading AI teams such as Harvey, Vanta, and Scale, to major corporations including FAANG companies and top trading firms. With over $100 million raised from investors like A16z, Benchmark, and First Round Capital, we are expanding our team in San Francisco. Role Overview: Infrastructure Engineer for Customer Deployments This role focuses on deploying Reducto’s platform into customer environments, which can include Virtual Private Clouds (VPCs) and on-premises bare metal. Each deployment brings its own set of hardware, networking, security, and reliability requirements. The engineer in this position works directly with customer teams to ensure successful, secure, and reliable deployments. Rather than building internal platforms, this role is about hands-on implementation and direct collaboration with enterprise customers’ infrastructure, security, and platform teams. The work bridges Reducto’s technology with customer systems, requiring both technical depth and strong communication skills. Main Responsibilities Plan, configure, test, and implement end-to-end deployments of Reducto in customer environments. Work closely with enterprise IT, security, and platform teams to understand their infrastructure and security policies, and design deployment strategies that fit their needs. Develop a deep understanding of the hardware supporting Reducto’s in-house machine learning models to ensure deployments run smoothly on customer systems. Build monitoring, telemetry, and phone-home solutions that provide visibility into customer-managed deployments while maintaining security standards. Troubleshoot and resolve infrastructure issues specific to each customer, such as Kubernetes configuration problems or cloud IAM challenges, to reduce downtime. Lead incident response for customer deployments, maintaining high operational standards. Document best practices and create reusable patterns for future deployments. Location This position is based at Reducto’s San Francisco office.

About ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unmatched precision. Our mission is to unlock the vast potential of enterprise data—whether it’s financial reports or health records—currently trapped in unstructured formats like PDFs and spreadsheets. We develop advanced vision models that interpret these documents as a human would, enabling the creation of innovative products, training of models, and automation of processes at scale.Having experienced remarkable growth, with a 7x increase in revenue year-over-year, we now collaborate with hundreds of organizations, from prominent AI teams such as Harvey, Vanta, and Scale, to major enterprises including FAANG and top trading firms.With over $100 million raised from esteemed investors like A16z, Benchmark, and First Round Capital, we are on the lookout for seasoned engineers to join our Platform team.The OpportunityAs a Senior Software Engineer on our Platform team, you will be pivotal in developing our core API, which facilitates document parsing for numerous companies. Your role will involve integrating cutting-edge large language models (LLMs), optimizing document processing pipelines, and building the foundational platform and infrastructure that democratizes state-of-the-art document understanding at scale. Collaboration with our machine learning engineers will be key, as we work together to deploy in-house models at the forefront of document understanding.

Join Reducto as an Agent Experience Engineer, where you'll play a pivotal role in enhancing the interaction and journey of our agents. Your innovative contributions will help shape the tools and platforms that empower our team to excel in their tasks. This is a unique opportunity to work at the intersection of technology and user experience in a dynamic environment.

About Fable SecurityIn today's landscape, AI-driven threats and human errors pose the greatest risks to enterprise security.Cybercriminals primarily target individuals rather than systems, with human errors accounting for 70% of security breaches. At Fable, we are committed to transforming individuals from potential targets into a robust layer of defense.Fable is the pioneering human risk platform that actively influences employee behavior. Our user-friendly, enterprise-grade platform consolidates diverse employee data, identifies risky actions, and delivers tailored interventions in real time, directly within their work environment.Supported by notable investors such as Redpoint Ventures and Greylock Partners, and founded by former team members of Abnormal Security, Fable is addressing one of cybersecurity's most pressing challenges in a multi-billion-dollar market. Our dynamic team comprises alumni from prestigious organizations like Meta, Twitter, Flexport, and esteemed universities including Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. Join us at this pivotal moment in our growth journey to help shape the future of security.

Join our dynamic team at plain as a Support Engineer, where you'll play a crucial role in ensuring our customers receive exceptional assistance and support. In this position, you will troubleshoot technical issues, provide solutions, and enhance user satisfaction. If you're passionate about technology and helping others, we want to hear from you!

Join us at reducto as a Founding Product Manager in our San Francisco office, where you'll play a pivotal role in shaping our product vision and strategy. Collaborate with cross-functional teams to create innovative solutions that meet customer needs and drive business growth. Your expertise will guide product development from conception to launch, ensuring alignment with our company goals.

At Reducto, we empower AI teams to seamlessly process real-world enterprise data with unparalleled precision. Our innovative technology transforms complex, unstructured file formats like PDFs and spreadsheets into accessible data, enabling organizations to develop products, train models, and automate workflows efficiently and at scale.Our rapid growth is evidenced by a 7x increase in revenue year-over-year, and we proudly partner with numerous industry-leading AI teams, such as Harvey, Vanta, and Scale, as well as major enterprises in the FAANG group and top trading firms.With over $100M raised from prestigious investors like a16z, Benchmark, and First Round Capital, we are poised for continued expansion.The OpportunityAs a Growth Marketing Manager, you will lead the strategic development and execution of initiatives designed to generate, accelerate, and expand our enterprise pipeline. You will collaborate closely with Product Marketing, Sales, and Growth teams to create a scalable demand generation engine that aligns with our company's vision.Your Responsibilities:Enhance our website and onboarding processes for improved user activation, including email and in-product messaging strategies.Design and implement lifecycle and reactivation campaigns.Oversee paid media channels and manage relationships with external agencies.Collaborate with Product Marketing and Sales teams to execute campaigns targeting specific accounts.Work in conjunction with Field Marketing and Sales teams on event-driven campaigns.Key Performance Indicators:Generated Enterprise PipelineActivated Self-Serve UsersYou Will Excel If You:Possess experience in growth or demand generation within a fast-paced startup environment.Embrace an experimental mindset and leverage data-driven decision-making.Have a background working with developer-focused audiences.Hold yourself to high standards of quality and attention to detail.Bonus Qualifications:Experience in early-stage or high-growth startups.Familiarity with leveraging technical or AI-native tools effectively.

About Our TeamThe Technical Support team plays a pivotal role in empowering developers and enterprises to create mission-critical solutions utilizing OpenAI models. Our mission is to offer technical guidance, resolve intricate issues, and assist our customers in maximizing the value and adoption of our powerful models. We collaborate closely with Technical Success, Product, Engineering, and other departments to ensure our customers receive an unparalleled experience at scale. Adopting an automation-first approach, we leverage cutting-edge AI technologies to enhance our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and contribute to revolutionizing Technical Support in the AI era.About the PositionWe are in search of a Senior Support Engineer to work alongside our strategic enterprise accounts and product teams, tackling some of the most challenging problems our customers face. As a key member of the elite technical troubleshooting team at OpenAI, you will be the go-to expert for both our customers and Engineering teams when addressing complex technical issues in our environment.In this role, you will design and manage operational processes to monitor our top strategic customers and lead a 24/7 response team. Collaborating closely with our Infrastructure and Engineering teams, you will ensure that our customers enjoy the best possible experience at scale. Engaging directly with our most strategic customers, you will be instrumental in the success of the most innovative, disruptive, and large-scale AI solutions developed using the OpenAI API platform.This position is characterized by low volume but high complexity.This role is based in San Francisco, CA, with a hybrid work model requiring three days in the office each week. We also offer relocation assistance to new employees.Key ResponsibilitiesServe as one of the leading technical and troubleshooting experts for our API platform at OpenAI, acting as the final line of defense before escalation to the core Engineering team.Proactively seek and implement strategies to enhance support operations through automation and advancements in AI technologies, playing a role in shaping the future of technical support in an AI-driven landscape.Set up and utilize advanced monitoring and alerting workflows to detect customer-impacting issues in real time.Collaborate with engineering teams to contribute to reliability reviews and preparation for new features, launches, or strategic customer requirements.