Reducto

Founding Infrastructure Engineer

Engineering Manager, API Platform

Founding Head of Finance

Solutions Engineer

Founding Security Engineer

Product Designer (2nd)

Backend/AI Engineer

Founding Forward Deployed Engineer

Machine Learning Engineer

Reducto helps AI teams ingest real-world enterprise data from unstructured formats like PDFs and spreadsheets with state-of-the-art accuracy. They train vision models to read documents like humans, enabling product building, model training, and process automation at scale. The company has grown significantly, working with hundreds of leading AI and enterprise teams, and has raised over $100M. This role is for the first dedicated Infrastructure Engineer to architect and scale resilient systems for AI/ML workloads, automate cloud infrastructure, and implement monitoring and incident response.

Founding Account Executive

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Reducto</h3><p class="my-4 text-gray-700 leading-relaxed">Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.</p><p class="my-4 text-gray-700 leading-relaxed">The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.</p><p class="my-4 text-gray-700 leading-relaxed">We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).</p><p class="my-4 text-gray-700 leading-relaxed">We've raised over 100M from world-class investors like A16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>The Opportunity</strong></p><p class="my-4 text-gray-700 leading-relaxed">As the first dedicated Infrastructure Engineer, you will influence every aspect of our infrastructure from the ground up. You will architect and scale resilient systems for AI and ML workloads, automate cloud infrastructure, and implement monitoring and incident response practices that set the standard for reliability. This role requires technical leadership, hands-on systems engineering, and strong collaboration with our founders and product teams as we build a company around reliability, rapid iteration, and high-impact product delivery.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The core work will include:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Designing, building, and maintaining highly available, scalable infrastructure to support intensive AI/ML workloads and real-time model deployments.</li><li class="leading-relaxed">Implementing robust monitoring, alerting, and observability systems to ensure system health, performance, and uptime across cloud and on-prem environments.</li><li class="leading-relaxed">Debugging, optimizing, and automating infrastructure for fast iteration and rapid deployment cycles, focusing on both reliability and developer velocity.</li><li class="leading-relaxed">Proactively identifying, investigating, and resolving incidents to minimize downtime and maintain world-class service levels for enterprise customers.</li><li class="leading-relaxed">Collaborating closely with engineers, ML specialists, and founders to shape product, infrastructure, and security strategies.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We would love to meet you if you:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Are your own worst critic—have an extremely high bar for quality and always aim for robust solutions rather than quick fixes.</li><li class="leading-relaxed">Have 5+ years of hands-on experience in building or supporting production-grade infrastructure and reliability processes for high-throughput systems.</li><li class="leading-relaxed">Are comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies.</li><li class="leading-relaxed">Build your own tools on the fly to diagnose, experiment, and address reliability problems—whether it's an internal dashboard or an automated remediation workflow.</li><li class="leading-relaxed">Bring a quantitative, hands-on approach to system operations, automation, and continuous improvement.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus points if you:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Have prior experience founding a company or building products/infrastructure in early-stage, high-growth environments.</li><li class="leading-relaxed">Are excited about automating incident management processes with LLMs/AI.</li><li class="leading-relaxed">Are driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving.</li><li class="leading-relaxed">Keep up with the latest trends in cloud, observability, and SRE best practices.</li><li class="leading-relaxed">Are passionate about open-source and have contributed tools or automation to reliability communities.</li><li class="leading-relaxed">Have built or optimized monitoring, incident response, or high-performance computing systems for demanding AI/ML, fintech, or enterprise clients.</li></ul><p class="my-4 text-gray-700 leading-relaxed">This is an in person role. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Reducto</h3><p class="my-4 text-gray-700 leading-relaxed"><em>Nearly 80% of enterprise data is in unstructured formats like PDFs</em></p><p class="my-4 text-gray-700 leading-relaxed">PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to <a href="https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">dozens of wasted hours every week</a>.</p><p class="my-4 text-gray-700 leading-relaxed"><em>Traditional approaches fail at reliably extracting information in complex PDFs</em></p><p class="my-4 text-gray-700 leading-relaxed">OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.</p><p class="my-4 text-gray-700 leading-relaxed"><a href="https://www.reducto.ai/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200"><strong>Reducto</strong></a> <strong>breaks document layouts into subsections and then contextually parses each depending on the type of content.</strong> This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Accurately extract text and tables even with nonstandard layouts</li><li class="leading-relaxed">Automatically convert graphs to tabular data and summarize images in documents</li><li class="leading-relaxed">Extract important fields from complex forms with simple, natural language instructions</li><li class="leading-relaxed">Build powerful retrieval pipelines using Reducto’s document metadata</li><li class="leading-relaxed">Intelligently chunk information using the document’s layout data</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits at Reducto</h3><p class="my-4 text-gray-700 leading-relaxed"><em>At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:</em></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Unlimited PTO:</strong> We believe great work requires recharging.</li><li class="leading-relaxed"><strong>Lunch:</strong> Receive a free lunch to eat with your teammates daily at the office</li><li class="leading-relaxed"><strong>Reimbursed Transportation:</strong> Provide us with your receipts and we’ll take care of the costs</li><li class="leading-relaxed"><strong>Insurance</strong>: Generous health insurance covering medical, dental, and vision.</li><li class="leading-relaxed"><strong>Health and Wellness Budget:</strong> We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.</li><li class="leading-relaxed"><strong>Parental Leave:</strong> Work with us to build a leave schedule that works for you and your family</li></ul><p class="my-4 text-gray-700 leading-relaxed">Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.</p>

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Line of Service</h2><p class="my-4 text-gray-700 leading-relaxed">Advisory</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Industry/Sector</h2><p class="my-4 text-gray-700 leading-relaxed">Not Applicable</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Specialism</h2><p class="my-4 text-gray-700 leading-relaxed">Data, Analytics & AI</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Management Level</h2><p class="my-4 text-gray-700 leading-relaxed">Senior Associate</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why PWC</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.</p><p class="my-4 text-gray-700 leading-relaxed">At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary: A career within….</h2><p class="my-4 text-gray-700 leading-relaxed">A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Must have:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Candidates with minimum 2-3 years of relevant experience for 5-8 years of total experience.</li><li class="leading-relaxed">Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services.</li><li class="leading-relaxed">Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level).</li><li class="leading-relaxed">Strong troubleshooting and debugging skills.</li><li class="leading-relaxed">Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines.</li><li class="leading-relaxed">Experience in writing complex PySpark queries to perform data analysis.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Mandatory skill sets:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Azure Databricks, Pyspark, Datafactory</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Preferred skill sets:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Azure Databricks, Pyspark, Datafactory, Python, Azure Devops</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Years of experience required:</h3><p class="my-4 text-gray-700 leading-relaxed">5-8yrs</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Education qualification:</h3><p class="my-4 text-gray-700 leading-relaxed">B.Tech / M.Tech / M.E / MCA/B.E</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education</h2><p class="my-4 text-gray-700 leading-relaxed">Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, Bachelor of Technology</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Required Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Azure Data Box, Databricks Platform</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Optional Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Travel Requirements</h2><p class="my-4 text-gray-700 leading-relaxed">Not Specified</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Available for Work Visa Sponsorship?</h2><p class="my-4 text-gray-700 leading-relaxed">No</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Government Clearance Required?</h2><p class="my-4 text-gray-700 leading-relaxed">No</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Posting End Date</h2>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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