<div><span style="color: rgb(209, 210, 211);">Scribble Data is an advanced analytics data product company. Scribble’s Enrich Intelligence platform is built to help teams rapidly build trustworthy data products for advanced analytics use cases.</span></div><div><span style="color: rgb(209, 210, 211);">Enrich provides a full-stack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a low-code consumption interface designed for business users.</span></div><div><span style="color: rgb(209, 210, 211);">With the launch of its new Hedwig engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a built-in rules engine.</span></div><h1><span style="color: rgb(209, 210, 211);">For added security and trust, Enrich offers various secure hosting options for customers, ranging from on-premise to virtual private cloud. To know more, visit&nbsp;</span><a href="http://www.scribbledata.io/" rel="noopener noreferrer" target="_blank" style="color: rgba(var(--sk_highlight,18,100,163),1);">www.scribbledata.io</a></h1>

scribbledata

<h3><br></h3><h3><br></h3><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">About Scribble Data</strong></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Scribble Data is an advanced analytics and LLM data products platform company.&nbsp;</span></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Our Enrich Intelligence platform is built to help teams rapidly build trustworthy data products for high-impact advanced analytics use cases. Enrich provides a full-stack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a low-code consumption interface designed for business users. With the launch of its new Hedwig engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a built-in rules engine.&nbsp;</span></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">For added security and trust, Enrich offers various secure hosting options for customers, ranging from on-premise to virtual private cloud.&nbsp;</span></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">We work smart, invest in tools and tech that are on the cutting edge of advanced analytics, and package all that we’ve learnt about efficiency and data mileage into our products. To know more, visit </span><a href="http://www.scribbledata.io/" rel="noopener noreferrer" target="_blank" style="color: rgb(102, 102, 102);">www.scribbledata.io</a><span style="color: rgb(102, 102, 102);">.</span></div><div><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">About the role</strong></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">We are looking for a stellar Head of Engineering. You will be working closely with the founders to realize their vision for ubiquitous ML and ML adoption.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">You will have the overall responsibility for all engineering-focused aspects of Scribble’s Enrich platform, and work with the Scribble Data core team to shape the product, organization, and delivery journey. </span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);"> You will be hands-on building, delivering, and selling Enrich, our LLM+ Data Products platform, with emphasis on building a scalable, robust, and secure platform.&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">You will be focused on extending functionality for Enrich (core and LLM extensions), with high attention-to-detail. You will be responsible for ensuring trust, robustness, performance, and ease of use of the platform, and growing and leading a team of high-performing engineers to achieve this objective. You'll need to manage solution deployments, people, and vendors. You might even need to travel, look squarely into the eyes of many customers and sell. You'll need to grudgingly accept feedback from market forces and prepare for pivots.&nbsp;</span></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">You will represent Scribble Data at public forums, build an engineering brand to attract the best of the talent, and contribute to shaping the public conversation around data products, LLM implementations, feature engineering, and related topics.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">About Enrich</strong></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Enrich is a full-stack solution in Python that enables customers to build internal-facing data products with MLRS (ML at Reasonable Scale) robustly and quickly. It trades scale of data for speed of development and deployment, strong auditability, and lower skill. It is a fully Python stack with single server packaged deployment with support for containerization if required. Simplicity and minimality are major considerations in everything that we do.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">Your Strengths</strong></div><ul><li style="text-align: justify;">Current/recent hands-on experience (programming) of developing production-grade software</li><li style="text-align: justify;">Proven record of building and managing teams of 5+ software engineers, remote or otherwise</li><li style="text-align: justify;">10+ years of industry experience owning and building software infrastructure including packaging, deploying, optimizing, and monitoring systems</li><li style="text-align: justify;">Strong system-level thinking and problem solving skills with the ability to make architecture decisions as well as deep dive on code at the line level</li><li style="text-align: justify;">Fluency&nbsp;in Python and SQL, with experience in another language like Java</li><li style="text-align: justify;">Proficiency in designing, implementing and automating systems for data workflow management</li><li style="text-align: justify;">Experience designing, developing, and deploying robust, scalable data architectures</li><li style="text-align: justify;">Proficiency in developing and publishing APIs using web services</li><li style="text-align: justify;">Experience in using distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), scalable search (e.g. Elasticsearch)</li><li style="text-align: justify;">Experience with containerization (e.g. Docker/Kubernetes), and other deployment tooling</li><li style="text-align: justify;">Experience with big data technologies like map-reduce, NoSQL, Spark, HBase, Hive</li><li style="text-align: justify;">Experience with data security protocols, data access controls, AWS/GCP/Azure security mechanisms at the data and access levels, database security, scripting attacks, API security</li><li style="text-align: justify;">Having built and shipped a product at a startup will be a plus</li><li style="text-align: justify;">A record of published patents and/or technical publications in peer-reviewed conferences and journals will be an added bonus</li><li style="text-align: justify;">Masters degree or higher in Computer Science</li><li style="text-align: justify;">Strong communication and collaboration skills to work with stakeholders from different backgrounds</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">Does this sound like you?</strong></div><ul><li style="text-align: justify;">You like adventure and have a stomach for learning and unlearning every day</li><li style="text-align: justify;">You are excited by powering up a whole generation of upcoming data applications</li><li style="text-align: justify;">You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively</li><li style="text-align: justify;">You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements</li><li style="text-align: justify;">You have the discipline to take audacious goals and break down years-long roadmaps into near term deliverables that provide value to business stakeholders</li><li style="text-align: justify;">You enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices</li><li style="text-align: justify;">You are comfortable selling to customers (not a biggie)</li><li style="text-align: justify;">You have a sense of humour</li></ul><div><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">GET EXCITED. Because you're about to make a huge impact.&nbsp;</strong></div><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Scribble Data is growing rapidly. We think of this phase of hiring as extending Scribble's core team, so if you want to get in on the ground floor, now would be a good time to look our way.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(102, 102, 102);">WHAT WE OFFER</strong></div><ul><li style="text-align: justify;">Primarily remote work</li><li style="text-align: justify;">A work culture that helps you innovate and evolve continuously</li><li style="text-align: justify;">A chance to shape the future of ML, marrying it with generative AI</li></ul><div><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Interested?&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Send us your resume at hello@scribbledata.io&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Know of someone else who you think should see this? Spread the word. Tell that friend who is perfect for this role.</span></div>