• Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data • Integrate and optimize ETL/ELT processes developed by MLE colleagues, improving performance, reliability, and long-term maintainability • Own the full dataset lifecycle, from raw ingestion through cleaning, validation, and delivery as training-ready data • Define and enforce data quality standards and governance practices across the Data Foundry team • Build and maintain labeling pipeline infrastructure for ML applications, working closely with the annotation team • Participate in architectural decisions, code reviews, and technical mentorship within the team • Document data sources, pipeline logic, and processing decisions for reproducibility and team alignment

• Clean, normalize, and map incoming client data to ensure consistency and usability within the PatientNow platform • Execute data imports using internal tools and pre-built templates while ensuring data integrity and completeness • Identify, troubleshoot, and resolve data-related issues throughout the implementation lifecycle • Collaborate with Implementation Specialists to understand client use cases, business workflows, timelines, and technical requirements • Communicate directly with clients to collect data files, clarify requirements, and guide them through migration best practices • Provide ongoing support to clients by answering data-related questions and ensuring proper formatting standards are followed • Perform detailed quality assurance to validate imported data, ensuring accuracy and alignment with defined project scope • Maintain thorough documentation of data mappings, import history, validation results, and issue resolution for audit and support purposes • Work closely with Development Operations to monitor, prioritize, and complete data import tasks within defined SLA expectations • Contribute to the continuous improvement of migration processes, templates, internal tools, and documentation • Partner with Product and Engineering teams to escalate data structure limitations, identify integration needs, and provide feedback on customer pain points • Configure and maintain automated lead intake solutions that connect client websites with the PatientNow EMR system, ensuring accurate and timely creation of prospective patient records

• You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web. Zyte is looking for a seasoned, strategic, and hands-on Technical Product Manager / Owner to help shape one of the company’s most important growth areas. This role sits at the center of Zyte’s strategic focus: making web data universally accessible in a world where software is increasingly built, orchestrated, and consumed through AI agents and agentic development workflows. You will lead the product direction for capabilities that ensure Zyte is present wherever developers are building with web data. That includes thinking across the full product surface: AI-native developer experience, integrations with agentic coding and workflow tools, APIs and capabilities for AI-powered applications, and the broader ecosystem where developers expect products to work seamlessly with tools like Cursor, Claude Code, Copilot, Codex, and emerging agentic systems. This is a role for someone who is excited by where AI is going and wants to turn that excitement into real product and business outcomes. You will stay close to an extremely fast-moving market, actively experiment with the latest tools and workflows, and translate what you learn into product strategy, roadmap decisions, and execution. Coding is not required, but genuine curiosity, deep hands-on exploration, and strong product judgment absolutely are. You will own your product area end to end. That means not only product development, but also strategy, roadmap, execution, go-to-market alignment, sales enablement, support enablement, internal communication, and ensuring the product succeeds commercially in the market. You will work cross-functionally with Design, Architecture, R&D, Platform, Product Marketing, DevRel, Sales, Services, Customer Success, and other teams across the business. You will also have exposure to senior leadership and the C-level, both to understand strategic direction and to communicate plans, tradeoffs, and progress back clearly. We are looking for someone who can move quickly, thrive in ambiguity, and push things forward with urgency and ownership. The right person combines strategic thinking with executional intensity, understands what excellent developer experience looks like in AI-native workflows, and knows how to bring teams with them to build something meaningful. What You’ll Do You will own a strategic product area end to end, defining where Zyte should play in the emerging landscape of AI agents and agentic software development, and turning that into clear plans, shipped capabilities, and measurable business impact. In practice, you will: - Define and drive the strategy and roadmap for Zyte’s AI-related product initiatives, with a strong focus on agentic systems and AI-native developer workflows - Lead a cross-functional team to deliver capabilities that make Zyte a natural part of how developers build software using AI agents - Identify opportunities across integrations, APIs, workflows, ecosystem partnerships, and developer experience that expand Zyte’s relevance in the agentic tooling landscape - Work closely with Engineering, Design, Architecture, R&D, and Platform teams to translate ideas into scalable, high-impact product decisions - Develop a deep understanding of developers, AI builders, and technical users, and champion their needs throughout the product lifecycle - Stay on top of fast-moving market changes in AI, agents, developer tooling, and adjacent ecosystems, and adjust strategy quickly when needed - Get hands-on with emerging tools and agentic systems to understand how users actually build, where friction exists, and where Zyte can create value - Own product execution from discovery through launch and post-launch optimization, with a strong bias for speed, iteration, and learning - Partner with Product Marketing, Sales, Services, DevRel and Customer Success to support go-to-market readiness, positioning, enablement, and successful customer adoption - Communicate product strategy, priorities, progress, and tradeoffs clearly across teams and to executive stakeholders - Use qualitative insight, product intuition, market context, and data to make strong prioritization decisions and drive measurable outcomes What Success Looks Like Success in this role will be defined by your ability to create meaningful product and business traction in a rapidly evolving market. Over time, this should translate into outcomes such as: - Increased adoption by developers using agentic tools and AI-native workflows - Stronger usage and revenue from AI-related product capabilities and workflows - Greater Zyte presence and relevance in AI-agent ecosystems - Clear market differentiation through excellent AI-native developer experience - Significant growth in the strategic product area you own You Are - Deeply customer- and developer-focused You care deeply about understanding user problems and building experiences that feel intuitive, useful, and genuinely valuable. You know that great products for technical users are not just feature-rich, but thoughtfully designed around workflow, speed, trust, and usability. 2.Strategic and commercially minded You can connect market trends, user needs, and business goals into a clear product direction. You think beyond shipping features and care about adoption, positioning, revenue impact, and long-term market advantage. 3. Hands-on and execution-oriented You are not afraid to get into the details. You can move from vision to requirements to launch planning to enablement without losing momentum. You push things forward, create clarity, and do what is needed to make the product successful. 4. Passionate about AI and agentic software development You have a strong interest in how AI is changing the way software is built and used. You actively explore tools, patterns, and workflows in this space and have a strong point of view on what excellent developer experience should look like in the age of AI agents. 5. An outstanding cross-functional leader You influence without authority, build trust quickly, and work effectively across technical and non-technical teams. You can engage engineers, designers, commercial teams, and executives with equal credibility. 6. Comfortable with ambiguity and speed You thrive in fast-moving environments, make thoughtful decisions with incomplete information, and iterate quickly as the market evolves.