Role Description We're looking for a DV360 expert who can take Google's full platform menu, package it in a way that resonates with our market, and operationalize it across our business. This isn't a campaign manager or programmatic director. It's someone who understands the full DV360 ecosystem, knows how to build the go-to-market motion around it, and has the technical depth to set standards internally and push back externally when needed. What You’ll Do - Build the decision framework for when and how to use DV360 across open auction, private marketplace, PG deals, and restricted categories - Define how DV360 products are packaged and pitched, including bidding structure guidance (CPM vs. CPV, non-skippable, etc.) - Own the category routing logic: if this vertical, then this platform, this deal type, this setup, clear and repeatable - Establish ad tag implementation standards and reporting infrastructure - Create the playbooks, training, and pitch materials that get the sales and account teams confident and consistent - Partner with client-facing teams on strategic opportunities, RFPs, and package refinement - Stay current on DV360 updates and translate them into practical internal guidance, especially around restricted categories and new inventory types Success Looks Like - Team knows exactly when to recommend DV360 vs. Amazon, and why - Restricted category playbook delivered and in use - Clear, differentiated DV360 service packages launched - Ad tag standards and reporting templates in place - Sales closing DV360 opportunities with confidence, especially in categories that don't fit Amazon Qualifications - 5+ years of hands-on DV360 experience across the full platform, open auction, PMP, PG, restricted categories, and beyond - Deep knowledge of bidding structures and how to apply them correctly by campaign type - Experience building go-to-market strategy and service packaging, not just execution - Proven ability to push back on clients and internal teams with a point of view grounded in platform knowledge - Track record of leading experimentation, knowing when to pivot, when to hold, and how to make the call - Experience with ad tag implementation and cross-platform reporting - Strong communicator who can translate technical depth for sales, clients, and leadership - Google Marketing Platform certifications preferred (DV360, Campaign Manager 360) Benefits - Fully remote - always! - Comprehensive healthcare including medical, vision & dental benefits covered at 100% for employees and 50% for dependents - Health and Dependent Daycare FSA options - Free One Medical and Virtual Health Memberships - Generous monthly remote working stipends - Flexible PTO, take what you need, when you need - Supportive Parental Leave Policy - 401(k) options - Company paid and supplemental life insurance - Voluntary short-term and long-term disability - Monthly free day to use as you’d like - Coffee or Tea Subscription

• Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. • Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights. • Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. • Ensure data quality, integrity, and security throughout all stages of the data lifecycle. • Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. • Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. • Provide technical guidance and expertise to junior data engineers and developers. • Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering. • Contribute to the continuous improvement of data engineering processes, tools, and best practices.

Role Description The RIS Data Migration Engineer is responsible for overseeing and executing the migration of data between Radiology Information Systems (RIS), ensuring data integrity, accuracy, and compliance with regulatory standards. The Data Migration Engineer will work closely with IT, clinical, and administrative teams to ensure seamless transitions of data from legacy systems to modern platforms, while optimizing workflows and maintaining the highest standards of patient data privacy and security. - Develop and execute comprehensive strategies for RIS data migration. - Collaborate with stakeholders to gather and analyze migration requirements. - Extract clinical, operational, and administrative data from legacy RIS systems. - Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments. - Assist in assembling and loading RIS system’s master lists including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master look-up tables. - Use ETL tools to clean, transform, and prepare data for migration. - Provide post-migration support for product go-live implementations. - Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors. - Document the entire migration process, including methodologies, tools, and reports. - Train staff on how to manage, access, and use data in the new RIS system. - Perform comprehensive validation to ensure data completeness and resolve inconsistencies. - Conduct post-migration verification and prepare detailed reports for stakeholders. - Identify and resolve migration-related issues, such as data inconsistencies or system compatibility challenges. Qualifications - Bachelor’s degree in information technology, computer science, healthcare informatics, or related field; or equivalent professional experience. - 3+ years proven experience in data migration within a healthcare environment. - Hands-on experience with data manipulation and/or migration within RIS, PACS, HIS, and EMR systems. - Proficiency in ETL processes, database structures, SQL, and healthcare data standards. - Proficient SQL skills and experience with database management. - Proficiency with Transact SQL, triggers, functions, stored procedures, database schema design, SQL agent jobs, and ad hoc querying. - Experience working with various formats of data such as CSV and other delimited text files, Excel data, SQL databases, Word docs, BMP/JPG files, PDF files. - Excellent technical communication and interpersonal skills, with the ability to effectively communicate with stakeholders at all levels of the organization. - Strong problem-solving and troubleshooting abilities. - Ability to adapt to constantly changing projects. - Attention to detail with a commitment to data accuracy and security. - Proficiency in C# for Windows desktop programming or Python, or similar programming languages to enhance in-house data migration tools. - Familiarity with Linux OS and scripting (Python, Perl, VIM, BASH) to assist with ancillary data migrations taking place in Linux environments. - Mirth skills, particularly with HL7. Requirements - Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors. - Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance. - Follows all local, regional and country laws concerning employment. - Follows all DeepHealth policies and procedures. - Follows data privacy, compliance, safety and confidentiality standards at all times. - Practices universal safety precautions. - Promotes good public relations on the phone and in person. - Adapts and is willing to learn new tasks, methods, and systems. - Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines. - Completes job responsibilities in a quality and timely manner. Travel - This position requires domestic/international travel up to 10%. Working Environment - Remote. Physical Demands - This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. - Must be able to lift up to 10 pounds occasionally. Salary - Salary range $100,000-$120,000.

Role Description As a Freelance Polish Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Polish to power our machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with our NLP experts, ensuring the accuracy and relevance of our data for the Polish market, and contributing directly to the quality and reliability of our AI-driven products in the medical domain. This role is ideal for professionals with a strong linguistic background in Polish who are passionate about working in the healthcare and technology space. The ideal candidate has experience in data annotation, transcription, and text analysis, combined with a basic understanding of medical terminology and concepts. Key Responsibilities: - Prepare and maintain Polish medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency. - Follow and provide feedback on annotation and labeling conventions, as well as perform audio transcriptions in Polish (aligning audio with text and correcting text based on audio). - Implement text patterns to detect and extract named entities in Polish, such as names, addresses, organization names, ID numbers, and medical terms. - Contribute to dictionaries and taxonomies in Polish for use in NLP systems. - Evaluate the correctness and accuracy of Polish words, sentences, and text structures, ensuring linguistic quality and consistency. - Deliver high-quality work within established deadlines and communicate proactively about project progress and challenges. Qualifications - Languages: Native Polish speaker and Full Professional Level of English - Linguistic Expertise: A degree or strong background in Polish linguistics, computational linguistics, or a related field. - Medical Knowledge: Familiarity with Polish medical terminology or prior experience in the healthcare domain. - Data Annotation: Hands-on experience with data annotation, transcription, and labeling tools. - Text Analysis: Proficiency in working with text patterns and dictionaries for NLP purposes. - Attention to Detail: Exceptional ability to assess and improve data quality. - Self-Management: Strong ability to work independently, manage time effectively, and consistently meet deadlines. Requirements - Previous experience in AI, machine learning, or data preparation projects. - Knowledge of multiple languages or dialects beyond Polish and English. - Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR). - Experience working as a freelancer on similar annotation or linguistic projects. Benefits - Remuneration: 63,57 PLN/h