Staff Software Engineer (Data), TVision

🏢 Summary: Senior Product Manager role owning the end-to-end mobile experience for panelists, including devices, firmware, mobile apps, and OTA updates in an AI-driven advertising measurement ecosystem. The position focuses on delivering scalable, reliable measurement solutions by partnering with engineering and cross-functional teams while balancing cost, performance, and data quality. It requires strong technical depth in mobile platforms, connected devices, and data-driven product management. 🗂️ Requirements: 5+ years product management experience in consumer mobile products, Experience with onboarding, engagement, and retention strategies, Familiarity with iOS and Android platforms, Understanding of permissions frameworks and passive data collection, Strong knowledge of mobile applications, firmware, connected devices, backend services, Experience defining and measuring product success metrics, Ability to lead complex cross-functional initiatives, Strong written and verbal communication skills, Experience working with AI tools such as Claude, Gemini, ChatGPT 📃 Skills: iOS, Android, Firmware, IoT, OTA, Mobile, Backend, AI, MachineLearning, ComputerVision, AdTech, MarTech 🏢 Description: WHAT YOU'LL DO Viant Technology (NASDAQ: DSP) is building the future of AI powered, identity driven advertising across CTV and the open internet. TVision plays a critical role in that ecosystem by delivering next generation audience measurement and attention insights that help advertisers better understand engagement, media effectiveness, and consumer viewing behavior. By combining connected devices, mobile technology, and advanced measurement capabilities, TVision powers the data and intelligence that help drive better media planning, optimization, and outcomes across the Viant ecosystem. As a Senior Product Manager, you will own the end-to-end mobile experience for our panelists, as well as partner closely with the hardware and software teams that support our devices. You will work closely with Engineering, Panel Operations, Analytics, and Leadership teams to deliver reliable, scalable measurement solutions while balancing cost, performance, speed to market, and data quality. THE DAY-TO-DAY - Own the panelist mobile experience from installation and onboarding through ongoing passive measurement. - Partner with technical leadership to define and execute the roadmap for devices, firmware, mobile applications, and OTA updates. - Define and monitor key success metrics including installation rates, device reliability, app engagement, data quality, and operational efficiency. - Coordinate hardware and software release planning, ensuring dependencies are identified early and delivery remains aligned. - Manage product backlogs, priorities, and agile processes while helping teams remove obstacles and maintain momentum. - Create clear product requirements that translate panelist needs and business objectives into actionable engineering work. MUST HAVE - 5+ years of product management experience building consumer mobile products with a focus on onboarding, engagement, and retention. - Familiarity with iOS and Android platforms, permissions frameworks, and passive data collection methodologies. - Strong technical understanding of mobile applications, firmware, connected devices, and backend services. - Experience defining success metrics and using data to measure product outcomes. - Ability to navigate ambiguity and lead complex cross functional initiatives. - Excellent written and verbal communication skills with experience presenting to technical and business stakeholders. - Comfortable working with AI tools such as Claude, Gemini, ChatGPT. GREAT TO HAVE - Experience with IoT, connected devices, consumer electronics, or smart home products. - Background in media measurement, audience measurement, research panels, ad tech, or martech. - Exposure to machine learning, computer vision, identity, or measurement technologies. LIFE AT VIANT Investing in our employee's professional growth is important to us, but so is investing in their well-being. Some employee benefits include fully paid health insurance, paid parental leave, and unlimited PTO. Base compensation range: $130,000 - $150,000 In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.

🏢 Summary: Senior Product Manager role owning the end-to-end mobile experience for panelists, including mobile apps, connected devices, and firmware, within an AI-powered advertising and measurement ecosystem. The position focuses on delivering reliable, scalable audience measurement solutions by collaborating with engineering, hardware, analytics, and leadership teams. It emphasizes roadmap ownership, success metrics definition, and cross-functional execution across mobile, IoT, and backend systems. 🗂️ Requirements: 5+ years of product management experience in consumer mobile products, Experience with onboarding, engagement, and retention strategies, Familiarity with iOS and Android platforms, Understanding of permissions frameworks and passive data collection, Strong technical knowledge of mobile applications, firmware, connected devices, and backend services, Experience defining and tracking product success metrics, Ability to lead complex cross-functional initiatives, Strong written and verbal communication skills, Experience using AI tools such as Claude, Gemini, or ChatGPT 📃 Skills: iOS, Android, Firmware, IoT, Backend, AI, Claude, Gemini, ChatGPT, MachineLearning, ComputerVision 🏢 Description: WHAT YOU'LL DO Viant Technology (NASDAQ: DSP) is building the future of AI powered, identity driven advertising across CTV and the open internet. TVision plays a critical role in that ecosystem by delivering next generation audience measurement and attention insights that help advertisers better understand engagement, media effectiveness, and consumer viewing behavior. By combining connected devices, mobile technology, and advanced measurement capabilities, TVision powers the data and intelligence that help drive better media planning, optimization, and outcomes across the Viant ecosystem. As a Senior Product Manager, you will own the end-to-end mobile experience for our panelists, as well as partner closely with the hardware and software teams that support our devices. You will work closely with Engineering, Panel Operations, Analytics, and Leadership teams to deliver reliable, scalable measurement solutions while balancing cost, performance, speed to market, and data quality. THE DAY-TO-DAY - Own the panelist mobile experience from installation and onboarding through ongoing passive measurement. - Partner with technical leadership to define and execute the roadmap for devices, firmware, mobile applications, and OTA updates. - Define and monitor key success metrics including installation rates, device reliability, app engagement, data quality, and operational efficiency. - Coordinate hardware and software release planning, ensuring dependencies are identified early and delivery remains aligned. - Manage product backlogs, priorities, and agile processes while helping teams remove obstacles and maintain momentum. - Create clear product requirements that translate panelist needs and business objectives into actionable engineering work. MUST HAVE - 5+ years of product management experience building consumer mobile products with a focus on onboarding, engagement, and retention. - Familiarity with iOS and Android platforms, permissions frameworks, and passive data collection methodologies. - Strong technical understanding of mobile applications, firmware, connected devices, and backend services. - Experience defining success metrics and using data to measure product outcomes. - Ability to navigate ambiguity and lead complex cross functional initiatives. - Excellent written and verbal communication skills with experience presenting to technical and business stakeholders. - Comfortable working with AI tools such as Claude, Gemini, ChatGPT GREAT TO HAVE - Experience with IoT, connected devices, consumer electronics, or smart home products. - Background in media measurement, audience measurement, research panels, ad tech, or martech. - Exposure to machine learning, computer vision, identity, or measurement technologies. LIFE AT VIANT Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. Base compensation range: $130,000 - $150,000 In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Responsible for operating, automating, and continuously improving a cloud-native AI platform infrastructure to ensure reliability, scalability, and security of AI-powered applications. The role focuses on Kubernetes operations, migration from Nomad, database and core service management, and building strong observability standards. You enable development teams to deliver production-grade AI services with high operational excellence. 🗂️ Requirements: Strong hands-on experience with Kubernetes in production, Experience operating databases and cloud-native services, Experience with infrastructure automation, Experience with monitoring and observability tools, Ability to manage and migrate workloads from Nomad to Kubernetes, Knowledge of reliability, scalability, and security best practices, Fluent English 📃 Skills: Kubernetes, Nomad, PostgreSQL, ClickHouse, Redis, Qdrant, Dify, Langfuse, Kubeblocks, Cnpg, Automation, Monitoring, Observability, Cloud, AI 🏢 Description: Your mission At VIER, we build and operate AI-powered applications that enable intelligent customer service experiences at scale. As part of our AI Platform Services team, you will take ownership of the reliable operation, scalability, and continuous evolution of our AI infrastructure landscape. Working with modern cloud-native technologies and AI-driven automation, you will help ensure that our applications, services, and Kubernetes environments meet the highest standards for reliability, security, and operational excellence — empowering development teams to deliver production-grade AI solutions with speed and confidence. In this position: You own the reliable day-to-day operation of platform infrastructure services within the AI Business Unit. You drive automation across operational workflows, using modern tooling and AI to improve efficiency, scalability, maintainability, and security. You support and contribute to the migration of internal applications from Nomad to Kubernetes. You collaborate with Infrastructure teams to continuously improve Kubernetes environments. You manage and support core technologies such as Qdrant, PostgreSQL, ClickHouse, Redis, Dify, Langfuse, Kubeblocks, and the Cnpg.io Postgres Operator. You build and improve monitoring, alerting, and operational observability standards. You enable development teams to design, ship, and operate production-grade Kubernetes-ready services. You improve system reliability, scalability, security, and operational excellence across the AI landscape. Your skills You are a pragmatic problem-solver with a strong focus on reliability, quality, security, ownership, and continuous improvement. You have strong hands-on experience with Kubernetes in production environments. You have experience operating databases and cloud-native services. You are familiar with monitoring and observability tools. You bring a strong automation mindset and follow a zero-downtime approach. You are curious and motivated to deeply understand the operational behavior of modern AI technologies. You speak fluent English. Why us? We are a company with flat hierarchies and plenty of freedom to make your own decisions and take ownership of your responsibilities. We offer an engaging and varied role where you can make a difference. We support professional development and training tailored to your needs. Flexible working hours and a trust-based work schedule make it easy to organize your daily work routine. A hybrid work model with three days of remote work. Appreciative interactions and respectful communication in line with our Guiding Principles. Regular and constructive feedback sessions that support your targeted development. We also offer support through our service provider INSITE during difficult life situations (professional or personal). Promotion of a diverse, inclusive corporate culture where all employees have equal opportunities. In addition, we offer a range of other benefits that enrich your daily work life (e.g., mobility allowance, sports programs, events, etc.). You can find more details on our careers page. *Gender-neutral: At our company, it doesn’t matter whether you’re female, male, or non-binary… where you’re from, what your skin color is, or what you believe in. We focus on mutual respect and appreciation, as well as fun and motivation at work. Let your personality shine—with us, you’re at the center of everything we do.

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus