tvScientific

Full-stack Engineer

• Design and implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams

Software Engineer II, Big Data

SDET

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved.
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/edge-case testing
• Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
• Analyze test failures, investigate root causes, and drive issues to resolution
• Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira.

Senior SDET

Product Manager

• Lead product vision, strategy and execution for tvSci's CTV creative tooling, from asset ingestion through generation, variant production and creative-aware optimization
• Develop new tools that turn existing brand assets into TV-ready commercials, and generate creative variants and new concepts from those assets
• Expand tvSci's prediction and optimization models to incorporate creative as a core performance lever
• Partner with commercial teams and operations to make creative optimization a primary driver of customer performance, and ensure it's well understood and adopted by advertisers and internal teams
• Use AI to accelerate prototyping, explore creative concepts and synthesize customer feedback, while applying judgment and verification to ensure correctness and quality
• Represent tvSci externally as a thought leader at the frontier of AI-driven creative technology

Group Product Manager II, Creative Tech

Account Manager

• Lead a portfolio of mobile, cross-platform, esports, and real-money gaming clients.
• Launch and optimize programmatic CTV campaigns to hit strict CPA, CPI, and ROAS targets.
• Develop account plans, identify whitespace opportunities, and secure incremental budgets through data-driven QBRs.
• Act as the primary strategic consultant for game publishers, educating them on the power of CTV for player acquisition and retention.
• Dive deep into campaign performance and conversion funnels to extract actionable insights for your clients.
• Work closely with sales, product, and AdOps teams to ensure seamless campaign launches and custom integrations.
• Mentor junior account managers and help build the playbook for our growing gaming business line.
• Use AI to accelerate optimization: Use AI tools to quickly spot funnel drop-offs, pacing issues, and creative fatigue, then translate those insights into clear actions to improve CPA, CPI, and ROAS on CTV campaigns.

Senior Account Manager, Gaming

• Lead and manage a portfolio of key client accounts, spanning various industries including retail, leisure, and tech-adjacent sectors.
• Launch, serve, and optimize campaigns for clients, ensuring maximum ROI and campaign success.
• Proactively pick up the phone and engage in meaningful conversations with customers and agencies about digital media, including CTV advertising.
• Develop and execute strategic account plans to drive revenue growth, retention, and expansion opportunities within existing client accounts.
• Identify and capitalize on upsell and cross-sell opportunities, leveraging your digital media and advertising experience to maximize revenue potential.
• Collaborate closely with internal teams, including sales, product, and support, to ensure seamless execution of client campaigns and initiatives.
• Monitor and analyze campaign performance metrics, providing insights and recommendations to optimize client campaigns and drive superior results.
• Act as a trusted advisor to clients, providing expert guidance, industry insights, and best practices to help them achieve their advertising objectives.
• Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
• Provide mentorship and support to junior account management team members.
• Use AI to speed up optimizations: Leverage AI tools to quickly spot performance drivers and issues (e.g., ROAS trends, creative fatigue, pacing) and turn them into clear optimization actions for clients.

Senior Account Manager – Affiliate/CPA

Backend Engineer

• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
• Improve system observability, reliability, and performance as contract volume and complexity scale
• Own backend services and data models related to contracts and billing
• Lead technical design discussions and make pragmatic architectural decisions
• Write clean, well-tested, and maintainable code with a strong focus on correctness
• Drive improvements in data consistency, validation, and error handling across contract workflows
• Review code and mentor other engineers, setting a high bar for backend quality
• Collaborate cross-functionally to support new deal structures and evolving business models

Software Engineer II, Backend

• Define and execute the product strategy for a significant portion of our Activation suite, establishing the vision both internally and externally.
• Collaborate with various engineering teams, specifically those focused on campaign management and creative development, to architect and deliver a market-leading suite of capabilities.
• Develop services designed for operational efficiency and scale by considering the entire advertiser and campaign lifecycle.
• Partner with Legal, Security, and Data teams to ensure adherence to CCPA, GDPR, and global privacy regulations.
• Document detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on high-impact features that align with the tvScientific strategy.
• Establish and monitor key performance indicators such as feature adoption and revenue influenced to inform feature development, refinement, and new initiatives.

Staff Product Manager, Activation

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Senior Software Engineer

Senior Backend Engineer

Platform Engineer

• Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Make every deployment smooth as our infrastructure evolves.

ML Platform Engineer

Data Engineer

• Design and maintain a scalable identity resolution platform
• Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
• Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
• Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
• Build and operate batch and streaming pipelines using modern data stack tools
• Create clear documentation, standards, and runbooks for identity and governance systems
• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
• Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
• Establish monitoring and alerting for data quality, freshness, and integrity

Staff Data Engineer

Sales Engineer

• Serve as the primary technical expert during the sales cycle, partnering closely with Sales to design, explain, and validate client integrations
• Lead discovery conversations to understand client integration preferences, including client-side pixels, server-to-server postbacks, and custom reporting needs
• Recommend measurement and attribution solutions tailored to each client’s business goals and technical environment
• Troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy
• Translate complex technical concepts into clear, client-friendly explanations to build trust and drive deal confidence
• Work cross-functionally with Product, Engineering, and Customer Success to relay client needs and integration feedback
• Stay current on ad tech, programmatic advertising, privacy changes, and measurement best practices to inform solutions and recommendations
• Document best practices, integration patterns, and technical solutions for internal teams and clients