Vibe.co

Develop and execute high-frequency outbound sequences across multiple channels. Utilize AI tools for prospecting and personalization. Identify and prioritize target accounts, ensuring accurate qualification and seamless handoff to account executives.

• Manage the planning, execution, and optimization of CTV campaigns for our enterprise clients. • Analyze campaign performance data to identify trends, optimize campaigns, and recommend strategies to maximize ROI for your clients. • Serve as a strategic advisor to clients, explaining campaign performance, suggesting next steps and identifying opportunities to scale budgets or upsell services. • Conduct regular client calls to review performance metrics, discuss optimization strategies, and ensure client satisfaction. • Collaborate with internal teams to troubleshoot issues related to the platform or campaign performance, ensuring timely and effective problem resolution. • Be a key product expert and trusted resource for clients and internal teams, taking the initiative to investigate and solve complex issues related to campaign performance and platform bugs.

• Own the pacer and bidder • Go deep on the bidder and pacer stack map it end-to-end and identify at least one fragility worth owning on day one • Propose improvements to the bidder or pacer autonomously from problem definition through to design proposal • Ship measurable improvements to CPx, pacing accuracy, or win rate within your first three months • Raise the team's ceiling • Distribute critical system knowledge: make the team faster and less dependent on any single person • Challenge existing designs, including inherited ones, and push for cleaner solutions • Deepen expertise in the theoretical foundations (probabilistic modelling, PID control theory) powering our approaches • Move at Vibe pace • Use AI tooling as a genuine force multiplier (not a crutch, not a checkbox) • Iterate in production, not in your head, we - ship, measure and adjust

Lead day-to-day IT support while ensuring reliable and secure operations. Manage internal IT systems and hardware lifecycle, and support security and compliance initiatives to enhance the employee experience.

• Build a clear understanding of Vibe’s key data flows, sources of truth, and ownership. • Help define schemas, data contracts, documentation, and standards for how data should be used across the company. • Improve data discoverability so teams can confidently understand what data exists, where it lives, and how to use it. • Establish practical standards around data quality, lineage, observability, and ownership. • Define, maintain and enforce data lifecycle policies. • Help teams track data cost and usage. • Define and implement data compliance practices aligned with Vibe’s business, partners, and regulatory needs. • Partner with Legal, Product, Security, and Engineering to assess the impact of new data sources, partnerships, and use cases. • Help clarify what data can be used, how it can be used, where it should live, and how long it should be retained. • Support Vibe’s ability to work confidently with premium publishers, enterprise advertisers, and strategic partners. • Build guardrails, not gatekeepers, enabling engineers and teams to move fast while making safe, compliant decisions. • Embed governance and compliance into existing engineering workflows, tools, and architectural decisions. • Help Vibe transition toward a more security, and compliance-aware, data culture. • Identify the biggest risks, gaps, and opportunities, then define a pragmatic roadmap to address them.

• Own the Nebula product strategy • Define the long-term vision for Vibe's identity graph — deterministic anchors, probabilistic signals, data partnerships, coverage and accuracy KPIs • Make principled build vs. buy vs. partner decisions across identity resolution, clean rooms, and data collaboration frameworks (UID2, ConnectID, LiveRamp, and beyond) • Set the governance model for how identity data flows across the platform — privacy-compliant (CCPA, SOC2) without sacrificing speed • Drive audience and activation products • Own the product vision for how Vibe's data assets are activated for targeting and measurement • Define first-party data onboarding and matching workflows — so a brand can bring their CRM into Vibe, match it against our household graph, and reach exactly the right people on TV • Build the measurement products that close the loop: Verified Visits, Verified Purchases, and incrementality frameworks that prove causal lift • Run the internal data platform as a product • Partner with Data Platform Engineering to define requirements for ingestion pipelines, feature stores, and BI infrastructure • Give internal consumers — engineering, ML, analytics — clear SLAs, documented APIs, and a roadmap driven by their actual needs • Push toward self-serve: business units should be able to access and act on data without a ticket queue • Drive commercial impact • Translate Nebula's capabilities into narratives that resonate with advertisers and publishers — work directly with Sales and Client Success to make it land • Lead high-stakes partner conversations with data providers, measurement companies, and clean room operators; define the commercial terms • Contribute to Vibe's external positioning on data and identity — thought leadership, industry events, partner communications

• Define and roll out Vibe's AI-assisted development strategy across the engineering org • Own adoption of coding agents and AI tooling — Claude Code, Cursor, MCP — and drive measurable gains in engineering velocity • Identify where AI can remove friction and run experiments to prove it • Live at the bleeding edge of the AI tooling landscape, explore emerging best practices in this fast evolving space, and evangelize them internally • Maintain and evolve Vibe's core developer tooling across GitHub, CI/CD, and local dev environments • Reduce time-to-first-commit for new engineers and time-to-ship for the whole team • Keep the stack lean — cut tools that don't pull their weight • Own the AI-centric golden path for Vibe’s software development lifecycle • Own security tooling and best practices across the engineering org • Embed security into the development workflow without slowing engineers down • Spot risks early and drive remediation before they become incidents • Define the metrics that matter for developer experience — and track them • Report on velocity, tooling adoption, and friction points to engineering leadership • Treat the engineering team as your customer; gather feedback and act on it

• Envision the optimal architecture and operating model for Vibe’s data platform • Actively participate in the design and evolution of the company’s data stack • Make informed trade-offs between scalability, performance, reliability and cost • Design, build and operate batch and streaming data pipelines at scale • Handle large volumes of data generated by real-time systems • Ensure data freshness, correctness and availability across use cases • Make data easily accessible wherever it is needed across the company • Work with other teams to understand data usage patterns and define the right solutions • Choose appropriate technologies and data models to support diverse analytical and product needs • Ensure high standards of data quality, monitoring and observability • Implement controls to manage infrastructure and processing costs • Continuously improve reliability and operational excellence of the data platform