Madhive

Director

• Lead the development and implementation of effective pricing and packaging strategies for Madhive’s products and services, ensuring alignment with business objectives and responsiveness to market demand. Collaborate closely with Sales, Operations, and Product Management to optimize monetization given product portfolio and roadmap.
• Conduct comprehensive data analyses to support pricing and packaging decisions, continually optimizing monetization models to enhance revenue and margin while maintaining simplicity.
• Alongside Madhive’s Insights team, perform competitive analysis and conduct both quantitative and qualitative market research to identify pricing trends, customer preferences, and growth opportunities, enabling adjustments and optimizations to pricing models.
• Identify and execute on ways to simplify our pricing structure
• Define and monitor KPIs and analytics related to pricing and monetization, delivering regular reporting and insights to senior management.
• Maintain and develop the annual price incentive program and employ pricing calculators to ensure effective execution and consistency in pricing strategies.
• In coordination with Madhive’s Insights and Analytics team, develop and implement interactive dashboards in Looker and Excel to inform pricing decisions and track performance metrics effectively.
• Create compelling presentations for senior leadership, ensuring accuracy in data representation and providing actionable, insights-driven recommendations.
• Identify and implement process improvements within pricing workflows to enhance overall pricing governance and operations efficiency and effectiveness.
• Work with cross-functional teams to facilitate the successful introduction of new products, from ideation to launch, while also experimenting with and simplifying existing constructs. Collaborate with Sales Enablement and pricing education.
• Collaborate closely with Product Management, Sales, Finance and Customer Support teams to support pricing negotiations and client contracts, ensuring alignment with strategic goals.

Director of Pricing and Monetization

• Own the Deal Desk intake, review, and approval workflow for non-standard, strategic, and enterprise-level deals across all media and ad tech product lines.
• Evaluate deal economics including CPM/CPC/CPA pricing, volume discounts, minimum spend commitments, make-good provisions, and margin thresholds.
• Structure commercial terms that balance seller incentives with company profitability, legal enforceability, and revenue recognition standards (ASC 606).
• Serve as the final escalation point for pricing exceptions, custom T&Cs, and non-standard contractual provisions.
• Partner with Sales to develop deal strategies for competitive RFPs, agency holding company negotiations, and multi-year strategic partnerships.
• Manage the full contract lifecycle—from initial redline through execution—ensuring all executed agreements are accurately captured and maintained in the contract management system.
• Maintain a master repository of executed contracts, amendments, SOWs, and order forms; enforce document retention and version control standards.
• Draft, review, and negotiate commercial provisions in MSAs, IOs, data licensing agreements, and platform access agreements in collaboration with Legal.
• Build and maintain a library of pre-approved contract templates, fallback positions, and playbooks to accelerate deal cycles and reduce Legal review time.
• Monitor contractual obligations including minimum spend commitments, auto-renewal windows, termination for convenience clauses, and SLA obligations, flagging risks proactively.
• Coordinate with Finance and Revenue Recognition teams to ensure deal structures are compliant with GAAP and internal revenue recognition policies prior to execution.
• Serve as a power user and functional owner of Salesforce CRM, including Opportunities, Quotes (CPQ), Contracts, and custom Deal Desk objects and workflows.
• Design and enforce Salesforce deal approval workflows, price override rules, and opportunity stage gates in partnership with Sales Ops and the Salesforce admin team.
• Ensure data integrity across deal records, including accurate ACV/TCV booking, product line attribution, discount tracking, and contract term dates.
• Leverage Salesforce reporting and dashboards to provide real-time visibility into pipeline health, deal approval cycle times, win/loss trends, and discounting patterns.
• Evaluate and implement complementary tools (e.g., CPQ platforms, CLM software such as Ironclad) that integrate with Salesforce to streamline deal and contract workflows.
• Act as the central coordination point between Sales, Sales Operations, Finance, Legal, and Product to resolve deal blockers and align on go-to-market commercial policies.
• Develop and enforce Deal Desk policies, discount authorization matrices, and approval SLAs; communicate changes to commercial terms with appropriate training for the sales org.
• Alongside Finance and Sales leadership, lead post-mortem analysis on lost deals, margin erosion, and prolonged approval cycles to identify systemic improvements to the deal process.
• Build, mentor, and develop a team of Deal Desk Analysts and Managers, establishing a high-performance, process-oriented culture.
• Present deal trends, approval metrics, and risk summaries to senior leadership on a regular cadence.

Director of Deal Desk

Engineering Manager

• Lead and manage a team of cross-functional engineers responsible for the design, development, and maintenance of streaming data pipelines, data partner integrations, data warehousing, forecasting and ML-driven audience construction in a collaborative & agile development environment.
• Apply deep expertise in Data and System Architecture to streamline data processes to act as a technical north star for the team.
• Guide the team in utilizing advanced statistical and machine learning models to build new offerings for our customers.
• Identify and manage cross-team dependencies; facilitate communication between multiple initiatives.
• Effectively navigate the organization and partner with various functions, including (but not limited to) Product, Sales, Finance, and Customer Success, to gather requirements and ensure successful product development and implementation.
• Hire and nurture engineers through mentorship and career advocacy. Provide goals, career paths, promotion guidance, and motivation to your direct reports.
• Contribute to the adoption of robust software architecture, development of best practices, and new technologies.
• Foster adoption of ML coding assistant technology, articulating best practices and guardrails for effective and safe delivery of roadmap deliverables.
• Be an advocate for the vision of our product team.
• Facilitate daily standups, resolve blocked tasks, assist with planning and estimation, and host retrospectives.
• Ensure a culture of operational excellence, managing and addressing on-call duties and responding to production incidents as they occur.
• Act as a point of escalation by actively measuring and reducing the operational burden of your teams, all while taking a data-driven approach to measuring success.

Engineering Manager – Targeting

Data Analyst

• Partner with Sales and Client Success to act as the dedicated data consultant for specific enterprise accounts, attending client meetings and presenting insights to external executives.
• Create bespoke, client-ready presentations that go beyond 'what happened' to explain 'why it matters' and 'what to do next.'
• Proactively monitor client campaign performance to identify trends and opportunities for optimization, then pitch these recommendations directly to the client.
• Build tailored Looker dashboards or reports that address specific client KPIs, ensuring they have transparency into their media spend and performance.
• Provide clients with vertical-specific insights (e.g., Auto vs. Retail trends) to help them shape their media strategy using Madhive data.

Data Analyst, Client Insights

• Design, build, and maintain high-impact Looker dashboards that track company KPIs, revenue pacing, and sales pipeline health
• Serve as the first line of defense for internal data requests, investigating revenue trends, discrepancies, and performance metrics to support Finance and RevOps.
• Collaborate with Revenue Operations to ensure Salesforce and platform data is accurate, clean, and structured properly for downstream analysis.
• Proactively identify bottlenecks in the sales cycle or client lifecycle through data analysis and recommend process improvements.
• Partner with Product and Engineering to understand new data points and ensure they are accessible for business reporting.

Data Analyst, Revenue Analytics

Data Scientist

• Architect and implement machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for programmatic campaigns with focus on CTV
• Lead the design of our model orchestration layer to solve complex multi-objective optimization challenges. Working at the intersection of Product and Engineering, you will ensure our model suite operates in sync to maximize performance across conflicting business KPIs
• Drive data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes.
• Collaborate closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance.
• Conduct deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations.
• Serve as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly.
• Mentor junior data scientists and contribute to the team's culture of rigorous experimentation, statistical excellence, and innovative problem-solving.

Senior Data Scientist

Program Manager

• Partner closely with the CEO to translate ideas into structured narratives.
• Build and own executive-level decks for board meetings.
• Lead cross-functional strategic initiatives.
• Drive end-to-end project management for CEO-sponsored priorities.
• Establish clear operating cadences and reporting structures.
• Conduct research and synthesize complex information into actionable insights.
• Analyze business performance data to inform decision-making.
• Prepare briefing materials ahead of key meetings.
• Identify operational gaps and implement solutions.
• Act as connective tissue across departments to maintain alignment on CEO priorities.

Executive Program Manager

Sales

• Serve as the internal DOOH expert for Sales, Enterprise, and Customer Success teams
• Develop positioning, playbooks, pitch materials, and training to enable seller confidence and consistency
• Support strategic sales cycles as needed, particularly for complex or enterprise opportunities
• Identify common objections and refine messaging to improve adoption and close rates
• Partner with supply and operations teams to support DOOH inventory strategy and packaging
• Identify high-value vertical and venue groupings to support scalable offerings
• Surface market feedback and seller insights to inform supply prioritization
• Coordinate with Product, Operations, Ad Ops, and Finance to ensure DOOH readiness and process clarity
• Help define execution guardrails, intake workflows, and internal documentation
• Track adoption trends and flag operational friction points early
• Stay current on DOOH ecosystem trends, partner models, and competitive positioning
• Translate industry developments into actionable guidance for internal teams

Sales Enablement Lead, Digital Out of Home

Full-stack Engineer

• Lead the design and development of our real-time bidding system.
• Spearhead the creation of robust data pipelines.
• Architect and develop both external and internal APIs.
• Collaborate with cross-functional teams to enhance the tech stack primarily within Google Cloud Platform (GCP).
• Contribute to the design and implementation of ad-tech-scale data and ML solutions.
• Partner with executive leadership to establish strategic visions.

Principal Engineer

Product Designer

• Take ownership of the product design process from initial discovery through final implementation for Activation initiatives.
• Design intuitive interfaces for our best-in-class execution engine, managing high-velocity transactions and massive scalability.
• Translate technical capabilities, like prioritized inventory waterfalls and multiple layers of volume capping, into user-friendly supply control tools.
• Imagine future interaction patterns where users supervise and guide AI-driven optimizations rather than manually executing tasks.
• Partner with Product and Engineering to design "omnichannel" surfaces that integrate specialized media formats like Digital Out-of-Home (DOOH) into unified workflows.
• Maintain and extend our design system to support emerging automation and activation workflows.
• Deliver high-quality user flows, wireframes, prototypes and production-ready designs.
• Conduct usability tests and interviews to validate that designs meet the needs of media sellers and buyers.