Rockerbox

👥 101-250💰 Seed about 9 years agoInternet Advertising Advertising Platforms Marketing💼 Private Company

Rockerbox is revolutionizing marketing measurement by providing a unified platform that combines Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and Testing. We empower marketers to make data-driven decisions, helping brands like Unilever, Weight Watchers, and Away optimize their marketing spend and drive significant business growth. Our platform centralizes data from over 200 ad platforms into a reliable foundation, eliminating guesswork and focusing on results. At Rockerbox, our engineering teams are building the future of marketing analytics. We leverage a modern tech stack including Python and SQL for our backend infrastructure, focusing on delivering insightful, customer-facing dashboards and analytics. We are committed to a remote-first culture, embracing collaboration, innovation, and open communication. You'll find a fast-paced, results-driven environment where your contributions have a direct impact. We're a team-oriented, supportive environment where your voice is heard, and your work matters. We actively support our team’s professional growth and offer benefits such as unlimited PTO, parental leave, and a generous training stipend. With a team of 101-250 employees, we are a growing company that’s acquired by DoubleVerify, offering significant opportunities for career development, especially in our sales and data science teams. Join us as we redefine the future of marketing measurement and deliver on our mission.

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🔥 Senior Engineer II - Application Team

Posted 8 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

7+ years of combined experience in software engineering with a focus on back-end work.
Deep expertise in Python and SQL, with Python as a main language.
Demonstrated delivery of work associated with a data platform's semantic layer is preferred.
Full-stack experience delivering analysis or dashboarding products.
Practical knowledge of algorithms, models, and data structures relevant to marketing analytics.
Ability to communicate complex concepts clearly to non-technical stakeholders.

💡 Responsibilities

Collaborate closely with product managers and the App team to define and achieve product feature goals, ensuring seamless integration between backend services and user interfaces.
Design and implement robust solutions to support application functionality, optimizing data flow and system performance.
Take ownership of testing frameworks, emphasizing the reliability and accuracy of data as it moves from backend systems to end-users.
Contribute to the team’s understanding of technical and business aspects by enhancing the semantic layer and improving application data structures.

Backend DevelopmentPythonSQLFull Stack DevelopmentAlgorithmsData engineeringData StructuresRESTful APIsData visualizationData modelingSoftware Engineering

Posted 8 days ago

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🔥 Enterprise Account Executive

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 SaaS Sales

🔧 Requirements

5+ years of experience as an account executive in SaaS sales, with a proven track record of meeting or exceeding quotas.
Significant wins under your belt selling deals upwards of $150,000 ARR to enterprise customers.
Experience in adtech, martech, or selling to marketers - in essence, you understand our customer and their top concern: measuring their marketing.
Experience navigating six to seven figure ACV sales processes with large, complex customer prospects.
Entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment.
Experience working in early-stage startups and are comfortable navigating ambiguity.
Top performer in your current role, with strong communication skills and a consultative sales approach.
Technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation.
Team-first mindset and are eager to help others succeed while simultaneously driving your own results.

💡 Responsibilities

Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals.
Work both inbound leads generated by the SDR team and self-sourced opportunities.
Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved.
Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting.
Achieve and exceed ambitious monthly quotas, demonstrating consistent performance.
Collaborate with our Marketing, Customer Success, and Product teams to share market feedback and ensure we are working with the customers best suited for the product.

SalesforceRESTful APIsAccount ManagementNegotiation skillsClient relationship managementSales experienceMarket ResearchCRMData analyticsSaaS

Posted 8 days ago

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🔥 Account Executive

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 SaaS

🔧 Requirements

5+ years of experience as an account executive in SaaS sales, with a proven track record of meeting or exceeding quotas.
Significant wins under your belt selling deals upwards of $150,000 ARR to enterprise customers.
Experience in adtech, martech, or selling to marketers - in essence, you understand our customer and their top concern: measuring their marketing.
Experience navigating six to seven figure ACV sales processes with large, complex customer prospects.
Entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment.
Experience working in early-stage startups and are comfortable navigating ambiguity.
A top performer in your current role, with strong communication skills and a sales approach underpinned by your natural curiosity.
Eager to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation.
Bring a team-first mindset and are eager to help others succeed while simultaneously driving your own results.

💡 Responsibilities

Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals.
Work both inbound leads generated by the SDR team and self-sourced opportunities.
Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved.
Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting.
Achieve and exceed ambitious monthly quotas, demonstrating consistent performance.
Collaborate with our Marketing, Customer Success, and Product teams to share market feedback and ensure we are working with the customers best suited for the product.

SalesforceCommunication SkillsAnalytical SkillsRESTful APIsNegotiationAccount ManagementSales experienceStakeholder managementLead GenerationCRMCustomer SuccessSaaS

Posted 8 days ago

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🔥 Data Scientist - Testing

Posted 9 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of experience in data science.
Strong knowledge of statistical testing, experimental design, and regression modeling.
Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus.
Familiarity with marketing analytics concepts such as campaign allocation and budget optimization.
Ability to translate complex statistical methodologies into actionable insights.
Strong problem-solving skills and experience working cross-functionally with engineering and product teams.

💡 Responsibilities

Own the end-to-end development of testing methodologies, ensuring statistical robustness.
Adapt, optimize, and iterate on the current testing packages, translating R-based methodologies into Python.
Design and implement statistical frameworks for campaign effectiveness measurement.
Work closely with engineering to integrate testing methodologies into the Rockerbox platform.
Conduct exploratory data analysis to refine test parameters and ensure accuracy.
Stay up to date with the latest causal inference and experimental design techniques.

PythonData AnalysisMachine LearningNumpyData scienceRegression testingPandasA/B testing

Posted 9 days ago

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🔥 Data Science Manager

Posted 9 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
Strong proficiency in Python, SQL, and cloud-based data platforms.
Deep understanding of statistical modeling, causal inference, and regression techniques.
Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs.
Ability to hire, manage, and mentor data scientists while contributing as an IC.
Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders.

💡 Responsibilities

Lead and mentor our lean data science team, fostering growth and technical excellence.
Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability.
Act as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution.
Work cross-functionally with engineering and product teams to integrate data science solutions into Rockerbox’s platform.
Drive best practices in model validation, experiment design, and data pipeline efficiency.
Identify opportunities to leverage AI and machine learning for enhanced insights and automation.
Collaborate with leadership to define team growth, hiring needs, and strategic priorities.

LeadershipPythonSQLCloud ComputingMachine LearningData sciencePandasCommunication SkillsMentoringTeam managementData modeling

Posted 9 days ago

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