Rockerbox

👥 101-250💰 Seed over 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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Jobs at this company:

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🔥 Technical Project Manager

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 80000.0 - 120000.0 USD per year

🔍 Martech, adtech

🔧 Requirements

2–5 years of experience in a project management or customer operations role with external-facing responsibilities.
Strong organizational skills and attention to detail; you're the type who never lets a follow-up slip through the cracks.
Clear, confident communicator—both written and verbal—with a knack for managing expectations and building trust.
Comfortable working with technical products and asking clarifying questions to unblock ambiguity.
Excited to build and improve systems; you don’t just follow the playbook—you help write it.
Collaborative team player who works well across functions.
Basic Excel/Google Sheets skills required.
Martech or adtech experience is a strong plus.

💡 Responsibilities

Build, manage, and continuously improve onboarding project plans and status trackers across MTA and MMM implementations.
Own timeline management and progress tracking across onboarding workstreams.
Coordinate across internal teams—Customer Success, Product, Engineering, Data Science, and Professional Services—to keep milestones on track.
Lead customer-facing onboarding status calls, bringing in the right internal experts to speak to technical details as needed.
Own all customer communications related to project timelines, status updates, and open items.
Align onboarding timelines with customer teams based on their internal resourcing and priorities.
Proactively identify and escalate risks or blockers to ensure momentum is maintained.
Design and refine the systems, workflows, and documentation that support scalable, high-quality onboarding.

Project ManagementProject CoordinationCross-functional Team LeadershipCommunication SkillsProblem SolvingCustomer serviceAttention to detailOrganizational skillsTime ManagementWritten communicationRisk ManagementStakeholder managementCustomer Success

Posted about 1 month ago

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🔥 Professional Services Analyst

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 75000.0 - 90000.0 USD per year

🔍 Marketing

🔧 Requirements

Experience writing SQL in a real-world environment (e.g., school projects, internships, or job settings)
Proficiency in Python and / or R
Familiarity with BI tools (Looker, Power BI, Tableau, etc.)
Strong attention to detail, especially when working with incomplete or inconsistent datasets
A creative approach to problem-solving using data
Strong written and verbal communication skills—you're comfortable presenting your work

💡 Responsibilities

Own the day-to-day work of designing, executing, and analyzing structured tests for Rockerbox clients
Write SQL queries to extract and clean data from our warehouse
Use Python or R to structure experiments and build analysis workflows
Create and maintain Deepnote workbooks (or similar notebooks) to visualize test progress and results
Translate findings into clear, actionable presentations for our customers
Troubleshoot edge cases, data issues, and client-specific nuances
Occasionally use external data (e.g., Google Analytics) to support an analysis or supplement insights

PythonSQLData AnalysisData visualizationA/B testing

Posted about 1 month ago

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🔥 Senior Director, Enterprise Sales

Posted about 1 month ago

📍 United States

🧭 Full-Time

🔍 SaaS marketing measurement

🔧 Requirements

Proven track record of sales leadership within SaaS, specifically in the adtech or martech sectors.
Demonstrated success scaling net new revenue to achieve ARR growth from low 8-figures to mid-high 8-figures.
Exceptional leadership skills with experience in managing and growing a sales team.
Strong strategic thinking, with the ability to develop and execute effective sales strategies.
Excellent communication and interpersonal skills, capable of building and maintaining strong relationships with clients, team members, and other stakeholders.
Data-driven mindset, with an ability to analyze and leverage sales metrics to drive decision-making.

💡 Responsibilities

Develop and execute a scalable sales strategy to drive growth to mid 8 figure ARR, including pricing, packaging, and positioning of products in the market.
Manage the entire sales process, from lead generation to closing deals and post-sale involvement.
Build, mentor, and lead a high-performing sales team.
Regularly conduct sales training and development initiatives to enhance team skills and performance.
Establish and monitor key sales performance metrics (KPIs).
Implement effective reporting and forecasting tools to ensure transparency and accountability.
Work closely with the Marketing, Product, Customer Success, and Engineering teams to align strategies and optimize customer experience.
Engage in product development discussions to provide valuable sales insights.
Utilize and integrate appropriate sales tools (e.g., Salesforce) to streamline sales processes.
Oversee the distribution of leads and accounts to maximize team potential and market coverage.

LeadershipSalesforceAccount ManagementSales experienceTeam managementStrategic thinkingCRMSaaS

Posted about 1 month ago

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🔥 Senior Engineer II - Application Team

Posted 2 months ago

📍 United States

🧭 Full-Time

💸 175000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of experience in software engineering. Demonstrated success in building, owning, and maintaining production systems that prioritize reliability, scalability, and performance.
Strong proficiency in Python, JavaScript with experience building and delivering analysis or dashboarding products.
Exposure to React in a professional or educational capacity.
Experience with orchestration, containerization, and Kubernetes for scalable deployments.
Expertise in SQL for data querying, analysis, and database interactions.
Effective communicator, capable of clearly conveying complex technical concepts to non-technical stakeholders.

💡 Responsibilities

Work closely with product managers to define product requirements, deliver features, and ensure smooth integration of backend services with user interfaces.
Design and develop scalable solutions that enhance application functionality, data efficiency, and overall system performance.
Architect data endpoints using a semantic layer to effectively transform source data into intuitive, optimized structures suitable for UI consumption.

Backend DevelopmentPythonSQLFull Stack DevelopmentAlgorithmsData engineeringData StructuresRESTful APIsData visualizationData modelingSoftware Engineering

Posted 2 months ago

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🔥 Enterprise Account Executive

Posted 2 months 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.
You have significant wins under your belt selling deals upwards of $150,000 ARR to enterprise customers.
You have experience in adtech, martech, or selling to marketers - in essence, you understand our customer and their top concern: measuring their marketing.
You have experience navigating six to seven figure ACV sales processes with large, complex customer prospects.
You’re entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment.
You have experience working in early-stage startups and are comfortable navigating ambiguity.
You’re a top performer in your current role, with strong communication skills and a consultative sales approach.
You have the technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation.
You 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.

SalesforceRESTful APIsAccount ManagementNegotiation skillsClient relationship managementSales experienceMarket ResearchCRMData analyticsSaaS

Posted 2 months ago

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🔥 Account Executive

Posted 2 months ago

📍 United States

🧭 Full-Time

💸 240000.0 - 300000.0 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
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 2 months ago

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🔥 Data Scientist - Testing

Posted 2 months 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 2 months ago

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🔥 Senior Manager, Data Science

Posted 2 months ago

📍 United States

🧭 Full-Time

🔍 Data Science

🔧 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 2 months ago

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