Demandbase

👥 501-1000💰 $175,000,000 Debt Financing over 2 years agoSales Automation Advertising Big Data SaaS Analytics B2B Marketing Marketing Automation Software💼 Private Company

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Demandbase is a company that specializes in data-driven solutions for businesses, focusing on enhancing customer engagement and optimizing marketing strategies through advanced analytics and data science.

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Jobs at this company:

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🔥 Senior Accounts Receivable Manager

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 111000.0 - 167000.0 USD per year

🔍 SaaS

🔧 Requirements

Bachelor’s degree in Accounting, Finance, or a related field.
Minimum of 7 years of AR management experience, ideally within a SaaS or subscription-based business.
Strong understanding of SaaS billing models (MRR/ARR, usage-based billing, renewals).
Hands-on experience supporting monthly financial close cycles and reconciling complex AR ledgers.
Experience managing billing and invoicing for new products and SKU launches.
Demonstrated success driving system improvements and workflow automation in AR processes.
Proficient with accounting and CRM systems (e.g., NetSuite, Salesforce, Zuora, Stripe).
Excellent organizational, analytical, and communication skills.
Ability to thrive in a remote, collaborative, and dynamic environment.

💡 Responsibilities

Manage and oversee all AR processes, including invoicing, collections, cash application, and customer account reconciliations.
Ensure accurate and timely billing aligned with SaaS subscription terms (monthly, quarterly, annually).
Lead and execute the AR portion of the monthly close process, including reconciliations, journal entries, aging analyses, and reporting deliverables.
Maintain and monitor the AR aging report; prioritize collections activities to drive reduction in Days Sales Outstanding (DSO).
Manage customer invoicing and collection efforts for new products, SKUs, and pricing models, ensuring billing set-ups are accurate and scalable.
Partner cross-functionally with Sales Operations, Product, and Finance teams to operationalize billing for new product launches and product catalog changes.
Collaborate with the Finance Systems and IT teams to identify, implement, and optimize system enhancements that streamline AR processes and improve automation.
Establish and enforce effective AR policies, procedures, and internal controls to optimize cash flow and compliance.
Drive efficiencies by leveraging, building, and training offshore team members to support scalable AR operations.
Collaborate with Sales, Customer Success, and Support teams to resolve billing disputes promptly and professionally.
Address escalated accounts and support legal collections processes if necessary.
Prepare and deliver weekly, monthly, and quarterly AR and collections reporting, including KPIs like DSO, delinquency rates, and cash forecasting.
Participate in and lead continuous improvement initiatives in AR processes and operations.

LeadershipSQLData AnalysisSalesforceFinancial ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelCustomer serviceAccountingOrganizational skillsReportingTeam managementProcess improvementCRMFinancial analysisCustomer SuccessSaaSBudget management

Posted 3 days ago

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🔥 Software Engineer II (Front-End)

Posted 4 days ago

💸 131000.0 - 197000.0 USD per year

🔍 Software Development

🔧 Requirements

3+ years of experience building front-end applications using modern JavaScript frameworks—Vue, Svelte, ideally React.
Hands-on experience developing or contributing to production-scale applications.
Strong attention to visual and technical detail—your work should be polished and performant.
Comfortable working closely with UX and Product teams to shape feature development.
Experience collaborating with backend teams on API design and integration.
Strong desire and willingness to learn and grow as a developer.

💡 Responsibilities

Build and maintain scalable, well-tested UI components using React and TypeScript.
Collaborate with UX and Product to translate user needs into responsive, intuitive front-end experiences.
Participate in code reviews, ensuring quality, consistency, and maintainability across the codebase.
Work with backend and platform engineers to integrate APIs and contribute to thoughtful, testable interface design.
Contribute to improvements in front-end build, test, and deployment pipelines in partnership with QA and Cloud Ops.

Posted 4 days ago

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🔥 Senior Product Designer - AdTech

Posted 4 days ago

💸 163000.0 - 245000.0 USD per year

🔍 AdTech

🔧 Requirements

7+ years of experience designing enterprise-grade digital products, ideally in SaaS, MarTech, or AdTech environments.
Demonstrated experience designing programmatic advertising tools, campaign management dashboards, or analytics/reporting platforms.
Strong UX and visual design skills; fluency in interaction design, layout, and information architecture for complex systems.
Proficiency with Figma, prototyping tools, and tools for collaborating across functions.
Comfort with data-rich UI, including dashboards, filters, charts, and interactive elements.
Experience working closely with engineering to implement designs accurately and efficiently.
Confidence operating in ambiguous, rapidly evolving product spaces with a test-and-learn mindset.
Exceptional communication skills—you can clearly articulate design decisions and trade-offs to technical and non-technical partners alike.

💡 Responsibilities

Own end-to-end design for high-priority product areas—discovery through delivery—with a focus on AdTech-driven experiences.
Collaborate with Product Management, Engineering, Data Science, and Marketing to define user needs, product requirements, and design goals.
Translate complex AdTech workflows—such as segmentation, targeting, attribution, and bidding logic—into intuitive UX and clean UI.
Partner with Research to plan and execute qualitative and quantitative studies, synthesize insights, and integrate findings into product direction.
Create wireframes, prototypes, high-fidelity visuals, and design specs using Figma.
Contribute to our design system, ensuring scalable, consistent design patterns across data-heavy, interactive components.
Drive cross-functional design reviews, provide and solicit feedback, and align stakeholders across multiple domains.
Actively mentor junior designers, fostering a collaborative, high-quality design culture within the team.
Champion a user-centered approach in shaping long-term product vision and short-term priorities.

Posted 4 days ago

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🔥 Staff Software Engineer (Data Platform)

Posted 7 days ago

🔍 Software Development

🔧 Requirements

Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
12 - 15 years of Data Engineering experience in building enterprise data/analytics solutions.
Strong practical experience in Databases, Advanced SQL & Python/R.
Good to have experience in designing/implementing ETL data pipelines using open source platforms.

💡 Responsibilities

Design, Model and Implement data analysis and analytics solutions.
Be a hands on individual contributor for data projects in high-level design, analysis, experiments, data architecture and data modeling.
Support ETL pipeline modules – by designing state of art transformations, data cleaning, matching , reports/dashboards and statistical analysis
Hands on with analysis techniques – segmentation, regressions, clustering, data profiling to analyze trends and report key performance indicators.
Team player to build large scale, high availability, fault tolerant data analytics platform - Apache Spark ecosystem, Data Visualization and Advanced Analytics.
Work closely with cross functional teams in an Agile environment

Posted 7 days ago

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🔥 Principal Software Engineering

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 204000.0 - 306000.0 USD per year

🔍 Software Development

🔧 Requirements

10+ years of professional software engineering experience, with at least 2–3 years in a Staff Engineer or Principal Engineer role.
Demonstrated success leading delivery of distributed systems or cloud-native platforms.
Proficient in one or more modern backend languages (Java, Scala, Python preferred).
Experience with modern CI/CD pipelines, container orchestration (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
Deep understanding of system design, architectural trade-offs, and performance tuning at scale.
Hands-on experience with AI-driven development tools and their integration into engineering workflows.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent real-world experience.

💡 Responsibilities

Drive technical direction and architecture across projects involving scalable microservices, distributed systems, and modern data platforms.
Collaborate with product and engineering leadership to translate product vision into actionable technical roadmaps.
Stay hands-on by participating in technical design reviews, code reviews, architectural planning, and incident retrospectives.
Support engineering teams in delivering high-impact work while maintaining quality, security, and system resiliency.
Partner with Staff and other Principal Engineers to integrate generative and agentic AI capabilities into our platform to drive customer outcomes.
Champion modern engineering practices such as continuous delivery, test automation, observability, and cloud-native deployment.

AWSBackend DevelopmentLeadershipPythonSQLAgileCloud ComputingGCPJavaKubernetesSoftware ArchitectureAzureCI/CDRESTful APIsMentoringDevOpsMicroservicesScalaSoftware Engineering

Posted 11 days ago

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🔥 Strategy Consultant

Posted 22 days ago

🔍 B2B Marketing

🔧 Requirements

Minimum of 7 years experience in a B2B Marketing, agency or marketing operations role or consulting experience integrating Sales and Marketing technology including:
CRM (Customer Relationship Management)
SFDC, Microsoft Dynamics, or other B2B CRM applications
Experience in the area of Salesforce automation (SFA), Lead Management and Marketing
MAP (Marketing Automation Platform)
Strategic CSM (Customer Success Management)
Exceptional presentation and leadership skills with aptitude for business analysis with experience presenting to the C-Suite.
Ability to work cross functionally internally and within the customer organization, building relationships across all levels for effective stakeholder management.
Experience in sales/marketing/corporate strategy consulting is beneficial
Thrives in a fast paced, dynamic environment and working with multiple clients in a consulting atmosphere.

💡 Responsibilities

Collaborate closely with all tiers of customers to understand their business goals, GTM maturity, key workflows, integrations to develop and recommend a Value Roadmap that aligns their strategic objectives with the Demandbase platform.
Work with the Customer’s executive leadership on Go-to-Market strategic design for end-to-end process flows that enable Marketing and/or Sales to execute confidently against their go-to-market objectives.
Translate Strategic Objectives into Tactical initiatives to identify the most efficient solution and path to solving complex GTM needs.
Research the Customer organization and industry, conduct GTM Maturity Assessments, lead Strategic Workshops and present recommendations to all levels of the account.
Become an expert on the Demandbase workflows and functional on the technical best practices of the platform to speak confidently and make recommendations on use cases.
Collaborate across the Sales and CS teams to find growth levers and optimization opportunities as appropriate.
Develop best practices and thought leadership content for internal scaling and education across teams.

Posted 22 days ago

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🔥 Strategic Finance Manager - GTM Finance

Posted 25 days ago

🧭 Full-Time

💸 130000.0 - 194000.0 USD per year

🔍 SaaS

🔧 Requirements

CPA designation or progress toward CPA certification is highly preferred
5–8 years of FP&A or Strategic Finance experience, preferably in SaaS
Experience supporting GTM functions
Strong understanding of SaaS metrics and reporting standards
Build excellent financial models, especially to assess potential strategic initiatives undertaken by functional leaders
Excellent communication and stakeholder management skills
Experience working with PS or CS Ops teams a plus
Experience with key business systems (e.g. Adaptive Planning, Netsuite, Clari, Salesforce) preferred

💡 Responsibilities

Apply GAAP principles to prepare, interpret, and analyze financial statements related to Sales, Marketing, Customer Success, and Professional Services.
Lead financial planning and budgeting processes for assigned departments, including revenue, expense, and headcount forecasting.
Analyze variances between budgeted and actual financial results; prepare reconciliations and supporting documentation.
Maintain and improve internal accounting controls, documentation, and financial policies for GTM-related activities.
Compile and present periodic financial reports for leadership, including P&L statements, cost tracking reports, and margin analysis.
Support audit processes and ensure financial documentation complies with internal standards and external regulatory guidelines.
Contribute to the development of accounting models for ROI analysis, retention forecasting, and resource planning.

Posted 25 days ago

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🔥 Senior Data Scientist

Posted 29 days ago

🧭 Full-Time

💸 204000.0 - 266000.0 USD per year

🔍 Software Development

🔧 Requirements

5+ years in data science or applied machine learning roles, with demonstrated experience in causal inference and building and deploying models
Graduate degree (M.S. or Ph.D.) in Statistics, Econometrics, Computer Science, Machine Learning, Mathematics or a related field.
Proven experience applying casual inference methods (experimental and observational) as well as ML methods including: Experimentation (A/B testing), Observation Studies (propensity score matching, difference-in-differences, synthetic controls, etc.), Statistical modeling, ML methods, Ranking & Recommendation Systems
Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy)
Solid SQL skills
Familiarity with ML frameworks such as PyTorch and TensorFlow
Experience with experimentation and causal inference packages such as EconML, CausalImpact

💡 Responsibilities

Apply causal inference methods including experimentation (A/B testing) as well as observational methods (propensity score matching, difference-in-differences, synthetic controls, etc.) to measure the performance of our models and the impact our models have for our customers.
Analyze large datasets to support machine learning models, perform feature engineering, and develop and apply machine learning models to our backend and frontend applications.
Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.

Posted 29 days ago

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🔥 Senior Applied Scientist

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 204000.0 - 266000.0 USD per year

🔍 Martech, SalesTech, or Adtech

🔧 Requirements

5+ years in data science or applied machine learning roles, with demonstrated experience in causal inference and building and deploying models
Graduate degree (M.S. or Ph.D.) in Statistics, Econometrics, Computer Science, Machine Learning, Mathematics or a related field.
Proven experience applying casual inference methods (experimental and observational) as well as ML methods including: Experimentation (A/B testing), Observation Studies (propensity score matching, difference-in-differences, synthetic controls, etc.), Statistical modeling, ML methods, Ranking & Recommendation Systems
Experience with experimentation and causal inference packages such as EconML, CausalImpact
Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy)
Solid SQL skills
Familiarity with ML frameworks such as PyTorch and TensorFlow
Experience with Scala is a plus
Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus.

💡 Responsibilities

Apply causal inference methods including experimentation (A/B testing) as well as observational methods (propensity score matching, difference-in-differences, synthetic controls, etc.) to measure the performance of our models and the impact our models have for our customers.
Analyze large datasets to support machine learning models, perform feature engineering, and develop and apply machine learning models to our backend and frontend applications.
Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.

PythonSQLMachine LearningA/B testing

Posted about 1 month ago

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🔥 Growth Account Director, Majors & Mid-Market

Posted about 2 months ago

📍 United States

🧭 Full-Time

💸 82000.0 - 130000.0 USD per year

🔍 SaaS sales

🔧 Requirements

6-8+ years of full-cycle SaaS sales experience, including managing complex renewals and expansions
Experience closing deals in the $50K–$100K range
Deep understanding of marketing technology, data solutions, CDP, or RevTech with the ability to navigate pricing objections and competitive dynamics
Track record of consistently exceeding quota, particularly in a high-growth environment
Ability to manage complex sales cycles (average 2–4 months), across multiple departments including marketing, sales, and procurement
Strong storytelling and negotiation skills to communicate product value—even when up against competitors with stronger perceived data products

💡 Responsibilities

Own a portfolio of Mid-Market & Majors accounts, focusing on growth and retention
Proactively generate pipeline through strategic prospecting across your book of business
Develop expansion strategies across business units and functions
Partner closely with the CSM team to ensure adoption and customer success; collaborate on mutual account plans and expansion goals
Act as a strategic advisor, understanding your customers’ goals across marketing, advertising, and data to drive value-based selling
Defend value and navigate pricing objections, especially around data products
Build and manage a pipeline that supports quarterly and annual targets, with accurate forecasting and activity tracking in Salesforce

SalesforceRESTful APIsAccount ManagementNegotiation skillsBudgetingCross-functional collaborationSales experienceData visualizationMarketingCRMData analyticsCustomer SuccessSaaS

Posted about 2 months ago

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