Digital Divide Data
Website:
digitaldividedata.com
Job details:
Company Description
Digital Divide Data (DDD) delivers AI Data Solutions with human-in-the-loop for LLMs and Physical AI, specializing in AI/ML model training and annotation services. Trusted by Fortune 500 companies and leading organizations in robotics, autonomous driving, government, defense tech, technology, AgTech, and cultural heritage, DDD helps ensure the safety, performance, and reliability of AI applications. DDD also offers Generative AI solutions such as NLP dataset creation, prompt engineering, model output evaluation, red teaming, reinforcement learning, fine-tuning, and rigorous quality control.
Digital Divide Data is a mission driven social enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. Our headquarters are in New York, and we have over 2,500 employees across delivery centers in Kenya, Cambodia, Laos, Philippines, and India.
www.digitaldividedata.com
About the Role
In preparation for DDD’s next phase of growth, we're looking for a hands-on Marketing and Revenue Operations Specialist to own the systems, data, and processes connecting marketing and sales in a fast-moving organization. In this role, you will be responsible for maintaining the integrity and performance of our HubSpot and Salesforce environments, transforming complex data into reliable dashboards that inform executive decision-making, and establishing the operational infrastructure that aligns Marketing, Sales, and Customer Success into a cohesive revenue motion.
This is a hands-on position suited to a professional who is equally effective architecting Salesforce workflows, ensuring the accuracy and cleanliness of contact data, and presenting pipeline insights to senior leadership. The ideal candidate brings a disciplined approach to data governance and a proactive mindset toward reporting, delivering dashboards that anticipate the questions stakeholders need answered.
Key Responsibilities
Marketing Operations
- Administer, configure, and optimize both HubSpot and Salesforce, including objects, fields, workflows, automation, permissions, and integrations between the two platforms and with Linkedin Sales Navigator, Apollo, Google Ads and other marketing stack.
- Own list segmentation, lead scoring, and database hygiene (deduping, enrichment, opt-in compliance).
- Track campaign performance and report on cost-per-lead, conversion rates, and channel ROI.
Revenue / Sales Operations
- Administer the CRM (Salesforce/HubSpot), design, build, and maintain dashboards and reports across the full funnel- lead-to-close, pipeline health, forecast accuracy, conversion rates, and revenue attribution for reps, managers, and executives.
- Own lead routing and the MQL-to-SQL handoff process between marketing and sales.
- Support basic forecasting, pipeline reviews, and deal tracking for the sales team.
Reporting & Analytics
- Build and maintain dashboards covering funnel metrics, pipeline health, and marketing-sourced revenue.
- Deliver weekly/monthly reporting to leadership on marketing and sales performance.
Process & Tools
- Document processes and playbooks as the team scales.
- Evaluate and recommend new tools as budgets allow, keeping the stack lean and cost-effective.
- Coordinate cross-functionally with sales, marketing, and solutions team on shared definitions and SLAs.
Required Skills & Qualifications
- 8-10 years of experience spanning marketing operations and/or sales/revenue operations, ideally in a B2B SaaS, IT services, or startup environment.
- Deep, hands-on expertise in both HubSpot and Salesforce - not just using them, but configuring, administering, and connecting them. Salesforce Administrator
- Proven track record of building dashboards and reports that drive decisions, including comfort with Salesforce reports/dashboards, HubSpot reporting, and ideally a BI tool (Looker Studio)
- Strong data management skills: you know how to model data cleanly, keep it clean, and diagnose why a number looks wrong.
- Solid grasp of the revenue funnel and GTM motions, how leads become pipeline and pipeline becomes revenue.
- Excellent analytical skills with the ability to translate raw data into clear, actionable narratives for non-technical stakeholders.
- Good communication skills to work directly with founders/leadership in a smaller, less hierarchical setup.
- Master's degree in marketing, business, or a related field.
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