About the Role
We are looking for a commercially minded, AI-driven builder to transform how we generate revenue, automate go-to-market (GTM) operations, and scale our commercial capabilities.
This role sits at the intersection of Sales, Marketing, Revenue Operations, AI, and Automation. The ideal candidate understands how businesses grow, enjoys experimenting with emerging technologies, and can translate commercial challenges into practical, scalable solutions.
We are not necessarily looking for a traditional software engineer. We want someone with strong business acumen, genuine enthusiasm for AI, technical curiosity, and a hands‑on builder's mindset.
Key Responsibilities
1. Revenue Growth & GTM Intelligence
- Develop AI-driven systems that improve prospecting, lead qualification, pipeline generation, and conversion.
- Leverage internal and external data signals to identify high-value accounts and buying opportunities.
- Build intelligent lead scoring, account prioritization, and personalized outreach capabilities.
- Measure initiatives based on pipeline influenced, conversion improvements, and revenue impact.
2. GTM Automation & Process Optimization
- Identify inefficiencies across Sales, Marketing, RevOps, and Customer Success.
- Design and implement automated workflows for prospect research, lead enrichment, CRM updates, outreach, follow‑ups, and reporting.
- Integrate existing platforms to create reliable, scalable workflows.
- Reduce manual work, improve turnaround times, and increase commercial productivity.
3. Data Intelligence & CRM Optimization
- Improve the accuracy, completeness, and reliability of CRM and GTM data.
- Implement automated data enrichment, validation, deduplication, and synchronization.
- Combine internal and external data sources to strengthen account intelligence, targeting, and segmentation.
- Develop reporting and insights that support better commercial decision-making.
4. AI Experimentation & Innovation
- Evaluate emerging AI technologies, agents, and automation platforms for practical business applications.
- Rapidly prototype and test new GTM strategies using AI, automation, and differentiated data signals.
- Experiment with AI-powered research, personalized engagement, intelligent workflows, and productivity solutions.
- Measure results, refine successful experiments, and scale proven solutions across the organization.
5. Commercial Enablement & Cross-Functional Execution
- Partner with Sales, Marketing, RevOps, Customer Success, and technical teams to identify opportunities and solve business challenges.
- Translate commercial requirements into practical AI and automation solutions.
- Equip teams with actionable account intelligence, sales preparation tools, and automated workflows.
- Own initiatives from concept and prototyping through deployment, documentation, and adoption.
- Ensure deployed systems are reliable, secure, maintainable, and scalable.
Ideal Candidate Profile
- Business Acumen: Strong understanding of B2B sales, marketing, revenue operations, and the commercial drivers of growth.
- AI Enthusiasm: Genuine curiosity about AI, emerging technologies, and their application to real business problems.
- Builder's Mindset: Enjoys experimenting, prototyping, and independently turning ideas into working solutions.
- Technical Fluency: Comfortable with automation platforms, CRM integrations, APIs, and AI tools. Experience with SQL or Python is beneficial but not required.
- Analytical Thinking: Ability to interpret data, identify inefficiencies, evaluate opportunities, and measure business outcomes.
- Execution & Ownership: Resourceful, proactive, and capable of taking initiatives from concept to implementation.
- Cross-Functional Collaboration: Ability to work effectively with commercial and technical stakeholders and drive adoption.