About the Role
Bright Data is seeking a high-performing Strategic Account Executive to develop and own business with technically sophisticated companies. This role involves combining deep account management of existing customers with targeted prospecting into named AI Labs and digital native accounts to fuel growth.
Responsibilities
- Own the commercial and strategic relationship for a named set of high-value accounts, driving consistent ARR expansion through new use cases, products, and business units.
- Build multi-threaded relationships across technical champions and business stakeholders.
- Proactively identify expansion opportunities, model training cycles, product launches, and infrastructure scale-ups, positioning Bright Data's solutions ahead of demand.
- Lead structured Executive Business Reviews (EBRs) that demonstrate clear ROI and open doors to the next horizon of growth.
- Actively prospect a highly targeted list of AI Labs and digital native companies to secure new business.
- Combine top-down executive outreach with bottom-up champion development among technical practitioners.
- Lead complex, multi-stakeholder sales cycles from first outreach through to close, both face-to-face and remote, with a structured, repeatable process.
- Run POC/pilot processes in close partnership with Solutions Consultants to prove measurable value early and accelerate deal momentum.
- Develop pipeline through self-driven prospecting and collaboration with BDRs, Solution Consultants, Product, Support, Partners, and Marketing.
- Coordinate and lead cross-functional account teams, ensuring internal resources are aligned to customer needs and deal milestones.
- Partner deeply with customers to understand their business objectives, technical architecture, and data strategy, positioning yourself as a trusted advisor.
- Manage an accurate, up-to-date pipeline with strong forecast discipline.
- Identify and communicate new areas of expansion, both commercial and technical, back into the business to inform product roadmap and GTM strategy.
- Maintain a high standard of CRM hygiene and structured deal reviews throughout the sales cycle.
Requirements
- 7–10+ years of enterprise sales experience, with a consistent track record of closing and expanding high-value, complex accounts.
- Proven experience selling to AI Labs, AI-native companies, or technically sophisticated digital native businesses.
- Demonstrated ability to manage long, complex, multi-stakeholder sales cycles involving technical evaluations, procurement, legal, and security reviews.
- Experience with both account expansion (grow) and new logo acquisition (hunt) motions.
- Background in data infrastructure, APIs, developer tools, SaaS platforms, or adjacent technical products strongly preferred.
- Technical Fluency: Comfortable engaging credibly with technical buyers (AI engineers, data engineers, platform architects) without needing a Solutions Consultant in every conversation.
- Able to translate complex customer data challenges into clear use cases mapped to Bright Data's product portfolio.
- Familiar enough with concepts like data pipelines, LLM training data, RAG architectures, and API infrastructure to hold a meaningful peer-level conversation.
- Proficiency with structured sales methodologies MEDDIC / MEDDPICC preferred.
- An active, enthusiastic user of AI tools in your own sales workflow.
Skills
- Account Management
- Strategic Account Management
- Enterprise Sales
- Sales Prospecting
- Business Development
- Relationship Building
- Executive Engagement
- Sales Pipeline Management
- Forecasting
- CRM Management
- Data Infrastructure
- APIs
- Developer Tools
- SaaS Platforms
- Technical Sales
- AI
- LLM
- RAG Architectures
Experience Level
- 7-10+ years of enterprise sales experience
About the Company
- Bright Data is the world's leading web data platform — trusted by AI Labs, LLM developers, and digital native companies to power the data pipelines that sit at the heart of their AI models, products, and competitive intelligence.
- Our platform brings together a 400M+ IP proxy network, 1,000+ pre-built scrapers, ready-made datasets, and AI-ready APIs — giving AI teams access to the real-time public web data they need, without the infrastructure overhead.
