Openrouter
Business Development Representative, Enterprise
Remote (US). Posted a month ago
The role
An Enterprise Business Development Representative will build qualified pipeline through outbound prospecting into target enterprise accounts. You will partner with Enterprise Account Executives to open conversations with people building and buying AI infrastructure.
What you will do
- Partner with Enterprise Account Executives to prioritize accounts and research AI initiatives.
- Identify relevant contacts across AI, engineering, platform, and IT leadership.
- Prospect through cold calls, personalized email, and LinkedIn.
- Lead initial discovery to understand use cases, approaches, challenges, and timing.
- Assess fit and secure a next step with an Account Executive.
- Maintain accurate CRM records and provide clear handoffs.
- Nurture promising accounts that are not ready to evaluate.
- Test and improve account selection, messaging, and outreach sequences.
Required qualifications
- 2+ years in an outbound BDR, SDR, or similar sales development role at a B2B technology company.
- A track record of meeting or exceeding outbound opportunity or pipeline targets.
- Experience prospecting into enterprise accounts and engaging technical stakeholders.
- Strong communication skills for email, cold calls, and uncovering customer needs.
- Curiosity about AI and the ability to learn a technical product and explain its value.
- Strong organization and follow-through.
- Experience using a CRM and sales prospecting tools.
- The ability to work independently and take coaching.
Nice to have
- Experience with AI infrastructure, developer tools, cloud platforms, data infrastructure, or API products.
- Familiarity with the LLM ecosystem, including OpenAI, Anthropic, Google, and open-source models.
- Experience at an early-stage or high-growth company.
- Experience using product adoption signals to identify enterprise opportunities, or selling products with consumption-based pricing.
About the company
OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers. They power advanced AI teams by providing flexibility to move fast and scale confidently.