AI Sales Engineer
Skills
- Customer-facing technical expertise in Sales Engineering or Solutions Architecture.
- Deep knowledge of cloud SaaS platforms, REST APIs, data integration, and enterprise CRM/POS systems.
- Understanding of generative AI concepts including LLMs, vector DBs, RAG, fine-tuning, and prompt engineering.
- Effective communication and presentation of complex AI/ML topics to diverse audiences.
- Experience managing multi-stakeholder enterprise sales cycles and technical validation.
- Strong collaboration across product, engineering, and revenue teams.
- Ability to manage priorities in high-value account engagements.
Responsibilities
- Lead technical engagements in enterprise sales cycles with account executives and product teams.
- Design and present AI-powered solution architectures for voice AI agents, messaging, automation, and lead conversion.
- Conduct technical discovery sessions with enterprise stakeholders across IT, marketing, and operations.
- Collaborate with product and engineering teams to relay customer feedback and influence roadmap.
- Partner with system integrators and enterprise IT to enable smooth solution integration.
- Deliver custom demos, proofs-of-concept, and technical validations during sales processes.
- Support pilot AI deployments and scale adoption for customers.
- Develop technical documentation and enablement materials for customers and partners.
- Represent Podium at technical and industry events.
Education
- Bachelor’s degree in Computer Science, Engineering, or related technical field preferred
Benefits
- Competitive salary and equity options
- Health insurance coverage
- Flexible work model blending remote and onsite
- Opportunities for professional growth and development
- Participation in innovative AI product development
- Engagement with industry-leading clients and partners
Average salary estimate
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