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Reporting to the Vice President Global Sales and CS, the Senior Solutions Engineer is a highly technical and customer-facing individual contributor responsible for helping enterprise customers evaluate, deploy, and operationalize Generative AI applications and agents using Opik by Comet.

This role partners closely with Account Executives throughout the enterprise sales cycle and serves as a trusted technical advisor during discovery, product demonstrations, proof-of-concepts, and production readiness discussions. The ideal candidate has experience supporting enterprise AI, developer tooling, observability, infrastructure, or platform technologies and understands how modern AI engineering teams build and scale GenAI systems.

This role requires strong technical depth across LLM workflows, AI evaluation, observability, and AI reliability, combined with the ability to communicate complex technical concepts clearly to both technical and executive audiences. The ideal candidate is hands-on, highly consultative, and capable of building compelling demos and prototype GenAI applications that showcase how Opik helps organizations build reliable AI systems in production.

While this is an individual contributor role, the Senior Solutions Engineer will also act as a senior technical leader within the organization by mentoring peers, improving technical processes, and helping standardize demo, POC, and customer engagement best practices.

This individual will work cross-functionally with Sales, Customer Success, Product, Engineering, and Marketing to drive technical wins, accelerate enterprise adoption, and support Comet's MEDDPICC and Challenger-based sales process.
Responsibilities:

• Partner with Account Executives to support enterprise opportunities from technical discovery through close
• Lead technical discovery sessions, architecture discussions, workshops, demos, and proof-of-concepts
• Build and deliver compelling demos and sample GenAI applications showcasing Opik's capabilities across:
• LLM evaluation
• Agent observability
• Trace and span analysis
• Regression testing
• Prompt and configuration management
• Production AI monitoring and governance
• Design and execute enterprise proof-of-concepts with measurable success criteria tied to customer business outcomes
• Help customers operationalize AI agents and GenAI applications in production environments
• Support MEDDPICC qualification including technical pain validation, decision criteria alignment, competitive positioning, and deployment readiness
• Partner closely with Customer Success to ensure smooth customer handoffs into onboarding and post-sales deployment
• Collaborate with Product and Engineering teams to communicate customer feedback, product gaps, technical requirements, and competitive insights
• Build reusable demo assets, technical enablement content, and evaluation frameworks for the field organization
• Assist in developing standardized demo flows, technical messaging, and customer engagement best practices

Preferred Qualifications:

• Passion for customers, technology, and Generative AI
• Strong customer-facing communication and presentation skills
• Hands-on experience with:
• Generative AI applications
• LLMs and AI agents
• AI evaluation and observability
• APIs and developer tooling
• Cloud and infrastructure concepts
• Experience building demos, prototypes, or technical workflows for enterprise software platforms
• Proven experience running enterprise proof-of-concepts and technical evaluations
• Strong understanding of enterprise sales motions and MEDDPICC qualification
• Ability to simplify complex technical concepts into clear business value and customer outcomes
• Strong problem-solving, organizational, and cross-functional collaboration skills
• Self-starter with strong ownership mentality and bias toward execution

Requirements:

• 5+ years in Solutions Engineering, Sales Engineering, Customer Engineering, or related customer-facing technical roles
• Experience supporting enterprise SaaS, AI infrastructure, developer tooling, or observability platforms
• Experience working with AI/ML workflows, APIs, developer platforms, or cloud infrastructure
• Bachelor's Degree in Computer Science, Engineering, Mathematics, or related technical field preferred

Bonus:

• Experience with Generative AI infrastructure or LLM tooling
• Experience supporting open-source GTM motions
• Familiarity with AI observability, evaluation, or production monitoring platforms
• Experience building AI demos, agent workflows, or prototype GenAI applications

What We Offer:

• Competitive base salary based on proven experience, skills and location
• Competitive benefits package
• Flexible working hours and remote/Hybrid work options
• Opportunities for professional growth and development
• A collaborative and innovative work environment
• The chance to work with cutting-edge technologies and projects
• This role will be located in the USA working remotely with a global team (large presence also in the Europe and Israel) - some flexibility with work hours is required.
• Some travel to customer on-sites is required`