About Smartcat
Smartcat builds an enterprise Agentic AI platform that combines generative AI, human-in-the-loop workflows, and an Enterprise Skill Graph. Its AI agents learn from people, content, and business strategy to help enterprises build hybrid workforces and turn knowledge into action. More than 1,000 companies, including 20% of the Fortune 500, rely on Smartcat.
Responsibilities
•Partner with business leaders and technical teams at strategic customers to scope high-value AI use cases and align on success metrics from sales through delivery
•Identify AI workflows that can deliver ROI, efficiency, and competitive advantage, and build business cases with account teams
•Design, build, and deploy custom AI solutions and agents for customers, beyond reconfiguring existing workflows
•Work with structured and unstructured customer data, including vector databases, MCP, and RAG, and build agents combining semantic and keyword search across customer knowledge bases and content
•Own customer engagements end to end, from ideation through delivery, ensuring long-term adoption and measurable business outcomes
•Work in a customer pod with the Strategic Account Executive, Technical Account Manager, and Forward Deployed Engineer
•Train and empower customer teams to use and iterate on AI workflows, and drive onboarding and change management
•Represent the voice of the customer by surfacing needs, patterns, and insights that inform the product roadmap
•Contribute playbooks, reusable solution patterns, and case studies, and promote AI-first thinking across the team
First 30 days
•Learn the platform, AI agent capabilities, and customer workflows
•Meet pod partners and learn how each role contributes
•Get oriented on assigned strategic accounts, including business goals, stakeholders, workflows, and opportunities
•Set up the team's AI tooling and development environment
By day 60
•Join customer conversations to scope AI use cases and define success metrics
•Build and test a first custom AI solution or agent for a live customer opportunity
•Document the use case, approach, and expected business impact
By day 90
•Own a customer engagement from scoping through delivery, with a working solution in the customer's hands
•Run customer enablement or training and support adoption
•Bring customer feedback and reusable patterns back to Product and the wider team
Requirements
•Experience in a customer-facing AI, solutions, consulting, or technical role
•A track record of building AI-powered workflows, agents, or automations that solve real business problems, not just integrations
•Hands-on experience with AI coding tools such as Claude, Cursor, Cline, or similar, used as the default way to build, test, and solve problems
•Hands-on experience building with Python
•Familiarity with vector databases, MCP, RAG, and agent design
•Comfort with the command line, basic Linux administration, and cloud infrastructure such as AWS/GCP
•Ability to translate ambiguous business problems into practical, scalable AI solutions and drive projects end to end
•Comfort engaging technical stakeholders and senior executives, translating between them, and strong communication and collaboration skills
•Customer-centric mindset and ability to connect technical capabilities to business value
•Experience delivering solutions in complex enterprise organizations and working in a fast-moving startup environment
•Builder mentality, bias for action, comfort with ambiguity, and ability to create structure where none exists
•Experience with change management and customer enablement
•Flexibility to travel for customer engagements
Nice to have
•B2B SaaS or enterprise experience
•SQL or data analysis
•Leading cross-functional initiatives or teams
Conditions
•Customer travel may be required
