AI Solutions Engineer (San Fransisco)

We are a well-funded, early-stage startup hiring our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

Key Responsibilities

Customer Onboarding & Process Analysis

• Engage with customers post-close to understand workflows, operational processes, and deployment requirements.

• Translate findings into clear implementation plans for AI-powered solutions.

Data, AI Models & Workflow Development

• Partner with customers to assess data readiness and gather inputs for AI workflows.

• Configure and integrate AI components into tailored, AI-driven workflows.

• Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

• Own end-to-end solution deployment and ensure models meet performance and business value expectations.

• Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

• Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.

• Guide customers through security, compliance, and IT approval processes.

• Plan and execute rollout to drive smooth implementation and adoption.

Qualifications

• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.

• Strong analytical skills with the ability to translate business needs into technical solutions.

• Strong understanding of AI concepts and their enterprise applications.

• High adoption of modern AI tools and workflows.

• Experience supporting deployments across cloud environments and enterprise system integrations.

• Excellent communication and stakeholder management skills.

• Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.

Nice to Have

• Experience with process mining, workflow mapping, or operational analytics

• Familiarity with enterprise platforms

• Financial services industry experience

Compensation

The expected salary for this role is $180,000 to $230,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.