5+ years in customer-facing technical roles for enterprise software or AI implementations.
Hands-on experience with APIs and system integrations in enterprise settings.
Proven ability to manage complex, multi-stakeholder projects from start to finish.
Knowledge of compliance, security, and risk governance in tech deployments.
Experience in pre-sales activities, including proof-of-concepts and technical assessments.
Proficient in SQL and analytics tools like BigQuery for performance analysis.
Strong communication skills and technical judgment, with an entrepreneurial mindset.
Responsibilities
Lead end-to-end projects to integrate AI platforms into customer operations.
Identify customer goals and design effective integration strategies.
Assist customers in configuring AI agents to solve operational issues.
Analyze performance data to drive improvements and identify opportunities.
Support pre-sales efforts, including technical due diligence and proof-of-concepts.
Advocate for customer needs while collaborating with internal teams.
Develop scalable onboarding processes and manage project risks related to compliance and security.
Benefits
Opportunity to work in a fast-growing Series A fintech AI company.
Engage with a diverse range of enterprise customers.
Collaborate with cross-functional teams including AI, engineering, and sales.
Contribute to the direction of AI product development.
Work in a dynamic, innovative environment focused on measurable outcomes.
Full Job Description
About the Role
Join the customer-facing product team at a Series A fintech AI company, helping enterprise customers integrate AI agents into their operations. You will lead technical deployments from discovery through implementation, working across customer teams and internal AI, engineering, and sales groups to deliver measurable business outcomes. What You'll Do
Scope and lead end-to-end projects that embed an AI platform into enterprise customer operations.
Discover customer goals, requirements, and workflows, then design practical integration and deployment approaches.
Help customers configure and improve AI agents to address operational challenges and increase resolution rates.
Analyze performance data to measure effectiveness, identify opportunities, and support continuous improvement.
Support pre-sales work, including proof-of-concepts, technical due diligence, and handoffs to implementation.
Represent customer needs in collaboration with AI, engineering, and sales teams, and contribute insights to product direction.
Build scalable onboarding and implementation processes, while managing project risks and governance related to security, compliance, and responsible AI.
What We're Looking For
At least 5 years of experience in forward-deployed, customer-facing technical roles delivering enterprise software or AI platform implementations.
Hands-on experience with APIs, system integrations, and technical solution design in enterprise environments.
A track record of owning complex, multi-stakeholder technical projects from scoping through implementation.
Experience with compliance, security, or risk governance in enterprise or regulated technology deployments.
Experience supporting pre-sales cycles, including proof-of-concepts and technical due diligence.
Comfort using SQL, data warehouses, and analytics tools such as BigQuery or similar platforms to understand performance metrics.
Strong customer communication skills, sound technical judgment, and an entrepreneurial approach to balancing customer goals with feasibility.
Experience with AI product management, agent-based automation, responsible AI, or financial services is valuable.
Compensation & Benefits
Visa sponsorship is not available for this role. Location
On-site in Los Angeles, California, United States.
