Forward-Deployed Engineer
San Mateo, CA · On-site
Ept AI is the industry's first modular and scalable Tech Product AI platform. As a Forward Deployed Engineer, you will be embedded with strategic customers, acting as a technical front-line to ...
Ept Ai
1 job near Columbus, OH
Forward-Deployed Engineer
San Mateo, CA · On-site
Ept AI is the industry's first modular and scalable Tech Product AI platform. As a Forward Deployed Engineer, you will be embedded with strategic customers, acting as a technical front-line to ...
Full-time
Re-posted 8 days ago
Job description
Job Summary:
Ept AI is the industry’s first modular and scalable Tech Product AI platform. As a Forward Deployed Engineer, you will be embedded with strategic customers, acting as a technical front-line to deliver and integrate the AI platform into their environments, ensuring it becomes integral to their operational workflow.
Responsibilities:
• Engage directly with enterprise customers (C-suite, product, sales, support leaders) to understand their business goals, bottlenecks and technical landscape, and define how ept AI’s platform can deliver differentiated value.
• Lead the end-to-end deployment lifecycle for complex AI use cases: requirement discovery → solution design → rapid prototyping → production readiness → scalable rollout → ongoing optimisation.
• Write, review and deploy production-grade code, data pipelines, APIs, and integrations (both on-premises and cloud) to embed our modular AI platform into customer workflows.
• Work closely with ept AI’s product and engineering teams to feed back field insights, drive platform enhancements, prioritise feature requests, and contribute to our roadmap.
• Serve as the trusted technical advisor for the customer, handling technical escalations, performance tuning, adoption metrics, security/compliance concerns and change management.
• Enable adoption and ROI: define and track metrics of success (time-to-value, CSAT, support ticket reduction, incremental revenue, etc.), deliver training and documentation, and work with customer teams to drive long-term value realisation.
• Support pre-sales and commercial activities: providing scoping support, technical demos, proof-of-value builds, and contributing to RFPs or statements of work when needed.
• Travel regularly (domestic and/or international) to be onsite at customer locations as required by deployment rhythm.
• Maintain strong customer relationships, ensure high satisfaction, retention and expansion opportunities, and act as an ambassador for ept AI’s brand and technical excellence.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering or related technical discipline (or equivalent practical experience).
• 5+ years of hands-on software engineering in enterprise environments; demonstrable experience building production systems (backend, data, integrations) in one or more languages (e.g., Python, Java, C#) and comfortable working with APIs, microservices, event-driven architectures and cloud platforms.
• Experience with deploying or integrating enterprise-scale AI, ML, or data-driven platforms (ideally including natural language, agent-based workflows, or modular AI architectures).
• Strong ability to translate business/operational problems into technical solutions. Comfort bridging business stakeholders and engineering teams.
• Experience in customer-facing roles (customer success, professional services, solutions engineering, or equivalent) where you’ve delivered measurable outcomes.
• Excellent communicator—capable of engaging both executives and engineers; able to present value, trade-offs, timelines and technical architecture clearly.
• Demonstrated ability to operate in ambiguous, fast-moving environments and handle multiple customer deployments in parallel, maintaining quality and customer satisfaction.
• Willingness and ability to travel (up to ~50-70%) including customer site visits worldwide as needed.
• Strong customer-oriented mindset, resilient under pressure, able to escalate, adapt and deliver.
Preferred:
• Experience working with enterprise security, compliance, data-governance, and integration into legacy systems is a plus.
Company:
Sales & support AI for B2B tech companies Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
Ept AI is the industry’s first modular and scalable Tech Product AI platform. As a Forward Deployed Engineer, you will be embedded with strategic customers, acting as a technical front-line to deliver and integrate the AI platform into their environments, ensuring it becomes integral to their operational workflow.
Responsibilities:
• Engage directly with enterprise customers (C-suite, product, sales, support leaders) to understand their business goals, bottlenecks and technical landscape, and define how ept AI’s platform can deliver differentiated value.
• Lead the end-to-end deployment lifecycle for complex AI use cases: requirement discovery → solution design → rapid prototyping → production readiness → scalable rollout → ongoing optimisation.
• Write, review and deploy production-grade code, data pipelines, APIs, and integrations (both on-premises and cloud) to embed our modular AI platform into customer workflows.
• Work closely with ept AI’s product and engineering teams to feed back field insights, drive platform enhancements, prioritise feature requests, and contribute to our roadmap.
• Serve as the trusted technical advisor for the customer, handling technical escalations, performance tuning, adoption metrics, security/compliance concerns and change management.
• Enable adoption and ROI: define and track metrics of success (time-to-value, CSAT, support ticket reduction, incremental revenue, etc.), deliver training and documentation, and work with customer teams to drive long-term value realisation.
• Support pre-sales and commercial activities: providing scoping support, technical demos, proof-of-value builds, and contributing to RFPs or statements of work when needed.
• Travel regularly (domestic and/or international) to be onsite at customer locations as required by deployment rhythm.
• Maintain strong customer relationships, ensure high satisfaction, retention and expansion opportunities, and act as an ambassador for ept AI’s brand and technical excellence.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering or related technical discipline (or equivalent practical experience).
• 5+ years of hands-on software engineering in enterprise environments; demonstrable experience building production systems (backend, data, integrations) in one or more languages (e.g., Python, Java, C#) and comfortable working with APIs, microservices, event-driven architectures and cloud platforms.
• Experience with deploying or integrating enterprise-scale AI, ML, or data-driven platforms (ideally including natural language, agent-based workflows, or modular AI architectures).
• Strong ability to translate business/operational problems into technical solutions. Comfort bridging business stakeholders and engineering teams.
• Experience in customer-facing roles (customer success, professional services, solutions engineering, or equivalent) where you’ve delivered measurable outcomes.
• Excellent communicator—capable of engaging both executives and engineers; able to present value, trade-offs, timelines and technical architecture clearly.
• Demonstrated ability to operate in ambiguous, fast-moving environments and handle multiple customer deployments in parallel, maintaining quality and customer satisfaction.
• Willingness and ability to travel (up to ~50-70%) including customer site visits worldwide as needed.
• Strong customer-oriented mindset, resilient under pressure, able to escalate, adapt and deliver.
Preferred:
• Experience working with enterprise security, compliance, data-governance, and integration into legacy systems is a plus.
Company:
Sales & support AI for B2B tech companies Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.