Remote in USA+1 moreMore locations: San Mateo, CA, USA
HybridTravel up to approximately 50–70%, including worldwide customer site visits, is required.
Software EngineeringAI Application Engineering
About the job
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
At least 5 years of hands-on software engineering experience in enterprise environments, with experience building production backend systems, data systems, or integrations in one or more programming languages such as Python, Java, or C#, and familiarity with APIs, microservices, event-driven architectures, and cloud platforms.
Experience deploying or integrating enterprise-scale AI, machine learning, or data-driven platforms; natural language, agent-based workflows, or modular AI architectures are especially relevant.
Ability to translate business and operational problems into technical solutions and work between business stakeholders and engineering teams.
Experience in customer-facing roles such as customer success, professional services, or solutions engineering, delivering measurable outcomes.
Ability to engage executives and engineers and clearly present value, trade-offs, timelines, and technical architecture.
Ability to operate in ambiguous, fast-moving environments and manage multiple customer deployments in parallel while maintaining quality and customer satisfaction.
Willingness and ability to travel up to approximately 50–70%, including worldwide customer site visits as needed.
Ability to work with enterprise security, compliance, data governance, and integration into legacy systems is a plus.
Ability to adapt, deliver, and escalate issues as needed in customer-facing work.
Responsibilities
Engage directly with enterprise customers, including C-suite, product, sales, and support leaders, to understand business goals, bottlenecks, and technical environments and determine how the platform can deliver value.
Lead the full deployment lifecycle for complex AI use cases, from requirements discovery and solution design through rapid prototyping, production readiness, scalable rollout, and ongoing optimization.
Write, review, and deploy production-grade code, data pipelines, APIs, and integrations across on-premises and cloud environments to embed the platform in customer workflows.
Collaborate with product and engineering teams to share field insights, drive platform enhancements, prioritize feature requests, and contribute to the product roadmap.
Act as the customer’s technical advisor, handling technical escalations, performance tuning, adoption metrics, security and compliance concerns, and change management.
Define and track success metrics such as time-to-value, customer satisfaction, support ticket reduction, and incremental revenue; deliver training and documentation and work with customer teams to realize long-term value.
Support pre-sales and commercial activities by providing scoping support, technical demonstrations, proof-of-value builds, and contributions to requests for proposals or statements of work.
Travel domestically or internationally to customer locations as required by deployment schedules.
Maintain customer relationships and satisfaction, support retention and expansion opportunities, and represent the company’s brand and technical capabilities.
Deliver initial deployments that meet time-to-value targets and demonstrate measurable business impact.
Build customer relationships as a trusted technical partner to support renewals and expansion.
Contribute field-informed product enhancements to the roadmap.
Develop reusable deployment patterns, internal best practices, and playbooks for future customer engagements.
Represent the company professionally with customers, prospects, and industry forums.
Desired Qualifications
Experience with enterprise security, compliance, data governance, and integrating with legacy systems.
About ept AI
ept AI is the industry’s first modular and scalable Tech Product AI platform — designed to put an AI support engineer on every customer’s desktop and an AI sales engineer in every rep’s pocket. We help enterprise technology organizations eliminate expert bottlenecks and scale high-quality communication across sales, support, and product marketing. Our platform delivers faster response times, improved CSAT, and measurable ROI through intelligent workflows, deep channel integration, and enterprise-grade control.
We’re expanding our customer organization and looking for a Customer Success Manager who can guide complex enterprise accounts, ensure lasting value, and serve as a trusted partner to senior-level stakeholders.
Role Summary
As a Forward Deployed Engineer at ept AI, you will be embedded with strategic customers and will act as the technical front-line to deliver, integrate and operationalise our AI platform into their environments. You will partner with client stakeholders, ept AI product & engineering teams, and ept AI’s go-to-market teams to scope, build, deploy, optimise and scale solutions that deliver measurable business value. You will bridge business strategy and technical execution, ensuring our platform becomes an integral part of the customer’s operational workflow, not just a product installation.
Key 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.
Required Skills & Experience
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.
Experience working with enterprise security, compliance, data-governance, and integration into legacy systems is a plus.
What Success Looks Like
You deliver first-line deployments that achieve time-to-value targets (e.g., first 90 days) and measurable business impact (e.g., support case reduction by X%, revenue uplift by Y%).
You build deep relationships within each customer, becoming the go-to technical partner, which raises renewal and expansion rates.
You feed impactful, field-informed product enhancements into the ept AI roadmap, accelerating platform maturation and differentiation.
You contribute to scaling our go-to-market model by developing reusable deployment patterns, internal best practices and playbooks for future customer engagements.
You represent ept AI professionally in front of customers, prospects and industry forums — reinforcing our reputation for technical excellence, trustworthiness and value-driven deployment.