ept AI Logo

ept AI

Forward-Deployed Engineer

Reposted 14 Days Ago
In-Office or Remote
Hiring Remotely in San Mateo, CA, USA
Senior level
In-Office or Remote
Hiring Remotely in San Mateo, CA, USA
Senior level
As a Forward Deployed Engineer, you will integrate and optimize AI solutions for enterprise customers, manage deployment lifecycles, and act as a technical advisor, ensuring customer satisfaction and adoption of ept AI's platform.
The summary above was generated by AI

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.

Top Skills

C#
Java
Python
HQ

ept AI San Francisco, California, USA Office

San Francisco, CA , United States, 94116

Similar Jobs

3 Days Ago
Easy Apply
Remote or Hybrid
San Francisco, CA, USA
Easy Apply
137K-207K Annually
Senior level
137K-207K Annually
Senior level
Artificial Intelligence • Cloud • Software
The Forward-Deployed Engineer will modernize frontend applications, lead migrations to Next.js, architect high-performance applications, build AI solutions, and engage with enterprise customers to deliver measurable business value.
Top Skills: Ai SdkCore Web VitalsEdge FunctionsIncremental Static Regeneration (Isr)LlmsNext.JsReactServer ComponentsTypescript
18 Days Ago
In-Office or Remote
San Francisco, CA, USA
100K-140K Annually
Mid level
100K-140K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
As a Forward Deployed Engineer, you'll redesign work processes using AI, prototype workflows, and engage both technical and non-technical stakeholders to drive efficiency and impact.
Top Skills: Agent FrameworksAILlm Tooling
Yesterday
Remote or Hybrid
USA
93K-250K Annually
Mid level
93K-250K Annually
Mid level
Artificial Intelligence • Cloud • Events • Productivity • Software • Business Intelligence • Conversational AI
The AI Forward-Deployed Engineer is responsible for deploying agentic AI experiences within strategic customer accounts, ensuring measurable business outcomes through technical deployments and collaboration.
Top Skills: Agent Orchestration FrameworksCrmsEhrsErpsLarge Language ModelsOauth 2.0Retrieval-Augmented GenerationSAMLSbcsScimSipVector DatabasesWebrtc

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account