Director – Forward Deployed Engineering

Genesys

. Build, coach and scale a Forward Deployed Engineering team of approximately five engineers .

Posted 11/2/2026full-timeRemote • United StatesLead💰 $163,100 - $286,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading Forward Deployed Engineering teams, with a strong focus on AI-native development, software engineering, and customer engagement. Proven ability to establish engineering standards, drive prototype-to-production processes, and translate complex AI architectures into measurable business outcomes.

Highest-signal resume keywords

Team LeadershipAI-Native DevelopmentSoftware EngineeringCustomer EngagementPrototype-to-Production

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptJavaREST APIsGitCloud ArchitectureLLMsAgentic AIData IntegrationAPI Integration

Soft Skills

Stakeholder ManagementStorytellingWorkshop FacilitationHigh OwnershipBias For Action

Tools & Technologies

AWSCoding AgentsEvaluation PipelinesOperational HandoffsEngagement Models

Industry Keywords

Forward Deployed EngineeringSolutions ArchitectureTechnical ConsultingEnterprise Sales CyclesConversational AI

Tech Stack

Tools & technologies

AWSCloudJavaJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build, coach and scale a Forward Deployed Engineering team of approximately five engineers
Set goals, career paths, feedback cycles and a culture of ownership, accountability and customer focus
Establish engineering standards for code, prompts, agent design, testing, evaluation and production readiness
Build staffing models and assign FDE talent to high-value engagements
Hire, onboard, coach and retain Forward Deployed Engineers
Own delivery from use case through prototype, live test, production and optimization
Partner with Sales, Account Teams, Pre-Sales, FDE leaders and Customer Success to prioritize AI use cases and define measurable outcomes
Serve as escalation point for key engagements and build relationships with customer CIO, CTO, digital and CX leaders
Drive prototype-to-production conversion through KPIs, readiness frameworks, evaluation pipelines, guardrails and operational handoffs
Create repeatable delivery methodologies, playbooks and engagement models
Package skills, agents, prompts, integrations, evaluations and deployment patterns into reusable assets and reference architectures
Champion AI-native development and adoption of coding agents such as Cursor, Claude Code and Kiro
Contribute to lighthouse AI wins and referenceable customer stories
Turn field learnings into product requirements and influence the Product and Engineering roadmap
Collaborate on engagement triggers, target accounts, scoping, positioning and expansion opportunities
Align strategy with leaders across FDE, Pre-Sales, AI Architecture and Services
Establish metrics and executive reporting for time-to-value, deployment milestones, adoption, satisfaction, AI-influenced ACV, asset reuse and utilization
Contribute to commercial and IP considerations for co-developed solutions
Review architectures and step into critical customer moments when needed

Requirements

What you’ll need

5+ years leading customer-facing technical teams such as forward deployed engineering, solutions architecture, pre-sales engineering, technical consulting or professional services
Experience standing up a new team or service line strongly preferred
Proven ability to attract, develop and retain senior technical talent
Experience operating in highly matrixed, customer-facing enterprise organizations and aligning Sales, Product, Engineering and Services
Demonstrated innovation leadership and ability to create repeatable processes
Strong hands-on background in software engineering
Working proficiency in Python, TypeScript/JavaScript, Java or equivalent
Experience with REST APIs, Git and modern cloud architectures such as AWS
Practical depth in LLMs and agentic AI, including prompting, tool calling, orchestration, retrieval-augmented generation, grounding, evaluation, guardrails and observability
Experience taking AI or software solutions from prototype to production, including enterprise systems, data and API integrations
Familiarity with AI-native development environments and coding agents
Genesys, CX, contact center or conversational/voice AI expertise valuable but not required
Ability to translate complex AI architectures into business outcomes and measurable ROI
Strong storytelling, workshop facilitation and stakeholder management skills
Understanding of enterprise sales cycles, value-based positioning and technical delivery’s impact on adoption, renewal and expansion
Ability to balance customer success investment with commercial discipline and prioritize in ambiguity
Bias for action, high ownership and strong sense of urgency
Regular travel to customer sites and team events as required by engagements

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off
10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
Paid volunteer time
August Free Fridays
Well-being resources
Regionally tailored programs for employees and their families
Mentorship, learning programs, leadership development and education support