2 months ago
Base Salary
$112k - $172k/yr
Responsibilities
- Convert prioritized use cases and pre-sales assumptions into delivery scope, technical plans, and phased implementation approaches.
- Map customer workflows, exceptions, approvals, escalations, and human-in-the-loop controls with technical and operational stakeholders.
- Design and build customer-specific AI agents using orchestration logic, prompt architecture, retrieval flows, workflow rules, and decision logic.
- Implement integrations with customer data sources, APIs, SaaS platforms, CRMs, ERPs, and enterprise knowledge systems.
- Develop evaluations, guardrails, and acceptance criteria for usefulness, reliability, safety, task success, and production readiness.
- Conduct iterative testing, failure analysis, and performance tuning for quality, groundedness, latency, cost, and operational effectiveness.
- Prepare solutions for production through access controls, observability, rollout sequencing, exception handling, fallback behavior, and support readiness.
- Lead go-live and first-shift stabilization, including issue resolution, workflow adjustments, and customer-facing hypercare.
- Document implementation patterns, runbooks, failure modes, and improvements, and share field learnings with Product, Engineering, and transformation teams.
Requirements
- Experience in a customer-facing technical role such as Forward Deployed Engineering, Solutions Architecture, Technical Consulting, Deployment Engineering, or AI-focused SaaS implementation.
- Hands-on experience building and deploying AI, LLM, or agentic systems in production.
- Working knowledge of LLMs, prompt engineering, retrieval systems, vector databases, evaluation methods, and agent orchestration frameworks.
- Proficiency in Python, JavaScript/TypeScript, Go, or similar languages for integrations, middleware, and production deployment.
- Experience with APIs, enterprise integrations, and workflow automation across customer environments.
- Ability to turn ambiguous business objectives and standard operating procedures into shippable technical solutions.
- Strong customer communication skills and the ability to explain trade-offs, risks, timelines, and technical concepts to technical and non-technical stakeholders.
- High ownership, sound judgment under ambiguity, attention to detail, and a bias toward action and measurable outcomes.
Benefits
- Competitive base salary and comprehensive benefits.
- Opportunities for growth, robust training, and cutting-edge AI tools.
- Inclusive offices designed to support collaboration and connection.
- Equal-opportunity workplace with a culture recognized as a Great Place to Work.
Tech Stack
Categories
Forward Deployed
About Dialpad
Dialpad builds a cloud communications platform for businesses that unifies VoIP calling, video meetings, messaging, and AI-enabled contact center and sales tools. It sells subscription SaaS for business phone systems, collaboration, and customer support, including live transcription, analytics, and agent assist. Founded in 2011 and headquartered in San Ramon, California, the privately held company serves enterprises across industries, with customers such as Netflix and Randstad.