Customer Success Engineer

Customer Success Engineer

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This range is provided by Dialtone (YC S23). Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.

$/yr - $/yr

Dialtone is building the platform layer for enterprise-grade agentic AI
. Our stack spans real-time orchestration, retrieval-augmented reasoning, dynamic tool calling, and human-in-the-loop oversight - all delivered as production SaaS. Enterprises rely on Dialtone Agents to automate thousands of hours of cross-system work each month.

We’re not just gluing APIs together; we’re inventing deeply technical infrastructure that makes large-language-model reasoning reliable, observable, and secure at scale.

• Solution architecture:
  Partner with customers to map business workflows to Dialtone’s agent platform. Design integrations, data flows, and human-in-the-loop checkpoints that meet reliability, security, and compliance needs.
• Hands‑on implementation:
  Build custom connectors, prompt templates, and evaluation harnesses in Type Script / Python. Stand up QA pipelines and performance dashboards that prove success.
• Technical project ownership:
  Drive projects from discovery to production launch. Coordinate with customer engineering, security, and ops teams while looping back insights to Dialtone’s product and core engineering groups.
• Best‑practice evangelism:
  Create reference architectures, sample repos, and internal playbooks so future deployments move faster.
• Rapid feedback loop:
  Test new platform features in the wild, debug edge cases, and influence the roadmap with real‑world requirements.

• Have 3‑8 years delivering production software or solutions architecture for enterprise customers.
• Are fluent in Type Script / Node.js / Python – bonus for Go or Rust – and comfortable writing Terraform or Pulumi when infra needs it.
• Have deployed distributed systems: queues, event buses, or data pipelines that process millions of events daily.
• Thrive at whiteboarding with customers, translating fuzzy requirements into crisp technical specs and shipped code.
• Understand the nuances of security reviews, SOC2, and enterprise SSO/SCIM rollouts.
• Communicate clearly with both execs and engineers – written design docs are your default, not an afterthought.

• Prior experience with LLM or agentic frameworks (Lang Chain, DSPy, ReAct).
• Contributions to open‑source integration tooling, SDKs, or CLIs.
• Familiarity with ERP, CRM, or data‑warehouse ecosystems (SAP, Snowflake, Databricks).

• Front‑row seat to AGI‑era systems – deploy agents that reinvent how enterprises work.
• High leverage – customer‑facing autonomy plus direct influence on core product.
• Competitive comp + meaningful equity – you win when the company wins.
• Work style – Onsite in Mountain View, CA.
• Hardware stipend
• Full health/vision/dental
• 401(k) match
• Unlimited PTO.

Mid‑Senior level

Full‑time

Management and Manufacturing

Technology, Information and Internet

Join us to bring agentic automation from concept to production – one transformative deployment at a time. 🚀