Software Engineer (Agentic Systems) at Dialpad
San Francisco, CA
$176,000–$209,000
Jul 28, 2026
San Francisco, CA
Jul 29, 2026
What this job asks for AI summary
A senior technical leadership role at Dialpad focused on architecting and building a next-generation agentic AI platform — including multi-agent orchestration, real-time voice/conversational reasoning, memory architectures, and enterprise workflow automation. The ideal candidate has deep distributed systems experience that has evolved into hands-on LLM and agentic AI platform work, and can both set technical direction and mentor a small team of engineers.
Staff level · 10+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 85 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 20–130
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $190,744 (middle half $167,095–$224,501).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title is not given in the posting; the role is framed as a 'core technical leader' reporting to a Senior Director of Engineering with the ability to 'lead and grow a small group of engineers.' This people-management element creates genuine ambiguity between a Staff/Principal IC and an Engineering Manager (11-3021). However, the dominant emphasis is on hands-on architecture, system design, and technical execution, so Software Developers (15-1252) was chosen as primary.
The posting references prior track record as 'Staff, Senior Staff, or Principal Engineer,' which anchors the seniority at Staff level despite no explicit level in the title.
Agent frameworks (LangChain/LangGraph, CrewAI, AWS/Google Agent ecosystems) are listed under the required skills section. AWS and Google Cloud appear specifically as agent ecosystem providers rather than general cloud platforms, so they are marked preferred to reflect that the hard gate is on agent framework experience broadly, with those ecosystems as named examples.
No compensation figures are stated in the posting.
The posting mentions the role 'has the opportunity to be based in our San Francisco office,' implying office-based or hybrid rather than fully remote.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): LLM inference optimization, multi-agent orchestration.
Read the full posting
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