Lead Product Manager

Dialpad
San Ramon
Workplace: OnsiteFull timeUSD 210,500 - 266,000Function: Product ManagementExperience: 2+ yearsSkills: ["Judgment under uncertainty","Direct communication","Decision-making","Trade-off management"]

Own product direction for Dialpad’s AI model layer—spanning data, training and adaptation, evaluation, release, production monitoring, and improvement or retirement for custom SLMs, the ASR stack, and real-time inference infrastructure. Define data strategy and quality bars, translate ambiguous model-quality questions into decisions, and partner closely with engineering by sitting in eval reviews and incident retros. Make trade-offs across quality, latency, and cost while writing decision memos and specs.

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FursaFursa
Dialpad
Dialpad
1 month ago

Lead Product Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own product direction for Dialpad’s AI model layer—spanning data, training and adaptation, evaluation, release, production monitoring, and improvement or retirement for custom SLMs, the ASR stack, and real-time inference infrastructure. Define data strategy and quality bars, translate ambiguous model-quality questions into decisions, and partner closely with engineering by sitting in eval reviews and incident retros. Make trade-offs across quality, latency, and cost while writing decision memos and specs.
Location: San Ramon
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Sr. Manager level

Key Responsibilities

  • •Own product direction across the full model lifecycle (data, training/adaptation, evaluation, release, monitoring, and improvement/retirement) for custom SLMs, the ASR stack, and real-time inference infrastructure.
  • •Own the underlying data strategy (acquisition, consent and usage rights, sampling, and annotation) and set model-quality inputs before training.
  • •Turn ambiguous model-quality questions into measurable decisions on what ships.
  • •Participate as a peer in eval reviews, error analyses, and incident retros, forming hypotheses from failing conversation traces.
  • •Make trade-offs across model quality, latency, cost, and deployment choices; write decision docs and manage release/rollback and roadmap sequencing.

Pay and Benefits

Salary: USD 210,500 - 266,000

Key Requirements

  • •Built or run models in production (trained, fine-tuned, served, or optimized), ideally for speech or real-time constraints.
  • •2+ years of product ownership with accountability for what got built and whether it worked.
  • •Fluency across the model and serving stack, including eval design and trade-offs such as fine-tune vs. train/distill and quantization/serving.
  • •Judgment under uncertainty—commit to outcomes while recognizing probabilistic model behavior.
  • •Direct communication—make and defend decisions in writing.
Experience:2+ yearsAIMachine learningSpeechReal-time inference
Skills:Judgment under uncertaintyDirect communicationDecision-makingTrade-off management
Languages:English
Tech Stack:SLMsASRInference infrastructureEvalsLatency budgetsGPU costFine-tuningQuantizationWERReal-time inferenceStreaming latencyError analysisIncident retrospectives

Company Brief

Dialpad
Provides cloud-based business communications platform offering voice, video, messaging, contact center, and AI-driven call intelligence to help teams communicate and collaborate across devices and locations.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn