Engineering Manager, Research

Decagon
San Francisco, New York
Workplace: OnsiteFull timeUSD 280,000 - 430,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Ownership","Technical judgment","Communication","Coaching","Experimental rigor"]

Lead and grow a research team building the model and decision-making stack behind conversational AI agents for enterprise support. Own the technical roadmap across post-training, evaluation, safety, speech, and agent behavior—turning ambiguous research into rigorous programs with measurable production impact. Partner cross-functionally to ship reliable model rollouts, set high standards for experimental quality and reproducibility, and stay close to technical work through architecture and experiment reviews.

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FursaFursa
Decagon
Decagon
1 day ago

Engineering Manager, Research

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead and grow a research team building the model and decision-making stack behind conversational AI agents for enterprise support. Own the technical roadmap across post-training, evaluation, safety, speech, and agent behavior—turning ambiguous research into rigorous programs with measurable production impact. Partner cross-functionally to ship reliable model rollouts, set high standards for experimental quality and reproducibility, and stay close to technical work through architecture and experiment reviews.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key Responsibilities

  • •Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development
  • •Own the technical direction and roadmap for your area, prioritizing high-leverage investments across models, evaluation, safety, speech, and agent systems
  • •Turn open-ended research directions into focused programs with clear hypotheses, milestones, decisions, and production-impact measures
  • •Stay close to technical work through architecture and experiment reviews, debugging, and individual contribution
  • •Set a high bar for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts, while partnering cross-functionally to move research into production

Pay and Benefits

Salary: USD 280,000 - 430,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceRetirementParental LeaveMonthly StipendMeal AllowancePaid Leave

Key Requirements

  • •5+ years building machine-learning systems involving language models, speech, agents, or model infrastructure
  • •1+ years of people management experience with a strong individual-contributor background
  • •Deep experience post-training, evaluating, deploying, or serving foundation models at scale
  • •Strong technical judgment and ability to translate ambiguous research ideas into measurable product outcomes
  • •Experience hiring, coaching, and developing technical talent across research, engineering, product, and executive stakeholders
Experience:Machine learningConversational AILanguage modelsSpeechAgentsFoundation modelsEnterprise software
Skills:OwnershipTechnical judgmentCommunicationCoachingExperimental rigor

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor