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Senior Director of AI, R&D & Agentic Systems

1 hour, 48 minutes ago
United States
Full-time
Lead
AI Research Scientist
Artificial Intelligence and Machine Learning
Machine Learning MLOps NLP
Apply Now
QuillBot

QuillBot

QuillBot provides AI-powered writing tools like a paraphraser, summarizer, and grammar checker to help users craft sentences, improve fluency, and overcome writer's block.

Internet Software & Services
51-250
Founded 2017
$4M raised
View All Jobs 7

Description

  • Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot’s product surfaces.
  • Define how agentic systems plan, coordinate, and execute workflows across a multi-surface application suite.
  • Establish standards for agent-native infrastructure so product surfaces are machine-readable and executable.
  • Lead research and development across text and multimodal AI, with an initial focus on text and image capabilities.
  • Guide model strategy decisions across proprietary and third-party systems, balancing capability, cost, and shipping velocity.
  • Drive the shipping cadence for model updates, MLOps, and data pipelines in high-scale production.
  • Own system reliability, performance, latency, and compute economics for the AI stack serving tens of millions of users.
  • Build and lead an integrated AI organization spanning AI R&D and Applied AI teams.
  • Partner with the VP of AI and senior leadership to define technical direction and evaluate platform-level trade-offs.
  • Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards.
  • Raise the quality bar across the organization and improve team performance through stronger operating models and internal tooling.

Requirements

  • Experience building and shipping agentic systems or orchestration platforms in production at meaningful scale.
  • Deep expertise coordinating diverse agent populations within stateful environments, including task decomposition, intent routing, and multi-step execution.
  • Proven ability to design and operate systems that maintain context-aware agency across multi-session and multi-domain workflows.
  • Ability to optimize planning logic against latency, unit economics, and reliability constraints at consumer scale.
  • Background in NLP and/or multimodal AI, with text and image preferred.
  • Proven leadership of both AI R&D and Applied AI/MLOps teams in consumer product environments serving millions of users.
  • Track record of scaling AI systems and infrastructure from 0→1 into high-scale production.
  • Ability to form strong technical opinions quickly, update them based on evidence, and translate AI capabilities into product and business impact.
  • Experience building or reshaping AI organizations, including hiring, restructuring, and raising performance standards.
  • Ability to drive alignment across Engineering, Product, and executive stakeholders through technical credibility and strategic clarity.
  • Experience operating effectively across global distributed teams and time zones.
  • Bonus: experience with agent-to-tool communication frameworks or emerging standards such as MCP or agent SDKs.
  • Bonus: contributions to peer-reviewed research or involvement in the broader AI research community.
  • Bonus: experience with browser-based or edge compute environments such as WebGPU.
  • Bonus: background in creative, productivity, or prosumer software platforms.
  • Bonus: experience in founder-led or highly entrepreneurial environments.

Benefits

  • Competitive salary and annual bonus.
  • Base salary range of $249,000–$421,000 in California and New York, $249,000–$378,000 in Massachusetts and Washington, $249,000–$337,000 in Minnesota and New Jersey, $218,000–$337,000 in Colorado and Illinois, and $218,000–$294,000 in Vermont.
  • Equity may be included in total compensation.
  • Medical coverage, including full dental and vision.
  • Retirement savings plans.
  • Life and disability benefits.
  • Vacation and leaves of absence.
  • Annual family planning stipend.
  • Volunteer time off and donation matching through a social responsibility program.
  • Education and developmental reimbursements plus professional workshops.
  • Maternity and parental leave.
  • Hybrid and remote work model with flexible working hours.
  • Annual wellness stipend.
  • Monthly tech stipend.
  • Premium access to QuillBot.

Interested in this position?

Apply directly on the company website

Apply Now

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