Senior Director of AI, R&D – Agentic Systems
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Job Description
Senior Director of AI overseeing orchestration of AI tools at QuillBot. Leading AI R&D and Applied AI teams under the direction of executive leadership.
Responsibilities:
- Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces, proving the orchestration architecture under real user load
- Make high-conviction technical bets on the model stack, compute strategy, and agent execution model, with written rationale that the org can build against
- Own the technical point of view on which ICP verticals and workflows justify agentic investment, and drive that conviction into AI, product, and engineering planning
- Inherit and reshape the AI org to match the velocity and scope of what we're building, including hiring where gaps exist
- 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, enabling product surfaces to be machine-readable and executable
- Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities
- Build on QuillBot’s existing strengths in NLP while extending into new modalities to create differentiated product experiences
- Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production
- Own system reliability and performance of the AI stack serving tens of millions of users worldwide
- Balance system performance, latency, and cost through informed decisions on compute economics and architecture
- Build and lead an integrated AI organization spanning R&D and Applied AI teams
- Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions
- Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards
- Raise the quality bar across the organization, acting as a force multiplier for team performance and execution
- Architect the team's operating model around AI-native workflows, using automated pipelines, code generation, and internal tooling to achieve output disproportionate to headcount.
Requirements:
- Experience building and shipping agentic systems or orchestration platforms in production at meaningful scale, not prototypes or research demos
- Distributed Agency: deep expertise coordinating diverse agent populations (plan-based, scripted, and hybrid) within stateful environments, including task decomposition, intent routing, and multi-step execution
- State & Persistence: proven ability to design and operate systems that maintain sustained, context-aware agency across multi-session and multi-domain workflows
- Compute Economics: ability to optimize sophisticated planning logic against the constraints of latency, unit economics, and reliability at consumer scale
- Background in NLP and/or multimodal AI (text and image preferred), with the ability to guide applied research, evaluate model architectures, and make binding technical decisions on model strategy across proprietary and third-party ecosystems
- Proven leadership of both AI R&D and Applied AI/MLOps teams within consumer product environments serving millions of users
- Track record of scaling AI systems and infrastructure from early-stage builds (0→1) into high-scale production (1→10), not just inheriting mature platforms
- Forms strong technical opinions quickly, updates them based on evidence rather than consensus, and translates AI capabilities into product direction and business impact
- Has built or reshaped AI organizations to match the demands of a rapidly evolving technical mandate, including hiring, restructuring, and raising the performance bar
- Drives alignment across Engineering, Product, and executive stakeholders through technical credibility and strategic clarity, not positional authority
- Operates effectively across global distributed teams and time zones.
Benefits:
- Competitive salary and annual bonus
- Medical coverage, including full dental and vision
- Retirement savings plans
- Life and disability benefits
- Vacation & leaves of absence
- Annual family planning stipend
- Social responsibility program (volunteer time off and donation matching)
- Developmental opportunities through education & developmental reimbursements & professional workshops
- Maternity & parental leave
- Hybrid & remote model with flexible working hours
- On-site & remote company events throughout the year
- Annual wellness stipend
- Monthly tech stipend
- Employee referral program
- Premium access to QuillBot
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