- Lead, develop, and grow the Rowan engineering team, setting a high bar for technical judgment, product quality, customer trust, and steady execution.
- Partner with product leadership to translate Rowan’s strategy into engineering plans and shipped capabilities.
- Stay close to the full Rowan experience: conversational interfaces, orchestration, memory, app surfaces, and safety models.
- Help the team build agentic capabilities that do consistent, correct, and reliable work end-to-end.
- Drive projects to conclusion by making decisions, clearing blockers, aligning stakeholders, and shipping high-quality work.
- Build systems that make AI work dependable: eval frameworks, observability, human-in-the-loop workflows, and clear ownership.
- Partner closely with Product, Design, Data, Operations, and other teams to choose the highest-leverage bets and make tradeoffs.
- Create a team environment for senior engineers to stretch across product, AI, systems, operations, and trust.
- Hold regular 1:1s, deliver performance reviews, and build individualized growth plans for team members.
- Help raise the product bar beyond chat toward proactive, rewarding, trustworthy experiences.
- Stay curious about AI engineering and help the team adopt new workflows, tools, and patterns.
Requirements
- Experience shipping production agentic software and a strong track record leading engineering teams, including senior ICs working in complex or ambiguous domains.
- An engineer who leads engineers; able to set direction and grow people while staying close to the work.
- Strong product judgment; able to reason from customer need to product experience to technical architecture.
- Excited by AI as an execution layer; understand that real customer value comes from orchestration and workflows.
- Hands-on or deeply practical familiarity with LLM applications, agentic systems, and workflow orchestration.
- High bar for quality and trust; comfortable slowing down to ensure accuracy.
- Comfortable driving outcomes in ambiguity.
- Ability to explain the why, create alignment, and give engineers enough context to make good local decisions.
- Tenacious learner; engaged with what is changing in AI and team workflows.
- Energized by continuous improvement; notices and addresses workflow pain points.
- Technical depth and range across backend services, product surfaces, data systems, or consumer fintech products.
- Comfortable with urgency without being reckless.
Core Competencies
Demonstrates strong leadership in engineering team development, with a focus on AI applications, product quality, and effective collaboration across teams. Capable of driving projects to completion while fostering a culture of continuous improvement and technical excellence.
Highest-signal resume keywords
- Engineering Team Leadership
- AI Application Development
- Product Judgment
- Workflow Orchestration
- Backend Services Expertise
ATS Optimization Keywords
Hard Skills
- Agentic Software Development
- LLM Applications
- Workflow Orchestration
- Backend Services
- Data Systems
- Consumer Fintech Products
Soft Skills
- Decision-Making
- Team Development
- Communication
- Continuous Improvement
- Curiosity
Industry Keywords
- Product Quality
- Customer Trust
- Technical Architecture
- Execution Layer
- Performance Reviews
Tools & Technologies
- Eval Frameworks
- Observability Tools
- Human-in-the-Loop Workflows