[Remote] Engineering Leader

Note: The job is a remote job and is open to candidates in USA. Rational Dynamics builds customized AI reasoning systems for high-cognitive-complexity work, beginning with institutional finance. They are hiring an Engineering Leader to manage a multidisciplinary team of engineers and scientists, overseeing the development of agentic AI systems and ensuring the delivery of high-quality solutions that meet customer needs.

Responsibilities

• Lead, coach, and scale a high-performing team of engineers and scientists; initially as a line manager, with scope to manage managers as the organization grows
• Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration
• Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving
• Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps
• Build operating mechanisms that help the team move fast without unnecessary process: crisp priorities, clear ownership, fast feedback loops, and disciplined execution
• Raise the engineering bar for reliability, observability, security, compliance, and deployment quality in high-consequence enterprise environments
• Recruit, develop, and retain exceptional technical talent; create a culture where engineers and scientists do their best work
• Model RD’s tenets: continuously delight customers, remove bottlenecks, disagree and commit, take ownership of every problem, prototype rapidly, and stay at the leading edge

Skills

• Significant experience leading engineering teams that ship production software in complex, ambiguous environments
• Demonstrated ability to manage strong technical ICs, including engineers and/or applied scientists
• Hands-on experience building with modern AI systems, such as: agents, RAG, tool use, workflow orchestration, evaluations, LLM applications, or adjacent systems
• Strong product and customer judgment: you can identify what customers truly need, not just what they initially ask for
• Enterprise-grade engineering instincts, including security, data boundaries, observability, deployment, and operational reliability
• Founder-like ownership: high agency, low ego, bias for action, comfort with ambiguity, and willingness to take on whatever matters most
• Clear communication and strong judgment under pressure; able to debate hard, align quickly, and execute
• Experience at an early-stage startup or as an early technical leader scaling a product from 0→1 or 1→N
• Experience managing managers or building the structure for a growing engineering organization
• Experience with enterprise customers in regulated or high-consequence industries such as finance, healthcare, defense, or infrastructure
• Experience leading teams that combine research, applied ML, infrastructure, and product engineering
• Familiarity with customer-deployed systems, multi-cloud or customer-cloud environments, security reviews, and compliance requirements

Company Overview