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NEXTMOVEFDE careers · United States

Director of Product Management

Technologies

Lovable · Replit · LLM-powered applications · workflow tooling · data products · APIs · agentic AI · large reasoning models · benchmark datasets

About Rational Dynamics

Builds customized agentic reasoning models for institutional asset owners, translating their critical knowledge work into rigorous benchmarks and deployable systems.

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Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Deployment strategy · Evidence for this classification:

and data-driven focus that succeeded in the unforgiving, high-stakes setting of financial markets. Job Description We are looking for entrepreneurial researchers and engineers who want to work on cutting edge agentic AI methods and build out a best-in-class core technical infrastructure. Our work environment is highly collaborative. Your colleagues will be accomplished experts in AI/ML, statistics, and systems engineering. As Head of Product / Director of Product Management, you will own the full product lifecycle for Rational Dynamics’ AI products, from customer discovery and rapid prototyping through launch, iteration, and scale. Reporting to the CEO, you will help define how enterprises use AI to transform high-cognitive-complexity workflows, starting with financial services. This is a senior leadership role, but not a purely managerial one. You will be expected to operate as a
More from the job description

The Company Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity. Our initial market is the world’s leading institutional asset owners. We work very closely with these customers to create specialized, rigorous benchmark datasets encompassing their most valuable and difficult knowledge work. Then we use the benchmarks to construct agentic large reasoning models, applying the same rigor to prove that the models correctly do the work. Customers access the models through a tailored application service, making their most skilled, expensive workers dramatically more productive. We are an early-stage startup. Our founders previously started Voleon, now one of the world’s largest systematic investment managers, and recognized as a longstanding industry leader in applied machine learning. They bring to Rational Dynamics the same research discipline and data-driven focus that succeeded in the unforgiving, high-stakes setting of financial markets. Job Description We are looking for entrepreneurial researchers and engineers who want to work on cutting edge agentic AI methods and build out a best-in-class core technical infrastructure. Our work environment is highly collaborative. Your colleagues will be accomplished experts in AI/ML, statistics, and systems engineering. As Head of Product / Director of Product Management, you will own the fu [... source excerpt omitted ...] fine how enterprises use AI to transform high-cognitive-complexity workflows, starting with financial services. This is a senior leadership role, but not a purely managerial one. You will be expected to operate as a hands-on builder: rapidly turning customer problems into working prototypes, pressure-testing ideas with modern AI-native tools, and partnering deeply with engineering and research to convert bespoke solutions into repeatable products. You will lead a team of product leaders, raise the quality of product thinking across the company, and ensure we are building products that create differentiated insight and measurable customer value. Responsibilities Own the end-to- [... source excerpt omitted ...] d rapid prototypes, demos, and workflow experiments using modern AI tools such as Lovable, Replit, and similar platforms to accelerate learning and decision-making Turn ambiguous customer needs and emerging technical capabilities into clear product strategy, priorities, and execution plans Lead and develop a team of product leaders and product managers; set a high bar for judgment, communication, and ownership Partner closely with Engineering, Research, and Forward Deployed teams to transform customer-specific solutions into scalable platform capabilities Drive product prioritization with strong judgment around tradeoffs, sequencing, and business impact rather than process fo

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