Senior Product Manager

Storm2; San Francisco (CA); Presencial; USD 160.000 - 230.000; Jornada completa

Descripción de la vacante

Storm2 is a fast-growing FinTech in San Francisco using AI to transform how complex financial products are distributed and serviced.

The Senior Product role is an individual contributor position with ownership across a core area of the business, spanning customer-facing product, internal tooling and AI. You’ll define direction, work with engineering, and own the metrics that matter for growth and efficiency.

Formación

• Own a substantial product area end-to-end.
• Move meaningful business metrics, not just roadmaps.
• Define direction when problems are ambiguous.
• Hands-on experience with AI products in production (LLMs, workflow automation).
• Experience evaluating probabilistic systems and experiments.

Responsabilidades

• Own the product strategy and roadmap for a core area of the business.
• Set and own metrics across growth, customer experience and operational efficiency.
• Identify where AI can automate complex workflows.
• Collaborate with engineering to move AI products from prototype to production.
• Build evaluation loops around model performance.
• Turn messy domain knowledge into scalable product decisions.
• Spend time with users and internal stakeholders rather than relying on second-hand requirements.
• Make cross-boundary decisions across customer experience, internal tooling, and automation.
• Prioritize aggressively to focus on value.

Conocimientos

Ownership of product area

AI product experience

Product judgment

Technical depth for architecture talks

Edge-case handling

Herramientas

LLMs

Descripción del empleo

Our client is a fast-growing FinTech using AI to rethink how complex financial products are distributed and serviced.

They’ve reached the point where some of the hardest product problems aren’t about shipping more features. They’re about taking complicated, judgement-heavy processes and turning them into systems that can make good decisions consistently, at scale.

The Role

This is a senior individual contributor role with a lot of ownership.

You’ll take responsibility for a meaningful area of the business, working across customer-facing product, internal tooling and AI. The expectation isn’t that you manage a backlog handed down from leadership. You’ll work out where the real constraint is, set the product direction, get close enough to the underlying operation to understand the edge cases, and own the numbers that tell you whether it’s working.

A big part of the challenge is figuring out where AI is genuinely better than the existing process and where it isn’t. That means being rigorous about evaluation, comfortable getting into the weeds with engineering and willing to rethink the workflow itself rather than simply layering AI onto it.

What you'll be working on:

• Own the product strategy and roadmap for a core area of the business.
• Set and own the metrics that matter across growth, customer experience and operational efficiency.
• Identify where AI can materially improve or automate complex workflows.
• Work closely with engineering to take AI products from prototype through to reliable production systems.
• Build strong evaluation and feedback loops around model performance.
• Turn messy domain knowledge and customer behaviour into scalable product decisions.
• Spend time with the people using the product internally and externally, rather than relying on second-hand requirements.
• Make decisions across customer experience, internal tooling and automation where those boundaries overlap.
• Prioritise aggressively. There will be considerably more that could be built than should be built.
• Help set the standard for how product operates as the company scales.

What you'll bring:

• Experience owning a substantial product area end-to-end, ideally in FinTech, AI, B2B software or another operationally complex environment.
• A track record of moving meaningful business metrics, not simply delivering roadmaps.
• Strong product judgement and the confidence to define direction when the problem is ambiguous.
• Hands-on experience with AI products in production, particularly LLMs, agents, workflow automation or decision-support systems.
• A strong understanding of evaluation, experimentation and the realities of shipping probabilistic systems.
• Enough technical depth to have detailed conversations with engineers about architecture, data, models and product trade-offs.
• Experience building products around complex workflows where edge cases matter.
• Comfortable operating directly with senior leadership while staying close to users and the detail.
• Startup or scale-up experience would be useful.
• Experience in financial services or another regulated industry is a plus, but not required.