Product Manager - Sales AI

About the role

You will own the end-to-end definition and execution of the AI-powered sales transformation for our global insurance operations. This role requires you to deeply understand the complex sales workflows of health insurance and reimagine them with an AI-first lens. You will be the primary owner of the Sales AI product line, responsible for turning high-level business ambitions into concrete, shipped product capabilities. You will act as the connective tissue between data scientists, engineers, sales leadership, and frontline sales teams to ensure the product solves real, high-value problems. You will measure success not just by feature delivery, but by tangible improvements in sales efficiency and win rates. Ultimately, you will drive the adoption of AI across the sales funnel, ensuring Alan remains a leader in innovation within the health insurance sector.

Key facts

What you'll do

• Redefine the sales workflow by replacing static toolkits with an adaptive AI assistant that acts as a proactive partner for Account Executives.
• Architect the roadmap for Sales AI, making strategic decisions on which automation features to prioritize for maximum impact on win rate.
• Translate complex sales challenges into clear product requirements that guide engineering and design teams toward a unified user experience.
• Dive into the "engine room" by writing prompts, integrating connectors, and evaluating model outputs to ensure the AI delivers accurate and actionable insights.
• Synthesize knowledge from offers, content libraries, and market signals to empower sales reps with sharper, faster, and more relevant proposals.
• Partner closely with AI product teams in adjacent verticals to maintain a coherent and integrated user experience across the entire platform.
• Drive quantifiable outcomes by minimizing low-value administrative tasks and maximizing the time spent on high-impact selling activities.
• Own the metrics for success, focusing on key indicators such as sales cycle length, win rate, and rep productivity gains.
• Collaborate with sales effectiveness teams to run experiments, analyze results, and continuously iterate on the AI features.
• Act as the expert voice for the sales organization, ensuring that the product vision aligns with the realities of the field.

Requirements

• Possess a minimum of 5 years in a product management role (or equivalent product ownership) in a fast-paced, high-autonomy environment, ideally with AI or agentic products. Seniority matters here: the scope is exploratory and not fully defined yet.
• Demonstrate genuine excitement for AI. You have built AI products, or you are deeply eager to learn how LLMs work and how to apply them to complex enterprise problems.
• Have a proven track record of owning and launching complex products that involve multiple stakeholders and technical dependencies.
• Show strong analytical skills, with the ability to break down messy problems into structured hypotheses and measure impact.
• Exhibit excellent written and verbal communication skills to influence without authority and align cross-functional teams.
• Bring comfort with ambiguity and the ability to make decisions in a fast-moving, high-growth startup environment.
• Have experience working with sales operations or sales technology tools, understanding the needs of enterprise sales teams.
• Be willing to engage in hands-on work, including prompt engineering and close collaboration with engineering teams to debug and improve model outputs.

Practical notes

The role is based in France, with potential locations in Paris, Lyon, Marseille, and Bordeaux. The engagement is full-time, and the candidate must be willing to work within the French market context. There is no specified compensation range listed in the source material, and therefore no pay details are included on this page. Travel is not required beyond standard local collaboration, and the standard work visa regulations for France apply to international candidates. The posting does not include a specific application deadline, so candidates should apply as soon as possible to be considered for this high-impact role in shaping the future of AI-driven sales in healthcare.