Journey to impact: - Month 1: Deliver fast, industry-specific impact. Quickly ramp up on a new client’s financial drivers and industry (pharma, luxury retail, music production,automotive), define &deliver high-value analyses and prototypes using Python and SQL, and present actionable insights to client and internal stakeholders.
- Month 3: Turn insights into product experiences. Own how insights are designed and surfaced in the Aily product across LLM conversations, stories, and playlist-style views. Partner with AI and engineering teams to automate and scale validated analyses into reliable insight pipelines.
- Month 6: Lead cross-industry insight strategy. Become a trusted AI Insights Strategist, able to decode new industries rapidly, define high-impact financial insights, influence best practices and the product roadmap, and communicate strategic recommendations to leadership and clients.
Your profile
We’re looking for a professional at the intersection of business, analytics, and AI, who excels at identifying high-impact insights and ensuring AI drives real business value. You understand client context quickly, ask the right questions, and help translate analysis into productized insights.
● Analytical & technical foundation: Strong hands-on skills in Python and SQL for exploratory and financial analysis. Comfortable working with ML or LLM-based systems and collaborating with AI teams to scale analyses into production.
● Business & financial acumen: Deep understanding of how businesses create and measure value. Able to rapidly become a temporary subject-matter expert in a client’s industry (e.g., pharma, retail, luxury, media) and prioritize insights by impact versus effort.
● Product & insight strategy mindset: Skilled at deciding how and where insights should live in the product across conversational LLMs, narrative stories, or curated views to maximize relevance and adoption.
● Insight-driven problem solver: Curious, pragmatic, and fast-moving. You test assumptions, interpret results critically, and favor simple, explainable solutions when they deliver the most value.
● Communication & collaboration: Clear and persuasive communicator with both technical and non-technical stakeholders. Effective partner to product, engineering, AI teams, and clients.
● Startup mindset & ownership: Comfortable with ambiguity, short client cycles, and cross-industry rotations. Autonomous, proactive, and accountable for delivering outcomes.
● Bonus points: Advanced quantitative background, strong software/data engineering fundamentals, or experience with modern LLMs and agentic systems.
We currently have open positions at all levels, from Junior to Principal.