Junior AI
About Junior We're building cutting edge LLM powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of 28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description We've built Junior this far through strong product instincts, speed, and founder intuition, but instinct only gets you so far As our first dedicated data hire, you'll build the analytics foundation that helps us understand what's really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. You won't just be building dashboards. You'll be helping shape how one of the fastest growing AI startups in NYC actually makes decisions. This is a foundational role with massive visibility and ownership. Sample set of projects Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals. Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at risk accounts to Customer Success before they churn. CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up to date context on every account. Sales funnel analysis: map our full acquisition funnel from first touch to closed won, identify where deals are stalling, and surface the product usage patterns that predict conversion. Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business. About You We're looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions: Based in NYC, and excited to be in office 5 days / week Strong data analytics skillset: SQL; Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc); BI or dashboarding tool - Metabase, Looker, Tableau, or similar AI-forward: experience vibe coding and using AI tools Relevant prior experience Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event level data and funnel analysis Experience working directly with CRM or similar data Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non technical, and they'll rely on you to make the numbers make sense Self directed and comfortable with ambiguity - there's no existing data team to hand off to; you'll define the questions as often as you answer them. Why This Role Real ownership: You'll be the first data hire. You're not inheriting legacy dashboards or maintaining old reports - you're building the foundation from scratch. Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision making. Massive upside: We're already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth. Strong business fundamentals: Profitable, bootstrapped, and growing fast - no investor theatre, no fluff, just real traction. Benefits All the usual benefits (competitive pay and equity, private healthcare etc), but also unusual benefits: Incredibly strong equity Gym membership In office cook Summers working in Greece by the beach
About Junior We're building cutting edge LLM powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of 28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description We've built Junior this far through strong product instincts, speed, and founder intuition, but instinct only gets you so far As our first dedicated data hire, you'll build the analytics foundation that helps us understand what's really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. You won't just be building dashboards. You'll be helping shape how one of the fastest growing AI startups in NYC actually makes decisions. This is a foundational role with massive visibility and ownership. Sample set of projects Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals. Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at risk accounts to Customer Success before they churn. CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up to date context on every account. Sales funnel analysis: map our full acquisition funnel from first touch to closed won, identify where deals are stalling, and surface the product usage patterns that predict conversion. Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business. About You We're looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions: Based in NYC, and excited to be in office 5 days / week Strong data analytics skillset: SQL; Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc); BI or dashboarding tool - Metabase, Looker, Tableau, or similar AI-forward: experience vibe coding and using AI tools Relevant prior experience Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event level data and funnel analysis Experience working directly with CRM or similar data Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non technical, and they'll rely on you to make the numbers make sense Self directed and comfortable with ambiguity - there's no existing data team to hand off to; you'll define the questions as often as you answer them. Why This Role Real ownership: You'll be the first data hire. You're not inheriting legacy dashboards or maintaining old reports - you're building the foundation from scratch. Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision making. Massive upside: We're already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth. Strong business fundamentals: Profitable, bootstrapped, and growing fast - no investor theatre, no fluff, just real traction. Benefits All the usual benefits (competitive pay and equity, private healthcare etc), but also unusual benefits: Incredibly strong equity Gym membership In office cook Summers working in Greece by the beach