Head of Fundamental Investor Products

. Set the strategy for Apptopia’s fundamental investor business and own its roadmap and research agenda .

Posted 9/25/2026full-timeRemote • United StatesLeadWebsite

Tools & technologies

SQL

Key responsibilities & impact

Set the strategy for Apptopia’s fundamental investor business and own its roadmap and research agenda
Determine target sectors, product priorities, data requirements, and what not to build
Define problems, users, success criteria, and priority order for the team
Set the research agenda with data science, including signals, questions, and deliverables
Establish and apply validation standards such as growth-on-growth fit, out-of-sample testing, lead time before earnings, and performance against consensus
Identify sectors where mobile usage is important to investors and start from buy-side questions
Sponsor new data points including transaction and subscription metrics, payer identification, demographic cohorts, and engagement cohorts
Decide what to build from the panel versus what to license based on investment impact
Partner with data science, engineering, Sales, CS, Marketing, Research, and Partnerships
Engage regularly with customers through analyst calls, win/loss reviews, and churn reviews
Convert customer feedback into roadmap decisions
Measure strategy impact and report performance to the executive team and board
Report directly to the Chief Product Officer

What you’ll need

10+ years of product management experience, with a track record of owning a product line or business rather than a feature set
Experience setting direction that a team executes
Fluency with how a fundamental investor works: how a model is built, what a reported KPI is, why consensus matters, and what happens in the weeks before a print
Experience with alternative data, market data, or another data product sold into financial services, ideally including both an application and a raw feed or API
Proven cross-functional influence across research, engineering, sales, and marketing
Quantitative comfort: ability to work in SQL and notebooks, read a regression, and distinguish predictive signals from correlation
Judgment about data honesty and ability to determine when data is sufficiently reliable to claim
Experience turning complex data into products a non-expert can use, including AI and agent-driven surfaces
Experience using customer and usage data to understand behavior and improve prioritization
Ability to reach objectively good negotiation results efficiently while maintaining relationships
Creative and analytical thinking, strong problem-solving skills, and meticulous attention to detail
Apptopia is not able to provide visa sponsorship at this time

Comp & perks