Senior Product Manager

Applecart•New York, NY

3d•$160,000 - $190,000•Hybrid

About The Position

Applecart is hiring a Senior Product Manager to own its Decision Maker Networks platform, including the harness, architecture, and tooling used by Data Science. The platform supports proprietary models and scoring algorithms that map relationships between decision makers and people they trust. The quality and differentiation of these networks help determine the precision of audiences delivered to clients. The Senior Product Manager will set the platform roadmap and requirements, establish standards for model evaluation, and build tools that let data scientists, Research Operations, and client-facing teams tune networks with appropriate guardrails. The role combines product judgment, customer and business insight, and fluency in algorithmic products. It involves working closely with data scientists, engineers, platform users, and clients to discover needs, prototype solutions, and make platform outputs useful and understandable to those who depend on them. This is a hybrid role based in the New York City area. Employees work from home on Mondays and Fridays and from Applecart’s New York City office Tuesday through Thursday. Relocation assistance is not available; candidates must already be in or independently relocate to the area. Compensation includes base salary, annual cash bonus, and equity. The base salary range is $160,000–$190,000 for candidates in the New York City area, based on experience and skills; the stated range excludes bonus and equity.

Requirements

At least 5 years of Product Management experience.
A significant track record designing and shipping data, machine-learning, or algorithmic products.
Ability to connect modeling decisions to the experience of Fortune 50 C-suite or private-equity corporate affairs leaders and prioritize platform work based on that impact.
Design-led approach to building clear, usable technical tools for data scientists and analysts.
Experience partnering with Data Science to ship products whose value centers on a model, score, or ranking.
Ability to deliver client value from probabilistic systems and make their behavior legible to users who rely on them.
A platform mindset focused on enabling other teams to ship, building self-service capabilities, and maintaining quality through standards and tests.

Responsibilities

Own the roadmap and requirements for the Decision Maker Networks platform.
Lead an empowered team of data scientists and engineers, bringing together problems, customer insight, and business context to find solutions.
Refine and evolve platform standards and assessments to raise the evaluation bar.
Spend time with platform users and clients to discover needs, and prototype and test tooling before committing engineering effort.
Define how networks evolve and are shaped, and how the scoring platform leverages those advancements.
Design tools and interfaces that give data scientists, Research Operations, and client-facing teams appropriate controls and guardrails for tuning Decision Maker Networks.
Make the platform extensible so data scientists can experiment easily.
Own the business logic and the testing and evaluation harness used by Engineering and Data Science to build networks.
Manage platform launches, define and track success KPIs, and communicate releases regularly to stakeholders throughout the company.