Senior Product Manager: Decision Maker Networks (Hybrid)

Applecart

New York (NY)

Hybrid

USD 160,000 - 190,000

Full time

14 days+

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Job summary

Applecart is hiring a Senior Product Manager to own the Decision Maker Networks platform—the rails, architecture, and tooling that Data Scientists build atop. You’ll own the scoring models, set quality standards, and ensure the platform meets client needs.

The role blends strong product judgment with fluency in algorithmic products, and requires shaping networks to fit strategic client contexts, with hybrid work from NYC office and remote days.

Qualifications

  • 5+ years of experience in Product Management, with a track record designing and shipping data/ML products.
  • Ability to trace modeling decisions to real client outcomes and prioritize platform work.
  • Design-led thinking for expert users—data scientists and analysts.
  • Algorithmic product intuition: value from models or scores, not just UI.
  • Platform mindset: build self-service rails with quality standards and tests.

Responsibilities

  • Own the roadmap and requirements for the Decision Maker Networks platform.
  • Lead an empowered team of data scientists and engineers with customer insight and business context.
  • Raise the evaluation bar by refining and evolving platform standards and assessments.
  • Spend time with users and clients to prototype and test tooling before engineering.
  • Define how networks evolve and how the scoring platform leverages advancements.
  • Design interfaces and levers that let data scientists tune networks with guardrails and extensibility.
  • Own the business logic and testing harness used by Engineering and Data Science to build networks.
  • Manage platform launches, track KPIs, and communicate releases to stakeholders.

Skills

PM experience
Outcome focus
Design-led thinking
Algorithmic product intuition
Platform mindset

Job description

Applecart is hiring a Senior Product Manager to own the Decision Maker Networks platform—the rails, architecture, and tooling that Data Scientists build atop. You’ll own the scoring models, set quality standards, and ensure the platform meets client needs.

The role blends strong product judgment with fluency in algorithmic products, and requires shaping networks to fit strategic client contexts, with hybrid work from NYC office and remote days.

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