Crescendo logo
Crescendo

Peak CX in the AI era.

Product Manager, Agentic Forecasting, Workforce Intelligence

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 1,001-5,000Since 2024H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

39 days ago

Salary

0

Seniority

Senior

EnglishErlang

Job Description

Product Manager, Agentic Forecasting, Workforce Intelligence

Crescendo

• Crescendo is an AI-native contact center platform and CX operator for hundreds of enterprise clients. • Forecasting automation: Build automated volume forecasting from Crescendo operational datasets. • Translate forecasts into staffing and headcount requirements. • Improve forecast accuracy through agentic self-improvement. • Design staffing logic supporting shared associates across partner programs. • Model cross-program capacity allocation. • Enable dynamic queue balancing across workloads. • Define how forecasts drive operational decisions inside Crescendo. • Build AI-first workforce planning workflows. • Move workforce planning from manual scheduling toward automation. • Connect forecasting to full Crescendo IT stack: CRM/CC, HR, Finance. • Connect data collection agents to every major CCaaS and ticketing platform. • Build a closed feedback loop on forecast accuracy and schedule adherence.

Job Requirements

  • Direct Workforce Management experience is required.
  • Examples: Supporting capacity planning in CC / BPO environments.
  • Working with Erlang-based staffing logic.
  • Designing staffing models across queues or programs.
  • Supporting intraday planning or long-range forecasting workflows.
  • Implementing or integrating WFM platforms.
  • Experience with systems such as: NICE, Verint, Genesys, Calabrio, Aspect or equivalent WFM environments.
  • You don’t need to be a full-time engineer—but you do need to be a builder and LLM AI enthusiast as this technology drives our product strategy.
  • Examples: Writing code using AI developer tools (Codex or Claude).
  • Working directly with structured datasets.
  • Prototyping forecasting workflows.
  • Translating operational logic into executable automation.
  • Partnering closely with data science teams.

Benefits

  • Enjoy remote work with the focus and flexibility to do your best work.
  • Grow in an environment that rewards ambition and sharp execution.
  • Thrive in a team environment where collaboration is the foundation of your success.
  • Be part of a people-first, values-driven organization.
  • Work with innovative global partners and diverse teams.

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