Product Manager (AI/ML / Gen AI)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Personas
FOCUS
Generative Artificial Intelligence (AI)
Innovation
Project Management
Return On Investment
KPI
Leadership
Machine Learning (ML)
Management
Operations Research
Communication
Computer Science
Data Science
Decision-making
Engineering Design
Analytical Skill
Articulate
Artificial Intelligence
Product Requirements
SQL
Coaching
Collaboration
Optimization
Organized
Product Management
Roadmaps
Scheduling
Strategic Management
Training

Job Details

Product Manager

Mountain View, CA (Hybrid)

Workforce Scheduling

  • Product Vision & Roadmap Contribution: Help define and execute key components of the vision and strategic roadmap for the Workforce Scheduling Platform, ensuring alignment with broader Customer Success goals.
  • Complex Problem Identification & Solution Definition: Identify and break down complex expert scheduling pain points and operational inefficiencies, translating them into clear, actionable product requirements and effective solutions.
  • Feature Ownership & Delivery: Drive the end-to-end delivery of significant platform features, collaborating closely with engineering, design, and data science teams to ensure high-quality, scalable solutions.
  • Advanced Data-Driven Decision Making: Utilize strong data and analytical skills to deeply understand scheduling patterns, measure product performance, and make highly informed decisions that significantly improve efficiency and satisfaction.
  • Cross-Functional Leadership & Collaboration: Proactively partner with various stakeholders across different teams and functions to gather requirements, manage complex dependencies, and ensure successful, impactful product launches.
  • Innovation & AI/ML Exploration: Actively explore and recommend new technologies and approaches, particularly in optimization and AI/ML, to enhance scheduling intelligence and automation, contributing to the strategic direction.

Qualifications:

  • 7+ years of direct Product Management experience - designing and delivering world-class software products, ideally with a strong focus optimization or complex operational systems.
  • Proven ability to navigate, influence, and manage stakeholders in a complex, matrixed organization, often across multiple teams.
  • Demonstrated experience managing the end-to-end product lifecycle for backend platform and front-end products
  • Strong project management and program leadership skills
  • Strong SQL and/or analytical skills to extract deep insights, model data, and inform strategic product decisions.
  • Ability to clearly articulate problems that need to be solved, define KPIs to measure impact, and work with engineers and analysts to ensure delivery of those KPIs
  • A successful history of delivering customer-driven products that create excellent customer experiences and drive measurable business outcomes.
  • Bachelors in Computer Science, Engineering, Operations Research, or a related technical field.
  • Demonstrated familiarity with AI/ML concepts, including prompting and practical usage, with a clear understanding of how to apply these technologies to solve complex scheduling challenges.

Adjusted Requirements Product Manager

Real Product Sense-problem framing and solution

  • Frame problems around user needs and context.
  • Can pinpoint the problem.
  • Identify personas and pain points clearly.
  • Propose specific, actionable solutions (not just generic process steps).
  • Show how solutions tie back to user value and business impact.
  • Solution should be towards solving the problem.
  • Think in terms of tradeoffs: features vs. timeline, engineering effort vs. ROI, etc.
  • Should be able to relate tradeoffs in terms of prioritization.
  • Needs to be able to identify personas and tie back to them.
  • Identified KPI should be relevant.

Strong Communication & Structured Thinking

  • Organized, direct, and concise responses without much coaching.
  • Ability to stick to the actual question being asked without wandering.
  • Use of a structured framework (e.g., problem personas solutions tradeoffs outcomes).
  • Comfort making assumptions when requirements are vague, rather than waiting for nudges.
  • Must be able to direct the conversation.
  • Technical & AI Familiarity - GenAI
  • Enough working knowledge of AI concepts to hold a credible product conversation (e.g., difference between training vs. tuning, what RAG pipelines are).
  • Avoid misusing foundational AI concepts when framing solutions.

Alchemy: Transforming Your Professional Vision into Reality

Since our inception in 2013, Alchemy has been dedicated to reshaping organizational performance through innovative IT services. With a vision to empower businesses seeking a transformative edge, we ve positioned ourselves at the forefront of digitization and software modernization.

Our name reflects our mission: to transmute technology into gold-standard solutions for our esteemed clients. We proudly serve a diverse range of sectors, including IT and ITES, BFSI, Telecom and Media, Automotive, Manufacturing, Energy, Oil and Gas, Real Estate, Retail, Healthcare, and more.

With a global footprint spanning the USA, India, Europe, Canada, Singapore, Japan, and parts of Central and West Africa, we harness a unique blend of competencies, frameworks, and cutting-edge technologies. Together, we drive growth and innovation across industries, helping organizations turn their visions into reality.

Alchemy Connecting Talent with Opportunities (Diversity, Equity and Inclusion)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.