Senior Competitive and Market Intelligence Manager

Genesys•New York, IN
•$114,400 - $201,200•Remote

About The Position

As a Sr. Market & Competitive Intelligence Manager at Genesys, you will analyze competitor moves, market shifts, and insights from wins and losses to deliver actionable intelligence for Sales, Product, and Marketing. You will turn evidence into insight about why Genesys wins and loses, where competitors are heading, and how Genesys should position itself as the Agentic AI CX Platform for the Enterprise. As a core member of the collaborative Market & Competitive Intelligence team, you will partner with stakeholders across Product, Marketing, and Sales to connect market insights with field feedback. You will translate those insights into business recommendations and actionable competitive guidance for sellers, including battlecards, competitive plays, and concise briefings. Win/loss data will be a key input for identifying patterns, understanding competitive dynamics, and producing field-ready content. You will leverage AI tools to accelerate research, monitoring, and synthesis while applying critical judgment to ensure findings are relevant, accurate, and trustworthy. The role provides broad visibility across Genesys as agentic AI, orchestration, and a rapidly evolving competitive landscape reshape customer experience. You will help determine where Genesys can lead, where it is exposed, and what the field needs to compete effectively.

Requirements

  • 8+ years of experience in competitive or market intelligence, product marketing, product management, or strategy.
  • Bachelor’s degree in business, economics, marketing, a technical discipline, or equivalent experience.
  • Experience in enterprise software or SaaS, with a strong understanding of AI technologies.
  • Ability to analyze qualitative and quantitative data, including deal and interview data, and draw defensible conclusions.
  • Strong written and verbal communication skills, with the ability to tailor insights for executives, product teams, and sellers.
  • Self-starter who takes ownership, frames ambiguous questions, drives work from analysis through recommendation, and manages competing priorities effectively.
  • Collaborative and adaptable team player who builds trust with Product, Marketing, and Sales partners and works effectively across global teams.
  • Intellectual curiosity and motivation to become a subject matter expert in frontier technologies and standards, including agentic AI.
  • Willingness to travel up to 15%.

Nice To Haves

  • Experience in CX, CCaaS, or WEM.
  • Experience leveraging AI tools for research, analysis, and synthesis.
  • Hands-on experience managing win/loss programs or analyzing win/loss, voice-of-customer, and deal data.
  • Experience working with data platforms and CRM systems such as Snowflake and Salesforce.
  • Familiarity with intelligence platforms such as AlphaSense and Clozd, and expert networks such as GLG.

Responsibilities

  • Track and analyze competitor strategy, product direction, pricing, messaging, and partnerships across AI, CX, CCaaS, and WEM.
  • Triangulate public sources, analyst research, and firsthand input from customers, partners, and field teams to surface insights.
  • Analyze win/loss results to identify why Genesys wins and loses, and how outcomes vary by competitor, segment, region, and deal type.
  • Connect win/loss findings to competitor actions, field feedback, and market activity to distinguish durable trends from one-off deals.
  • Turn findings into actionable recommendations for Product, Marketing, and Sales.
  • Identify early signals of market and competitive shifts, assess their implications, and recommend action.
  • Create and maintain battlecards, competitive plays, and market and technology analyses grounded in win/loss and field evidence.
  • Contribute to enablement and briefings that help go-to-market teams apply competitive intelligence.
  • Measure how competitive intelligence is used and influences deals, and use those insights to improve field support.
  • Leverage AI tools to accelerate research, monitoring, and synthesis of qualitative and quantitative data while validating and interpreting findings with critical judgment.

Benefits

  • Medical, dental, and vision insurance.
  • Telehealth coverage.
  • Flexible work schedules and work-from-home opportunities.
  • Development and career growth opportunities.
  • Open Time Off in addition to 10 paid holidays.
  • 401(k) matching program.
  • Adoption assistance.
  • Fertility treatments.
  • Mentorship, learning programs, leadership development, and education support.
  • Paid volunteer time.
  • August Free Fridays.
  • Well-being resources and regionally tailored programs for employees and their families.
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