Senior Product Manager

Who are we?

Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact.

You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you—because when you feel valued, you're empowered to do your best work.

Designs, develops, and manages the lifecycle of a product or group of products from concept to launch to end of life. Translates market opportunities and customer demand into viable products and services that differentiate Equinix in the market. Sets the vision and strategy for their product ensuring it is competitively positioned and customer‑centric. Manages the product roadmap including features, upgrades and maintenance of the product or product line.

Works cross‑functionally with user experience, engineering, operations, solution architects, marketing and others to design, build and launch new products and/or product features.

• Executes on the defined strategy and vision for AI within the Quoting, Solutioning, and Contracting domains of Lead to Cash.
• Manages the full AI product lifecycle— from ideation and discovery through build, launch, adoption, and continuous improvement.
• Maintains awareness of the competitive AI landscape and emerging technologies applicable to CPQ, CLM, and solution design workflows.

• Partners with Sales, Tech Sales, and Sales‑supporting teams to translate business needs into clearly scoped, AI‑enabled solutions.
• Gathers, documents, and designs the best possible end‑user experience across quoting, solutioning, and contracting workflows—incorporating the voice of the customer and the voice of the rep into the AI product roadmap.
• Involves engineers, designers, data scientists, and business stakeholders to create a shared vision and clear, measurable goals for each AI product initiative.
• Identifies and documents where AI reduces friction across the quote‑to‑contract lifecycle—pricing inconsistency, manual contract redlines, slow approvals, scope estimation errors—and incorporates those opportunities into a prioritized AI roadmap.
• Defines a multi‑horizon roadmap that balances quick‑win automation with longer‑term intelligent decision support across all three domains.

• Defines the metrics and KPIs used to measure AI‑enabled product success across all three domains.
• Establishes baselines and targets for each AI initiative prior to launch.
• Monitors model performance post‑launch, defines retraining triggers, and leads product retrospectives tied to outcome data.
• Produces executive‑level reporting on AI initiative ROI, adoption, and delivery progress.

• Designs product training curriculum for AI features across Quoting, Solutioning, and Contracting—ensuring end users understand not just how to use AI tools, but when to trust, override, or elevate AI outputs.
• Leads cross‑functional trainings, demos, and working sessions with users and business stakeholders.
• Partners with data engineering on feature pipelines, training datasets, data quality standards, and model retraining workflows.

• Creates and owns the AI product backlog across Quoting, Solutioning, and Contracting—writing clear user stories, acceptance criteria, and definition of done for every AI feature.
• Works regularly with the team to refine the backlog, add detail, resolve dependencies, and sequence work by business value and technical feasibility.
• Collaborates closely with engineering and data science to size work, surface risks, and maintain a healthy sprint‑ready backlog.
• Applies Lean principles to eliminate process waste before layering AI on top—ensuring AI solves real friction, not just digitizes broken workflows.
• Manages dependencies between AI…