AI Product Manager, Internal Transformations at Teleperformance
$90,000–$110,000
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A fully remote product management role focused on AI-powered products within a large global digital services company. The position covers the full product lifecycle — from discovery and roadmap planning through launch and ongoing performance tracking — working across engineering, data science, UX, and business teams. It suits an experienced product manager with a background in AI or ML-driven products and familiarity with enterprise AI platforms and responsible AI practices.
Mid level · 4+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,450 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 610–2,200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This is an AI Product Manager role — a product management occupation with deep AI/ML domain focus. 15-1299 (Computer Occupations, All Other) is the closest fit; 11-3021 (Computer and Information Systems Managers) is a plausible runner-up given the roadmap ownership and cross-functional leadership scope, but the JD explicitly frames this as an individual-contributor role ('Demonstrated ability to drive AI product delivery… as an individual contributor'), so a management SOC was not chosen.
The role is fully remote but restricted to US-based candidates who are eligible to work without sponsorship; no specific metro is listed.
The degree requirement lists 'Bachelor's or master's degree… or a related field' but also accepts 'equivalent executive program,' so no hard degree gate is set. MBA or MSc in AI/ML is explicitly preferred, not required.
Total experience requirement is stated as '4–6 years in Product Management, with at least 2–3 years on AI or ML-driven products'; 4 years is used as the minimum.
Seniority is assessed as Mid: 4–6 years of PM experience with 2–3 years in AI/ML, individual-contributor framing, and no org-wide authority signals — despite the global scope of the company, the role's own scope aligns with Mid-to-Senior; the lower band is chosen per tie-breaking rules.
Azure AI Foundry, Google AI, OpenAI, Genesys, ServiceNow, and Salesforce appear in the experience section as illustrative examples of enterprise AI ecosystems ('e.g., …'), not as hard gates — marked as preferred accordingly.
MLOps appears under 'Familiarity with AI platforms and MLOps environments,' which is softer language than the firm requirements above it — marked as preferred.
Multimodal models and MCP (Model Context Protocol) are mentioned in both the responsibilities and technical skills sections as awareness/trend items rather than gated skills; they are subsumed under the LLMs/NLP skill cluster and not emitted as separate skills to avoid over-fragmenting conceptual awareness into discrete tool requirements.
Read the full posting
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