Associate Vice President - Product, AI & Innovation
Peoplehum · Kochi · onsite · Posted 59d ago
Undisclosed10–15 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
THE ROLE
This role owns the full AI and product remit: our internal AI intelligence layer, the internal operating platform that
runs the company, and the AI product engagements we deliver for enterprise clients. Not to maintain what exists,
but to decide where it goes next.
This is a builders leadership role. You will spend part of your week in architecture discussions with engineers and
part of it in front of client CXOs defending a roadmap. If you are looking for a pure strategy post with no proximity
to the build, this is not that job.
WHAT YOU WILL OWN
- The AI intelligence layer. Our production internal AI platform, covering retrieval architecture, inference
pipelines, a unified knowledge graph, and the roadmap for what it powers next across the organisation.
- The internal operating platform. An end to end system spanning project management, HRIS, CRM, client
relations, workflow, finance and internal communication, replacing more than a dozen fragmented tools. You
set sequencing, adoption strategy and the migration path off legacy SaaS.
- Client AI engagements. Scoping, technical proposals, commercial framing and delivery oversight for external
AI builds. This includes writing and defending technical requirement documents, sizing infrastructure, and
being the person in the room when a client asks why the architecture looks the way it does.
- AI governance. Ownership of the organisation wide AI usage and governance policy, covering access control
models, data handling standards and responsible deployment review.
- The team. Hiring, structuring and developing the AI and product pod, including AI engineering and product
ownership hires reporting into this role.
WHAT WE ARE LOOKING FOR
- Ten or more years across product, with at least three years shipping AI or ML products into production rather
than into pilots.
- Demonstrable ownership of a platform, not only features. You have made architecture calls and lived with the
consequences of them.
- Hands on literacy with LLM systems: retrieval architectures, agent design, evaluation methodology, and the
practical failure modes of each. You do not need to write the production code, but you do need to recognise
when a design will not hold.
- Experience scoping or selling technical work to enterprise buyers, including authoring the documents that
carry the decision.
- Comfort operating across a wide band, from a sprint review to a board level narrative, in the same day.
USEFUL BUT NOT ESSENTIAL
- Cloud infrastructure depth, particularly GCP or AWS, including cost modelling for inference workloads.
- Published research, granted or filed patents, or other evidence of applied technical credibility.
- Experience in a services organisation where internal platform work and client delivery compete for the same
engineering hours.
WHAT SUCCESS LOOKS LIKE
By month three you will have formed an independent view of both platform roadmaps and be able to argue for
changing them. By month six you will be leading at least one client engagement end to end, with the pod
structured around a delivery rhythm you designed.
Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
crmgoogle cloud platformamazon web servicesdata handlinginternal communicationAuthoringSprint Reviewclient deliveryai governanceLarge Language Models (LLMs)Cloud InfrastructuredeploymentcloudSAASProject ManagementHRISResearchArchitectureAi PlatformfinanceArtificial IntelligenceMachine Learning
About peopleHum
Peoplehum
IT Services & Consulting
201-500
employees
2016
10 years old
Union City, California
United States
About
peopleHum is a technology company specializing in HR tech and human capital management solutions. It provides a cloud-based platform that integrates recruitment, employee engagement, performance management, and people analytics to streamline workforce operations. With a focus on AI-driven insights and user-friendly design, peopleHum positions itself as a trusted partner for organizations seeking to modernize HR processes and enhance employee experience.
Industries
IT Services & Consulting
Employee ratings
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Culture
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Career growth
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Work-life
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