VP, AI Platform & Foundational Services

Uniphore•Palo Alto, CA

5d•Onsite

About The Position

Uniphore is one of the fastest-growing Enterprise GenAI companies—built-for-scale and designed for the enterprise. We drive business outcomes across multiple industry verticals and enable the largest global deployment. At Uniphore we are building the modern GenAI stack for the enterprise. That includes all required layers and capabilities: data; knowledge; agent model training, deployment and operationalization; and applications that act both as conduits for GenAI actions as well as sources of training data for our models. Unlike mega-tech vendors who must deal with decades of legacy code, or young startups that have no Enterprise customer base, we believe we are positioned to capitalize on the GenAI moment better than any other software vendor. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines, and data: all in the service of creating the most human processes and experiences for customers and employees.

Requirements

Bachelors or Master's degree in Computer Science, Systems Engineering, or a related field preferred; equivalent industry experience in platform engineering and/or infrastructure product management will be weighted equally
10+ years of experience in platform product management, AI, or analytics, with at least 5 years in a senior leadership role.
5+ years in a senior leadership role, ideally within a large-scale enterprise or high-growth tech company.
Strong leadership and people management capabilities.
Innovative mindset with a customer-centric approach.
Ability to manage competing priorities in a fast-paced environment.
Strategic thinker with strong problem-solving and decision-making capabilities.
Excellent communication and stakeholder management skills.
Ability to balance strategic vision with operational execution.

Nice To Haves

Experience with internal developer platforms and platform engineering practices.
Familiarity with Site Reliability Engineering (SRE) principles.
Agile/SAFe product development experience.
Strong financial acumen and experience managing large budgets.

Responsibilities

Strategic Ownership: Define the product vision, strategy, and roadmap for Enterprise Services API Platform, foundational infrastructure platforms, including cloud-native services, container orchestration, CI/CD platforms, and internal developer portals.
Platform Enablement: Partner with engineering teams to deliver reliable, scalable, and self-service infrastructure products, accelerating software delivery across the enterprise. Drive discovery, prioritization, and execution of API platform features—from concept to launch and iteration.
Developer Experience: Champion excellent developer experience by partnering with developer relations and engineering to deliver great docs, tooling, onboarding, and support.
Stakeholder Management: Align platform capabilities with enterprise needs through close collaboration with engineering, security, DevOps, and business stakeholders.
Innovation & Modernization: Drive modernization initiatives including cloud migration, infrastructure as code (IaC), edge computing, service mesh, and zero-trust architecture.
Metrics & Governance: Define KPIs and SLAs for platform health, adoption, and performance. Ensure regulatory and security compliance in platform design.
Vendor & Budget Oversight: Own relationships with technology vendors and oversee budgets for foundational services and platform tooling.
Strategic Leadership Define and execute the strategic roadmap for platform infrastructure and foundational services, aligning with the company’s business goals, financial outcomes, and customer needs.
Develop and execute an infrastructure and foundational service strategy to support activities that align with the Engineering and AI organization's architecture approaches and support Customer discovery and insights from their AI goals.
Collaborate with executive leadership to identify and prioritize platform innovation, AI use cases, and go-to-market motions that require an enterprise-grade, high-quality, accessible, and reliable platform.
Build and communicate a vision for how the platform and infrastructure can deliver business value and support or drive growth.
Product Management for Platforms Lead the high-level design and collaborate with Engineering and Engineering Leadership, define deployment of scalable requirements, user-centric products and platforms.
Prioritize platform features and enhancements based on customer feedback, market trends, and business needs for monetization
Ensure the use of best practices in data science, analytics, and engineering in product design.
GTM experience working with Sales, performing competitor analysis, pricing, experience working with Product Marketing and partner teams on expanding product growth and delivering on revenue targets
Ability to define a product roadmap, prioritize feature, functionality, and capabilities that are needed by customers, based on the competitive landscape, analyst reports, etc…
Team Leadership Build, mentor, and lead a multidisciplinary team of product managers, engineers, and AI specialists.
Foster collaboration across engineering, design, sales, marketing, and other departments.
Promote a culture of continuous learning, experimentation, and data-driven decision-making.
Create a collaborative culture that bridges data engineering, product development, and AI research teams.
Develop skill-building programs to keep the team up-to-date with the latest AI, platform, and infrastructure trends.
Technology, Infrastructure, Reliability & Operational Excellence Deep familiarity with container orchestration (Kubernetes), infrastructure-as-code (Terraform), CI/CD pipelines, secrets management, and cloud-native networking across AWS, Azure, and GCP
Hands-on understanding of observability stacks (Prometheus, Grafana, OpenTelemetry) and how to define platform-wide telemetry, log, and trace strategies
Experience with multi-region, multi-cloud, and hybrid/on-prem deployment architectures, including disaster recovery and failover design
Ability to evaluate build vs. buy vs. partner decisions for foundational platform services and develop supporting business cases
Partner with Engineering, DevOps and SRE teams to set the organizational philosophy and standards for SLOs, SLIs, and error budgets across platform services.
Set and ensure PMs translate these into engineering prioritization decisions for reliability goals (e.g., SLOs, SLIs), incident prevention strategies, and scaling requirements.
Own the incident management product strategy — define requirements for proactive detection, RCA tooling, and runbook automation — as platform capabilities, not just engineering practices
Drive cross-team alignment on reliability trade-offs, ensuring that platform velocity and reliability goals are explicitly balanced in roadmap decisions
Champion reliability and operational best practices that enable development teams to build and ship with confidence and treat infrastructure capabilities (e.g., deployments, secrets, access control, failover mechanisms) as internal products to support developer personas.
Stay informed and define the strategy and roadmap for the products of AI-ready technologies inferencing, hardware, and explainable AI frameworks.
Evaluate and incorporate emerging technologies readiness for AI, such as synthetic data platforms or edge AI solutions.
Proven track record of delivering complex, cross-functional platform products.
Define platform service architecture, internal and external services, scale, SLAs and Enterprise grade
Drive product thinking into infrastructure-level controls like encryption, access management, and secure-by-default configurations.
Developer as product mindset for Services, Platform, and infrastructure capabilities
Services and APIs that are available at the platforms and infra layers that deliver on functional capabilities
Deep knowledge of infrastructure technologies including Kubernetes, service mesh (e.g., Istio/Linkerd), observability stacks (e.g., Prometheus, Grafana, OpenTelemetry), networking, and cloud platforms (AWS, Azure, GCP, private cloud providers, and on-premise).
Strong understanding of enterprise security, compliance, and operational resilience.
AI Infrastructure & Hardware Readiness Define product requirements for AI-optimized compute infrastructure, including GPU/accelerator provisioning, scheduling, and utilization (e.g., NVIDIA, custom silicon, spot instance strategies)
Partner with ML Engineering and Architecture to ensure the platform supports multi-model, multi-tenant AI workload isolation, prioritization, and observability (LLMOps/MLOps)
Evaluate emerging AI infrastructure trends — edge inference, neuromorphic hardware, specialized accelerators — for enterprise readiness and roadmap inclusion
Security, Governance & Compliance Manage the various security protocols and vulnerabilities that might exist.
Ensure platform supports and enables products take into practices that adhere to global regulations (e.g., GDPR, CCPA) and ethical AI standards.
Collaborate with legal and compliance teams to manage risks associated with sensitive or biased data during the product development and sales process

Benefits

In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.

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