Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure) Job at Teradata (Hyderabad, Telangana, India | Pune, Maharashtra, India

Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)

We are seeking a Director of Product Management to own a core pillar of AI Studi...

Location

United States , California

Salary:

182700.00 - 274000.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

10–15+ years in product management, including Director-level leadership and ownership of end-to-end product definition through launch and go-to-market alignment
Direct experience in at least two of the following: AI/ML infrastructure or appliance systems
vector databases/retrieval systems
enterprise partner ecosystems and integrations
Experience with GPU-based systems and Kubernetes-based distributed platforms, including enterprise deployments in on-prem or hybrid environments
Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise

Job Responsibility

Own end-to-end product strategy, roadmap, and delivery for the Teradata AI Factory (Artemis) appliance form factor, the vector & retrieval layer, and ecosystem integrations
Translate customer and field signals into clear requirements, packaging, and competitive differentiation across cloud, on-prem, hybrid, and sovereign deployments
Lead design-partner programs to validate demand, performance targets (including low-latency retrieval), and integration fit—then convert learnings into repeatable go-to-market plays
Partner with engineering, sales/WWAS, pricing, and deal desk to drive execution with a disciplined release cadence and measurable outcomes
Define what success looks like through adoption, ecosystem attach, time-to-deploy, and margin health—then track and adjust to hit those targets
Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce

What we offer

Annual incentive plans based on company financial attainment and individual performance
healthcare
life and disability insurance plans
401(k)-retirement savings plan
time-off programs

Fulltime

Director of Product Management, Cloud Platform & AI

This role is a key leadership opportunity within HPE's GreenLake Cloud Platform ...

Location

United States , San Jose

Salary:

194000.00 - 412500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in computer science, engineering or related field of study
15+ years of experience in product management, with at least 5 years leading product management teams
Cloud experience required
must have experience building SaaS products on or integrating with hyperscalers
Exposure to AI-driven product thinking, experimentation, and adoption
open mindset towards AI as a strategic enabler
Familiarity with AI-native workloads, AI-powered platform services, and conversational UI interfaces
Proven ability to define and execute a business strategy that drives operational excellence & profit
Strong technology foundation and business acumen and understanding the technology strategy in the market
Demonstrated experience in working with cross functional teams across engineering, sales, IT, marketing, support etc.

Job Responsibility

Lead both inbound and outbound product management activities, overseeing a team of 5-6 direct reports
Drive the transformation of the GreenLake platform into an agentic, AI-aware ecosystem
Shape and articulate the platform strategy, emphasizing embedded intelligence, self-optimization, troubleshooting, and insights that make infrastructure self-aware
Promote the adoption of new AI-driven user experiences, transitioning from traditional UI workflows to conversational, prompt-based interactions
Evangelize the platform's value proposition to both technical and business audiences, including channel partners, distributors, and ecosystem partners
Define go-to-market strategies, partner engagement, and cross-sell/upsell opportunities to enhance platform relevance and adoption
Collaborate closely with engineering, marketing, go-to-market partners, and ecosystem alliances (e.g., ServiceNow, Salesforce) to expand platform participation in broader AI ecosystems
Challenge existing organizational and product paradigms, fostering a culture of innovation and continuous disruption
Ensure the platform supports enterprise-scale transformation, with a focus on sustainability, governance, compliance, and AI-native services

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Director of Platform Engineering & Operations

NetApp is seeking a strategic and execution-oriented Director of Platform Engine...

Location

United States , RTP

Salary:

199750.00 - 298100.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

12+ years of progressive experience in infrastructure engineering and operations
7+ years of leadership experience managing global, distributed teams at scale
Deep expertise in: Hybrid compute platforms (virtualization, containerization, public cloud IaaS/PaaS)
Enterprise storage technologies (block, file, object, hybrid architectures)
Global DDI services (enterprise DNS, DHCP, IPAM architectures)
Demonstrated experience implementing Infrastructure as Code and CI/CD-driven infrastructure delivery
Proven track record driving automation at scale across enterprise infrastructure
Strong experience with AI-Ops platforms, observability stacks, and operational analytics
Experience leading both engineering (build) and operations (run) functions within a unified organization

Job Responsibility

Define and execute the strategy for enterprise compute, storage, and DDI platforms across hybrid (on-prem and cloud) environments
Drive modernization of infrastructure services using IaC, GitOps, CI/CD automation, and policy-as-code frameworks
Lead the evolution toward self-service platform models with clear service catalogs, SLOs, and reliability metrics
Partner with executive stakeholders across IT, Security, Engineering, and Product to align platform capabilities with business priorities
Establish multi-year roadmaps for infrastructure transformation, cost optimization, resilience, and scalability
Oversee architecture, engineering, and lifecycle management of: On-prem and cloud-based compute platforms
On-prem and cloud-based storage platforms
Global DDI services (DNS, DHCP, IPAM)
Certificate lifecycle management
Standardize infrastructure patterns across data centers and public cloud providers

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off
various Leave options
employee stock purchase plan
and/or restricted stocks (RSU’s)

Fulltime

Director of Technology

Our Client is seeking a Director of Technology who will lead their overall techn...

Location

United States , New York

Salary:

180000.00 - 200000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
8+ years of progressive technology and IT leadership experience
Experience within commercial finance, specialty lending, banking, fintech, or other regulated financial services environments preferred
Strong understanding of cybersecurity, infrastructure management, cloud technologies, and enterprise systems
Experience managing software implementations, systems integrations, reporting platforms, and operational technology projects
Strong knowledge of Microsoft environments, Excel-based operational tools, Power BI, and ERP systems
Experience supporting customer-facing SaaS platforms and teams preferred
Demonstrable understanding of AI/ML concepts, capabilities, and limitations, with the ability to evaluate tools, assess vendor claims, and guide technology decisions
Working knowledge of AI-related data privacy, security, and regulatory frameworks (e.g. GDPR, CCPA, SOC 2, ISO42001), with experience establishing or maintaining governance policies that manage risk across client-facing data environments
Strong communication, organizational, and stakeholder management skills

Job Responsibility

Develop and execute the company's technology roadmap aligned with business objectives and growth initiatives
Serve as a strategic partner to executive leadership on technology planning, systems optimization, cybersecurity, AI governance, and operational scalability
Define and implement the company's AI usage policies, governance standards, and technology initiatives
Identify opportunities to automate workflows, improve reporting, and enhance operational efficiency across the organization
Evaluate and implement new technologies that support business growth and operational resilience
Effectively communicate strategies, opportunities, risks, project/program updates, issues, and go-forward options to senior management
Oversee company-wide laptop, mobile device, and end-user technology setup, administration, and lifecycle management
Provide and manage first-level technology support for all employees across the organization
Escalate and manage technology issues with external managed service providers, including primary oversight of the relationship with the company's MSP
Establish IT operational standards, documentation, and support procedures

Fulltime

Audit Director – AI Technology, Cyber, Data and GenAI Engineering

The Audit Director – AI Technology, Cyber, Data and GenAI Engineering is a senio...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Extensive experience in a related role
Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
In-depth understanding of technical architecture, system engineering with AI/GenAI focus
Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering
Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar
AI-related certifications are a plus
Executive presence and expert in building and maintaining strong open relationships with executive stakeholders
Ability to quickly comprehend the full risk implications of complex global issues
Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions
Strong leadership skills including a track record of identifying and developing world class talent

Job Responsibility

Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering
Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team
Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs
Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design
Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure
Assessing security and safety controls for AI, GenAI and agentic AI implementation
Assessing approaches for red-teaming, safety testing, alerting
Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view
Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Exclusive discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Director of Business Applications - Oracle CoE

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating ...

Location

India , Hyderabad

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Engineering, or equivalent experience
15+ years of progressive experience in enterprise technology roles
5+ years in a senior leadership role (Director managing managers and large teams)
Demonstrated experience leading Oracle enterprise platforms (ERP, OCI, data, analytics, integrations)
Demonstrated experience delivering AI/ML, analytics, or intelligent automation solutions at scale
Strong experience with cloud architectures, data platforms, and enterprise integrations
Experience managing large transformation programs with multiple stakeholders and dependencies
Strong understanding of information security, data privacy, and regulatory compliance requirements
Excellent written and verbal communication skills with strong executive presence
Proven ability to build talent, mentor leaders, and foster a culture of accountability and innovation

Job Responsibility

Define and drive enterprise strategy for Oracle platforms and AI-enabled solutions, aligned with ResMed’s global business and digital priorities
Provide leadership and accountability for architecture, modernization, and optimization of Oracle technologies including ERP, Oracle Cloud Infrastructure (OCI), analytics, data platforms, and integrations
Lead the design and delivery of AI and advanced analytics solutions, including predictive analytics, machine learning, intelligent automation, and decision support systems
Establish multi-year technology roadmaps, investment strategies, and execution plans across Oracle and AI domains
Provide thought leadership across architecture, platforms, delivery practices, governance, and emerging technologies
Partner with business, product, data, and IT leaders globally to shape and deliver cross-functional initiatives
Build and lead high-performing teams in India, managing multiple managers and senior technical leaders
Drive adoption of modern engineering and delivery practices including Agile, DevOps, DataOps, and MLOps
Ensure platforms meet enterprise standards for security, privacy, compliance, scalability, and reliability
Define and enforce governance models for AI ethics, data privacy, regulatory compliance, and risk management

Fulltime

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software
Demonstrated cross-functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master's degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems

Job Responsibility

Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Director, Data Engineering & AI

The Director, Data Engineering & AI Enablement is the senior-most technical lead...

Location

United States , Philadelphia

Salary:

150000.00 - 160000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure) - able to write and review production code personally, not only at a conceptual level
Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production - this should reflect direct authorship, not solely direction of others' work
Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks
Experience working across diverse, often messy enterprise data domains (financial, labor/workforce, IoT/sensor, employee activity, client/operational) preferred over deep specialization in any single domain
Demonstrated track record of delivering AI products that generated measurable business outcomes
Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams - paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work
Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication)
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
advanced degree in a quantitative discipline preferred
7+ years of data and software engineering experience, including 4+ years building AI/ML solutions and 2+ years in engineering leadership roles

Job Responsibility

Architect and build production-grade data pipelines (batch and streaming) for the highest-priority or highest-ambiguity initiatives — spanning financial, labor/workforce, and smart building sensor, employee work, and client/operational data — setting the technical pattern the team scales from
Write code, design model architectures, and personally develop and deploy machine learning models and generative AI applications (including LLM-based solutions), particularly for new or unproven use cases before delegating to the team
Stay hands-on in production: debug critical-path issues, review production-critical code and model logic, and remain a credible technical authority by virtue of doing the work, not just overseeing it
Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape — predictive maintenance, demand forecasting, workforce and labor optimization, financial and margin analytics, smart building performance, and intelligent client reporting
Provide overarching oversight and governance of enterprise data architecture standards, design patterns, and data modeling principles — ensuring all engineering solutions, vendor integrations, and AI workloads conform to the established framework
Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards
serve as the senior technical authority for data design decisions
Evaluate emerging AI technologies and vendors
build-versus-buy analysis with a bias toward owned, scalable capabilities
Stand up and mature MLOps practices: CI/CD for data and models, automated testing, model monitoring, drift detection, and retraining pipelines

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

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Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)

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