Team Manager Enterprise AI Job at Evonik Industries (Singapore

Product Manager – Enterprise AI Platform

Drive the Next Generation of Enterprise AI. We're partnering with a leading glob...

Location

Ireland , Dublin

Salary:

100000.00 EUR / Year

Nicoll Curtin

Expiration Date

Until further notice

Requirements

6+ years' experience in Product Management or Product Ownership within enterprise software, B2B SaaS, or technology platforms
A strong track record of owning product strategy and successfully delivering platform or AI-enabled products
Experience working with AI, machine learning, cloud technologies, or modern software platforms
Excellent stakeholder management and communication skills, with the ability to influence both technical and business audiences
A customer-first mindset, commercial awareness, and a passion for innovation

Job Responsibility

Define and execute the product strategy and roadmap for an enterprise AI platform
Build business cases and prioritise investment to maximise customer and commercial value
Translate customer needs into scalable AI platform capabilities
Partner with engineering teams to deliver innovative products using Agile methodologies
Support customer engagements, product demonstrations, and strategic go-to-market initiatives
Define user stories, success metrics, and product priorities while driving continuous improvement
Mentor colleagues and help shape product management best practices across the organisation

What we offer

Competitive salary
Performance bonus
Private healthcare
Pension
Life assurance
Income protection
Flexible hybrid working
Professional development
Learning
Career progression

Fulltime

Delivery Manager – Enterprise AI Technology Programs

We are looking for a highly adaptable, results-driven Delivery Manager to lead t...

Location

United States , San Francisco; New York

Salary:

140000.00 - 200000.00 USD / Year

Distyl AI

Expiration Date

Until further notice

Requirements

10+ years of experience delivering large-scale technology programs for enterprise clients, including a $10M+ budget program
Ability to travel 25-50%
Deep exposure to one or more of the following domains—supply chain optimization, health insurance cost of care and/or prior authorization, or large-scale consumer contact centers (Highly Desired)
Experience with forward-deployed engineering teams or other embedded delivery models
A Problem-Solver at Speed
An Enterprise-Scale Leader
A Master of Adaptation
A Strong Communicator Across All Levels
A Delivery-First Operator
AI-Curious and Business-Minded

Job Responsibility

Client-Centric Operator
Lead High-Impact Delivery
Operate at Maximum Velocity
Drive Stakeholder Alignment
Optimize Program Success
Influence Key Customer Decisions
Grow and Motivate a Team
Stay Engaged in Delivery Activities
Champion AI-Driven Solutions
Write the Playbook

What we offer

100% covered medical, dental, and vision for employees and dependents
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
Ownership of high‑impact projects across top enterprises
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
Meaningful equity

Fulltime

Engineering Manager - Enterprise AI

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

India , Bangalore

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

BE, MS or Ph.D. in Computer Science
12+ years of experience with > 2+ years of management experience in product based organization
7+ years of experience as a backend developer/ technical lead in product development using high level programming languages
Experience building platform for generative AI applications leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)
Strong oral and written communication skills
Strong understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Experience with Public cloud (AWS/ Azure/ GCP) and/ or Private cloud (Openshift/ Rancher)
Strong Understanding of Distributed Systems and building systems at scale
Ability to drive the architecture/design and provide technical directions to the team

Job Responsibility

Take charge of a team of Engineers and be the technical advocate for the team. Strive for the implementation of Engineering best practices and coding standards
Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners
Work to enhance developer velocity and team agility
Help build the leading platform for AI/machine learning in the enterprise
Provide mentoring, coaching, career development and technical guidance to the Engineers to ensure they are suitably trained to perform all job functions and use project/software-related tools
Review design, code ensuring elegant, scalable, enterprise grade solutions
Perform staffing responsibilities for the team – hiring to fill open positions and working with recruitment team to conduct interviews
Conduct talent reviews of team members/reportees to recommend job promotions/salary reviews based on job performance and take decisions on employee performance improvement plan/termination if needed
Run the day-to-day activities of the engineering team in an Agile/Scrum environment
Lead the team in working together with the dedicated customer support organization in resolving onboarding/ongoing issues for Cloudera Customers

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

Engineering Manager, Enterprise AI Platform

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

India , Bangalore

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

8+ years of experience in building enterprise software
2+ years of management experience
Strong written and oral communication skills
Good understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Strong Understanding of Distributed Systems and building systems at scale
Should be able to drive the architecture/design and provide technical direction & guidance to the team
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Experience with open source foundation models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)
Experience with Generative AI frameworks (LangChain, Guidance, etc.)

Job Responsibility

Manage the team(s) located in Bangalore, India to help drive the development of Cloudera’s next-generation AI and machine learning platform
Responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale
Work with Product Managers to define what capabilities should be built in the product
Work with Product Managers to understand customer use cases and help them use our products effectively
Responsible for the growth of your reports
Fill in to address gaps in process / practices followed by the team / organization
Lead by example

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

Product Manager – Enterprise Gen AI Platforms

The Team & Culture We are a high-octane, startup-minded group operating within t...

Location

India , Chennai, Tamil Nadu, Pune, Maharashtra

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience
Excellent written and verbal communication skills
Ability to translate between deeply technical engineering teams, product leadership, and business stakeholders
Experience managing programs that require organizational change
Ability to work through others and drive alignment among senior stakeholders
Strong organizational skills to manage multiple parallel workstreams
Data-driven approach to program management

Job Responsibility

Lead the delivery of mission-critical AI platforms that serve the entire enterprise
Bridge the gap between deeply technical engineering teams, product leadership, and business stakeholders
Drive planetary-scale impact
Navigate ambiguity, bringing structure, clarity, and execution
Manage multiple parallel workstreams across distributed, fast-moving teams
Take a data-driven approach to program management using metrics and scorecards

Fulltime

Enterprise AI - Account Manager

We are looking for an Account Manager with a background in Financial Services an...

Location

India

Salary:

Not provided

Wokelo AI

Expiration Date

Until further notice

Requirements

MBA from a Top-tier institute is mandatory
1-2 years of post-MBA experience in Financial services including Enterprise Account Management, Investment Research, Financial Services, or Fintech is preferred
Strong understanding of investment research, financial modelling, and capital markets
Ability to leverage analytics tools to monitor client engagement and boost platform adoption
Excellent communication and presentation skills, with experience in guiding senior stakeholders and investment professionals
Hands-on, execution-oriented, and comfortable working in a high-growth startup environment
Proficiency in CRM tools, Customer Success software, and MS Office

Job Responsibility

Customer Engagement & Success: Build and nurture long-term relationships with key accounts, ensuring seamless onboarding, activation, and continued value realization
Account Growth & Retention: Drive engagements, renewals, upsell/cross-sell opportunities, and reduce churn by providing high-impact insights and best practices
Strategic Consulting: Guide clients—Private Equity firms, Investment Banks, and Asset Managers—on how to integrate AI-driven intelligence into their workflows
Proactive Issue Resolution: Actively address customer concerns, provide solutions, and serve as a trusted advisor for investment research professionals
Data-Driven Decision Making: Monitor key usage metrics like NRR, churn, and engagement, and use analytics to optimize customer success strategies
Market & Product Feedback Loop: Work with internal teams to ensure our product continuously evolves to meet the needs of the investment research industry

What we offer

Competitive Compensation & Equity: We offer top-of-market salary packages along with ESOPs
Comprehensive Benefits: Full health insurance coverage, flexible vacation policy, and a remote-friendly work environment
Global Exposure: Collaborate with industry leaders and attend bi-annual offsites for strategic alignment and team-building

Fulltime

Forward Deployed AI Engineering Manager, Enterprise

As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be t...

Location

United States , San Francisco; New York

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience
2+ years of Management experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
Deploy and configure AI models and agents within customer security and compliance boundaries
Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
Architect multi-agent systems that orchestrate between different models, tools, and data sources
Implement evaluation frameworks to measure agent performance and iterate toward business objectives
Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
Build and maintain prompt libraries, templates, and best practices for customer use cases

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

Business Development Sr. Manager, Modern Virtualization & Enterprise AI

We are looking for a leader who will focus on enterprise cloud-native and open p...

Location

United States , Austin, Texas

Salary:

164800.00 - 247200.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Leadership Experience: Demonstrated success in a comparable role, owning the success of driving a vertical- and workload-focused approach
Technical Experience: An established background in the data center business, with at least 5 years of experience working with platform partners like Red Hat, SUSE, Canonical, etc.
Customer Experience: Strong historical interaction and relationship building with key customers
Undergraduate degree in Electrical Engineering or Computer Science preferred. MBA is a plus.

Job Responsibility

Define and implement key strategies to grow AMD’s server business in enterprise cloud-native platforms
Work with OS/platform partners to drive AMD qualifications and certifications and deliver critical solutions to market
Deepen partnerships with partners, with a focus on establishing joint go-to-market plans to accelerate business growth
Partner with strategic ISVs to co-develop enterprise AI platforms with CPU + GPU-powered solutions
Work with OEMs, channel partners, and GSIs to converge on solutions and help address end-customer needs
Enabling Sales with targeted plays, collateral, and training to grow AMD’s server business in manufacturing
Identify customer challenges and translate them into a compelling value proposition—ideally from chip-level technology into system-level solutions
Develop relationships across the sales teams to identify and build a harmonious approach to broadening AMD's business in key accounts

Fulltime

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Team Manager Enterprise AI

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