AI Implementations Manager Job at Ema (Bengaluru)

Manager / Sr Manager, Engineering (AI Posture)

Location

United States , Santa Clara

Salary:

185000.00 - 298000.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5-7 years of experience managing software engineering teams within a large-scale organization
5+ years of hands-on software engineering experience with a strong systems-level foundation
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end
Demonstrated experience leading teams through the delivery of complex, data-rich web applications with a focus on performance and usability
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives

Job Responsibility

Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact
Partner closely with Product Management and cross-functional teams (Infrastructure, UX, SRE & QA) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery
Provide architectural leadership for scalable, distributed systems guiding the design and implementation of high-throughput, cloud-native applications
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security

Fulltime

Cloud Solution Architect Manager (CSA Manager) - Data & AI

The International Customer Success Organization (iCSU) mission is to incubate, d...

Location

Brazil , São Paulo

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years' experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect manager
proficiency in written, reading, and conversational Brazilian Portuguese and English

Job Responsibility

You will deliver success through empowerment and accountability by modeling, coaching, and caring as well as build and grow healthy teams that incorporates a mix of expertise across key workloads through talent management, diversity and inclusion and career development while inspiring and fostering a culture of customer-centricity and consumption, adoption and use through collaboration with peers and extended teams using the Demonstrated Capability Framework
You will coach team to represent the customer/partner to internal teams (e.g., Engineering) to shape products and services, and supports the team in providing insights across the territory and drive the team to leverage feedback to develop strategic and actionable insights and influence product roadmaps by presenting business cases to program managers
You will drive adherence to Microsoft standards and recommended practices by setting expectations for the team around methodology and governance and lead your team to utilize “Well-Architected” framework, for consistent delivery of performance, security, scalability, maintainability, and reliability
You will support the team on removal of blockers and proactively identify and propose resolutions through regular technical reviews to accelerate solution implementations. Identifies patterns in blockers across business areas or territory
You will manage the business (e.g., scorecards, forecasting) by delivering against team targets, achieving business metrics, and ensuring the team delivers on Microsoft's Customer Commitments. Leverage Microsoft and industry insights to position engagement offerings and to fuel new cloud growth with top customers and industry opportunities
You will foster a continuous technical self-learning culture and community sharing of stories by encouraging and empowering the team to share learnings. Leverage market and engagement insights to assist leadership in defining area vision, prioritizing teams' skilling and engagements
You will model how to engage constructively and transparently with the technical and/or business community locally and globally as you participate in management communities and foster a culture of fast and effective learning at all levels and accelerate innovation by coaching teams on delivering best practices IP and providing feedback or modifying intellectual properties (IPs) rooted in domain expertise and/or industry acumen

Fulltime

Sr Product Manager / Principal Product Manager - Evisort AI

You will orchestrate the vision, strategy, and roadmap execution within our suit...

Location

Canada; United States , Vancouver; Seattle; Atlanta; Toronto

Salary:

135700.00 - 244200.00 CAD / Year

Workday

Expiration Date

Until further notice

Requirements

8+ years of experience in Product Management
Deep domain expertise in generative AI, including a proven track record of assessing market opportunities and defining product strategies specifically for generative AI-powered solutions
Extensive experience building and launching generative AI products, including proficiency with LLMs and other generative models
10+ years of experience in Product Management
Domain expertise in generative AI, including a proven track record of assessing market opportunities and defining product strategies specifically for generative AI-powered solutions
Experience building and launching generative AI products, including proficiency with LLMs and other generative models
Deep domain expertise in generative AI, including a proven track record of assessing market opportunities and defining product strategies specifically for generative AI-powered solutions
Extensive experience building and launching generative AI products, including proficiency with LLMs and other generative models
Experience defining and tracking key metrics for generative AI products, demonstrating a clear understanding of their business impact and value proposition
Experience as a former startup founder with a proven track record of bringing "0 to 1" features to market is an asset

Job Responsibility

Orchestrate the vision, strategy, and roadmap execution within our suite of Contract Intelligence & Analytics features
Create and implement a comprehensive product vision and strategy for the portfolio tailored to the business needs of a diverse set of enterprise customers
Establish strong and positive relationships with engineering, data science, product management, design and product marketing teams to implement the vision, strategy and roadmap
Partner with the Evisort data science team as they develop new artificial intelligence models, using domain knowledge to influence product decisions
Collaborate closely with a diverse set of people including domain experts, technology teams, and external collaborators to align on specific needs of customers
Be responsible for the ideation, design, and implementation of new AI products and features, incorporating generative and predictive AI technologies to address the various challenges at major companies
Define product requirements based on industry trends, compliance standards, and customer feedback
Clear articulation of various monetization strategies to increase revenue, coupled with tactical execution within Evisort’s Contract Intelligence portfolio to achieve these business goals
Stay informed about advancements in generative and predictive AI, machine learning, and the broader legal tech landscape
Conduct market research to find opportunities and challenges unique to the targeted industry

What we offer

Eligible for the Workday Bonus Plan or a role-specific commission/bonus
Annual refresh stock grants

Fulltime

New

Responsible AI Manager

The role plays a key part in delivering outcomes across the programme’s workstre...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor/Master Degree
At least 2 years’ experience in an AI governance/Responsible AI role, with a focus on practical implementation and operationalisation
Knowledge of Responsible AI risk types, root causes and mitigations, including hallucinations, prompt injection and content safety
A strong understanding of regulatory requirements and obligations, including the EU AI Act, but also adjacent regulations such as the EU Data Act, GDPR or Cyber Resilience Act
Ability to deliver workstreams cross-functionally with strong stakeholder management skills
Proactively analyse and identify gaps in the programme, contribute ideas and evolve current approach and thinking
Ability to provide expertise and advice on Responsible AI requirements and best practice across the business
A solid understanding of concepts such as LLMs, GenAI, retrieval-augmented generation (RAG) and agentic AI
Fluency in English

Job Responsibility

End‑to‑end governance ownership: Own and operate elements of the end‑to‑end Responsible AI governance model, ensuring effective triage, routing, and proportional treatment of use cases through appropriate approval pathways
Risk oversight and decision support: Provide expert review of AI use cases, advising senior business stakeholders on risk profiles, control expectations and decision trade‑offs
Risk framework evolution: Lead the continuous improvement of Responsible AI risk assessment frameworks, methodologies and classification approaches
Emerging technology readiness: Shape and define Responsible AI requirements for emerging technologies and new model capabilities
Lifecycle embedding: Drive the systematic embedding of Responsible AI across key delivery lifecycle stages
Risk register ownership and integration: Maintain and evolve the Responsible AI risk registers, ensuring alignment and integration with related risk frameworks
Tool adoption and continuous improvement: Drive adoption and continuous improvement of Responsible AI tooling by defining requirements and aligning tooling roadmaps with regulatory, risk and business needs
Stakeholder enablement: Work closely with Privacy Managers, Product, Technology and Cyber Security teams to embed Responsible AI ways of working
Operational Support: Provide operational support as required by the Responsible AI lead, supporting with assessments, incidents, or advisory matters

What we offer

Hybrid Work Model - Flexible hybrid work model with 8-10 in-office days per month, managed by team leaders
Vodafone Products and Services - Employees get a mobile phone, free communication plan, data card, and various discounts on services and products
Recognition - Recognition programs for innovative, creative, high-potential employees and exemplary behaviors
Health and Well-being - Well-being Program offers nutrition and psychological consultations, webinars, workshops, and discounts on various services and products
Learning - Access to Communities of Practice and a customizable digital training platform with high-quality content (namely Harvard Business Publishing, Skillsoft and Speexx)
Local and International Mobility - Internal recruitment with local and international rotation opportunities across departments and roles

Fulltime

Principal Product Manager, AI Product

We are looking for a Principal Product Manager, AI Products to help define and d...

Location

United States

Salary:

Not provided

The Muse

Expiration Date

Until further notice

Requirements

12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments
bonus if experience includes healthcare environments
Experience building and scaling enterprise-grade AI, machine learning, or generative AI products
Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
Proven track record shipping products used by enterprise customers at scale
Experience defining and delivering products tied to measurable business outcomes and revenue impact
Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
Demonstrable understanding of how product decisions connect to business performance and customer value realization
Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance

Job Responsibility

Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
Act as the accountable owner for shipping high-quality products on a predictable cadence
Mentor and elevate product management practices across the broader Product organization

What we offer

Pet Insurance
Health Insurance
Dental Insurance
Vision Insurance
FSA
HSA
HSA With Employer Contribution
Life Insurance
Short-Term Disability
Long-Term Disability

Fulltime

Senior Audit Manager – AI Non-model Objects

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Previous experience in a related role
Sound understanding in model audit, validation, or model risk management within financial services
Understanding of financial services regulations and how they intersect with AI/GenAI e.g. conduct risk, operational resilience, data protection, algorithmic trading, AML/KYC, consumer protection
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
Demonstrated successful experience in business, functional and people management
Proven ability to execute concurrently on a portfolio of high quality deliverables according to strict timetables
Demonstrated ability to implement continuous improvement and innovation in audit tools and techniques
Consistently demonstrates clear and concise written and verbal communication
Demonstrated ability to remain unbiased in a diverse working environment
Effective negotiation skills

Job Responsibility

Deliver audit reports, Internal Audit and Regulatory issue validation and business monitoring and governance committee reports relating to AI model development, validation and deployment
Act as a trusted subject matter experts on AI Model risks and controls across the IA team
Oversight of portfolios within the AI Non-model Objects team including stakeholder engagement, assessment of key emerging and inherent risks, etc
Participate in business initiatives and pro-actively advise and assist the business on change initiatives
Implement integrated auditing concepts and technology, and follow trends in the Audit field and adapt them for the Audit function
Identify solutions for a variety of complex and unique control issues, utilizing complex judgement and sophisticated analytical thought
Analyse report findings, and recommend interventions where needed, proposing creative and pragmatic solutions to risk and control issues
Partner with Directors and Managing Directors to develop approaches for addressing broader corporate emerging issues
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

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

Senior Product Manager, AI

Bubble is the only fully visual AI app builder that lets you vibe code without t...

Location

United States , New York City

Salary:

170000.00 - 220000.00 USD / Year

Bubble

Expiration Date

Until further notice

Requirements

5-8+ years of product management experience including experience building AI products and working on end user facing products at scale
Experience shaping evidenced-based roadmaps and leading high-impact projects from discovery through launch and iteration
Strong technical fluency and hands-on experience designing, building, and improving the quality of AI products
Proficient using AI to accelerate product work, from capturing insights to generating documentation to creating prototypes
Strong product judgment: you can spot high-impact opportunities and turn them into concrete, actionable plans
Experience working with design to find intuitive and easy to use solutions to complex UX problems
Comfortable partnering with engineering: You engage on technical tradeoffs and help shape implementation decisions
Experience using research and data to inform product decisions, not just validate them
Strong communication skills for working with cross-functional teams
Desire to move quickly in building, launching, and iterating

Job Responsibility

Drive the product strategy, OKRs, and roadmap for an AI focus area
Drive product initiatives from concept through delivery, balancing long-term thinking with near-term execution
Partner closely with design and engineering in product discovery and delivery, and with marketing and success in go-to-market
Leverage AI to accelerate prototyping, research and validation, engineering & GTM hand-off, and more
Conduct user research to validate product opportunities, and use evals and feedback to iterate on the experience
Clearly scope MVPs and make informed prioritization decisions while maintaining high standards
Mentor junior members of the team and help shape product team processes and best practices
Get hands-on building with Bubble to become an expert on our platform

What we offer

Comprehensive health coverage
401(k) matching
Wellness and work enablement stipends
Generous PTO
A Sabbatical program
Generous equity
Flexible PTO
Competitive healthcare

Fulltime

Privacy and Responsible AI Manager

As a Privacy and Responsible AI manager in the Vodafone Secure & Privacy by Desi...

Location

United Kingdom , London

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experience in privacy: Ideally gained in the telecommunications sector or another relevant business area
Expert understanding of relevant legislation: In-depth knowledge of GDPR, the ePrivacy Directive, and related jurisprudence
Working knowledge of EU AI Act, and data regulations
Global privacy knowledge: Strong understanding of the global privacy landscape, particularly in relation to products, services, and processes
Compliance management expertise: Familiar with compliance management standards, tools, methodologies, and best practices
Excellent organisational skills: Able to handle multiple requests with varying priorities and manage diverse stakeholder needs effectively

Job Responsibility

Act as the primary global advisor to various internal functions, influencing strategy to ensure privacy, responsible AI, and data regulations are core components of business decisions
Supporting our Privacy by Design and Assurance activities across a range of global data processing activities, including management of privacy impact assessments and supporting privacy demand management through our privacy management tool OneTrust
Lead the implementation of privacy and responsible AI principles across a range of global data processing activities
Own and manage privacy impact assessments (PIAs), AI risk assessments, and demand management using OneTrust to ensure continuous regulatory compliance
Partner with local market teams to align with global privacy and AI risk requirements while ensuring compliance with regional variations
Collaborate with Group Cyber Security to integrate privacy and responsible AI principles into global risk assessments from the outset
Provide expert advice across a wide range of areas, including commercial marketing, adtech, cookie management, consumer IoT, big data, responsible AI, and various HR and finance processes
Drive a culture of privacy and responsible AI within the organisation through ongoing training, awareness initiatives, and engagement with key stakeholders
Developing and embedding privacy notices, templates, advice, guidance and processes with the objective of making the process efficient and effective
Support the investigation and management of personal data breaches and incidents, including providing advice, documenting findings, coordinating with stakeholders, and ensuring timely reporting and effective remediation

What we offer

Yearly bonus: 10%
Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
Charity days: 5 days/year
Maternity leave: 52 weeks: the first 13 weeks are fully paid, followed by 26 weeks of half pay
Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%
Access to: private medical, private dental, free health assessments, share save scheme
Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan

Fulltime

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AI Implementations Manager

Job Description

Job Responsibility

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