781 Marketing And AI Innovation Expert jobs in India

Location: Bengaluru, India (Onsite)

About Vimaan

Vimaan is a privately held technology company, founded in 2017 and headquartered in Silicon Valley. Vimaan is driving a paradigm shift in the way computer vision is enabled and leveraged for inventory management in the supply chain and logistics industry.

Vimaan’s proprietary suite of sensors, cameras, computer vision platform, and software backend provide an end-to-end solution for comprehensive and real-time tracking of inventory within the warehouse.

Vimaan has raised $50M in venture capital from blue chip Silicon Valley investors and has engagements with multiple Fortune 500 customers. The company has over 50 employees in various locations in the U.S. and one location in Bengaluru, India.

Why This Role Matters

We are building Vimaan’s Marketing Org: a high-energy function that powers growth, credibility, and customer engagement in the U.S. market and other parts of the globe. This role goes beyond traditional marketing: you’ll leverage AI, automation, and experimentation to scale awareness, drive qualified leads, and support our sales and product teams.

What You’ll Do

• Top-of-funnel growth: SEO, content marketing, LinkedIn campaigns, paid/earned channels, PR, backlink strategies.
• Mid- & bottom-funnel enablement: Conversion rate optimization, A/B testing, collateral creation, demo videos, and case studies.
• AI-first workflows: Partner with growth engineers to design AI-driven campaigns—automated content generation, personalized outreach, email sequencing, and dashboard reporting.
• Storytelling: Translate advanced AI + robotics products into clear, compelling narratives for customers and prospects.
• Execution management: Oversee contractors (India & U.S.), support trade show preparation, and make the case for team expansion as needed.
• Funnel ownership: Report KPIs weekly and monthly- traffic, conversion, lead quality, ROI.
• Collaboration: Work closely with engineering, operations, and customer support teams in India; engage U.S. sales teams and customers directly.

Candidate Profile

• 4–8 years in B2B marketing, SaaS, or enterprise tech (growth or product marketing).
• Engineering background (B.Tech from IIT/NIT/BITS or similar) and/or MBA (IIM/ISB or equivalent) preferred, but track record matters most.
• Proficiency with HubSpot (or similar CRM like Zoho), WordPress, SEMrush, Google Analytics, Search Console, Microsoft Clarity
• Demonstrated success in content creation, SEO, CRO, A/B testing, backlinking, PR, video storytelling.
• Fluent with AI tools (Jasper, Copy.ai, Apollo, Clay, or similar) for scalable marketing automation
• Excellent communication skills for U.S. customer and cross-time-zone collaboration.
• Organized, data-driven, and highly proactive—comfortable in a startup environment with minimal oversight.

Join Us If You…

• Thrive in fast-paced, hands-on environments.
• Are curious about how AI is reshaping marketing.
• Want to build the Marketing Org that drives adoption of cutting-edge warehouse automation across the U.S.

We are seeking an experienced Asia Digital, AI & Innovation Lead to spearhead our digital transformation and Artificial Intelligence (AI) initiatives across the dynamic and diverse Asia region. This pivotal role will be responsible for defining, driving, and executing our digital and AI strategy, ensuring strong alignment with global objectives while fostering regional collaboration, maximizing reuse of solutions, and championing regional needs with our global teams.

This is a unique opportunity to shape the digital future of our business in Asia, impacting how we engage with customers, optimize operations, and drive innovation.

Key Objectives of the Role:

• Strategic Alignment: Lead the development and execution of digital and AI strategies across Asia, ensuring seamless alignment with global digital directions and overall business objectives.
• Maximizing Reuse & Efficiency: Drive a culture of "build once, use many times" by identifying opportunities for common solutions, platforms, and AI models across countries within the region, thereby enhancing efficiency and reducing redundant efforts.
• Regional Collaboration & Synergy: Foster strong collaboration and knowledge sharing among country-level digital and AI teams, creating a cohesive regional digital ecosystem.
• Regional Advocacy & Global Influence: Act as the primary conduit between Asia regional teams and global digital/AI leadership, articulating regional needs, challenges, and opportunities to influence global roadmaps and priorities.
• Driving Innovation & Growth: Identify, pilot, and scale innovative digital and AI solutions that unlock new business value, improve customer experience, and enhance operational effectiveness across the region.
• Diverse Technology experience: Strong understanding of technology and its applicability in different scenarios. Defining and translating functional need into a right technology solution to help take a decision of build vs buy vs reuse.

Key Responsibilities:

• Develop and implement a comprehensive digital and AI roadmap for the Asia region, in close collaboration with country leads and global stakeholders.
• Identify, evaluate, and prioritize digital and AI initiatives based on strategic impact, business value, and alignment with global guidelines.
• Lead the adoption and localization of global digital and AI platforms, tools, and methodologies across Asian markets.
• Establish and lead regional communities of practice for digital and AI, promoting best practices, knowledge sharing, and capability building.
• Champion the reuse of digital assets, data models, and AI components across different countries within Asia to accelerate delivery and reduce costs.
• Collaborate closely with global digital, AI, IT, and business leadership to advocate for regional requirements and ensure they are incorporated into global strategies and product backlogs.
• Monitor regional digital and AI performance, tracking key KPIs (e.g., customer engagement, conversion rates, operational efficiency, AI model performance) and providing regular reports to regional and global leadership.
• Stay abreast of emerging digital technologies, AI trends, and competitive landscape in Asia to identify new opportunities and threats.
• Manage relationships with key external partners, vendors, and technology providers in the digital and AI space.
• Build, mentor, and develop a high-performing team of digital and AI professionals across the region (potentially with direct reports or matrixed leadership).
• Ensure all digital and AI initiatives comply with regional regulations, data privacy laws, and ethical AI principles.

Qualification:

• Engineering / Business Administration Masters degree
• Overall 10to 15 years of experience and 2+ years in leading regional or multi-country digital/technology initiatives within Asia.
• Experience in B2C, B2B or B2O environments is highly desirable.
• Proven track record of successfully implementing large-scale digital platforms, customer-facing applications, and/or AI/ML solutions.
• Deep understanding of digital marketing, e-commerce, customer experience (CX), data analytics, and emerging AI technologies (e.g., Generative AI, Machine Learning).
• Strong strategic thinking with the ability to translate business objectives into actionable digital and AI strategies.
• Exceptional leadership, influencing, and communication skills, with the ability to engage and align stakeholders at all levels, both regionally and globally.
• Demonstrated ability to drive collaboration and achieve results in a complex, matrixed organizational structure.
• Experience with Agile methodologies and DevOps principles.
• Strong analytical skills with the ability to interpret data and make data-driven decisions.
• Cultural sensitivity and experience working effectively in diverse Asian markets.
• Fluent in English (written and spoken).

Company Description

EmotionEase is a platform focused on enhancing emotional health, improving relationships, and fostering self-bonding.

Role Description

This is a part-time, remote role for an AI Marketing and Sales Automation Specialist. The primary responsibilities include developing and implementing AI marketing strategies, automating sales processes.

Requirements, Job Criteria

1)   Generate and capture leads with AI-powered tools using email workflows, chatbots, and automation to build consistent sales pipelines.

2)   Create SEO-optimized blogs, ad copy, and social posts using AI automation to attract traffic and engage audiences effectively.

3)   Automate lead generation and sales funnels by setting up AI-driven emails, workflows, and nurture sequences to convert prospects.

4)   Use AI analytics and tracking tools to monitor campaign performance, measure conversions, and generate actionable insights.

5)   Segment, analyze, and retarget audiences with AI for personalized marketing, higher conversions, and improved ROI.

6)   Design and implement AI-powered sales funnels that move customers from awareness to purchase with automated strategies.

7)   Craft hyper-personalized messaging for each prospect.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program management.
• Experience in the Machine Learning and Artificial Intelligence project life cycle, within projects involving AI capabilities and agentic systems.
• Experience designing across multiple platforms, and working with technical or design teams to create user flows, wireframes, and building user interface mockups and prototypes.
• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

Preferred qualifications:

• 10 years of experience in Program Management.
• Experience working with engineering, product management, research, and design teams to drive projects from conception to launch.
• Experience in project management methodologies, with the ability to manage complex, cross-functional projects.
• Ability to interpret technical data, performance metrics, and results to make informed project decisions.
• Ability to manage multiple complex projects in a fluid environment.

About The Job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager (TPM) in AI Innovation and Research (AIR), it's crucial to not only grow in fluid environments and communicate with executives, but also to be deeply involved in your areas of responsibility. This means making direct contributions to the efforts, which can range from operational to technical. You must be prepared to be engaged in the entire effort, from beginning to end.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Lead the execution of technical road maps for AI features, from conception to launch.
• Work with Program Manager and Engineers to ensure user needs and metrics are met for AI features. Collaborate with engineering, product, and research teams to define project scope, goals, and deliverables.
• Drive communication across geographically dispersed teams and time zones, ensuring everyone understands priorities and challenges. Serve as a critical liaison, especially for Bangalore-based teams and cross-functional partners in other locations.
• Contribute to a local team culture and operational excellence within the Bangalore site, collaborating with local leadership to support site-specific initiatives and foster cross-functional engagement.
• Coordinate and manage multiple Aura workstreams, ensuring delivery and alignment with the broader organisation wide AI strategy.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in Software Development.
• 3 years of experience in a technical leadership role overseeing projects.
• Experience with Generative AI (e.g., Large Language Models, Multi-Modal Models) and Agentic Technologies (e.e., MCP, ADK, A2A, etc.).

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 10 years of experience starting and growing teams, and setting them up for success while mentoring engineers and driving project execution.
• Experience building and deploying agentic systems or applications using Large Language Models.
• Experience with machine learning algorithms and tools, artificial intelligence, and deep learning.
• Ability to work effectively with cross-functional partners.

About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

This is a team in the AI Innovation and Research organization in Platforms and Devices (P&D), that focuses on developing SWE agents that leverage the latest advances in multimodal AI and coding models to revolutionize the way we develop software for Platforms and Devices (P&D), significantly reducing the toil faced by developers within P&D and all over the world.

Your work involves cutting-edge research and development as well as shipping products with our partner teams to reach millions of developers. This is a collaborative effort, with deep partnerships across Google. You will be aiming for incremental improvements and stretching the possibilities of how AI will revolutionize coding.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Establish and lead the India branch of the AI Innovation & Research SWE Agents team.
• Define and drive the team's technical strategy and roadmap, navigating the ambiguity of a "zero-to-one" product space.
• Collaborate with product teams across Platforms & Devices to identify high-impact developer workflows or products, develop and land agentic solutions that translate into direct product impact for these teams.
• Partner closely with AIR teams and Researchers across Alphabet (Google DeepMind, Google Research, Labs) to integrate emerging AI capabilities and state-of-the-art models into our agents.
• Foster a culture of rapid experimentation, innovation, and data-driven decision-making to continuously improve agent performance and reliability. Lead & mentor a team of engineers, cultivating a respectful and highly collaborative team environment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience in leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

• Experience in managing a team of ML Engineers.
• Experience in machine learning, deep learning, and AI development, with building and deploying production-level models and ML-Infrastructure.
• Experience in leading technical projects from conception to deployment.
• Ability to work with teams, including product managers, ML Software Engineers, and related stakeholders, to drive Artificial Intelligence (AI) adoption and integration.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

AI Innovation and Research is a team focused on accelerating Artificial Intelligence (AI) innovation and redefining how users interact with computing. The team builds the foundational technology that powers seamless and intelligent user experiences across various teams. Our mission is to build AI capabilities and core building blocks for on-device and ambient technologies.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

• Build capabilities in production that allow for the performant interaction between on-device , cloud Large Language Model (LLMs) or LLMs in a private environment.
• Work on architecture that spans devices and servers, while remaining adaptable to various compute and power capabilities.
• Work on horizontal technology, build the necessary infrastructure and pathways, drive customer onboarding, and own the upstreaming of user feedback and data back to related teams for Hybrid, Nano and Private Inference.
• Grow and manage a performing team of Software Engineers, Machine Learning (ML) engineers and ML researchers.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.