944 IT & Software Developer jobs in the US
Requirements
Must:
- 8+ years of experience in B2B marketing, ideally in technology, AI, or enterprise software.
- Demonstrated success in launching new products or business units, including developing go-to-market strategies and executing campaigns.
- In-depth knowledge of AI technologies, cloud services, and enterprise solutions.
- Proficiency in content marketing, digital marketing, demand generation, and organizing events.
- Exceptional written and verbal communication skills; adept at translating complex ideas for executive audiences.
- Strong project management capabilities and experience leading cross-functional teams in a dynamic environment.
Responsibilities
- Develop and implement the marketing strategy for the AI Business Unit, focusing on positioning, messaging, and competitive advantages.
- Collaborate with AI solution leaders and industry teams to communicate technical capabilities as clear value propositions for clients.
- Identify target markets, buyer personas, and formulate key messaging tailored for enterprise clients across various sectors.
- Position the AI Business Unit as a leader in the enterprise AI space.
- Oversee the creation of content assets, including whitepapers, case studies, blogs, webinars, and presentation materials for events.
- Represent the business unit at industry events, webinars, and in media discussions.
- Generate demand through multi-channel marketing campaigns encompassing digital, social media, events, and account-based strategies.
- Work jointly with sales teams to produce client-facing presentations, proposals, and training materials.
- Monitor and analyze marketing performance, fine-tuning campaigns for lead generation and conversion rates.
- Collaborate with internal stakeholders (e.g., AI product teams, Commercial teams, Service Lines) to ensure consistent messaging and campaign alignment.
- Engage with technology and ecosystem partners (e.g., Microsoft, Google, OpenAI, ServiceNow) to co-market solutions and initiatives.
- Organize launch activities and internal communications to inform and energize the organization about new AI products.
Description
We are a dynamic and innovative team at Cognizant, focused on paving the way for our AI Business Unit. We offer a collaborative work environment where creativity meets cutting-edge technology. Our aim is to establish ourselves as leaders in the enterprise AI market while delivering exceptional value to our clients. You will enjoy opportunities for professional development and engaging in meaningful work, all while being part of a supportive culture located within a thriving technology sector.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 944 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
D3 Security Management Systems, LYNKED Inc., Confidential, Snaplii, DependableIT Group INC, The Charles Stark Draper Laboratory, Inc., Sorona Inc. among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 109 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 109 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.