Hyperscience

Demand Generation Marketing Lead, Public Sector

United States

Hyperscience Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Hyperautomation & AI Infrastructure SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in Marketing, Communications, or a related field, along with a minimum of 7 years of experience in demand generation marketing, preferably within the public sector. Strong analytical skills and experience with marketing automation platforms are essential, as is a deep understanding of B2G marketing principles and strategies. Experience in the technology industry, particularly with AI or automation solutions, is highly desirable.

Responsibilities

As the Public Sector Demand Generation Marketing Lead, you will be responsible for developing and executing integrated demand generation campaigns, collaborating with sales teams to drive awareness and engagement, and overseeing the creation of campaign assets across multiple channels. You will also manage the planning and execution of field events and webinars, analyze campaign performance, and provide data-driven insights to optimize marketing strategies, ensuring alignment with revenue goals for the public sector.

Skills

Campaign Strategy
Campaign Planning
KPI Definition
Resource Allocation
Cross-Functional Collaboration
Email Marketing
Digital Advertising
Social Media
Content Syndication
SDR Outbound
Account-Based Marketing (ABM)
Webinar Management
Asset Creation

Hyperscience

AI platform for automating business processes

About Hyperscience

HyperScience provides an enterprise AI platform that automates business processes using machine learning. The platform is trained by humans, which allows it to perform complex tasks with high accuracy. It serves various clients, including insurance companies, federal agencies, and financial institutions, helping them to significantly speed up processes and reduce costs. For example, it has enabled an insurance provider to process claims 80% faster and helped a federal agency save $45 million annually by automating claims processing with over 96% accuracy. HyperScience operates on a business-to-business model, customizing its platform for each client and charging them for its use. The goal of HyperScience is to enhance efficiency and cost-effectiveness for businesses through the application of AI and automation.

Key Metrics

New York City, New YorkHeadquarters
2014Year Founded
$281MTotal Funding
SERIES_ECompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Top notch healthcare for you and your family
30 days of paid leave annually to help nurture work-life symbiosis
A 100% 401(k) match for up to 6% of your annual salary
6 months paid parental leave (or double salary to pay for your partner’s unpaid leave)
Free travel for any person accompanying a breastfeeding mother and her baby on a business trip,
A child care and education stipend up to $3,000 per month, per child under the age of 21 for a maximum of $6,000 per month total
Flexible work hours that are compatible with having children
Two weeks of severance for every 6 months served with a minimum of 1 month severance

Risks

Increased competition from companies like Manifest with FedRAMP High authorization.
Rapid evolution of generative AI technologies may outpace Hyperscience's current offerings.
Reliance on partnerships with Google Cloud and Hewlett Packard Enterprise poses potential risks.

Differentiation

Hyperscience's AI platform is trained by humans for high accuracy in complex tasks.
The company offers a unique Hypercell platform for generative AI applications.
Hyperscience is recognized as a leader in document mining and analytics platforms.

Upsides

Collaboration with Google Cloud enhances AI model development for enterprise applications.
The Hyperautomation Network expands Hyperscience's partner ecosystem for AI-driven process automation.
FedRAMP High authorization positions Hyperscience to handle sensitive government data securely.

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