π Core Information
πΉ Job Title: Senior Product Marketing Manager
πΉ Company: Hyperscience
πΉ Location: US - All Country - Remote
πΉ Job Type: Full-time
πΉ Category: Software Development
πΉ Date Posted: 2025-04-04
πΉ Experience Level: 5-10 years
πΉ Remote Status: Remote OK
π Job Overview
Key aspects of this role include:
- Defining and scaling strategies for Hyperscience's AI-driven automation platform
- Focusing on ML models for data extraction, classification, and management at enterprise scale
- Shaping thought leadership, positioning, and messaging for the company's AI-driven solutions
- Collaborating with cross-functional teams to enable successful product launches and sales cycles
- Conducting market and competitive analysis to identify opportunities for differentiation
ASSUMPTION: This role requires a strong understanding of AI/ML technologies and the ability to translate complex technical concepts into clear business outcomes.
π Key Responsibilities
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Develop and refine messaging for Hyperscienceβs ML-powered document processing solutions
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Bring new ML model capabilities to market, ensuring successful internal enablement and external adoption
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Conduct market and competitive analysis to identify opportunities to differentiate in the intelligent automation space
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Partner closely with Product and Engineering to translate complex ML features into clear customer benefits and value propositions
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Build scalable resources to support enterprise sales cycles (ROI calculators, case studies, solution briefs)
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Create thought leadership content that showcases Hyperscienceβs ML innovations - whitepapers, webinars, and conference keynotes
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Monitor pipeline impact, product usage growth, and field team feedback
ASSUMPTION: This role requires strong collaboration skills and the ability to work effectively with technical teams.
π― Required Qualifications
Education: Bachelor's degree in Marketing, Business, or a related field (or equivalent experience)
Experience: 5+ years of B2B product marketing experience with complex, technical products
Required Skills:
- Proven track record marketing AI/ML products, intelligent automation platforms, or enterprise SaaS
- Deep understanding of the AI/ML software market, with the ability to translate technical capabilities into clear business outcomes
- Skilled at collaborating with technical teams and simplifying concepts like OCR, NLP, LLMs, VLMs, and model training
- Strong grasp of the fast-evolving generative AI ecosystem
- Excellent storytelling skills across industries and buyer personas
- Demonstrated success driving go-to-market strategies and partnering with Sales/Field teams to enable adoption and revenue growth
Preferred Skills:
- Experience in the financial services, insurance, or public sector industries
- Familiarity with enterprise SaaS sales cycles and processes
ASSUMPTION: This role requires a strong background in product marketing, with a focus on AI/ML technologies and enterprise SaaS solutions.
π° Compensation & Benefits
Salary Range: $124,000 - $185,000 USD per year
Benefits:
- Top-notch healthcare for you and your family
- A 100% 401(k) match for up to 6% of your annual salary
- Flexible PTO with the approval of your manager
- 12 weeks of parental leave and an additional 4 weeks for birthing parents
- Stock options
Working Hours: Full-time (40 hours per week), with flexible scheduling
ASSUMPTION: The salary range provided is based on industry standards for a Senior Product Marketing Manager role in the United States.
π Applicant Insights
π Company Context
Industry: Hyperscience operates in the software development industry, focusing on enterprise AI infrastructure software and hyperautomation solutions.
Company Size: Hyperscience has 201-500 employees, which means applicants can expect a mid-sized company structure with opportunities for growth and collaboration.
Founded: Hyperscience was founded in 2014, and it has since grown to become a market leader in hyperautomation and enterprise AI infrastructure software.
Company Description:
- Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software
- The company is on a mission to unlock the value of an organizationβs back office data and documents through the automation and orchestration of end-to-end processes
- Hyperscience enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue, positive and engaging customer, citizen, and patient experiences, and dramatic increases in productivity
Company Specialties:
- Artificial Intelligence
- Machine Learning
- Intelligent Automation
- Intelligent Document Processing
- Insurance Automation
- Data Extraction
- Digital Transformation
- Business Process Automation
- Business Process Management
- Financial Process Automation
- Enterprise Solutions
- Robotic Process Automation
- Billing & Payment Solutions
- Smart Document Processing
- Document Capture
- Invoice Processing
- Electronic Data Capture
- Handwritten Text Recognition
- Customer Onboarding
Company Website: http://hyperscience.com
ASSUMPTION: Hyperscience's focus on AI and automation technologies makes it an attractive option for candidates interested in cutting-edge, innovative solutions.
π Role Analysis
Career Level: This role is at the senior level, indicating that the ideal candidate will have significant experience in product marketing and a strong understanding of AI/ML technologies.
Reporting Structure: The Senior Product Marketing Manager will report directly to the Chief Marketing Officer and work closely with cross-functional teams, including Product, Engineering, and Sales.
Work Arrangement: This role is remote-friendly, with flexible scheduling and the opportunity to work from home or in one of Hyperscience's global offices.
Growth Opportunities:
- As a senior role, this position offers opportunities for mentorship and leadership within the marketing team
- Hyperscience's rapid growth and expansion present opportunities for career advancement within the company
- The company's focus on innovation and cutting-edge technologies provides opportunities for professional development and skill-building
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities for mentorship, leadership, and career advancement within the company.
π Location & Work Environment
Office Type: Hyperscience has offices in New York, Sofia, and Berlin, but this role is remote-friendly, allowing for flexible work arrangements.
Office Location(s): New York, Sofia, Berlin
Geographic Context:
- Hyperscience's global presence allows for collaboration with diverse teams and exposure to international markets
- The company's offices are located in major tech hubs, providing opportunities for networking and professional development
- Hyperscience's remote-friendly culture enables employees to work from home or in a co-working space, if preferred
Work Schedule: Full-time (40 hours per week), with flexible scheduling and the opportunity to work remotely
ASSUMPTION: Hyperscience's global presence and remote-friendly culture make it an attractive option for candidates seeking flexibility and international exposure.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the Talent Acquisition team
- Technical interview with the Product Marketing team
- Final interview with the Chief Marketing Officer
Key Assessment Areas:
- Understanding of AI/ML technologies and the AI/ML software market
- Ability to translate complex technical concepts into clear business outcomes
- Storytelling skills and the ability to create compelling narratives for different buyer personas
- Collaboration skills and the ability to work effectively with cross-functional teams
Application Tips:
- Highlight your experience marketing AI/ML products or enterprise SaaS solutions in your resume and cover letter
- Demonstrate your understanding of Hyperscience's products and the AI/ML software market in your application materials
- Prepare for interview questions that focus on your ability to translate complex technical concepts into clear business outcomes and your experience driving go-to-market strategies
ATS Keywords: AI/ML, product marketing, enterprise SaaS, intelligent automation, go-to-market strategy, thought leadership, sales enablement, market analysis, competitive differentiation
ASSUMPTION: Hyperscience's interview process is designed to assess candidates' technical skills and their ability to work effectively with cross-functional teams.
π οΈ Tools & Technologies
- Marketo
- Salesforce
- Google Suite
- Asana
- Slack
ASSUMPTION: Hyperscience uses a variety of marketing and project management tools to streamline its operations and facilitate collaboration.
π Cultural Fit Considerations
Company Values:
- Customer-centric
- Innovative
- Collaborative
- Data-driven
- Inclusive
Work Style:
- Fast-paced and dynamic
- Collaborative and team-oriented
- Data-driven and results-focused
- Innovative and forward-thinking
Self-Assessment Questions:
- Do you thrive in a fast-paced, dynamic work environment?
- Are you comfortable working with cross-functional teams and collaborating with technical stakeholders?
- Do you have a strong understanding of AI/ML technologies and the AI/ML software market?
- Are you able to translate complex technical concepts into clear business outcomes?
ASSUMPTION: Hyperscience's company culture is fast-paced, collaborative, and data-driven, with a strong focus on innovation and customer-centricity.
β οΈ Potential Challenges
- The fast-paced nature of the role may require candidates to adapt quickly to changing priorities and tight deadlines
- The need to collaborate with cross-functional teams and technical stakeholders may present communication challenges
- The requirement to stay up-to-date with the fast-evolving generative AI ecosystem may necessitate continuous learning and skill development
- The remote-friendly work arrangement may present challenges for candidates who prefer a traditional office environment
ASSUMPTION: These potential challenges are inherent to the role and the company's culture, and candidates should be prepared to adapt and thrive in a dynamic, fast-paced environment.
π Similar Roles Comparison
- This role is similar to a Senior Product Marketing Manager role in other enterprise SaaS or AI/ML software companies, but with a focus on hyperautomation and enterprise AI infrastructure software
- Hyperscience's focus on AI/ML technologies and enterprise SaaS solutions sets it apart from other companies in the software development industry
- This role offers opportunities for career advancement within the company, with potential growth into leadership or management positions
ASSUMPTION: This role is similar to other Senior Product Marketing Manager roles in the enterprise SaaS or AI/ML software industries, but with a unique focus on hyperautomation and enterprise AI infrastructure software.
π Sample Projects
- Developing and refining messaging for Hyperscience's ML-powered document processing solutions for the financial services, insurance, and public sector industries
- Conducting market and competitive analysis to identify opportunities to differentiate in the intelligent automation space and create thought leadership content
- Building scalable resources to support enterprise sales cycles, including ROI calculators, case studies, and solution briefs
ASSUMPTION: These sample projects are representative of the types of initiatives a Senior Product Marketing Manager at Hyperscience might undertake, with a focus on AI/ML technologies and enterprise SaaS solutions.
β Key Questions to Ask During Interview
- Can you describe the company's go-to-market strategy for its AI-driven automation platform, and how this role fits into that strategy?
- How does Hyperscience collaborate with cross-functional teams, and what is the expected level of interaction with technical stakeholders?
- What are the biggest challenges facing the company in the next 12-24 months, and how does this role contribute to addressing those challenges?
- How does Hyperscience support the professional development and growth of its employees, particularly in the marketing team?
- What is the company's approach to work-life balance, and how does this role fit into that approach?
ASSUMPTION: These interview questions are designed to provide insight into the company's go-to-market strategy, work environment, and commitment to employee growth and development.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Highlight your experience marketing AI/ML products or enterprise SaaS solutions in your resume and cover letter
- Prepare for interview questions that focus on your ability to translate complex technical concepts into clear business outcomes and your experience driving go-to-market strategies
- Follow up with the Hyperscience Talent Acquisition team one week after submitting your application to confirm receipt and inquire about next steps
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.