π Core Information
πΉ Job Title: Product Marketing Manager
πΉ Company: PredictHQ
πΉ Location: San Francisco, California, United States (Hybrid)
πΉ Job Type: Full-Time
πΉ Category: Software Development
πΉ Date Posted: June 5, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: Hybrid (San Francisco-based)
π Job Overview
Key aspects of this role include:
- Defining and leading a new category in demand intelligence
- Owning product positioning, messaging, and go-to-market strategy
- Collaborating with Product, Data, and GTM teams to guide roadmap decisions
- Championing the real-world impact of PredictHQ's data for key personas
ASSUMPTION: This role requires a strategic marketer comfortable working at the intersection of strategy, storytelling, and systems thinking, with a strong background in B2B product marketing for technical or data-driven products.
π Key Responsibilities
β
Elevate PredictHQ's positioning as the demand intelligence leader within the first 3 months
β
Develop persona-based messaging frameworks for three new vertical use cases within 5 months
β
Create a full set of product marketing assets to support field enablement within 5 months
β
Build and operationalize competitive intelligence systems within 7 months
β
Become the voice of the customer for the product roadmap within 9 months
β
Launch and scale go-to-market for two major product releases within one year
ASSUMPTION: This role involves a mix of strategic planning, cross-functional collaboration, and execution, with a focus on driving market awareness, pipeline growth, and product adoption.
π― Required Qualifications
Education: Bachelor's degree required
Experience: Proven success in B2B product marketing for technical or data-driven products (e.g., AI/ML platforms, APIs, developer tools, analytics SaaS)
Required Skills:
- Strong storyteller with the ability to simplify technical concepts and position them around business impact
- Strategic thinker with deep empathy for technical buyers
- Experienced in launching products, defining go-to-market motions, and building messaging from the ground up
- Skilled in cross-functional collaboration, especially with Product, R&D, Sales, and Growth teams
- Confident in managing competitive research, market intelligence, and persona development
Preferred Skills:
- Experience in the software development or data analytics industries
- Familiarity with AI, machine learning, or predictive analytics
ASSUMPTION: Candidates should have a strong background in B2B product marketing, with a focus on technical or data-driven products, and be comfortable working with cross-functional teams to drive product adoption and market awareness.
π° Compensation & Benefits
Salary Range: $120,000 - $160,000 per year (Based on industry standards for a Product Marketing Manager with 5-10 years of experience in the San Francisco Bay Area)
Benefits:
- Health care and benefits administered by Sequoia One
- Flexible time off policy
- 10 weeks of fully paid parental leave
- Paid Birthday Leave
- Paid Family and Friends Day Leave
- Flexible work arrangements that allow for work-life balance
- Strong focus on your training and development
- Options in a fast-growing company in its early stages
- $500 annual stipend to support flexible working
Working Hours: Full-time (40 hours/week) with flexible work arrangements
ASSUMPTION: The salary range is estimated based on industry standards for a Product Marketing Manager with the required experience level in the San Francisco Bay Area. The benefits package is comprehensive and designed to support employee well-being and work-life balance.
π Applicant Insights
π Company Context
Industry: Software Development, specifically focusing on AI-powered predictive demand intelligence
Company Size: 51-200 employees (Mid-size)
Founded: 2015, with offices in San Francisco and Auckland
Company Description:
- PredictHQ is a pioneering platform that turns business leaders into visionaries by enabling them to foresee the shape of demand
- It provides an AI-powered ecosystem that accurately identifies and predicts the impact of real-world events on future revenue
- PredictHQ benefits a wide range of clients, from Uber to Walgreens, by empowering operations, supply chains, marketing, and forecasting to self-adjust and prevent billions in lost opportunities each year
Company Specialties:
- API
- Business Intelligence
- Local Events API
- Demand Forecasting
- Revenue Management
- Dynamic Pricing
- Predictive analytics
- Data centralization strategies
- Event Data
- Event Visibility
- Location Intelligence
- Delivery Optimization
- Events API
- Real-world event database
- Demand Intelligence
Company Website: www.predicthq.com
ASSUMPTION: PredictHQ is a mid-sized, fast-growing company with a strong focus on innovation and data-driven decision-making. Its unique value proposition lies in its ability to predict the impact of real-world events on future revenue, empowering businesses to make smarter, faster decisions.
π Role Analysis
Career Level: Mid-level to senior, with the potential for growth and impact within the organization
Reporting Structure: This role reports directly to the Chief Marketing Officer (CMO) and collaborates closely with Product, Data, Sales, and Growth teams
Work Arrangement: Hybrid, with a focus on collaboration and team connection in the office and flexibility for remote work
Growth Opportunities:
- Potential to grow into a leadership role as the company expands
- Opportunity to shape the future of demand intelligence and make a significant impact on the company's success
- Chance to work on cutting-edge technology and learn from experienced team members
ASSUMPTION: This role offers significant growth potential and the opportunity to make a real impact on the company's success, particularly as PredictHQ continues to grow and expand its offerings.
π Location & Work Environment
Office Type: Hybrid, with a focus on collaboration and team connection in the office
Office Location(s): 575 Market St, 4th Floor, San Francisco, California 94105, US
Geographic Context:
- San Francisco is a major tech hub with a vibrant startup scene and numerous networking opportunities
- The city offers a diverse range of cultural attractions, dining options, and outdoor activities
- San Francisco has a Mediterranean climate, with mild winters and cool summers
Work Schedule: Full-time (40 hours/week) with flexible work arrangements
ASSUMPTION: The hybrid work arrangement allows for a balance between collaboration and flexibility, while the San Francisco location offers a dynamic tech environment and numerous professional networking opportunities.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with the HR team
- Interview with the hiring manager (CMO)
- Interview with cross-functional team members (Product, Sales, or Growth)
- Final interview with the CEO or another senior leader
Key Assessment Areas:
- Strategic thinking and problem-solving skills
- Cross-functional collaboration and communication
- Storytelling and messaging abilities
- Market research and competitive analysis skills
- Alignment with company values and culture
Application Tips:
- Highlight your experience with B2B product marketing for technical or data-driven products
- Include examples of your work, such as positioning documents, launch briefs, messaging guides, or industry content
- Tailor your resume and cover letter to emphasize your relevant skills and experiences
- Prepare thoughtful questions about the role, team, or company to ask during the interview
ATS Keywords: Product Marketing, B2B, Technical Products, Data-Driven Products, AI, Machine Learning, APIs, Developer Tools, Analytics SaaS, Storytelling, Strategic Thinking, Cross-Functional Collaboration, Competitive Research, Market Intelligence, Persona Development
ASSUMPTION: The interview process is designed to assess your strategic thinking, cross-functional collaboration, and alignment with company values, with a focus on your experience in B2B product marketing for technical or data-driven products.
π οΈ Tools & Technologies
- Marketo
- Salesforce
- Google Analytics
- Asana
- Slack
- Zoom
ASSUMPTION: These tools are commonly used in B2B product marketing roles and will be essential for success in this position.
π Cultural Fit Considerations
Company Values:
- Teamwork to achieve huge things
- Empathetic and hard-working culture
- Proactive approach to helping teammates grow and thrive
- Focus on work-life balance and putting family and friends first
Work Style:
- Collaborative and team-oriented
- Focused on driving results and making an impact
- Adaptable and open to feedback
Self-Assessment Questions:
- Do you thrive in a collaborative, team-oriented environment?
- Are you comfortable working with cross-functional teams to drive results?
- Do you have a proactive approach to helping others grow and succeed?
ASSUMPTION: PredictHQ values teamwork, collaboration, and a strong work ethic, with a focus on helping teammates grow and thrive in their careers while maintaining a healthy work-life balance.
β οΈ Potential Challenges
- Working in a fast-paced, dynamic environment with a growing company
- Balancing strategic planning with day-to-day execution and cross-functional collaboration
- Keeping up with the latest trends and developments in AI, machine learning, and predictive analytics
- Competing with established players in the market and differentiating PredictHQ's offerings
ASSUMPTION: These challenges are inherent in working for a fast-growing company in a competitive market, and successful candidates will be able to thrive in this dynamic environment.
π Similar Roles Comparison
- This role is unique in its focus on demand intelligence and predictive analytics, with a strong emphasis on strategic thinking and cross-functional collaboration
- Compared to other product marketing roles, this position offers significant growth potential and the opportunity to make a real impact on the company's success
- Career paths in this role may include growth into leadership positions as the company expands
ASSUMPTION: This role offers a unique opportunity to work at the intersection of strategy, storytelling, and systems thinking, with a strong focus on driving market awareness, pipeline growth, and product adoption.
π Sample Projects
- Developing a comprehensive competitive analysis and positioning guide for PredictHQ's platform
- Creating a detailed buyer persona framework for three new vertical use cases
- Launching a major product release, including segmentation, packaging, and launch performance tracking
ASSUMPTION: These sample projects illustrate the strategic, cross-functional, and execution-focused nature of the role, with a strong emphasis on driving market awareness, pipeline growth, and product adoption.
β Key Questions to Ask During Interview
- How does this role fit into the company's long-term growth and expansion plans?
- What are the biggest challenges facing the product marketing team in the next 6-12 months, and how can this role help address them?
- How does PredictHQ differentiate itself from competitors in the market, and what opportunities exist to further enhance our competitive position?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does PredictHQ support the work-life balance and personal growth of its employees?
ASSUMPTION: These questions are designed to assess the strategic direction of the company, the challenges facing the product marketing team, and the opportunities for growth and development in the role.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant skills and experiences in B2B product marketing for technical or data-driven products
- Prepare examples of your work, such as positioning documents, launch briefs, messaging guides, or industry content, to include with your application
- Prepare thoughtful questions about the role, team, or company to ask during the interview
- Follow up with the hiring manager one week after submitting your application to express your continued interest in the position
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.