Senior Director of Product Marketing
New
P
PindropCybersecurity, identity verification
Location: US - RemoteFull-TimeDirector
SalaryUS Base Pay Range $225,000 — $270,000 USD; eligible for additional compensation in the form of an annual discretionary bonus.
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Job Details
- Experience
- 7+ years of B2B SaaS product marketing experience, including at least 2 years in a market-facing role. Nice-to-have: 10+ years overall experience in product marketing, cybersecurity, or high-tech SaaS environments.
- Required Skills
- CybersecuritySalesforce
Requirements
- Have 7+ years of B2B SaaS product marketing experience, including at least 2 years in a market-facing role.
- Have experience translating technical concepts, especially AI or machine learning, for varied audiences.
- Have direct marketing experience in security, authentication, AI/ML, or cloud contact center solutions.
- Have experience with go-to-market strategy and product launches.
- Bring deep cybersecurity industry understanding, including exposure to AI trends, data protection, and Zero Trust approaches.
- Have domain expertise in areas such as SIEM, EDR, or voice biometrics.
- Demonstrate advanced proficiency with Slack, Salesforce, Marketo, DemandBase, and Google Analytics.
- Communicate effectively in writing and verbally, including presenting technical ideas and outcomes to external audiences.
- Nice to have: 10+ years overall experience in product marketing, cybersecurity, or high-tech SaaS environments.
- Nice to have: experience leading a product marketing team and developing talent.
- Nice to have: a bachelor's degree in Marketing, Computer Science, Business, or a related field; an advanced degree is preferred.
- Nice to have: familiarity with cloud security, data privacy regulations, and emerging security technologies.
Responsibilities
- Lead product positioning, launch processes, and customer insight programs for AI-driven security and authentication solutions.
- Define and execute go-to-market strategies for new and existing products with Product, Engineering, and Marketing.
- Translate AI models, machine learning, and deepfake detection into messaging and proof points for technical and business audiences.
- Develop content and sales enablement materials for technical buyers, business leaders, and customer segments.
- Document customer buying journeys, personas, and the competitive landscape.
- Represent AI-centric products through industry presentations, analyst briefings, and written media.
- Drive competitive and market intelligence, including research into buyer personas, customer journeys, and security market trends.
- Manage product marketing plans, budgets, and program KPIs; support and train sales channels.
- Lead product and feature launches, customer success stories, case studies, and internal and public-facing documentation.
- Mentor and develop a product marketing team.
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