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Clicksign

Product Marketing Specialist, PMM

Clicksign

Product Marketing Specialist focusing on data analysis and market needs at Clicksign. Collaborating across teams to enhance brand value and customer experience through strategic initiatives.

Posted 5/18/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Conduct quantitative and qualitative market analyses, including emerging trends, competitors, customer behavior, and metrics such as adoption rates, churn, trial-to-paid conversion, and industry benchmarks (e.g., growth of the electronic signature subscription market).
  • Define the ICP (Ideal Customer Profile), map the customer journey, and identify friction points or opportunities to optimize retention and satisfaction.
  • Develop strategic positioning frameworks and value propositions, translating complex technical features (such as APIs and integrations) into tangible, measurable benefits.
  • Lead product launch planning and execution, coordinating timelines, resources, and success metrics to maximize impact.
  • Use data analysis tools to extract actionable insights and propose strategic adjustments aligned with business objectives.
  • Map direct and indirect competitors, analyzing pricing strategies, positioning, market gaps, and disruptive threats.
  • Collaborate with product, sales, and customer success teams to align on revenue, adoption, and expansion goals, fostering cross-functional synergies.
  • Act as the “voice of the customer” in product planning, prioritizing features based on feedback and usage data to drive innovation.
  • Conduct customer interviews and research to identify churn drivers, upsell opportunities, and qualitative insights that inform continuous improvements.
  • Manage internal product communications, including training, updates, and enablement materials for sales and support teams, ensuring message consistency.
  • Lead internal and external stakeholder management, aligning expectations, facilitating cross-functional meetings, and resolving conflicts.

Requirements

What you’ll need
  • Bachelor’s degree in Marketing, Journalism, Advertising, Business Administration, Communications, Engineering, or related fields.
  • Proven experience in product marketing, preferably in high-performance environments.
  • Organized, deadline-oriented, and proactive with a collaborative mindset to adapt in dynamic environments.
  • Advanced skills in data analysis, metrics, and feedback, with the ability to translate them into actionable strategies.
  • Excellent written and verbal communication skills, with a focus on storytelling and influencing stakeholders at all levels.
  • Ability to communicate technical insights to non-technical audiences.
  • Knowledge of AI tools for marketing automation, campaign personalization, and predictive analytics.
  • Proficiency in advanced data analysis for visualization and data modeling.
  • Experience with hard skills such as SEO/SEM, marketing automation, and CRM integration.
  • Differentiators
  • Proficiency in competitive intelligence tools.
  • Certifications in AI applied to marketing or data analysis.

Benefits

Comp & perks
  • 100% remote work.
  • A culture of trust, results-oriented with significant challenge and learning opportunities.
  • Autonomy and ownership in a collaborative and empathetic environment.
  • A feedback culture and regular 1:1s with human leadership and no micromanagement.
  • Comprehensive benefits including: meal/food allowance, childcare support, home office allowance, health, education and culture benefits, Gympass, birthday day off, discounts on therapy and English courses, among other partnerships.

ATS Keywords

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Hard Skills & Tools
data analysismetricsSEOSEMmarketing automationCRM integrationAPIsdata visualizationdata modelingcompetitive intelligence
Soft Skills
collaborative mindsetorganizeddeadline-orientedproactiveexcellent written communicationexcellent verbal communicationstorytellinginfluencing stakeholdersadaptabilityconflict resolution
Certifications
AI applied to marketingdata analysis