Accountabilities:

End-to-End Product Ownership: Lead the complete product lifecycle across the Analytics and Location Performance Optimization (LPO) portfolios, from discovery and product vision to development, launch, adoption, and continuous improvement.
Product Strategy and Roadmap: Define and communicate a clear product strategy that balances long-term platform development, customer needs, market opportunities, and short-term commercial priorities.
Analytics Product Development: Drive the evolution of the platform's analytics and reporting capabilities, creating intuitive dashboards, data visualizations, and actionable insights that help customers understand and improve business performance.
Technical Collaboration: Work closely with engineering and data teams on event tracking, instrumentation, data models, APIs, pipelines, and analytics infrastructure to ensure reliable and scalable product capabilities.
LPO Portfolio Management: Guide the development of conversion-focused and SEO-driven solutions that help multi-location brands transform local search visibility into measurable foot traffic, leads, and revenue.
Customer Discovery: Conduct ongoing research with customers and internal stakeholders through interviews, usability testing, quantitative analysis, and market research to identify opportunities and validate product hypotheses.
Agile Delivery and Prioritization: Manage product backlogs and priorities across two squads, translating complex business and technical requirements into clear user stories, acceptance criteria, and actionable development plans.
Performance Measurement: Define and monitor key SaaS performance indicators, including product adoption, retention, net revenue retention (NRR), and conversion impact, using data to guide decisions and communicate progress to leadership.
Cross-Functional Leadership: Collaborate with engineering, design, data, marketing, sales, and customer success teams across multiple regions to ensure alignment and successful product delivery.
AI Integration: Leverage AI tools to improve daily productivity and identify opportunities to integrate AI-powered capabilities into the Analytics and LPO product portfolios where they deliver meaningful customer value.
Strategic Communication: Present product recommendations, prioritization decisions, and performance insights to executive stakeholders through concise, compelling, data-driven communication.
Continuous Improvement: Identify opportunities for product repositioning, platform modernization, and process improvements while promoting effective product practices across the organization.

Requirements

Proven experience as a Product Manager, with a strong track record in analytics, business intelligence (BI), data-heavy products, or reporting platforms. This is the primary requirement.
Demonstrated experience delivering analytics products, including reporting interfaces, dashboards, data visualization tools, and customer-facing insights.
Strong technical understanding of product analytics infrastructure, including event tracking, instrumentation, data flows, data models, APIs, and pipelines.
Hands-on familiarity with analytics platforms and tools such as Amplitude, Mixpanel, or equivalent solutions.
Ability to engage confidently in technical discussions with engineering and data teams and translate complex technical concepts into clear product requirements.
Strong strategic and commercial mindset, with the ability to connect product decisions to revenue growth, customer retention, conversion, and business performance.
Experience managing multiple product portfolios, working across several squads, or independently coordinating complex product initiatives in parallel.
Excellent prioritization and execution skills, with the ability to balance speed and rigor and apply pragmatic decision-making approaches.
Exceptional written and verbal English communication skills, including the ability to present ideas clearly and persuasively to executive stakeholders.
Strong critical thinking and problem-solving abilities, with the confidence to defend product decisions through structured reasoning and evidence.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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