Product Manager – AI, Data Analytics

🕒 Maio 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $155.000 - $165.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

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WorkWave

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1984

☁️ SaaS

🚗 Transporte

🤝 B2B

SaaS • Transport • B2B

WorkWave é um provedor líder de software de gestão de serviços de campo, projetado para aumentar a eficiência de empresas em uma ampla gama de indústrias. Suas soluções de software simplificam operações, otimizam fluxos de trabalho e melhoram a experiência do cliente. Os produtos da WorkWave incluem software de CRM e ERP, gestão de operações de campo, roteamento e agendamento, faturamento e pagamentos, além de soluções de fintech e marketing. Com ferramentas adaptadas para indústrias como controle de pragas, limpeza, HVAC, cuidado de gramados e entrega, a WorkWave visa apoiar as empresas no aumento da eficiência operacional e na satisfação do cliente por meio de soluções impulsionadas por tecnologia.

Descrição

• Own the product vision and strategic roadmap for our external, customer-facing AI/ML models, data products, and analytics features. • Engage directly with strategic customers and design partners to understand their needs, validate roadmaps, and co-develop new features. • Define, measure, and communicate product success using metrics that correlate with customer value and SaaS business metrics (e.g., adoption, retention, ARR expansion). • Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations and product demos that communicate clear value to customers. • Define clear, testable requirements (epics and user stories) based on customer feedback, market analysis, and strategic priorities. • Write precise, detailed specifications for complex data processes, transformation logic, and aggregation rules. • Partner with Product Marketing, Sales, and Customer Success to develop launch plans, sales collateral, and communication plans for new features. • Use your analytical skills to conduct product-related data analysis, validate data assets, and prove/disprove hypotheses. • Act as the primary translator between customer requirements and data engineering, using your technical fluency to assess the viability of new ideas. • Work closely with data scientists to define requirements for AI/ML-driven features, ensuring the underlying data is structured for success.

🎯 Requisitos

• 3-5+ years of relevant experience in one of the fields described above. • A strong ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI or retention). • Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops. • Excellent communication and data storytelling skills. You can build consensus and manage expectations with diverse audiences (from engineering to sales to external clients). • A demonstrated ability to manage a backlog, make trade-offs, and align teams on a clear set of priorities. • You have solid SQL fundamentals and are comfortable writing queries (like joins and aggregations) to explore data and conduct analysis. • Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). You understand the principles of effective data visualization. • A strong functional understanding of data transformation techniques (aggregation, string manipulation, type casting).

🏖️ Benefícios

• Employees can expect a robust benefits package, including health and dental and 401k with company match • Find your perfect work/life balance with our Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays • Up to 4 weeks paid bonding leave • Tuition reimbursement • Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more! • 24/7 access to virtual medical care with Teladoc • Quarterly awards based on peer nominations • Regional discounts and perks • Opportunities to participate in charitable events and give back to the community