Product Manager – III

Job not on LinkedIn

🔥 1 hour ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform (developed by Ceridian) that provides payroll, HR, workforce management, time & attendance, benefits administration, and talent management in a unified SaaS application for employers. It’s designed as an enterprise-focused, B2B solution for managing employee lifecycle and payroll compliance.

📋 Description

• Own data products powering ML models, such as vehicle attributes, condition, and history. • Lead as the connective tissue between Engineering, Data Science, ML teams, and Commercial stakeholders. • Collaborate with engineering and data science teams on ML model feature definition and selection, ensuring inputs align with product goals, customer behavior, and measurable business outcomes. • Collaborate with engineering and data science teams to define, evaluate, and improve model performance metrics aligned to product outcomes and customer value. • Employ a hypothesis-driven approach to product development, converting ambiguity and assumptions into a clear framework for experimentation and validation via experimentation frameworks, including A/B testing, and evaluating offline versus online metrics to measure product and model performance. • Ensure data quality, coverage, and the reliability of underlying models and services that power critical product experiences and business decisions. • Translate complex data from multiple sources—including user behavior, seller performance, and model outputs—into actionable insights that drive product prioritization and innovation. • Improve inventory liquidity, pricing accuracy to drive trust and optimize the marketplace. • Identify high-leverage product opportunities through ranking improvements, data enrichment, and better use of signals to improve relevance, conversion, and customer outcomes. • Guide product strategy by evaluating and clearly communicating critical trade-offs between technical implementation and business value (e.g., performance vs. explainability). • Define and own a 6–12 month roadmap across Data, Search, and ML-driven features. • Articulate and advocate for product strategy, roadmap, and business outcomes to executive leadership to secure buy-in and alignment.

🎯 Requirements

• 4+ years industry (Auto-tech) / Product Management experience • Experience owning data-heavy or technically complex product areas, including data pipelines, schema and event design, platform integrations, and prioritizing product investments that improve data accessibility, usability, and business impact. • Strong understanding of modern data hygiene practices, including data quality management, governance, lineage, validation, and the processes required to ensure trusted, reliable, and scalable data assets across the organization. • Demonstrated success in identifying and implementing LLM-based solutions to augment user workflows, resulting in significant efficiency gains or enhanced capabilities. • Proven track record of leading the end-to-end delivery of complex, technical products, from ideation through to launch and iteration, consistently driving measurable business impact. • Ability to drive product strategy by translating complex data into actionable insights, which requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous experimentation design, and a deep understanding of metrics architecture • Experience working cross-functionally with engineering teams • Agile experience and release planning prioritization skills • Presentation skills - Ability to simplify complex data and technical systems • Mentoring and coaching skills • Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Data Science, or similar). Advanced degrees are a plus.