This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Product Manager – Data & Analytics in the United States.
This role offers an exciting opportunity to lead the development and execution of AI-driven data and analytics products that transform customer workflows and deliver actionable insights. You will define product strategy, prioritize initiatives, and work cross-functionally with engineering, product, sales, and marketing teams to drive innovation and operational efficiency. The position emphasizes leveraging AI/GenAI technologies to create intelligent workflows that accelerate insight discovery and decision-making. You will also oversee monetization strategies, ensure governance and safeguards, and establish market-leading capabilities that address critical business challenges. This is a high-impact role in a collaborative, fast-paced environment with a focus on emerging technologies and measurable outcomes.
· Define strategy for AI-augmented workflows and analytics capabilities across data platforms, focusing on Archive and eDiscovery use cases.
· Develop market research, product requirement documents (PRDs), business cases, and roadmap prioritization in collaboration with engineering teams.
· Drive monetization strategies for AI-powered features while ensuring governance, risk mitigation, and cost efficiency.
· Collaborate with Product, Engineering, Sales, and Marketing teams to develop go-to-market plans that enable adoption and long-term success.
· Convert product strategy into detailed requirements, prototypes, and user stories that can be translated into development processes.
· Partner with cross-functional teams across R&D, Legal, Finance, and Customer Success to ensure initiatives align with customer needs and business goals.
· 8+ years of experience in product management with a focus on data-driven products, workflow automation, and AI/GenAI technologies.
· Experience developing conversational tools, chatbots, and agentic AI systems.
· Strong technical fluency in AI, machine learning, and data platforms, with the ability to navigate technical constraints.
· Customer-focused mindset with experience translating insights into measurable business impact.
· Proven ability to collaborate across distributed teams in multiple time zones.
· Proficiency with product management and software engineering tools such as Jira, Confluence, Miro, and Figma.
Preferred: Knowledge of communications surveillance/compliance in Financial Services, exposure to AWS, security, and metered billing systems.
· Healthcare insurance including medical, dental, and vision, plus flexible spending accounts.
· Flexible personal time off policy and remote/hybrid work arrangements.
· 401K match with full vesting from day one.
· Sabbatical program available after six years of service.
· Employee recognition programs to celebrate contributions and align with core values.
· Inclusive, high-performing environment encouraging growth and diversity.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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