Product Strategy Director
Envestnet · United States · 3 wk ago
RemoteRemoteBusiness Development$152k–$190k/yrFull-time
About the role
The primary work location for this role is the East Coast with a remote work model.
Team you’ll join
You’ll join a dynamic Product Strategy team at the center of Envestnet’s evolving product organization, working closely with product leaders, engineering, marketing, and executive leadership.
How you’ll contribute
- Stand up the frameworks that make the product organization more strategic, embedding AI prioritization and governance into PM teams
- Own the competitive and ecosystem lens for leadership
- Evolve into a sounding board as those capabilities mature across the organization
What you’ll need to bring
- 7+ years of experience in product management, strategy consulting, or a combination — with demonstrated ownership of strategic work products
- Genuine fluency in AI for product capabilities: you understand how LLMs, agents, and AI workflows actually work, can evaluate vendor claims critically, and can frame AI opportunities in terms of business and product value
- Strong analytical and structured thinking skills — you can synthesize ambiguous inputs into clear frameworks and recommendations
- Hands-on fluency with modern AI tooling (e.g., Claude/Copilot), including prompt/workflow design, agentic workflow creation, and rapid iteration; comfortable using AI tooling across the product lifecycle including prototyping tools to turn concepts into testable experiences.
- Excellent written and verbal communication; comfortable presenting to VP and C-suite audiences
- Experience working across product, engineering, and business stakeholders in a matrixed environment
- Intellectual curiosity and learning velocity — you stay current on AI capabilities and industry shifts, and proactively deepen your understanding to sharpen product decisions
- Consensus builder with a bias for action — you propose paths forward, align stakeholders, and help land clear decisions
Nice-to-haves
- Background in wealth management, fintech, or enterprise SaaS
- Experience with competitive intelligence methodologies or partnership evaluation
- Prior work in an AI-adjacent role (AI product, AI strategy, data products)