cresta
Associate Forward Deployed Product Manager
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 2+ years
- Compensation
- and your family. OTE Range : $130,000–$170,000 + Offers Equity We have notic
- Department
- Product
- Posted
- 2026-06-05T12:09:46-04:00
Key Requirements
Domain Knowledge
- Banking
- Finance
- Healthcare
- Hospitality
- Insurance
- SaaS
Benefits & Perks
cludes equity and a comprehensive benefits package for you and your family.
Requirements
You deliver with urgency and care
Comfortable working with ambiguity and learning quickly in a dynamic startup environment
Previous exposure via clients or projects to the travel & hospitality, healthcare, insurance, and financial industry domains
Experience in a startup or high-growth SaaS environment
Experience working closely with AI or LLM-first products
Technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)
Compensation & Benefits
We offer a comprehensive and people-first benefits package to support you at work and in life:
Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Responsibilities
As an Associate Forward-Deployed Product Manager on the AI Agents team, you will create, deploy, and optimize AI Agents that transform our customers’ businesses and delight their customers.
This customer-facing role blends product thinking, prompt engineering, data-driven insights, and project leadership with Strategic & Fortune 500 companies.
In this role, you’ll collaborate with senior Forward-deployed Product Managers and Forward-deployed Engineers (FDEs) to support the build of AI Agent products.
Drive AI Agent deployments for customers across the lifecycle — from pre-sales to post-launch optimization
Define AI roadmaps for the customer’s executive team by blending both quantitative analysis and qualitative insights; leverage automated conversation discovery tools in addition to traditional data analysis
Iterate prompt & context engineering to achieve customer’s use case and intended business outcomes