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# Associate Forward Deployed Product Manager

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/cresta.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 130k–170k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceDirectorPublished14 Oct 2026Apply before13 Nov 2026Listing views46Application actions4Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

This customer-facing Associate Forward-Deployed Product Manager role deploys and optimizes AI agents for mid-market through Fortune 500 customers. The position combines product management, prompt and context engineering, quantitative analysis, experimentation, and implementation leadership. The associate will partner with senior forward-deployed PMs and engineers throughout presales, deployment, launch, and post-launch optimization. Success requires comfort with ambiguity, rapid execution, executive-facing communication, and periodic travel. It is well suited to an early-career product, consulting, implementation, or technical customer-facing professional seeking hands-on generative AI product experience.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe role requires translating ambiguous customer business needs into working AI-agent solutions while iterating on prompts, evaluations, and A/B tests. It also demands credible communication with senior customer stakeholders in a high-growth, fast-moving environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive$150,000US market range (per year)$120k–$175k0$192.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Cresta discloses an OTE range of $130,000–$170,000 USD. The annual cadence is inferred because no pay period is stated, and this range is consistent with annual US compensation conventions for an associate-level, customer-facing AI product role. A reasonable estimated US market range is $120,000–$175,000 per year, with a job-range midpoint of $150,000 per year.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Product management](https://jobicy.com/jobs?search_keywords=Product%20management.md)[AI agent deployment](https://jobicy.com/jobs?search_keywords=AI%20agent%20deployment.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Context engineering](https://jobicy.com/jobs?search_keywords=Context%20engineering.md)[Customer implementation](https://jobicy.com/jobs?search_keywords=Customer%20implementation.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Conversation intelligence](https://jobicy.com/jobs?search_keywords=Conversation%20intelligence.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Executive communication](https://jobicy.com/jobs?search_keywords=Executive%20communication.md)[Project leadership](https://jobicy.com/jobs?search_keywords=Project%20leadership.md)[SaaS](https://jobicy.com/jobs?search_keywords=SaaS.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md)[Business analysis](https://jobicy.com/jobs?search_keywords=Business%20analysis.md)

Sample interview questionsDescribe how you would approach deploying an AI agent for a customer with an ambiguous business objective.I would begin with discovery to define the target user, workflow, business outcome, constraints, and baseline metrics. I would translate those findings into a phased roadmap, create an initial agent and evaluation set, then launch a controlled pilot. I would use qualitative feedback and quantitative outcomes to prioritize prompt, context, workflow, and product changes before broader rollout.

How would you evaluate whether a prompt or context change improved an AI agent?

I would first define success criteria such as task completion, factual accuracy, policy adherence, containment, escalation quality, and customer satisfaction. I would test the change against a representative evaluation dataset and compare results with the existing version. Where traffic and risk allow, I would run an A/B test and monitor both aggregate metrics and qualitative failure modes.

How do you communicate technical tradeoffs to an executive customer audience?

I focus on the business decision, expected impact, risks, and recommended next step rather than implementation detail. I use simple metrics, concrete examples, and a clear comparison of options. I keep technical depth available for follow-up while ensuring leaders understand how the tradeoff affects outcomes, timing, and operational requirements.

Tell us how you would prioritize competing requests from multiple customer stakeholders during a deployment.

I would align requests to the agreed business objectives, user impact, urgency, implementation effort, and dependencies. I would make the tradeoffs visible in a prioritized roadmap and validate it with the accountable customer sponsor and internal team. For urgent requests, I would distinguish between a safe short-term workaround and a durable product or workflow solution.

What would you do if an AI agent performed well in testing but poorly after launch?

I would quickly assess the impact, identify whether a rollback or guardrail is needed, and communicate the incident and response plan to stakeholders. Then I would compare live conversations with the test set to identify gaps in data coverage, context, integrations, prompts, or user behavior. I would update the evaluation suite with the newly observed failure modes, implement a targeted fix, and validate it before expanding traffic again.

Opportunity details

## About this role.

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, [Ping Wu](https://www.linkedin.com/in/pingwu/), founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the Role:

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.

What You’ll Do:

* 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
* Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta’s agent builder and beta internal tools
* Improve our playbooks for agent development and customer deployment

Why join as an Associate FDPM at Cresta?

* Differentiated career development:

* Get hands-on AI product experience building Agentic solutions using a cutting-edge tech stack
* Access to an accelerated timeline of customer-facing opportunities as an AI thought partner to executives & leadership

* Rotational opportunities:

* Launching solutions for mid-market to Fortune 500 companies across different verticals, gaining breadth & depth in industry knowledge and domain expertise
* Develop multiple functional strengths as a super-generalist: work on projects that give experience across multiple teams, including go-to-market, engineering, product, customer success, and more

* Investment & mentorship:

* Mentorship from PMs who have been building GenAI solutions since GPT-2, as well as from Microsoft, TikTok, consulting firms, and start-ups
* Launching pad for your learning and career, we take that seriously as a company in scoping opportunities

What We’re Looking For:

You are a pragmatic, results-oriented problem solver who thrives in fast-paced environments and excels at turning ambiguity into execution.

What you’ll bring:

* 2+ years of relevant experience (e.g., Product Management, Consulting, Implementations, Customer / Sales Engineer, Revenue & Sales Analyst, Investment Banking, Founder)
* Hands-on work style – curiosity with a bias for action. You deliver with urgency and care
* Comfortable working with ambiguity and learning quickly in a dynamic startup environment
* Willingness to travel

Bonus Points:

* 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!)

Perks & 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
* Monthly wellness and communication stipend to keep you connected and balanced
* In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

OTE Range: $130,000–$170,000 + Offers Equity

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact [recruiting@cresta.ai](mailto:recruiting@cresta.ai) (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

Show more

[Apply now >](https://jobicy.com/jobs/155316-associate-forward-deployed-product-manager.md)

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