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AI Growth Engineer

AI Summary
Cresta is hiring a senior AI Growth Engineer to build prospect-facing AI agents, interactive growth experiences, and technical marketing infrastructure. The role owns the engineering layer of cresta.com, including Webflow custom development, analytics instrumentation, integrations, and campaign surfaces. It requires strong full-stack skills, practical LLM and agent-framework knowledge, and the ability to take ambiguous ideas from prototype to production. The engineer will partner closely with marketing, product, design, marketing operations, and forward-deployed engineering teams. This is a high-ownership role focused on measurable go-to-market outcomes and rapid experimentation.
Remote from
USA
Salary
USD 160k–280k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
11 Dec 2026
Listing views
27
Application actions
0
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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, 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.

Role Overview

As Cresta’s Growth Engineer, you’ll build the technical surface of how Cresta goes to market. You’ll develop custom AI agents on Cresta’s own platform for marketing use cases, build the interactive experiences and tooling our growth team runs on, and own cresta.com. This position requires strong engineering fundamentals, high agency, and the ability to go deep in an unfamiliar domain quickly. If you are self-driven, AI-native, and eager to own something end to end, this role is for you.

Responsibilities

AI Agent Creation

  • Develop, configure, deploy, and optimize AI agents on Cresta’s platform for marketing use cases, working alongside our forward deployed engineering team.
  • Build the agent experiences prospects actually touch — event registration, demo and trial surfaces, and the moments where someone would rather just ask Cresta a question.
  • Take agents from prototype to production, including the evaluation criteria, guardrails, and human review steps prospect-facing work requires.
  • Integrate agents with the systems behind them — CRM, marketing automation, event tooling — so a conversation produces a real downstream action.
  • Provide a tight feedback loop to our product and engineering teams: identifying gaps, building custom tooling, and influencing the roadmap through what you learn deploying against a real audience.

Growth Experimentation and Tooling

  • Build the surfaces that don’t exist yet: launch microsites, event experiences, embeddable tools. When a campaign needs something the website can’t carry, you build it.
  • Build interactive assets that show what Cresta does instead of describing it: calculators, benchmarks, assessments, and demo experiences built on our own product.

The Website

  • Own how cresta.com is built and maintained on Webflow, including the custom code and tooling layered on top, partnering with the agency that handles a portion of day-to-day build work.
  • Ship the pages, campaign surfaces, and interactive experiences the marketing calendar depends on, working from creative direction set by brand and design.
  • Own the instrumentation where the site meets our GTM stack, in partnership with Marketing Ops: forms, gated content, event tracking, and attribution.
  • Ship the technical work behind our SEO and AEO programs, in partnership with the owners of those programs.

What We’re Looking For

  • 7+ years working in software development, web development, AI/ML engineering, or growth engineering.
  • Strong across the stack — application code, APIs, data, and infrastructure — in Python, TypeScript, Node, or similar.
  • Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
  • A track record of learning a domain fast and going deep. You’ve been dropped into something unfamiliar and become the person other people come to.
  • High agency. You define your own work, ship without being told what to build, and treat gaps as yours to close.
  • Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG).
  • Comfortable as the deepest technical voice on a non-engineering team, scoping ambiguous requests and explaining tradeoffs to marketers.
  • Ownership. You treat the outcome as yours, including when something breaks or was built badly before you arrived.

Nice To Have

  • Experience owning a marketing website. Useful context, not a hard requirement.
  • Technical SEO and AEO experience grounded in tests rather than theory.
  • Marketing and GTM systems integration: HubSpot, Salesforce, Marketo, Segment, GA4, GTM.

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.

Compensation for this position includes a Base Salary + Equity.

Base Salary Range: $160K – $280K + Equity

Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family.

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. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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 (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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position combines senior full-stack engineering, production AI-agent delivery, marketing systems integration, website ownership, and technical experimentation. Success depends on independently defining solutions and explaining technical tradeoffs to non-engineering stakeholders.

Salary analysis

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

Estimated job median (per year)Market rate
$220,000
US market range (per year)$170k–$290k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of $160,000 to $280,000 USD plus equity. The annual period is inferred from the professional US base-pay amount and role context because the posting does not explicitly state a cadence. Estimated US market compensation for a senior AI growth engineering role is approximately $170,000 to $290,000 USD per year in base salary.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you take a prospect-facing AI agent from concept to production?

I would begin by defining the user journey, intended business action, success metrics, data sources, and failure modes. I would build a narrow prototype, add function calling and retrieval where needed, establish evaluation cases and guardrails, then release incrementally with analytics and human-review paths for sensitive outcomes.

Describe how you would connect an AI agent to a CRM and marketing automation stack.

I would map the conversation states and consent requirements to specific CRM objects and events, then use secure APIs or middleware to create, enrich, and route records. I would make the integration idempotent, log all actions, handle retries, and instrument the funnel so marketing can measure conversion and attribution.

How would you evaluate whether an LLM-based marketing experience is ready for launch?

I would create a representative evaluation set covering expected questions, edge cases, unsafe requests, and conversion-critical flows. I would assess answer accuracy, groundedness, tool-call correctness, latency, escalation behavior, and completion of downstream actions before monitoring those metrics in production.

How would you approach building an interactive tool when the campaign brief is ambiguous?

I would clarify the target audience, desired action, campaign hypothesis, constraints, and measurement plan with stakeholders. Then I would propose a small testable version, identify reusable components and integrations, and iterate from observed user behavior rather than overbuilding the first release.

What technical considerations matter when owning a marketing website built on Webflow?

I would maintain a clear component and deployment model for custom code, protect performance and accessibility, and ensure forms and events reliably connect to the GTM stack. I would also prioritize SEO fundamentals, structured data where appropriate, consent-aware analytics, quality assurance, and rollback procedures for campaign launches.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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