[All remote jobs](https://jobicy.com/jobs.md)[![Cresta logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/08/4d686e40b22cf2510b627c59afe5fd95.jpg)](https://jobicy.com/company/cresta.md)[Cresta](https://jobicy.com/company/cresta.md) # AI Engineer, GTM 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 150k–230k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished9 Oct 2026Apply before8 Nov 2026Listing views252Application actions11Application 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. Cresta is seeking an AI Engineer focused on transforming go-to-market operations through AI, automation, data, and custom integrations. The role will build systems for account prioritization, seller workflow automation, opportunity preparation, CRM enrichment, quoting, approvals, and deal-document execution. It requires hands-on coding, API and data-system expertise, plus strong knowledge of enterprise sales processes and modern GTM tools such as Salesforce, Gong, Clay, Slack, Glean, and Coda. This is a high-impact, highly cross-functional role working directly with executive and revenue-operations leadership, with success tied to sales effectiveness and revenue outcomes. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a technically demanding role because it combines AI engineering, systems integration, automation design, data quality, and practical GTM domain expertise. The engineer must independently deliver production-ready workflows that create measurable revenue impact while partnering directly with senior executives and sales teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$190,000US market range$150k–$230k0$253k AI insightThe disclosed US base salary range is $150,000 to $230,000 yearly, with a midpoint of $190,000. This is competitive for a senior, revenue-facing AI/software engineering role in the US, especially one requiring ownership of enterprise GTM integrations and automation; equity and potential impact-based commission are additional compensation components and are not included in the base-salary figures. ## Core skills Skills and capabilities most closely associated with this opportunity. [AI engineering](https://jobicy.com/jobs?search_keywords=AI%20engineering.md)[GTM automation](https://jobicy.com/jobs?search_keywords=GTM%20automation.md)[Salesforce integration](https://jobicy.com/jobs?search_keywords=Salesforce%20integration.md)[API development](https://jobicy.com/jobs?search_keywords=API%20development.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md)[Revenue operations](https://jobicy.com/jobs?search_keywords=Revenue%20operations.md)[Sales intelligence](https://jobicy.com/jobs?search_keywords=Sales%20intelligence.md)[Data systems](https://jobicy.com/jobs?search_keywords=Data%20systems.md)[Enterprise sales](https://jobicy.com/jobs?search_keywords=Enterprise%20sales.md)[Conversational AI](https://jobicy.com/jobs?search_keywords=Conversational%20AI.md) Sample interview questionsHow would you design an AI-driven account prioritization system for SDRs and account executives?I would begin by defining the target account profile and the business outcome, such as meeting conversion or pipeline creation. I would unify CRM, engagement, firmographic, intent, and product or conversation signals; establish data-quality checks; and create a transparent scoring framework combining rules and model-based signals. I would deliver recommendations directly in existing seller workflows, then continuously evaluate lift against a control group and recalibrate based on conversion outcomes. Describe how you would safely automate CRM research and opportunity preparation. I would map the current workflow, identify repetitive research and data-entry steps, and define structured outputs such as account summaries, stakeholder maps, and discovery briefs. Integrations would retrieve data from approved sources, while LLM outputs would use templates, citations, confidence thresholds, and human review for high-impact updates. I would log every action, support rollback, monitor error rates, and measure time saved and seller adoption. What approach would you take to integrate tools such as Salesforce, Gong, Slack, and an AI agent framework? I would establish a clear event-driven architecture with normalized account, contact, opportunity, and activity entities. Secure connectors would use least-privilege access, secrets management, rate-limit handling, retries, idempotency, and audit logging. The AI layer would use validated context from these systems, invoke narrowly scoped tools, and return outputs into Salesforce or Slack with links to source evidence. How would you measure whether a GTM automation is creating real business value? I would define success metrics before launch, including time-to-complete, data completeness, seller adoption, response speed, meeting conversion, pipeline progression, and revenue influence. Where possible, I would compare results with a baseline or controlled rollout rather than relying on anecdotal feedback. I would also monitor operational quality metrics, including automation failures, hallucination rate, override rate, and user satisfaction. Tell us how you would handle a request from executive leadership that is urgent but underspecified. I would clarify the decision or business outcome the request is intended to support, the users involved, available data, and the deadline. I would propose a narrow first version that can be deployed quickly, clearly identify assumptions and risks, and provide a timeline for iterative improvements. Throughout delivery, I would communicate progress in business terms and use early user feedback to ensure the solution solves the actual problem. 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. AI Engineer, GTM Cresta’s mission is to help companies turn conversations into their competitive advantage. We build AI that helps the world’s largest enterprises unlock revenue, efficiency, and insight from every customer interaction. We are hiring an AI Engineer (GTM) to rebuild how go to market works. This role is about eliminating manual work, helping our teams focus on the right accounts, and building systems that make winning easier. You will work directly with our CEO, CRO, CMO, and Rev Ops leadership to design and deploy an AI native operating system for our revenue engine. Location: Remote / Hybrid – Targeting SF or NYC, may consider additional locations across the US. What you will do Help GTM teams prioritize the right accounts * Use AI and data to help SDR, marketing, and sales focus on the highest value accounts * Surface hard to find intelligence, such as contact center scale, BPO footprint, and tech stack * Continuously enrich and reprioritize accounts as signals change Eliminate manual work * Replace manual research, opportunity prep, and CRM entry with automation and AI * Build systems that tell sellers what to focus on each day and what actions move deals forward * Auto-generate account plans, stakeholder maps, and discovery prep inside seller workflows Automate deal execution * Automate quoting, approvals, and document generation using AI agents * Streamline order forms, security reviews, and deal documents * Create real-time deal signals and next steps for every opportunity Own and optimize the GTM system * Write custom code and use AI coding tools to connect and extend our GTM stack * Integrate and maximize Salesforce, Gong, Clay, Centralize, Slack, Glean, Coda and more * Build systems that work natively inside our workflows * Rethink segmentation, territories, and coverage using data and AI * Take true ownership of sales effectiveness and revenue growth * Opportunity to earn commission based on measurable impact What we are looking for * Engineer who can bridge deep technical ability with real GTM understanding * Entrepreneur mindset with strong ownership and bias to build * Strong understanding of enterprise GTM and sales workflows * Comfortable writing code, using APIs, automation, data systems, and AI tools * Deep familiarity with modern sales tech stacks * High ownership, speed, and focus on real revenue outcomes 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. Salary Range: $150,000 – $230,000 + Offers Equity Range varies based on location and experience. 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. 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