[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) # Enterprise Solutions Engineer 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 200k–275k / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceSeniorPublished27 Oct 2026Apply before26 Nov 2026Listing views38Application actions3Application 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 hiring an Enterprise Solutions Engineer to support enterprise sales cycles for its conversational AI and contact-center platform. The role partners with Account Executives to run discovery, deliver product demonstrations, lead proof-of-value engagements, and build ROI-driven business cases. Candidates need strong technical pre-sales experience with conversational AI, CCaaS, contact-center infrastructure, and enterprise SaaS. This remote US position requires polished customer communication, technical solution design, and close collaboration across sales, product, and technical teams. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior customer-facing pre-sales role requiring both deep contact-center/AI expertise and the ability to influence complex enterprise buying committees. Success depends on independently managing technical validation while translating product capabilities into measurable business value. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$237,500US market range (per year)$180k–$280k0$308k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses an OTE range of $200,000–$275,000 USD. The posting does not state a pay cadence, so yearly compensation is inferred from the US enterprise pre-sales context and the stated compensation level. Estimated US market OTE for comparable enterprise AI solutions engineering roles is approximately $180,000–$280,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Enterprise sales engineering](https://jobicy.com/jobs?search_keywords=Enterprise%20sales%20engineering.md)[Technical pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20pre-sales.md)[Conversational AI](https://jobicy.com/jobs?search_keywords=Conversational%20AI.md)[CCaaS platforms](https://jobicy.com/jobs?search_keywords=CCaaS%20platforms.md)[Contact center infrastructure](https://jobicy.com/jobs?search_keywords=Contact%20center%20infrastructure.md)[Solution discovery](https://jobicy.com/jobs?search_keywords=Solution%20discovery.md)[Product demonstrations](https://jobicy.com/jobs?search_keywords=Product%20demonstrations.md)[Proof of concept](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept.md)[Proof of value](https://jobicy.com/jobs?search_keywords=Proof%20of%20value.md)[ROI business cases](https://jobicy.com/jobs?search_keywords=ROI%20business%20cases.md)[Enterprise SaaS](https://jobicy.com/jobs?search_keywords=Enterprise%20SaaS.md)[Salesforce](https://jobicy.com/jobs?search_keywords=Salesforce.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md)[Customer training](https://jobicy.com/jobs?search_keywords=Customer%20training.md) Sample interview questionsHow do you approach discovery for an enterprise prospect evaluating a conversational AI platform?I begin by mapping the customer’s current contact-center workflows, business objectives, operational pain points, technical environment, and success metrics. I then validate stakeholders, decision criteria, integration constraints, and the financial impact of the problem before tailoring a solution narrative. Describe how you would structure a proof-of-value engagement. I would define a focused use case, baseline metrics, stakeholders, technical prerequisites, timeline, and measurable acceptance criteria at the outset. During the engagement, I would train users, monitor adoption, document outcomes, and conclude with an executive readout connecting results to a clear ROI case. How do you make a technical demo effective for both business and technical stakeholders? I align the demo to the prospect’s stated priorities rather than presenting generic features. I explain the business outcome first, demonstrate the relevant workflow and technical architecture, address integration and security questions, and end with agreed next steps tied to the evaluation process. How would you respond when a prospect asks for functionality that is not currently available? I would acknowledge the requirement directly, clarify the underlying business outcome, and avoid making unsupported commitments. I would explore viable workflows or alternatives with product and engineering teams, communicate the product roadmap appropriately, and ensure expectations are documented clearly. What metrics would you use to build an ROI case for a contact-center AI solution? I would use metrics such as average handle time, conversion rate, customer satisfaction, first-contact resolution, agent ramp time, quality assurance coverage, retention, and cost per interaction. The model should compare baseline performance with expected improvements and clearly state assumptions, implementation costs, and the projected payback period. 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 Enterprise Solutions Engineer you will partner with Enterprise Account Executives to showcase the power of Cresta to potential customers. In this role you will provide technical insights and solutioning to stakeholders both internal and external by understanding customers technical requirements. You will conduct product demos, manage technical validation activities (including proof-of-concept exercises and pilots), and ultimately help develop the business case for the prospect during the sales cycle. You also will act as liaison between sales, the customer and Cresta’s technical teams. Responsibilities: * Qualify new sales opportunities by understanding customer requirements and converting it to Cresta technical requirements * Partner with Enterprise Account Executives to discover and understand the prospect’s situation and the challenges that they are experiencing * Lead discovery calls with prospective customers & internal cross functional teams to build and deliver product demos. Solving problems for potential customers and demonstrating the value of Cresta product * Provide your prospects with insights and learnings from your vast experience in helping customers improve their contact center and customer experience operations * Drive adoption during proof of values by training individual managers and users on the Cresta solution * Translate prospect use cases into brilliant technical solutions and demonstrate the path to ROI * Deliver captivating product demos highlighting value propositions to get prospects excited about how Cresta will help them reach their goals * Run ROI workshops to translate our solution into a financial business case proposal * Provide feedback to product management about the successes and failures in the field Qualifications We Value: * 4+ years of experience in customer-facing roles, with 3–5 years in a technical pre-sales capacity supporting large enterprise sales cycles * Deep hands-on expertise with Conversational AI and CCaaS platforms, helping customers modernize contact center operations * Known for a strong work ethic, enthusiasm, and thoughtful engagement with clients and internal teams alike * Desire to practice and prepare your presentation (or demo) meticulously, as you always strive for perfection * Natural problem-solver; resourceful in leveraging internal teams and cross-functional collaboration to move deals forward * Fast learner with a passion for new technology and a talent for simplifying complexity for customers * Experienced with Salesforce.com, contact center infrastructure, and enterprise SaaS environments * You embody our core Operating Principles Bonus points: * 2+ years of AI sales engineering experience * Experience in a high-growth startup environment 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. This role is variable target compensation eligible. There is potential to exceed target earnings when goals are surpassed. OTE Range: $200,000-$275,000 – variable & 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. 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