Director, Enterprise Solutions Engineering

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SaaS, Contact CenterIndustries

Requirements

Candidates should possess over 8 years of experience in sales engineering or technical sales, with at least 2 years in a leadership role. A deep expertise in Contact Center technologies, including Conversational AI, CCaaS platforms, and telephony infrastructure, is required. Strong working knowledge of enterprise platforms such as Salesforce, Google, and Amazon, as well as contact center infrastructure and enterprise SaaS environments, is also necessary. Experience with AI Agent applications and integrating AI into customer workflows is essential.

Responsibilities

The Director, Enterprise Solutions Engineering will lead a team of pre-sales Solutions Engineers supporting complex sales cycles within the Enterprise segment, partnering with sales leadership to align SE coverage with pipeline priorities. Responsibilities include coaching the team through technical discovery and solution design, ensuring executional excellence in demos and POCs, and directly supporting key strategic deals with hands-on technical leadership. The role involves collaborating cross-functionally with Product and Engineering to elevate the SE team's impact, conducting weekly 1:1s and team meetings for coaching, creating development plans, leading ride-alongs, and collaborating on training. Additionally, the Director will align with Enterprise Sales Leaders, run weekly SE pipeline reviews, manage team capacity and utilization, coordinate cross-regional support, and drive recruiting and onboarding. The position also requires providing hands-on support for strategic enterprise accounts, influencing product roadmaps, leading Enterprise-specific POC initiatives, validating complex implementations, developing high-impact demos and presentations, and establishing technical best practices and discovery frameworks.

Skills

Solutions Engineering

Pre-sales

Sales Cycles

Technical Discovery

Solution Design

Demos

POCs

Technical Validation

Business Case

Cresta

AI-powered coaching for sales teams

About Cresta

Cresta focuses on enhancing business outcomes through AI-powered coaching and assistance, particularly for sales teams. Its main product, Cresta for Sales, analyzes all sales conversations to identify performance gaps and provide real-time coaching, helping businesses improve their sales efficiency. This service is available on a subscription basis and is suitable for companies of all sizes across various industries. Cresta also offers a chatbot service that automates repetitive conversations, allowing sales agents to concentrate on more complex tasks. The patented Real-Time Intelligence Engine continuously learns from interactions to highlight effective behaviors, giving businesses a competitive edge. Clients have reported notable improvements, including faster response times and increased sales conversions.

Palo Alto, CaliforniaHeadquarters

2017Year Founded

$268.5MTotal Funding

SERIES_DCompany Stage

Consumer Software, Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Risks

Competition from AI giants like Google and Microsoft threatens Cresta's market share.

Rapid AI advancements may render Cresta's offerings outdated without continuous innovation.

Expansion into Romania and India may face operational challenges and increased costs.

Differentiation

Cresta's Real-Time Intelligence Engine offers unique AI-driven insights for sales improvement.

The company provides AI-powered coaching, enhancing sales team performance with real-time feedback.

Cresta's chatbot service reduces repetitive tasks, allowing agents to focus on complex issues.

Upsides

Cresta's $125M Series D funding boosts product development and market expansion.

Recognition in Forbes AI 50 list enhances Cresta's credibility and market presence.

Human-in-the-loop AI capabilities improve customer service interactions and satisfaction.

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