Enterprise Customer Success Manager

Posted 4 Days Ago
Be an Early Applicant
Palo Alto, CA
130K-150K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
The Enterprise Customer Success Manager at Aisera will serve as the primary contact for customers during their entire journey, focusing on onboarding, implementation, support, and renewal. Responsibilities include developing relationships, delivering business reviews, managing customer satisfaction, and communicating effectively with stakeholders while identifying growth opportunities and risks.
Summary Generated by Built In

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.

Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.

Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role: 

At Aisera, we’re building a world-class Customer Success team, where each individual loves to move fast, be challenged, and is obsessed with making our customers wildly successful. You will partner closely with internal teams to help bridge business and technology, helping customers realize the art of the possible. Your job is to serve as the voice of the customer and do whatever it takes to assure they achieve their desired business outcomes with high satisfaction.

You will be expected to be resourceful, a selfless team player, and regularly go above and beyond your “day job”. The upside is that this is a highly visible role with unbound growth opportunities.

This role is preferred based out of our Palo Alto, CA office. but we are open to the right remote candidate profile.

Responsibilities:

  • Serve as the primary point of contact for customers throughout their entire journey: from onboarding, through implementation, support, expansion, and renewal.
  • Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure customers are leveraging our solution to realize the highest value with increased adoption, engagement, coverage, and other KPIs
  • Deliver Monthly / Quarterly Business Reviews and effectively manage meeting cadence
  • Stay current with the most recent changes to our product and educate customers on our offerings and updates.
  • Lead growth opportunities by expanding into new use cases and teams.
  • Identify and communicate customer’s pain points and enhancement requests to the product team.
  • Proactively Identify risks and collaborate closely with team members to address all issues to assure fast resolution and high customer satisfaction.
  • Develop and share best practices with team members to continually improve the quality, effectiveness, and efficiency of our processes.
  • Report internally and externally on customers project progress, usage, and health KPIs
  • Deliver RCA communications after service outages.
  • Coordinate any internal or external UAT’s as required.

Basic Qualifications:

  • 7-10 years of experience in Enterprise SaaS in one or more areas of Customer Success, Support, Solution Consulting.
  • Thrive in a startup environment - we move quickly and wear many hats in a dynamic environment.
  • Must have strong analytical skills with strong business acumen.
  • Experience with IT, IT Automation, and Technical Support systems is a big plus.
  • Deep knowledge of Customer Success KPIs, flows, activities, and routines, managing large and complex accounts.
  • Outstanding Presentation and Communication Skills: Must be able to present to various persona and levels within our customer organizations.
  • A passion for customers and problem-solving, desire to go deep and become familiar with the customer’s technical and business environment
  • Good familiarity with AI/ML and related technologies.
  • Experience with Java, JavaScript, Python, or other scripting / programming languages is a plus.
  • Bachelor’s or higher degree in computer science, engineering, or related technical field.

Preferred Qualifications:

  • Startup experience
  • Enterprise SaaS experience
  • Domain expertise in IT, HR or Customer Support

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

#LI-PS1

At Aisera, we strive to design equitable and explainable compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

Bay Area, CA

$130,000$150,000 USD

Top Skills

Java
JavaScript
Python
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The Company
HQ: Palo Alto, CA
265 Employees
On-site Workplace
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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