Sales Engineer
We are seeking a curious, dynamic and passionate individual to join our team as a Lead Solution Architect & AI / Data Innovator. This role will be responsible for designing, implementing, and delivering RAG (Real-time Adaptive Generation) and AI agent solutions utilizing enterprise data that not only solve business challenges but also drive significant value for our clients. You will be trusted for explaining the value proposition and technical differentiators of our products to customers, understanding their requirements, showing insightful demos, running successful POC’s (proof of concepts) and deployments and helping to drive revenue for the company.
About Us:
We are changing the game on how Enterprise AI-powered applications are built and offered to fortune 5000 global enterprises. We are combining both cutting-edge advancements in machine learning and cloud systems to highly-researched, high-value products for the enterprise.
Job Summary:
As the Lead Solution Architect & AI Innovator, you will work closely with cross-functional teams to understand client needs and develop tailored AI-driven solutions. You will be responsible for building robust RAG and AI agent platforms using cutting-edge technologies.
Key Responsibilities:
Work collaboratively with business stakeholders to identify opportunities where advanced AI can add significant value.
Collaborate closely with product development teams to design scalable solutions that meet the needs of our clients.
Develop and maintain RAG models that enable real-time adaptive generation of content based on user queries, preferences, and historical data.
Design and implement AI agents for tasks such as customer service, sales support, and strategic planning.
Lead Proof of Concept efforts, ensuring timely delivery and adherence to quality standards.
Continuously improve existing solutions by incorporating new technologies and methodologies.
Contribute to the development of internal documentation and guidelines on RAG and AI agent best practices.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees are preferred.
7+ years of experience as a Solution Architect/Technical Consultant in the IT industry with a focus on Data and AI solutions.
Exceptional understanding of enterprise applications, data systems, SAAS, Networking and Authentication techniques.
Strong understanding of compliance, privacy and security of data
Proven track record of successfully leading enterprise complex projects from planning through implementation and beyond.
Demonstrated experience with Enterprise Data Catalog Products or Enterprise Data Observability platforms.
Strong understanding of RAG models and machine learning principles is essential.
Experience in designing, developing, and implementing AI agents for business applications.
Solid experience working with Linux, Python, JSON, YAML is a must.
Excellent communication skills; ability to articulate technical ideas clearly to non-technical stakeholders.
Ability to work well under pressure while meeting tight deadlines and managing multiple projects simultaneously.
What We Offer:
A dynamic and fast-paced environment where you can make a meaningful impact.
Opportunities for professional growth and development through innovative solutions.
Competitive salary package, comprehensive benefits, stock options, and more.
An inclusive culture that values diversity and encourages collaboration across teams.
Application Instructions:
Please submit your resume along with a cover letter detailing how you meet the requirements of this role. Please make sure to mention “Lead Solution Architect & AI Innovator” in the subject line of the email. We appreciate your interest and look forward to reviewing your application.
We are seeking an experienced Security Practice Sales Engineer with a strong technical background in Data Discovery and Classification, Data and Cloud Infrastructure Security to join our growing team. This individual will be pivotal in driving sales efforts by offering expertise on security solutions, particularly in the areas of Data Security Posture Management (DSPM) and Cloud Security. The ideal candidate will have hands-on experience with major Cloud Service Providers (CSPs) like AWS, Azure, GCP, and Oracle.
As a Security Practice Sales Engineer, this role involves working closely with the sales team to understand customer needs, demonstrate the value of security solutions, and ensure that enterprise clients' data is secure and compliant across various cloud environments and data systems. The position entails leading and engaging throughout the sales lifecycle, from discovering the customer’s requirements to writing proposals, demonstrating solutions, architecting tailored security architectures, building customer trust, and driving the proof of concept to achieve the technical win.
Sales Support & Technical Leadership: Partner with the sales team to drive the technical aspects of the sales cycle. Lead discussions around Data Discovery, DSPM, and cloud security, and present tailored security solutions to prospective clients.
Customer Focus: Use a deep understanding of industry best practices to help customers navigate complex situations and achieve optimal outcomes. Ensure that solutions are not only technically sound but also aligned with their broader business objectives, fostering long-term partnerships and delivering measurable value.
Cloud Security Expertise: Provide technical leadership in securing cloud environments, including AWS, Azure, GCP, and Oracle, focusing on data protection, regulatory compliance, and cloud infrastructure security.
Data Architecture: In-depth knowledge of enterprise data architecture, data privacy, and security technologies
SaaS Application Security: Advise customers on best practices for securing SaaS applications and ensure that their cloud applications meet security and compliance standards.
Data Access & Governance: Lead discussions around Data Access Controls, Compliance (GDPR, HIPAA, PCI-DSS), and Data Governance best practices to ensure clients’ data security and regulatory requirements are met.
Technical Presentations & Demos: Conduct product demos, POC’s, and presentations to clearly communicate the value of security solutions to both technical and non-technical stakeholders.
Collaboration & Relationship Building: Work cross-functionally with engineering, product management, and customer success teams to ensure successful implementation of security solutions and maintain strong client relationships.
Value Delivery: Collaborate closely with post-sales teams to ensure that customers fully realize the value of their investments by effectively implementing and optimizing solutions.
Technical Expertise in Data Discovery: Experience defining and implementing Data Discovery policies, including various techniques such as REGEX, Patterns, Dictionaries, Keywords and Exact Data Matching.
Operational Proficiency with Cloud Infrastructure: Hands-on experience with cloud infrastructure, specifically AWS, Azure, GCP, and Oracle including identity and access management (IAM), and cloud security best practices.
Experience with DSPM: Strong knowledge of Data Security Posture Management (DSPM) and its application in cloud environments.
SaaS Security: Experience in securing SaaS applications and providing guidance on how to apply security best practices in cloud-based applications.
Data Governance & Compliance: Understanding of Data Access Controls, Data Governance, and compliance frameworks such as GDPR, HIPAA, and PCI-DSS.
Data Systems: Operational experience with one or more of the following data systems: MongoDB, Cassandra, DynamoDB, HDFS, Hive, HBase, AWS S3, DynamoDB, Redshift, Azure file and blob storage, etc.
Linux & Kubernetes: Proficiency in Linux and Networking, with experience in containerized environments using Kubernetes is a plus..
Sales Engineering Experience: Proven experience in a Sales Engineer or Pre-Sales Engineer role, with a strong ability to engage with both technical and non-technical stakeholders.
Effective Communication Skills: Strong verbal and written communication skills, with the ability to articulate complex technical solutions clearly to a diverse audience. Outstanding presentation, communication, and interpersonal skills.
General knowledge of privacy regulatory requirements: Understanding of gathering consent, complying with Data subject rights, data mapping, and or data breach.
Successful Sales Engineering track record with minimum of 5+ years pre-sales engineering or consulting role focusing on medium and large enterprise accounts.
Bachelor's degree in a technical field or a related discipline.
Relevant industry certifications with focus on cloud or security such as AWS Fundamentals, Azure, GCP, CISSP, CISM or similar.
Experience with security tools and platforms focused on data protection, cloud security, and compliance. Expertise in CASB (Cloud Access Security Brokers), SASE (Secure Access Service Edge), and DLP (Data Loss Prevention) technologies and their business applications.
Strong technical acumen with ability to comprehend & communicate intricate technical concepts
Experience in designing, developing, and refining RAG (Retrieval-Augmented Generation) models
Knowledge of vector databases and indexing methods to store and retrieve information for conversational contexts..
(1) We are an Equal Opportunity/Affirmative Action employer. All qualified applicants, upon confirmation, will receive fair consideration for employment without regard to race, color, religion, sex (including sexual orientation and gender identity), national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, local or country law.(2) By submitting your profile for evaluation for this job offering, you are agreeing to the collection and processing of your personal data. Personal data submitted by job applicants will be strictly used for recruitment-related purposes, including evaluating applications, shortlisting and selecting candidates who meet our merit criteria and standards and for communicating with you. Your personal data may also be shared with third parties and partners for this purpose. Your personal data will be retained by us and may be used to contact/communicate with you in the future or to meet legal and regulatory requirements. Provided data will be protected through technical and organizational security measures to prevent unauthorized access, accidental or deliberate manipulation, destruction or disclosure. For more details on our data practices and your rights, please see our Privacy Policy.
Salary range 225k-300k OTE
Equity Details - eligible for stock options
Benefits - healthcare, PTO
Location info (remote)