Solutions Engineer- SLED

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions


• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs


• Answer product feature and technical questions from customers, partners and Okta colleagues


• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed


• Provide feedback to product management about product enhancements that can address customer needs and provide additional value


• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team


• Stay current on competitive analysis and market differentiation


• Support marketing events including executive briefings, conferences, user groups, and trade shows


• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.


• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.


• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.


• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.


• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)


• Experience working with REST APIs, API Gateways, and SDKs


• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications


• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)


• Exceptional communicator.


• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field


• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence


• Typically 25% travel.


• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.


• Experience integrating with microservices, data lakes, or customer data platforms.


• Developed ReBAC or Fine Grain Authorization models


• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Francisco

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