Enterprise Application Ai Engineer Jobs

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Enterprise Account Executive Opportunity The successful Enterprise Account Executive is a highly motivated, self-driven, and experienced sales candidate who is passionate about security and helping customers protect themselves against the biggest identity threats. As an Enterprise Account Executive, you will be focused on providing value to C-Suite decision makers on their ability to drive the most secure environment possible for their workforce. You will consistently drive territory growth through driving both net new logos and cultivating and growing existing Okta/Auth0 customers. You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Okta/Auth0 customers. What You’ll Be Doing: Establish a vision and plan to guide your long-term approach to net new logo pipeline generation Consistently deliver revenue targets to support YoY territory growth Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers Scope, negotiate and close agreements to consistently meet and exceed revenue quota targets Holistically embrace, access, and utilize Okta partners to identify and open opportunities Build and nurture effective

SLSQ427R846 As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager. The impact you will have: Assess your accounts and develop a strategy to identify and engage all buying centers Use a solution approach to selling and creating value for customers Identify the most viable use cases in each account to maximize Databricks impact Orchestrate and work with teams to maximize the impact on your ecosystem Build value with all engagements to promote successful negotiations to close point Promote Databricks enterprise cloud data platform powered by Apache Spark Be Customer focused by delivering technical and business results using the Databricks Platform Promote Teamwork...it makes the Dreamwork! What we look for: You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. Sales experience within big data, Cloud, or SaaS sales Prior customer relationships with CIOs and important decision-makers Simply articulate intricate cloud technologies and big data Experience exceeding sales quotas Success closing new business to net new accounts 5+ years of sales experience in SaaS/PaaS companies Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actu

About the Team The DoorDash Mid-Market Grocery team manages the strategic vision, acquisition, and growth of the largest regional grocery partnerships across North America. About the Role The Grocery Partnerships Associate will support DoorDash’s efforts to acquire, grow, and deepen partnerships with grocers and CPG brands across the industry. As digital grocery continues to expand, DoorDash is investing to become a leading partner to the sector. Reporting to a Grocery Partnerships Manager, you will help drive strategic partner initiatives and support the growth of key merchant relationships. This role requires flexibility across remote work, in-office collaboration, and travel to meet with merchant partners. You’re excited about this opportunity because you will… Steer the development, adoption and scaling of new business opportunities Develop long-term business plans alongside our partners for their multi-channel customer strategies Maintain pitch decks and sales content to help create new business opportunities Build product testing and roll-outs on the ground with grocery and cross-functional team members Work with partners across DoorDash to align companywide resources to help build-out our partners' digital businesses We’re excited about you because… You’re Impact Motivated -- You have a natural desire to improve the overall business You’re Curious -- You love digging into low levels of detail to extract insights You’re Strategic -- You love to find the win-win in developing novel agreement structures to grow business with partners You’re Resourceful -- You are happy juggling many priorities concurrently and being creative with solutions to move fast You’re Collaborative - You enjoy working with lots of different people, both external and internal Qualifications: 3-5 years of account management, consulting, banking, or strategic partnerships in technology or high growth / early stage startups 3+ years of cross-functional operational experience Bach

SLSQ128R17 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Strategic Enterprise Account Executive to join the team in Israel to maximise the phenomenal market opportunity that exists for Databricks. As a Strategic Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Senior Director, Enterprise Sales, Israel. The impact you will have: You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: Extensive experience selling complex solutions to Enterprise Customers You will have experience managing and leading complex, federated sales campaigns in major accounts You will have experience working in Data, Cloud industries with some technical sales experience Proof of exceeding sales quotas in high-growth Enterprise software companies You will have experienc

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Account Executive, SMB Grower team is a highly consultative sales team that is responsible for the growth and retention of Stripe’s largest and fastest growing SMB customers. As an Account Executive, SMB Grower team member, you’ll identify new opportunities for our clients to get the most out of Stripe by quickly understanding our clients’ needs, execute scaled sales strategies to close upsell and renewals with existing Stripe customers, and drive end-to-end campaigns to increase adoption of Stripe’s offerings. What you’ll do Responsibilities Own contract renewals and lead negotiations to increase and retain existing customer revenue and Stripe market share Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Stripe customers Solve complex client needs and work across product, sales, risk, and operations teams to improve our product Own the full sales cycle from lead to close for startups and small/medium businesses Generate your own leads through cold calling, blitzing, research, networking, and driving your territory. Make every potential Stripe user happy with every interaction, regardless of deal size Identify and understand users’ pain points to propose Stripe solutions Make sure that internal teams are set up for users’ success by coordinating with other Stripe teams Who you are We’re looking for a well-rounded strategic seller who can bu

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of our pre- and post-sales motion. The team brings together responsibilities previously split across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical ownership model. Customer Engineering is a growth function focused on customer health, retention, expansion, and technical partnership. As Manager, Customer Engineering, you will lead a team of Customer Engineers and be accountable for their aggregate output while staying close to the work. You will translate team goals into individual assignments, coach direct reports on technical and commercial skills, and run the day-to-day operating rhythm for your pod. This is a people leadership role where your team’s output is your output. This is a role based in-office in Sydney or Remote in Melbourne. What this looks like day-to-day Team output and account health: Own the aggregate health, retention, and expansion outcomes for the accounts your team manages. Ensure Customer Engineering coverage is adequate, account risks are surfaced early, and no account falls through the cracks. People development: Coach and develop P2 through P4 Customer Engineers through regular 1:1s, actionable feedback, performance management, and individual development plans. Identify skill gaps and partner with enablement to address them. Operational rhythm: Run the team’s operating cadence, including weekly account reviews, pipeline syncs with Account Directors, escalation triage, and capacity planning. Maintain documentation standards and Salesforce hygiene across the team. Hiring and onboarding: Partner with recruiting to hire strong Customer Engineers and own the onboarding experience for new team members. Ensure new hires become productive within expected ramp timelines. Account Director partnership: Serve as the management counterpart to Account Director leadership for your pod. Resolve cross-functional fricti

About the Team The New Verticals Business Development team is a small, fast-paced, high-performing group responsible for establishing, managing and scaling new lines of business at DoorDash in the retail and logistics space. About the Role As an Associate of Emerging Retail Partnerships , you will support the day-to-day management of our merchant partners and help them grow with DoorDash. This role offers the opportunity to get in at the ground floor of one of DoorDash's fastest-growing new bets, focused on parcel logistics, and to operate at a startup pace with the backing of an established public company. You will report to the Associate Manager of Emerging Retail Partnerships within our Merchant Business Development organization and work closely with account leads and teams across the company. You're excited about this opportunity because you will… Own relationships with leading enterprise retailers and ecommerce logistics providers. Be the day-to-day point of contact for a portfolio of strategic partners, build a deep understanding of their business goals and challenges, and develop creative solutions that drive step-change growth for DoorDash. Lead the conversation. Run merchant calls and business reviews, own the follow-up, and build the presentations and materials that tell the story of the account. Turn insights into growth. Resolve issues using established processes and internal resources, raise concerns early with the facts and a suggested next step, and use playbooks and merchant data to flag negative trends and spot growth opportunities. Flex your negotiating skills. Support upsells, cross-sells, expansions, launches and renewals that create mutually beneficial outcomes for partners and DoorDash. Use your product knowledge and market feedback to help shape the roadmap and go-to-market strategy for one of DoorDash's most exciting new bets, and to inform growth and revenue goals. Learn fast and be seen. Work with senior stakeholders across Sales, Operation

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. What You’ll Do: Own the technical strategy across your accounts as a peer to the Account Executive - a standing weekly 1:1 with each AE you support, and a standing weekly account team call with the full ecosystem where you carry POV status, technical blockers, and the explanation behind any usage movement. Own the technical explanation behind consumption movement in your accounts. Work with the CSM and TAM to separate legitimate growth from misconfiguration, make sure legitimate growth gets quantified before renewal, and flag forward-looking usage the customer has signalled rather than explaining it backwards a month later. Lead discovery in every meeting, not only in discovery meetings - including meetings where you were invited to present. Leave each meeting knowing something about their business you did not know going in. Deliver engaging product demos, technical presentations, solution workshops, etc. that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle and beyond Contribute to product direction through active participation in structured

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst