Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Leads competitive intelligence for Elastic Search by analyzing competitors, products, pricing, packaging, marketing, and market trends. Creates battlecards, training, comparisons, blogs, and web content that communicate product differentiation. Tracks competitive developments, supports win/loss analysis, and partners with product marketing, product management, sales, engineering, and leadership to shape positioning and go-to-market strategies. Participates in industry events and translates technical insights into compelling business value.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, data structures, and bug fixes in modern Java. Improve search speed and relevance, contribute to Lucene, collaborate with a globally distributed engineering community, guide projects autonomously, review code, and work with technologies including Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra.

Lead Elasticsearch search relevance initiatives, designing and implementing search features, algorithms, data structures, and vector search capabilities. Improve performance, scalability, and relevance; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and provide technical direction. The role requires modern Java development, autonomous project ownership, code review, asynchronous communication, and expertise with search or vector databases at scale.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Develop and scale account-based marketing programs across priority Americas accounts. Partner with sales, customer success, and marketing teams to create personalized multichannel campaigns targeting technical and executive buyers. Manage campaign strategy, messaging, paid media, events, budgets, and timelines while measuring account engagement, pipeline influence, velocity, and ROI. Use performance insights to optimize programs and evolve ABM playbooks for enterprise technology audiences.

Own and scale account-based marketing programs for priority public sector accounts across AMER. Develop personalized, multichannel campaigns targeting government decision-makers, manage budgets and timelines, coordinate events and agencies, build landing pages and messaging, and measure account engagement, pipeline influence, velocity, and ROI. Partner with sales, customer success, product marketing, content, and regional teams while navigating government procurement, compliance, and buying cycles.

Build and grow enterprise accounts with more than 4,000 employees by generating demand, evangelizing Elastic’s open-source and commercial offerings, identifying use cases, managing complex sales cycles, closing transactions, and expanding customer adoption. The role requires accurate Salesforce forecasting, strong relationships with developers and executives, ecosystem-based business planning, and successful SaaS sales into complex enterprise accounts.

Design, build, test, deploy, and support full-stack Salesforce and integration solutions. Develop frontend components, backend services, APIs, data models, REST and event-driven integrations, and AI-powered automations. Use Salesforce technologies including LWC, Apex, SOQL/SOSL, and Flows. Apply AI-assisted development throughout the SDLC while maintaining code quality, security, and performance. Contribute to CI/CD, automated testing, code reviews, Agile ceremonies, architecture, debugging, and cross-functional technical collaboration.