Demo Enablement Architect

As a Senior Solutions Architect inside the Solutions Center of Excellence, you will serve as a strategic, technical partner in our most complex enterprise sales cycles. You are a recognized subject matter expert who empowers global teams and customers to achieve their mission by showcasing "the art of the possible" through deep technical expertise in Asana’s API, AI, and platform ecosystem. You will manage large, complex technical projects with our strategic customers, influencing both internal product roadmaps and external customer technology frameworks. This role is a transformation from one-off technical fixes to building the architectural foundation that orchestrates work at scale. This role is based in our San Francisco or Dublin office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Strategic Team-Selling: Partner with Account Executives and Solutions Engineers to design innovative, integrated solutions that transform customer workflows and drive strategic business growth for Tier 1 accounts. Technical Validation & MVPs: Own the design and execution of technical proof-of-concepts (POCs) and minimum viable products (MVPs) that prove Asana’s value as a platform. Platform Evangelism & Enablement: Level up the broader Solutions organization by creating technical guides, reusable demo assets, and training programs on non-code and low-code technical engagements. Product Partnership: Serve as the "eyes in the field" for R&D, capturing insights from global enterprise engagements to influence the future roadmap of Asana’s API and AI capabilities. Architectural Leadership: Develop "before/after" architectural frameworks and

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Celonis Demo Engineering is the creative and technical engine of our Go-To-Market strategy. We are embarking on a high-stakes mission to build the Next-Gen Demo Factory - a world where AI agents and LLMs handle the heavy lifting of demo creation. This transformation is critical not only to maintain our lead in Process Intelligence but to ensure Celonis wins the Enterprise AI market. By feeding operational business context to AI, we enable the world’s largest companies to industrialize AI and unlock real ROI. You will co-lead this transformation within the team, architecting agentic systems and building tools that turn customer business problems into compelling demos for 1,000+ GTM colleagues inside and outside Celonis. The work you’ll do: Architect Agentic Demo Builds: Lead the shift toward "Prompt-to-Demo" workflows, from Atlas mockups to in-product demos with Apollo. You will build and continuously improve AI agents to automate the generation of data stories, UI screens, and configurations from simple business requirements. Elevate Field Delivery & Enablement: Create "Self-Service" agentic tools that allow Sales Reps and Solution Engineers to "chat" with a demo environment. These agents will generate custom talk-trac

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Celonis Demo Engineering is the creative and technical engine of our Go-To-Market strategy. We are embarking on a high-stakes mission to build the Next-Gen Demo Factory - a world where AI agents and LLMs handle the heavy lifting of demo creation. This transformation is critical not only to maintain our lead in Process Intelligence but to ensure Celonis wins the Enterprise AI market. By feeding operational business context to AI, we enable the world’s largest companies to industrialize AI and unlock real ROI. You will co-lead this transformation within the team, architecting agentic systems and building tools that turn customer business problems into compelling demos for 1,000+ GTM colleagues inside and outside Celonis. The work you’ll do: Architect Agentic Demo Builds: Lead the shift toward "Prompt-to-Demo" workflows, from Atlas mockups to in-product demos with Apollo. You will build and continuously improve AI agents to automate the generation of data stories, UI screens, and configurations from simple business requirements. Elevate Field Delivery & Enablement: Create "Self-Service" agentic tools that allow Sales Reps and Solution Engineers to "chat" with a demo environment. These agents will generate custom talk-trac

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custom