Universal AI employees for enterprise workflows
Ema builds AI agents that automate complex enterprise workflows across HR, finance, sales, and customer support. It serves large organizations by integrating with 200+ enterprise systems, using proprietary engines for reasoning and execution. This enables teams to scale productivity without replacing humans, focusing them on strategic work.
Leads strategic GTM partnerships with SIs, VARs, consultancies, and cloud platforms to drive partner-led growth and revenue for enterprise AI solutions. Requires 5+ years in partner management at SaaS/AI companies with proven track record in enabling sales outcomes.
Designs and builds scalable infrastructure for AI products, focusing on cloud platforms, Kubernetes orchestration, CI/CD pipelines, and observability. Requires 3+ years in infrastructure engineering and bachelor's/master's in CS.
Serves as the CEO's strategic right hand, driving executive operations, sales/GTM acceleration, corporate strategy, investor relations, and special projects in a high-growth AI company. Requires 10+ years experience including top-tier consulting and tech strategy roles, MBA, and full co-location in Mountain View, CA.
Executes field marketing events like tradeshows and executive dinners across the US, managing logistics, budgets, and cross-functional alignment to generate qualified pipeline for B2B SaaS sales. Requires 3-7+ years in field marketing, exceptional project management, and startup experience.
Owns portfolio of strategic enterprise accounts end-to-end, orchestrating AI delivery teams, ensuring post-go-live outcomes like adoption and ROI, managing C-level relationships, and driving expansion through proven value. Requires 15+ years in enterprise tech delivery with 5+ years account ownership.
Develops exceptional user interfaces for web applications using modern frontend technologies like React and Next.js, handles API integrations, and collaborates on UX design. Requires 5+ years UI engineering experience and bachelor's degree or equivalent.
Build scalable backend systems and APIs using Go and Python for enterprise AI applications. Requires 4+ years experience, strong algorithms knowledge, databases like PostgreSQL, and cloud/container tech.
Defines product strategy, roadmaps, and requirements for AI enterprise products. Collaborates with engineering, design, and cross-functional teams to deliver, launch, and iterate based on market research and performance data. Requires 3-5 years PM experience in tech.
Leads AI strategy for high-value enterprise accounts, advises C-level executives on AI transformation roadmaps, and collaborates cross-functionally to drive deals. Requires 7-12+ years consulting experience at top firms like McKinsey/BCG and enterprise sales familiarity.
Build full-stack web applications with a front-end focus using React and gRPC, develop UIs, APIs, and integrations. Requires 4+ years experience, strong React proficiency, and backend skills in Node.js/Python.
Leads backend engineering for enterprise AI software, building scalable systems with Go/Python, APIs (REST/GraphQL), databases (PostgreSQL/Redshift), and cloud/container tech. Requires 4+ years experience, CS bachelor's, and full-stack contributions in a hybrid role.
Develops and deploys ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, 2+ years experience with production ML, deep NLP expertise, Python, and frameworks like PyTorch/TensorFlow.
Technical pre-sales expert collaborating with sales to architect and demonstrate AI platform solutions, execute PoCs, and drive customer deployments from demo to production. Requires 8+ years in solutions engineering and strong cloud/SaaS expertise.
Drives enterprise sales for AI platform by prospecting leads, building executive relationships, managing sales pipeline, and closing $500k+ deals. Requires 2+ years outbound sales experience, CRM proficiency, and technical acumen in fast-paced startup.