Top Tech Jobs & Startup Jobs

Own Axiamatic’s product design vision and make complex enterprise transformation data, workflows, risks, and AI insights simple and actionable. Lead hands-on 0-to-1 product design, shape AI-native experiences, establish design systems and quality standards, and build the design team. Partner closely with founders, Product, Engineering, and customers to define the product experience, guide implementation, and support company growth.

Build and shape an agent-orchestration platform using frontier LLMs. Transform heterogeneous enterprise program data into structured, queryable knowledge, develop reliable and observable backend services, and own features from design through production. Collaborate with product management and customers, make prioritization decisions, review code, write tests, and support production systems. The role requires strong Python backend skills, LLM production experience, cloud expertise, and comfort solving ambiguous startup problems.

Owns end-to-end implementation and onboarding for Axiamatic’s agentic platform, translating customer goals into configured solutions and driving rapid first value. Manages roadmaps, scope, timelines, customer commitments, and Forward Deployed Engineers. Leads adoption, quarterly business reviews, value realization, expansion identification, and churn-risk mitigation while engaging executive stakeholders. Requires Big Four transformation consulting experience, multiple ERP implementations, strong project management, customer value delivery, and the ability to explain agentic AI capabilities to nontechnical audiences.

Lead the technical side of SAP sales cycles by conducting discovery, delivering tailored demos, designing solution architectures, addressing technical objections, and managing proofs of concept through technical decisions. Partner with SAP architects, IT leaders, executives, product teams, and forward-deployed engineers across S/4HANA, ECC, BTP, RISE, and Clean Core environments.

Generate outbound and inbound pipeline through email, phone, and LinkedIn prospecting; build account targeting, messaging, and sequencing from scratch; qualify leads and hand them to account executives; support discovery calls with research and account mapping; evaluate prospecting tools; document repeatable sales plays; and provide market feedback on AI infrastructure buyers, objections, and competition.

Own customer-facing product management for enterprise ERP and IT transformation programs. Engage stakeholders to identify risks, dependencies, and inefficiencies; build analytical artifacts and AI-driven analysis specifications; translate customer insights into scalable product capabilities; support pre-sales, pilots, and proof-of-concept engagements; and inform the product roadmap through customer feedback.

Own forecasting, pipeline analytics, revenue dashboards, GTM technology, data infrastructure, and reporting. Build the company’s AI agent foundation by identifying automation opportunities and deploying production-grade agents across the sales organization. Partner with Sales Operations to maintain data integrity, define pipeline logic, and support forecasting. Design quota models and administer compensation plans while building and leading the Revenue Operations team in an early-stage B2B software environment.