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.

Design and build AI-driven product features on customer business data, own services in production, develop microservices and APIs, optimize relational and NoSQL databases, deploy on AWS, use AI coding agents, solve ambiguous problems end to end, ensure reliability, and mentor engineers.

Design, build, and maintain AWS infrastructure, backend APIs, internal tools, and automation. Troubleshoot IAM, ECS, networking, logging, authentication, security, and production issues. Manage infrastructure through AWS CDK or CloudFormation and maintain GitLab CI/CD pipelines. Support SOC 2 and ISO 27001 audits by providing AWS evidence, while developing Claude agents and improving platform reliability, security, and developer productivity.

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.

Leads a forward-deployed engineering team delivering customer-specific software and AI solutions for complex ERP and IT transformations. Partners with enterprise stakeholders on discovery, architecture, pilots, integrations, and production deployments. Builds AI agents, analytical workflows, data pipelines, and enterprise applications while establishing secure, scalable engineering practices. Identifies reusable patterns across engagements and converts successful solutions into product capabilities. Mentors engineers, influences product strategy, and develops repeatable deployment approaches for enterprise customers.

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.

Own a major enterprise transformation product area end-to-end, including strategy, roadmap, execution, enablement, metrics, and customer outcomes. Drive both 0-to-1 launches and scaling of production products, partner closely with engineering and design, define AI agent experiences, translate customer needs into specifications, and represent the company with customers, partners, and the broader market.

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.