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Design intuitive AI-native experiences for a technical automation platform used by engineers. Responsibilities include mapping complex user journeys, rapidly prototyping with AI and code, conducting user research and testing, collaborating with product managers and developers, shaping product vision, refining experiences through feedback and analytics, and maintaining a consistent code-first design system.

Partners with sales and customer success teams to understand engineering challenges, create tailored workflows and technical demonstrations, and communicate the business value of Synera’s AI-powered automation platform. Acts as a technical advisor to engineering customers, supports strategic deals, builds ROI narratives, and develops custom demo scenarios. Requires experience in customer-facing technical B2B SaaS roles, CAD/CAE systems, mechanical parts, and manufacturing processes.

Build and improve Synera’s web execution platform, low-code desktop editor, and customer portal. Own features end-to-end, simplify complex engineering automations, collaborate on technical design, review code, support customers, prototype solutions, and contribute to architecture and software development practices. Over time, take ownership of larger features, epics, technical domains, and module-level design decisions.

Own and maintain the GTM data stack and CRM systems end-to-end: extract and model data, build ETL/Timescale pipelines, manage Salesforce and HubSpot administration and integrations, deliver reporting and forecasting (Power BI/Salesforce), ensure data quality and monitoring, and expose data for AI agents.

Lead development and ownership of end-to-end evaluation and agentic systems. Build agent graphs, create golden datasets, implement LLM-as-judge pipelines, CI gating, reliability fixes, and production tracing to ensure trustworthy agent deployments.

Drive revenue by partnering with sales teams, understanding customer engineering challenges, and creating tailored technical demonstrations, workflows, presentations, and ROI narratives. Serve as a technical advisor to engineering leaders, showcase AI-powered automation, support strategic deals, collaborate with Customer Success on handoffs, and develop custom demo scenarios. The role requires CAD/CAE knowledge, familiarity with mechanical parts and manufacturing processes, strong communication, storytelling, and regular travel.

Generate qualified pipeline for Account Executives through high-volume outbound prospecting, including calls, email, and LinkedIn outreach. Engage senior decision-makers at deep-tech companies, explain Synera’s AI solutions, qualify leads, schedule discovery meetings, and optimize outbound campaigns. Analyze performance, test messaging, use CRM and prospecting tools, and collaborate with Sales and Marketing while developing expertise in AI and engineering software.

Own Synera’s data warehouse and ingestion infrastructure, integrating GTM and business systems into reliable, documented, monitored pipelines. Build data models, reporting and forecasting layers, and agent-ready interfaces using APIs, MCP connectors, permissions, and governance. Develop retrieval infrastructure for documents and unstructured content, including chunking, embeddings, and indexing. Partner with teams across the company to improve data quality and make business information usable by AI agents.

Own the transition of a .NET desktop backend to a headless, containerized platform. Build Docker images, CI/CD pipelines, on-prem installation, upgrade, rollback, licensing, authentication, secrets management, and observability workflows. Develop MCP servers and agent skills for AI-native platform operations, drive deployments independently, and help grow the Platform team.

Develop and own add-ins and integrations for engineering tools (CAD, PLM, simulation) within Synera's agentic automation platform. Collaborate with partners, lead integration projects end-to-end, use AI-enabled workflows, review code, and deliver customer-facing value while contributing to architecture and mentorship over time.