Top Tech Jobs & Startup Jobs

Serve as the field product manager for FDE engagements: scope C-suite value, define pilot MVP and PRD, prioritize engineering backlog, run agile delivery, manage launch and adoption, and hand off ongoing maintenance and growth opportunities.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end design, implementation, and deployment of data pipelines, ML/AI model integrations, and applications, while enabling customers through training, documentation, and reusable assets. Works cross-functionally to scope engagements and deliver measurable outcomes.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.

Lead and grow a team of ~10 Forward Deployed Engineers to design, build, and productionize large-scale data and AI solutions on Databricks. Own delivery strategy, mentor engineers, act as senior technical escalation, shape engagements with customers and stakeholders, and develop reusable delivery patterns and best practices to drive measurable customer outcomes.

Own new-logo acquisition for large Australian enterprises, prospecting and engaging decision-makers, driving complex, consumption-based Databricks deals from discovery through close, managing pipeline in Salesforce, leading proofs-of-concept, and coordinating cross-functional teams to ensure customer success and strategic value realization.

The role involves shaping big data solutions, collaborating with customers and teams, and providing technical leadership in data engineering and AI.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Own architecture, deliver production-grade pipelines and ML integrations, embed with customers, drive technical strategy, contribute reusable assets, and ensure successful adoption and measurable outcomes.

Lead and grow the Emerging Enterprise sales organization in DACH: define go-to-market and revenue plans, drive quota attainment, manage forecasting and pipeline, support strategic accounts, hire and develop AEs, align territories and quotas, and implement scalable sales processes.

Lead post-investment partner portfolio strategy for ~15 venture-backed partners, drive joint business plan execution, accelerate partner-sourced pipeline, enforce certification/governance, unblock cross-functional execution, surface scaling signals, and identify next-generation investment candidates.

Lead and scale a Forward Deployed Engineering team delivering enterprise data migrations, AI/ML and GenAI solutions on Databricks. Oversee delivery quality, billable utilization, risk management, stakeholder engagement, and reusable accelerators; mentor engineers and serve as escalation point for high-stakes customers. Requires collaborating with sales and product teams and ~20% travel.