Top Tech Jobs & Startup Jobs

Prospect and close new startup accounts while expanding existing customers for Databricks Lakehouse. Build a territory plan, drive transactions and strategic deals, meet pipeline and revenue targets, maintain Salesforce and Clari hygiene using MEDDPICC, and communicate product value to compress decision cycles.

Lead pre-sales technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI initiatives. Act as main technical voice, build proofs-of-concept, create technical champions, mentor teammates, and align solutions to customer strategy while engaging executives and managing large global accounts.

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.

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.

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 and grow a marquee public sector account in Montreal by driving adoption and expansion of Databricks data and AI platform. Lead full sales cycle, build executive relationships, develop account strategy, identify AI/data use cases, orchestrate internal teams and partners, and exceed revenue targets.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Lead Databricks’ Learning initiative across self-paced and enterprise-managed learning products. Define technical and product strategy, own roadmap and delivery from 0-to-1 through large-scale adoption, establish engineering excellence, and partner cross-functionally with R&D, Learning, Marketing, and Field Engineering. Manage approximately 12 engineers while scaling the organization and building AI-powered learning systems, interactive labs, identity, sandboxing, provisioning, and distributed infrastructure for millions of learners.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions while implementing end-to-end systems involving data engineering, pipelines, distributed computing, ML/AI models, and applications. Partner with customers, project managers, architects, engineering, and support teams to deliver measurable outcomes, guide adoption, resolve issues, and create reusable technical assets. The role requires customer immersion, enterprise stakeholder management, technical project delivery, and 20% customer travel.