Top Tech Jobs & Startup Jobs

Lead the design and development of sales data models, CRM-integrated AI agents, and permissioned write paths for revenue teams. Build scalable GenAI interfaces for complex workflows with transparency and human approval. Partner with product, design, and engineering teams to define initial use cases, launch MVPs, and drive adoption. Provide technical and people leadership in a 0-to-1 product environment.

Leads scalable advertising data ingestion, normalization, aggregation, identity resolution, and agentic workflow development. Establishes correctness and evaluation standards for noisy measurement data, while partnering with product, design, and engineering teams to deliver scalable solutions. Requires deep advertising API and ad-tech measurement expertise, production LLM experience, and technical and people leadership in complex enterprise environments.

Develop and productionize GenAI applications for federal-sector customers, including RAG, multi-agent systems, Text2SQL, and fine-tuning solutions. Advise customers, lead production rollouts, present technical concepts, collaborate with product and engineering teams, and influence the AI product roadmap. The role requires production machine learning deployment experience, strong data science expertise, customer-facing communication, U.S. citizenship, Secret clearance eligibility, and periodic customer travel.

As a Startup Account Executive, you'll drive sales by managing both new and existing accounts, exceeding KPIs, and pursuing new opportunities. You'll develop a territory plan, align customers with product vision, and ensure great CRM hygiene.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design decisions, data pipelines, applications, ML/AI integrations, and end-to-end deployment. Partner with customers, project managers, architects, engineering, product, and support teams to deliver measurable outcomes. Guide technical adoption, train stakeholders, resolve implementation issues, and create reusable frameworks. The role requires customer empathy, enterprise stakeholder management, technical project delivery, and travel to customers approximately 20% of the time.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, guide production deployments, and drive Databricks adoption. Advise senior technical stakeholders, lead architecture and coding demonstrations, build competitive solutions, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead and motivate a team of Hunting Account Executives focused on acquiring VC-backed startup customers. Own revenue targets, pipeline generation, new-logo acquisition, and quota attainment. Develop strategic sales plans, coach account executives in prospecting and deal execution, translate technical products into business value for C-suite buyers, and build relationships with customers, partners, and employees. Travel may be required up to 25%.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, conduct architecture discussions, drive Databricks adoption and consumption growth, and serve as a trusted advisor to senior technical stakeholders. The role includes developing technical specialization, orchestrating cross-functional resources, building custom competitive solutions, influencing product direction, and demonstrating coding, design, and presentation skills throughout the interview process.

Lead technical strategy for customer accounts by designing scalable data, AI, machine learning, streaming, and real-time analytics solutions. Conduct architecture discussions, whiteboarding, design reviews, and live coding; advise senior technical stakeholders; drive Databricks adoption and consumption; coordinate cross-functional resources; demonstrate solutions in competitive situations; and provide product feedback. Requires strong Python and SQL skills, public-cloud deployment experience, and expertise in distributed data systems.