Jobs at Ocient

Build and maintain test automation, performance testing and analysis tooling for a distributed database (primarily in Python). Collaborate with stakeholders to create reproducible tests, extend developer tooling, and produce documentation and runbooks for maintainers and developers.

Drive account-based prospecting and pipeline generation into telecommunications carriers and CSPs across the Americas. Develop executive relationships, qualify opportunities, coordinate discovery with AEs, collaborate on ABM campaigns and partner channels, and use AI-powered sales tools and CRM to accelerate sales velocity and contribute to revenue targets.

Maintain and expand Ocient's hosted data warehouse services with a focus on high availability, performance, observability, automation, security, and incident management. Build monitoring, logging, alerting, CI/CD, and automate Linux server deployments while supporting backup, DR, and test infrastructure.

Lead design and implementation of batch and stream loading systems to ingest terabytes daily. Provide technical leadership on the Streamloader team, collaborate with architects, engineers, product, sales, and customers, and develop high-performance distributed software in C++ and/or Java while ensuring system reliability and customer success.

Design and implement production ML features, close behavior gaps with common frameworks, investigate divergences, improve performance and stability, and document designs and tests for geospatial and large-scale ML workflows.

Lead product strategy and roadmap for Ocients database solutions. Translate customer problems into feature specifications, prioritize high-value work, collaborate with technical PMs, sales, and marketing, drive complex projects to delivery, and engage directly with customers and partners on large-scale data ingest, warehousing, and analytics use cases.

Lead technical strategy and win execution for CSP opportunities: run discovery workshops, design OcientAIQ hybrid architectures, integrate with cloud data/AI ecosystems, orchestrate partners, author customer specifications, support pilots and production sizing, and translate field feedback into product and engineering improvements.

Lead technical strategy and architecture for CSP opportunities, run discovery workshops, design OcientAIQ hybrid data solutions, integrate with cloud data/AI ecosystems, orchestrate partner engagements, drive proofs-of-value and production readiness, and influence product and delivery teams for repeatable customer outcomes.