Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead and scale the customer success organization, managing customer lifecycle, driving ARR expansion, and fostering a data-driven culture.

Lead strategic partnerships and business development to drive revenue in cybersecurity. Develop partnerships, negotiate deals, and collaborate cross-functionally for growth.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The Data & CVML Manager leads the development of autonomy for vehicles, focusing on data and ML processes from collection to deployment, while managing a team and ensuring technical performance aligned with safety requirements.

The Full Stack Software Engineer role involves building and maintaining web applications, collaborating on product features, and contributing to the company's engineering culture.

As an Engineering Manager, you will lead a team to enhance hospital operations through AI software, focusing on user-facing features and technical management.

Own the revenue operations engine while designing systems and processes across Sales, Growth, and Customer teams to ensure predictable revenue and effective go-to-market execution.

Own onboarding, implementation, and go-live for enterprise clients; lead executive strategic reviews and ROI discussions; monitor adoption, usage, and health metrics; manage escalations and coordinate resolutions; identify upsell/expansion opportunities; advocate customer needs to drive product roadmap; build relationships and scalable Enterprise CSM processes.

The Sales Engineer will assist customers in technical discovery, lead product demos, guide sales cycles, and collaborate with account executives to close deals.