Project Manager
- Serve as the primary point of contact for multiple enterprise client projects, owning day-to-day project management and ensuring successful delivery against defined scopes, timelines, and outcomes.
- Drive execution across internal subject matter experts, coordinating work across disciplines and keeping the team unblocked.
- Track and manage timelines, budgets, dependencies, and KPIs/OKRs; set expectations early and keep them current as projects evolve.
- Proactively manage project health, including scope, schedule, risks, and client expectations; surface issues early and coordinate resolutions to keep engagements on track.
- Facilitate the delivery of professional services in a scientific and technical setting (geology, geophysics, geospatial data, ML/AI, data science, and software engineering).
- Run structured internal and external meetings: agendas, notes, decisions, action items, owners, and follow-through.
- Build trusted client relationships through clear communication, structured status reporting, and thoughtful facilitation.
- Ensure delivery quality by confirming the customer is getting the evidence and outputs they need, and by catching gaps early in the technical workstream.
- Contribute to playbooks, tools, and templates so Terra AI can run more client engagements in parallel while maintaining high standards.
- Support business development by helping create project plans, budgets, and timelines, and by identifying follow-on opportunities as trust builds.
- 5+ years of professional experience as a project manager, delivery lead, or account/program manager, ideally in a client-facing role within professional services and/or SaaS.
- Demonstrated ability to manage complex technical projects in scientific or data-driven environments (for example: ML/AI, data science, geospatial systems, engineering software, or adjacent technical consulting).
- Strong technical fluency: able to build a working mental model of the system, coordinate experts, and triage issues without being the domain expert yourself.
- High ownership and bias toward execution: you relentlessly follow up, close loops, and keep projects moving.
- Exceptional organizational skills and attention to detail across parallel workstreams.
- Strong written and verbal communication, including with enterprise customers and deep subject experts.
- Experience managing delivery for technical consulting or professional services engagements.
- Familiarity with machine learning or data science workflows (helpful for spotting gaps in the delivery of the technical product).
- Experience building or improving delivery operations: templates, status cadences, RAID logs, project health dashboards, or similar systems.
- Comfort working in ambiguous environments where scope sharpens through execution.
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