Top Tech Jobs & Startup Jobs in Pittsburgh, PA

The Salesforce Technical Project Manager leads projects from initiation to completion, manages budgets, tracks progress, and ensures client satisfaction while fostering collaboration among team members.

Lead FP&A service delivery for multiple clients: manage analysts, build dashboards and assumptions-driven financial models, prepare monthly financial reports, run budgeting and forecasting, analyze unit economics and margins, collaborate with accounting, and perform ad-hoc analyses to support fundraising and strategic decisions.

The role involves evaluating and documenting metrics and approaches for fault-tolerant quantum computing, working closely with DARPA's Quantum Benchmarking Initiative team.

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.

Develop and integrate game features using Unity, C#, and various APIs while ensuring game performance and quality standards are met.

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.

The role involves encouraging individuals to apply for instructional positions in boot camps, reviewing resumes, and aligning candidates with roles based on availability.

Lead pre-sales technical engagements: run demos and POCs, design API architectures, build engineer-to-engineer relationships, support deal conversions, and feed customer insights into product and engineering.

Create technical developer-focused content (short and long form), drive SEO/AEO strategy, produce tutorials, research reports, and product launch content; partner with engineering and product marketing to boost traffic, signups, and developer adoption.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.