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AppliedAI
Posted 32 days agoVerified live 12h ago

Project Manager

Brief overview

Remote
IT TransformationSaaSArtificial IntelligenceData ProjectsProcess AutomationJiraMonday.comAsanaConfluenceProject GovernanceAgile MethodologyWaterfall MethodologyAPI IntegrationsStakeholder ManagementProject Management

About the company

AppliedAI is a technology company that provides AI-augmented automation for mission-critical business workflows.

Job description

Summary

AppliedAI is an AI technology company that builds Opus, an agentic automation platform for enterprises in regulated industries. The Project Manager will lead complex client implementation and transformation projects across their full delivery lifecycle, manage cross-functional teams and stakeholders, and oversee risks, scope, quality, governance, and post-deployment value realization.

Responsibilities

  • Own full delivery lifecycle for assigned projects: scoping, planning, execution, testing, deployment, and post-go-live stabilization
  • Build and maintain detailed project plans, RAID logs, daily and weekly reporting
  • Establish governance cadence (stand-ups, steering committees, sprint reviews)
  • Coordinate cross-functional teams to ensure dependencies are managed and deliverables are met
  • Track project health through clear KPIs and milestones, escalating early when needed
  • Act as the primary day-to-day contact for client project teams
  • Coordinate client discovery sessions with key stakeholder groups to uncover and define new strategic product use cases
  • Actively partner with clients post-deployment to identify additional product value and strategic use cases
  • Translate requirements into actionable plans and ensure alignment across functions
  • Manage expectations, budgets, quality, scope changes, decisions, and approvals with clarity and consistency
  • Support UAT, training, and enablement activities for client stakeholders
  • Proactively identify risks and blockers, driving resolution and mitigation plans
  • Ensure project documentation is clear, consistent, and up to date at all times
  • Monitor scope creep and guide stakeholders through structured change-control
  • Maintain delivery quality standards and ensure alignment with company methodologies
  • Partner with Product and Engineering to streamline delivery workflows and handovers
  • Share lessons learned, contribute to playbooks, and support operational improvements
  • Mentor Project Coordinators or analysts where required
  • Contribute to resource planning and internal delivery capacity forecasting

Skills

  • Candidates must already be authorized to work in the United States for any employer, without current or future sponsorship, to be considered
  • A minimum of 4 years of experience in project management, delivery, consulting, or program coordination
  • Proven ability to manage multiple complex IT transformation projects across cross-functional teams
  • Strong organizational and execution skills, able to bring structure to ambiguity
  • Experience with SaaS, technology, AI, data, or process-automation projects
  • Excellent communication and stakeholder-management capabilities, including strong presentation skills
  • Proficiency in delivery tools (Jira, Monday, Asana, Confluence, Gantt tools, etc.)
  • Experience running project governance: stand-ups, sprint cycles, retros, steering committees
  • Confident and professional client-facing presence; adept at managing senior stakeholders and driving decision-making
  • Operates autonomously with minimal direction; escalates only when necessary
  • Strong judgement and ability to prioritize across competing demands
  • Highly structured with excellent attention to detail
  • Confident in managing senior stakeholders and driving decision-making
  • Brings energy, ownership, and reliability to fast-paced, scaling environments
  • Demonstrates cross-functional empathy and works well with Product, Tech, and Clients
  • Austin, Texas preferred
  • Experience delivering enterprise implementations or workflow automation
  • Familiarity with Agile and Waterfall methodologies
  • Background in consulting, customer success, or technical delivery
  • Ability to read basic technical documentation or understand API/SaaS integrations

Qualifications

Must Haves

  • Candidates must already be authorized to work in the United States for any employer, without current or future sponsorship, to be considered
  • A minimum of 4 years of experience in project management, delivery, consulting, or program coordination
  • Proven ability to manage multiple complex IT transformation projects across cross-functional teams
  • Strong organizational and execution skills, able to bring structure to ambiguity
  • Experience with SaaS, technology, AI, data, or process-automation projects
  • Excellent communication and stakeholder-management capabilities, including strong presentation skills
  • Proficiency in delivery tools (Jira, Monday, Asana, Confluence, Gantt tools, etc.)
  • Experience running project governance: stand-ups, sprint cycles, retros, steering committees
  • Confident and professional client-facing presence; adept at managing senior stakeholders and driving decision-making
  • Operates autonomously with minimal direction; escalates only when necessary
  • Strong judgement and ability to prioritize across competing demands
  • Highly structured with excellent attention to detail
  • Confident in managing senior stakeholders and driving decision-making
  • Brings energy, ownership, and reliability to fast-paced, scaling environments
  • Demonstrates cross-functional empathy and works well with Product, Tech, and Clients

Nice to Haves

  • Austin, Texas preferred
  • Experience delivering enterprise implementations or workflow automation
  • Familiarity with Agile and Waterfall methodologies
  • Background in consulting, customer success, or technical delivery
  • Ability to read basic technical documentation or understand API/SaaS integrations

Benefits

  • Opportunity to play a key role in establishing a new market for a leading AI company.
  • Exposure to cutting-edge AI/ML applications in real-world business contexts.
  • Collaborative, innovative, and growth-driven work environment.
  • Career advancement opportunities.

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