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AiDash

AI-first satellite ops and maintenance SaaS

Senior Manager - Professional Services

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • At least 8 years of experience in technical project management or professional services delivery, including at least 5 years as the primary customer-facing lead on enterprise implementations.
  • Background in IT services, consulting, or SaaS professional services delivering SaaS, data, integration-heavy, or AI/ML-powered platforms for enterprise clients, including setting customer expectations on model accuracy and how AI results are checked.
  • A proven track record of running concurrent customer implementations with distributed, cross-functional teams across time zones.
  • A solid technical foundation in cloud platforms such as AWS or Azure, APIs and integrations, data migration, and the software development life cycle; able to engage credibly with engineers and customer IT teams.
  • Hands-on experience with scoping, estimation, statements of work, and change requests, while keeping delivery within contracted scope.
  • Working command of Agile and Waterfall delivery, with hands-on experience using JIRA and standard project management tools.
  • Experience running kickoffs, steering committees, and executive readouts with customer stakeholders.
  • A bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Ability to travel to customer locations up to 20–30% of the time.

Responsibilities

  • Lead multiple concurrent SaaS implementation projects for enterprise customers, including planning, execution, risk management, and go-live.
  • Act as the primary customer-facing delivery lead by running kickoffs, steering committees, status reviews, and executive readouts.
  • Translate customer requirements into clear project plans, work breakdowns, and technical tasks for cross-functional teams.
  • Manage technical workstreams including data ingestion and migration, system integrations involving APIs, GIS, and enterprise systems, configuration, user acceptance testing, and deployment.
  • Support pre-sales and scoping by contributing to effort estimates, statements of work, and change requests, and keep delivery within contracted scope.
  • Track and report project health, including schedule, budget, risks, and dependencies, using JIRA and professional-services tooling; escalate early and propose options.
  • Use AI tools such as Claude every day to speed up delivery work, including status reports, requirements, statements-of-work drafts, and meeting follow-ups.
  • Coordinate with globally distributed delivery teams across US, India, and UK time zones.
  • Partner with Sales and Customer Success to drive adoption, value realization, and expansion.
  • Contribute to delivery playbooks, templates, and process improvements that shorten time-to-value.

Desired Qualifications

  • Experience implementing data-heavy or analytics SaaS platforms.
  • Experience with utilities, energy, or critical infrastructure customers.
  • Exposure to geospatial/GIS data, remote sensing, AI/ML-driven or GenAI products, including answering customer questions on AI governance, data use, and security.
  • PMP, CSM/PSM, or equivalent certification.

About the Company

AiDash

AI-first satellite ops and maintenance SaaS

AiDash provides an AI-first, satellite-powered SaaS for managing and protecting geographically distributed infrastructure, licensing its platform to utilities and other asset-heavy industries to improve operations, safety, and sustainability. It combines high-resolution satellite imagery with proprietary AI models to monitor and predict conditions across a client’s network, with modules such as IVMS for vegetation near power lines, ISMS for biodiversity and carbon goals, CRIS for climate risk, and DDMS for disaster forecasting; in 2024 it launched a Full Stack Platform for Grid Inspection and Monitoring to give a single view of an entire utility network. It differentiates itself by offering integrated satellite analytics across multiple functions with measurable outcomes and ROI within the first year. Its goal is to strengthen climate resilience and grid reliability while reducing costs and advancing sustainability, and to grow internationally through expanded product reach.

Company size
201-500
Company stage
Acquired
Total funding
$101.5M
Headquarters
Palo Alto, CA
Founded
2019

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