AiDash
Senior Manager, Professional Services
$160K–$230K
Palo Alto, California, United States · Manager · Full-time · Posted Oct 5, 2026
- Experience
- 8+ years overall; at least 5 years as the primary customer-facing lead on enterprise implementations. Travel to customer locations up to 20–30% of the time.
- Education
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
About the job
Own end-to-end technical delivery of enterprise utility SaaS implementations, serving as the customer-facing lead from kickoff through go-live and handoff to Customer Success.
What you'll do
- Lead concurrent implementations, managing plans, risks, technical workstreams, scope, schedule, and go-live.
- Run customer kickoffs, steering committees, status reviews, and executive readouts; coordinate cross-functional and globally distributed teams.
- Support scoping and pre-sales, report project health, improve delivery processes, and promote adoption and value realization.
What they ask for
- 8+ years in technical project management or professional services delivery, including at least 5 years as the primary customer-facing lead on enterprise implementations.
- Experience delivering SaaS, data, integration-heavy, or AI/ML-powered platforms to enterprise clients, including setting expectations about model accuracy and AI-result checks.
- Technical foundation in cloud platforms (AWS/Azure), APIs, integrations, data migration, and SDLC; experience with scoping, estimation, SOWs, and change requests.
- Working command of Agile and Waterfall, hands-on JIRA and standard PM tools; bachelor’s degree in Computer Science, Engineering, or a related technical field.
Nice to have
- Experience with data-heavy or analytics SaaS platforms, utilities, energy, critical infrastructure, geospatial/GIS, remote sensing, AI/ML, or GenAI products.
- PMP, CSM/PSM, or equivalent certification.
Pay
$160,000 to $230,000 USD annual total pay (base salary + bonus)
Tools
AWS/Azure, APIs, GIS, JIRA, Agile, Waterfall, SaaS, Claude
AI focus
Use AI tools such as Claude daily to accelerate delivery work, including status reports, requirements, SOW drafts, and meeting follow-ups; deliver AI/ML-powered platforms and address customer expectations for model accuracy and AI-result checks.
Model-written summary · the original posting is authoritative