SENIOR PROJECT MANAGER
Framework for AI Computer Vision SaaS (eMagicEyes)
- Department: Delivery
- Reports To: Delivery Director
- Location: Floor 2, An Cu Duc Phu Building, 3/1 Thanh Thai Street, Ho Chi Minh City, Vietnam.
- Employment Type: Full-Time (Office)
- Working time: Monday – Friday (9h00 – 18h00), take a nap 1 hour.
- Salary: Market-competitive, negotiable based on experience and capability
GENERAL TEAM OVERVIEW
The Project Management & Delivery team at RainScales (eMagicEyes) sits between Product, AI, Platform Engineering, QC, OPS, CS, Sales, and the Client. The team is responsible for onboarding clients, orchestrating deployments, managing client expectations, ensuring successful solution adoption, and supporting pre-sales (site check).
This is a SaaS Managed Service Project Management role focusing, operational feasibility, scenario validation, and expectation management within the AI Computer Vision domain.
(This is NOT a traditional software outsource PM role)
Role Boundaries (What This Team Does NOT Own)
- AI model training, core algorithm decisions, or deep data science R&D;
- Core Software/Cloud infrastructure architecture engineering;
- Commercial negotiations, pricing creation, or contract budget ownership;
- Direct engineering resource allocation or task-level sprint planning inside product teams;
- Writing core product technical specifications or platform code.
KEY RESPONSIBILITIES
Job Purpose: Independently manage the end-to-end deployment lifecycle of eMagicEyes for clients, actively drive technical presales site assessments to provide standard solutions, and ensure clear project acceptance criteria.
- End-to-End Onboarding: Own the client onboarding journey from post-sales handover to final go-live, ensuring adherence to standard playbooks.
- Acceptance Criteria Management: Define and align measurable acceptance criteria with clients prior to the implementation and UAT phases (e.g., detection coverage, response times, supported environmental scenarios).
- AI Deployment Risk Assessment: Assess survey data to identify deployment risks and manage client expectations regarding AI accuracy trade-offs (Recall vs. Precision).
- Business Validation: Lead operational acceptance checking using real-world data samples to minimize false positives/negatives before client sign-off.
- Operational Handover: Ensure operational readiness and a successful, documented transition to the Customer Success and Support teams post go-live.
- Presales & Site Assessment: Lead site surveys and technical pre-sales checks at client locations. Evaluate physical infrastructure (camera angles, connectivity, lighting conditions, hardware constraints) and provide standard AI CV deployment solutions to the sales team and client.
- Advanced Presales Solutioning: Conduct comprehensive technical pre-sales consultations and field assessments for complex environments (e.g., factories, shipyards, refineries). Diagnose structural challenges, assess hardware/network feasibility, and provide optimized, tailored AI CV solutions that match platform capabilities.
- Enterprise Project Delivery: Orchestrate high-risk, large-scale, or structurally complex deployments requiring deep integration with client infrastructure.
- Scope & Scalability Protection: Act as the primary gatekeeper against scope creep. Confidently navigate ambiguous client demands, aligning them back to standard platform capabilities.
- Product Feedback Loop: Identify recurring delivery pain points or missing presales capabilities, collaborating with Product and AI Engineering teams to convert custom client requests into scalable, reusable platform capabilities.
- Playbook Optimization: Continuously refine pre-sales assessment templates, deployment playbooks, SOPs, and acceptance criteria templates based on field experience.
QUALIFICATIONS & SKILLS
- From 3-5 years of experience as a Project Manager, Deployment PM, or Technical Consultant in SaaS, Cloud, System Integration, or IoT solutions;
- Presales Capabilities: Proven experience conducting technical site surveys, interpreting physical infrastructure constraints, and drafting technical solution proposals.
- AI CV Deployment Knowledge: Solid understanding of FPS vs. resolution trade-offs, edge vs. cloud limitations, data drift, and environmental impacts on AI models.
- Expectation Management: Proven ability to manage difficult stakeholder expectations while protecting delivery scope and operational scalability.
- Good English communication skills, both verbal and written.
WHY YOU'LL LOVE WORKING HERE
- Full social insurance coverage based on full salary, applied from the probation period;
- Premium Health Insurance (Generali);
- Full provision of office facilities and working equipment;
- Participation in various company culture activities such as company trips, annual year-end parties, team building, Mid-Autumn Festival, Men's Day, Women's Day, and many other events;
- 13th-month salary and Tet bonus, along with other performance-based rewards;
- 12 days of annual leave, plus public holidays and Tet holidays in accordance with Vietnamese labor law;
- Annual performance review (once per year);
- Annual health check-up;
- Participation in company events such as International Women's Day (Mar 8), Vietnamese Women's Day (Oct 20), International Men's Day celebrations, Christmas, Mid-Autumn Festival, etc;
- Birthday gifts and employee care policies supported by the Company and the Trade Union;
- Year-End Party, Team Building, and Company Trip organized annually;
- A technology-driven, open, and supportive working environment;
- Opportunities to gain hands-on experience in QA, product development, and project management.
APPLY NOW:
- Email: [Confidential Information].
- Zalo: 0935 538 968 (Quỳnh Giao – HR Recruiter at Rainscales Vietnam)
