Independent AI project management

Independent AI Project Manager for Shippable, Measurable AI Work

I help teams turn AI products and AI-enabled workflows into structured delivery plans, coordinating requirements, technical dependencies, testing, launch, adoption, operations, and continuous improvement.

255% Increase in qualified leads
AI SaaS Hands-on operating experience
50+ Completed projects
Top Rated Plus Upwork status

What I manage

AI delivery without losing sight of the business

I do not position myself as the machine-learning engineer. My role is to make sure the right problem is being solved, the work is coordinated, quality is evaluated, stakeholders stay aligned, and the finished system creates usable business value.

Use Case & Outcome Definition

Translate the business problem into clear objectives, users, constraints, success metrics, priorities, and measurable deliverables.

Requirements & Backlog

Structure requirements, priorities, acceptance criteria, dependencies, decisions, and delivery sequencing into an actionable plan.

AI Product Coordination

Coordinate product, engineering, operations, subject-matter experts, clients, and leadership around shared AI delivery outcomes.

AI Workflow Automation

Map existing processes, identify practical automation opportunities, and coordinate implementation into real business operations.

Evaluation & Testing

Organize evaluation criteria, test scenarios, human feedback, defects, edge cases, quality reviews, and acceptance evidence.

Risk & Scope Control

Keep assumptions, limitations, dependencies, changes, operational risks, and unresolved decisions visible throughout delivery.

Launch & Adoption

Coordinate readiness, documentation, training, rollout, stakeholder communication, adoption, and post-launch stabilization.

Performance & Iteration

Connect user feedback, AI performance, and operational metrics back into prioritization and continuous improvement.

AI SaaS experience

From AI output to an operating system around it

255% Increase in qualified leads
AI outreach platform

Scaling AI Quality, Operations, and Campaign Execution

I joined an AI SaaS engagement initially focused on reviewing and improving AI-generated messaging. The role expanded into team and customer success operations, campaign coordination, quality control, KPI tracking, reporting, and process design.

Quality Structured review of AI-generated output and feedback.
People Expanded from individual contributor into team management.
Operations Built clearer campaign schedules, ownership, and reporting.
Outcome Operational improvements supported a 255% increase in qualified leads.

AI delivery framework

A disciplined path from “we should use AI” to production value

01

Define the Job

Clarify the user problem, desired business outcome, workflow, constraints, baseline, and measurable success criteria.

02

Design the Delivery Plan

Break the initiative into requirements, milestones, owners, dependencies, evaluation points, and key decisions.

03

Coordinate Build & Integration

Keep technical work aligned with product, operational, customer, and implementation requirements throughout delivery.

04

Evaluate Real Outputs

Organize testing around representative scenarios, quality criteria, edge cases, human review, and documented acceptance evidence.

05

Launch into the Workflow

Prepare users, documentation, controls, support, communications, and operational ownership for successful adoption.

06

Measure & Improve

Track business outcomes and user feedback, then turn what is learned into the next delivery priorities and improvement cycles.

Why AI projects need PM discipline

The technology can be probabilistic. The project cannot be.

AI Quality Requires Evaluation

AI output often requires defined evaluation criteria, representative scenarios, and human judgment rather than a simple pass or fail test.

Iteration Must Be Controlled

AI initiatives need room for learning and refinement without turning every new discovery into uncontrolled scope expansion.

Workflow Fit Matters

A technically impressive AI system creates limited value if it does not fit how users actually perform the work.

Business Outcomes Matter Most

AI performance should ultimately connect to adoption, efficiency, revenue, quality, or another clearly defined business outcome.

Client feedback

Trusted in an AI-first operating environment

“We initially hired Eli as a message editor for our AI. Eli did a terrific job and is now managing a full team of editors. We would love to move with Eli toward a CSM management role.”

Upwork Client AI SaaS Engagement

“His impeccable organizational skills were evident in the seamless management of our campaign schedule. The campaigns rolled out like clockwork and potential hurdles were proactively addressed.”

Upwork Client SellScale CSM Management Engagement

“Eli is an extremely talented individual. He went from zero knowledge to being the knowledge specialist at our company. I highly recommend Eli for his strong work ethic, honesty, and affable nature.”

Ishan Sharma CEO and Founder, SellScale

Frequently asked questions

Before we work together

Are you an AI or machine learning engineer?

No. I work as the project and operations leader around AI delivery, coordinating technical specialists and business stakeholders rather than presenting myself as the engineer building the underlying models.

Can you manage an AI SaaS product or feature?

Yes. I can manage requirements, backlog, stakeholders, delivery, evaluation, operational readiness, launch, reporting, and iteration around AI-enabled products and features.

Can you manage AI workflow automation projects?

Yes. I can map the current process, define the target workflow, coordinate technical implementation, manage testing, document the new operating model, and support adoption.

Can you coordinate developers and non-technical stakeholders?

Yes. Translating between technical delivery and business requirements is a core part of my project management work.

Can you manage AI evaluation and testing?

Yes. I can coordinate evaluation criteria, representative test scenarios, human review, issue tracking, acceptance evidence, and feedback loops without presenting myself as the underlying ML engineer.

Can we hire you through Upwork?

Yes. Upwork is the preferred contracting route. My profile is Top Rated Plus with a 100% Job Success Score.

Move the AI project forward

Give the initiative an owner for everything between idea and outcome

Share what you are building, the business problem, the teams involved, and where delivery is getting stuck. I’ll help create the structure needed to move it forward.

Available for 1099 contract and Upwork engagements only — not eligible for W-2 employment in the U.S.

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