

Technical Product & Project Lead (ML Ops Systems)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Product & Project Lead (ML Ops Systems) with a contract length of "unknown," offering a pay rate of "unknown." It requires 5+ years in hybrid product/project roles, experience in ML Ops, and strong skills in project management and systems coordination. Remote-first, with a preference for candidates in Texas and Florida.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Distributed Computing #ML Ops (Machine Learning Operations) #Anomaly Detection #Documentation #Statistics #Lean #Agile #Leadership #Jira #ML (Machine Learning) #Data Pipeline #Strategy #Project Management
Role description
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What We’re Building
Versai Labs operates at the frontier of Decision Trust, defining a new category of operational intelligence built for the post-data-failure era. We design causal-first systems that catch anomalies before they corrupt models, break ops, or distort critical decisions. Our flagship platform is a real-time first-mile signal trust layer that intercepts malformed or misleading inputs at the ingest point. You’ll join the team, helping engineer its core: a composite architecture for scoring, traceability, and enforcement.
This is leadership under fire, your judgment will be tested daily. Can you hold the room in both the C-suite and the science wing?
About the Role
We’re hiring a rare hybrid—someone who moves with product instinct and executes with project precision. You’ll work side-by-side with founders, engineers, and scientists to launch a first-of-its-kind trust enforcement platform that safeguards every downstream system.
This role is a synthesis of:
• Technical Project Management (drive delivery, unblock execution, maintain momentum)
• Product Management (translate vision into velocity)
• Systems Coordination (align models, pipelines, infrastructure, and interface)
You’ll run agile cycles, bridge concept to execution, and keep clarity across every moving layer.
Responsibilities
Product Strategy & Ownership
• Convert vision into specs, flows, and deliverables
• Prioritize with precision—what ships now, what iterates later
• Own the roadmap cadence from prototype to production
Project & Technical Execution
• Lead sprints, standups, retros, and pivots
• Track what matters: speed, quality, alignment
• Remove blockers before they stall momentum
System Coordination & Documentation
• Maintain crisp documentation across architecture, logic, and flow
• Sync model output, data behavior, and user pathways
• Own Jira, Linear, Notion—whatever keeps the machine clean
Trust Infrastructure Leadership
• Understand how raw signals become reliable decisions
• Ensure enforcement logic is sharp, causal, and resilient
• Translate signal anomalies into code, product, or architecture fixes
You’ll Succeed If You Have:
• 5+ years in hybrid product/project roles within ML Ops, data platforms, or systems engineering
• Experience shipping 0→1 systems in ambiguous, high-velocity environments
• Clarity of thought, speed of execution, and structural range
• Fluency across data pipelines, model layers, APIs, and UX integration
Bonus Points:
• Background in ML, statistics, or distributed computing
• Built or managed systems with trust scoring, traceability, or anomaly detection
• Early-stage team builder who can scale fast, clean, and lean
Remote-first. Preference for Texas and Florida.
Next Step
If you lead best under pressure, think in systems, and ship with urgency—this is your shot. Apply to co-lead the product that protects every downstream decision.