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Looking for Product Consultant (Autonomous Systems) (Hybrid) (Full Time)

Agile Enterprise Solutions, Inc.Mountain View, CA🇺🇸United StatesPosted 9 Sept 2026

Why This Role Stands Out

This hybrid Product Consultant role offers an exciting opportunity to shape the future of autonomous systems by translating complex technical requirements into scalable solutions. If you are a strategic thinker with expertise in ML and enjoy collaborating closely with client engineering teams, you will thrive in this position that emphasizes thought leadership and co-engineering. Apply now to join a forward-thinking team and make a significant impact in a rapidly evolving industry.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Mountain View, CA, United States
Posted
1 week ago
RoboticsAgileData PipelineAutonomous DrivingLLMStakeholder ManagementTriage

Job Description

Job Title : Product Consultant (Autonomous Systems)

Location : Mountain View / San Jose, CA (Hybrid)

Duration : Full Time

Job Description :

Roles and Responsibilities:

Wipro is seeking a high-caliber Principal Product Consultant to bridge client engineering (Autonomous Driving Software, Foundation Models, Behavior/Planning) and Wipro's global operations delivery teams. In this strategic role, you will be embedded directly with client engineering teams in Silicon Valley to translate complex non-perception requirements (e.g., End-to-End Foundation Models, EMMA architectures, open/closed-set behavior categorization, and VLM captioning) into scalable operational systems.

You will act as a thought leader, drastically reducing client Program Manager bandwidth, driving quality/productivity architectures, and co-engineering operational workflows alongside your counterpart in India.

Key Responsibilities

  • Strategic Client Alignment & Thought Partnership: Serve as the primary technical product interface to client Engineering (Autonomous Systems, ML Evaluation, Behavior/Planning). Move Wipro's positioning from an operational vendor to a co-engineering strategic partner.
  • Non-Perception & ML Workflow Architecture: Deconstruct complex, high-ambiguity client ML requests (EFMs, EMMA, open-set behavior tagging, trajectory prediction, VLM scene captioning) into standardized edge-case taxonomies, tooling specs, and evaluation pipelines.
  • Client PgM Bandwidth Offloading: Direct ownership of requirement gathering, technical policy writing, edge-case resolution, and triage drastically reducing the client PgM's coordination overhead.
  • Global Operations Enabling: Work synchronously with the Senior Product Consultant (India) to translate client engineering intent into operational playbooks, automated validation checks, and frontline training modules.
  • Continuous Process & Tooling Optimization: Analyze quality and throughput metrics to recommend tooling upgrades, automated pre-labeling features, and optimized annotation/eval workflows directly to client tooling teams.

Qualifications & Skills

  • Experience: 10 15+ years in Autonomous Vehicles, Robotics, or Advanced AI/ML Systems, with at least 5+ years in Product Management, Technical Program Management, or Solutions Architecture focused on AV Data/Perception/Behavior.
  • Domain Expertise: Deep hands-on knowledge of Non-Perception AV workflows: Behavior/Planning labeling, Foundation Models (EFM/EMMA), Open/Closed-Set taxonomy design, RLHF/Human-in-the-Loop ML evaluation, and VLM/LLM captioning pipelines.
  • Technical Depth: Familiarity with ML Evaluation frameworks, edge-case triage, AV perception-fused streams (Lidar/Camera/Radar), and data pipeline architectures.
  • Stakeholder Management: Proven track record of working directly with Principal/Staff AV Engineers and Technical PgMs at top autonomous driving companies.
  • Education: B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, or related technical field (MBA preferred).

Thanks & Regards

Bhavanesh Eamani

Lead Technical Recruiter

PH :

Agile Enterprise Solutions Inc.

2591 Dallas Parkway Suite 300 Frisco, TX 75034

Email: Website:

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