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# Robotics AI Strategy Program Lead

- **Company:** TEKSYSTEMS INC.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $156,000.0 - $208,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, JIRA, Information Engineering, Data Infrastructure, Decision Support Systems, Python (Programming Language), Machine Learning, Software Product Management, Power BI, SQL Databases, Data Logging, Prompt Engineering, Generative AI, Agentic-AI, Information Technology, Production Code, Data Analytics, Data Management, Looker Analytics, Powerapps, Databricks, Programming Languages
- **Published:** October 20, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/mountain-view/56c4f771-87d2-43c8-8aca-dc06ddb07a5f

## About the Role

Bachelors or higher degree in Computer Science, Electrical Engineering, Mechanical

Engineering, or a closely related technical field.

4+ years of experience in one or more of:

o Management consulting or corporate strategy

o Product management or technical program management

o Data science or data analytics

Meaningful experience in AI, ML, or robotics (e.g., robotics AI, applied ML, computer vision,

intelligent automation, or similar), ideally at the intersection of AI and robotics.

Demonstrated ability to lead large, complex cross-functional programs with high ambiguity and

multiple parallel workstreams.

Strong strategic thinking and storytelling skills: can frame problems, structure options, and

communicate clearly to both technical and non-technical audiences.

Comfort operating as a hands-on analyst and builder, including:

o Writing SQL and using Python or R for analysis

o Building dashboards in tools like Looker or Power BI

o Working in Databricks and similar data platforms

Demonstrated fluency with GenAI tools (e.g., prompt engineering, using copilots/assistants in

daily workflows) and a track record of designing or orchestrating AI-assisted workflows or

agents.

Experience with modern collaboration and delivery tooling such as Jira and low/no-code

application platforms (e.g., Power Apps, AppSheet).

Ability to modulate communication style: comfortable diving into technical details with AI

researchers and roboticists, and equally comfortable presenting synthesized insights to senior,

non-technical executives.

Proven cross-functional collaboration and influence skills; known as a team player who

creates clarity and momentum rather than just tracking tasks.

Demonstrated experience working directly with technical teams (AI researchers, AI engineers,

roboticists, data engineers), understanding their work well enough to track progress, surface

risks, and offer hands-on support

Additional Skills & Qualifications

Prior work in robotics, robotics AI, or physical AI systems, especially in manufacturing,

industrial, or logistics environments.

Experience operating at the intersection of research and production, helping teams balance

exploration with delivery.

Background in data-driven decision-making, experimentation, and KPI design in complex

technical domains.

Experience defining and instrumenting metrics for AI or robotics systems (e.g., reliability,

coverage, cycle time, throughput, data quality).

Comfort with storyboarding and narrative designyou naturally think in terms of whats the

story? and how to land it in a deck or memo.

Track record of rapidly learning new technical domains and tools and helping teams adopt

them effectively.

Experience driving programs through enterprise processes (e.g., security reviews, procurement,

vendor onboarding) and removing organizational blockers to keep technical teams moving., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Finance
Tooling
Research
Power BI
Robotics
Refining
Equities
AppSheet
Dashboard
Telemetry
AI Agents
Operations
Leadership
Purchasing
Databricks
Reliability
Procurement
Prototyping
AI Research
Data Quality
Data Science
Communication
Data Analysis
Presentations
Storyboarding
Data Collection
Computer Vision
Production Code
Computer Science
Machine Learning
Looker Analytics
Data Engineering
Influencing Skills
Program Management
Product Management
Business Valuation
Strategic Thinking
Prompt Engineering
Workflow Management
Data Infrastructure
Cycle Time Variation
Management Consulting
Packaging And Labeling
Full Stack Development
Electrical Engineering
Artificial Intelligence
Business Transformation
Decision Support Systems
Manufacturing Engineering
Go (Programming Language)
SQL (Programming Language)
Data-Driven Decision Making
Python (Programming Language)
Cross-Functional Collaboration
Milestones (Project Management)
Artificial Intelligence Strategy
Key Performance Indicators (KPIs)
Generative Artificial Intelligence
Machine Learning Product Management
Artificial Intelligence Infrastructure
Artificial Intelligence Product Management, My client is building one of the most ambitious AI and robotics programs in manufacturing,

developing systems capable of autonomously manipulating thousands of parts across their global plant

network. Our Robotics AI organization sits at the intersection of AI research, robotics, manufacturing

engineering, and AI product management, driving both cutting-edge technology and real factory

impact.

We are looking for a Robotics AI Strategy & Program Lead who can own end-to-end, cross-functional

initiatives that cut across AI research, robotics engineering, data infrastructure, and manufacturing

operations. They will be known as an operator who gets things done across complex organizations.

This role blends strategy, program management, analytics, and hands-on AI tools work: you will

structure the problems, build the dashboards, dive into the data, leverage and build AI agents, and drive

large programs to completion while unblocking teams across IT, Purchasing, Vendors, Finance, HR, and

Manufacturing.

You will be embedded with AI researchers, roboticists, AI engineers, data engineers, and AI product

managers, translating between technical and non-technical stakeholders and ensuring that what we

build is strategic, measurable, and shippable - from fast-turnaround experiments to multi-year platform

bets.

What you will own

Program and project leadership

Own end-to-end cross-functional projects from problem framing and strategy through

execution, measurement, and iteration.

Program manage large, multi-team initiatives (e.g., new robotics AI capabilities, data/telemetry

programs, analytics or tool rollouts) with clear milestones, owners, and success metrics.

Build and maintain program roadmaps, dependency maps, and risk registers; proactively identify

and resolve blockers across teams.

Drive operating rhythms (standups, reviews, steering forums) with AI Research, AI Engineering,

Robotics Engineering, Manufacturing Engineering, and AI Product Management.

Roll up your sleeves to push work through organizational and process complexitycoordinating

with IT, Purchasing, Vendors, Finance, HR, and other partners to keep programs moving.

Comfortably manage multiple initiatives at once, switching contexts between short-turnaround

deliverables and long-horizon programs without dropping details

Strategy, storytelling, and decision support

Partner with leadership to define and refine Robotics AI strategy, including problem selection,

sequencing of bets, and success metrics.

Structure clear narratives and storyboards that connect technical work to GM-level business

outcomes and manufacturing KPIs.

Prepare executive-ready presentations and decision docs (SVP and above), highlighting what

has changed, what is at risk, and what decisions are needed.

Translate complex technical options into simple, structured trade-off frameworks for senior

decision-makers.

Data, analytics, and tooling

Go deep on data: define questions, shape logging/telemetry requirements, pull and analyze data

using SQL, Python, or R, and translate findings into actionable insights.

Build and maintain dashboards (e.g., Looker, Power BI) that track program KPIs, model and

system performance, factory deployment health, and operational metrics.

Partner with Data Engineering and platform teams to leverage Databricks and other

infrastructure for analytics and reporting.

Design and orchestrate GenAI-powered workflows and agents to automate repetitive analysis,

reporting, and operational tasks where appropriate.

Continuously learn and adopt new AI, data, dashboarding, and tracking tools, and help the

broader team do the same

AI, robotics, and technical collaboration

Act as a fluent technical partner to AI researchers, robotics engineers, and data engineersyou

dont need to write production code or models, but you do need to understand what makes them

hard.

Help ensure that data collection, labeling, evaluation, and deployment workstreams are

aligned with program goals and success metrics.

Collaborate closely with AI product managers to connect user needs, technical capabilities