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Senior Manager/Director, Corporate Strategy & Development – Physical AI/Robotics

Cadence

Senior Manager/Director, Corporate Strategy & Development – Physical AI/Robotics

Cadence

SAN JOSE

·

On-site

·

Full-time

·

1mo ago

Compensation

$144,200 - $267,800

Benefits & Perks

Comprehensive health, dental, and vision insurance

Professional development budget

Competitive salary and equity package

Parental leave

Generous paid time off and holidays

Healthcare

Learning

Equity

Parental Leave

Required Skills

Python

JavaScript

PostgreSQL

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Senior Manager/Director, Corporate Strategy & Development – Physical AI/Robotics Location: San Jose, CARole Summary
We’re seeking a corporate strategy leader who blends strategic acuity with hands‑on technical depth to accelerate our momentum in Physical AI and robotics. You will shape corporate growth strategies and spearhead inorganic initiatives—including M&A, direct investments, and LP commitments—while orchestrating cross‑functional execution with Product, R&D, Finance, Legal, and GTM. This is a high‑visibility role for a builder–strategist who loves diving into markets, technology stacks, and deal processes—then crafting executive‑ready narratives that inspire action.

Description:

  • Create and refine corporate growth strategies with a dedicated focus on Physical AI/robotics—market maps, product–market fit analyses, and executive storylines that turn insights into decisions.

  • Develop investment thesis on the Physical AI stack (robots, middleware, simulation, training, deployment) and quantify where and how Cadence can create differentiated value.

  • Build a high‑quality pipeline of direct investment targets and LP opportunities; run thesis‑driven sourcing and diligence, and prepare investment memos for leadership.

  • Partner with product and engineering to assess buy/build/partner options—including co‑development, strategic partnerships, minority investments, and acquisitions.

  • Lead end‑to‑end corporate development execution: source, evaluate, negotiate, and close transactions; partner with integration team to drive plans that realize strategic and financial value.

  • Establish mechanisms for fast‑turn competitive intelligence, annual market sizing/forecasting, and executive dashboards that inform capital allocation and portfolio bets.

  • Expected Impact in 6–12 Months

  • Stand up an operating cadence for executive reporting on the Physical AI landscape.

  • Deliver investment thesis on Physical AI/robotics for executive review.

  • Close 3-4 partnerships/investments/acquisitions.

  • Minimum Qualifications

  • BS in Engineering (minimum) and 6+ years of relevant experience spanning corporate strategy, corporate development, venture investing, or product/engineering roles in robotics.

  • Familiarity with the entire physical AI/robotics policy training and validation pipeline, including hands-on experience with modern simulation environments (e.g. Isaac Sim, Gazebo, Drake), deep understanding of physics-based simulation tools and engines (e.g. PhysX, Mu JoCo), and proficiency in development frameworks and middleware (e.g. ROS/ROS2).

  • Proven end‑to‑end M&A execution experience: sourcing, diligence, valuation/modeling, negotiation, close, and integration planning.

  • Investment acumen: skilled at building theses, conducting technical/market/product diligence, drafting memos, and recommending direct investments and LP commitments.

  • Executive communication: ability to distill complex technical and market insights into crisp narratives, visuals, and decision‑ready materials.

  • Preferred Qualifications

  • Advanced degree (MS, MBA) or equivalent; publications or demonstrated thought leadership in robotics/AI.

  • Familiarity with reinforcement learning, imitation learning, and sim‑to‑real transfer; practical exposure to datasets, synthetic data generation, and evaluation protocols.

  • Track record of cross‑functional leadership with Product, R&D, Finance, Legal, and GTM; comfort operating in ambiguous, fast‑moving environments.

  • Ways of Working

  • Builder–operator mindset: strategic rigor matched with willingness to get into the technical and financial details.

  • Data‑to‑narrative craftsmanship: turn analysis into compelling executive materials and operating mechanisms.

  • Bias for partnership: co‑create outcomes with engineering, product, and external innovators.

The annual salary range for California is $144,200 to $267,800. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

We’re doing work that matters. Help us solve what others can’t.

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About Cadence

Cadence

Cadence

Public

Cadence Design Systems provides electronic design automation (EDA) software, hardware, and IP for designing and verifying electronic systems and semiconductors.

5,001-10,000

Employees

San Jose

Headquarters

Reviews

3.3

7 reviews

Work Life Balance

2.0

Compensation

2.5

Culture

1.8

Career

2.0

Management

1.5

15%

Recommend to a Friend

Pros

Built strong client relationships

Useful for repetitive tasks

Employment opportunities

Cons

Poor management and micromanagement

Lack of career growth opportunities

Technical architecture and code quality issues

Salary Ranges

65 data points

Junior/L3

Junior/L3 · Data Analyst

1 reports

$91,103

total / year

Base

$85,276

Stock

-

Bonus

$5,827

$59,612

$139,984

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving