Engineering Manager, Agentic ML; Tapestry

Software Engineering

Mountain View, CA (HQ)

Tapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.

We provide clarity by building advanced, AI‑enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.

Your team will be responsible for architecting, building and evaluating Tapestry’s core agentic workflows. This system will act as a central “hub” for Tapestry’s customers to interact with and reason across multiple sources of data, and impact all of Tapestry's product offerings.

You will work closely with platform and infrastructure teams to architect and deploy this framework.

• Architect the Future: Lead the research, development and deployment of the latest advances in generative AI and agentic design to solve the grid’s most pressing challenges and help build the electric grid of tomorrow.
• Code‑Level Leadership: Provide deep mentorship while staying hands‑on. You’ll guide architecture, own high‑stakes design reviews, and ensure production deployments are bulletproof, while working closely with other technical leads.
• Scale Without Friction: Partner with infra teams to build world‑class ML pipelines that turn raw energy and grid data into actionable grid intelligence at Google scale.
• Bridge Physics & AI: Collaborate with Power Systems experts to ensure our AI strategy is grounded in physical reality, delivering 10X impact for global utility partners.
• Cross‑Functional
  
  Collaboration:
  
  Collaborate closely with data scientists, software engineering teams and non‑technical stakeholders to evangelize machine learning advances across Tapestry and communicate to high‑level leadership.

• Bachelor’s or Master’s in Computer Science, Engineering or related quantitative field.
• 6+ years of deep experience in machine learning model development and deployment.
• Proven experience in a technical leadership or people‑management role, with a focus on guiding ML‑centric teams.
• Proficiency with deep learning frameworks such as Tensor Flow, PyTorch, or Jax/Flax.
• Experience with MLOps, model lifecycle management, and deploying models on enterprise platforms such as AWS, GCP or MS Azure.
• Excellent communication and collaboration skills, with the ability to translate complex ML concepts into understandable insights for diverse stakeholders.

• Ph.D. in Computer Science, Engineering or a related quantitative field.
• Experience in high‑growth or "zero‑to‑one" environments, navigating rapidly changing requirements.
• A track record of contributions to open‑source ML projects or publications in top‑tier conferences.
• A passion for using ML to create a future with reliable, affordable and clean energy for everyone.

• Take charge: We take initiative and own outcomes that move the mission forward.
• Transform with purpose: We build solutions that solve real problems and create meaningful impact.
• Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
• Always fine‑tune: We stay curious, seek feedback, and refine our understanding as we learn.
• Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

• Competitive salary and equity.
• Medical, dental, and vision coverage.
• Generous PTO and flexible hybrid work model.
• 401(k) with employer contribution.
• The ability to work on important real‑world problems within an Alphabet‑backed environment.

The US base salary range for this full‑time position is $201,000 – $265,000 plus bonus, equity, and benefits. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

At X, we don't just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal‑opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.