Engineering Manager, ML Agentic (Tapestry)

Software EngineeringMountain View, CA (HQ)

About Tapestry

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.

To keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that 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.

Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.

About the role

We are looking for an experienced manager who is comfortable with both hands-on machine learning architecture design as well as leadership syncs. You will lead an elite team of ML engineers and applied researchers developing the analytical core of Tapestry.

Your team will be responsible for architecting and building Tapestry’s core agentic framework. This framework 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 be expected to bring deep expertise in working with and deploying LLM’s and agentic frameworks at enterprise scale, paying particular attention to data governance and highly precise reasoning for the models being built.

Your team will own the end to end system, from researching and prototyping, model iteration at scale to production deployment.

How you will make 10X Impact

  • 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.

What you should have:

  • 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 TensorFlow, 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.

It’d be great if you also had:

  • PhD 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.

Our values

  • 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.

What we offer

A culture that supports growth, ownership, and meaningful impact, along with:

  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • 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 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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