Engineering Manager, Agentic Data Platform; Tapestry
Listed on 2026-05-02
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Software Development
Data Engineer, Software Engineer
Location: New York
Software Engineering New York, NY
About TapestryTapestry 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.
We are looking for a technical heavyweight to serve as a founding pillar of Tapestry’s new NYC Engineering Hub. As the Engineering Manager for the Data Platform team, you will lead the evolution of our Agentic Data Platform—the engine that transforms raw grid data, drone imagery, and street-level perception into a high fidelity digital replica of the world’s electricity networks. You will lead teams through ambiguous charters, ensuring our data infrastructure isn't just a repository, but an active, intelligent participant in solving grid complexity.
Howyou will make 10X Impact
- Architect Autonomous Systems: Lead the design of an "agentic" platform that automates LLM based data discovery, metadata enrichment, and governance, spanning the breadth of Tapestry’s multimodal data stack.
- Take models from prototype to production: Partner with the Machine Learning team to bridge the gap between core algorithms and scalable systems, ensuring seamless integration of cutting‑edge models into the agentic platform to maximize 10x output.
- Code-Level Leadership: Remain "dangerously" technical. Own high‑stakes design reviews, mentor senior ICs, and ensure our production deployments meet Google‑scale reliability standards.
- Build the Hub: As a site anchor in NYC, play a critical role in hiring, mentoring, and establishing the engineering culture for a rapidly growing team.
- Experience: 8+ years in data engineering, backend infrastructure, or distributed systems, with at least 2+ years in formal people management or high‑impact tech‑lead roles.
- Architectural Depth: Proven track record of building scalable platforms that handle multimodal data (structured grid data + unstructured imagery/spatial data).
- Operational Excellence: Deep understanding of data governance, multi‑tenancy, and "data-as-a-product" philosophies in a production environment.
- Communication: Ability to translate high‑level "moonshot" ambiguity into concrete technical roadmaps for your team and stakeholders.
- PhD in Computer Science or a related quantitative field.
- Prior experience in a "zero‑to‑one" environment or building out a new geographic engineering site.
- Experience building LLM‑orchestrated data pipelines or autonomous agent frameworks.
- Background in geospatial data or physical system modeling.
- A passion for using data 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: Collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine‑tune: Stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: Listen openly, value different perspectives, and stay focused on what matters most.
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
- 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 +…
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