E n g i n e e r i n g M a n a g e r , A g e n t i c D a t a P l a t f o r mSoftware Engineering Mountain View, CA (HQ)
About the role 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.
How you 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. You will 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, you will play a critical role in hiring, mentoring, and establishing the engineering culture for a rapidly growing team.
What you should have: - 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: The ability to translate high-level "moonshot" ambiguity into concrete technical roadmaps for your team and stakeholders.
It'd be great if you also had: - 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.
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 $207,000 - $304,000 + 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.
