Weave Robotics, Inc. Logo

Weave Robotics, Inc.

Product Operations

Reposted 19 Days Ago
In-Office
San Francisco, CA, USA
120K-150K Annually
Mid level
In-Office
San Francisco, CA, USA
120K-150K Annually
Mid level
Own robot deployments from signed customer through go-live and ongoing operation. Coordinate site readiness, hardware, configuration, logistics, training, support, compliance, and internal dependencies. Serve as the primary post-sales customer contact, resolve operational issues, configure robot workflows, build scalable checklists and dashboards, establish data-collection environments, and translate field observations into product requirements and bug reports.
The summary above was generated by AI
Join Us, and Ship Robots

Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time to spend on what’s important.

We also believe robots are in a sense like any other product: to matter, they have to ship. Our robots are already operating in real homes and businesses, giving us the opportunity to rapidly improve from real-world experience. With a growing team, strong customer demand, and capital for expansion, we’re entering an exciting stage of growth—and we’re looking for people with exceptional talent and standards to help bring home robotics to millions of households.

The Role

Successful deployments define real robotics companies. Weave went from first design concept to paying customer shipment in 6 months and has since deployed robots across California in homes and (publicly traded) businesses. We’re looking for our first Product Operations hire to own internal and external deployment success, before, during, and after. In this role you’ll be customers’ first contact and work directly with manufacturing, engineering, data collections, field operations, and sales. You’ll be the glue between them all: owning many deployments at once, sweating every logistical detail, and doing whatever else is required to make sure every robot gets deployed successfully and used to its fullest.

Responsibilities
  • Own deployments: Drive deployments from signed customer through go-live and ongoing operation, coordinating site readiness, hardware availability, configuration, logistics, training, support, and internal dependencies. At any moment, you know what’s blocking each deployment and who needs to do what next.

  • Drive customer requirements: Understand customers’ real workflows, configure robot tasks around them, and coordinate the integrations and operational changes required to make the product useful in practice.

  • Be the point person: Own the customer relationship after handoff from Sales, responding quickly when something goes wrong and coordinating Field Operations, Engineering, Manufacturing, or whoever else is needed through resolution.

  • Clear the compliance path. Own site safety assessments for business customers including HARAs end to end, and work through building and site requirements, customer policy constraints, and whatever regulatory requirements apply, so nothing blocks go-live.

  • Build the operating system: Create the checklists, trackers, dashboards, escalation paths, and automations that let us manage an order of magnitude more deployments without an order of magnitude more overhead.

  • Inform the roadmap: See what breaks at new sites before anyone else and turn field observations into crisp bug reports, product requirements, and priorities for the teams that can fix them.

  • Build data-collection environments: Partner with Data Operations to set up and configure spaces for internal data collection, evaluations, and other operational deployments.

What You'll Bring
  • 3+ years in operations for a technical product, ideally hardware, and ideally at least once while going from 0 to 1.

  • Range: Comfortable demoing to a homeowner in the morning, negotiating a business deployment in the afternoon, and answering tickets and coordinating repairs in between.

  • Exceptional operational command: You can run many deployments and workstreams simultaneously without dropping details—maintaining clear owners, dependencies, deadlines, risks, and next actions while priorities change around you.

  • Clear, precise communication: You turn messy situations into concise status, decisions, and next steps, whether communicating with customers, engineers, operators, or executives.

  • Process instinct: You naturally turn repeated work into checklists, SOPs, dashboards, tooling, and automation—and you are prepared to justify any additional process you propose.

  • Technical fluency: Comfortable learning how a complex hardware/software product works, demonstrating it credibly, gathering useful diagnostics, and distinguishing a configuration or operational problem from something that needs engineering.

  • Bias toward action: When a deployment needs something outside your job description, you solve it. You’re comfortable operating with incomplete information and figuring out the path as you go.

Nice to Have
  • Robotics, IoT, or consumer-hardware experience on the support side.

  • Early-stage company experience owning a customer function from scratch.

  • Past founder experience: you know what it means to do whatever is required to ship.

  • Support automation experience: macros, triage rules, or LLM-assisted workflows you built.

Similar Jobs

3 Days Ago
Remote or Hybrid
US
160K-200K Annually
Expert/Leader
160K-200K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads product operations by enabling AI workflows, owning product tooling and infrastructure, governing integrations and access, managing vendors, standardizing product lifecycle processes, and building measurement systems. The role also stewards the product operating system, drives adoption and change management, facilitates cross-functional feedback mechanisms, and establishes metrics for operational effectiveness.
Top Skills: Ai AgentsAi AutomationsAi ConnectorsAi ToolsDashboardsJira Product DiscoveryPendoSalesforceSession ReplaySystem Integrations
7 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
126K-225K Annually
Senior level
126K-225K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own platform product operations across Billing, Org & Auth, and Security. Identify enterprise-readiness gaps, analyze structured and unstructured data, build internal data and AI tools, prioritize roadmap investments, and quantify ARR impact. Partner with Product, Engineering, Sales, and leadership to turn ambiguous problems into repeatable workflows, decision-ready recommendations, and measurable improvements in acquisition, expansion, and retention.
Top Skills: Ai-Assisted Development ToolsDashboardsData AnalyticsIotProduct Telemetry
16 Days Ago
Hybrid
San Francisco, CA, USA
251K-287K Annually
Mid level
251K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product strategy and operations for AI/ML platforms, enabling associates to build, train, deploy, and scale models and generative AI applications. Defines roadmaps, prioritization, operational frameworks, and strategic planning processes while advocating for data scientists and engineers. Manages teams, partners with Product, Engineering, TPM, and business functions, oversees concurrent programs, and applies analytics to product, marketing, and credit risk decisions.
Top Skills: Agentic AiAi/MlAutonomous Multi-Agent SystemsGenerative Ai

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account