San Francisco, California, United States · Hybrid
$240k–$295k/yr
Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss o…
Skills: Agentic systems, Evaluation frameworks, Model Context Protocol, Production engineering, System architecture
San Francisco, California, United States · Hybrid
$150k–$200k/yr
About Column For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they re…
Skills: Audit lifecycle, Risk assessment, Information security, Cybersecurity, Cloud infrastructure
San Francisco, California, United States · On-site
Demand Generation Lead About Bland AI We’re a Series C startup that has raised over $100M from Emergence Capital, Scale Venture Partners, Y Combinator, and the founders of PayPal and Twilio. Our mission is to build the w…
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Menlo Park, California, United States · On-site
$160k–$230k/yr
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just u…
Skills: Java, C++, Linux, Distributed systems, Multi-threading
Santa Monica, California, United States · Remote Solely
$82k–$152k/yr
Job Title:Sr. People Tech Analyst Requisition ID:R027864 Job Description: Job Title: Senior People Technology Analyst (Workday) - Remote Reporting To: Senior Manager, People Technology Department: Human Resources Locatio…
Skills: Workday HCM, Core HR processes, System configuration, Project management, Data analysis
Santa Monica, California, United States · Remote Solely
$82k–$152k/yr
Job Title:Sr. People Tech Analyst Requisition ID:R027864 Job Description: Job Title: Senior People Technology Analyst (Workday) - Remote Reporting To: Senior Manager, People Technology Department: Human Resources Locatio…
Skills: Workday HCM, Core HR processes, System configuration, Project management, Data analysis
San Jose, California, United States · On-site
$81k–$95k/yr
About Us YuJa, Inc. is a leading provider of cloud-based digital compliance and accessibility solutions for regulated sectors worldwide. Serving clients in higher education, K-12, government, and healthcare, YuJa enables…
Skills: SaaS sales, Pipeline management, Lead discovery, Sales demos, Negotiation
Irvine, California, United States · Remote OK
About Us We’re a global team with a mission to enable professional research online. Headquartered in Irvine, California, IntelliSurvey has spent over two decades evolving our market research platform to help clients unco…
Skills: Project management, Survey programming, Migration management, Decipher, Qualtrics
San Francisco, California, United States · Hybrid
$174k–$223k/yr
At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of …
Skills: Java, AWS, Spring, Spring Boot, Distributed Systems
VoltaPalo Alto, California, United States · Hybrid
$195k–$250k/yr
About The Role The Group Product Manager, Security and Confidential Computing, owns product strategy for the security and confidential computing capabilities across Volta's platform — the features that let customers trus…
Skills: Product strategy, Security, Confidential computing, Team leadership, Infrastructure security
VoltaPalo Alto, California, United States · Hybrid
$200k–$250k/yr
About The Role The Senior Project Manager, CTO Support, owns project management for initiatives run directly out of the CTO's office — strategic technical projects, executive-sponsored initiatives, and cross-company tech…
Skills: Project management, Strategic planning, Technical project management, Executive communication, Stakeholder management
VoltaPalo Alto, California, United States · Hybrid
$190k–$270k/yr
About The Role The Group Product Manager, Inference and Token Factory, owns product strategy for Volta's inference infrastructure — the systems that serve models efficiently at scale and turn compute into tokens, reliabl…
Skills: Product strategy, Inference infrastructure, AI/ML infrastructure, Model serving, Inference optimization
VoltaPalo Alto, California, United States · Hybrid
$170k–$230k/yr
About The Role The Technical Writer owns documentation across Volta's platform — turning complex infrastructure and APIs into clear, accurate content that customers and internal teams can actually use. You will work clos…
Skills: Technical writing, API documentation, Developer tools, Infrastructure documentation, Style guides
VoltaPalo Alto, California, United States · Hybrid
$200k–$240k/yr
About The Role The UX Researcher owns understanding how customers and internal users actually experience Volta's platform — surfacing the friction points, mental models, and unmet needs that shape a better product. Worki…
Skills: Qualitative research, Quantitative research, Usability testing, User insights, Product strategy
VoltaPalo Alto, California, United States · Hybrid
$240k–$365k/yr
About The Role The Director of Product Management owns product strategy and leadership across Volta's platform product organisation — setting direction across control plane, orchestration, user interfaces, inference, and…
Skills: Product strategy, Leadership, Roadmap development, Platform product management, Executive communication
VoltaPalo Alto, California, United States · Hybrid
$190k–$270k/yr
About The Role The Senior Product Manager, User Interfaces, owns the product experience for how customers and internal users interact with Volta's platform — dashboards, consoles, and APIs that make complex infrastructur…
Skills: Product management, Developer tools, Dashboards, Infrastructure UI, Product strategy
VoltaPalo Alto, California, United States · Hybrid
$195k–$250k/yr
About The Role The Group Product Manager, Orchestration, owns product strategy for how workloads get scheduled, placed, and orchestrated across Volta's GPU fleet — the layer that determines how efficiently compute gets u…
Skills: Product strategy, Workload orchestration, Scheduling, Resource allocation, Distributed systems
VoltaPalo Alto, California, United States · Hybrid
$185k–$250k/yr
About The Role The Senior Product Marketing Manager owns positioning, messaging, and go-to-market strategy for Volta's platform — translating complex infrastructure capabilities into a story that resonates with customers…
Skills: Product marketing, Go-to-market strategy, Positioning, Messaging, Storytelling
VoltaPalo Alto, California, United States · Hybrid
$195k–$250k/yr
About The Role The Group Program Manager, Technical Programs, owns the portfolio of technical programs across Volta — leading a team of program managers and giving company leadership a single, reliable view of how major …
Skills: Program management, Portfolio management, Team leadership, Governance, Reporting
VoltaPalo Alto, California, United States · Hybrid
$190k–$270k/yr
About The Role The Group Product Manager, Control Plane, owns the product strategy for the systems that manage and orchestrate Volta's compute, storage, and networking resources — the Kubernetes-native control layer that…
Skills: Product management, Kubernetes, Cloud infrastructure, Control plane, Platform engineering
San Francisco, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will design and maintain the core runtime, contracts, and evaluation framework that powers all agentic capabilities at Stand. This role involves building an opinionated platform for agent deployment and lifecycle management to enable rapid scaling of autonomous insurance operations.
Candidates must have proven experience shipping agentic systems into production and building tools for engineering teams. Proficiency in evaluation frameworks, Model Context Protocol (MCP), and authorization practices is required.
Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine, our Stand World Model.
We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.
Our leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies.
Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.
Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction.
We are building the self-driving insurer: a national carrier whose standard operating procedure is explicit, instrumented, and handed to agents one proven step at a time — so the book grows without the org.
That bet has a single point of failure, and this role owns it. The runtime, contracts, and eval framework that every agentic capability at Stand is built on. Not one agent. The framework that enabled the team to build and manage hundreds of them
Concretely, the harness is four things:
An eval framework and diagnostic center. Turning an existing data stream into an eval, or wiring up the right metric when one doesn't exist yet, should take an afternoon not a week. The eval framework should make building new ones delightful. The diagnostic center gives anyone, not just the builder, a high-level read on whether a skill is actually working.
A tooling center. Adding a new MCP capability, and making it permission-aware, should be easy to build and reuse. Deciding when someone's agent should be allowed to do X or Y isn't your call to make, it's your job to make it easy for an engineer to build that decision and codify it once, so the next builder doesn't start from scratch.
The agent deployed the pipeline. Whether an agent is ready to ship or needs to sit on the bench shouldn't be a gut call. You build the opinionated framework, and the checks every agent has to pass, that decides it.
The engineer/agent builder experience. A simple set of skills or agents that walk a builder through the whole process: which technology to reach for versus when to keep it simple, what deployment strategy a given agent needs. You make building on the harness delightful, not a scavenger hunt.
You'll work at the seam between the surface people use (Flow — one queue for every job, prospecting to claims), the operating map underneath it (Rails & Trails — the SOP as a live state machine where worn manual paths get paved into automation), and the shared platform services below that (the Substrate — data in, testing on real cases, metrics by default). You'll also partner closely with Applied Science, who are training their own models that this harness can leverage.
This is a builder-of-builders role. Your success is measured by what everyone else ships: how fast a domain engineer or a DRI can put a new agentic capability in front of an underwriter, and how confidently we can turn its autonomy up.
First 30 days: Define and implement the skill-and-eval contract, running end-to-end for one real vertical (e.g., underwriting referrals or inspection verification). Ensure decision capture is live from day one, providing transparent, actionable results to the underwriters.
First 3 months: Build an opinionated platform for agent deployment and lifecycle management, providing the entire engineering team with a unified, scalable way to ship new capabilities.
First year: Develop a high-throughput orchestration engine designed to manage agents and evaluations at scale. This includes coordinating complex, multi-agent workflows, managing dependencies, automating fleet-wide health monitoring, and ensuring consistent performance across the entire agentic ecosystem.
Proven experience shipping agentic systems into production environments where reliability is critical.
Demonstrated track record of building tools or frameworks for engineering teams.
Proficiency in designing and managing evaluation frameworks.
Hands-on experience building Model Context Protocol (MCP) implementations.
Experience managing prompts and skills in production environments.
Familiarity with authorization frameworks and best practices.
Comfort and experience in product discovery.
Experience in insurance or another regulated operational domain.
Learning from logged human decisions: Transform unstructured operator event data into preference datasets for fine-tuning and reward modeling.
Built internal tooling for agentic software development — sandboxed environments, fast worktrees, anonymized production data for testing, agents that verify their own changes.
Enough frontend range (React/Next.js) to prototype the queue surface a skill feeds, rather than handing off a swagger doc
Contributions to open-source agent frameworks, eval tooling, or MCP servers.
Experience partnering with an applied-science or research team and shipping their work into a product loop.
Your agentic experience is primarily conversational assistants or RAG chatbots.
You want a fully specified backlog. This role is defined by ambiguity for the first year.
You'd rather build one impressive agent than the boring, reliable substrate that lets fifteen people build theirs.
Compensation
The annual base salary range for full-time employees in this position is $240,000 to $295,000 + meaningful Equity Grant.
Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.
Above-market Health, Dental, and Vision coverage
Weekly lunch stipend
Flexible time off + holidays
401(k) plan
Commuter benefits
PAT & MAT Leave
Short-Term and Long-Term Disability
Monthly team gatherings
In-office perks
Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.
Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
We are committed to providing reasonable accommodations for qualified individuals. If you require assistance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are building a fundamentally different homeowners insurer. Using deterministic physics-AI models powered by modern tech infrastructure, we incentivize mitigation—giving homeowners science-based rationale to harden their properties against CAT risks.
Offices: 548 Market St, PMB 70879, San Francisco, California 94104, US
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