About Strada
Strada is building the agentic workforce for insurance operations.
Our platform deploys expert AI agents across calls, texts, emails, and chat – running core front-office workflows from policy servicing to claims intake. With a singular focus on insurance, Strada offers domain expertise and product depth that generic AI platforms can't match.
Backed by Y Combinator and top-tier investors, Strada already automates millions of customer interactions for leading insurers, MGAs, and wholesalers representing $10B+ in annual premiums. We are embedded in production systems at sophisticated organizations – not running pilots, but driving real operations.
It is now certain that AI in insurance operations will become a multi-billion dollar category. The question is not if, but who wins. We are already ahead in deploying AI at scale and intend to define that category.
If you want to operate at the intersection of AI, enterprise software, and real-world execution – and be part of a company that is winning – let’s talk.
Why Insurance?
Insurance is a $300B+ industry that quietly powers the global economy – enabling businesses to operate, families to recover from disasters, and entire sectors to manage risk.
Yet its core operations remain largely unchanged. Many critical workflows still rely on manual processes, phone calls, and fragmented legacy systems.
That is now changing. AI is beginning to automate these workflows end-to-end – not as a layer of assistance, but as the system of execution. This shift will redefine how insurance operates and unlock billions in efficiency gains.
Strada is building that infrastructure.
The Role
We’re looking for an AI Deployment Lead to own how Strada’s AI agents go live and scale within enterprise insurance organizations.
You will sit at the intersection of client operations, AI capabilities, and product execution – acting as the primary interface between our customers and our product.
This is not a traditional consulting role. You won’t be delivering recommendations and stepping away. You will own outcomes end-to-end: from understanding the problem, to deploying the solution, to ensuring it works in production.
You will:
Work directly with senior client stakeholders (COOs, CIOs, Heads of Operations)
Translate complex, messy workflows into deployable AI systems
Drive decisions under constraint and align multiple stakeholders
Be accountable for real-world performance, not just delivery
This role is particularly well-suited to candidates from top consulting backgrounds who want to move from advising to owning outcomes.
You will work directly with the founding team, including the CTO, and operate with a high degree of autonomy and responsibility from day one.
What you'll get done in the first week
Shadow live deployments and review real AI agent conversations across thousands of workflows
Get deep into the product – understand how agents are configured, deployed, and monitored
Identify where you can have immediate impact on active client engagements
What you'll do in your first 30 days
Own your first deployment end-to-end – from scoping to go-live
Run structured sessions with client teams to map workflows and define success
Build a strong understanding of the operational realities of insurance systems
What you'll do in your first 90 days
Lead multiple deployments concurrently across enterprise clients
Navigate tradeoffs across timelines, engineering capacity, and client expectations
Become a trusted counterpart to senior stakeholders on how to scale AI in their operations
Surface patterns from deployments that shape product direction and company strategy
What You'll Need
4–7 years of experience in management consulting, product, or a high-performance client-facing role
Proven ability to own complex, multi-stakeholder problems end-to-end
Strong structured thinking – you break ambiguity into clear decisions and drive alignment
Excellent communication skills – you can run a room with senior stakeholders (COOs, CIOs, Heads of Operations) and drive decisions forward
High ownership mindset – you take responsibility for outcomes, not just recommendations
Comfort with technical systems – you don’t need to code, but you understand how systems behave and how to work with engineers
Nice to Have
Exposure to AI, automation, or enterprise software
Experience in insurance, fintech, or other operationally complex industries
What We Offer
Competitive salary and meaningful equity
Employee-friendly equity terms
MacBook Pro, 4K display, and full setup
Health, dental, and vision insurance
Team events and off-sites
This position is based in New York City.
What We Do
Carriers, MGAs, and brokers scale revenue-driving phone calls with Strada's AI phone assistants. From lead qualification to policy updates and FNOL, Strada’s humanlike agents handle complex calls with speed and percision. Purpose-built for insurance and quick to deploy, Strada turns every conversation into an opportunity to drive revenue and deepen relationships.
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