EngineeringOn-site

Software Engineer (New Grad)

Strada · On-site

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Last seen by MeritLog September 11, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Strada's Ashby job board and last checked it on September 11, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $110K - $140K
Location: San Francisco
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Strada

Strada has 5 live roles in MeritLog’s catalog across 2 job families, and 3 of them are in engineering. 4 of those listings publish a pay range, a disclosure rate of 80%.

Strada concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

Own a feature end-to-end - from scoping to shipping - that directly improves how our AI agents handle customer conversations
Optimize live systems handling real insurance workflows for major carriers
Start building intuition for the insurance domain and understand why this $1T+ industry is ripe for AI
Take ownership of a core product area and drive meaningful improvements independently
Contribute to launches that land in front of customers - not internal tools that sit on a shelf
Have a real seat at the table on product and technical decisions as employee #10 at a company that just went from $0 to $1M ARR in 9 months
Bachelor's degree in Computer Science, Engineering, or related field
Strong fundamentals in data structures, algorithms, and system design
Experience building software in internships, coursework, or personal projects
Comfort working across the stack – we use TypeScript, React, and Node.js
Thrive in fast-moving, high-ownership environments

What they're asking for

Experience with real-time systems, WebSockets, or telephonySkillPreferred
Familiarity with AI/LLM-based platforms or prompt engineeringSkillPreferred
Prior experience at an early-stage startupSkillPreferred
Contributions to open source projectsSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

About Strada Strada is building the operating layer for AI-driven insurance. 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 more than 1M customer interactions for leading insurers, MGAs, and brokers representing $20B+ in annual premiums. Adoption is accelerating across the industry. Insurance is one of the largest and most complex industries in the world, and modern AI has the potential to fundamentally reshape how it operates. Strada is replacing fragmented workflows with AI-native infrastructure that runs real operations at scale - at the intersection of AI, infrastructure, and highly regulated real-world systems. We're a small, high-ownership team based in San Francisco, already embedded in production systems at sophisticated insurance organizations. If you want to move fast, solve hard problems, and shape the future of a massive industry, let's meet. Why Insurance? Insurance quietly powers the global economy - it helps businesses stay open, families recover from disasters, and entire industries manage risk. But the way insurance operates hasn't changed in decades. Many frontline workflows still rely on phone calls and legacy systems. We're building AI that plugs into those workflows and makes them radically faster, smarter, and more efficient. It's a $300B+ market ripe for innovation. The Role We're looking for a Software Engineer to join as one of our earliest engineering hires. You'll work across the stack to build the core systems that power our AI agents – from real-time voice infrastructure to integrations with insurance platforms. This is a high-impact role where you'll ship production code from day one, learn fast, and grow alongside the company. What you'll get done in the first week - Ship your first PR to production (on the first day) - no months of onboarding, you're contributing from day one - Get hands-on with our voice AI stack and understand how we're automating thousands of insurance calls daily - Meet the team, shadow customer calls, and see exactly how your code impacts real users What you'll do in your first 30 days - Own a feature end-to-end - from scoping to shipping - that directly improves how our AI agents handle customer conversations - Optimize live systems handling real insurance workflows for major carriers - Start building intuition for the insurance domain and understand why this $1T+ industry is ripe for AI What you'll do in your first 90 days - Take ownership of a core product area and drive meaningful improvements independently - Contribute to launches that land in front of customers - not internal tools that sit on a shelf - Have a real seat at the table on product and technical decisions as employee #10 at a company that just went from $0 to $1M ARR in 9 months What You'll Need - Bachelor's degree in Computer Science, Engineering, or related field - Strong fundamentals in data structures, algorithms, and system design - Experience building software in internships, coursework, or personal projects - Comfort working across the stack – we use TypeScript, React, and Node.js - Thrive in fast-moving, high-ownership environments Nice to Have - Experience with real-time systems, WebSockets, or telephony - Familiarity with AI/LLM-based platforms or prompt engineering - Prior experience at an early-stage startup - Contributions to open source projects What We Offer - Competitive salary ($110K–$140K) & meaningful equity (0.1%–0.25%) - Employee-friendly equity terms (restricted stock) - Macbook Pro, 4K display and all the accessories - Health, dental & vision insurance - Regular team events & offsites - Daily team dinners provided (Mon–Fri) - Gym membership **IMPORTANT NOTE: This position is on-site at our San Francisco

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