Build and iterate on new AI-powered product concepts from prototype to production, using rapid feedback loops to validate and refine ideas.
Partner closely with Product and Design to shape problem definition, test hypotheses, and evolve solutions based on user and business impact.
Make pragmatic trade-offs between speed and scalability, knowing when to optimize for learning versus long-term durability.
Own architecture, and scale what works
Define and evolve architecture for emerging products, enabling a path from early experiments to reliable, scalable systems.
Lead technical discovery and implementation for ambiguous, high-impact initiatives that span multiple systems.
Establish patterns, frameworks, and guardrails that allow teams to move quickly without sacrificing quality.
Act as a technical force multiplier
Set a high bar for code quality, system design, and operational excellence while maintaining a bias toward action and delivery.
Unblock teams, navigate cross-team dependencies, and drive alignment in fast-moving, evolving problem spaces.
Identify technical risks early and shape the roadmap to support both near-term delivery and long-term sustainability, again with heavy influence from AI.
Lead and influence across teams
Mentor engineers and provide technical guidance across projects and teams.
Collaborate with Product, UX, and stakeholders to align on priorities, trade-offs, and outcomes.
Contribute to a culture of experimentation, learning, and continuous improvement.
Requirements
5+ years of experience in software engineering, with a track record of delivering complex systems or products from concept to production.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Strong experience with one or more of: TypeScript, Java/Kotlin, Go, or similar modern languages, along with relational databases such as Postgres and noSQL solutions like MongoDB.
Experience building and shipping AI-powered features, such as LLM integrations, copilots, or agent-based workflows, in customer-facing applications.
Familiarity with AI development platforms and tools such as OpenAI, Claude, Cursor, or similar.
Proven ability to operate in ambiguous environments and drive solutions from early-stage ideas to production systems.
Strong systems design skills, with the ability to balance rapid iteration and long-term scalability.
Experience influencing technical direction beyond your immediate team.
Excellent communication and collaboration skills, with the ability to navigate trade-offs and align stakeholders.
A proactive, product-minded approach with a passion for building and learning.
Experience with AWS or similar cloud platforms and modern SaaS architectures.
Tech Stack
AWS
Cloud
Java
Kotlin
MongoDB
NoSQL
Postgres
TypeScript
Go
Benefits
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package