Staff Software Engineer - Backend/AI (Remote)
Rula$184,100 - $216,600/year
Full Time
Expert & Leadership (9+ years)
$180,000 – $260,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, SaaSIndustries
Requirements
- 5+ years of experience designing and maintaining scalable backend systems with a strong track record of delivering production-quality code
- Product-minded – Care deeply about usability and product outcomes, not just system correctness; think about how work enables better customer experiences
- Comfortable with TypeScript (primary language for most development)
- Familiarity with technologies like Node.js, Temporal, AWS, or PostgreSQL is a plus; Python experience welcome if ready to work primarily in TypeScript
- Systems-oriented – Skilled at designing distributed, event-driven, and data-intensive systems that are reliable and performant
- Applied AI integration experience
Responsibilities
- Deliver impactful systems end-to-end – Design, build, and ship backend features and distributed systems that power Sprig’s AI-driven insights, taking projects from concept to production with sound engineering practices
- Shape Sprig’s data and inference infrastructure – Design, operate, and evolve distributed workflows for large-scale data processing and AI inference
- Extend across the stack – While focus is backend, contribute where needed in the full stack, supporting product surfaces that bring AI analyses and insights to life
- Collaborate across teams and disciplines – Work closely with product managers, designers, and other teams to define and deliver product capabilities
- Contribute to technical direction – Participate in design discussions and planning, helping the team make thoughtful trade-offs between speed, quality, and long-term scalability
- Raise the bar on engineering excellence – Champion reliability, performance, and maintainability across the AI stack while growing with the team and helping strengthen engineering practices across Sprig
Skills
Backend
AI
Distributed Systems
Data Pipelines
Inference Workflows
Scalability
Integrations
Python
Java
Go
Kubernetes
AWS
Sprig
Product experience insights platform for companies
About Sprig
Sprig provides a platform for gathering user experience insights to help companies improve their products. It allows teams to collect both numerical and descriptive data about how users interact with their products, which aids in making informed decisions. The platform operates on a subscription basis, offering tools for analyzing user journeys, capturing feedback on designs, and utilizing AI to summarize behavior data and highlight important product insights. Sprig stands out from competitors by seamlessly integrating with other tools and providing advanced analytics that enable quick actions based on user feedback. The goal of Sprig is to empower businesses to enhance their products and prioritize customer experience.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$85.6MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Risks
Emerging competitors offer similar AI insights at lower costs, threatening market share.
Over-reliance on AI may overlook nuanced feedback needing human interpretation.
Economic downturns could reduce tech companies' spending on SaaS tools.
Differentiation
Sprig offers AI-driven insights for rapid and rich user feedback.
Seamless integration with popular tools enhances Sprig's usability and workflow.
Sprig's SaaS model provides continuous value and a steady revenue stream.
Upsides
Growing demand for remote usability testing expands Sprig's market reach.
AI-driven analytics align with industry trends for deeper product insights.
Rising importance of customer experience metrics boosts Sprig's tool value.
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