Staff Software Engineer - Backend/AI (Remote)
Rula$184,100 - $216,600/year
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Artificial IntelligenceIndustries
Requirements
Candidates should possess 8+ years of software engineering experience with a focus on platform, backend, data infrastructure, or distributed computing at large scale, demonstrating expertise in building and deploying systems at scale. Strong experience with modern LLMs and AI tech stacks is required, along with a foundational understanding of AI algorithms.
Responsibilities
As a Staff Backend Engineer (AI) at Sprig, you will be responsible for designing, building, and maintaining the critical backend AI systems powering Sprig’s core features, specifically focusing on analyzing user session replays and distilling key information at scale. You will orchestrate backend data stores, services, and pipelines, contribute to product roadmap discussions, and collaborate with product managers, designers, and other functions to develop a world-class product experience platform.
Skills
Backend
AI
LLMs
Data Infrastructure
Distributed Computing
Software Engineering
Backend Systems
Data Stores
Data Pipelines
AI Algorithms
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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