Note: The job is a remote job and is open to candidates in USA. Recruiting from Scratch is recruiting for an unnamed company building a data activation platform. The Senior Software Engineer will build and evolve backend systems for Customer Studio, focusing on warehouse performance, audience syncing, analytics, experimentation, and AI-powered workflows.

Responsibilities

• Design, build, and maintain backend systems for a no-code product that enables customers to activate warehouse data without needing to write SQL
• Develop features that help users create audience segments, decide which data to sync, and activate data across downstream platforms
• Own projects from initial problem definition through architecture, implementation, deployment, and ongoing improvement
• Work closely with product and other engineering teams to turn customer needs into reliable, scalable solutions
• Improve the speed, performance, and interactivity of warehouse-powered products
• Investigate and implement query optimizations, precomputed state, and other performance improvements
• Explore warehouse-specific optimizations to improve customer workflows
• Design systems that remain maintainable and reliable as customer data volumes and usage grow
• Develop systems that help customers understand and evaluate audience segments
• Build features that support experimentation with downstream tools
• Enable customers to track the performance of different audiences and use data to make better decisions
• Help shape the architecture behind analytics and experimentation workflows
• Explore ways to make data syncing faster and keep customer data fresher
• Work on real-time audience computation and syncing as data warehouses increasingly adopt change data capture (CDC) and other real-time technologies
• Build reliable backend systems that support low-latency, high-throughput data processing
• Contribute to making data activation workflows more seamless through generative AI
• Identify opportunities to improve user experiences and reduce friction in working with data
• Build practical AI-powered capabilities that solve real customer problems
• Make thoughtful architectural decisions across backend systems and distributed services
• Consider scalability, maintainability, reliability, and simplicity when designing solutions
• Build and evolve core systems rather than relying solely on off-the-shelf components
• Take responsibility for the long-term quality and extensibility of the systems you develop
• Engage with product specifications and contribute to defining solutions before implementation begins
• Bring strong customer and product thinking to technical decisions
• Work directly with customers on difficult scaling problems when needed
• Communicate clearly across engineering and product teams, and take ownership of outcomes rather than only completing assigned tasks

Skills

• Senior-level software engineer with strong backend engineering fundamentals
• Demonstrated experience building and evolving production backend systems
• Experience with distributed systems, system architecture, scalability, maintainability, and reliability
• Evidence of owning complex projects from design through implementation and production
• Strong product mindset, including the ability to understand customer needs and make sound technical trade-offs
• Comfortable engaging with product specifications and contributing to problem definition
• Strong backend engineering and distributed systems experience
• Ability to design scalable, reliable, maintainable, and extensible software
• Experience reasoning about data-intensive systems and performance challenges
• Strong architectural judgment and ability to solve complex technical problems from first principles
• Experience building systems that serve customer-facing product workflows
• Ability to work on systems involving data warehouses, audience computation, syncing, or real-time data processing
• Understands how technical decisions affect customer outcomes and product usability
• Can translate ambiguous customer problems into practical technical solutions
• Comfortable discussing product specifications and helping shape the solution
• Balances technical quality with speed, simplicity, and business impact
• Takes ownership of outcomes rather than focusing only on implementation details
• Can lead projects independently from problem definition through delivery
• Makes thoughtful decisions about architecture, reliability, and future maintainability
• Proactively identifies performance bottlenecks and opportunities for improvement
• Works effectively in a fast-moving environment with substantial autonomy
• Shows persistence and intellectual curiosity when solving difficult problems
• Strong written and verbal communication
• Comfortable collaborating with product and engineering partners
• Able to explain technical trade-offs clearly
• Works with compassion and kindness while maintaining a high engineering bar
• Demonstrates a growth mindset and responds constructively to feedback
• Experience with data warehouses and warehouse query optimization
• Experience with Reverse ETL, customer data platforms, data activation, or marketing technology
• Experience with real-time data processing, change data capture (CDC), and audience syncing
• Experience with analytics, experimentation, or audience segmentation
• Experience with low-latency APIs, caching layers, or high-throughput distributed systems
• Experience applying generative AI to customer-facing product workflows
• Experience building infrastructure or core backend systems from scratch

Benefits

• Meaningful equity compensation through ISO options, with early exercise and a 10-year post-termination exercise window.
• Remote-first working arrangements, with remote, hybrid, and office-based options.
• Office access in San Francisco, New York City, and North Carolina.
• High ownership and autonomy.
• Opportunities for career growth in a rapidly expanding company.

Company Overview