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