5 months ago
Base Salary
$135k - $280k/yr
Responsibilities
- Build and evolve scalable application infrastructure for enterprise-scale reliability and efficiency.
- Develop integrations and connectors that ingest data from customer systems into the Assembled ecosystem.
- Create modern data foundations that transform raw product and integration data into reliable, queryable datasets.
- Support both low-latency operational workflows and large-scale analytical workloads.
- Improve observability, security, reliability, performance, and cost efficiency across platform systems.
- Build systems that power Assembled’s workforce management products and AI agents.
Requirements
- At least 5 years of engineering experience involving backend, platform, or infrastructure systems.
- Familiarity with one or more parts of the stack, including AWS, Kubernetes, Karpenter, Postgres, PgBouncer, Snowflake, Redis, Go, and Python.
- Interest in foundational platform problems spanning infrastructure, data platforms, and integrations.
- Ability to navigate ambiguity, define system boundaries and abstractions, and evaluate tradeoffs.
- Strong focus on reliability, maintainability, performance, and empowering other engineers.
- Ability to collaborate cross-functionally and connect platform work to product and business impact.
About Assembled
Assembled builds an AI-driven customer support and workforce management platform for companies running large-scale support operations. Its SaaS unifies AI agents, agent assist, and forecasting/scheduling to resolve inquiries and optimize staffing across in-house teams and BPOs. Founded in 2018 and headquartered in San Francisco, the privately held company is used by organizations such as Etsy, Robinhood, Stripe, and Canva to manage chat, email, and phone support.