Senior Software Engineer, Product

About the role

You will architect and ship the core infrastructure that turns generative media concepts into reliable production workloads. This role owns the bridge between high-performance inference engines and intuitive user workflows, ensuring that complex media pipelines feel simple and coherent. You will take responsibility for the end-to-end experience of our model playgrounds, from API design through frontend interactivity and data visualization. Your work will directly shape how developers and enterprises discover, configure, and monitor AI media workloads at scale. You will collaborate closely with product and design to iterate quickly while maintaining a strong focus on robustness and long-term maintainability. Expect to solve nuanced problems in distributed systems, caching, and real-time updates as users interact with demanding media models. You will contribute to decisions that balance developer experience with operational efficiency across the platform.

Key facts

What you'll do

Design and implement backend services in TypeScript and Python that expose scalable endpoints for media generation, streaming, and status tracking.

Build and maintain integration layers connecting our infrastructure to third-party model providers, ensuring consistent error handling, timeouts, and retries.

Extend the model playground interface to support richer interactions, embedding media previews, parameter controls, and real-time feedback for users.

Collaborate with data teams to define observability schemas, logging formats, and metrics that surface performance and cost for media workloads.

Implement caching strategies and request queuing mechanisms that optimize GPU utilization and reduce latency for repeated or similar prompts.

Own reusable UI component libraries using modern frontend patterns, ensuring consistency across dashboards, settings panels, and workflow builders.

Work with product managers to translate ambiguous user needs into concrete feature specs, acceptance criteria, and incremental delivery plans.

Partner with SRE and infrastructure teams to diagnose production incidents, perform postmortems, and drive improvements in reliability and rollback procedures.

Evaluate and adopt tooling for database migrations, schema versioning, and query optimization focused on Postgres workloads tied to user sessions and media artifacts.

Champion secure integration patterns, managing secrets, rate limits, and access controls for multi-tenant deployments in a shared ecosystem.

Refine onboarding flows and documentation within the product interface, helping new teams understand how to configure and launch media pipelines successfully.

Investigate and prototype emerging media formats and model capabilities, validating them within our infrastructure before broader rollout.

Support operational runbooks, monitoring dashboards, and alerting systems that keep the platform responsive to traffic spikes and edge cases.

Engage with the community and internal stakeholders to gather feedback, surface pain points, and prioritize improvements to the developer experience.

Requirements

You must have 5+ years of full-stack engineering experience delivering reliable, scalable products in production environments.

You must demonstrate extensive experience writing maintainable, production-quality code in TypeScript, Python, and JavaScript across backend and frontend layers.

You must possess a deep understanding of relational databases, including PostgreSQL, schema design, and performance optimization techniques for analytical and transactional workloads.

You must be comfortable owning feature development from concept to launch, with an emphasis on reusable design systems and robust UI components.

You must have a strong grasp of REST and GraphQL APIs, authentication and authorization patterns, and secure handling of credentials in cloud environments.

You must be proficient in using version control, CI/CD pipelines, and modern development workflows to coordinate with distributed engineering teams.

You must be able to communicate clearly with both technical and non-technical stakeholders, translating product goals into engineering tasks and tradeoffs.

You must be willing to work from our downtown San Francisco office and adhere to local regulations and company policies related to work authorization and compensation transparency.

Nice to have

Experience building applications around generative media, AI inference platforms, or content creation workflows.

Familiarity with model serving stacks, streaming protocols, and GPU resource scheduling concepts.

Contributions to open source projects or public repositories that demonstrate production-grade full-stack code.

Practical notes

This role is based in downtown San Francisco and requires in-office presence.

Eligibility for this role is constrained by the requirements listed above, and all stated criteria must be met.

The location and engagement details imply availability during standard working hours as determined by team needs.