Profound is building the foundational agentic layer for modern companies. Our Workflow Runner is the execution backbone that turns complex AI work into reliable, composable workflows. You will shape the core primitives, execution, scheduling, state, and streaming, that power intelligent systems at scale. What you’ll do Build core workflow engine primitives used to orchestrate agents, tools, and dataflows Own the real-time control plane, including streaming events, reliable job orchestration, idempotency, and replay Ship high-leverage systems that turn prototypes into production-grade, scalable workflows Design and ship Rust-first backend services and clean APIs for creating, executing, and supervising graph or DAG workflows Build reliable job orchestration with multiple response modes, including blocking, streaming, and fire-and-forget, with durable state Strengthen tenant isolation, security, and access patterns across the platform Improve runtime behavior including scheduling, backpressure, timeouts, retries, and idempotency Evolve schemas and repositories and own migrations, indexing, and query performance Instrument with meaningful telemetry and raise the bar on testing and operational excellence Partner closely with product, frontend, and data teams to deliver high-impact features
Who you are Strong portfolio or GitHub showing backend or systems design depth Proficient in a modern systems language, with Rust as an ideal, and comfortable owning services end-to-end in production Solid with SQL and relational data modeling, with hands-on experience using PostgreSQL Experience with distributed systems patterns including messaging or streaming, retries, idempotency, and backpressure Familiar with caching and state systems such as Redis and real-time delivery using SSE or WebSockets Strong grasp of API authentication and authorization, multi-tenancy, and security best practices Pragmatic, collaborative, and product-minded, thriving in a fast, in-person environment Experience building or operating workflow engines, schedulers, or agent runtimes Experience with Postgres RLS and data governance at scale Practical exposure to containerization, CI or CD, and cloud environments Background integrating external AI or model providers and securing provider configurations Experience working with Rust 2024, PostgreSQL, Redis, Kafka or NATS, containers, modern CI or CD, and real-time streaming to clients Location This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total
compensation package is designed to be competitive and includes base salary, equity, and a full range of
benefits and
perks. Final
compensation will depend on factors such as your skills, experience,
qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full
compensation package and
benefits as you move through hiring.
Profound is the GenAI marketing intelligence platform that helps enterprise brands win in the age of AI-driven discovery.
We help enterprise brands understand and optimize how they show up across ChatGPT, Perplexity, and other AI platforms where hundreds of millions of consumers now discover products.
Our platform provides real-time visibility analytics, competitive intelligence, and actionable insights across the entire GenAI ecosystem - enabling marketing teams to turn AI-driven discovery into their competitive advantage.
Salary
$140,000 - $260,000
Location
New York, San Francisco
Total raised
$155.0M
Last stage
Series A
Investors
James Cadwallader
Co-founder, CEO
Dylan Babbs
Co-founder
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.