Key Skills

Job Description

Every role at Polymodal is dual: founding platform builder first, with a data pipelines, governed records, and model-ready signal edge that shapes the platform. As agents take on more execution, the business needs trusted memory: every captured action flows through one pipeline and becomes the record that humans trust, products query, and our own models learn from. You own that pipeline end to end while it is still early, and this is a charter, not a ticket queue. Stack: Rust/Python/TypeScript, high-volume event streams, a BigQuery-class warehouse with SQL-defined transformations, Cloudflare and Google Cloud, versioned data contracts, governance. Yours to shape the way forward. What you'll own Push from logs to living signal: make messy and constantly changing event streams queryable, governable, and model-ready. Own the capture contracts: versioned schemas that evolve without breaking a downstream consumer. Run landing, normalization, and the enrichment lanes that add meaning to raw events: batch and real time, idempotent and replayable, correct as volume grows. Keep the warehouse honest: cost, speed, correctness, and the identity-scoped access everything queries through. Build the trust layer: quality, lineage, and observability, so anyone can find a record and know exactly where it came from. Make the pipeline safe to open up: PII classification, masking, retention, and access control, so new entry points for agents never lower the privacy bar. About you You care about data that is useful, trusted, permissioned, and fast enough to matter. You think in flows, contracts, and failure modes, not in tables. You set technical direction for a team while executing within it. Must-haves You use AI as part of your own data and engineering loop, not as a side tool. 10+ years building production data systems at a low level, not just writing jobs on top, with principal-level ownership of at least one. Strong in Python/Rust and a polyglot backend; deep in high-volume ingestion and streaming. Owned quality, reliability, and observability end to end, including the SLOs you defined and operated. Nice-to-haves Have shaped a data function from first hire onward. Notable GitHub work or hard side projects. About Polymodal Polymodal is a funded pre-seed company building the operating layer for agent-executed organizations. We closed our pre-seed in May 2026, backed by Lunar Ventures, Wind Capital, Volve Capital, and early-stage angels. We are early enough for every hire to shape the company, and real enough that the work must survive customers, scale, security, and trust. Co-founders & team You'll build directly with Joep (3x founder, cybersecurity), Sean (former CISO at Slack/Reddit/Bumble), Edo (2x founder in AR/XR and multi-agent systems), and Atul (founder, cybersecurity). We are future-facing, execution-focused, daring, and human. Our offer Competitive salary and meaningful early equity, so you share real ownership. A chance to define a new category while product, architecture, and company are still malleable.

Core Responsibilities

Build and own end-to-end data pipelines that capture, normalize, enrich, and make high-volume event streams queryable, governed, and ready for models. Establish versioned data contracts, warehouse performance and access controls, and the quality, lineage, observability, and privacy safeguards that make records trustworthy.

Requirements

Requires 10+ years building production data systems at a low level, including principal-level ownership of at least one system, strong Python or Rust skills, polyglot backend experience, and deep expertise in high-volume ingestion and streaming. Candidates must have owned quality, reliability, observability, and operational SLOs end to end, and use AI in their engineering workflow.

Benefits

• Competitive Salary
• Early Equity