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Multiplier Holdings is a VC-backed startup that acquires and scales professional services firms using AI and automation, operating in regulated verticals like tax and corporate accounting. The Knowledge Intelligence Pod (KIP) is a vertical product team that owns knowledge-heavy product experiences end-to-end, helping firms find information, extract facts, verify evidence, and answer client requests.
You will serve as a Staff Engineer in a hands-on technical leadership role spanning product engineering, systems architecture, applied AI, and correctness/reliability. You will write production code, design durable abstractions, set technical direction, mentor engineers, and maintain close contact with users to ensure the system genuinely makes professionals faster and more confident.
Key responsibilities include:
**Artifact-First Knowledge Platform**: Evolve the core data model across documents, emails, uploads, and new sources. Harden the workflow (ingest, extract, correct, approve, search). Extend APIs for extracted data, provenance, corrections, and approvals. Push abstractions so new firms onboard without bespoke work.
**Document Retrieval, Structuring, and Quality Control**: Own extractors, document analytics, and review surfaces in production. Deepen structured outputs with confidence signals, provenance, and correction paths. Expand observability including traces, prompt/model versions, failure modes, and regressions.
**Full-Stack Product Ownership**: Own review, correction, and answering surfaces professionals use. Partner with tax professionals and accountants to automate real workflows. Turn ambiguous problems into scoped bets and shipped systems.
**Technical Leadership**: Set technical direction as systems scale across firms and pods. Mentor engineers through design reviews, pairing, and hardening. Raise the bar on testing, evals, observability, and security. Partner with the Pod Lead to own the roadmap.
This is not a research-only AI role, prompt-engineering-only role, internal platform role, or pure people-management role. The focus is shipping reliable systems into real workflows where correctness is non-negotiable.
**Requirements:**
- 8+ years building software, including Staff-level technical leadership on complex systems
- Product-minded and close to users; judge success by whether professionals work faster and trust output
- Strong across the stack: comfortable moving between backend systems, APIs, data models, review UIs, and production debugging
- Ideally experienced with applied AI and/or financial systems and data; deep experience with LLMs, retrieval, extraction, agents, or financial/accounting workflows
- Calm with ambiguity and high on ownership; turn fuzzy problems into plans, shipped systems, and measurable feedback loops
- Strong technical communicator; write crisp design docs, explain tradeoffs plainly, align engineering, product, and domain experts
