Reports to: Knowledge Intelligence Pod Lead
Location: San Francisco or Singapore preferred; open to exceptional candidates with strong overlap across US, Europe, and Asia working hours.
Working Pattern : Full Time
About Multiplier
Multiplier Holdings is a VC-backed startup that acquires and scales professional services firms with AI and automation. We operate in regulated, high-stakes verticals like tax and corporate accounting, where complex workflows and talent shortages make automation especially valuable.
Unlike traditional software vendors, we combine technology and service delivery under one roof, building in-house AI and workflow components configured per firm to boost efficiency and improve the experience for clients and staff. Learn more at multiplierholdings.com.
About the Knowledge Intelligence Pod
The Knowledge Intelligence Pod (KIP) is a vertical product team that owns knowledge-heavy product experiences end-to-end.
KIP helps firms and internal pods find the right information, extract the right facts, verify the evidence behind those facts, and use that knowledge to answer client information requests, prepare accounting working papers, and review documents. The team owns both user-facing product experiences and the core services behind them: document intelligence, search and retrieval, evidence/provenance, answering systems, evaluation, and quality loops.
About the Role
We are looking for a Staff Engineer to help define and build the technical foundation for KIP.
This is a hands-on technical leadership role spanning product engineering, systems architecture, applied AI, and correctness and reliability. You will write production code, design durable abstractions, set technical direction, mentor other engineers, and stay close enough to users to know whether the system is actually making professionals faster and more confident.
Beyond building these systems, you’ll own how they perform, scale, and stay reliable once real professionals depend on them.
What You'll Own
KIP already runs extraction, retrieval, review, and answering systems in real tax workflows. As Staff Engineer, you'll own the core and scale what's working:
Artifact-First Knowledge Platform
Evolve the core data model across documents, emails, uploads, and new sources.
Harden the workflow we run today: ingest, extract, correct, approve, search.
Extend the APIs behind extracted data, provenance, corrections, and approvals.
Push abstractions so new firms onboard without bespoke work.
Document Retrieval, Structuring, and Quality Control
Own the extractors, document analytics, and review surfaces in production.
Deepen structured outputs with confidence signals, provenance, and correction paths.
Expand observability: traces, prompt/model versions, failure modes, regressions.
Full-Stack Product Ownership
Own the review, correction, and answering surfaces professionals use.
Partner with tax professionals and accountants to automate their 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.
Who You Are
8+ years building software, including Staff-level technical leadership on complex systems.
Product-minded and close to users. You judge success by whether professionals work faster and trust the output, not just whether the system returned a response, and you'll sit with tax pros and accountants to watch real work firsthand.
Strong across the stack. You move comfortably between backend systems, APIs, data models, review UIs, and production debugging.
Ideally experienced with applied AI and/or financial systems and data. You've worked deeply with LLMs, retrieval, extraction, and agents, or with the data behind financial and accounting workflows.
Calm with ambiguity, high on ownership. You turn a fuzzy problem into a plan, a shipped system, and a measurable feedback loop, validating hypotheses and adapting as you learn, without waiting for perfect specs.
A strong technical communicator. You write crisp design docs, explain tradeoffs plainly, and align engineering, product, and domain experts around a path forward.
What This Role Is Not
A research-only AI role. You'll experiment with models, retrieval, and agents, but the job is shipping reliable systems into real workflows.
A prompt-engineering-only role. Prompting matters, but the hard work is systems design, evaluation, and earning user trust.
An internal platform or infrastructure-only role. KIP is a vertical product team measured by direct customer value, not internal tickets.
A pure people-management role. You'll lead technically and mentor engineers, but this is a hands-on Staff Engineer role.
Why Join Us
You'll help build the knowledge layer for AI-native professional services firms: the systems that turn messy documents, communications, and firm knowledge into structured, verifiable intelligence professionals can act on. KIP sits at the intersection of financial data and applied AI, where correctness is non-negotiable and the bar for accuracy is high.
The work is early enough that you can shape the architecture, engineering standards, and product direction, and real enough that you'll see whether staff trust what you build and whether it removes painful manual work. If you want to build applied AI systems that become dependable infrastructure for high-stakes professional work, this is it.
What We Offer
A high-impact Staff Engineer role shaping KIP's technical foundation, with direct access to real users and fast feedback loops.
Scope to influence architecture across extraction, retrieval, evaluation, and product surfaces.
Competitive salary plus performance-based bonus and equity.
Unlimited paid leave to rest and recharge.
Remote or flexible hybrid work depending on location.
Comprehensive medical, dental, and vision insurance.
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