Beacon Software

SaaS

MemberofTechnicalStaff

$350–600k ~AI est. San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Member of Technical Staff at Beacon Software. Skills: Data infrastructure, Platform engineering, Multi-tenant systems, Event-driven pipelines, ML systems. Own a piece of the core stack. Design the platform”

What You'll Achieve.

Scale by adding software; Lift ceiling by order of magnitude; Onboard portco 50 as fast as portco 5

Industry & Context.

SaaS
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Senior engineering depth, Staff or principal-equivalent experience, Built and operated systems, Clean, idiomatic code, Work in Python, Go, Rust, or TypeScript, Service structure opinion, Distributed systems intuition, Production incident experience

Nice to Have

Prior Staff or Principal Engineer experience, Experience with Iceberg, Polaris, Snowflake, or Databricks at scale, Multi-tenant SaaS or platform infrastructure background, Production experience with LLM-driven systems, Background in offline RL, contextual bandits, or sequential decision-making, Open-source contributions

What You'll Do.

Own a piece of the core stack

Implement the platform

Define technical direction

Build cross-portco data lake

Build ingestion pipeline

Define canonical data model

Build catalog and semantic layer

Build core services and APIs

Build identity services

Build access control services

Build workflow orchestration

Build per-portco data boundaries

Build per-portco compute boundaries

Build per-portco credential boundaries

Build cross-cloud connectivity

Build regional residency

Build workflow and action runtime

Build typed action surfaces

Build human-in-the-loop approval gates

Build observability harness

Build structured logs

Build replay infrastructure

Build regression suites

Design autonomy tiers

Design per-action-class blast-radius caps

Design audit surfaces

How You'll Work.

Team & Collaboration

Cross-portfolio operations; Cross-functional teams; Other engineers; FDEs; Ops engineers

Communication Scope

Defend opinions

Process & Methodology

Roadmap planning

Full Job Description

ABOUT BEACON SOFTWARE Beacon http://www.beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple. Portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and the right software platform can lift that ceiling by an order of magnitude. We are building that platform. A cross-portfolio datalake on open table formats, with a feature store on top that makes the data usable by both people and software. An action layer that runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. A feedback loop underneath that captures every action and outcome with stable identifiers. By the next phase of buildout we will have 100+ portfolio companies running on this platform. That is a problem set with serious data scale, real multi-tenant isolation requirements, and very few precedents to copy from. Beacon has raised $550M+ from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and the family offices of the founders of Stripe, DoorDash, and Ramp.   ABOUT THE ROLE Members of Technical Staff (MTS) are the senior engineers who build the platform that everything else at Beacon runs on. You will own a piece of the core stack end-to-end: design, implementation, operations, and the long-term technical direction of that area. This is a Staff Engineer role in everything but name. We run flat. The work is systems engineering at its core. Multi-tenant data infrastructure across very different portcos. Event-driven pipelines that have to be correct under partial failure. Service architectures that have to stay simple as the product surface grows. APIs and SDKs that other engineers — including FDEs out in the field — will build on every day. ML and agentic systems are part of the stack. They sit on top of a foundation that has to be soli

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