Member of Technical Staff
AI summary of the role
Staff-level engineer to own core platform infrastructure end-to-end at a PE firm building a cross-portfolio software platform for vertical SaaS companies.
What you’ll do
- Own one of the core platform areas end-to-end: data platform, core services/APIs, multi-tenant isolation, workflow runtime, observability/evals, or safety/blast radius.
- Design and operate multi-tenant data infrastructure across portfolio companies, including data lake on Iceberg with Snowflake/Databricks and per-portco S3/KMS isolation.
- Build backend services for identity, access control, audit, workflow orchestration, and internal APIs that other engineers depend on.
- Implement workflow and action runtime with typed action surfaces, idempotency, retries, rollback paths, human-in-the-loop gates, and audit trails.
What you’ll bring
- Staff or principal-equivalent engineering depth; built and operated systems that real businesses depend on.
- Proficiency in at least one of Python, Go, Rust, or TypeScript, with ability to work in any of them.
- Distributed systems intuition: idempotency, partial failure, retry semantics, eventual consistency, schema evolution, multi-tenant isolation.
- Data infrastructure experience with Kafka, Spark, dbt, Iceberg, Snowflake, Databricks, BigQuery, or comparable.
Technologies
Iceberg · Snowflake · Databricks · Kafka · Spark · dbt · BigQuery · Python · Go · Rust · TypeScript · AWS
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Beacon Software Beacon 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
More from the job description
About Beacon Software Beacon 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, operati [... source excerpt omitted ...] of a foundation that has to be solid first. This is not infrastructure for its own sake. The platform has to be solid before anything else at Beacon works. That is the job. What You'll Do You will own one of these areas end-to-end: Data platform. The cross-portco data lake on Iceberg with Snowflake or Databricks as the query engine. Per-portco S3 and KMS isolation. The ingestion pipeline from QuickBooks, HubSpot, Salesforce, PostHog, Intercom, Linear, Slack, Gmail, Postgres, Stripe, Zendesk, and our internal tools. The canonical data model that survives contact with very different portcos. The catalog and semantic layer on top so a query like "show me sales across all portc [... source excerpt omitted ...] e ability to safely A/B-test changes across the portfolio. Both for traditional services and for model-driven workflows. Safety and blast radius. Wrong actions against a portco's customers, revenue, or product are the worst kind of mistake we can make. Designing the autonomy tiers, the kill switches, the per-action-class blast-radius caps, and the audit surfaces is foundational platform work, not an afterthought. Who You Are Senior engineering depth. Staff or principal-equivalent. You have built and operated systems that real businesses depend on. You write clean, idiomatic code in at least one of Python, Go, Rust, or TypeScript, and you can work in any of them. You have an op
Employer postings · Data from · Sources