Senior Data Engineer

About the role

Location: Boston, MA (Fenway area, hybrid, 2-3 days a week in the office; not open to remote) · Stage: Series A · Reports to: VP of Engineering

About Vector

Vector is the ABM platform that shows its work. We blend contact-level signals, transparently score every account, put ads in front of the buying committee, and prove they moved pipeline. Every account is staged with evidence, every ad is aimed at a real person, and every dollar maps to pipeline a marketer can see.

Vector was founded by Nick and Josh, who built Drift's sales engineering team together, and is backed by Y Combinator, HubSpot Ventures, and SignalFire. The platform has product-market fit and growing revenue.

Everything a customer sees in Vector starts as data. We ingest 30+ kinds of signals, resolve them to real people, serve them fast, and keep the cost of all of it sensible. That layer is where we need more senior hands.

The Role

We're hiring a senior engineer who is excellent with data systems and who cares what the customer sees at the end of them. You'll work on four areas that decide whether Vector's product is accurate, fast, and affordable:

- Ingestion: getting the many kinds of signals we collect into shape reliably. That includes website visits, LinkedIn engagement, CRM and marketing-system activity, job changes, company events, buyer-intent feeds, and custom signals customers define, plus large provider data deliveries on S3.

- Identity graph: matching events to real people, and keeping that accuracy up as data and sources drift. Accuracy degrades if nobody looks after it, so you will.

- Serving: getting resolved data to customers and ad platforms quickly enough that the product feels live.

- Cost: keeping warehouse, compute, and storage spend in line as data and customers grow.

A typical week. Engineering at Vector runs in two modes, and you can be dedicated to one of them on any given week. Launchpad is keeping the platform healthy and delightful: triage and support, monitoring, paying down technical debt, and the small touches that make customers smile. Missions are focused, time-bound efforts to solve a specific customer problem, taking it from customer and market feedback to new features and products that drive outcomes for our customers. One week might include digging into a match-rate drop, reviewing a teammate's pull request, and making some cross-cutting infra improvements. Another might be heads-down on a mission.

What you'll do

- Own data problems from the underlying problem to the fix in production, and build ingestion and serving pipelines that survive scale, bad inputs, and partial failure. Examples: a match-rate drop, a customer data accuracy complaint, a cost spike.

- Take cost projects end to end: find the spend, change the system, show the saving.

- Review code, give direct feedback, and help junior engineers and co-ops ramp up.

- Make contributions to the customer-facing application, at first small ones, across our Vue.js and TypeScript frontend and Node.js backend. We want data engineers who can follow a fix through to what the customer sees.