Data Infrastructure SaaS Recruitment — Sales Engineers & Customer Success Leaders

Data infrastructure is the most technically complex SaaS vertical to sell. Buyers are data engineers, platform architects, and CTOs who evaluate products by reading documentation, testing query performance at scale, and benchmarking against open-source alternatives. The SE who wins these deals needs genuine engineering credibility. Zionic Group places them.

Industry Overview

Data infrastructure SaaS spans analytics platforms, data pipelines and ETL/ELT tools, data warehousing, observability and monitoring, feature stores, data catalogs, and streaming infrastructure. It is a market where open-source alternatives exist for almost every category, which means the commercial product must demonstrate clear value beyond what an internal team could build and maintain.

Australia’s data infrastructure market includes homegrown companies like Buildkite, Canva’s internal platform teams, and Kasna, alongside global vendors with growing ANZ presences — Snowflake, Databricks, Datadog, and Confluent all have Australian sales and customer success teams. The surge in AI/ML workloads has amplified demand for SEs who can discuss GPU compute, vector databases, and model serving alongside traditional data engineering topics.

Typical SE and CSM Roles in Data Infrastructure

Sales Engineers in this vertical run live benchmarks against prospect data sets, build proof-of-concept data pipelines, configure monitoring dashboards during technical evaluations, and handle bake-offs where the prospect’s data engineering team is actively trying to break the product. They need to be comfortable with SQL, Python, cloud infrastructure (AWS, GCP, Azure), and the prospect’s existing data stack.

Customer Success Leaders manage accounts where usage-based pricing means revenue scales with adoption. Their job is to drive deeper integration into the customer’s data workflows, identify expansion opportunities as new teams onboard, and flag technical issues before they become churn triggers. They sit at the intersection of technical account management and commercial strategy.

Common titles include Solutions Engineer, Field Engineer, Developer Advocate (with quota), Technical Account Manager, and Head of Customer Success.

Key Companies Hiring

Australia: Buildkite, Kasna, Propel, Rokt, Canva, Atlassian (data platform), Harrison.ai, Minerva Access.

US/Global: Snowflake, Databricks, Datadog, Confluent, dbt Labs, Fivetran, Monte Carlo, Cribl, ClickHouse, Grafana Labs.

Salary Context

Data infrastructure SEs command top-of-market compensation. Australian packages range from A$150,000 to A$240,000 base plus super, with OTE exceeding A$300,000 at principal level. Customer Success Leaders typically sit between A$150,000 and A$200,000 base. Candidates with hands-on data engineering backgrounds (not just SaaS sales experience) consistently attract the strongest offers.

Why Zionic

Zionic’s founder builds data-driven SaaS products and understands the difference between an SE who can walk through a slide deck and one who can spin up a demo environment, load a prospect’s sample data, and run queries live on the call. We assess candidates on genuine technical depth — their comfort with infrastructure, their ability to read code, and their instinct for where a prospect’s current stack is going to break at scale.

Start a Search

If you need Sales Engineers or Customer Success Leaders who can sell to data engineering teams and platform architects, get in touch. We will deliver a qualified shortlist within five business days.