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Open nowPosted 30 days ago

Senior Solutions Engineer JAPAC

Supermetrics15 open roles

Where
Australia
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Your applicationOpen nowSenior Solutions Engineer JAPACSupermetrics · Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Supermetrics's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 30 days ago

The posting

Shape the future of cutting-edge marketing technology and deliver real business impact at Supermetrics!

We're looking for a dynamic, experienced Solutions Engineer to join our growing Solutions Engineering team and own the JAPAC region. This role suits a seasoned professional with a strong grasp of the digital marketing and advertising landscape.

In this role, you will...

  • Bring deep MarTech expertise to showcase Supermetrics' solutions and value proposition to key clients, working closely with our Sales team to drive strategic partnerships.
  • Act as a trusted advisor, showing marketers how Supermetrics helps them unlock actionable insights from their data.

Your day-to-day work and responsibilities include...

  • Acting as a product expert when presenting Supermetrics' product range to customers and prospects
  • Making the business and technical outcomes clear for stakeholders across the marketing domain
  • Staying current on product releases and new features, and helping train new hires and colleagues
  • Capturing and relaying customer feedback and requirements to our product development team, so our solutions keep pace with the evolving marketing ecosystem
  • Building deep product knowledge, working closely with our support and product development teams to resolve critical technical issues
  • Understanding the fundamentals of the data stack and quickly picking up new systems relevant to the MarTech ecosystem to support the sales team

This position is for you if you have...

  • 5+ years in a pre sales technical customer-facing role in a SaaS company (or an agency background)
  • A solid understanding of the MarTech or AdTech landscape, including ad platforms (Google Ads, Facebook Ads, etc.), analytics tools (Google Analytics, Adobe Analytics), and marketing automation platforms
  • Strong presentation and communication skills, able to convey the value of technical solutions to marketing professionals and executives
  • A clear understanding of SQL and SQL-based analytics, ideally hands-on; Python, R, or dbt knowledge is a strong plus
  • Familiarity with tools in the following categories:
  • BI and dashboarding: Looker Studio/Looker, Power BI, Tableau
  • Cloud data warehouses: Google BigQuery, Snowflake, Microsoft Fabric, Amazon Redshift
  • Cloud infrastructure: GCP, AWS, Azure
  • Fluent English (Mandarin is a plus)

Benefits we offer...

  • Healthcare benefit
  • Generous paid time off and parental leave
  • Sports and wellbeing allowance
  • A comprehensive benefits package including equity options
  • High-quality work equipment

Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.

#LI-Hybrid #LI-FullTime #LI-MiddleToSeniorLevel

Join us in putting AI to work for marketers

Supermetrics helps marketers make better decisions. It connects marketing data from platforms like Facebook Ads and Google Analytics to the AI tools, analytics tools, and data warehouses marketers already use, putting it right where they need it.

With Supermetrics, a marketer can connect their data to AI tools like Claude and ChatGPT, ask questions about their campaigns, and get insights and recommendations grounded in live data. From there, they can also manage and update campaigns across every connected platform, automatically and in one place, using guardrails to stay in control.

We work with organizations of every size: small teams that want enterprise-level reporting without the overhead, global brands like Dyson and L'Oréal that need visibility across millions in ad spend, and agencies like dentsu and McCann UK that manage large portfolios of client accounts at scale. In total, over 200,000 businesses trust Supermetrics to help them make the best decisions with their marketing data. We've grown from a one-person shop in 2013 into a global powerhouse, and we're only getting started.

Today, we're 300+ people, with teams spread across 10 countries and 3 continents. Our team represents more than 50 nationalities which makes us a multicultural, collaborative, thriving team.

Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and quick to act, we see what needs doing, take ownership, and run with it. As team players, we help each other and win together.

We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.

It all started with a Google t-shirt... Read the rest of our story at supermetrics.com/about.

How we use AI in the recruitment process:

We use AI to help our recruiters work through applications faster, for example, summarizing your resume and scheduling interviews. A recruiter reviews every application, and no hiring decision is ever made by AI.

For some roles, your first interview may be with an AI interviewer instead of a person, and a recruiter reviews that conversation before deciding whether you move forward. From there, our human interviewers may use AI to take notes throughout the rest of the process, never to score or evaluate you, just so they can stay focused on the conversation instead of typing. You'll be told before this happens, and if you'd rather not be recorded, you can opt out at any point. It covers the rest of your process and never affects how you're evaluated. Every hiring decision is made by our human recruiting and hiring teams.

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