Systems Specialist, Lifecycle Marketing

In this role, you will:

Act as the technical backbone of the lifecycle marketing operations function, owning platform administration and day-to-day execution across martech systems

Administer and maintain Hightouch as the primary reverse ETL platform — including managing parent models, building and updating audience syncs, reviewing and approving sync requests, and ensuring sync health across destinations

Serve as the first line of support for martech systems issues, triaging problems, diagnosing root causes, and either resolving them directly or escalating with clear context to engineering

Partner with engineering and marketing teams to support technical implementations — translating requirements between stakeholders, coordinating handoffs, and helping drive work to completion

Monitor sync performance and pipeline integrity, proactively catching failures, data inconsistencies, or configuration drift before they impact campaigns

Maintain and document platform configurations, data models, and operational processes, ensuring the team has reliable references as systems evolve

Manage access, permissions, and governance across martech platforms, keeping configurations clean and auditable

Support audience segmentation and data hygiene work in partnership with Data and Lifecycle teams

Assist with QA and testing for new integrations, campaign launches, and platform changes, helping catch issues before they hit production

Identify and flag operational inefficiencies, contributing ideas for process improvement and automation opportunities

Contribute to our team’s evolution by building with AI

Qualifications
2–4 years of experience in marketing operations, marketing technology, or a related technical role

Hands-on experience with reverse ETL or data activation platforms — Hightouch or similar tools (Census, ActionIQ, etc) experience strongly preferred

Comfortable working directly with data and audiences in a warehouse-connected environment (Databricks, Snowflake, BigQuery, or similar)

Basic to intermediate SQL skills — able to read, modify, and troubleshoot queries without needing to write complex models from scratch

Strong systems thinker who can follow a data flow end-to-end and identify where things are breaking down

Able to communicate technical context clearly across engineering and marketing audiences — you know how to translate

Detail-oriented with a track record of catching issues before they become incidents

Experience with marketing automation platforms (Iterable, Braze, Marketo, or similar)

Familiarity with event streaming concepts (how data flows from product events into marketing platforms) is a plus

Comfortable in a fast-moving environment where priorities shift and ambiguity is part of the job

Bonus: Has demonstrated the ability to build solutions with AI applications like Claude

Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments

Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)

Disability and life insurance options

401(k) and RRSP matching

Paid parental leave

20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time

Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)

Annual professional development budget and opportunities

Skills Required
2-4 years experience in marketing operations, marketing technology, or related technical role
Hands-on experience with reverse ETL or data activation platforms (Hightouch, Census, ActionIQ)
Experience working with data and audiences in warehouse-connected environments (Databricks, Snowflake, BigQuery)
Basic to intermediate SQL skills (read, modify, troubleshoot queries)
Systems thinking: follow data flows end-to-end and identify breakages
Ability to communicate technical context clearly across engineering and marketing audiences
Detail-oriented with a track record of catching issues before incidents
Experience with marketing automation platforms (Iterable, Braze, Marketo)
Familiarity with event streaming concepts
Ability to build solutions with AI applications (e.g., Claude)
Ability to work independently and manage tasks across multiple projects