Job Title: Marketing Automation Engineer

Build the infrastructure powering the future of restaurant payments

We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You'll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind.

As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role.

Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push - at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models.

What You'll Work On

Platform Execution

• Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app
• Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls
• Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations
• QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering

• Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch
• Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns

Technical Rigor

• Write, understand, and document Liquid code to build dynamic content blocks
• Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues.
• Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you
• Understand technical limitations of campaigns and recommend well-scoped solutions

Segmentation & Personalization

• Build precise, multi-condition audience segments using a full range of segmentation capabilities
• Maintain a clean, documented segment library - consolidating redundant definitions and flagging when underlying data changes affect targeting
• Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably
• Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch

Minimum Qualifications

• 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent)
• 2+ years of experience with Braze
• Deep expertise in journey/canvas building - multi-step, behavior-triggered flows with branching logic, delays, and channel mixing
• Dynamic templating skills: conditional blocks, variable logic, and live data integrations
• Experience with audience segmentation using behavioral data, custom attributes, and event properties
• Solid understanding of contact data models - user profiles, identified vs. anonymous users, subscription and consent management
• Ability to read API responses and event payloads to self-diagnose data issues without engineering support
• Liquid code proficiency
• Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation
• Understanding of email domains/behavior and record management
• SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding
• Familiarity with TCR rules and regulations

Preferred Qualifications

• SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building
• Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior
• Familiarity with how CRM data flows from a backend application via REST API or event streaming
• Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends

Some of Our Benefits

• Generous PTO and company holiday policy + company-paid Short Term Disability
• 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available
• Vision plan available at employee cost
• Child care benefits and generous parental leave
• Dog-friendly Austin office with great views of downtown
• Daily lunches and snacks for in-office team members

Salary

$95,000 - $120,000 DOE