Senior Growth Marketing Manager

inKind•Austin, TX

4h•$130,000 - $180,000•Onsite

About The Position

inKind is seeking a Senior Growth Marketer to own user engagement and lifecycle development. This role combines consumer marketing instincts with strong data and technology fluency to drive results through personalized, lifecycle-driven marketing. The team leverages Braze and Snowflake to turn rich user data into effective marketing programs. The Senior Growth Marketer will own the engagement and lifecycle strategy across in-app, communications, and third-party data platforms, building a marketing program with integrated automated agents. Collaboration with designers, engineers, analysts, and other cross-functional team members is essential.

Requirements

5+ years of B2C marketing experience, ideally for a consumer app
Experience running lifecycle marketing across multiple channels
Demonstrated experience designing and shipping experiments end to end
Comfort analyzing large datasets
Ability to build cohorts and segments from raw data, analyze results independently, and explain them to non-analysts
Hands-on use of AI tools in workflow, and the ability to specify which tools and how they are used

Nice To Haves

Startup experience
Experience with a CEP such as Braze, Iterable, or Customer.io
Experience running paid retargeting to reactivate lapsed diners
Background in consumer marketplaces, rewards, restaurants, or hospitality
SQL familiarity or experience working with a cloud data warehouse (Snowflake, Redshift, BigQuery)
Experience working alongside engineers on automated or data-driven marketing systems

Responsibilities

Own the engagement and lifecycle roadmap, from hypothesis and segmentation to creative and execution to results and measurement to iteration and optimization over time.
Define lifecycle stages (active, lapsing, high-value, dormant) using behavioral data and turn them into programs that improve engagement and user value.
Write creative briefs and project plans for automation and creative teammates.
Build cohorts and segments, and read dashboards independently.
Design and ship experiments end to end (hypothesis, segment, creative, measurement, iteration and optimization), then productionalize successful ones.
Develop processes and tools to track experiments more effectively across campaigns and channels.
Create playbooks, infrastructure, prompts, and documentation for agents running campaigns.
Set guardrails (rules, approval steps, and monitoring) for campaigns run by agents.
Use AI tools in daily workflow and help the team adopt them.