Responsibilities

• Design and build B-Stock's buyer lifecycle architecture in Braze — canvases, onboarding journeys, behavioral triggers, re-engagement flows, and retention programs across all buyer segments.
• Own segmentation strategy and execution: define buyer cohorts by behavior, transaction history, lifecycle stage, and engagement score, and build the segmentation logic that powers personalized messaging at scale.
• Orchestrate messaging across channels — email, in-app, push, and SMS — ensuring the right message reaches the right buyer at the right moment without creating fatigue.
• Build and iterate on personalization frameworks: define which buyer signals drive message selection, test and refine scoring logic based on engagement and conversion data.
• Build AI-powered workflows or automations — not just use AI tools — to improve execution speed, personalization, and campaign optimization.
• Own deliverability and list hygiene — monitor sender reputation, manage list/channel health, and troubleshoot delivery issues across email and SMS.
• Partner closely with Product and Data teams to define signal requirements and segmentation infrastructure, writing clear specs (event tracking needs, trigger logic) that engineering can build against.
• Write clear requirements and journey specs that engineering and data teams can act on — bridging marketing strategy and technical implementation.
• Lead experimentation across onboarding flows, messaging, and lifecycle touch points — owning test design, measurement framework, and scale/stop decisions.
• Strategy and prioritization tradeoffs are set at the manager level. This person's responsibility is to execute that strategy with precision, surface what's working and what isn't, and bring recommendations — not to own the strategic direction independently.

Requirements

• 7+ years of marketing experience, with substantial hands-on lifecycle marketing experience and ownership of marketing automation platforms — Braze strongly preferred; Iterable, HubSpot, or Marketo also considered.
• Proven ability to build lifecycle programs from scratch — not just operate or optimize existing ones.
• Strong measurement rigor — comfortable designing experimentation frameworks, defining success metrics, and surfacing clear recommendations from ambiguous data.
• AI-native execution — has personally built AI-powered automations or agentic workflows (not just used AI tools for content) to improve execution speed or operational efficiency.
• Track record of partnering with Product, Engineering, and Analytics to ship lifecycle programs, comfortable aligning cross-functional teams around shared execution goals without formal authority.

Preferred

• Experience in a B2B marketplace, wholesale, or two-sided platform environment.
• Familiarity with auction-based or reverse-logistics models.
• Prior experience managing tiered customer programs — different lifecycle motions for different value segments simultaneously.
• Experience building a personalization or next-best-action system from scratch, including data model, scoring logic, and feedback loop.
• Familiarity with CDP or data pipeline tools (Segment, Snowflake, Amplitude, or similar).

Benefits

• Competitive compensation packages, including bonus and options
• Medical, Dental, and Vision benefits
• Paid Time Off, telecommuting, and matching 401(K)
• Support for continuing education
• Team offsites, social events, and extracurricular activities are a staple
• Snacks, drinks, and the occasional box of donuts