Senior Lifecycle Solutions Architect

Hightouch; Polska; Hybrid; PLN 240,000 - 360,000; Full time

Job summary

Hightouch is seeking a senior pre-sales/solutions consultant to own lifecycle strategy and engagement across discovery, validation, and executive conversations. You will demonstrate how audiences, journeys, and content can be built on top of data warehouses, connecting ESPs, CDPs, and personalization engines.

You will lead discovery beyond checklists, frame migration paths, and set expectations for AI-native execution while coordinating with deliverability and data teams to address complex

Qualifications

• At least 5+ years in pre-sales, solutions consulting, lifecycle/CRM strategy, or marketing operations.
• Hands-on time running or architecting lifecycle programs, not only selling into them.
• Experience across multiple ESPs (SFMC, Iterable, Cordial, Braze, Klaviyo, Attentive, or similar).
• Fluency with ESPs, CDPs, personalization engines, and warehouses integration and data freshness implications.
• Ability to surface process pain and build a credible business case in multi-vendor evaluations.
• Bonus if you’ve led ESP migrations, defended platform decisions to executives, and are comfortable with SQL.

Responsibilities

• Be the domain authority for lifecycles across discovery, validation, demos, evaluations, and exec sessions.
• Run discovery that goes past feature checklists into real workflows and pain points.
• Frame a credible high-level migration path early to prevent stalls in deals.
• Pull in deliverability, data engineering, or partner resources when questions exceed depth.

Skills

Pre-sales experience

Solutions consulting

Lifecycle CRM strategy

Marketing operations

Hands-on lifecycle programs

Tools

SQL

Job description

Hightouch is seeking a senior pre-sales/solutions consultant to own lifecycle strategy and engagement across discovery, validation, and executive conversations. You will demonstrate how audiences, journeys, and content can be built on top of data warehouses, connecting ESPs, CDPs, and personalization engines.

You will lead discovery beyond checklists, frame migration paths, and set expectations for AI-native execution while coordinating with deliverability and data teams to address complex