Staff Architect

Our Mission:

6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career.

Staff Architect

Rol e Overview

We’re looking for a Staff Architect to lead architecture and technical delivery for a major domain within 6sense’s Revenue Intelligence platform (e.g., real-time signals ingestion & processing, ML inference/serving, multi-tenant data isolation, or GTM integrations & activation).

This is a senior individual contributor role focused on high-leverage system design + execution leadership : driving architecture for complex initiatives, partnering closely with engineering and product leaders, and ensuring solutions are scalable, resilient, secure, and operable. You will be hands-on where it matters —through reference implementations, prototypes, and deep technical guidance that helps teams ship.

Key Responsibilities

Domain Architecture Ownership

• Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements.
• Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders.
• Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews.

Delivery Enablement (Hands-on Leadership)

• Provide hands-on technical leadership through reference implementations , prototypes/POCs, and critical-path contributions when needed.
• Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy).
• Help teams build “operable” systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking.

Data & Signal Processing (if domain-aligned)

• Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data.
• Drive improvements to data quality, lineage, observability, and freshness SLAs.

AI/ML Serving (if domain-aligned)

• Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts.
• Partner with data science and ML engineering to productionize reliable, scalable ML systems.

Multi-Tenant & P