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Tecton · 5 months ago

Solutions Architect

San Francisco

Full-time

Onsite

Mid Level

$195K/yr - $269K/yr

Tecton is a company focused on solving complex data problems in production machine learning. As a Solution Architect, you will drive customer success by leading evaluations, guiding platform adoption, and helping customers scale their use of Tecton’s feature platform.

AnalyticsArtificial Intelligence (AI)Machine LearningPredictive Analytics

No H1B

Responsibilities

Understand customer needs & win technical decisions: Assess customer architectures and ML ecosystems, lead discovery and evaluations, and demonstrate Tecton’s value to drive confident purchase decisions

Enable adoption & scale: Guide customers through onboarding, expansion, and best practices to grow platform maturity and operational excellence

Advance customer success: Monitor adoption trends, optimize usage, and identify opportunities for new use cases and expansion

Amplify expertise: Deliver thought leadership through talks, workshops, and enablement while building reusable demos, playbooks, and reference architectures

Champion the customer voice: Capture and share customer feedback to influence Tecton’s roadmap

Represent Tecton externally: Engage with the broader data and ML ecosystem at meetups, events, and technical communities

Qualification

ML/AI workflowsData pipelinesCloud-native architecturesPre-Sales Account ManagementSolution StorytellingCommunicationCollaborationAdaptabilityCustomer Focus

Required

Technical Depth in Data & ML Ecosystems: Hands-on knowledge of ML/AI workflows, data pipelines, streaming and batch systems (e.g., Spark, Flink, Kafka, Snowflake), and cloud-native architectures (AWS, GCP, Azure)

Pre-Sales Account Management Expertise: Proven success winning technical evaluations and driving adoption within existing customers

Solution Storytelling: Translate complex capabilities into clear business value

Communication & Presence: Confident presenting to engineers, architects, and executives

Collaboration: Partner effectively across teams and share reusable best practices

Adaptability: Thrive in fast-changing, complex technical environments

Customer Focus: Build trust quickly and prioritize customer success