Head of Partnerships

🕒 April 1

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Qualytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

API • Artificial Intelligence • SaaS

Qualytics is a data quality platform that automates and refines data quality controls for enterprises. It provides advanced workflows that integrate into existing data stacks, allowing for centralized management of data quality checks and empowering business users with low/no-code solutions. With features like automated anomaly detection and data reconciliation, Qualytics enhances data confidence and enables scalable governance for organizations of any size.

📋 Description

• Build and manage day-to-day relationships with key ecosystem partners • Maintain regular partner touchpoints and executive alignment • Enable partner sales teams to confidently introduce Qualytics to their customers • Run account mapping exercises to surface joint opportunities • Identify, develop, and track partner-influenced deals through to close • Create repeatable co-sell playbooks in collaboration with sales and marketing • Train partner sellers on Qualytics positioning, use cases, and competitive differentiation • Create partner-facing materials: one-pagers, reference architectures, integration guides • Support partner solution engineers and architects with technical context • Act as the connective tissue between product, sales, and marketing on all partner activity

🎯 Requirements

• 5+ years in partnerships, alliances, or business development roles at a B2B SaaS company • Demonstrated experience building or owning co-sell motions with cloud/data ecosystem partners (Snowflake, Databricks, or equivalent) • Track record of generating measurable partner-influenced pipeline and revenue, not just managing relationships • Ability to operate independently and build from scratch — this is a founding role, not a steady-state job • Strong executive presence and comfort working with both field reps and C-level stakeholders • Nice to Have: Experience in the data quality, data observability, or data catalog space

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development