Haast
Strategic Alliances Manager
United States · Exec
Sponsorship not specified$170k-$180kDetected 2 days ago
AWSGCPComputer VisionCanvaBusiness DevelopmentCustomer Success
About the role
- Haast is one of the first enterprise-grade AI platforms for compliance and legal teams, already trusted by major regulated enterprises, VC-backed, and expanding fast in the US.
- ABOUT HAAST We've transformed compliance from a painful checkbox exercise into an intelligent, automated workflow, cutting review times by 80% and boosting productivity 4x.
- Hyperscaler partnerships are a defining growth lever for Haast, not a nice-to-have.
Responsibilities
- Think Canva for design.
- Build enablement materials, technical integration guides, and joint value propositions that make it easy for hyperscaler partners to sell Haast
- Support channel partnerships with selected GSIs and agencies where hyperscaler relationships open doors
- Work closely with Sales, Product, and Customer Success to ensure partner deals land, expand, and become net-new revenue
- Proven experience in hyperscaler alliances, strategic partnerships, or enterprise business development within SaaS - direct AWS, GCP, or Microsoft partner org experience is essential
- A real network with Google Cloud, AWS, Microsoft, or similar ecosystem partners; people you can actually call and move the needle with
- Evidence of partnership pipeline generated and revenue closed through partners (bring the numbers)
- We share our success with the people who build it.
Compensation
- Competitive compensation. $170-180k USD base salary + solid commission plan with strong earning potential.
Benefits
- Familiarity with regulated markets (financial services, insurance, telco, healthcare) where compliance is mission-critical
- Meaningful equity upside.
- Exceptional learning velocity.
- 401k, health insurance, generous PTO, fully remote/flexible working across the US.
Company info
- At Haast, we believe bold ideas come from diverse perspectives.
This listing is sourced directly from Haast's careers page and normalized into a canonical job model.