Sr. ISV & Partner Solutions Architect

WinsAbove; San Francisco (CA); On-site; USD 219,100 - 301,300; Full time

Benefits offered by this job

Equity opportunities

Annual performance bonus

Comprehensive benefits

Job summary

WinsAbove is looking for a Partner Solutions Architect to cultivate technical partnerships with a major Global C&SI partner. You'll help identify GenAI applications and drive strategic initiatives while supporting customer deals.

The ideal candidate has over 8 years of experience in technical customer-facing roles and exceptional ability to build relationships. Benefits include a competitive pay range of $219,100 – $301,300 USD annually, with opportunities for bonuses and equity.

Qualifications

• 8+ years of experience in technical customer-facing roles.
• Track record of partnering with Global C&SI and cloud providers.
• Exceptional ability to build relationships with diverse stakeholders.

Responsibilities

• Cultivate technical relationships with Global C&SI partners.
• Collaborate on industry-specific GenAI applications.
• Intervene to unblock strategic customer deals.

Skills

Technical customer-facing skills

Relationship building

Presentation skills

Technical communication

Job description

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As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C&SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy.

The impact you will have:

• Strategic Technical Partnership: Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues.
• Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment.
• Customer Deal Support: Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Partner Ecosystem & Events: Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
• Product Feedback: Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy.

What we look for:

• 8+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager.
• Track record of successfully partnering with Global C&SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering & IT teams, and more.
• Strong presentation & technical communication skills with technical and business stakeholders.
• Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science.
• Excitement to engage in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
• A love of teaching, mentoring, and helping others succeed.
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing AI systems.
• Can travel up to 30% when needed.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$219,100 — $301,300 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.