Senior Partner Engineer, Snowflake Alliance at SIGMA COMPUTING INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

215000.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake Data Cloud, Technical Alliance Management, Solution Engineering, Product Management, Technical Consulting, Data Analytics, Data Warehousing, Business Intelligence, Cloud Data Platforms, Go-to-Market (GTM), Technical Enablement, Solution Development, Architecture, Stakeholder Relationship Management, Technical Content Creation, AI

Industry

Software Development

Description

A Senior Partner Engineer, Snowflake Alliance is the principal technical advisor and advocate for the Sigma-Snowflake partnership, both internally at Sigma and externally with Snowflake. This role requires a deep, current, and comprehensive understanding of both the Sigma and Snowflake products and the differentiated value they deliver together to joint customers. The Senior Partner Engineer provides technical thought leadership and strategic guidance across the partnership lifecycle, including: enabling technical sales and solution development, managing high-priority technical engagements, driving enablement for field teams, and contributing to overall revenue growth and customer success. Responsibilities: Strategic Technical Alliance Leadership: Serve as the primary technical leader and advocate for the Sigma Computing/Snowflake strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Snowflake AI Data Cloud and Sigma's platform. Deepen and Expand Stakeholder Relationships: Cultivate and maintain robust technical relationships with key personnel at Snowflake, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping. Joint Go-to-Market (GTM) Enablement and Execution: Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos). Platform Integration and Future-Proofing: Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and development. Cross-Functional Technical Subject Matter Expert (SME): Act as the internal authority on the Snowflake platform, providing expert technical guidance and training to Sigma's Sales Engineering, Product, and Engineering teams on best practices for leveraging Snowflake features in conjunction with Sigma. Own the creation and maintenance of technical resources for the field, including deep-dive enablement sessions (e.g., HOLs, workshops). Content and Event Technical Leadership: Lead the technical creation of joint thought-leadership content, including webinars, blogs, solution briefs, demo vignettes, and presentations for major industry events (e.g., Summit, World Tours). Coordinate with Sigma’s Marketing and Demo Engineering teams to ensure high-quality technical representation at all joint GTM activities. Advanced Solution Development: Identify, design, and evangelize high-value, industry-specific technical solutions leveraging the combined capabilities of Sigma and the Snowflake, working with internal teams, Systems Integrator partners, and Snowflake Industry Principals and Field CTOs to package these solutions for field consumption. Qualifications: 5+ years of experience in a highly technical customer-facing or partner-focused role, such as Technical Alliance Management, Solution Engineering, Product Management, or Technical Consulting. Deep and current hands-on experience with the Snowflake Data Cloud is mandatory. Proven understanding of its core architecture, features, and ecosystem integrations. Strong technical background in data analytics, data warehousing, business intelligence (BI), and cloud data platforms. Prior experience working with BI and Analytics platforms is highly preferred; experience with Sigma Computing is a plus. Proven ability to develop and maintain strong, mutually beneficial technical relationships with key stakeholders at major partner organizations (e.g., Product, Engineering, Partner Sales). Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, compelling business value for both technical and non-technical executive audiences. Demonstrated ability to be a self-starter who thrives in a fast-paced, high-growth startup environment and can manage multiple priorities independently. Willingness to travel up to 50% of the time for partner and customer engagements, and company/industry events. Additional Job details The base salary range for this position is $170k – $215k annually. This role also includes variable pay. Variable pay for this role is typically a 75/25 split, with 25% of total compensation tied to variable pay based on performance and goal achievement. Compensation may vary depending on a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the total package provided to compensate and recognize employees for their work at Sigma Computing. This role also includes stock options and a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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Responsibilities

This role serves as the principal technical advisor for the Sigma-Snowflake partnership, driving mutual success through seamless technical integration and maximized utilization of both platforms. Responsibilities include leading strategic technical alliance efforts, deepening stakeholder relationships at Snowflake, and enabling joint Go-to-Market execution.