Senior Manager of Applied Field Engineering, Snowflake
AI/ML Product Specialist
$276-362.3k
OTE
$207-271.7k
BASE
+ Equity
3-5 days a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$276-362.3k
OTE
$207-271.7k
BASE
+ Equity
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 2+ years of people management experience, preferably leading technical overlay or specialist teams
- Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
What the job involves
- We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization
- In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics
- You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities
- You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities
- Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
- Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- Participate in Communities of Practice and support knowledge-sharing initiatives across the team
- Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
Application process
- The application window is expected to be open until May 9, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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